10.6084/M9.FIGSHARE.C.6301479.V1
Hans Lund
Hans
Lund
0000-0001-6847-8324
Western Norway University of Applied Sciences
Karen A. Robinson
Karen A.
Robinson
0000-0003-1021-7820
Johns Hopkins University
Western Norway University of Applied Sciences
Ane Gjerland
Ane
Gjerland
0000-0001-7496-9568
Western Norway University of Applied Sciences
Hanna Nykvist
Hanna
Nykvist
0000-0002-1642-2414
Western Norway University of Applied Sciences
Thea Marie Drachen
Thea Marie
Drachen
0000-0003-4760-5536
University of Southern Denmark
Robin Christensen
Robin
Christensen
0000-0002-6600-0631
Bispebjerg and Frederiksberg Hospital
Odense University Hospital
Carsten Bogh Juhl
Carsten Bogh
Juhl
0000-0001-8456-5364
University of Southern Denmark
Herlev and Gentofte Hospital
Gro Jamtvedt
Gro
Jamtvedt
0000-0001-6013-7429
Monica Nortvedt
Monica
Nortvedt
0000-0002-1859-6071
Western Norway University of Applied Sciences
Merete Bjerrum
Merete
Bjerrum
0000-0001-8249-4021
Aalborg University
Aarhus University
Matt Westmore
Matt
Westmore
0000-0003-3784-0380
Jennifer Yost
Jennifer
Yost
0000-0002-3170-1956
Villanova University
Klara Brunnhuber
Klara
Brunnhuber
0000-0001-6787-4405
RELX Group (United Kingdom)
Meta-research evaluating redundancy and use of systematic reviews when planning new studies in health research: a scoping review
Abstract Background Several studies have documented the production of wasteful research, defined as research of no scientific importance and/or not meeting societal needs. We argue that this redundancy in research may to a large degree be due to the lack of a systematic evaluation of the best available evidence and/or of studies assessing societal needs. Objectives The aim of this scoping review is to (A) identify meta-research studies evaluating if redundancy is present within biomedical research, and if so, assessing the prevalence of such redundancy, and (B) to identify meta-research studies evaluating if researchers had been trying to minimise or avoid redundancy. Eligibility criteria Meta-research studies (empirical studies) were eligible if they evaluated whether redundancy was present and to what degree; whether health researchers referred to all earlier similar studies when justifying and designing a new study and/or when placing new results in the context of earlier similar trials; and whether health researchers systematically and transparently considered end users’ perspectives when justifying and designing a new study. Sources of evidence The initial overall search was conducted in MEDLINE, Embase via Ovid, CINAHL, Web of Science, Social Sciences Citation Index, Arts & Humanities Citation Index, and the Cochrane Methodology Register from inception to June 2015. A 2nd search included MEDLINE and Embase via Ovid and covered January 2015 to 26 May 2021. No publication date or language restrictions were applied. Charting methods Charting methods included description of the included studies, bibliometric mapping, and presentation of possible research gaps in the identified meta-research. Results We identified 69 meta-research studies. Thirty-four (49%) of these evaluated the prevalence of redundancy and 42 (61%) studies evaluated the prevalence of a systematic and transparent use of earlier similar studies when justifying and designing new studies, and/or when placing new results in context, with seven (10%) studies addressing both aspects. Only one (1%) study assessed if the perspectives of end users had been used to inform the justification and design of a new study. Among the included meta-research studies evaluating whether redundancy was present, only two of nine health domains (medical areas) and only two of 10 research topics (different methodological types) were represented. Similarly, among the included meta-research studies evaluating whether researchers had been trying to minimise or avoid redundancy, only one of nine health domains and only one of 10 research topics were represented. Conclusions that relate to the review questions and objectives Even with 69 included meta-research studies, there was a lack of information for most health domains and research topics. However, as most included studies were evaluating across different domains, there is a clear indication of a high prevalence of redundancy and a low prevalence of trying to minimise or avoid redundancy. In addition, only one meta-research study evaluated whether the perspectives of end users were used to inform the justification and design of a new study. Systematic review registration Protocol registered at Open Science Framework: https://osf.io/3rdua/ (15 June 2021).
Medicine
Biotechnology
20199 Astronomical and Space Sciences not elsewhere classified
Cancer
Science Policy
figshare
2022
2022-11-16
2022-11-16
Collection
10.1186/s13643-022-02096-y
10.6084/m9.figshare.c.6301479
CC BY 4.0