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Record W2962915015

10 years after Cameron: have we made gains in improving disclosure practices in Newfoundland and Labrador?

2018· article· en· W2962915015 on OpenAlexaffabout
Julia Trahey, Heidi Coombs

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsGeography
DOInot available

Abstract

fetched live from OpenAlex

Purpose:On 3 July 2007, the Government of Newfoundland and Labrador established the Commission of Inquiry on Hormone Receptor Testing with the Honourable Margaret A. Cameron as Commissioner.The Cameron Inquiry exposed a systems failure in which hundreds of mistakes with hormone receptor tests were made, but the health authority had no crisis management plan and failed to communicate effectively with patients, the public, or government.Significant improvements have been made since the Cameron Inquiry.Cameron recommended training in disclosure for health professionals and the regional health authorities invested in such training opportunities.However, disclosing an adverse event to a patient or patient's family remains one of the most difficult professional tasks that physicians perform.Physicians do not have enough training or practice in having these difficult conversations, and therefore are often not confident with their communication skills.This lack of training and confidence are significant barriers to respectful and effective disclosure.In addition, many disclosures occur without guidance from an organizational expert, such as a representative from Quality and Risk Management (QRM).This project explores current disclosure process from the perspectives of the multiple players involved, including QRM personnel, practicing physicians, and physicians in leadership positions, as well as the potential role of trainees in disclosure processes.Methods: This research project involved a cross-sectional survey and two focus groups (one with QRM personnel and one with physicians in leadership).Questions focused on the barriers and facilitators of disclosure, the process of disclosure, the quality of disclosure discussions, and knowledge of regulatory guidelines and resources.The survey was sent to approximately 15 QRM personnel and 1260 physicians throughout Newfoundland and Labrador (NL).The focus groups involved 10 QRM personnel and 12 physicians in leadership.Results: 11 QRM personnel (73.3%) and 165 physicians (13.1%) completed the surveys.For the QRM survey, 0% of respondents reported feeling very comfortable disclosing adverse events and 55.6% reported feeling very uncomfortable, even with their extensive preparation for these conversations (81.8% received orientation on disclosure, 90.9% received formal training, and 100% are aware of regulatory guidelines and regulations).For the physician survey, 11.3% reported feeling very comfortable disclosing adverse events and 8.6% reported feeling very uncomfortable, despite being less prepared for these conversations than QRM personnel (30.9% received orientation about disclosure, 49.4% received formal training, and 49.1% are aware of regulatory guidelines and regulations).In the focus groups, QRM personnel and physician leaders noted improved performance among all staff who have been involved in disclosure discussions.However, there is still a level of discomfort with disclosure among frontline staff.

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)0.011
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.268
Teacher spread0.254 · 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 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".

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Citations0
Published2018
Admission routes2
Has abstractno

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