Clinical associations of an updated medication effect score for measuring diabetes treatment intensity

Author:

Alexopoulos Anastasia-Stefania12ORCID,Yancy William S134,Edelman David13,Coffman Cynthia J15,Jeffreys Amy S1,Maciejewski Matthew L16,Voils Corrine I78,Sagalla Nicole12,Barton Bradley Anna9,Dar Moahad1011,Mayer Stéphanie B1213,Crowley Matthew J12

Affiliation:

1. Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA

2. Department of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, NC, USA

3. Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA

4. Duke Diet and Fitness Center, Durham, NC, USA

5. Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA

6. Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA

7. William S. Middleton Memorial Veterans Hospital, Madison, WI, USA

8. Department of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI, USA

9. Richmond Diabetes and Endocrinology, Bon Secours Medical Group, Richmond, VA, USA

10. Division of Endocrinology and Metabolism, East Carolina University, Greenville NC, USA

11. Greenville Veterans Affairs Health Care Center, Greenville, NC, USA

12. Hunter Holmes McGuire Veterans Affairs Medical Center, Division of Endocrinology and Metabolism, Richmond, VA, USA

13. Virginia Commonwealth University, Division of Endocrinology and Metabolism, Richmond, VA, USA

Abstract

Objectives The medication effect score reflects overall intensity of a diabetes regimen by consolidating dosage and potency of agents used. Little is understood regarding how medication intensity relates to clinical factors. We updated the medication effect score to account for newer agents and explored associations between medication effect score and patient-level clinical factors. Methods Cross-sectional analysis of baseline data from a randomized controlled trial involving 263 Veterans with type 2 diabetes and hemoglobin A1c levels ≥8.0% (≥7.5% if under age 50). Medication effect score was calculated for all patients at baseline, alongside additional measures including demographics, comorbid illnesses, hemoglobin A1c, and self-reported psychosocial factors. We used multivariable regression to explore associations between baseline medication effect score and patient-level clinical factors. Results Our sample had a mean age of 60.7 ( SD = 8.2) years, was 89.4% male, and 57.4% non-White. Older age and younger onset of diabetes were associated with a higher medication effect score, as was higher body mass index. Higher medication effect score was significantly associated with medication nonadherence, although not with hemoglobin A1c, self-reported hypoglycemia, diabetes-related distress, or depression. Discussion We observed several expected associations between an updated medication effect score and patient-level clinical factors. These associations support the medication effect score as an appropriate measure of diabetes regimen intensity in clinical and research contexts.

Funder

Health Services Research and Development

Durham Center of Innovation to Accelerate Discovery and Practice Transformation

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

SAGE Publications

Subject

Health Policy,General Medicine

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