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Record W3004660179 · doi:10.12927/hcpol.2019.26070

Comparison of Health Insurance Coverage for Hearing Aids and Other Services in Alberta

2019· article· en· W3004660179 on OpenAlexaffvenueabout
Amberley Ostevik, Lindsey Westover, Haley Gynane, Jordan A. Herst, Jacqueline Cummine, William Hodgetts

Bibliographic record

VenueHealthcare policy · 2019
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHealth insuranceBusinessHealth careHealth servicesAudiologyActuarial scienceEnvironmental healthFamily medicineMedicineEconomic growthEconomicsPopulation

Abstract

fetched live from OpenAlex

OBJECTIVES: Of the several barriers associated with uptake and adherence to hearing services, cost is the most commonly identified barrier in Canada. This study evaluated health insurance plans for hearing care coverage within Alberta, Canada, and subsequent out-of-pocket expenses that would result if an individual chose to pursue treatment. METHODS: An investigation of eight companies that provide supplementary health coverage in Alberta was conducted. Categories of health service coverage included hearing, vision, speech-language pathology (S-LP), physical therapy related (PT-R; including massage therapy and chiropractic therapy) and alternative medicine related (AM-R; including osteopathy, acupuncture and naturopathy). All coverage amounts were corrected to a four-year term for comparison purposes. RESULTS: For a four-year term, the coverage amounts for hearing services were CAD 300-750; for vision services were CAD 0-900; for S-LP services were CAD 0-2,400; for PT-R services were CAD 1,400-10,200; and for AM-R services were CAD 0-10,200 per four-year term. The expected out-of-pocket expense for vision ranged from CAD 0 to CAD 2,766, whereas for hearing, it ranged from CAD 250 to CAD 11,700. CONCLUSION: A considerable range and discrepancy were reported between hearing care and most paramedical services. In addition, the coverage amounts for hearing care were inconsistent with treatment costs, resulting in considerable out-of-pocket expenses for most consumers. The potential implications of such cost-related barriers on public health are an important consideration as our understanding of the impact of untreated hearing impairment continues to increase.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.076
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

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

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 head0.071
GPT teacher head0.410
Teacher spread0.340 · 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 teacher head, 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

Citations3
Published2019
Admission routes3
Has abstractyes

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