Acceptance of a systematic review as a thesis: survey of biomedical doctoral programs in Europe
- Livia Puljak ORCID: orcid.org/0000-0002-8467-6061 1 , 2 , 3 &
- Damir Sapunar 3
Systematic Reviews volume 6 , Article number: 253 ( 2017 ) Cite this article
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Systematic reviews (SRs) have been proposed as a type of research methodology that should be acceptable for a graduate research thesis. The aim of this study was to analyse whether PhD theses in European biomedical graduate programs can be partly or entirely based on SRs.
In 2016, we surveyed individuals in charge of European PhD programs from 105 institutions. The survey asked about acceptance of SRs as the partial or entire basis for a PhD thesis, their attitude towards such a model for PhD theses, and their knowledge about SR methodology.
We received responses from 86 individuals running PhD programs in 68 institutions (institutional response rate of 65%). In 47% of the programs, SRs were an acceptable study design for a PhD thesis. However, only 20% of participants expressed a personal opinion that SRs meet the criteria for a PhD thesis. The most common reasons for not accepting SRs as the basis for PhD theses were that SRs are ‘not a result of a PhD candidate’s independent work, but more of a team effort’ and that SRs ‘do not produce enough new knowledge for a dissertation’. The majority of participants were not familiar with basic concepts related to SRs; questions about meta-analyses and the type of plots frequently used in SRs were correctly answered by only one third of the participants.
Conclusions
Raising awareness about the importance of SRs and their methodology could contribute to higher acceptance of SRs as a type of research that forms the basis of a PhD thesis.
Peer Review reports
Systematic reviews (SRs) are a type of secondary research, which refers to the analysis of data that have already been collected through primary research [ 1 ]. Even though SRs are a secondary type of research, a SR needs to start with a clearly defined research question and must follow rigorous research methodology, including definition of the study design a priori, data collection, appraisal of study quality, numerical analyses in the form of meta-analyses and other analyses when relevant and formulation of results and conclusions. Aveyard and Sharp defined SRs as ‘original empirical research’ because they ‘review, evaluate and synthesise all the available primary data, which can be either quantitative or qualitative’ [ 2 ]. Therefore, a SR represents a new research contribution to society and is considered the highest level in the hierarchy of evidence in medicine [ 3 ].
SRs have been proposed as a type of research methodology that should be acceptable as the basis for a graduate research thesis [ 4 , 5 ]. To the best of our knowledge, there are no reports on the acceptance of SRs as the basis for PhD theses. A recent review addressed potential advantages and disadvantages of such a thesis type and presented opposing arguments about the issue [ 5 ]. However, there were no actual data that would indicate how prevalent one opinion is over another with regard to the acceptance of a SR as the primary research methodology for a PhD thesis. The aim of this cross-sectional study was to assess whether a PhD thesis in European biomedical graduate programs can be partly or entirely based on a SR, as well as to explore the attitudes and knowledge of individuals in charge of PhD programs with regard to a thesis of this type.
Participants
The Organization of PhD Education in Biomedicine and Health Sciences in the European System (ORPHEUS) includes 105 institutional members from 40 countries and six associate members from Canada, Georgia, Iran, Kyrgyzstan, Kazakhstan and the USA [ 6 ]. The ORPHEUS encompasses a network of higher education institutions committed to developing and disseminating best practice within PhD training programs in biomedicine, health sciences and public health. ORPHEUS approved the use of their mailing list for the purpose of this study. The mailing list had 1049 contacts. The study authors were not given the mailing list due to data protection and privacy. Instead, it was agreed that ORPHEUS officials would send the survey via email to the mailing list. The General Secretary of the ORPHEUS contacted individuals responsible for PhD programs (directors or deputy directors) among the institutional members, via e-mail, on 5th of July 2016. These individuals were sent an invitation to complete an online survey about SRs as the basis for PhD theses. We invited only individuals responsible for PhD programs (e.g., directors, deputy directors, head of graduate school, vice deans for graduate school or similar). We also asked them to communicate with other individuals in charge of their program to make sure that only one person per PhD program filled out the survey. If there were several PhD programs within one institution, we asked for participation of one senior person per program.
The survey was administered via Survey Monkey (Portland, OR, USA). The survey took 5–10 min to complete. One reminder was sent to the targeted participants 1 month after the first mail.
The ethics committee of the University of Split School of Medicine approved this study, which formed part of the Croatian Science Foundation grant no. IP-2014-09-7672 ‘Professionalism in Health Care’.
Questionnaire
The 20-item questionnaire, designed specifically for this study by both authors (LP and DS), was first tested for face validity and clarity among five individuals in charge of PhD programs. The questionnaire was then modified according to their feedback. The questionnaire included questions about their PhD program; whether PhD candidates are required to publish manuscript(s) before thesis defence; the minimum number of required manuscripts for defending a PhD thesis; the authorship requirements for a PhD candidate with regard to published manuscript(s); whether there is a requirement for a PhD candidate to publish manuscript(s) in journals indexed in certain databases or journals of certain quality, and how the quality is defined; the description about other requirements for defending a PhD thesis; whether a SR partly or fully meets requirements for approval of a PhD thesis in their graduate program; what are the rules related to the use of a SR as the basis for a PhD thesis; and the number of PhD theses based on SRs relative to other types of research methods.
Participants were also asked about their opinion with regard to the main reasons that SRs are not recognised in some institutions as the basis for a doctoral dissertation, and their opinion about literature reviews, using a four-item Likert scale, ranging from ‘agree’ to ‘disagree’, including an option for ‘don’t know’. In the last question, the participants’ knowledge about SR methodology was examined using nine statements; participants had to rate each statement as either ‘correct’, ‘incorrect’, ‘unsure’ or ‘I don’t know’. Finally, participants were invited to leave their email address if they wanted to receive survey results. The survey sent to the study participants can be found in an additional file (Additional file 1 ).
Data analysis
Survey responses were entered into a spreadsheet, checked by both authors and analysed using Microsoft Excel (Microsoft Inc., Redmond, WA, USA). Descriptive data are presented as frequencies and percentages. All raw data and analysed data sets used in the manuscript are available from authors on request. A point-biserial correlation (SPSS, IBM, Chicago, IL, USA) was used to measure the strength of the association between results on the knowledge test (continuous variable) and the attitude towards SRs as the basis for dissertations (dichotomous variable; we used the answer to the following question as this measure: ‘Do you agree that a systematic review, in whole or in part, meets the criteria for a publication on which a doctoral dissertation can be based?’).
Study participants
There are 105 institutions included in the ORPHEUS network. We received a response from 86 individuals representing 68 institutions from 37 countries (65% institutional response rate). There were more respondents than institutions because some institutions have several PhD programs and thus several program directors. Those responders were used as a unit of analysis in the analysis of attitudes and knowledge; institutions were the unit of analysis when analysing criteria for theses. Some of the questionnaires ( n = 15) were only partly completed. In most cases, the missing data were related to knowledge about SR methodology.
Overview of requirements for a dissertation
Based on the information provided by the graduate program directors, in the majority of the included PhD programs, students were required to publish a research manuscript prepared within their PhD thesis prior to their thesis defence (83%; n = 64). Among 13 programs (17%) that did not have this requirement, five respondents (38%) indicated that in their opinion their school’s rules related to a PhD thesis should be changed such as to specify that each thesis should be based on work that is already published in a journal.
The minimum number of published manuscripts necessary for the PhD thesis defence was prespecified in 94% ( n = 60) of the programs that required publication of research manuscripts prior to the thesis defence. In most of the programs (37%; n = 22), the number of required manuscripts was three or more. Two manuscripts were required in 30% ( n = 18) and one was required in 33% ( n = 20) of the programs. In four programs, there was no formal policy on this matter, but there was a strong expectation that the student will have contributed substantially to several manuscripts in peer-reviewed journals.
In most cases, the PhD candidates’ contribution to published manuscripts within the PhD thesis was determined through first authorship. A requirement that a PhD candidate should be the first author on a manuscript(s) that constitutes a PhD thesis was reported in 82% ( n = 64) of the graduate programs.
In 60% ( n = 52) of the graduate programs, the quality of the journals where a PhD candidate has to publish research manuscripts as a part of a PhD thesis was defined by the database in which these journals are indexed. The most commonly specified databases were Web of Science (41%; n = 35) and MEDLINE/PubMed (13%; n = 11), followed by Science Citation Index, Scopus, Current Contents, a combination of several databases or, in two cases, a combination of journals from a list defined by some governing body.
Systematic reviews as a PhD thesis
SRs, in whole or in part, met the criteria for acceptable research methodology for a PhD thesis in 47% ( n = 40) of programs, whereas 53% ( n = 46) of programs specifically stated that they did not accept SRs in this context (Fig. 1 a, b). Among the programs that accepted SRs, theses could be exclusively based on a SR in 42% ( n = 17) of programs, while in the remaining programs, SRs were acceptable as one publication among others in a dissertation.
a European PhD programs that recognise a systematic review as a PhD thesis (green dot) and those that do not (red dot). Half red and half green dots indicate the five universities with institutions that have opposite rules regarding recognition of a systematic review as a PhD thesis. The pie chart presents b the percentage of the programs in which systematic reviews, in whole or in part, meet the criteria for a dissertation and c the opinion of participants about whether systematic reviews should form the basis of a publication within a PhD dissertation
The majority of participants (80%; n = 69) indicated that SRs did not meet criteria for a publication on which a PhD dissertation should be based (Fig. 1 c). The main arguments for not recognising a SR as the basis for a PhD thesis are listed in Table 1 . The majority of respondents were neutral regarding the idea that scoping reviews or SRs should replace traditional narrative reviews preceding the results of clinical and basic studies in doctoral theses. Most of the respondents agreed that narrative or critical/discursive literature reviews preceding clinical studies planned as part of a dissertation should be replaced with systematic reviews (Table 2 ).
