Evidence map›Paper›PMID 24354765›Full record

ArticleHealth services research2014

Nonlinear pricing in drug benefits and medication use: the case of statin compliance in Medicare Part D.

Kyoungrae Jung, Roger Feldman, A Marshall McBean

Abstract read
In one paragraph

Article in Health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Are patients more adherent to newer drugs?Health care management science · 2020
    Article
  2. Effects of Transitioning to Medicare Part D on Access to Drugs for Medical Conditions among Dual Enrollees with Cancer.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2017
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kyoungrae JungDepartment of Health Policy and Administration, College of Health and Human Development, The Pennsylvania State University, University Park, PA.
Roger Feldman
A Marshall McBean

Funding

PHS HHS HHSM-500-2005-00271
6 · The paper itself

Abstract

objectiveTo examine how enrollees' statin compliance responds to expected prices in Medicare Part D, which features a nonlinear price schedule due to a coverage gap. DATA SOURCES/STUDY

settingPrescription Drug Event data for a 5 percent random sample of Medicare Advantage Prescription Drug Plan enrollees in 2008 who did not receive a low-income subsidy. STUDY

designWe analyze statin compliance prior to the coverage gap, where the "effective price" is higher than the actual copayment for drugs because consumers anticipate that more spending will make them more likely to reach the gap. We construct each enrollee's effective price as her expected price at the end of the year, which is the weighted average between pre-gap and in-gap copayments with the weight being the predicted probability of hitting the gap. Compliance is defined as at least 80 percent of days covered. PRINCIPAL

findingsPart D enrollees' pre-gap statin compliance decreases by 3.7-4.7 percentage points for a $10 increase in the effective price.

conclusionThe presence of a coverage gap decreases statin compliance prior to the gap, suggesting that incorporating expected future prices is important to assess the full impact of cost sharing on drug compliance under nonlinear price schedules.

Indexed as

Drug MonitoringMedicare Part DAgedCosts and Cost AnalysisFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMalePrescription DrugsUnited StatesHydroxymethylglutaryl-CoA Reductase InhibitorsPrescription DrugsMedicare part DNonlinear pricingstatin compliance

Identifiers

PMID24354765
PMCPMC4231578

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.