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Record W3213136992 · doi:10.5334/ijic.5658

Does Integrated Care Carry the Gene of Bureaucracy? Lessons from the Case of Québec

2021· article· en· W3213136992 on OpenAlexaffabout
Yves Couturier, Paul Wankah, Maxime Guillette, Louise Belzile

Bibliographic record

VenueInternational Journal of Integrated Care · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsCentre hospitalier de l'Université LavalCentre hospitalier universitaire de QuébecUniversité de Sherbrooke
Fundersnot available
KeywordsBureaucracyContext (archaeology)AppropriationGovernment (linguistics)Health careIntegrated careModernization theoryPublic relationsPolitical scienceBusinessPoliticsEconomic growthEconomics

Abstract

fetched live from OpenAlex

INTRODUCTION: Demographic and epidemiological transitions of industralized countries mean health systems have to integrate health and social services to respond to the changing needs of their populations. Efforts to integrate care involve important policy and structural changes. This paper examines whether integration efforts are lost in translation during the bureaucratic appropriation of models, or, in an allegorical way, do they reveal genes of bureaucracy? DESCRIPTION: Since the 1960s, the health system of Québec has undergone four major structural and progressively integrative transformations, characterized as - modernization, shock of reality, explicit integration, and centralization phases. DISCUSSION: Although integration efforts progressively transformed Québec's health and social services system, embedded bureaucracies impeded the realisation of these projects. Notably, inadequate change management strategies and lack of integrated funding models hindered integration efforts. Furthermore, there was variability in government prioritisation and support of different aspects of the model by making some components happen, helping others happen and letting others happen. CONCLUSION: Drawing insights from bureaucratic obstacles to integration efforts may improve implementation strategies. This paper highlights important policy and administrative challenges that have to be taken into consideration in improving the implementation of integrated care initiatives in a real-life context.

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)0.000
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.419
Teacher spread0.395 · 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 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

Citations7
Published2021
Admission routes2
Has abstractyes

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