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Headline
This study found evidence of publication and related bias in quantitative health services and delivery research, highlighted features influencing its occurrence, detection and mitigation, and uncovered diverse views among stakeholders
Abstract
Background:
Bias in the publication and reporting of research findings (referred to as publication and related bias here) poses a major threat in evidence synthesis and evidence-based decision-making. Although this bias has been well documented in clinical research, little is known about its occurrence and magnitude in health services and delivery research.
Objectives:
To obtain empirical evidence on publication and related bias in quantitative health services and delivery research; to examine current practice in detecting/mitigating this bias in health services and delivery research systematic reviews; and to explore stakeholders’ perception and experiences concerning such bias.
Methods:
The project included five distinct but interrelated work packages. Work package 1 was a systematic review of empirical and methodological studies. Work package 2 involved a survey (meta-epidemiological study) of randomly selected systematic reviews of health services and delivery research topics (n = 200) to evaluate current practice in the assessment of publication and outcome reporting bias during evidence synthesis. Work package 3 included four case studies to explore the applicability of statistical methods for detecting such bias in health services and delivery research. In work package 4 we followed up four cohorts of health services and delivery research studies (total n = 300) to ascertain their publication status, and examined whether publication status was associated with statistical significance or perceived ‘positivity’ of study findings. Work package 5 involved key informant interviews with diverse health services and delivery research stakeholders (n = 24), and a focus group discussion with patient and service user representatives (n = 8).
Results:
We identified only four studies that set out to investigate publication and related bias in health services and delivery research in work package 1. Three of these studies focused on health informatics research and one concerned health economics. All four studies reported evidence of the existence of this bias, but had methodological weaknesses. We also identified three health services and delivery research systematic reviews in which findings were compared between published and grey/unpublished literature. These reviews found that the quality and volume of evidence and effect estimates sometimes differed significantly between published and unpublished literature. Work package 2 showed low prevalence of considering/assessing publication (43%) and outcome reporting (17%) bias in health services and delivery research systematic reviews. The prevalence was lower among reviews of associations than among reviews of interventions. The case studies in work package 3 highlighted limitations in current methods for detecting these biases due to heterogeneity and potential confounders. Follow-up of health services and delivery research cohorts in work package 4 showed positive association between publication status and having statistically significant or positive findings. Diverse views concerning publication and related bias and insights into how features of health services and delivery research might influence its occurrence were uncovered through the interviews with health services and delivery research stakeholders and focus group discussion conducted in work package 5.
Conclusions:
This study provided prima facie evidence on publication and related bias in quantitative health services and delivery research. This bias does appear to exist, but its prevalence and impact may vary depending on study characteristics, such as study design, and motivation for conducting the evaluation. Emphasis on methodological novelty and focus beyond summative assessments may mitigate/lessen the risk of such bias in health services and delivery research. Methodological and epistemological diversity in health services and delivery research and changing landscape in research publication need to be considered when interpreting the evidence. Collection of further empirical evidence and exploration of optimal health services and delivery research practice are required.
Study registration:
This study is registered as PROSPERO CRD42016052333 and CRD42016052366.
Funding:
This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 33. See the NIHR Journals Library website for further project information.
Contents
- Plain English summary
- Scientific summary
- Chapter 1. Background
- Chapter 2. Overview of methods
- Scope
- Methods for assessing publication and related bias
- Work package 1: a systematic review of empirical evidence on publication bias in HSDR
- Work package 2: overview of current practice and findings associated with publication and related bias in systematic reviews of intervention and association studies in HSDR
- Work package 3: case studies to explore the applicability of methods for detecting and dealing with publication and related bias
- Work package 4: follow-up of publication status of cohorts of health services research studies
- Work package 5: semistructured interviews and a focus group discussion with health services researchers, journal editors and other stakeholders
- Patient and public involvement
- Deviations from the original protocol
- Chapter 3. Findings of systematic review of empirical evidence on publication and related bias in HSDR
- Chapter 4. Overview of systematic reviews of intervention and association studies in HSDR
- Chapter 5. In-depth case studies on the applicability of methods for detecting and mitigating publication and related biases in HSDR
- Case study 1: association between weekend/weekday admissions and hospital mortality (Chen et al.
- Case study 2: relationships between organisational culture, organisational climate and nurse work outcomes (Fang
- Case study 3: the effect of electronic prescribing on medication errors and adverse drug events (Ammenwerth et al.
- Case study 4: effects of standardised hand-off protocols on information relay, patient, provider and organisational outcomes (Keebler et al.
- Chapter 6. Follow-up of HSDR study cohorts for investigating publication bias
- Chapter 7. Key informant interviews and focus group discussion to explore publication bias in HSDR
- Is publication bias a problem in HSDR?
- Commissioning and funding of HSDR
- Publication bias in journal decision-making
- Research design and researcher conduct in HSDR
- Distinctive features of HSDR
- Tackling publication bias
- Impact of publication bias in HSDR
- Patient and public views: findings from the focus group
- Chapter 8. Discussion and conclusion
- Work package 1: systematic review of empirical evidence on publication bias in HSDR
- Work package 2: overview of systematic reviews of intervention and association studies in HSDR
- Work package 3: in-depth case studies on the applicability of methods for detecting and mitigating publication and related biases in HSDR
- Work package 4: follow-up of HSDR study cohorts for investigating publication bias in HSDR
- Work package 5: key informant interviews and focus group discussion to explore publication bias in HSDR
- Overall learning from the project and study limitations
- Publication and related bias in other cognate fields
- Points for consideration by stakeholders in relation to publication and related bias in HSDR
- Recommendations for future research
- Conclusion
- Acknowledgements
- References
- Appendix 1. Search strategies for work package 1
- Appendix 2. Invitation letter for potential interview participants for work package 5
- Appendix 3. Participant information leaflet for interviews in work package 5
- Appendix 4. Consent form for interviewees for work package 5
- Appendix 5. Interview schedule for work package 5
- Appendix 6. Methods used to investigate publication bias and outcome reporting bias in HSDR systematic reviews identified in work package 1
- Appendix 7. Key findings for the systematic review described in Chapter 5, case study 3
- Glossary
- List of abbreviations
About the Series
Article history
The research reported in this issue of the journal was funded by the HS&DR programme or one of its preceding programmes as project number 15/71/06. The contractual start date was in January 2017. The final report began editorial review in July 2019 and was accepted for publication in November 2019. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HS&DR editors and production house have tried to ensure the accuracy of the authors’ report and would like to thank the reviewers for their constructive comments on the final report document. However, they do not accept liability for damages or losses arising from material published in this report.
Declared competing interests of authors
Iestyn Williams was a member of the Health Services and Delivery Research Prioritisation Committee (Commissioned) (2015–19). Magdalena Skrybant and Richard J Lilford are also supported by the National Institute for Health Research Applied Research Collaboration West Midlands.
Last reviewed: July 2019; Accepted: November 2019.
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