PMID- 34505831
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220211
IS  - 1929-0748 (Print)
IS  - 1929-0748 (Electronic)
IS  - 1929-0748 (Linking)
VI  - 10
IP  - 9
DP  - 2021 Sep 10
TI  - Disability-Inclusive Diabetes Self-management Telehealth Program: Protocol for a 
      Pilot and Feasibility Study.
PG  - e31689
LID - 10.2196/31689 [doi]
LID - e31689
AB  - BACKGROUND: Individuals with disabilities and type 2 diabetes require 
      self-management programs that are accessible, sustainable, inclusive, and 
      adaptable. Health coaching has been shown to be an effective approach for 
      improving behavioral changes in self-management. Health coaching combined with 
      telehealth technology has the potential to improve the overall quality of and 
      access to health services. OBJECTIVE: This protocol outlines the study design for 
      implementing the Artificial Intelligence for Diabetes Management (AI4DM) 
      intervention. The protocol will assess the feasibility, acceptability, and 
      preliminary efficacy of the AI4DM telehealth platform for people with 
      disabilities. METHODS: The AI4DM study is a 2-arm randomized controlled trial for 
      evaluating the delivery of a 12-month intervention, which will involve 
      telecoaching, diabetes educational content, and technology access, to 90 
      individuals with diabetes and physical disabilities. The hypothesis is that this 
      pilot project is feasible and acceptable for adults with permanently impaired 
      mobility and type 2 diabetes. We also hypothesize that adults in the AI4DM 
      intervention groups will have significantly better glycemic control (glycated 
      hemoglobin) and psychosocial and psychological measures than the attention 
      control group at the 3-, 6-, and 12-month follow-ups. RESULTS: The AI4DM study 
      was approved by the university's institutional review board, and recruitment and 
      enrollment will begin in October 2021. CONCLUSIONS: The AI4DM study will improve 
      our understanding of the feasibility and efficacy of a web-based diabetes 
      self-management program for people with disabilities. The AI4DM intervention has 
      the potential to become a scalable and novel method for successfully managing 
      type 2 diabetes in people with disabilities. TRIAL REGISTRATION: 
      ClinicalTrials.gov NCT04927377; https://clinicaltrials.gov/ct2/show/NCT04927377. 
      INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/31689.
CI  - (c)Eric Evans, Ayse Zengul, Allyson Hall, Haiyan Qu, Amanda Willig, Andrea 
      Cherrington, Mohanraj Thirumalai. Originally published in JMIR Research Protocols 
      (https://www.researchprotocols.org), 10.09.2021.
FAU - Evans, Eric
AU  - Evans E
AUID- ORCID: 0000-0003-3751-0269
AD  - Department of Health Services Administration, University of Alabama at 
      Birmingham, Birmingham, AL, United States.
FAU - Zengul, Ayse
AU  - Zengul A
AUID- ORCID: 0000-0002-2820-7076
AD  - Department of Nutrition Sciences, University of Alabama at Birmingham, 
      Birmingham, AL, United States.
FAU - Hall, Allyson
AU  - Hall A
AUID- ORCID: 0000-0002-4945-9184
AD  - Department of Health Services Administration, University of Alabama at 
      Birmingham, Birmingham, AL, United States.
FAU - Qu, Haiyan
AU  - Qu H
AUID- ORCID: 0000-0002-0044-589X
AD  - Department of Health Services Administration, University of Alabama at 
      Birmingham, Birmingham, AL, United States.
FAU - Willig, Amanda
AU  - Willig A
AUID- ORCID: 0000-0001-8802-4311
AD  - Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 
      United States.
FAU - Cherrington, Andrea
AU  - Cherrington A
AUID- ORCID: 0000-0002-8321-3567
AD  - Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 
      United States.
FAU - Thirumalai, Mohanraj
AU  - Thirumalai M
AUID- ORCID: 0000-0001-9768-3829
AD  - Department of Health Services Administration, University of Alabama at 
      Birmingham, Birmingham, AL, United States.
LA  - eng
SI  - ClinicalTrials.gov/NCT04927377
GR  - P30 DK079626/DK/NIDDK NIH HHS/United States
PT  - Journal Article
DEP - 20210910
PL  - Canada
TA  - JMIR Res Protoc
JT  - JMIR research protocols
JID - 101599504
PMC - PMC8463947
OTO - NOTNLM
OT  - artificial intelligence
OT  - diabetes mellitus
OT  - health coaching
OT  - mobile phone
OT  - telehealth
COIS- Conflicts of Interest: None declared.
EDAT- 2021/09/11 06:00
MHDA- 2021/09/11 06:01
PMCR- 2021/09/10
CRDT- 2021/09/10 12:10
PHST- 2021/06/30 00:00 [received]
PHST- 2021/07/06 00:00 [accepted]
PHST- 2021/09/10 12:10 [entrez]
PHST- 2021/09/11 06:00 [pubmed]
PHST- 2021/09/11 06:01 [medline]
PHST- 2021/09/10 00:00 [pmc-release]
AID - v10i9e31689 [pii]
AID - 10.2196/31689 [doi]
PST - epublish
SO  - JMIR Res Protoc. 2021 Sep 10;10(9):e31689. doi: 10.2196/31689.