» Articles » PMID: 39082085

Medication Engagement, Determinants of Health, and A1C Levels Among Adults With Type 2 Diabetes Within a Tribal Health System

Overview
Publisher Sage Publications
Specialties Endocrinology
Nursing
Date 2024 Jul 31
PMID 39082085
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: The purpose of this study was to examine the association between determinants of health, medication engagement, and A1C levels in adults with type 2 diabetes (T2DM) receiving Tribal health and pharmacy services.

Methods: A retrospective analysis of 2020-2021 electronic health record data was conducted and included adult patients with T2DM using Choctaw Nation Health Services Authority prescribed ≥1 noninsulin glucose-lowering medication in 2020, had ≥1 A1C value in 2020 and 2021, and had a valid zip code in 2021. Patients receiving both insulin and other noninsulin glucose-lowering medication were included. The proportion of days covered (PDC) was used to calculate medication engagement. Statistical analyses included bivariate analysis and linear regression.

Results: There were 3787 patients included in the analyses; 62.5% were considered engaged (PDC ≥ 0.8). The mean 2020 A1C level was 8.0 (64 mmol/mol) ± 1.8; 33% had an A1C of <7%, 42% had an A1C of 7% to 9%, and 25% had an A1C >9%. The mean A1C in 2021 was 7.9 (63 mmol/mol) ± 1.7; 34% had an A1C of <7%, 44% had an A1C of 7% to 9%, and 22% had an A1C >9%. Older age was weakly correlated with higher engagement; higher engagement was associated with lower A1C levels while adjusting for covariates.

Conclusions: Medication engagement was associated with lower A1C levels, and older age was weakly associated with higher engagement to noninsulin glucose-lowering medications, consistent with previous literature. No determinants of health were significantly associated with A1C levels while adjusting for covariates.

References
1.
Roebuck M, Liberman J, Gemmill-Toyama M, Brennan T . Medication adherence leads to lower health care use and costs despite increased drug spending. Health Aff (Millwood). 2011; 30(1):91-9. DOI: 10.1377/hlthaff.2009.1087. View

2.
Wilder M, Kulie P, Jensen C, Levett P, Blanchard J, Dominguez L . The Impact of Social Determinants of Health on Medication Adherence: a Systematic Review and Meta-analysis. J Gen Intern Med. 2021; 36(5):1359-1370. PMC: 8131473. DOI: 10.1007/s11606-020-06447-0. View

3.
Schmittdiel J, Steiner J, Adams A, Dyer W, Beals J, Henderson W . Diabetes care and outcomes for American Indians and Alaska natives in commercial integrated delivery systems: a SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) Study. BMJ Open Diabetes Res Care. 2014; 2(1):e000043. PMC: 4246918. DOI: 10.1136/bmjdrc-2014-000043. View

4.
Syed S, Gerber B, Sharp L . Traveling towards disease: transportation barriers to health care access. J Community Health. 2013; 38(5):976-93. PMC: 4265215. DOI: 10.1007/s10900-013-9681-1. View

5.
Kim Y, Lee J, Kang H, Park S . Effect of medication adherence on long-term all-cause-mortality and hospitalization for cardiovascular disease in 65,067 newly diagnosed type 2 diabetes patients. Sci Rep. 2018; 8(1):12190. PMC: 6093904. DOI: 10.1038/s41598-018-30740-y. View