Evidence map›Paper›PMID 32013573›Full record

ArticleJournal of health services research & policy2020

Stakeholder views on publication bias in health services research.

Iestyn Williams, Abimbola A Ayorinde, Russell Mannion, Magdalena Skrybant, Fujian Song, Richard J Lilford, Yen-Fu Chen

Abstract read
In one paragraph

Article in Journal of health services research & policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Iestyn WilliamsReader in Health Policy and Management and Director of Research, Health Services Management Centre, University of Birmingham, UK.ORCID 0000-0002-9462-9488
Abimbola A AyorindeResearch Fellow, Warwick Centre for Applied Health Research and Delivery, University of Warwick, UK.
Russell MannionProfessor of Health Systems, Health Services Management Centre, University of Birmingham, UK.
Magdalena SkrybantPatient and Public Involvement and Engagement Lead, Institute of Applied Health Research, University of Birmingham, UK.
Fujian SongProfessor in Research Synthesis, Department of Population Health and Primary Care, University of East Anglia, UK.
Richard J LilfordProfessor of Public Health, Warwick Centre for Applied Health Research and Delivery, University of Warwick, UK.
Yen-Fu ChenAssociate Professor, Warwick Centre for Applied Health Research and Delivery, University of Warwick, UK.

Funding

Department of Health HS&DR/15/71/06
6 · The paper itself

Abstract

objectivesWhile the presence of publication bias in clinical research is well documented, little is known about its role in the reporting of health services research. This paper explores stakeholder perceptions and experiences with regard to the role of publication and related biases in quantitative research relating to the quality, accessibility and organization of health services.

methodsWe present findings from semi-structured interviews with those responsible for the funding, publishing and/or conduct of quantitative health services research, primarily in the UK. Additional data collection includes interviews with health care decision makers as 'end users' of health services research, and a focus group with patient and service user representatives. The final sample comprised 24 interviews and eight focus group participants.

resultsMany study participants felt unable to say with any degree of certainty whether publication bias represents a significant problem in quantitative health services research. Participants drew broad contrasts between externally funded and peer reviewed research on the one hand, and end user funded quality improvement projects on the other, with the latter perceived as more vulnerable to selective publication and author over-claiming. Multiple study objectives, and a general acceptance of 'mess and noise' in the data and its interpretation was seen to reduce the importance attached to replicable estimates of effect sizes in health services research. The relative absence of external scrutiny, either from manufacturers of interventions or health system decision makers, added to this general sense of 'low stakes' of health services research. As a result, while many participants advocated study pre-registration and using protocols to pre-identify outcomes, others saw this as an unwarranted imposition.

conclusionsThis study finds that incentives towards publication and related bias are likely to be present, but not to the same degree as in clinical research. In health services research, these were seen as being offset by other forms of 'novelty' bias in the reporting and publishing of research findings.

Indexed as

Publication BiasFemaleHealth Services ResearchHumansInterviews as TopicMalePerceptionStakeholder Participationhealth services researchpublication biasqualitative interviews

Identifiers

PMID32013573
PMCPMC7307418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.