CC BY 4.0 · Appl Clin Inform 2024; 15(02): 320-326
DOI: 10.1055/a-2297-4334
CIC 2023

Pharmacoinformatics-enabled Interventions Improved Care Coordination and Identified Pharmacy-Related Safety Issues in a Multicultural Medicare Population

Kelly J. T. Craig
1   Clinical Evidence Development, Aetna® Medical Affairs, CVS Health®, Hartford, Connecticut, United States
,
Amanda L. Zaleski
1   Clinical Evidence Development, Aetna® Medical Affairs, CVS Health®, Hartford, Connecticut, United States
,
Shannon M. MacKenzie
2   Aetna Medicare Strategic Programs, CVS Health, New York, New York, United States
,
Brenda L. Butler
3   Aetna Medicare Clinical Pharmacy, CVS Health, Hartford, Connecticut, United States
,
Rebecca A. Youngerman
4   Aetna Clinical Analytics & Behavior Change, CVS Health, New York, New York, United States
,
Sherrie L. McNutt
5   Aetna Medicare Clinical Services, CVS Health, Hartford, Connecticut, United States
,
Alena M. Baquet-Simpson
1   Clinical Evidence Development, Aetna® Medical Affairs, CVS Health®, Hartford, Connecticut, United States
› Institutsangaben

Abstract

Background Compared to White populations, multicultural older adults experience more gaps in preventive care (e.g., vaccinations, screenings, chronic condition monitoring), social determinants of health barriers (e.g., access to care, language, transportation), and disparities and inequities (e.g., comorbidities, disease burden, and health care costs).

Objectives This study aims to describe an informatics-based approach used to execute and evaluate results of a member-centric, pharmacoinformatics-informed engagement program to deliver culturally tailored microinterventions to close medication-related gaps in care utilizing multidisciplinary care coordination that leverages the expanded role of the pharmacist. The operational framework will be described, and the influence of the medication use processes will be reported in a multicultural Medicare Advantage cohort.

Methods A pharmacoinformatics framework was leveraged to conduct a retrospective, observational cohort analysis of the program. Claims data were used to evaluate the influence of medication use process microinterventions from a large Medicare Advantage cohort of members who self-identify as Black and/or Hispanic, and have type 2 diabetes mellitus and/or hypertension, and meet eligibility criteria for multidisciplinary (e.g., nursing and pharmacy) care management (CM) and received pharmacy referral from January 1, 2022, through September 30, 2023.

Results A total of 3,265 Medicare Advantage members (78.3% Black and 21.7% Hispanic) received CM and pharmacy referral. Pharmacovigilance reviews conducted during this timeframe identified 258 acute events that escalated member CM. Provider outreach (n = 185) informed of safety issues (drug duplication, n = 48; drug interactions, n = 21; drug–disease interactions, n = 5; noncompliance and/or dosing issues, n = 27). Outreach to members (n = 160) and providers (n = 164) informed of open quality-related measure gaps for medication adherence.

Conclusion The application of pharmacoinformatics by a payor-led multicultural clinical program demonstrated quality improvements in Medicare Advantage member identification including risk stratification, timely outreach for pharmacy-related safety issues, and improved efficiency of multidisciplinary care coordination involving medication use process workflows.

Protection of Human and Animal Subjects

Sterling Institutional Review Board reviewed (#10311) and determined this study as exempt under 45 CFR 46.104(d)(4). In addition, a waiver of Health Insurance Portability and Accountability Act authorization for the use and disclosure of aggregated, de-identified member data was obtained.




Publikationsverlauf

Eingereicht: 30. Oktober 2023

Angenommen: 14. März 2024

Accepted Manuscript online:
01. April 2024

Artikel online veröffentlicht:
24. April 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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