MétaCan
Menu
Back to cohort

Maîtriser un espace sanitaire cohérent et performant dans les villes d'Afrique subsaharienne: le district de santéà l'épreuve

2002· article· fr· W2067591686 on OpenAlexaboutno aff
Daniel Grodos, René Tonglet

Bibliographic record

VenueTropical Medicine & International Health · 2002
Typearticle
Languagefr
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Work (physics)Political sciencePrimary health careGeographyHealth careCorporate governanceRural healthRegional scienceWelfare economicsEconomic growthPublic administrationBusinessEconomicsEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Urban health is a fashionable topic which generates a bulk of research work most often focused on particularities of health problems in urban settings. This focus distracts from the importance of research on how local urban health systems are organized and managed. OBJECTIVE: To analyse the conceptual, managerial and technical problems faced by urban health system policy and organization in sub-Saharan Africa, in order to make recommendations. METHODS: We report here on a research programme carried out to review the available evidence on health system policy and organization in urban areas, and to learn lessons from a number of case studies. RESULTS: First, while the health district approach is usually regarded as a means of implementing primary health care in rural areas, we argue that it is likewise appropriate - theoretically and empirically - for the formulation and implementation of a coherent and effective health system in urban areas. Secondly, we concentrate on a number of contextual features that have to be taken into account in order to strengthen district organization and management in the urban context. Spatial, managerial and technical constraints which do not exist in rural areas, proliferation and fragmentation of uncontrolled health services in the private sector, lack of control over political power of the large national and university hospitals, insufficient governance and leadership of the urban health authorities are pointed out for attention. Having noted and thoroughly analysed these issues is not to suggest therefore that the health district approach has to be rejected but that it has to be modified and adapted in key respects. Thirdly, we outline district health system strengthening in the cities as a policy option less fashionable but more appropriate, including the World Bank agenda for reform, the sector-wide approaches for health development, the health promotion approaches based on the Ottawa Charter, and the poverty reduction approaches focusing on coping strategies of local actors. CONCLUSION: Greater achievements could be reached by urban health systems in sub-Saharan Africa if they were organized and structured according to a health district policy. Key elements of such an organizational and managerial strategy should be realistically understood and assessed so as to provide health managers with a suitable tool for the successful development of primary health care in urban settings. Given the identified contextual constraints, implementation of a district health system in an urban context appears to depend mainly on political will and decision. It calls only incidentally for technical solutions. The following are among the most important requirements that have to be taken into account: ensuring appropriate allocation of resources to a legitimate urban health authority responsible for effective co-ordination of the many actors involved in urban health, setting out key developmental guidelines for the big city hospitals and effective communication channels with these institutions, ensuring development regulation and good governance of the private health sector. The role of the state remains crucial in this perspective.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.032
GPT teacher head0.323
Teacher spread0.291 · 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 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

Citations10
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueTropical Medicine & International HealthSame topicGlobal Maternal and Child HealthFrench-language works237,207