Most of the programs that accepted SRs as a research methodology acceptable for PhD theses had defined rules related to the use of an SR as part of a PhD thesis (Fig. 2 ). The most common rule was that a SR can be one publication among others within a PhD thesis. Some of the respondents indicated that empty (reviews that did not find a single study that should be included after literature search) or updated reviews could also be used for a PhD thesis (Fig. 2 ).
Frequency of different rules that define the use of systematic reviews as a part of a PhD thesis in European biomedical graduate programs
The results of the survey regarding knowledge about SR methodology indicated that the majority of respondents were not familiar with this methodology. Only three out of nine questions were correctly answered by more than 80% of the participants, and questions about meta-analyses and the type of plots frequently used in a SR were correctly answered by only one third of the participants (Table 3 ). The association between participants’ results on the knowledge test and attitudes towards SRs was tested using a point-biserial correlation; this revealed that lack of knowledge was not correlated with negative attitudes towards SRs ( r pb = 0.011; P = 0.94).
In this study conducted among individuals in charge of biomedical graduate programs in Europe, we found that 47% of programs accepted SRs as research methodology that can partly or fully fulfil the criteria for a PhD thesis. However, most of the participants had negative attitudes about such a model for a PhD thesis, and most had insufficient knowledge about the basic aspects of SR methodology. These negative attitudes and lack of knowledge likely contribute to low acceptance of SRs as an acceptable study design to include in a PhD thesis.
A limitation of this study was that we relied on participants’ responses and not on assessments of formal rules of PhD programs. Due to a lack of familiarity with SRs, it is possible that the respondents gave incorrect answers. We believe that this might be the case since we received answers from different programs in the same university, where one person claimed that SRs were accepted in their program, and the other person claimed that they were not accepted in the other program. We had five such cases, so it is possible that institutions within the same university have different rules related to accepted research methodology in graduate PhD programs. This study may not be generalisable to different PhD programs worldwide that were not surveyed. The study is also not generalisable to Europe, as there are no universal criteria or expectations for PhD theses in Europe. Even in the same country, there may be different models and expectations for a PhD in different higher education institutions.
A recent study indicated a number of opposing views and disadvantages related to SRs as research methodology for graduate theses, including lack of knowledge and understanding by potential supervisors, which may prevent them from being mentors and assisting students to complete such a study [ 5 ]. This same manuscript emphasised that there may be constraints if the study is conducted in a resource-limited environment without access to electronic databases, that there may be a very high or very low number of relevant studies that can impact the review process, that methods may not be well developed for certain types of research syntheses and that it may be difficult to publish SRs [ 5 ].
Some individuals believe that a SR is not original research. Indeed, it has been suggested that SRs as ‘secondary research’ are different than ‘primary or original research’, implying that they are inferior and lacking in novelty and methodological rigour as compared to studies that are considered primary research. In 1995, Feinstein suggested that such studies are ‘statistical alchemy for the 21st century’ and that a meta-analysis removes or destructs ‘scientific requirements that have been so carefully developed and established during the 19th and 20th centuries’ [ 7 ]. There is little research about this methodological issue. Meerpohl et al. surveyed journal editors and asked whether they consider SRs to be original studies. The majority of the editors indicated that they do think that SRs are original scientific contributions (71%) and almost all journals (93%) published SRs. That study also highlighted that the definition of original research may be a grey area [ 8 ]. They argued that, in an ideal situation, ‘the research community would accept systematic reviews as a research category of its own, which is defined by methodological criteria, as is the case for other types of research’ [ 8 ]. Biondi-Zoccai et al. pointed out that the main criteria to judge a SR should be its novelty and usefulness, and not whether it is original/primary or secondary research [ 9 ].
In our study, 80% of the participants reported negative attitudes, and more than half of the respondents agreed with a statement that SRs are ‘not a result of the candidate’s independent work since systematic reviews tend to be conducted by a team’. This opinion is surprising since other types of research are also conducted within a team, and single authorship is very rare in publications that are published within a PhD thesis. On the contrary, the mean number of authors of research manuscripts is continuously increasing [ 10 ]. At the very least, the authors of manuscripts within a PhD will include the PhD candidate and a mentor, which is a team in and of itself. Therefore, it is unclear why somebody would consider it a problem that a SR is conducted within a team.
The second most commonly chosen argument against such a thesis was that SRs ‘do not produce enough new knowledge for a dissertation’. The volume of a SR largely depends on the number of included studies and the available data for numerical analyses. Therefore, it is unfair to label a SR as a priori lacking in new knowledge. There are SRs with tens or hundreds of included studies, and some of them not only include meta-analyses, but also network meta-analyses, which are highly sophisticated statistical methods. However, limiting SRs within a thesis only to those with meta-analysis would be unfair because sometimes meta-analysis is not justified due to clinical or statistical heterogeneity [ 11 ] and the presence or absence of a meta-analysis is not an indicator of the quality of a SR. Instead, there are relevant checklists for appraising methodological and reporting quality of a SR [ 12 , 13 ].
The third most commonly chosen argument against SRs within PhD theses was ‘lack of adequate training of candidates in methodology of systematic reviews’. This could refer to either insufficient formal training or insufficient mentoring. The graduate program and the mentor need to ensure that a PhD candidate receives sufficient knowledge to complete the proposed thesis topic. Successful mentoring in academic medicine requires not only commitment and interpersonal skills from both the mentor and mentee, but also a facilitating institutional environment [ 14 ]. This finding could be a result of a lack of capacity and knowledge for conducting SRs in the particular institutions where the survey was conducted, and not general opinion related to learning a research method when conducting a PhD study. Formal training in skills related to SRs and research synthesis methods [ 15 , 16 ], as well as establishing research collaborations with researchers experienced in this methodology, could alleviate this concern.
One third of the participants indicated a ‘lack of appreciation of systematic review methodology among faculty members’ as a reason against such a thesis model. This argument, as well as the prevalent negative attitude towards SRs as PhD theses, perhaps can be traced to a lack of knowledge about SR methodology; however, although the level of knowledge was quite low in our study, there was no statistically significant correlation between knowledge and negative attitudes. Of the nine questions about SR research methodology, only three questions were correctly answered by more than half of the participants. This could be a cause for concern because it has been argued that any health research should begin with a SR of the literature [ 17 ]. It has also been argued that the absence of SRs in the context of research training might severely hamper research trainees and may negatively impact the research conducted [ 18 ]. Thus, it has been recommended that SRs should be included ‘whenever appropriate, as a mandatory part of any PhD program or candidature’ [ 18 ].
It has recently been suggested that the overwhelming majority of investment in research represents an ‘avoidable waste’ [ 19 ]. Research that is not necessary harms both the public and patients, because funds are not invested where they are really necessary, and necessary research may not be conducted [ 17 ]. This is valid not only for clinical trials, but also for other types of animal and human experiments [ 20 ]. SRs can help improve the design of new experiments by relying on current evidence in the field and by helping to clarify which questions still need to be addressed. SRs can be instrumental in improving methodological quality of new experiments, providing evidence-based recommendations for research models, reducing avoidable waste, and enabling evidence-based translational research [ 20 ].
Four respondents from three institutions indicated that empty SRs are accepted as a PhD thesis. While it makes sense to include such a SR as a part of the thesis to indicate lack of evidence in a certain field, it is highly unlikely that an entire thesis can be based on an empty SR, without a single included study.
There are many advantages of a SR as a graduate thesis [ 4 , 5 ], especially as a research methodology suitable for low-resource settings. A PhD candidate can prepare a Cochrane SR as a part of the PhD thesis, yielding a high-impact publication [ 4 ]. Non-Cochrane SRs can also be published in high-impact journals. A PhD candidate involved in producing a SR within a PhD thesis goes through the same research process as those conducting primary research, from setting up a hypothesis and a research question, to development of a protocol, data collection, data analysis and appraisal, and formulation of conclusions. Graduate programs can set limits, such as the prevention of empty reviews and the recognition of updated reviews as valid for a PhD thesis, and engage experienced researchers as advisors and within thesis evaluation committees, to ensure that a candidate will conduct a high-quality SR [ 4 ]. Conducting a SR should not be mandatory, but candidates and mentors willing to produce such research within a graduate program should be allowed to do so.
Further studies in this field could provide better insight into attitudes related to SRs as graduate theses and explore interventions that can be used to change negative attitudes and improve knowledge of SRs among decision-makers in graduate education.
Raising awareness about the importance of SRs in biomedicine, the basic aspects of SR methodology and the status of SRs as original secondary research could contribute to greater acceptance of SRs as potential PhD theses. Our results can be used to create strategies that will enhance acceptance of SRs among graduate education program directors.
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Acknowledgements
The authors thank the ORPHEUS secretariat for administering the survey and the study participants for taking time to participate in the survey. We are grateful to Prof. Ana Marušić for the critical reading of the manuscript.
This research was funded by the Croatian Science Foundation, grant no. IP-2014-09-7672 ‘Professionalism in Health Care’. The funder had no role in the design of this study or its execution and data interpretation.
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Additional file 1:.
Online survey used in the study. Full online survey that was sent to the study participants. (PDF 293 kb)
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Puljak, L., Sapunar, D. Acceptance of a systematic review as a thesis: survey of biomedical doctoral programs in Europe. Syst Rev 6 , 253 (2017). https://doi.org/10.1186/s13643-017-0653-x
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How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses
Affiliations.
- 1 Behavioural Science Centre, Stirling Management School, University of Stirling, Stirling FK9 4LA, United Kingdom; email: [email protected].
- 2 Department of Psychological and Behavioural Science, London School of Economics and Political Science, London WC2A 2AE, United Kingdom.
