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Record W2068030026 · doi:10.1377/hlthaff.2012.0159

A Decade Of Health Care Access Declines For Adults Holds Implications For Changes In The Affordable Care Act

2012· article· en· W2068030026 on OpenAlexaboutno aff
Genevieve M. Kenney, Stacey McMorrow, Stephen Zuckerman, Dana E. Goin

Bibliographic record

VenueHealth Affairs · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicaidPatient Protection and Affordable Care ActHealth insuranceQuarter (Canadian coin)Supreme courtHealth careHealth care reformHealth reformBusinessMedicineHealth policyPublic administrationPolitical scienceLawGeography

Abstract

fetched live from OpenAlex

The pending Supreme Court decision on the Affordable Care Act and the fall presidential election raise concerns about what would happen if the insurance expansion promised by the landmark health reform law were to be curtailed. This paper's analysis of national survey estimates found that access to health care and use of health services for adults ages 19-64--the primary targets of the Affordable Care Act--deteriorated between 2000 and 2010, particularly among those who were uninsured. More than half of uninsured US adults did not see a doctor in 2010, and only slightly more than a quarter of these adults were seen by a dentist. We also found that children--many of whom qualify for public coverage through Medicaid and the Children's Health Insurance Program--generally maintained or improved their access to care during the same period. This provides a reason for optimism about the ability of the coverage expansion in the Affordable Care Act to improve access for adults, but it suggests that eliminating the law or curtailing the coverage expansion could result in continued erosion of adults' access to care.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.131
GPT teacher head0.392
Teacher spread0.261 · 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

Citations51
Published2012
Admission routes1
Has abstractyes

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