Outcomes and Attributes Patients Value When Choosing Glucose-Lowering Medications: A Mixed-Methods Study.


Journal

Clinical diabetes : a publication of the American Diabetes Association
ISSN: 0891-8929
Titre abrégé: Clin Diabetes
Pays: United States
ID NLM: 8406985

Informations de publication

Date de publication:
2024
Historique:
pmc-release: 01 06 2025
medline: 17 7 2024
pubmed: 17 7 2024
entrez: 17 7 2024
Statut: ppublish

Résumé

This mixed-methods study sought to identify pharmacotherapy preferences among 40 noninsulin-treated adults with type 2 diabetes receiving care at two U.S. health care systems. Participants ranked by relative importance various health outcomes and medication attributes and then contextualized their rankings. Most participants ranked blindness (63%), death (60%), heart attack (48%), and heart failure (48%) as the most important health outcomes and glucose-lowering efficacy (68%) as the most important medication attribute, followed by oral administration (45%) and lack of gastrointestinal side effects (38%).

Identifiants

pubmed: 39015157
doi: 10.2337/cd23-0042
pii: CD230042
pmc: PMC11247043
doi:

Banques de données

figshare
['10.2337/figshare.24932730']

Types de publication

Journal Article

Langues

eng

Pagination

371-387

Informations de copyright

©2024 by the American Diabetes Association.

Déclaration de conflit d'intérêts

G.E.U. has received unrestricted support for research studies to Emory University from Abbott, Bayer, and Dexcom and is on the advisory board of directors for GlyCare. R.J.G. is supported in part by grants from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and has received unrestricted research support to Emory University from Dexcom, Elil Lilly, and Novo Nordisk and consulting fees from Bayer, Boehringer, Eli Lilly, Novo Nordisk, Pfizer, Sanofi, and Weight Watchers, all of which was unrelated to this work. R.G.M. has received support from NIDDK, the National Institute on Aging, the National Center for Advancing Translational Sciences, and AARP for projects unrelated to this work. She also serves as a consultant to Emmi (Wolters Kluwer) for developing patient education materials related to prediabetes and diabetes. No other potential conflicts of interest relevant to this article were reported.

Auteurs

Elizabeth H Golembiewski (EH)

Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN.

Andrea E Garcia Bautista (AE)

Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN.

Eric Polley (E)

Department of Public Health Sciences, University of Chicago, Chicago, IL.

Guillermo E Umpierrez (GE)

Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Atlanta, GA.

Rodolfo J Galindo (RJ)

Division of Endocrinology, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL.

Juan P Brito (JP)

Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN.
Division of Endocrinology, Department of Medicine, Mayo Clinic, Rochester, MN.

Victor M Montori (VM)

Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN.
Division of Endocrinology, Department of Medicine, Mayo Clinic, Rochester, MN.

Janet P Gockerman (JP)

Patient investigator, Grand Rapids, MI.

Michael Tesulov (M)

Patient investigator, Rochester, MN.

Bertina Labatte (B)

Patient investigator, Rochester, MN.

Mindy M Mickelson (MM)

Division of Endocrinology, Diabetes, & Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Rozalina G McCoy (RG)

Division of Endocrinology, Diabetes, & Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.
University of Maryland Institute for Health Computing, Bethesda, MD.

Classifications MeSH