- 3 Department of Statistics, Northwestern University, Evanston, Illinois 60208, USA; email: [email protected].
- PMID: 30089228
- DOI: 10.1146/annurev-psych-010418-102803
Systematic reviews are characterized by a methodical and replicable methodology and presentation. They involve a comprehensive search to locate all relevant published and unpublished work on a subject; a systematic integration of search results; and a critique of the extent, nature, and quality of evidence in relation to a particular research question. The best reviews synthesize studies to draw broad theoretical conclusions about what a literature means, linking theory to evidence and evidence to theory. This guide describes how to plan, conduct, organize, and present a systematic review of quantitative (meta-analysis) or qualitative (narrative review, meta-synthesis) information. We outline core standards and principles and describe commonly encountered problems. Although this guide targets psychological scientists, its high level of abstraction makes it potentially relevant to any subject area or discipline. We argue that systematic reviews are a key methodology for clarifying whether and how research findings replicate and for explaining possible inconsistencies, and we call for researchers to conduct systematic reviews to help elucidate whether there is a replication crisis.
Keywords: evidence; guide; meta-analysis; meta-synthesis; narrative; systematic review; theory.
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Systematic reviews: Structure, form and content
This article aims to provide an overview of the structure, form and content of systematic reviews. It focuses in particular on the literature searching component, and covers systematic database searching techniques, searching for grey literature and the importance of librarian involvement in the search. It also covers systematic review reporting standards such as PRISMA-P and PRISMA, critical appraisal and tools and resources to support the review and ensure it is conducted efficiently and effectively. Finally, it summarizes the requirements when screening search results for inclusion in the review, and the statistical synthesis of included studies’ findings.
Provenance and Peer review: Solicited contribution; Peer reviewed; Accepted for publication 24 January 2021.
Introduction
A systematic review collects secondary data, and is a synthesis of all available, relevant evidence which brings together all existing primary studies for review ( Cochrane 2016 ). A systematic review differs from other types of literature review in several major ways. It requires a transparent, reproducible methodology which indicates how studies were identified and the criteria upon which they were included or excluded. As well as synthesis of these studies' findings, there should be an element of evaluation and quality assessment. The systematic review methodology originated in medical and healthcare research, but it has now been adopted by other disciplines, such as engineering, education, economics and business studies. The processes and requirements for conducting a systematic review can seem arduous or time consuming, but with the use of appropriate tools and resources, and with thorough planning undertaken before beginning the review, researchers will be able to conduct their systematic reviews efficiently and smoothly.
This article provides an overview of the structure, form and content of systematic reviews, with a particular focus on the literature searching component. It will also discuss tools and resources – including those relating to reporting standards and critical appraisal of the articles included in the review – which will be of use to researchers conducting a systematic review.
Topic selection and planning
In recent years, there has been an explosion in the number of systematic reviews conducted and published ( Chalmers & Fox 2016 , Fontelo & Liu 2018 , Page et al 2015 ) – although a systematic review may be an inappropriate or unnecessary research methodology for answering many research questions. Systematic reviews can be inadvisable for a variety of reasons. It may be that the topic is too new and there are not enough relevant published papers to synthesise and analyse for a systematic review, or, conversely, that many other researchers have already published systematic reviews on the topic. However, if a scoping search appears to yield sufficient relevant studies for evidence synthesis, and indicates that no previous systematic reviews have been published (or that those previously published require an update or have methodological flaws), systematic reviews are likely to be appropriate.
Most systematic reviews take between six and 18 months to complete, and require a minimum of three authors to independently screen search results. Although many university modules require students to complete systematic reviews, due to this time and authorship requirement, it would be better to describe such student reviews as ‘reviews with systematic literature searches,’ as it is not possible to fulfil all the methodological requirements of a systematic review in a piece of work with a single author. Researchers without the available time or number of potential co-authors may prefer to adopt a different approach, such as narrative, scoping, or umbrella reviews. The systematic, transparent searching techniques outlined in this article can be adopted and adapted for use in other forms of literature review ( Grant & Booth 2009 ), for example, while the critical appraisal tools highlighted are appropriate for use in other contexts in which the reliability and applicability of medical research require evaluation.
Once it has been determined that a systematic review is the appropriate methodology for the research, and that there is sufficient time and resources to conduct it, researchers should then spend some time developing their review topic. It is appropriate at this point to do some scoping searches in relevant subject databases, first to ensure that the proposed review is unique, and meets a research need, and second to obtain a broad overview of the literature that exists, and which is likely to be included in the eventual systematic review. Based on this scoping work, the review topic may need to be refined or adapted, possibly to broaden or narrow it in focus. Once reviewers are satisfied with their chosen topic, the next step is to prepare a protocol which states transparently the methodology they intend to follow when conducting their review.
Creating a protocol
A protocol is a description of the proposed systematic review, including methods, the rationale for the review, and steps which will be taken to eliminate bias while conducting the review. Registering the protocol stakes a claim on the research, and it also means that researchers have done a significant portion of the work required before they formally begin the review, as they will have written the Methods section in draft form and planned what will be necessary to document and report by the time the protocol is finished.
Most protocols are registered with PROSPERO (2020), although it is also possible to upload your protocol on an institutional or subject repository, or publish the protocol in a journal. Guidance for creating a protocol can be found at PRISMA-P (The PRISMA Group et al 2015), or by working through the online training on protocols available at the Cochrane Library ( Cochrane Interactive Learning 2019 ).
Reporting standards and structure
PRISMA (the Preferred Reporting Items for Systematic Reviews and Meta-analyses) is 'an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses' ( Moher et al 2009 ). The PRISMA checklist is a useful guideline of content that should be reported and included in the final published version of the systematic review, and will help when in the planning stages as well. Most systematic reviews will be written up using the PRISMA checklist as their underlying structure, so familiarity with this checklist and the content required when reporting the findings of the systematic review should be established at the earliest planning stages of the research.
PRISMA-P (The PRISMA Group et al 2015) is the reporting guidelines for protocols. The EQUATOR Network lists reporting standards for multiple different types of study design ( EQUATOR Network 2020 ). Researchers can search for the right guideline for their type of study. Those undertaking a Cochrane review should select the correct Cochrane Handbook ( Cochrane Training 2020 ) for their review type.
Search strategy
The search strategy for systematic reviews is the main method of collecting the data which will underpin the review's findings. This means that the search must be sufficiently robust – both sensitive and specific – to capture all relevant articles. Ideally, multiple databases and other sources of information should be searched, using a consistent, predetermined search string. Generally, this will involve multiple synonyms for each theme of the review's topic, and a multifield search including freetext terms in (at minimum) the title and abstract, and the controlled vocabulary in the database thesaurus. These words are then combined with the Boolean operators AND, OR and NOT so that search results are both sensitive and specific.
Grey literature
It is likely that systematic reviews will need to include a search of grey literature as well as the peer-reviewed journal articles found through database searching. Grey literature includes unpublished theses, conference proceedings, government reports, unpublished trial data and more. Leaving grey literature out can run the risk of biasing the reviews results ( Goldacre 2011 ).
Searching grey literature can be challenging. Most sources of grey literature cannot be searched with complex Boolean operators and myriad synonymous keywords in the manner of a database. Likewise, the websites and other sources used to search for grey literature are unlikely to have a controlled vocabulary thesaurus. The Canadian Agency for Drugs and Technologies in Health (CADTH) tool is designed to help adapt complex systematic database search strategies for use when searching for grey literature ( CADTH 2009 ).
Snowballing, hand-searching and reference lists
Sometimes it may be appropriate to 'snowball' a search. This involves screening all the articles that cite included papers (the articles which meet the inclusion criteria after screening). Search for the titles of each included article in Web of Science or Scopus (or both), and any listed citing article which meets your inclusion criteria should also be included in the review.
Hand searching involves looking back through the tables of contents of key journals, conference proceedings, or lists of conference presentations relevant to the systematic review topic. Once key journals have been identified, reviewers should plan how many years back they will look – this will need to be done consistently across all journals that are hand-searched.
After reviewers have screened all the papers identified by the database and grey literature searches, and agreed on which will be included in the review, they should check through these articles' reference lists. Any articles in their reference lists which meet all inclusion criteria should also be included in the review.
Librarian co-authorship
There is some evidence that having a librarian co-author on a systematic review can improve the review's quality. A number of recent studies have indicated that librarian involvement improves the reproducibility of the literature searching ( Hameed et al 2020 , Koffel 2015 , Rethlefsen et al 2015 ). Reviews without librarian involvement often have problems with their search strategies – for example Boolean operators used incorrectly, inappropriate search syntax, or a lack of sufficient synonyms for each search term, meaning that relevant studies might be missed ( Golder et al 2008 , Li et al 2014 ). Unfortunately, in some instances, systematic reviews without librarian co-authors will still be published, even if their search strategies have significant methodological flaws ( Brasher & Giustini 2020 ). Librarian involvement will help ensure that the search strategy is robust, and that it is described accurately in the methodology to ensure that the systematic review is reproducible. Generally, if a librarian is developing the search terms, running the searches in databases and writing the search methods, they should be a co-author of the systematic review, whereas if the librarian supports researchers who then conduct the searches themselves, co-authorship is not necessary. This also aligns with the Vancouver recommendations on co-authorship ( International Committee of Medical Journal Editors 2019 ).
After database and grey literature searches are completed, and researchers have identified other papers through hand-searching, they will need to screen the titles and abstracts to determine if they meet the criteria for inclusion. These criteria should be pre-defined (ie: stated in the protocol before searches have begun). Inclusion criteria might relate to the following:
Date range of publication. Study design type. Whether a study focuses on the review's specific disease, condition, or patient population. Whether a study focuses mainly on the review's specific intervention. Whether a study focused on a certain country, region, or healthcare context (for example primary care, outpatient department, critical care unit, or similar).
