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Record W2012717031 · doi:10.1108/09526860410532757

Accreditation: a tool for organizational change in hospitals?

2004· article· en· W2012717031 on OpenAlexaff
Marie‐Pascale Pomey, André‐Pierre Contandriopoulos, Patrice François, Dominique Bertrand

Bibliographic record

VenueInternational Journal of Health Care Quality Assurance · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsAccreditationHospital accreditationMedical educationModalitiesUniversity hospitalOrganizational changeMedicineQualitative researchCertification and AccreditationNursingFamily medicinePublic relationsPolitical scienceSociology

Abstract

fetched live from OpenAlex

Examines the dynamics of change that operated following preparations for accreditation. The study was conducted from May 1995 to October 2001 in a university hospital center in France after the introduction in 1996 of mandatory accreditation. An embedded explanatory case study sought to explore the organizational changes: a theoretical framework for analyzing change was developed; semi-structured interviews, focus groups, and questionnaires addressed to the hospital's professionals were used and documents were collected; and qualitative and quantitative analyses were carried out. Professionals from clinical and medico-technical departments participated most. Preparations for accreditation provided an opportunity to reflect non-hierarchically on the treatment of patients and on the hospital's operational modalities by creating a locus for exchanges and collegial decision making. These preparations also led to giving greater consideration to results of exit surveys and to committing procedures to paper, and were a key opportunity for introducing a continuous quality program.

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)0.036
metaresearch head score (Gemma)0.078
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: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.078
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.007
Science and technology studies0.0040.008
Scholarly communication0.0100.019
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.103
GPT teacher head0.519
Teacher spread0.416 · 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

Citations160
Published2004
Admission routes1
Has abstractyes

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