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Record W2045710835 · doi:10.1002/hpm.814

The Shanghai case: a qualitative evaluation of community health reform in response to the challenge of population ageing

2005· article· en· W2045710835 on OpenAlexaff
Xiaolin Wei, David Zakus, Hong Liang, Xiaoming Sun

Bibliographic record

VenueThe International Journal of Health Planning and Management · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)Government (linguistics)Population ageingHealth careFocus groupHealth care reformCommunity healthQualitative researchBusinessProcess (computing)Public relationsPopulationNursingHealth policyPublic administrationEconomic growthPolitical scienceMedicineMarketingSociologyEnvironmental healthGeographyEconomics

Abstract

fetched live from OpenAlex

Shanghai's health care system is facing a serious challenge of an ageing population, as 14% of its 17 million residents are 65 or older. In 2000, a community health reform was implemented to provide comprehensive and continuous primary care to community residents with a focus on seniors. The study employed the theoretical framework of examining primary care in terms of the constellation of its four unique elements (first contact, comprehensiveness, longitudinality and coordination) and three healthcare components (structure, process and outcome). The study aimed to evaluate the extent to which the reform has achieved its process goals and how the organizational context influenced the level of implementation. In-depth interviews with 25 health providers, 15 seniors and four community leaders were carried out. The study found that the Shanghai community health reform has improved the structure and process of primary care regarding first contact, comprehensiveness and longitunality. However, the reform is constrained by structural barriers on seniors' financial access to resources and the capacity of primary care providers. The previous organization system also constrains the reform in CHCs financing and administration. The Shanghai case illustrates that a broad societal view has to be taken when analysing health reforms, which requires the involvement of multiple sectors including the government, health providers and health consumers.

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)0.037
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.109
GPT teacher head0.476
Teacher spread0.367 · 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 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

Citations25
Published2005
Admission routes1
Has abstractyes

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