MétaCan
Menu
← Back to cohort

I20 Influencing the national debate on medical assistance in dying (maid): leveraging the canadian paediatric surveillance system (cpsp) to inform the position of the canadian paediatric society (cps)

2018· article· en· W2791457408 on OpenAlexaboutno aff
Charlotte Moore Hepburn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentMedicineMinor (academic)LegislationPalliative carePublic healthFamily medicineAgency (philosophy)PediatricsNursingLawPolitics

Abstract

fetched live from OpenAlex

Department of Paediatrics, University of Toronto, Toronto, Canada Aims In June 2016, Bill C-14 was enacted in the Canadian Parliament, allowing medical assistance in dying (MAID) for consenting adults with ‘grievous and irremediable medical conditions’ experiencing ‘intolerable’ suffering whose deaths are ‘reasonably foreseeable’. Minor patients (both mature and ‘never competent’ minors) are currently excluded from the legislation. An independent review of the issue of minor patients and MAID was requested by Parliament. As health professionals, politicians and the public grappled with this issue, never before formally contemplated in Canada, the Canadian Paediatric Surveillance Program (CPSP) sough to provide data on exploratory conversations and explicit requests for MAID from/for minor patients to inform the independent review. Methods The CPSP is a joint program of the Public Health Agency of Canada and the Canadian Paediatric Society. The program conducts national surveillance into diseases that are high in disability, morbidity and economic costs to society, despite their low frequency. The CPSP surveys over 2500 paediatricians and paediatric subspecialists each month to monitor rare diseases, conditions and complications in Canadian children. A one-time survey was sent to all CPSP participants in May 2016. The survey tool can be accessed at www.cpsp.cps.ca/surveillance. Results The survey response rate was 40%. Over one-third of participants reported they provide end-of-life or palliative care (370; 35%). Exploratory discussions with minor patients about MAID were reported by 35 participants, representing 60 patients, the majority of whom were 14–18 years of age. Nine (9) participants recalled an explicit request for MAID, representing 17 minors. Exploratory discussions with patients about MAID, on behalf of minor patients, were reported by 118 participants, representing 419 minor patients, the majority of whom were under 1 year of age. Forty-five (45) participants recalled an explicit request for MAID, representing 91 parents, the majority of whom had children under 1 year. Conclusion CPSP participants from across Canada reported exploratory conversations about and explicit requests for MAID from both minors and parents. Discussion with and explicit requests from parents outnumber those by minors by more than five to one. This study represents an important and innovative use of a paediatric surveillance system to inform a national conversation on a complex emerging ethical issue.

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)0.053
metaresearch head score (Gemma)0.174
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.174
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0200.011
Scholarly communication0.0130.004
Open science0.0030.008
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0100.001

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 head0.031
GPT teacher head0.313
Teacher spread0.282 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicEthics and Legal Issues in Pediatric Healthcare→French-language works237,207→