Digital Health Tools and Behavioral Strategies to Increase Engagement With Diabetes Self-Management Education and Support: Design and Feasibility of DM-BOOST.


Journal

The science of diabetes self-management and care
ISSN: 2635-0114
Titre abrégé: Sci Diabetes Self Manag Care
Pays: United States
ID NLM: 101775189

Informations de publication

Date de publication:
14 Oct 2024
Historique:
medline: 14 10 2024
pubmed: 14 10 2024
entrez: 14 10 2024
Statut: aheadofprint

Résumé

The purpose of the study was to describe the development and feasibility of implementing the DM-BOOST program in support of an established diabetes self-management education and support (DSMES) program. A patient panel of 4 adults with type 2 diabetes (T2DM) codesigned DM-BOOST. DM-BOOST is a patient-focused program that includes peer-written text messages about diabetes self-management behaviors and digital health training to improve patient portal use and initiate goal setting prior to a scheduled DSMES appointment. Adults with T2DM and A1C ≥8.0% participated in a 6-month feasibility pilot. Participants were randomly assigned (1:1) to receive either DM-BOOST or usual care. Outcomes included DSMES engagement (scheduled and attended DSMES appointments) and changes in diabetes self-efficacy and treatment satisfaction. Pilot participants (n = 60) were 60.0% female with mean age 45.5 years (SD 8.3) and A1C 10.1% (SD 1.8%). All DM-BOOST participants (30/30, 100%) had DSMES appointments scheduled compared to 86.7% of usual care (26/30). DM-BOOST participants had fewer DSMES appointment no-shows/cancellations (3/30, 10%) compared to usual care (10/26, 35%). There was greater improvement in diabetes self-efficacy in the DM-BOOST group compared to usual care and no difference in treatment satisfaction. DM-BOOST, leveraging peer-written text messaging and digital health training, increased DSMES engagement. Implementation of DM-BOOST was determined to be feasible, with several system-level barriers identified, including obtaining provider referrals and scheduling appointments. An effectiveness trial of DM-BOOST is needed to evaluate the impact on clinical outcomes.

Identifiants

pubmed: 39399983
doi: 10.1177/26350106241285829
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

26350106241285829

Auteurs

Daniel J Amante (DJ)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Lisa Shenette (L)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Stacey Wainaina (S)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Kavitha Balakrishnan (K)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Shina Bhatia (S)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Jung Ae Lee (JA)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Stephenie C Lemon (SC)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

David McManus (D)

Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts.

David M Harlan (DM)

Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts.
Diabetes Center of Excellence, UMass Chan Medical School, Worcester, Massachusetts.

Samir Malkani (S)

Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts.
Diabetes Center of Excellence, UMass Chan Medical School, Worcester, Massachusetts.

Ben S Gerber (BS)

Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Classifications MeSH