MétaCan
Menu
Back to cohort
Record W4239411639 · doi:10.30770/2572-1852-92.3.4

Just Culture

2006· article· en· W4239411639 on OpenAlexaffabout
Trevor Theman

Bibliographic record

VenueJournal of Medical Regulation · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsCollege of Physicians and Surgeons of Ontario
Fundersnot available
KeywordsBlameHarmValue (mathematics)Health careOrganizational culturePunishment (psychology)PsychologyMedicineMistakeWaiverPublic relationsSocial psychologyLawPolitical science

Abstract

fetched live from OpenAlex

When patients suffer harm arising from their caregiver it is common that patients or family members will demand that we, the regulators, sanction the caregiver. That desire to assign blame and seek punishment is very strong, especially when it appears that the caregiver has made an error or directly caused the harm.In the spring of 2004 two patients died in Calgary, Alberta, from hyperkalemia as a result of the incorrect mixing of dialysate solution. The Calgary Health Region, the entity responsible for the provision of hospital care, responded promptly, disclosing the facts about these cases to the two families, conducted a critical incident review and sought an independent external review. Among its recommendations, the external reviewers made reference to the “just culture” and wrote: “In a just culture, workers can differentiate what is acceptable and unacceptable behavior. A just culture recognizes that in most cases punishing staff for errors does nothing to help ensure that the next employee in a similar situation will not make the same error. At the same time a just culture does not accept negligence, willful violations of rules and standards or substance abuse on the job. Healthcare workers expect management to act when it is warranted and may even feel more vulnerable when unacceptable behavior is not penalized.”Their report included the recommendations to incorporate patient safety as a core value and guiding principle and to create a clear policy on the consequences of reporting of errors (i.e., reporting will not have a negative impact on the individual’s performance appraisal and will not lead to disciplinary action).As regulators we become the interface between the public and the health care system when we are asked to investigate a complaint where a patient has suffered harm. In protecting the public we have a duty to ensure that unsafe, incompetent or impaired physicians are prevented from injuring patients – by limiting their practices, removing them from practice or ensuring they receive treatment or remediation. We also have a responsibility to understand patient safety principles, to acknowledge that harm to a patient is seldom a result of a single act by an unsafe practitioner. More often it is the result of a series of errors (Reason’s “Swiss cheese” model) and reflects underlying vulnerabilities in our systems of care.Accepting that the majority of medical errors resulting in harm are a result of system problems (rather than individual fallibility) is, as Lucian Leape says, a “transforming concept” and obliges us to move from the traditional name and blame approach to a learning organization approach – trying to understand how the event occurred rather than by trying to identify a perpetrator.The concept of a “just culture” offers us a touchstone for our work: Punishing a practitioner for harming a patient is unlikely to uncover the defects in the system that lead to the event and will not prevent recurrence; punishment as an approach is likely only to cover up errors and system vulnerabilities and discourage reporting of close calls and events that do lead to harm; and punishment reinforces the outdated view that the cause of patient harm is imperfect individuals, rather than unsafe systems of care. I think we all accept that very few practitioners go to work with the intention of harming patients.However, there are some acts and behaviors that are willful, egregious and unsafe, and for which visible and measured action must be taken. Impaired and unwell physicians should receive treatment and, once recovered, require monitoring of their health and their practice. Physicians who deliberately break rules – such as boundary violators – should receive appropriate sanctions for their actions.From my perspective as a regulator, the “just culture” concept helps define the intersection of medical regulation and health care safety principles and offers us – and the public we serve – a rationale for our approach to medical error and patient harm. We cannot tolerate deliberately unsafe violations and breaches of ethical principles or standards of practice, and at the same time we must understand the system in which our members work if we are to fairly adjudicate on the conduct of physicians when patients suffer harm. To do otherwise would not only be unfair to physicians and other health care providers, but would impede the work that continues to make our systems of care safer.

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)0.013
metaresearch head score (Gemma)0.040
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: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.040
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0130.016
Scholarly communication0.0190.016
Open science0.0030.016
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0370.018

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 head0.021
GPT teacher head0.376
Teacher spread0.354 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Medical RegulationSame topicReligious Education and SchoolsFrench-language works237,207