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Record W2090991125 · doi:10.5539/gjhs.v7n6p55

Regional Decentralisation in the Greek Health Care System: Rhetoric and Reality

2015· article· en· W2090991125 on OpenAlexvenueno aff
Athanasios Athanasiadis, Stella Kostopoulou, Αnastas Philalithis

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
FundersAristotle University of Thessaloniki
KeywordsDecentralizationBureaucracyOpposition (politics)Public administrationLegislatureRhetoricHealth carePoliticsPolitical scienceCorporate governanceEconomicsLawManagement

Abstract

fetched live from OpenAlex

Decentralisation is a complex, yet basic feature of health care systems in many countries entailing the transfer of authority or dispersal of power in public planning, management and decision making from higher to lower levels of government. This paper describes the attempts made in Greece from 1923 until today to decentralise its highly centralised health care system, drawing on a thorough documentary analysis of legislative acts and official reports regarding regional health policy. The analysis shows that, although decentralisation has been attempted on several occasions, in the end it was abandoned every time. The first ever implementation of a decentralised system of governance in 2001 was also curtailed, resulting in only minor decentralisation of authority and real powers. It is suggested that decentralisation has been impeded by many factors, especially obstruction by opposition from key interest groups, absence of policy continuity between governments, the inability to tackle the bureaucratic and highly centralised system and lack of political will.

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)0.017
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.190
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.169
GPT teacher head0.495
Teacher spread0.326 · 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.

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

Citations8
Published2015
Admission routes1
Has abstractyes

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