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Instrument for assessing mobile technology acceptability in diabetes self-management: a validation and reliability
Mirela Frandes1, Anca V Deiac2, Bogdan Timar3
1Department of Functional Sciences, "Victor Babes" University of Medicine and Pharmacy of Timisoara.
Patient Preference and Adherence
|March 1, 2017
Summary
A new survey instrument effectively measures patient attitudes towards mobile technology for diabetes self-management. While attitudes are positive, intention to use is moderate, with ease of use and truthfulness identified as key barriers.
Area of Science:
- Digital Health
- Medical Informatics
- Patient Self-Management
Background:
- Mobile technologies are prevalent but underutilized in chronic disease management due to a lack of assessment tools.
- Assessing patient acceptability is crucial for the successful adoption of mobile health solutions.
Purpose of the Study:
- Develop and validate a survey instrument to assess patient attitudes and intentions regarding mobile technology for diabetes mellitus (DM) self-management.
- Identify sociodemographic and quality of life factors influencing mobile technology adoption in DM patients.
Main Methods:
- Instrument design, pilot testing, and validation were conducted.
- The survey was administered to 103 patients with type 1 or type 2 DM.
- Reliability (Cronbach's alpha) and construct validity (factor analysis) were assessed.
Main Results:
- The developed instrument demonstrated high reliability (Cronbach's alpha 0.9-0.97) for assessing attitudes towards mobile technology in DM self-management.
- Younger patients, those with better glycemic control, higher education, and better quality of life showed more favorable attitudes.
- A significant positive correlation was found between quality of life and attitude towards using modern technology.
Conclusions:
- The validated instrument is suitable for measuring the acceptability of mobile technology for DM self-management.
- Most patients have a positive attitude but a moderate intention to use mobile applications for diabetes care.
- Perceived truthfulness and ease of use are significant barriers to the adoption of these technologies.

