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Record W1963811760 · doi:10.1136/bmj.c6081

UK hospitals are better managed than counterparts in Canada, France, Germany, and Italy but not the US, report says

2010· article· en· W1963811760 on OpenAlexaboutno aff
M. Limb

Bibliographic record

VenueBMJ · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealth Services Management and Policy
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsMedicineFamily medicineData scienceComputer science

Abstract

fetched live from OpenAlex

Hospitals in the United Kingdom are “better managed” than their counterparts in several European countries and Canada, new research concludes. It also says that private sector organisations perform best overall across the countries. Measures such as greater competition and producing more clinically trained managers could improve management and clinical outcomes still further, the report suggests. The management consultancy McKinsey & Company assessed management practices in nearly 1200 hospitals in seven countries in a joint project with the London School of Economics and Political Science (LSE). It found that the UK “delivers strong management practice” relative to its health expenditure, outscoring Canada, France, Germany, and Italy. It ranked closely with Sweden, while the United States was rated highest overall, although it spends substantially more on health per head of population than the other countries. The report’s lead author, Stephen …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.355
Teacher spread0.336 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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