This list is not exhaustive, and there are many other inclusion criteria to apply, depending on the scope of the topic of the systematic review. It is important that these criteria are stated clearly in the Methods section of both the protocol and systematic review, and that all co-authors understand them.
Generally, articles are screened against these criteria independently by at least two authors. Initially they should screen the titles and abstracts, and then move on to screening the full text for any articles which could not be judged as fulfilling (or not fulfilling) all inclusion criteria on the basis of the information in their titles and abstracts.
Referencing software such as Endnote, EndnoteWeb, Mendeley or Zotero can be used for screening, or reviewers may prefer to use systematic review screening software such as Covidence or Rayyan.
Critical appraisal tools
There are a number of tools and checklists available to help assess the quality of studies to be included in a review. Studies included in a systematic review should be assessed for their quality and reliability. While poor quality studies should not be excluded if they fulfil predefined inclusion criteria, the systematic review should make clear that all included studies have been assessed according to consistent principles of critical appraisal, and the results of that appraisal should be included in the review.
Most critical appraisal tools consist of different checklists to apply to different types of study design. If a systematic review includes multiple types of study design, it is advisable that researchers are consistent about which tools they use – it is preferable to use different checklists from a single source, rather than picking and choosing from a variety of sources.
If the systematic review is only including peer-reviewed, published journal articles, the checklists from either CASP (Critical Appraisal Skills Programme), Centre for Evidence-Based Medicine, SIGN (Scottish Intercollegiate Guidelines Network), or Joanna Briggs Institute will be appropriate ( Brice 2020 , Centre for Evidence-Based Medicine 2020 , Joanna Briggs Institute 2020 , SIGN 2020 ). Reviews which include grey literature should use a grey literature appraisal tool, such as AACODS ( Tyndall 2008 ). There are also risk of bias assessment tools, such as RoBiS for evaluating systematic reviews, and RoB 2 for evaluating randomized controlled trials ( Bristol Medical School 2020 , Sterne et al 2019 ).
One of the main advantages of systematic reviews is that they combine the analysis of the data from a number of primary studies. Most commonly, this is done through meta-analysis – the statistical combination of results from two or more studies. As outlined in the Cochrane Handbook, in interventional studies, a systematic review meta-analysis will seek to answer these three main questions:
What is the direction of effect? What is the size of effect? Is the effect consistent across [all included] studies? ( Higgins et al 2019 )
The researchers will then make a judgement as to the strength of evidence for the effect. If the systematic review is assessing the effectiveness of a variety of different interventions, it may not be possible to combine all studies for meta-analysis as the studies may be sufficiently different to make meta-analysis inappropriate. Researchers should ensure that when interpreting the results they consider the limitations and potential biases of included studies. When reporting the findings it is also usually necessary to consider applicability, and make recommendations – such as for a change in practice.
Systematic reviews – when an appropriate approach to the topic being researched – are a way to synthesize and evaluate the range of evidence available in multiple primary studies. Their methodology is complex, but if the correct reporting guidelines are followed, and researchers make use of tools, resources and the support of librarians and other information specialists, the process will be more straightforward. Planning is key: researchers should have a clear picture of what is involved, and what will need to be documented and reported in any resulting publications, and put measures in place to ensure that they capture all of this essential information.
No competing interests declared .
ORCID iD: Veronica Phillips https://orcid.org/0000-0002-4383-9434
Structured literature reviews – A guide for students
This is a step-by-step guide aimed at Master's students undertaking a structured literature review as part of their Master's thesis.
There are several different kinds of literature reviews, but any literature review typically includes an extensive literature search. Whenever a systematic approach is used, the literature search features a methodical step-by-step procedure. However, as a Master's student, it might not be possible to fulfill all the criteria of a systematic review when writing a literature review-based thesis; you should rather do a structured literature review, which will include only certain aspects of the systematic review methodology.
In this guide we will go through the different steps of a structured literature review and provide tips on how to make your search strategy more structured and extensive. Additionally, make sure to follow any programme and course specific requirements.
Step 1: Formulate and delimit your research question
- It will be much easier for you to perform a structured information search if you first define and delimit your research question in a clear way.
- One way to define and structure your question is to break it down into different parts .
- PICO and PEO are two different frameworks that can be used for breaking down a research question into different parts.
- You also need to define the most important key concepts of your research question.
The formulation of your research question is partly connected to what kind of literature review you are doing. This article by Maria J. Grant and Andrew Booth usefully compares different kinds of reviews . While a systematic literature review is usually grounded in a clearly delimited and structured question, a scoping review may, for instance, feature a wider problem formulation. The wider a research question is, the larger number of search hits it tends to generate.
To be able to perform a literature review, you need to consider a subject area in which there seems to be a sufficiently large number of original research studies. Therefore, it may be a good idea to test search a database for previous research on the subject while you are trying to formulate and delimit your research question.
One way to structure your research question is to break it down into different parts. A well-delimited question often consists of three to four different parts. PICO and PEO are two examples of frameworks that can help you identify and define your research question.
- PICO ( P opulation, I ntervention, C omparison, O utcome) is primarily used for quantitative research questions.
- PEO ( P opulation, E xposure, O utcome) is primarily used for qualitative research questions.
Structuring your research question in accordance with a framework, such as PICO or PEO, will also help you decide on the inclusion and exclusion criteria of your literature review.
PICO & PEO
After you have delimited your research question, you also need to identify the key concepts that make up your question. Based on these key concepts, you will create " search blocks " that you will use to organise your search terms.
Step 2: Find search terms and create search blocks
- Test searching is a good way to investigate the terminology of a subject area and find search terms.
- Reading key articles can help you gather additional search terms for your final search strategy.
- Find subject headings for PubMed with the help of the US National Library of Medicine's MeSH database.
- Find& free-text search terms by investigating what words that occur in the title and abstract of relevant articles.
- A good way of achieving a structured final search query is to arrange your search terms into search blocks ; these blocks should arise from the key concepts of your research question.
While working on a literature review-based thesis, you will need to search for articles on several occasions. In the beginning of your project, it is often good to do a couple of unstructured and simple search queries, so-called test searches, in academic databases. This way you are off to a good start, as test searching helps you investigate the terminology of your subject area and find relevant search terms. While the final search strategy is typically reported in full, you don't need to present your test queries in your thesis.
Try to find a couple of key articles, that is, articles that correspond to the type of studies that you are planning to include in your review. Use key articles to gather additional search terms for your final search strategy. Analyse the terminology of your key articles by examining what subject headings (MeSH terms, etc.) that the articles have been tagged with and what words that occur in the titles and abstracts.
Test search - find keywords and narrow down your topic
Test search in pubmed & cinahl.
To retrieve as many relevant studies as possible, you will need to include free-text search terms as well as subject headings in your final search strategy. Free-text search terms are words that occur in the article's title and abstract – words used by the authors themselves. Subject headings are subject-related words that an article is tagged with when the article is added to the database.
- In PubMed , articles are tagged with MeSH terms ( Me dical S ubject H eadings). You can look up and browse MeSH terms in the US National Library of Medicine's MeSH database .
- Databases such as CINAHL , PsycInfo , ERIC , and Sociological Abstracts have their own subject heading lists; look up subject headings in each database's subject heading list.
- There are also so-called free-text databases, such as Web of Science . These databases lack subject heading lists. Hence, when searching a free-text database, you can only use free-text search terms.
Find subject headings
An effective way to increase the structure of your final search strategy is to arrange your search terms in so-called search blocks . Create your search blocks based on the key concepts of your research question.
Create search blocks
This search strategy worksheet might help you document and organise your search terms.
Download worksheet
- Worksheet for search terms (Word, 30.54 KB)
Step 3: Search in a structured way
- To get a comprehensive search result, you will need to search for articles in several different databases .
- Your search strategy should be as uniform as possible in every database, but you may have to adapt your use of subject headings .
- As you search the databases, combine your search terms and blocks with the help of AND and OR .
- Save time by documenting your search queries .
When doing a literature review-based thesis it is often wise to use at least two different databases. Many databases overlap, but may also contain unique content. At KI it is common for Master's students to use PubMed and Web of Science when doing a structured literature review as part of their Master's thesis. Depending on your research question, other databases may also be appropriate and useful. Read more about the most frequently used databases at KI .
Your search strategy should be as uniform as possible in every database. However, as mentioned in Step 2, databases may use different subject headings, and some databases only let you use free-text search terms. This means that you need to adapt your use of subject headings depending on the database.
Example: How subject headings may differ between databases
If you want to search for articles about day surgery in PubMed, you should use the MeSH term Ambulatory Surgical Procedures . However, if you also want to perform your search in a database such as CINAHL, you need to use the corresponding CINAHL Headings term instead: Ambulatory Surgery .
There are many different ways of searching databases. Most databases have one simple, basic Google-like search box and one advanced search form. One advantage of the latter is that combining search terms with AND and OR is usually easier in an advanced search form, especially if you will be using both AND and OR within the same search query. However, you can often combine search terms with AND and OR in a basic search box too, and in that case, you often isolate your different search blocks from each other by enclosing each block in parentheses.
Example: A search query that contains AND, OR, and parentheses
( inflammatory bowel diseases OR ulcerative colitis OR crohn disease) AND (adolescent OR child OR young adult OR teenager) AND (self-management OR self care OR self efficacy )
By choosing the advanced search form you will also be able to exert more control over your search process. The advanced search form lets you specify more closely and decide exactly how you want the database to interpret your search terms; this way you can make your search query more precise.
You should always document your search strategy in order to remember what search terms you have used, how these search terms have been combined, and whether you have applied any limits to your search. The easiest way to do this is to copy and paste your search history from the database into a text document. Also, academic databases often let you create a personal account, so that you may save your searches online.
How to do a structured search in PubMed
Step 4: narrowing or broadening your search.
