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Record W7090467873 · doi:10.5281/zenodo.17342673

Mise en place du Groupement Sanitaire Territorial de Tanger-Tétouan-Al Hoceïma : Une réforme pilote de gouvernance sanitaire régionalisée au Maroc

2025· article· fr· W7090467873 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsnot available
Fundersnot available
KeywordsCentralisationCorporate governanceMulti-level governanceFutures contractContext (archaeology)

Abstract

fetched live from OpenAlex

Résumé Cet article explore la mise en œuvre du Groupement Sanitaire Territorial de Tanger-Tétouan-Al Hoceïma (GST TTA), projet pilote visant à instaurer une gouvernance sanitaire décentralisée au Maroc, conformément au principe de régionalisation avancée (Constitution de 2011, lois 06‑22 et 08‑22). À travers une approche qualitative combinant revue de littérature, analyse documentaire et mobilisation des cadres théoriques du management public, l’étude analyse comment le GST TTA peut surmonter les défis structurels tels que la centralisation historique, les disparités régionales et les contraintes de ressources. En s’inspirant des modèles de décentralisation sanitaire en Espagne, en France et au Canada, l’analyse propose plusieurs conditions de succès : clarification des compétences, renforcement des capacités locales, financement équitable et pilotage participatif. Structuré en trois pôles (gouvernance, administratif, sanitaire) et centré sur le projet médical régional, le GST TTA vise à optimiser la coordination et l’accès aux soins. Quatre principes directeurs sont suggérés : territorialisation adaptée, autonomie renforcée, évaluation collaborative et développement des capacités. Ce projet pilote offre une opportunité d’innovation en vue d’une généralisation nationale, sous réserve d’investissements soutenus dans les ressources humaines, les systèmes d’information et la coordination intersectorielle. Des études empiriques futures seront nécessaires pour évaluer les impacts réels sur l’équité et l’efficacité du système de santé marocain. Mots clés : coordination des soins; décentralisation sanitaire; équité; gouvernance régionale; groupement sanitaire territorial; management public; Maroc. Abstract This article examines the implementation of the Territorial Health Group of Tanger-Tetouan-Al Hoceima (THG TTA), a pilot project aimed at establishing decentralized health governance in Morocco, in line with the principle of advanced regionalization (2011 Constitution, Laws 06‑22 and 08‑22). Using a qualitative approach that combines a literature review, documentary analysis, and the application of public management theoretical frameworks, this study analyzes how the THG TTA can overcome structural challenges such as historical centralization, regional disparities, and resource constraints. Drawing on decentralized healthcare models from Spain, France, and Canada, the analysis identifies key success conditions: clarification of competencies, strengthening of local capacities, equitable financing, and participatory governance. Structured around three poles (governance, administrative, and healthcare) and centered on the Regional Medical Project, the THG TTA seeks to optimize care coordination and access. Four guiding principles are proposed: needs-based territorialization, enhanced autonomy, collaborative evaluation, and capacity building. This pilot project offers an opportunity for innovation toward nationwide implementation, contingent upon sustained investment in human resources, information systems, and intersectoral coordination. Future empirical studies will be necessary to assess its real impact on equity and the efficiency of Morocco’s healthcare system. Keywords care coordination; equity; health decentralization; Morocco; public management; regional governance; territorial healthcare group.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.027
GPT teacher head0.323
Teacher spread0.296 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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