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Record W2135286085 · doi:10.1377/hlthaff.2010.0725

Health Benefits In 2010: Premiums Rise Modestly, Workers Pay More Toward Coverage

2010· article· en· W2135286085 on OpenAlexaff
Gary Claxton, Bianca DiJulio, Heidi Whitmore, Jeremy Pickreign, Megan McHugh, Awo Osei-Anto, Benjamin Finder

Bibliographic record

VenueHealth Affairs · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsWorkplace Health, Safety and Compensation Commission
Fundersnot available
KeywordsRecessionBusinessHealth benefitsPercentage pointDemographic economicsGreat recessionCost sharingLabour economicsEconomicsFinanceMedicineNursing

Abstract

fetched live from OpenAlex

Our annual analysis of health benefits contains findings from interviews of 2,046 public and private employers surveyed during January-May 2010. Average annual premiums in 2010 were $5,049 for single coverage and $13,770 for family coverage--up 5 percent and 3 percent from 2009, respectively. Workers paid more toward premiums in 2010, and more workers are in consumer-directed plans and plans with high deductibles than in 2009. Thirty percent of firms reported that they reduced the scope of benefits or increased cost sharing because of the recession. Surprisingly, the percentage of firms offering health benefits in 2010 increased to 69 percent, up from 60 percent in 2009. The change was largely driven by a thirteen-percentage-point increase in the number of firms with three to nine workers that offered benefits (up from 46 percent in 2009 to 59 percent in 2010). The reason for this increase is unclear.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.051
GPT teacher head0.293
Teacher spread0.242 · 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

Citations44
Published2010
Admission routes1
Has abstractyes

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