- Briefly examine your search results to see if you need to narrow or broaden your search query.
- Investigate whether your key articles are present in the search results.
- By using the advanced search form you can improve your search.
Prepare yourself for having to modify and redo your search query several times, before deciding on your final search strategy. After you have combined all your search terms and made your very first database search, you should examine the search results and analyse whether your search query is able to generate the type of search hits that you are looking for.
Analyse your search results
- Are all your key articles present in the search results, or are there some key articles that your search query is unable to retrieve?
- Are you getting too few search hits ? Investigate why. Perhaps you need to remove one of your search blocks, add one or several synonyms within a search block, or search for parts of words by truncating one or several of your free-text search terms, in order to broaden your search ?
- Does your search strategy generate too many non-relevant search hits that have nothing to do with your research question? Investigate why. Perhaps you need to add another search block, remove one of the synonyms from one of your search blocks, or search for phrases by enclosing one or several of your free-text terms in quotation marks, in order to narrow your search ?
- More tips on how to improve your search strategy .
It is important to remember that there is nothing wrong, per se, if your search query generates irrelevant hits. This is quite normal when performing a structured literature search. What's important is that your search strategy is able to retrieve the type of articles that you are looking for, and that you are not overwhelmed by the total number of hits (given the time frame of your thesis project).
We recommend that you use the advanced search form when improving your search strategy. By using the advanced search form, you will for example be able to specify which search fields your search terms must be present in.
Narrowing your search
Broaden your search, how to specify the field you would like to search in pubmed, step 5: select and review articles.
- After you have completed your search, you will need to go through all your search hits and select which articles to include in your review.
- When selecting articles, read through the titles and abstracts of each article to decide its relevancy .
- Check the quality of each study that you include in your review.
- When checking the quality of articles, it is common to use critical appraisal worksheets or checklists .
Selecting articles
When you have completed and feel satisfied with your search, it is time to go through all the search hits and select which studies to include in your review. All relevant studies, that is, those studies that correspond to your research question and your previously set inclusion criteria, should be included. You decide on the relevancy of a study primarily by reading through the title and abstract. If you feel unsure, go through the whole article. You can describe your selection process with the help of a flow chart, such as the frequently used PRISMA flow diagram .
One of the challenges of systematic literature searches is that the search strategy should be exhaustive, but at the same time the number of search hits also needs to be kept within reasonable boundaries. A search query needs to be broad enough to retrieve all relevant studies, but on the other hand, this also means that a large portion of the search results will be irrelevant. Hence, even though your search strategy may have generated hundreds of hits, it is fine to only include ten to twenty articles in your review in the end.
Saving articles
If you create a personal account in a database it will be easier for you to save any references that you may find there. Another way of saving and organising article references is to use reference management software. There are several different reference management software, for example Endnote Online and Zotero.
Read more about reference management and see software guides.
Reviewing articles
When you have made your selection, you should critically examine the quality of all articles included in your review. The assessment is typically performed with the help of a critical appraisal guide or checklist. The purpose is to assess the reliability of the study results and whether there are any methodological flaws that may have impacted the results. Qualitative research articles are often reviewed with a focus on authenticity, credibility, and validity.
There are many different critical appraisal worksheets and checklists. Some examples are the SBU checklists for assessing the quality of randomized studies, observational studies, and qualitative research. In the course book How to do a systematic review in nursing there is a review guide that can be used for assessing different kinds of studies (both qualitative and quantitative); the original source is Caldwell, Henshaw & Taylor, 2011 .
Review worksheets and checklists contain criteria and questions that may help you identify flaws, errors, or bias. Sometimes different aspects of the study are scored separately. Later, all scores make up a final score that indicates whether the study is of high, medium, or low quality.
Many programmes and courses provide instructions on which checklists to use when reviewing articles, so check your course guidelines.
Step 6: Report your search strategy
- Describe your search strategy in a manner that makes it possible for your readers to replicate the search and get the same results.
- The search strategy is often presented in the form of a table .
- Look at the search history to see what words and limits that you have used when searching a database.
An important aspect of doing a structured literature review is transparency. It has to be easy for your readers to follow what you did when you searched and selected the articles that you have included in your review. In the method section of your literature review you should describe how you searched different databases. This is also where you describe any manual searches that you did. Search strategies are commonly reported in the form of tables. Present one table for each database.
You can examine your search terms and any limits you have applied when searching a database by visiting its search history.
Read more about how to report your search strategy and view examples.
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Doing a Systematic Review: A Student's Guide
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Annual Review of Psychology
Volume 70, 2019, review article, how to do a systematic review: a best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses.
- Andy P. Siddaway 1 , Alex M. Wood 2 , and Larry V. Hedges 3
- View Affiliations Hide Affiliations Affiliations: 1 Behavioural Science Centre, Stirling Management School, University of Stirling, Stirling FK9 4LA, United Kingdom; email: [email protected] 2 Department of Psychological and Behavioural Science, London School of Economics and Political Science, London WC2A 2AE, United Kingdom 3 Department of Statistics, Northwestern University, Evanston, Illinois 60208, USA; email: [email protected]
- Vol. 70:747-770 (Volume publication date January 2019) https://doi.org/10.1146/annurev-psych-010418-102803
- First published as a Review in Advance on August 08, 2018
- Copyright © 2019 by Annual Reviews. All rights reserved
Systematic reviews are characterized by a methodical and replicable methodology and presentation. They involve a comprehensive search to locate all relevant published and unpublished work on a subject; a systematic integration of search results; and a critique of the extent, nature, and quality of evidence in relation to a particular research question. The best reviews synthesize studies to draw broad theoretical conclusions about what a literature means, linking theory to evidence and evidence to theory. This guide describes how to plan, conduct, organize, and present a systematic review of quantitative (meta-analysis) or qualitative (narrative review, meta-synthesis) information. We outline core standards and principles and describe commonly encountered problems. Although this guide targets psychological scientists, its high level of abstraction makes it potentially relevant to any subject area or discipline. We argue that systematic reviews are a key methodology for clarifying whether and how research findings replicate and for explaining possible inconsistencies, and we call for researchers to conduct systematic reviews to help elucidate whether there is a replication crisis.
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- How to Write a Literature Review | Guide, Examples, & Templates
How to Write a Literature Review | Guide, Examples, & Templates
Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.
What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .
There are five key steps to writing a literature review:
- Search for relevant literature
- Evaluate sources
- Identify themes, debates, and gaps
- Outline the structure
- Write your literature review
A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.
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Table of contents
What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.
- Quick Run-through
- Step 1 & 2
When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:
- Demonstrate your familiarity with the topic and its scholarly context
- Develop a theoretical framework and methodology for your research
- Position your work in relation to other researchers and theorists
- Show how your research addresses a gap or contributes to a debate
- Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.
Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.
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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.
- Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
- Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
- Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
- Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)
You can also check out our templates with literature review examples and sample outlines at the links below.
Download Word doc Download Google doc
Before you begin searching for literature, you need a clearly defined topic .
If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .
Make a list of keywords
Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.
- Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
- Body image, self-perception, self-esteem, mental health
- Generation Z, teenagers, adolescents, youth
Search for relevant sources
Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:
- Your university’s library catalogue
- Google Scholar
- Project Muse (humanities and social sciences)
- Medline (life sciences and biomedicine)
- EconLit (economics)
- Inspec (physics, engineering and computer science)
You can also use boolean operators to help narrow down your search.
Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.
You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.
For each publication, ask yourself:
- What question or problem is the author addressing?
- What are the key concepts and how are they defined?
- What are the key theories, models, and methods?
- Does the research use established frameworks or take an innovative approach?
- What are the results and conclusions of the study?
- How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
- What are the strengths and weaknesses of the research?
Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.
You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.
Take notes and cite your sources
As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.
It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.
Prevent plagiarism. Run a free check.
To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:
- Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
- Themes: what questions or concepts recur across the literature?
- Debates, conflicts and contradictions: where do sources disagree?
- Pivotal publications: are there any influential theories or studies that changed the direction of the field?
- Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?
This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.
- Most research has focused on young women.
- There is an increasing interest in the visual aspects of social media.
- But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.
There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).
Chronological
The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.
Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.
If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.
For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.
Methodological
If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:
- Look at what results have emerged in qualitative versus quantitative research
- Discuss how the topic has been approached by empirical versus theoretical scholarship
- Divide the literature into sociological, historical, and cultural sources
Theoretical
A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.
You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.
Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.
The introduction should clearly establish the focus and purpose of the literature review.
Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.
As you write, you can follow these tips:
- Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
- Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
- Critically evaluate: mention the strengths and weaknesses of your sources
- Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts
In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.
When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !
This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.
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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.
- Sampling methods
- Simple random sampling
- Stratified sampling
- Cluster sampling
- Likert scales
- Reproducibility
Statistics
- Null hypothesis
- Statistical power
- Probability distribution
- Effect size
- Poisson distribution
Research bias
- Optimism bias
- Cognitive bias
- Implicit bias
- Hawthorne effect
- Anchoring bias
- Explicit bias
A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .
It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.
There are several reasons to conduct a literature review at the beginning of a research project:
- To familiarize yourself with the current state of knowledge on your topic
- To ensure that you’re not just repeating what others have already done
- To identify gaps in knowledge and unresolved problems that your research can address
- To develop your theoretical framework and methodology
- To provide an overview of the key findings and debates on the topic
Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.
The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .
A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other academic texts , with an introduction , a main body, and a conclusion .
An annotated bibliography is a list of source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a paper .
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Factors influencing job satisfaction among mental health nurses: a systematic review.
