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Between a rock and a hard place: Comparing arms’ length bodies for public involvement in healthcare across the UK

2020· article· en· W3007133722 on OpenAlexaff
Ellen Stewart, Angelo Ercia, Scott L. Greer, Peter Donnelly

Bibliographic record

VenueHealth Policy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Toronto
FundersHealth Foundation
KeywordsChampionLegitimacyTechnocracyPublic administrationPoliticsCorporate governancePolitical scienceSociologyPublic relationsConventionHealthcare systemPublic serviceHealth careLawPolitical economyManagement

Abstract

fetched live from OpenAlex

Arms' length bodies are often seen as a tool of technocratic governance, designed to insulate decision-making from the politicizing pressures of populist influence. This article examines a subset of arms' length bodies in the UK which challenge this convention: agencies which exist to 'champion' the voice of patients and the public in the four NHS systems (England, Northern Ireland, Scotland and Wales). We compare the functions of these agencies on paper and through qualitative interviews in each system which focused on public involvement in major service change (such as closing hospitals). We found that agencies in all four systems had struggled to demonstrate their legitimacy, squeezed between the demands of the elected Governments they answer to, the NHS organisations they are meant to support and challenge, and the publics whose voices they are meant to amplify. We argue that the evolving solutions found in each system demonstrate a foundational tension between locally-legitimate actors and nationally-capable political savvy.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.512
GPT teacher head0.511
Teacher spread0.001 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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