Evidence map›Paper›PMID 32996396›Full record

ArticleJournal of managed care & specialty pharmacy2020

Geographic Variation in the Prevalence of High-Risk Medication Use Among Medicare Part D Beneficiaries by Hospital Referral Region.

Chanadda Chinthammit, Sandipan Bhattacharjee, David R Axon, Marion Slack, John P Bentley, Terri L Warholak, Debbie L Wilson, Wei-Hsuan Lo-Ciganic

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Chanadda ChinthammitDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Arizona, Tucson, and Eli Lilly & Company, Indianapolis, Indiana.
Sandipan BhattacharjeeDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson.
David R AxonDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson.
Marion SlackDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson.
John P BentleyDepartment of Pharmacy Administration, School of Pharmacy, University of Mississippi, University, Gainesville.
Terri L WarholakDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson.
Debbie L WilsonDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville.
Wei-Hsuan Lo-CiganicDepartment of Pharmaceutical Outcomes and Policy, and Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville.
University of Arizona · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding geographic patterns of high-risk medication (HRM) prescribed and dispensed among older adults may help the Centers for Medicare & Medicaid Services and their partners develop and tailor prevention strategies.

objectiveTo compare the geographic variation in the prevalence of HRM use among Medicare Part D beneficiaries from 2011 to 2013, for Medicare Advantage Prescription Drug (MA-PD) plans and stand-alone Prescription Drug Plans (PDPs).

methodsThis retrospective study used the data of a 5% national Medicare sample (2011-2013). Beneficiaries were included in the study if they were aged ≥ 65 years, continuously enrolled in MA-PDs or PDPs (~1.3 million each year), and had ≥ 2 prescriptions for the same HRM (e.g., amitriptyline) prescribed and dispensed during the year based on the Pharmacy Quality Alliance's (PQA) quality measures for HRM use. Multivariable logistic regression was used to estimate adjusted annual HRM use rates (i.e., adjusted predictions, average marginal predictions, or model-adjusted risk) across 306 Dartmouth Atlas of Health Care hospital referral regions (HRRs), controlling for sociodemographic, health-status, and access-to-care factors.

resultsAmong eligible beneficiaries each year (1,161,076 in 2011, 1,237,653 in 2012, and 1,402,861 in 2013), nearly 40% were enrolled in MA-PD plans, whereas the remaining 60% were in PDP plans. The adjusted prevalence of HRM use significantly decreased among Medicare beneficiaries enrolled in MA-PD (13.1%-8.4%,

conclusionsSubstantial geographic variation exists in the prevalence of HRM use among older adults in Medicare, regardless of prescription drug plan. Areas with high prevalence of HRM use may benefit from targeted interventions (e.g., medication therapy management monitoring or alternative medication substitutions) to prevent potential adverse consequences. DISCLOSURES: No outside funding supported this study. The authors have nothing to disclose. This study was presented as a poster at the International Society of Pharmacoeconomics and Outcomes Research (ISPOR) Asia Pacific Meeting; September 8-11, 2018; Tokyo, Japan.

Indexed as

Medicare Part DMedication Therapy ManagementAgedAged, 80 and overCross-Sectional StudiesEligibility DeterminationFemaleHumansInappropriate PrescribingMaleMedicare Part CPractice Patterns, Physicians'Prescription DrugsPrevalenceRetrospective StudiesUnited StatesPrescription Drugs

Identifiers

PMID32996396
PMCPMC10391208
OpenAlexW3090951040

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.