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Associations Between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults With Diabetes.
Choi, Joshua S; Ma, Darren; Wolfson, Julian A; Wyman, Jean F; Adam, Terrence J; Fu, Helen N.
Affiliation
  • Choi JS; Center for Biomedical Informatics, Regenstrief Institute, Inc (Drs Choi and Fu); and School of Medicine, Indiana University (Dr Choi), Indianapolis; Minnetonka High School (Mr Ma); and Schools of Public Health (Dr Wolfson) and Nursing (Dr Wyman) and College of Pharmacy and Institute for Health Informatics (Dr Adam), University of Minnesota, Minneapolis; and Richard M. Fairbank School of Public Health, Indiana University (Dr Fu), Indianapolis.
Comput Inform Nurs ; 41(12): 1026-1036, 2023 Dec 01.
Article in En | MEDLINE | ID: mdl-38062548
To examine whether psychosocial needs in diabetes care are associated with carbohydrate counting and if carbohydrate counting is associated with satisfaction with diabetes applications' usability, a randomized crossover trial of 92 adults with type 1 or 2 diabetes requiring insulin therapy tested two top-rated diabetes applications, mySugr and OnTrack Diabetes. Survey responses on demographics, psychosocial needs (perceived competence, autonomy, and connectivity), carbohydrate-counting frequency, and application satisfaction were modeled using mixed-effect linear regressions to test associations. Participants ranged between 19 and 74 years old (mean, 54 years) and predominantly had type 2 diabetes (70%). Among the three tested domains of psychosocial needs, only competence-not autonomy or connectivity-was found to be associated with carbohydrate-counting frequency. No association between carbohydrate-counting behavior and application satisfaction was found. In conclusion, perceived competence in diabetes care is an important factor in carbohydrate counting; clinicians may improve adherence to carbohydrate counting with strategies designed to improve perceived competence. Carbohydrate-counting behavior is complex; its impact on patient satisfaction of diabetes application usability is multifactorial and warrants consideration of patient demographics such as sex as well as application features for automated carbohydrate counting.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / Diabetes Mellitus, Type 2 / Mobile Applications Limits: Adult / Aged / Humans / Middle aged Language: En Journal: Comput Inform Nurs Journal subject: ENFERMAGEM / INFORMATICA MEDICA Year: 2023 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / Diabetes Mellitus, Type 2 / Mobile Applications Limits: Adult / Aged / Humans / Middle aged Language: En Journal: Comput Inform Nurs Journal subject: ENFERMAGEM / INFORMATICA MEDICA Year: 2023 Document type: Article Country of publication: