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Record W4319825925

Regulation in Need of Therapy? Analysis of Regulatory Decisions Relating to Impaired Doctors from 2010 to 2020.

2022· article· en· W4319825925 on OpenAlexaffabout
Owen Bradfield, Matthew J. Spittal, Marie Bismark

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsHarmSanctionsPublic healthRehabilitationMedicineDeterrence (psychology)PopulationAnxietyPsychiatryCriminologyPsychologyNursingPolitical scienceEnvironmental healthLawSocial psychologyPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

Doctors' mental wellbeing is a critical public health issue. Rates of depression, anxiety, and substance use are higher than in the general population. Regulating unwell doctors who pose a public risk is challenging, yet there is little research into how medical regulators balance the need to protect the public from harm against the benefits of supporting and rehabilitating the unwell doctor. We analysed judgments from Australia, New Zealand, Ireland, United Kingdom, Ontario, and Singapore between 2010 and 2020 relating to impaired doctors. We found similarities in how decision-makers conceptualise impairment, how they disentangle impairment from associated conduct or performance complaints, and how regulatory principles and sanctions are applied. However, compared to other jurisdictions, Australian courts and tribunals tended to prioritise deterrence above the rehabilitation of the impaired doctor. Supporting impaired doctors' recovery, when appropriate, is critical to public protection and patient safety.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.088
GPT teacher head0.384
Teacher spread0.296 · 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 designObservational
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

Citations2
Published2022
Admission routes2
Has abstractyes

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