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Record W2126074756 · doi:10.1093/phe/phq029

A Commentary on Jaffe and Hope's Proposed Ethical Framework

2010· article· en· W2126074756 on OpenAlexaff
Jerome Amir Singh

Bibliographic record

VenuePublic Health Ethics · 2010
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsCentre for Global Health ResearchUniversity Health NetworkUniversity of Toronto
FundersNational Institute of Allergy and Infectious DiseasesBill and Melinda Gates Foundation
KeywordsPsychological interventionPublic healthHarmContext (archaeology)Public health interventionsPopulationMedicinePublic relationsSociologyCriminologyPolitical scienceLawPsychologyEnvironmental healthNursing

Abstract

fetched live from OpenAlex

Jaffe and Hope provide an insightful analysis of the ethics implicit in public health interventions. According to them, public health interventions are traditionally divided into two categories: (i) interventions that are beneficial to the recipients [and wider society] (for example, vaccinations); and (ii) interventions that are required to prevent such serious harm to the general population that coercive measures by the state is justified and regulated through public health law (for example, isolation and quarantine). Using the proposed provision of anti-retroviral treatment to all HIV-infected individuals, regardless of the degree of their immune suppression, as proposed by Granich et al. (2009), as an example, Jaffe and Hope argue that such a measure constitutes a third category of public health interventions (hereinafter referred to as ‘category 3′ public health interventions) as they are neither unequivocally in the best interests of the recipients nor given within a clear legal framework designed for imposing restrictions on individuals who are a danger to public health. In addressing the issue of whether there are any widely accepted ethical models within medicine that allow some people to be given an intervention that, on balance, risks more harm than good for the sake of benefit to others (i.e., category 3 measures), Jaffe and Hope argue that ‘the ethical framework and standards that have been, and continue to be, developed in the context of medical research provide a useful model for public health’, and base their proposed ethical framework, thereon. In their view, category 3 public health interventions can ethically proceed if they meet six “necessary conditions”. While Jaffe and Hope’s proposed framework is a welcome addition to the relatively nascent field of public health ethics, it is not clear why they omitted alluding to, and appraising the appropriateness of, pioneering public health ethics frameworks, such as those proposed in the last decade by Kass (2001), Childress et al (2002), Upshur (2002), and Gostin (2003), in relation to category 3 public health interventions / measures. Although they cite Gostin’s 2002 seminal work on public health law, their inexplicable omission to discuss existing public health ethics frameworks gives the impression that Jaffe and Hope are either unaware of the existence of such proposed frameworks (which seems unlikely), or that they believe that such frameworks are inappropriate evaluative models for category 3 public health measures. The latter would be puzzling given the apparent similarities between all the proposed frameworks, to date, theirs included. If they believe the latter is applicable, the onus was/is on Jaffe and Hope to adduce relevant arguments to justify why this is so. Otherwise they risk seemingly reinventing the wheel. While there are distinct differences between Jaffe and Hope’s framework and those that preceded it (for example, none of the earlier public health ethics frameworks regards an informed consent process as a necessary condition to implementing a public health measure), there are striking similarities too. For example, Jaffe and Hope’s third necessary condition (the public health benefit cannot be produced by an alternative means that is ethically preferable) is akin to Childress et al.’s Least Infringement principle, Kass’ Burden Minimisation / Alternative Approaches principle, and Upshur’s Least Restrictive or Coercive Means principle. Similarly, Jaffe and Hope’s fourth proposed necessary condition (the public health benefit is such as to justify the risk of harm to participants) is akin to Childress et al’s Necessity principle, Kass and Gostin’s respective Effectiveness principles, and Upshur’s Harm principle. Likewise, Jaffe and Hope’s sixth necessary condition (the public health measure is scrutinized by some properly constituted and appropriate independent body) is akin to Childress et al’s Public Justification principle, Kass’ notion of procedural justice outlined in her principle of fair balancing of burdens and benefits, and similar in sentiment to Upshur’s Transparency principle (although all three latter frameworks also differ in that they do not make reference to Norm Daniel’s Accountability for Reasonableness model). Given these overall similarities, it is not clear if / how Jaffe and Hope’s proposed “necessary conditions” differ, or are meant to differ, from the proposed “principles” enunciated in proposed frameworks of Kass, Childress et al, Upshur, and Gostin. Arguing that there is a distinction between a “necessary condition” and a “principle” is unsustainable as the latter could easily be phrased as a “necessary condition”. For example, Upshur’s proposed public health ethics framework posits the principle of Reciprocity (which has no parallel in Jaffe and Hope’s model, although it would be very useful if incorporated). Rebranded as a “necessary condition” could see the principle of Reciprocity phrased as follows: “Those affected by a proposed intervention/measure should be adequately compensated and/or offered viable alternative interventions of equal or superior efficacy, if such alternate interventions exist”. Using Granich et al’s HIV treatment proposal as an example, the principle of Reciprocity would require public health authorities to prospectively put in place mechanisms that ensure that recipients who have adverse reaction to first-line ARVS are immediately switched to second-line therapies, at state expense. Furthermore, those who experience severe adverse reactions as a result of their treatment regimen must be fairly compensated. While Jaffe and Hope’s proposed framework is a valuable addition to current literature on public health ethics, it would be helpful to see a follow-up manuscript from them wherein they reconcile or distinguish their proposed public health ethics framework with/from those that have preceded it. This will strengthen not just their proposed framework, but also the field of public health ethics. This manuscript was possible because of the support the author receives through a grant from the Bill & Melinda Gates Foundation via its Grand Challenges in Global Health Initiative. The author is also supported by the Centre for the AIDS Programme of Research in South Africa (CAPRISA), which forms part of the Comprehensive International Program on AIDS, funded by the US National Institute of Allergy and Infectious Diseases. None declared.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
grokno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
opusno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.070
metaresearch head score (Gemma)0.190
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.114
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0700.190
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0020.002
Science and technology studies0.0150.048
Scholarly communication0.0160.019
Open science0.0100.009
Research integrity0.1140.116
Insufficient payload (model declined to judge)0.0050.002

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 head0.217
GPT teacher head0.562
Teacher spread0.345 · 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

Labeled directly by 3 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations3
Published2010
Admission routes1
Has abstractyes

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