Evidence map›Paper›PMID 24824538›Full record

ArticleMedical care2014

Impact of medicare part D plan features on use of generic drugs.

Yan Tang, Walid F Gellad, Aiju Men, Julie M Donohue

Abstract readComparative Study
In one paragraph

Article in Medical care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pharmaceutical policies: effects of regulating drug insurance schemes.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Influencers of generic drug utilization: A systematic review.Research in social & administrative pharmacy : RSAP · 2018
    Pooled it
  3. Article
  4. Review
  5. Article
  6. Observational
  7. The adoption of generic immunosuppressant medications in kidney, liver, and heart transplantation among recipients in Colorado or nationally with Medicare part D.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018
    Article
  8. Article
  9. 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

4 authors.

Yan Tang*Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh †VA Pittsburgh Healthcare System ‡Division of General Medicine and Center for Pharmaceutical Policy and Prescribing, University of Pittsburgh §RAND Health, Pittsburgh PA.
Walid F Gellad
Aiju Men
Julie M Donohue

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
HSRD VA CDA 09-207NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1TR000005NCRR NIH HHS UL1 RR024153NCRR NIH HHS UL1RR024153
6 · The paper itself

Abstract

backgroundLittle is known about how Medicare Part D plan features influence choice of generic versus brand drugs.

objectivesTo examine the association between Part D plan features and generic medication use.

methodsData from a 2009 random sample of 1.6 million fee-for-service, Part D enrollees aged 65 years and above, who were not dually eligible or receiving low-income subsidies, were used to examine the association between plan features (generic cost-sharing, difference in brand and generic copay, prior authorization, step therapy) and choice of generic antidepressants, antidiabetics, and statins. Logistic regression models accounting for plan-level clustering were adjusted for sociodemographic and health status.

resultsGeneric cost-sharing ranged from $0 to $9 for antidepressants and statins, and from $0 to $8 for antidiabetics (across 5th-95th percentiles). Brand-generic cost-sharing differences were smallest for statins (5th-95th percentiles: $16-$37) and largest for antidepressants ($16-$64) across plans. Beneficiaries with higher generic cost-sharing had lower generic use [adjusted odds ratio (OR)=0.97, 95% confidence interval (CI), 0.95-0.98 for antidepressants; OR=0.97, 95% CI, 0.96-0.98 for antidiabetics; OR=0.94, 95% CI, 0.92-0.95 for statins]. Larger brand-generic cost-sharing differences and prior authorization were significantly associated with greater generic use in all categories. Plans could increase generic use by 5-12 percentage points by reducing generic cost-sharing from the 75th ($7) to 25th percentiles ($4-$5), increasing brand-generic cost-sharing differences from the 25th ($25-$26) to 75th ($32-$33) percentiles, and using prior authorization and step therapy.

conclusionsCost-sharing features and utilization management tools were significantly associated with generic use in 3 commonly used medication categories.

Indexed as

AgedAntidepressive AgentsCost SavingsCost SharingDrugs, GenericDrug UtilizationHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypoglycemic AgentsMedicare Part DMedication Therapy ManagementUnited StatesAntidepressive AgentsDrugs, GenericHydroxymethylglutaryl-CoA Reductase InhibitorsHypoglycemic Agents

Identifiers

PMID24824538
PMCPMC4142208

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

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.