自我管理
可用性
医学
背景(考古学)
包裹体(矿物)
移动电话
1型糖尿病
血糖性
医学教育
应用心理学
心理学
糖尿病
社会心理学
计算机科学
古生物学
电信
人机交互
机器学习
生物
内分泌学
作者
Arelis Moore de Peralta,J. Cepeda,Breauna Franklin,Gabriela de Azevedo Abreu,Shelby Dorth,Ethan Barkley
标识
DOI:10.1016/j.jcjd.2023.07.006
摘要
Abstract
Objective
The purpose of this interdisciplinary study was to determine Dominican adolescents' preferences for the content, functionality (i.e. food's glycemic index list, and amount of insulin based on foods' carbohydrate count), and design of a culturally and linguistically relevant mobile application (app) for type 1 diabetes mellitus (T1DM) self-management. The app would facilitate T1DM self-management education and support by addressing providers' challenges in monitoring patients' disease progression and promoting patient adherence to recommended lifestyle changes. Findings inform an app development process that considers the linguistic and cultural values, norms, and structures of people with T1DM and their providers in the Dominican Republic. Methods
Phone interviews were conducted with 23 adolescents (14 to 18 years of age), using a semistructured questionnaire. The research team conducted the data analysis using NVivo through a deductive and inductive approach. Results
The findings suggest that, regardless of the context, adolescents with T1DM desire similar features and functionalities in a self-management app. Overall, participants preferred an app with a graphic format that has accessible information, a straightforward design, and instructional videos. Participants also desired that an app provide information and reminders about proper eating and insulin administration timing and be a vehicle to access a social network to foster mutual support and encouragement. Conclusions
Our study highlights adolescents' perspectives on components for inclusion in an app for T1DM self-management. Participants' recommendations for the app's potential usability, contents, and design features will be used to guide the development of a new app to promote engagement and foster better health outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI