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Record W2887318173 · doi:10.1158/1538-7445.am2018-4765

Abstract 4765: The impact of the Medicare Part D donut hole closure on use and out-of-pocket costs for aromatase inhibitors

2018· article· en· W2887318173 on OpenAlexaboutno aff
Ilana Graetz, Janeane N. Anderson, Cameron M. Kaplan

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMedicare Part DMedical prescriptionPrescription drugQuarter (Canadian coin)Breast cancerFamily medicinePopulationDemographySubsidyGeneric drugCancerEnvironmental healthDrugInternal medicineNursingPolitical scienceLawPsychiatry

Abstract

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Abstract Objective: Nonadherence to adjuvant hormonal therapy among women with breast cancer increases with higher out-of-pocket costs, particularly among older women. In 2006, Medicare Part D was introduced to provide prescription drug coverage for Medicare beneficiaries, but it had a large coverage gap, also known as “donut hole.” In 2011, a provision of the Affordable Care Act was implemented to slowly eliminate the coverage gap, starting with a 50% reduction in brand-name drug pricing within the coverage gap. Also in 2011, several generic aromatase inhibitor (AI) medications became newly available to patients, further lowering their prescription drug costs. We examined whether the initial donut hole closure affected use of AIs and related out-of-pocket (OOP) costs. Methods: We used a 5% sample of Medicare claims data for 2010 and 2011 (the first year of the donut hole closure) and included women ages 65 and older with a breast cancer diagnosis who filled one or more prescriptions for an AI in the first quarter of 2010 and had at least one AI fill in 2011. We used a difference-in-difference (DID) linear model to compare changes in the number of AI fills and OOP costs per fill between the standard population of individuals affected by the coverage gap to individuals who did not face the coverage gap because of low-income subsidies (LIS), adjusting for sociodemographic factors (e.g., race, age, dual status). Results: Overall, 4,054 women filled an AI prescription in the first quarter of 2010 and had one or more fills in 2011; 37.59% received LIS, and thus were unaffected by the donut hole closure in 2011. After the initial donut hole closure, non-LIS beneficiaries had more AI fills (9.53 in 2011 versus 9.04 in 2010), and lower OOP costs per fill ($33.23 vs. $93.50). Conversely, LIS recipients filled fewer AIs in 2011 compared to 2010 (9.87 vs. 10.26) and had a smaller decrease in their OOP costs per fill ($2.96 vs. $4.40). The adjusted DID model estimates that after the initial prescription coverage gap closure, non-LIS Medicare beneficiaries had an additional 1.6 AI fills and $53.32 lower OOP costs per fill compared to LIS recipients (both p<0.001). Conclusion: The first year of the closure of the prescription drug coverage gap led to greater use of AIs and lower OOP costs for women with breast cancer affected by the policy. Whereas treatment nonadherence among women prescribed AIs is associated with increased risk of recurrence and mortality, findings from this analysis suggest that the donut hole closure and concurrent introduction of generic AIs to the market may increase treatment adherence and improve health outcomes for older women with breast cancer. Citation Format: Ilana Graetz, Janeane N. Anderson, Cameron M. Kaplan. The impact of the Medicare Part D donut hole closure on use and out-of-pocket costs for aromatase inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4765.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.119
GPT teacher head0.408
Teacher spread0.289 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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