ArticleJournal of medical ethics2014
How US institutional review boards decide when researchers need to translate studies.
Article in Journal of medical ethics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Article
- Lessons learned while starting multi-institutional genetics research in diverse populations: A report from the Clinical Sequencing Evidence-Generating Research (CSER) consortium.Contemporary clinical trials · 2023Article
- Standards of evidence for institutional review board decision-making.Accountability in research · 2021Article
- Evaluating the frequency of English language requirements in clinical trial eligibility criteria: A systematic analysis using ClinicalTrials.gov.PLoS medicine · 2021Article
- Increasing diversity in research through dedicated language access services.Contemporary clinical trials · 2021Article
- Research approvals iceberg: how a 'low-key' study in England needed 89 professionals to approve it and how we can do better.BMC medical ethics · 2019Article
- Is 'informed consent' an 'understood consent' in hematopoietic cell transplantation?Bone marrow transplantation · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Informed consent is crucial in research, but potential participants may not all speak the same language, posing questions that have not been examined concerning decisions by institutional review boards (IRBs) and research ethics committees' (RECs) about the need for researchers to translate consent forms and other study materials. Sixty US IRBs (every fourth one in the list of the top 240 institutions by The National Institutes of Health funding) were contacted, and leaders (eg, chairs) from 34 (response rate=57%) and an additional 12 members and administrators were interviewed. IRBs face a range of problems about translation of informed consent documents, questionnaires and manuals-what, when and how to translate (eg, for how many or what proportion of potential subjects), why to do so and how to decide. Difficulties can arise about translation of specific words and of broader cultural concepts regarding processes of informed consent and research, especially in the developing world. In these decisions, IRBs weigh the need for autonomy (through informed consent) and justice (to ensure fair distribution of benefits and burdens of research) against practical concerns about costs to researchers. At times IRBs may have to compromise between these competing goals. These data, the first to examine when and how IRBs/RECs require researchers to translate materials, thus highlight a range of problems with which these committees struggle, suggesting a need for further normative and empirical investigation of these domains, and consideration of guidelines to help IRBs deal with these tensions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.