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Record W320344990

Regulatory paradox: A review of enforcement letters issued by the office for human research protection

2007· review· en· W320344990 on OpenAlexaboutno aff
Scott Burris, Jen Welsh

Bibliographic record

VenueDigitalGeorgetown (Georgetown University Library) · 2007
Typereview
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsLawDeliberationAgency (philosophy)BioethicsPolitical scienceCommon RuleBeneficenceCommissionSanctionsAutonomyEngineering ethicsSociologyInformed consentMedicinePolitics
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Writing in 2001, the National Bioethics Advisory Commission (NBAC) complained that Institutional Review Boards (IRBs) were overwhelmed not only by high workloads and limited resources but also by regulatory system that often distracts from rather than focuses on key ethical issues.1 NBAC blamed emphasis by regulators on for contributing to atmosphere in which of research becomes an exercise in avoiding sanctions and liability rather than in maintaining appropriate ethical standards and protecting human participants.2 The procedure-prone regulator of greatest concern to NBAC was the federal Office for Human Research Protection (OHRP). OHRP is the primary government agency responsible for enforcing the federal human subject protection regulations, known as the Common Rule,3 at the nearly 10,000 federally funded institutions in the country.4 NBAC judged that OHRP 's focus on paper evidence of procedural compliance was frustrating IRBs and researchers trying to focus on ethical principles.5 IRBs might properly review research in accordance with an appropriate focus on ethical behavior, but nonetheless run into trouble at OHRP, where are ultimately held responsible primarily for procedure and documentation.6 NBAC identified the fundamental challenge for a system of protecting human subjects that embeds reflection on ethical principles in a set of mandated regulatory procedures. The logic of philosophical ethics is opentextured deliberation about how general principles illuminate unique cases, conducted with an appreciation of ambiguity and the value of differing viewpoints. The logic of hierarchical regulation is rigorous compliance with general rules, carefully and uniformly documented, with serious sanctions for non-compliance. The two logics could conceivably coexist with some degree of coherence in some situations. In the case of the human subject protection system, however, observers have persistently noted a tendency towards formal bureaucratic enforcement and compliance largely unrelated and possibly detrimental to ethical behavior.7 IRBs are required, on behalf of universities and other research institutions, to ensure that research on human subjects comports with indeterminate standards of beneficence, justice, and autonomy, a task which in turn requires IRBs to make fine judgments about small or unknown risks and benefits. Because the quality of an IRB 's deliberations, let alone the accuracy of its ethical decisions, cannot readily be verified, institutional compliance with federal regulations is measured almost entirely by of records and consent forms. The metric, in turn, drives the compliance priorities of the regulated institutions. In this Article, we examine OHRP 's enforcement activities since the NBAC report. Part I describes OHRP' s work and the methods we used to study it. In Part II, we present our results, which show that OHRP continues to promote ethics by requiring paperwork in just the way NBAC decried. The discussion (Part III) explains why it is too easy to blame the agency, which in many ways seems to be performing in model regulatory fashion. The heart of the problem is the paradoxical scheme of embedding virtue in federal regulations, and then constructing an enforcement system that purports to encourage reflection and deliberation but must in practice enforce procedural diligence and paperwork. The OHRP 's regulatory impact is just one of many issues roiling the enterprise of human research subject protection. In 1966, the New England Journal of Medicine published Henry Beecher's damning catalogue of human research subject abuses in medical research, which galvanized the movement to regulate research with human subjects.8 In 2004, it published Tu and his colleagues' account of a failed effort to create a national stroke registry in Canada, a failure they attributed to the requirement that each person included in the registry give informed consent. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.081
metaresearch head score (Gemma)0.309
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0810.309
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0150.017
Science and technology studies0.0070.011
Scholarly communication0.0140.010
Open science0.0060.004
Research integrity0.0250.020
Insufficient payload (model declined to judge)0.0070.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.470
GPT teacher head0.519
Teacher spread0.049 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainEvaluation
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2007
Admission routes1
Has abstractyes

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