Patient Work and Treatment Burden in Type 2 Diabetes: A Mixed-Methods Study.

CuCoM, cumulative complexity model HbA1c, hemoglobin A1c PETS, Patient Experience with Treatment and Self-management T2DM, type 2 diabetes mellitus

Journal

Mayo Clinic proceedings. Innovations, quality & outcomes
ISSN: 2542-4548
Titre abrégé: Mayo Clin Proc Innov Qual Outcomes
Pays: Netherlands
ID NLM: 101728275

Informations de publication

Date de publication:
Apr 2021
Historique:
entrez: 17 5 2021
pubmed: 18 5 2021
medline: 18 5 2021
Statut: epublish

Résumé

To use quantitative and qualitative methods to characterize the work patients with type 2 diabetes mellitus (T2DM) enact and explore the interactions between illness, treatment, and life. In this mixed-methods, descriptive study, adult patients with T2DM seen at the outpatient diabetes clinic at Mayo Clinic in Rochester, Minnesota, from February 1, 2016, through March 31, 2017, were invited to participate. The study had 3 phases. In phase 1, the Patient Experience with Treatment and Self-management (PETS) scale was used to quantify treatment burden. In phase 2, a convenience sample of patients used a smartphone application to describe, in real time, time spent completing diabetes self-management tasks and to upload descriptive digital photographs. In phase 3, these data were explored in qualitative interviews that were analyed by 2 investigators using deductive analysis. Of 162 participants recruited, 160 returned the survey (phase 1); of the 50 participants who used the smartphone application (phase 2), we interviewed 17 (phase 3). The areas in which patients reported highest treatment burden were difficulty with negotiating health services (eg, coordinating medical appointments), medical expenses, and mental/physical exhaustion with self-care. Participants reported that medical appointments required about 2.5 hours per day, and completing administrative tasks related to health care required about 45 minutes. Time spent on health behaviors varied widely-from 2 to 60 minutes in a given 3-hour period. Patients' experience of a task's burden did not always correlate with the time spent on that task. The most burdensome tasks to patients with T2DM included negotiating health care services, affording medications, and completing administrative tasks even though they were not the most time-consuming activities. To be minimally disruptive, diabetes care should minimize the delegation of administrative tasks to patients.

Identifiants

pubmed: 33997635
doi: 10.1016/j.mayocpiqo.2021.01.006
pii: S2542-4548(21)00024-2
pmc: PMC8105508
doi:

Types de publication

Journal Article

Langues

eng

Pagination

359-367

Subventions

Organisme : NCATS NIH HHS
ID : L30 TR002972
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL131535
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR000137
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000135
Pays : United States

Informations de copyright

© 2021 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc.

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Auteurs

Gabriela Spencer-Bonilla (G)

Department of Medicine, Stanford University School of Medicine, Stanford, CA.

Valentina Serrano (V)

Department of Nutrition, Diabetes and Metabolism, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.

Catherine Gao (C)

Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN.
Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN.

Manuel Sanchez (M)

Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN.

Katherine Carroll (K)

School of Sociology, College of Arts and Social Sciences, Australian National University, Canberra, Australia.

Michael R Gionfriddo (MR)

Center for Pharmacy Innovation and Outcomes, Geisinger, Danville, PA.

Emma M Behnken (EM)

Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN.

Ian Hargraves (I)

Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN.

Kasey Boehmer (K)

Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN.

Carl May (C)

Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.

Victor M Montori (VM)

Knowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN.

Classifications MeSH