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Record W2201182229

Relating Patient Satisfaction to Insurance Coverage: A Comparison of Market Based and Government Sponsored Health Care

2013· article· en· W2201182229 on OpenAlexaboutno aff
Josef Böhm

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMedicaidHealth careGovernment (linguistics)StatisticBusinessHealth insuranceActuarial scienceFamily medicineMedicineEconomic growthEconomics
DOInot available

Abstract

fetched live from OpenAlex

It is generally accepted that satisfaction with health care is multidimensional and includes many factors removed from the direct delivery of medical services. The analysis seeks to determine if patient satisfaction with health care varies by type of insurance coverage held and whether overall satisfaction is higher within market based health care systems as found in the United States. Using the National Center for Health Statistic’s Joint Canadian United States Survey of Health, 8700 participants (61% American 39% Canadian) made available self-reported information on their health care utilization and health status. Comparison are made between MEDICARE, MEDICAID, employer based insurance, and the National Health Insurance of Canada. The results indicate that there is significant variation with satisfaction depending on type of insurance. When compared to the national Canadian system, American patients with employer based insurance report higher levels of satisfaction.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.357
Teacher spread0.336 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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