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KMID : 1022320240180020114
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Asian Nursing Research
2024 Volume.18 No. 2 p.114 ~ p.124
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Automated Personalized Self-care Program for Patients With Type 2 Diabetes Mellitus: A Pilot Trial
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Park Ga-Eun
Lee Hae-Jung
Lee Yoon-Ju
Kim Myoung-Soo
Jung Sun-Young
Khang Ah-Reum
Yi Dong-Won
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Abstract
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PurposeProviding continuous self-care support to the growing diabetes population is challenging. Strategies are needed to enhance engagement in self-care, utilizing innovative technologies for personalized feedback. This study aimed to assess the feasibility of the Automated Personalized Self-Care program among type 2 diabetes patients and evaluate its preliminary effectiveness.
MethodsA parallel randomized pilot trial with qualitative interviews occurred from May 3, 2022, to September 27, 2022. Participants aged 40?69 years with type 2 diabetes and HbA1c ≥ 7.0% were recruited. The three-month program involved automated personalized goal setting, education, monitoring, and feedback. Feasibility was measured by participants’ engagement and intervention usability. Preliminary effectiveness was examined through self-care self-efficacy, self-care behaviors, and health outcomes. Qualitative interviews were conducted with the intervention group.
ResultsA total of 404 patients were screened. Out of the 61 eligible patients, 32 were enrolled, resulting in a recruitment rate of 52.5%. Retention rates at three months were 84.2% and 84.6% in the intervention and control groups, respectively. Among the intervention group, 81.3% satisfied adherence criteria. Mobile application’s usability scored 66.25, and participants’ satisfaction was 8.06. Intention-to-treat analysis showed improvements in self-measured blood glucose testing, grain intake, and HbA1c in the intervention group. Qualitative content analysis identified nine themes.
ConclusionFeasibility of the program was verified. A larger randomized controlled trial is needed to determine its effectiveness in self-care self-efficacy, self-care behaviors, and health outcomes among type 2 diabetes patients. This study offers insights for optimizing future trials assessing clinical effectiveness.
Trial registrationClinical Research Information Service, KCT0008202 (registration date: 17 February 2023).
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KEYWORD
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automation, diabetes mellitus, mobile applications, self-control, self-management
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