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Record W2196294054 · doi:10.20381/ruor-19674

Three essays on population health and public health policy

2005· dissertation· en· W2196294054 on OpenAlexaboutno aff
Xiaochuan Wang

Bibliographic record

VenueuO Research (University of Ottawa) · 2005
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthPopulation healthHealth policyPolitical sciencePublic administrationMedicineNursing

Abstract

fetched live from OpenAlex

Empowered patient or empowered physician. An analysis of the importance of the gatekeeper in the health delivery system. This paper examines the important role of the gatekeeper in the health delivery system. A simple theoretical model is developed which compares the resource allocation when physicians act as gatekeepers with the decisions taken when patients are empowered. It is shown that even when there is no asymmetry of information---and so patients and doctors are equally able to identify the appropriate therapy---that the institutional arrangement matters. Patients demand more time with physicians when they are empowered whereas physicians want to spend more time developing their expertise when they are empowered. The reaction of physicians and patients to changes in policy instruments also differs across institutional arrangements. The analysis also draws attention to the design of the compensation scheme for physicians, and investigates the benefits of using a non-linear scheme. Wealth, health, and the pursuit of happiness. This paper provides a theoretical framework to illustrate the relationship between income, utility maximization, and healthy choices. The analysis indicates that the choices of individuals who maximize utility are not the same as those arising were the individual to maximize wellness. In fact, rational individuals will over-eat and under-exercise relative to health maximizing levels. Yet as individuals get wealthier, they have better health. The paper also compares different strategies for health promotion. Income redistribution may lead to a net increase in population health and in social welfare. By contrast, policies that specifically target lifestyle choices may succeed in persuading citizens to choose a health-maximizing lifestyle, but result in a net welfare loss to society. An empirical investigation of household income and income polices on obesity in Canada. Using the master files of the Canadian Community Health Survey (CCHS), this paper examines the effect of income on obesity and individuals' body-mass index. An instrumental variable technique is employed to derive consistent estimates of this effect and to take account of the possible endogeneity between income and body weight. It is found that higher income will lead to lower body weight for women, while its effect on the body-weight outcome of men is unclear. This chapter uses the estimates of the relationship between income and body weight to simulate the impact of government income policies---like social assistance and child support---on obesity. It is shown that incomes policies may not only decrease income inequality but may also contribute to a lower incidence of obesity amongst the poorer population thus decreasing overall health care costs.

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)0.012
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.011
Scholarly communication0.0070.005
Open science0.0020.004
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0130.002

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 head0.111
GPT teacher head0.389
Teacher spread0.277 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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