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Record W2040388133 · doi:10.1108/eum0000000006183

Can primary care be both patient‐centred and community‐led?

2001· article· en· W2040388133 on OpenAlexaff
Neil Drummond, Steve Iliffe, Sandra McGregor, Neil Craig, Moira Fischbacher

Bibliographic record

VenueJournal of Management in Medicine · 2001
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsProject commissioningPurchasingPrimary careBusinessService (business)PublishingHealth carePublic relationsMedicineMarketingPolitical scienceEconomic growthEconomicsFamily medicine

Abstract

fetched live from OpenAlex

Examines the relationships between the macro-, meso-, and micro-levels in the NHS at the end of the fundholding period and considers their contemporary implications for primary care groups (PCGs) and local health care co-operatives (LHCCs). Fundholding achieved some success in challenging the way in which services were provided at the micro-level (the practice), but had a less marked effect in terms of changing service provision at the health authority (meso-) level or in developing collaborative working with trusts and health authorities in strategic decision making. The health authorities prioritized alternative models of devolved commissioning. Trusts regarded fundholders as a distraction who exerted influence and commanded trust management time disproportionate to their "market share". PCGs and LHCCs represent a shift back to the meso-level in service planning and purchasing. As such there is a risk that the micro-level benefits of fundholding and other forms of devolved commissioning will be lost, while uncertainties remain regarding the capacity of PCGs and LHCCs to incorporate GPs into a collaborative approach to strategic decision making.

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)0.026
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.066
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0090.007
Open science0.0020.010
Research integrity0.0100.005
Insufficient payload (model declined to judge)0.0130.002

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 head0.136
GPT teacher head0.439
Teacher spread0.303 · 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 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

Citations8
Published2001
Admission routes1
Has abstractyes

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