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Enregistrement W126029150

Informing Governance through Evidence-Based Research on REBs: Challenges and Opportunities

2009· article· en· W126029150 sur OpenAlexaboutno aff
Michael Owen, Claudia Emerson, Pam Kolopack, Nina Preto, Heather Sampson, Anne Townsend, Donald J. Willison, Roberta L. Woodgate

Notice bibliographique

RevueDigitalGeorgetown (Georgetown University Library) · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCorporate governanceScholarshipBureaucracyPublic relationsEmpirical researchPolitical scienceEmpirical evidenceEngineering ethicsValue (mathematics)AccreditationResearch ethicsPsychologyLawBusinessEpistemologyComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In 2004, Joan Sieber made a passionate call for that would inform our understanding of the workings of Institutional Review Boards (IRBs) or Research Ethics Boards (REBs). Although there is a rich scholarship on the ethical conduct of involving human subjects, she argued, decision making by scientists and institutional review boards should not be based on hunches and anecdotes. These questions should be answered through empirical (1) More recently, in a study of IRBs and their knowledge of regulations governing pediatric research, Strousytup et al argued that IRBs to open up and allow themselves to be looked at. ... (2) Michael McDonald claimed an urgent need for well-grounded on the tensions between having standards of performance, monitoring, accreditation and processes that are sensitive to the needs, concerns and rights of subjects and that stimulate and facilitate research. For too long ..., these fundamental questions have been debated in an a priori manner or simply by resort to anecdotal evidence. (3) Scholars question whether REBs create bureaucratic impediments to the conduct of high quality and innovative research, provide researchers with value--added service and advice that might enhance the protection of participants or ensure that participants are better informed of the risks, harms, and benefits for themselves, for others and for science. (4) These sorts of questions are the kind that could and should be addressed through empirical work. At a July 2008 retreat of Canadian Network for the Governance of Ethical Health Research Involving Humans, we sought to refine the empirical agenda identified by Sieber (5) and others. (6) In our discussions we identified many ways in which scholars have turned their attention to the role of REBs within the enterprise and ways in which REBs themselves are engaging in quality improvement assessments as well as action (7) on their practices and impacts on the researchers and organizations that they serve. In this paper, we consider some of the challenges to studying REBs and address briefly five areas of interest to the Network members. These areas of interest are not intended to provide a comprehensive overview of the issues affecting the conduct of on REBs and their processes. (8) By considering these issues, we hope to add some insights on the challenges of conducting on REBs and urge others to empirically test our assumptions and those of others, with a view to developing robust evidence-based that will inform and improve the ways in which REBs and ethics administration are governed. We have not, for example, addressed the structure and functions of REBs in developing countries (9) or the challenges faced by Canadian REBs in assessing studies being conducted in developing countries. Nor have we considered the issue of quality assurance studies, which legitimately may be conducted by a REB or its governing organization. Other forms of evaluation, such as site visits by the National Council on Ethics in Human Research [NCEHR] or audits conducted by accreditation agencies such as the Association for Accreditation of Human Research Ethics Programs, Inc. [AAHRPP] or regulatory agencies such as Health Canada are also excluded from our consideration. The contributions of these forms of assessment to the literature on the governance of REBs are, potentially, significant and could be the topic of further research. Much of the scholarly and applied in which REBs are the research subject can be summarized as follows: * assessments of the validity of anecdotal reports about the length of time it takes REBs to review protocols; (10) * identifying ways to improve the quality of service to the community; (11) * evaluations of whether the REB process actually protects human participants through the interpretation of national policies and regulations; (12) * assessments and the identification of the educational and professional development needs of REB chairs, members, researchers as well as administrative support staff and how such educational programs have improved the quality of the REB processes and the conduct of research; (13) * variability across ethics boards and evaluations of the decision-making processes of ethics boards; (14) * examinations of the ways in which REB members apply ethical judgment on protocols such as the proportional assessment of risks and harms; (15) * evaluations of the impact of the REB processes on researchers and the conduct of research, (16) and, more recently; * evaluations of the impact of accreditation on the governance of REBs. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,562
score de la tête « metaresearch » (Gemma)0,522
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,438
Score d'incertitude au seuil0,540

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,5620,522
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0050,003
Bibliométrie0,0140,013
Études des sciences et des technologies0,0130,098
Communication savante0,0490,093
Science ouverte0,0130,035
Intégrité de la recherche0,0350,049
Charge utile insuffisante (le modèle a refusé de juger)0,0100,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,706
Tête enseignante GPT0,466
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
DomaineMéthodes
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2009
Routes d'admission1
Résumé présentoui

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