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Record W2166653213 · doi:10.1142/s0217590808002823

COST CONTAINMENT AND ACCESS TO CARE: THE SHANGHAI HEALTH CARE FINANCING MODEL

2008· article· en· W2166653213 on OpenAlexaff
Weizhen Dong

Bibliographic record

VenueThe Singapore Economic Review · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHealth carePrepayment of loanBusinessGovernment (linguistics)ChinaEconomic growthFinancePublic economicsEconomicsPolitical science

Abstract

fetched live from OpenAlex

The medical savings account (MSA) model of health care financing is viewed as a health care cost containment strategy. Yet, health care expenditure in Shanghai has increased sharply since the adoption of the MSA system. This paper looks into the health care reforms in Shanghai, especially since the introduction of the MSA scheme. From the Labor Insurance Scheme and Government Insurance Scheme to the Medical Savings Account scheme, ordinary Shanghai residents have not benefited from the most recent health care reforms. They have found medical care much less affordable. Disparity in access to health care access has become more evident than ever. Meanwhile, health care cost has increased sharply. China has benefited from an emphasis on prevention and primary care, but the government's recent policies give a high priority to catastrophic disease. This is not a cost-effective approach. Shanghai's health care system needs to break socioeconomic class boundaries if it is to construct a harmonious society. Shanghai's decision makers and various stakeholders have the resources and wisdom to face the challenge.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.127
GPT teacher head0.329
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2008
Admission routes1
Has abstractyes

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