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Record W4301497467 · doi:10.51952/9781447326984.ch004

Models of health system reform

2016· book-chapter· en· W4301497467 on OpenAlexaboutno aff
David J. Hunter

Bibliographic record

VenuePolicy Press eBooks · 2016
Typebook-chapter
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Health carePolitical sciencePublic administrationDevolution (biology)LocalismPrime ministerCoalition governmentPosition (finance)PoliticsSociologyLawEconomics

Abstract

fetched live from OpenAlex

This chapter describes and analyses the three phases, and contrasting models, of reform of the UK NHS that have occupied governments, principally key ministers and their advisers, from 1997 up to 2015. They have been articulated by one of the last Labour government’s most influential health policy advisers, Simon Stevens, who labelled the phases as follows: benign producerism command and control new localism. Stevens left his position as adviser to former prime minister, Tony Blair, to take up a new post as president of United Health in Europe, a major US health care provider, which over the years has competed for work in the UK, including providing general practitioner services in parts of the country. In April 2014, Stevens returned to the UK to take over as NHS chief executive. Although his phases of reform were developed during the Labour government’s term of office, they remain relevant to the more recent changes introduced by the coalition government in 2013. Britain is something of a market leader in health care reform, having been at it longer than most countries and with a determination and persistence not evident to quite such an extent anywhere else. One eminent commentator, Rudolf Klein, argued that although health care reform ‘has been one of the worldwide epidemics of the 1990s … Britain stands out from the rest’ (Klein 1995: 299). Moreover, since 1999, and as is described later, post-devolution Britain has created growing interest as a laboratory for the study of differences emerging in the health systems taking shape in England, Wales, Scotland and Northern Ireland (Connolly et al 2010; Timmins 2013; Bevan et al 2014).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.948
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.301
GPT teacher head0.453
Teacher spread0.151 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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