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Record W2526460555 · doi:10.4236/health.2016.812131

The Social Determinants of Health and the Role of the Health Care System: A Case Study of the Significance of Good Governance in Public Hospitals in South Africa

2016· article· en· W2526460555 on OpenAlexaff
Adam Fusheini, John Eyles, Jane Goudge

Bibliographic record

VenueHealth · 2016
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCorporate governancePublic healthStakeholderDimension (graph theory)Health careGood governanceHealth policyHealth administrationPublic administrationPublic relationsBusinessMedicinePolitical scienceEconomic growthNursingEconomics

Abstract

fetched live from OpenAlex

Increasingly international and national policies are being directed at actions for the social determinants of health and for an integrated approach to health care provision, not only in terms of institutional cooperation but also stakeholder involvement. A key component of both these policies is the development of good governance principles in all health care agencies and organizations. A neglected dimension in these debates has been the role of the public hospital which remains a vital and expensive dimension of service provision. In a case study of a public hospital in South Africa, this paper charts the readiness of its management principles and activities to provide quality health care linked to population health and to contribute to the non-medical determinant of health. Using Taylor’s principles of good governance, we conclude that there is a mixture of good and not so good governance activity. The paper concludes by examining the external constraints on the public hospital and by providing suggestions for future activities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.976

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.294
Teacher spread0.276 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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