Evidence map›Paper›PMID 25719517›Full record

ArticleMedical care2015

Health care system-level factors associated with performance on Medicare STAR adherence metrics in a large, integrated delivery system.

Julie A Schmittdiel, Gregory A Nichols, Wendy Dyer, John F Steiner, Andrew J Karter, Marsha A Raebel

Open access · hybridAbstract read
In one paragraph

Article in Medical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  3. Impact of issuing longer- versus shorter-duration prescriptions: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
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  18. Are patients more adherent to newer drugs?Health care management science · 2020
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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

6 authors at 2 institutions in 1 country.

Julie A Schmittdiel*Division of Research, Kaiser Permanente Northern California, Oakland, CA †Center for Health Research, Kaiser Permanente Northwest, Portland, OR ‡Institute for Health Research, Kaiser Permanente Colorado, Denver, CO.
Gregory A Nichols
Wendy Dyer
John F Steiner
Andrew J Karter
Marsha A Raebel
Kaiser Permanente · USKaiser Permanente Center for Health Research · US

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Multi-institutional Consortium for CER in Diabetes Treatment and PreventionR01HS019859 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI STEINER, JOHN F · 2010 to 2010
$8.9M
Medication Adherence and Social Disparities in DiabetesR01DK080726 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI KARTER, ANDREW JOHN · 2009 to 2012
$1.5M
AHRQ HHS R01 HS019859NIDDK NIH HHS 1P30-DK092924NIDDK NIH HHS P30 DK092924NIDDK NIH HHS R01 DK080726
6 · The paper itself

Abstract

backgroundThe Centers for Medicare and Medicaid Services provide significant incentives to health plans that score well on Medicare STAR metrics for cardiovascular disease risk factor medication adherence. Information on modifiable health system-level predictors of adherence can help clinicians and health plans develop strategies for improving Medicare STAR scores, and potentially improve cardiovascular disease outcomes.

objectiveTo examine the association of Medicare STAR adherence metrics with system-level factors. RESEARCH

designA cross-sectional study. SUBJECTS: A total of 129,040 diabetes patients aged 65 years and above in 2010 from 3 Kaiser Permanente regions. MEASURES: Adherence to antihypertensive, antihyperlipidemic, and oral antihyperglycemic medications in 2010, defined by Medicare STAR as the proportion of days covered ≥ 80%.

resultsAfter controlling for individual-level factors, the strongest predictor of achieving STAR-defined medication adherence was a mean prescribed medication days' supply of > 90 days (RR=1.61 for antihypertensives, oral antihyperglycemics, and statins; all P < 0.001). Using mail order pharmacy to fill medications > 50% of the time was independently associated with better adherence with these medications (RR = 1.07, 1.06, 1.07; P < 0.001); mail order use had an increased positive association among black and Hispanic patients. Medication copayments ≤ $10 for 30 days' supply (RR = 1.02, 1.02, 1.02; P < 0.01) and annual individual out-of-pocket maximums ≤ $2000 (RR = 1.02, 1.01, 1.02; P < 0.01) were also significantly associated with higher adherence for all 3 therapeutic groupings.

conclusionsGreater medication days' supply and mail order pharmacy use, and lower copayments and out-of-pocket maximums, are associated with better Medicare STAR adherence. Initiatives to improve adherence should focus on modifiable health system-level barriers to obtaining evidence-based medications.

Indexed as

Drug MonitoringAgedAged, 80 and overAntihypertensive AgentsCost SharingCross-Sectional StudiesDiabetes MellitusDrug UtilizationFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypoglycemic AgentsInsurance Claim ReviewMaleMedicarePostal ServiceAntihypertensive AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsHypoglycemic Agents

Identifiers

PMID25719517
PMCPMC4359632
OpenAlexW1976400433

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.