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Record W44693519

International Models of Mixed Public-Private Health Insurance: Lessons for China?

2010· article· en· W44693519 on OpenAlexaff
Åke Blomqvist, Jiwei Qian

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsCarleton University
Fundersnot available
KeywordsChinaDecentralizationGovernment (linguistics)Social insuranceHealth careCompetition (biology)BusinessPublic economicsCentral governmentEconomic growthEconomicsPolitical sciencePublic administrationLocal governmentMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Reform of China’s health care system has been one of the most controversial elements in the gradual transformation of China from a centrally planned economy to one based to a greater extent on competitive markets. Although there is agreement that the health care system that has emerged following the dismantling of the pre-1980s system has major flaws, there are widely diverging views on the way forward. While some proposals entail at least a partial return to the earlier system of publicly funded and managed health services system (the “command and control” model), others are based on a social insurance model that relies on competition among hospitals for patients and a strengthened role of the social insurance plans as purchasers of care. The debate partly reflects tensions between different central ministries and levels of government, and is intertwined with the debate about the decentralization of taxation authority and expenditure responsibilities. While a number of key directives for the future were published in 2009, many issues remain unresolved. In both the English and Chinese-language literature, there has been extensive debate about the organization and funding of the three different social insurance plans that now exist in urban and rural areas (see, for example, the special issues of Health Economics [Vol. 18, Issue S2, July 2009] and China Economic Review [Vol. 20, Issue 4, December 2009] and references there). However, less attention has been paid to the future role of private health insurance. In this paper, we first survey current trends in the emerging role of private insurance in China’s health financing system, both in urban areas (where private insurance is commonly used to complement the public plans), and in rural areas (where private insurers have a role in managing the publicly organized and subsidized rural cooperative medical schemes in some counties). We then discuss policy measures that can be used to create or strengthen the role of private insurance as a potential competitor for the publicly managed insurance plans, and how this can be done without sacrificing the long-term goal of universal coverage and equitable sharing of the burden of health financing. The analysis draws on the experience with mixed insurance systems in countries such as the U.S., France, Holland, and South Africa. Particular attention is paid to the difference between the role of private insurance as a supplement or complement to a public plan (along the lines of the U.S. Medigap plans, or the private plans in France), and its potential role as a substitute for a publicly funded plan (as the Medicare Advantage plans do in the U.S.), as well as to the Dutch model in which public and private insurance plans compete on an equal basis within a publicly funded risk-rated subsidy system. The case for a set of rules that permit a role for substitute private insurance, especially employment-related group insurance, is explored in the paper.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0040.006
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.065
GPT teacher head0.390
Teacher spread0.325 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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