1. Introduction
2. materials and methods, 2.1. search strategy, 2.2. inclusion and exclusion criteria, 2.3. search outcomes, 2.4. data abstraction, 2.5. data synthesis, 2.6. quality appraisal, 3.1. characteristics of the included studies, 3.2. synthesize the outcomes, 3.2.1. comparison between studies conducted in psychiatric hospitals and other psychiatric settings, 3.2.2. extrinsic factors affecting job satisfaction, 3.2.3. intrinsic factors affecting job satisfaction, 3.2.4. personal and emotional factors affecting job satisfaction, 3.2.5. psychosocial factors affecting job satisfaction, 4. discussion, 4.1. comparison between studies conducted in psychiatric hospitals and other psychiatric settings, 4.2. extrinsic and intrinsic factors affecting job satisfaction, 4.3. personal and emotional factors affecting job satisfaction, 4.4. psychosocial factors affecting job satisfaction, 4.5. strengths and limitations, 4.6. burnout, stress, and negative emotions in nurses: implications for healthcare, 5. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.
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Inclusion Criteria | Exclusion Criteria | Key Words | Databases Searched | Number of Studies | |
---|---|---|---|---|---|
Studies that are of a quantitative type. | Studies that are of a qualitative type, systematic reviews, books, and opinion articles. | (Mental Health Nurses OR Psychiatric Nurses OR Nurses in Psychiatric Settings OR Nurses in Mental Health Care) AND (Herzberg’s Two-Factor Theory OR Job Satisfaction OR Motivation–Hygiene Theory OR Two-Factor Theory) AND (Psychiatric Care Settings OR Mental Health Facilities OR Inpatient OR Outpatient OR Community Mental Health OR Acute Care OR Long-term Care) AND (Job Satisfaction OR Work Satisfaction OR Workplace Satisfaction OR Employee Satisfaction OR Nurse Satisfaction OR JS). | PubMed | 124 | |
Studies exclusively focusing on mental health nurses as the population of interest in relation to job satisfaction. | Studies involving healthcare professionals other than mental health nurses (e.g., physicians, therapists, etc.). Additionally, studies involving both healthcare professionals and nurses (mixed populations) are excluded. | CINAHL | 79 | ||
Studies settings should be at psychiatric settings. | Studies that do not specifically investigate mental health care or psychiatric settings. | Cochrane Library | 88 | ||
Studies written in English. | Studies written in languages other than English. | PsycINFO | 81 | ||
Studies published in the last 10 years. | Studies published before 2014. | ||||
Google Scholar | 25 | ||||
Scopus | 18 | ||||
APA PsycNet | 152 | ||||
Total: 567 |
Authors/Year/Data Collection Period/Country | Design | Framework | Sample Strategy/Size/Setting | Measures/Internal and External Validity | Type of Statistical Test | Findings Related to Job Satisfaction among Nurses | Factor Category |
---|---|---|---|---|---|---|---|
[ ] N/S Jordan | Descriptive cross-sectional design | _ | Strategy: non-probability sampling “convenience sampling”. Size: Of 200 nurses, a total of 154 nurses completed the questionnaires (inclusion and exclusion criteria were provided). Setting: Governmental hospital for mental health in Jordan. | The Minnesota Job Satisfaction Questionnaire (MSQ). Cronbach’s alpha = 0.91. Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 86%. | Independent-sample t-tests | Females reported much higher job satisfaction scores (mean = 64.07, SD = 8.88) than males (mean = 55.40, SD = 11.08), t (152) = −5.39, p = 0.000). | Personal |
Married people reported higher satisfaction scores (mean = 63.10, SD = 10.41) compared to single people (mean = 55.95, SD = 10.03), with t (152) = −4.263, p = 0.000). | Personal | ||||||
Participants with an associate degree reported higher satisfaction scores (mean = 61.45, SD = 10.60) compared to those with a bachelor’s degree (mean = 54.18, SD = 9.85), with t (152) = 3.324, p = 0.001). | Personal | ||||||
No significant difference between day shift and evening shift t (152) = 1.551, p = 0.123). | Work conditions (Hygiene) | ||||||
Pearson correlations | Strong and significant positive correlation between age and job satisfaction (r = 0.508, p = 0.01). | Personal | |||||
Strong and significant positive correlation between experience and job satisfaction (r = 0.566, p = 0.01). | Personal | ||||||
Strong and significant positive correlation between salary and job satisfaction (r = 0.780, p = 0.01). | Salary (Hygiene) | ||||||
[ ] June 2013 Nigeria | Descriptive cross-sectional study | _ | Strategy: Random sampling Size: Sample size was 110 mental health nurses (inclusion criteria provided, exclusion criteria unclear). Setting: Neuropsychiatric Hospital, Aro, Abeokuta, Nigeria | The Minnesota Satisfaction Questionnaire (MSQ). Internal Validity Concern: Instrumentation: Reliability & validity unreported, threatening internal validity. External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 96.5%. | Chi-Squared test | Older respondents (aged 40–59 years), of whom 44.4% reported high job satisfaction levels, showed significantly higher levels of job satisfaction compared to younger respondents (aged 20–39 years), of whom 27.7% reported high job satisfaction (χ = 9.59, p = 0.024). | Personal |
No significant difference for marital status, number of children, work cadre, religion, and length of years in service. | Personal | ||||||
[ ] N/S Israel | Cross-sectional quantitative design study | _ | Strategy: non-probability sampling “convenience sampling”. Size: 52 nurses (inclusion & exclusion criteria were not explicitly provided). Setting: A large psychiatric hospital in central Israel. Specifically, nurses working on: Closed wards Open wards. | Toren, Kerzman, and Kagan [ ] instrument. Cronbach’s alpha = 0.81. Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 95%. | Independent-sample t-tests | Level of job satisfaction was notably greater among full-time nurses compared to those who worked part-time (t = 2.05, p < 0.05). | Personal |
[ ] N/S Egypt | Descriptive correlation design | _ | Strategy: Not stated. Size: The sample for the study comprised 50 staff nurses (inclusion criteria provided, exclusion criteria unclear). Setting: Psychiatric Department in Tanta University Hospital and Tanta Mental Health Hospital, Egypt. | Kuopio University Hospital Job Satisfaction Scale (KUHJSS). Cronbach’s α = 0.76 Maslach Burnout Inventory Scale (MBI). Cronbach’s α = 0.76 Internal Validity Concern: Instrumentation: Not a problem External Validity Concern: Based on the characteristics table and findings, it appears that all 50 nurses returned the questionnaire. However, the authors did not explicitly state the response rate. | Pearson’s correlation coefficient | Significant negative correlation (r = −0.555, p = 0.0001) between total burnout score and job satisfaction score, specifically in terms of emotional exhaustion, depersonalization, and accomplishment. | Personal/Emotional factors |
[ ] N/S Sweden | Cross-sectional survey | Herzberg’s motivation–hygiene theory | Strategy: non-probability sampling “convenience sampling”. Size: Out of 130 nurses employed at the clinic, 118 completed the survey (inclusion criteria provided, exclusion criteria unclear). Setting: A psychiatric university hospital clinic located in western Sweden. | The researchers designed a custom-made survey comprising 69 questions. Cronbach’s alpha (0.71–0.89). Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 90.7%. | Multiple regression | Relationships with peers exhibited a significant correlation with job satisfaction (B = 0.263, SE = 0.071, Beta = 0.284, t = 3.704, p = 0.001). | Interpersonal relationship (Hygiene) |
Salary demonstrated a significant correlation with job satisfaction (B = 0.157, SE = 0.06, Beta = 0.120, t = 2.574, p = 0. 019). | Salary (Hygiene) | ||||||
Recognition displayed a positive correlation with job satisfaction (B = 0.298, SE = 0.108, Beta = 0.359, t = 2.759, p = 0.012). | Recognition (Motivation) | ||||||
Responsibility showed a positive correlation with job satisfaction (B = 0.109, SE = 0.058, Beta = 0.149, t = 1.879, p = 0.023). | Responsibility (Motivation) | ||||||
[ ] November to December 2021 China | Cross-sectional descriptive study | _ | Strategy: Simple random sampling Size: Of the 229 questionnaires distributed, 212 were completed and returned (inclusion and exclusion criteria were provided). Setting: The study was conducted among psychiatric nurses working in psychiatric units in four Grade-A tertiary hospitals in Jiangsu Province, China. | Job satisfaction scale. Cronbach’s alpha ranged from 0.916, to 0.969 (two dimensions). The MBI-GS job burnout scale. Cronbach’s alpha values of 0.911 for the overall scale, and 0.956, 0.965, and 0.953 for the emotional exhaustion, depersonalization, and low personal accomplishment subscales, respectively. Internal Validity Concern: Instrumentation: Not a problem External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 92.58%. | Pearson correlation | Significant negative correlation between satisfaction with “Status at Work” and job burnout (r = −0.415, p < 0.000). | Status (Motivation) |
Significant negative correlation between satisfaction with “Interpersonal Relationships at Work” and job burnout (r = −0.220, p = 0.019). | Interpersonal relationship (Hygiene) | ||||||
[ ] February 2016 to March 2016 Egypt | Descriptive correlation research design. | _ | Strategy: non-probability sampling “convenience sampling”. Size: 50 nurses (inclusion and exclusion criteria were provided). Setting: Abbassya Mental Health Hospital in Egypt. | Mueller and McCloskey Satisfaction Scale. Cronbach’s alpha = 0.85. Nurses’ professional identity tool. Cronbach’s alpha = 0.96. Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Based on the characteristics table and findings, it appears that all 50 nurses returned the questionnaire. However, the authors did not explicitly state the response rate. | Pearson correlation | Statistically significant positive correlations between total nurses’ professional identity scores and nurses’ satisfaction, with a correlation coefficient of r = 0.589. Additionally, the relationship between nurses’ professional identity and nurses’ satisfaction was statistically significant, with a p-value of 0.000. | Personal |
[ ] N/S Western US | Descriptive, cross-sectional study. | _ | Strategy: non-probability sampling “convenience sampling”. Size: From a total of 260 nurses, only 94 RNs completed the online survey (inclusion criteria provided, exclusion criteria unclear). Setting: A large inpatient state-run psychiatric hospital in the western US. | Custom-made questionnaire Internal Validity Concern: Instrumentation: Reliability & validity unreported, threatening internal validity. External Validity Concern: Response Rate: The study reported a low response rate of 36%. | Pearson correlations | Employees who receive feedback before disciplinary action is taken tend to have higher job satisfaction (p < 0.05). | Recognition (Motivation) |
