Telehealth Diabetes Prevention Program for Adults With Prediabetes in an Academic Medical Center Setting: Protocol for a Hybrid Type III Trial.

Centers for Disease Control and Prevention Medicare behavioral science cost cost-benefit analysis costs design diabetes diabetic distant learning economic engagement implementation implementation science prediabetic state prevention preventive medicine research evaluation telehealth telemedicine use

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
13 Nov 2023
Historique:
received: 06 07 2023
accepted: 21 09 2023
revised: 12 09 2023
medline: 13 11 2023
pubmed: 13 11 2023
entrez: 13 11 2023
Statut: epublish

Résumé

Diabetes is a costly epidemic in the United States associated with both health and economic consequences. These consequences can be mitigated by participation in structured lifestyle change programs such as the National Diabetes Prevention Program (DPP) led by the Centers for Disease Control and Prevention. Mississippi consistently has among the highest rates of diabetes and prediabetes nationally. Implementing the National DPP through large health care systems can increase reach and accessibility for populations at the highest risk for diabetes. Translational research on the National DPP in Mississippi has not been studied. This study aims to evaluate the implementation and impact of the National DPP delivered using telehealth modalities at the University of Mississippi Medical Center in Jackson, Mississippi. An effectiveness-implementation hybrid type III research design is proposed. The study design is guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework and the Practical, Robust Implementation and Sustainability Model. Participants are being recruited via provider referral, and the DPP is being delivered by trained lifestyle coaches. Study participants include adult (≥18 years) patients eligible for the DPP with at least 1 encounter at 1 of 3 ambulatory clinic specialties (lifestyle medicine, family medicine, and internal medicine) between January 2019 and December 2023. The National DPP eligibility criteria include a BMI ≥25 kg/m At baseline, of the 26,151 patients across 3 ambulatory clinic specialties, 1010 (3.9%) had prediabetes and were eligible for the National DPP. Of the 1010 patients, more than half (n=562, 55.6%) were aged 65 years or older, 79.5% (n=803) were Medicare beneficiaries, 65.9% (n=666) were female, and 70.8% (n=715) were obese. This is the first translational study of the National DPP in Mississippi. The findings will inform implementation strategies impacting the uptake and sustainability of the National DPP delivered in an academic medical setting using distance learning and telehealth modalities. ClinicalTrials.gov NCT04822480; https://clinicaltrials.gov/study/NCT03622580. DERR1-10.2196/50183.

Sections du résumé

BACKGROUND BACKGROUND
Diabetes is a costly epidemic in the United States associated with both health and economic consequences. These consequences can be mitigated by participation in structured lifestyle change programs such as the National Diabetes Prevention Program (DPP) led by the Centers for Disease Control and Prevention. Mississippi consistently has among the highest rates of diabetes and prediabetes nationally. Implementing the National DPP through large health care systems can increase reach and accessibility for populations at the highest risk for diabetes. Translational research on the National DPP in Mississippi has not been studied.
OBJECTIVE OBJECTIVE
This study aims to evaluate the implementation and impact of the National DPP delivered using telehealth modalities at the University of Mississippi Medical Center in Jackson, Mississippi.
METHODS METHODS
An effectiveness-implementation hybrid type III research design is proposed. The study design is guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework and the Practical, Robust Implementation and Sustainability Model. Participants are being recruited via provider referral, and the DPP is being delivered by trained lifestyle coaches. Study participants include adult (≥18 years) patients eligible for the DPP with at least 1 encounter at 1 of 3 ambulatory clinic specialties (lifestyle medicine, family medicine, and internal medicine) between January 2019 and December 2023. The National DPP eligibility criteria include a BMI ≥25 kg/m
RESULTS RESULTS
At baseline, of the 26,151 patients across 3 ambulatory clinic specialties, 1010 (3.9%) had prediabetes and were eligible for the National DPP. Of the 1010 patients, more than half (n=562, 55.6%) were aged 65 years or older, 79.5% (n=803) were Medicare beneficiaries, 65.9% (n=666) were female, and 70.8% (n=715) were obese.
CONCLUSIONS CONCLUSIONS
This is the first translational study of the National DPP in Mississippi. The findings will inform implementation strategies impacting the uptake and sustainability of the National DPP delivered in an academic medical setting using distance learning and telehealth modalities.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT04822480; https://clinicaltrials.gov/study/NCT03622580.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/50183.

Identifiants

pubmed: 37955955
pii: v12i1e50183
doi: 10.2196/50183
pmc: PMC10682930
doi:

Banques de données

ClinicalTrials.gov
['NCT03622580', 'NCT04822480']

Types de publication

Journal Article

Langues

eng

Pagination

e50183

Informations de copyright

©Abigail Gamble, Tamkeen Khan, Alejandro Hughes, Yan Guo, Siga Vasaitis, Josie Bidwell, Brian Christman. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 13.11.2023.

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Auteurs

Abigail Gamble (A)

Department of Preventive Medicine, John D Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, United States.
Myrlie Evers-Williams Institute for the Elimination of Health Disparities, John D Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, United States.

Tamkeen Khan (T)

American Medical Association, Chicago, IL, United States.

Alejandro Hughes (A)

Optum, Eden Prairie, MN, United States.

Yan Guo (Y)

Center For Informatics and Analytics, University of Mississippi Medical Center, Jackson, MS, United States.

Siga Vasaitis (S)

American Medical Association, Chicago, IL, United States.

Josie Bidwell (J)

Department of Preventive Medicine, School of Medicine, University of Mississippi Medical Center, Jackson, MS, United States.

Brian Christman (B)

Department of Data Science, John D Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, United States.

Classifications MeSH