Associations between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults with Diabetes

Joshua S. Choi, Darren Ma, Julian A. Wolfson, Jean F. Wyman, Terrence J. Adam, Helen N Fu

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1026-1036
Number of pages11
JournalCIN - Computers Informatics Nursing
Volume41
Issue number12
DOIs
StatePublished - Dec 1 2023

Bibliographical note

Publisher Copyright:
© Lippincott Williams & Wilkins.

Keywords

  • Diabetes mellitus
  • Mobile applications
  • Motivation
  • Personal autonomy
  • Self-care

PubMed: MeSH publication types

  • Randomized Controlled Trial
  • Journal Article

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