Recognizing and acknowledging employees’ additional credentials is linked to higher job satisfaction with (p < 0.05). | Recognition (Motivation) | ||||||
Providing employees with opportunities for growth and development is significantly related to higher job satisfaction with (p < 0.05). | Growth (Motivation) | ||||||
[ ] 2013 Taiwan | Correlational cross-sectional design. | _ | Strategy: Stratified random sampling. Size: 185 nurses (inclusion and exclusion criteria were provided). Settings: Diverse range of acute care institutions across Taiwan, including academic medical centers (n = 4), metropolitan hospitals (n = 9), and district hospitals (n = 12), with a specific focus on acute psychiatric wards and psychiatric nurses providing care to patients with mental health conditions. | Job satisfaction was evaluated using a single item adapted from Yoder [ ]. Internal Validity Concern: Instrumentation: Reliability & validity unreported, threatening internal validity. Indicators of a quality nursing work environment. Internal Validity Concern: Cronbach’s α = 0.93 Instrumentation: Not a problem External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 99%. | Hierarchical regression models after adjusting for variables | Professional specialization and teamwork were positively related to job satisfaction (t = 2.496, β = 0.203, B = 0.170, p < 0.05). Support and caring in the work environment were positively related to job satisfaction (t = 5.531, β = 0.592, B = 0.514, p < 0.001). | Interpersonal relationship (Hygiene) Responsibility (Motivation) |
[ ] June to August 2017 Japan | Correlational cross-sectional design. | Conceptual framework | Strategy: Random sampling. Size: From a total of 1097 nurses, 663 psychiatric nurses responded (inclusion and exclusion criteria were provided). Setting: 13 psychiatric hospitals in the Chugoku area. | Negative Feeling Toward Patient Frequency scale. Cronbach’s α = 0.953. Support in workplace scale. Cronbach’s α: SW (supervisors) = 0.976; SW (co-workers) = 0.971. The new Brief Job Stress Questionnaire (job stress and satisfaction). Cronbach’s α: (job satisfaction) = 0.722; (job stress) = 0684). Internal Validity Concern: Instrumentation: Not a problem External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 60.4% (663 out of 1097), and of those respondents, 87.0% (577 out of 663) provided valid responses without missing data. | Logistic regression | Nurses’ job satisfaction levels were positively correlated with support from supervisors (B = 0.067, SE = 0.009, p = 0.000, OR: 1.069). | Supervision (Hygiene) |
Nurses’ job satisfaction levels were negatively correlated with job stress levels (B = −0.287, SE = 0.038, p = 0.000, OR: 0.751). | Working conditions (Hygiene) | ||||||
Nurses’ job satisfaction levels were negatively correlated with the frequency of experiencing negative emotions (B = −0.020, SE = 0.005, p = 0.000, OR: 0.980). | Personal/Emotional factor | ||||||
[ ] Between November and December 2017 South Africa | Cross-sectional study | _ | Strategy: Not stated Size: From a total of 221 psychiatric nurses, 132 psychiatric nurses participated (inclusion and exclusion criteria were provided). Setting: Stikland Psychiatric Hospital in Belville. | Job Satisfaction Survey (JSS). Copenhagen Burnout Inventory (CBI). Internal Validity Concern: Instrumentation: Reliability & validity unreported, threatening internal validity. External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 60%. | Linear regression | Higher levels of burnout were significantly associated (r = −0.077, p < 0.01) with lower levels of job satisfaction (Negative correlation). | Working conditions (Hygiene) |
No significant associations between job satisfaction and gender. | Personal | ||||||
No significant associations between job satisfaction and rank. | Personal | ||||||
No significant associations between job satisfaction and years of experience. | Personal | ||||||
[ ] N/S USA | Correlational, exploratory design | Quinn’s [ ] Model of Managerial Leadership Roles and the conceptual framework of Mobley’s [ ] Model of Employee Turnover. | Strategy: Snowball sampling Size: Out of the 4520 nurses initially eligible, a final sample of 83 participants was used for analysis (inclusion and exclusion criteria were provided). Setting: A variety of mental health settings (regular hospitals, psychiatric hospitals, prisons, jails, outpatient mental health organizations). | Job Satisfaction Survey (JSS). Cronbach’s alpha ranged from 0.60 to 0.82 (nine aspects: pay, promotion, supervision, benefits, contingent rewards, operating procedures, coworkers, nature of work, and communication). Competing Values Managerial Skills Instrument. Cronbach’s alpha ranged from 0.76 to 0.88 (leadership behavior roles: broker role, coordinator role, director role, facilitator role, mentor role, producer role, and innovator role). Internal Validity Concern: Instrumentation: Not a problem External Validity Concern: No report on response rate. | Canonical correlation analysis | Millennial psychiatric nurses who perceived their managers to display the roles in being a facilitator (rs = 0.618), mentor (rs = 0.965), innovator (rs = 0.691), broker (rs = 0.588), producer (rs = 0.692), director (rs = 0.746), and monitor (rs = 0.749)) more frequently, tended to have higher job satisfaction in terms of: | |
Pay, contingent rewards | Benefit (Hygiene) | ||||||
Promotion | Advancement (Motivation) | ||||||
Supervision | Supervision (Hygiene) | ||||||
Coworkers | Interpersonal relationship (Hygiene) | ||||||
Nature of work | Work itself (Motivation) | ||||||
Communication | Interpersonal relationship (Hygiene) | ||||||
[ ] From 16–24 December 2014 Singapore | Cross-sectional study | _ | Strategy: non-probability sampling “convenience sampling”. Size: 726 nurses (inclusion and exclusion criteria were provided). Setting: A tertiary psychiatric institution in Singapore. | McCloskey and Mueller Satisfaction Scale (MMSS). Cronbach alpha = 0.89. Resilience Scale. Cronbach alpha ranged from 0.72 to 0.94. Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 83.1%. | Linear regression | Positive association between resilience and job satisfaction (β = 0.109, t = 2.953, p = 0.003). | Personal/Emotional factor |
[ ] From 18–31 December 2017 China | Cross-sectional survey. | _ | Strategy: Although not explicitly stated, the study appears to use stratified sampling, targeting specific hospitals in specific locations to ensure regional representation. Size: Among the total of 9907 nurses, a response was received from 8493 nurses (inclusion and exclusion criteria were provided). Setting: 32 tertiary psychiatric hospitals in 29 provincial capitals in China. | Short-form Minnesota Satisfaction Questionnaire (MSQ). Cronbach’s alpha was >0.7. Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Not a problem; the study reported a response rate of 85.7%. | Multiple linear regression | Age was negatively associated with job satisfaction, such that the age groups of 28–32 years (B = −0.975, p < 0.05), 33–40 years (B = −1.973, p < 0.05), and 41 years and above (B = −3.191, p < 0.05) all had significantly lower job satisfaction scores compared to the youngest reference group (27 and below). | Personal |
Monthly income demonstrated a positive association with job satisfaction (p < 0.05). | Salary (Hygiene) | ||||||
Negative association between working more than 40 h per week and job satisfaction scores for nurses (B = −2.702, p < 0.05). | Work conditions (Hygiene) | ||||||
Social recognition showed a positive association with job satisfaction (p < 0.05). | Recognition (Motivation) | ||||||
Nurse–physician collaboration exhibited a positive association with job satisfaction (p < 0.05). | Interpersonal relationship (Hygiene) | ||||||
Experiencing violence initiated by patients, whether in the form of verbal abuse or physical assault, had a negative correlation with job satisfaction (p < 0.05). | Experienced violence (Psychosocial factor) | ||||||
[ ] N/S Egypt | Descriptive correlational design | _ | Strategy: non-probability sampling “convenience sampling”. Size: A total of 600 individuals from all departments (inclusion criteria provided, exclusion criteria unclear). Setting: Al-Abbassia Mental Health Hospital (AMHH), Egypt. | -Work place Violence Scale Cronbach’s alpha coefficient = 0.90 -Job Satisfaction Scale Cronbach’s alpha coefficient = 0.87 -Work Productivity Scale Cronbach’s alpha coefficient = 0.60 Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Based on the frequency distribution table, all 600 nurses returned the questionnaire. However, the authors did not explicitly state the response rate. | Correlation coefficient | There is a strong statistically significant relationship between violence and job satisfaction, with correlation coefficients of R = 0.059 and R = 0.234 at p = 0.000, respectively. | Workplace violence (Psychosocial factor) |
Correlation between types of aggression subscales, job satisfaction, and recurrence of violence: | Workplace violence (Psychosocial factor) | ||||||
Verbal Aggression and Job Satisfaction: R = 0.105, p = 0.005 (weak positive correlation, statistically significant) Verbal Aggression and Recurrence of Violence: R = 0.081, p = 0.005 (weak positive correlation, statistically significant) Physical Aggression Toward Things and Job Satisfaction: R = 0.145, p = 0.005 (weak positive correlation, statistically significant) Physical Aggression Toward Things and Recurrence of Violence: R = 0.167, p = 0.005 (moderate positive correlation, statistically significant) Physical Aggression Toward Self and Job Satisfaction: R = 0.168, p = 0.005 (moderate positive correlation, statistically significant) Physical Aggression Toward Self and Recurrence of Violence: R = 0.199, p = 0.005 (moderate positive correlation, statistically significant) Physical Aggression Toward Others and Job Satisfaction: R = 0.166, p = 0.005 (moderate positive correlation, statistically significant) Physical Aggression Toward Others and Recurrence of Violence: R = 0.206, p = 0.005 (stronger moderate positive correlation, statistically significant) | |||||||
