Evidence map›Paper›PMID 30906425›Full record

ArticleJournal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain2018

Predictive Value Positive of MTM Eligibility Criteria under MMA and ACA in Identifying Individuals with Medication Utilization Issues.

Yanru Qiao, Christina A Spivey, Junling Wang, Ya-Chen Tina Shih, Jim Y Wan, Julie Kuhle, Samuel Dagogo-Jack, William C Cushman, Marie Chisholm-Burns

Abstract read
In one paragraph

Article in Journal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yanru QiaoHealth Outcomes and Policy Research, Department of Clinical Pharmacy & Translational Science, University of Tennessee College of Pharmacy, 881 Madison Avenue, Room 212, Memphis, TN 38163, , , yqiao1@uthsc.edu.
Christina A SpiveyDepartment of Clinical Pharmacy & Translational Science, University of Tennessee College of Pharmacy, 881 Madison Avenue, Room 258, , , cspivey3@uthsc.edu.
Junling WangHealth Outcomes and Policy Research, Department of Clinical Pharmacy & Translational Science, University of Tennessee College of Pharmacy, 881 Madison Avenue, Room 221, Memphis, TN 38163, , , jwang26@uthsc.edu.ORCID 0000-0003-3929-6227
Ya-Chen Tina ShihDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center & Chief, Section of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1444, Houston, TX 77030, , , yashih@mdanderson.org.
Jim Y WanDepartment of Preventive Medicine, University of Tennessee Health Science Center, 66 N. Pauline, Suite 633, Memphis, TN 38163, , , jwan@uthsc.edu.
Julie KuhlePharmacy Quality Alliance, 5911 Kingstowne Village Parkway, Suite 130, Alexandria, Virginia 22315, , , jkuhle@pqaalliance.org.
Samuel Dagogo-JackDivision of Endocrinology, Diabetes & Metabolism & Director, Clinical Research Center, University of Tennessee Health Science Center, 920 Madison Avenue, Suite 300A, Memphis, TN 38163, , , sdj@uthsc.edu.
William C CushmanDepartment of Preventive Medicine and Medicine, University of Tennessee College of Medicine & Chief, Preventive Medicine Section, Veterans Affairs Medical Center, 1030 Jefferson Avenue, Room 5159, Memphis, TN 38104, , , william.cushman@va.gov.
Marie Chisholm-BurnsUniversity of Tennessee College of Pharmacy, 881 Madison Avenue, Room 264, Memphis, TN 38163, , , mchisho3@uthsc.edu.

Funding

Resolving Racial/Ethnic Disparities Associated with Star Ratings among the ADRD PopulationR01AG049696 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WANG, JUNLING NONE · 2015 to 2022
$2.9M
NIA NIH HHS R01 AG049696
6 · The paper itself

Abstract

objectivesTo compare the predictive value positives (PVP) of medication therapy management eligibility criteria under the Medicare Modernization Act (MMA) and Affordable Care Act (ACA) in identifying individuals with medication utilization issues (MUI).

methodsThis is a retrospective analysis of Medicare database (2012-2013). MUI were determined based on medication utilization measures related to Medicare Part D Star Ratings. PVP or proportions of individuals with MUI were compared between individuals eligible for MTM under MMA and ACA. Need-based and demand-based logistic regression was used to adjust for patient characteristics. MTM eligibility thresholds in 2009 and 2013 and proposed 2015 MTM eligibility thresholds under MMA were examined. Main/sensitivity/disease-specific analyses were conducted to cover the range of eligibility thresholds and combinations. KEY

findingsMMA has higher PVP in identifying patients with MUI than ACA. Proportions of individuals with MUI were higher based on MMA than ACA (e.g., 74.96% for 2009 MMA, 73.51% for 2013 MMA, and 62.46% for proposed 2015 MMA vs. 52.17% for ACA in main analysis; P<0.05). Adjusted findings were similar. For example, based on the demand-based model in the main analysis, the odds ratios were 2.474 (95% CI: 2.454-2.494) for 2013 MMA in comparison to ACA. These numbers indicate that the MMA MTM eligibility criteria for 2013 had 147.4% higher PVP in identifying patients with MUI than ACA. Similar patterns were found in most sensitivity and disease-specific analyses.

conclusionsMMA has higher PVP than ACA in identifying patients with MUI. This study may inform the government on future MTM policy.

Indexed as

efficiencyeligibility criteriaImprovement, and Modernization ActMedicare Prescription Drugmedication therapy management servicesmedication utilization issuesPatient Protection & Affordable Care ActperformancePredictive value positive

Identifiers

PMID30906425
PMCPMC6426324

What OpenQuestion holds

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LicenceTDM
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.