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Record W176705616

Paying research subjects: historical considerations.

2003· article· en· W176705616 on OpenAlexaff
Leah E Hutt

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRemunerationPaymentApprehensionPolitical scienceLawSociologyPublic relationsPsychologyEconomicsFinance
DOInot available

Abstract

fetched live from OpenAlex

Introduction Paying research subjects money to participate in medical experimentation is not a recent phenomenon. In the late 1800s, for example, Walter Reed paid volunteers in his yellow fever studies $100 in gold for their participation. If they contracted yellow fever, he paid them a $100 bonus. (1) Subjects today continue to be paid, in varying amounts, to participate in research. Despite this practice's lengthy history and ubiquity, no consensus has developed about its ethical propriety. While most regulations and guidelines governing human experimentation permit some sort of monetary remuneration to research subjects, they provide little instruction on evaluating the amount of a payment. The regulations and guidelines reflect the apprehension expressed in the academic literature about the philosophical and practical ramifications of both paying and not paying research subjects. This paper explores the historical development of the debate about paying research subjects. A review of the debate over the last 30 years reveals that payments have mainly been conceived of as a threat to voluntary consent. Further, the issues discussed in the 1970s are largely the same issues being discussed today. I suggest that a preoccupation with voluntary consent may have slowed the progress of the debate and is part of the reason why consensus remains elusive. The importance of achieving some sort of consensus is that it translates into practical and ethical guidance in evaluating the propriety of a given payment. In recent years, there has been a slight shift in emphasis in the discussion such that issues that were historically on the periphery of the payments debate are receiving increased attention. This may signal a turning point in the debate which may lead to practical and ethically sound guidance about how to evaluate payments to research subjects. Prison Experiments The appropriateness of paying research subjects began to be explored in a meaningful way in the context of prison populations. During World War II, American researchers increasingly used prisoners for medical experimentation. The ability of prisoners to freely consent was challenged both during and after the war, (2) especially where rewards were offered. (3) American researchers, however, insisted that all prisoner-subjects freely chose to participate and prison research flourished in the post-war years. (4) This emphasis on voluntariness would dominate the debate about payments for the next 50 years, even after prisoners ceased to be used. After World War II, news of illness and death associated with prison research prompted formal hearings to consider the ethics of certain prison experiments. Rather than focus on the health problems caused by the experiments, excessive reward was often seen as the key ethical concern. In particular, some feared subjects might conceal symptoms rather than risk disqualification from the experiment and the reward. Consequently, the validity of the research results was jeopardized. (5) In the late 1940s, publicity about the terrible side-effects associated with the wartime malaria research conducted in an Illinois prison prompted the Governor of Illinois to form a committee to investigate the ethics of the research. The committee found the research conformed to ethical rules and focussed its attention on the issue of rewards to prisoners. It found a subject's sole motivation ought to be to contribute to human welfare. If that was the motive, then a reduced sentence was a reward, not an undue inducement. The Commission, however, deliberately and explicitly did not consider when a reward is excessive. Rather, it said this should be reviewed on a case-by-case basis. (6) This reluctance to identify when a reward is excessive is a trend which regulatory bodies unfortunately have continued. By the 1960s, the pharmaceutical industry had well-established drug-testing programs in American prisons. …

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.207
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.207
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.796
GPT teacher head0.574
Teacher spread0.221 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations20
Published2003
Admission routes1
Has abstractyes

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