[ ] September to November 2021 Egypt | Descriptive correlational design | _ | Strategy: Although not explicitly stated, the study seems to employ non-probability sampling, specifically convenience sampling. Size: A total of 106 out of 140 psychiatric nurses who fulfilled the study’s inclusion criteria took part in the research (inclusion criteria provided, exclusion criteria unclear). Setting: Al Abbassia mental health hospital in Cairo. | Workplace Violence in Healthcare Questionnaire (WPVHC) Cronbach’s alpha coefficient = 0.85 Perceived Stress Scale (PSS) Cronbach’s alpha coefficient = 0.94 Satisfaction of Employee in Healthcare Scale (SEHC) Cronbach’s alpha coefficient = 0.85 Internal Validity Concern: Instrumentation: Not a problem. External Validity Concern: Response Rate: Based on the frequency distribution table, it appears that all 106 nurses returned the questionnaire. However, the authors did not explicitly state the response rate. | Multiple linear regression | Statistically significant positive correlations were identified among the overall scores of workplace violence, perceived stress, and job satisfaction among the psychiatric nurses in the study (p < 0.001). This indicates that as exposure to workplace violence increases, both perceived stress and job satisfaction are likely to rise within this group. | Workplace violence (Psychosocial factor) |
Study | Were the Criteria for Inclusion in the Sample Clearly Defined? | Were the Study Subjects and the Setting Described in Detail? | Was the Exposure Measured in a Valid and Reliable Way? | Were Objective, Standard Criteria Used for Measurement of the Condition? | Were Confounding Factors Identified? | Were Strategies to Deal with Confounding Factors Stated? | Were the Outcomes Measured in a Valid and Reliable Way? | Was Appropriate Statistical Analysis Used? |
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Hudays, A.; Gary, F.; Voss, J.G.; Arishi, A.; Alfar, Z.A.; Algodimi, A.M.; Fitzpatrick, J.J. Factors Influencing Job Satisfaction among Mental Health Nurses: A Systematic Review. Healthcare 2024 , 12 , 2040. https://doi.org/10.3390/healthcare12202040
Hudays A, Gary F, Voss JG, Arishi A, Alfar ZA, Algodimi AM, Fitzpatrick JJ. Factors Influencing Job Satisfaction among Mental Health Nurses: A Systematic Review. Healthcare . 2024; 12(20):2040. https://doi.org/10.3390/healthcare12202040
Hudays, Ali, Faye Gary, Joachim G. Voss, Amal Arishi, Zainab A. Alfar, Ali M. Algodimi, and Joyce J. Fitzpatrick. 2024. "Factors Influencing Job Satisfaction among Mental Health Nurses: A Systematic Review" Healthcare 12, no. 20: 2040. https://doi.org/10.3390/healthcare12202040
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by Angela Boland, M. Gemma Cherry and Rumona Dickson. Chapter 1. Carrying Out a Systematic Review as a Master's Thesis. Explore the wealth of resources available across the web. Here are some good places to start. Link to the Campbell Collaboration, an organization that prepares, maintains and disseminates systematic reviews in education, crime ...
Doing a Systematic Review: A Student's Guide. by Angela Boland, M. Gemma Cherry and Rumona Dickson. Chapter 1: Carrying Out a Systematic Review as a Master's Thesis. What Is The Difference Between A Systematic Review And A Meta-Analysis?
by Angela Boland, M. Gemma Cherry and Rumona Dickson. Chapter 1: Carrying Out a Systematic Review as a Master's Thesis. Chapter 3: Defining My Review Question and Identifying Inclusion and Exclusion Criteria. Chapter 5: Applying Inclusion and Exclusion Criteria. Chapter 8: Understanding and Synthesizing Numerical Data from Intervention Studies.
Doing a Systematic Review 4 (as we suggest you do). Discussing your learning objectives with your supervisor and exploring alternatives with your classmates or colleagues can often help you to clarify these objectives. Box 1.1 outlines some of the advantages and disadvantages of conducting a systematic review as part of a Master's thesis.
Informed by the principle of constructive alignment, this article thus provides guidelines for conducting a systematized literature review on quantitative studies within the scope of a master's thesis in public health, incorporating key elements of a systematic review (i.e., transparency, reproducibility) in a pedagogical context.
Systematic Review as a Master's Thesis Rumona Dickson, M. Gemma Cherry and Angela Boland 01_Boland_Ch-01.indd 1 10/22/2013 11:17:37 AM. guide protocolresearch meta-analysis synthesis question searching quality-assessment searches supervisorstudies methods discussion databases management post-graduate qualitative
A systematic review is a type of review that uses repeatable methods to find, select, and synthesize all available evidence. It answers a clearly formulated research question and explicitly states the methods used to arrive at the answer. Example: Systematic review. In 2008, Dr. Robert Boyle and his colleagues published a systematic review in ...
Background. Systematic reviews (SRs) are a type of secondary research, which refers to the analysis of data that have already been collected through primary research [].Even though SRs are a secondary type of research, a SR needs to start with a clearly defined research question and must follow rigorous research methodology, including definition of the study design a priori, data collection ...
Doing a Systematic Review. : Angela Boland, Gemma Cherry, Rumona Dickson. SAGE, Oct 28, 2017 - Social Science - 304 pages. Written in a friendly, accessible style by an expert team of authors with years of experience in both conducting and supervising systematic reviews, this is the perfect guide to using systematic review methodology in a ...
Background Systematic reviews (SRs) have been proposed as a type of research methodology that should be acceptable for a graduate research thesis. The aim of this study was to analyse whether PhD theses in European biomedical graduate programs can be partly or entirely based on SRs. Methods In 2016, we surveyed individuals in charge of European PhD programs from 105 institutions. The survey ...
Doing a Systematic Review by Angela Boland (Editor); Gemma Cherry (Editor); Rumona Dickson (Editor) If you are a Masters or a PhD student conducting a systematic review for your dissertation or thesis, then this is the book for you! Written by an expert team of authors with years of experience in conducting systematic reviews and supervising ...
A systematic review is a type of review that uses repeatable methods to find, select, and synthesise all available evidence. It answers a clearly formulated research question and explicitly states the methods used to arrive at the answer. Example: Systematic review. In 2008, Dr Robert Boyle and his colleagues published a systematic review in ...
Systematic reviews are characterized by a methodical and replicable methodology and presentation. They involve a comprehensive search to locate all relevant published and unpublished work on a subject; a systematic integration of search results; and a critique of the extent, nature, and quality of evidence in relation to a particular research question.
A Systematic Review (SR) is a synthesis of evidence that is identified and critically appraised to understand a specific topic. SRs are more comprehensive than a Literature Review, which most academics will be familiar with, as they follow a methodical process to identify and analyse existing literature (Cochrane, 2022).This ensures that relevant studies are included within the synthesis and ...
Topic selection and planning. In recent years, there has been an explosion in the number of systematic reviews conducted and published (Chalmers & Fox 2016, Fontelo & Liu 2018, Page et al 2015) - although a systematic review may be an inappropriate or unnecessary research methodology for answering many research questions.Systematic reviews can be inadvisable for a variety of reasons.
This is a step-by-step guide aimed at Master's students undertaking a structured literature review as part of their Master's thesis. There are several different kinds of literature reviews, but any literature review typically includes an extensive literature search. Whenever a systematic approach is used, the literature search features a ...
by Angela Boland, M. Gemma Cherry and Rumona Dickson. Chapter 1: Carrying Out a Systematic Review as a Master's Thesis. Chapter 3: Defining My Review Question and Identifying Inclusion and Exclusion Criteria. Chapter 5: Applying Inclusion and Exclusion Criteria. Chapter 8: Understanding and Synthesizing Numerical Data from Intervention Studies.
This Master of Science thesis uses a systematic literature review to identify the current research. The thesis presents a systematic literature review on agile project management, and conducts a classification of the studies. It provides a comprehensive study of planning, conducting and documenting the outcome of the APM review.
at each of these in turn.IntroductionThe first part of any literature review is a way of inviting your read. into the topic and orientating them. A good introduction tells the reader what the review is about - its s. pe—and what you are going to cover. It may also specifically tell you.
Systematic reviews are characterized by a methodical and replicable methodology and presentation. They involve a comprehensive search to locate all relevant published and unpublished work on a subject; a systematic integration of search results; and a critique of the extent, nature, and quality of evidence in relation to a particular research question. The best reviews synthesize studies to ...
A systematic review is a structured, comprehensive, transparent, and methodical ... or critical/discursive reviews for example) conducted at the Master's level could also inform future plans for a systematic review at the doctoral level . ... Cochrane systematic review as a PhD thesis: An alternative . with numerous advantages. Biochemia ...
Examples of literature reviews. Step 1 - Search for relevant literature. Step 2 - Evaluate and select sources. Step 3 - Identify themes, debates, and gaps. Step 4 - Outline your literature review's structure. Step 5 - Write your literature review.
In working on their thesis, students are guided by a master's thesis supervisor (or advisor) who is responsible for fostering the required skills and competences through one-on-one or small-group teaching over an extended period of time, making master's thesis supervision a key teaching role for student development, as well as an increasingly prevalent role for academics (i.e., Filippou, 2020 ...
Background/Objectives: Job satisfaction is crucial for healthcare professionals, and understanding its influencing factors is essential for fostering a positive work environment, reducing turnover rates, and improving the overall quality of patient care. This systematic review examined the factors linked to nurse job satisfaction in psychiatric hospitals and diverse psychiatric settings ...