Evidence map›Paper›PMID 32303100›Full record

ArticleYearbook of medical informatics2020

Challenges and Best Practices in Ethical Review of Human and Organizational Factors Studies in Health Technology: a Synthesis of Testimonies.

Linda W Peute, Valentina Lichtner, Melissa T Baysari, Maria Hägglund, Juell Homco, Stephanie Jansen-Kosterink, Ignacio Jauregui, Johanna Kaipio, Craig E Kuziemsky, Elin Christina Lehnbom and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Yearbook of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Ethical clearance paper as a bottleneck.The Pan African medical journal · 2024
    Article
  3. Article
  4. Article
  5. Article
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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

23 authors at 13 institutions in 10 countries.

Linda W PeuteCentre for Human Factor Engineering of Health Information technology - Amsterdam UMC, University of Amsterdam, department of Medical Informatics, Amsterdam, The Netherlands.
Valentina LichtnerCentre for Medication Safety and Service Quality, UCL School of Pharmacy, UK.
Melissa T BaysariThe University of Sydney, Faculty of Medicine and Health, Sydney, Australia.
Maria HägglundBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Juell HomcoDepartment of Medical Informatics, University of Oklahoma - Tulsa School of Community Medicine, USA.
Stephanie Jansen-KosterinkRoessingh Research and Development, eHealth group, Enschede, The Netherlands.
Ignacio JaureguiHealth Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Johanna KaipioDepartment of Computer Science, Aalto University, Finland.
Craig E KuziemskyMacEwan University, Edmonton, AB, Canada.
Elin Christina LehnbomDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, Norway; Department of Health and Caring Sciences, Faculty of Health and Life Sciences, Linnaeus University, Sweden.
Francisca LeiteHospital da Luz Learning Health, Portugal.
Blake LesselrothDepartment of Medical Informatics, University of Oklahoma - Tulsa School of Community Medicine, USA.
Daniel LunaHealth Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Carlos OteroHealth Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Rune PedersenNorwegian Centre for E-health Research, University Hospital of North Norway HF, Norway; Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Norway.
Sylvia PelayoUniv. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, INSERM-CIC-IT 1403/Evalab, Lille, France.
Raquel SantosHospital da Luz Learning Health, Portugal.
Nuno-André SilvaHospital da Luz Learning Health, Portugal.
Mari TyllinenDepartment of Computer Science, Aalto University, Finland.
Lex Van VelsenRoessingh Research and Development, eHealth group, Enschede, The Netherlands.
Wu Yi ZhengThe University of Sydney, Faculty of Medicine and Health, Sydney, Australia.
Monique JaspersCentre for Human Factor Engineering of Health Information technology - Amsterdam UMC, University of Amsterdam, department of Medical Informatics, Amsterdam, The Netherlands.
Romaric MarcillyUniv. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, INSERM-CIC-IT 1403/Evalab, Lille, France.
Hospital da Luz · PTHospital Italiano de Buenos Aires · ARAalto University · FIRoessingh Research and Development · NLUniversity of Amsterdam · NLUniversity of Oklahoma · USUniversity of Sydney · AUEvaluation des technologies de santé et des pratiques médicalesInserm · FRMacEwan University · CAUiT The Arctic University of Norway · NOUniversity Hospital of North Norway · NOUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHuman and Organizational Factors (HOF) studies in health technology involve human beings and thus require Institutional Review Board (IRB) approval. Yet HOF studies have specific constraints and methods that may not fit standard regulations and IRB practices. Gaining IRB approval may pose difficulties for HOF researchers. This paper aims to provide a first overview of HOF study challenges to get IRB review by exploring differences and best practices across different countries.

methodsHOF researchers were contacted by email to provide a testimony about their experience with IRB review and approval. Testimonies were thematically analyzed and synthesized to identify and discuss shared themes.

resultsResearchers from seven European countries, Argentina, Canada, Australia, and the United States answered the call. Four themes emerged that indicate shared challenges in legislation, IRB inefficiencies and inconsistencies, general regulation and costs, and lack of HOF study knowledge by IRB members. We propose a model for IRB review of HOF studies based on best practices.

conclusionInternational criteria are needed that define low and high-risk HOF studies, to allow identification of studies that can undergo an expedited (or exempted) process from those that need full IRB review. Enhancing IRB processes in such a way would be beneficial to the conduct of HOF studies. Greater knowledge and promotion of HOF methods and evidence-based HOF study designs may support the evolving discipline. Based on these insights, training and guidance to IRB members may be developed to support them in ensuring that appropriate ethical issues for HOF studies are considered.

Indexed as

Biomedical TechnologyEthical ReviewEthics Committees, ResearchHumansInternationalityPublic Policy

Identifiers

PMID32303100
PMCPMC7442520
OpenAlexW3016902346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.