Evidence map›Paper›PMID 33214124›Full record

ArticleResearch in social & administrative pharmacy : RSAP2021

Positive deviants for medication therapy management: A mixed-methods comparative case study of community pharmacy practices.

Omolola A Adeoye-Olatunde, Leslie M Lake, Celena A Strohmier, Amanda K Gourley, Ashli R Ray, Alan J Zillich, Margie E Snyder

Abstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP, 2021. 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.

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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

7 authors.

Omolola A Adeoye-OlatundeDepartment of Pharmacy Practice, Purdue University College of Pharmacy, 640 Eskenazi Avenue, Indianapolis, IN, 46202, USA. Electronic address: adeoyeo@purdue.edu.
Leslie M LakeKroger Health Central Division, 5960 Castleway West Dr Indianapolis, IN, 46250, USA. Electronic address: leslie.lake@kroger.com.
Celena A StrohmierKroger Health Central Division, 5960 Castleway West Dr Indianapolis, IN, 46250, USA; Department of Pharmacy Practice, Purdue University College of Pharmacy, 575 Stadium Mall Drive, West Lafayette, IN, 47907, USA. Electronic address: celena.strohmier@stores.kroger.com.
Amanda K GourleyDepartment of Pharmacy Practice, Purdue University College of Pharmacy, 575 Stadium Mall Drive, West Lafayette, IN, 47907, USA; CVS Target Channel District 4, 3601 N Barr St Muncie, IN 47303, USA. Electronic address: akparsons8@gmail.com.
Ashli R RayUnion Hospital, 1606 N 7th St, Terre Haute, IN, 47804, USA. Electronic address: aray@uhhg.org.
Alan J ZillichDepartment of Pharmacy Practice, Purdue University College of Pharmacy, 640 Eskenazi Avenue, Indianapolis, IN, 46202, USA. Electronic address: azillich@purdue.edu.
Margie E SnyderDepartment of Pharmacy Practice, Purdue University College of Pharmacy, 640 Eskenazi Avenue, Indianapolis, IN, 46202, USA. Electronic address: snyderme@purdue.edu.

Funding

Indiana Clinical and Translational Sciences InstituteTL1TR001107 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$2.0M
NCATS NIH HHS TL1 TR001107
6 · The paper itself

Abstract

backgroundTo optimize medication use in older adults, the Centers for Medicare & Medicaid Services (CMS) launched Medication Therapy Management (MTM) services as part of Medicare Part D policy; however, strategies for achieving high quality MTM outcomes are not well understood.

objectiveThe objective of this study was to generate hypotheses for strategies contributing to community pharmacies' high performance on policy-relevant MTM quality measures.

methodsThis mixed-methods comparative case study was guided by the Positive Deviance approach and Chronic Care Model. The study population consisted of pharmacy staff employed by a Midwestern division of a national supermarket-community pharmacy chain. Data consisted of demographics and qualitative data from semi-structured interviews. Qualitative and quantitative data were analyzed deductively and inductively or using descriptive statistics, respectively. MTM quality measures used to evaluate participant pharmacies' MTM performance mirrored select 2017 Medicare Part D Plans' Star Rating measures.

resultsThirteen of 18 selected case pharmacies (72.2%) participated in this study, of which 5 were categorized as high performers, 4 moderate performers, and 4 low performers. Eleven pharmacists, 11 technicians, and 3 student interns participated in interviews. Eight strategies were hypothesized as contributing to MTM performance: Strong pharmacy staff-provider relationships and trust, Inability to address patients' social determinants of health (negatively contributing), Technician involvement in MTM, Providing comprehensive medication reviews in person vs. phone alone, Placing high priority on MTM, Using available clinical information systems to identify eligible patients, Technicians using clinical information systems to collect/document information for pharmacists, Faxing prescribers adherence medication therapy problems (MTPs) and calling on indication MTPs.

conclusionsEight strategies were hypothesized as contributing to community pharmacies' performance on MTM quality measures. Findings from this work can inform MTM practice and Medicare Part D MTM policy changes to positively influence patient outcomes. Future research should test hypotheses in a larger representative sample of pharmacies.

Indexed as

Community Pharmacy ServicesMedicare Part DPharmaciesAgedHumansMedication Therapy ManagementPharmacistsUnited StatesCommunity pharmacy servicesMedication therapy managementMixed-methodsPositive deviance approach

Identifiers

PMID33214124
PMCPMC8079557

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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.