Previously submitted to: JMIR Aging (no longer under consideration since May 22, 2024)
Date Submitted: Oct 22, 2023
Open Peer Review Period: Oct 22, 2023 - Dec 17, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Development and validation of a mobile health application usability scale for older adults with chronic diseases
ABSTRACT
Background:
Chronic diseases are one of the leading causes of disability and death in people over 60 years. Mobile health applications can revolutionize healthcare delivery and management of chronic conditions as well as reduce healthcare costs. Unfortunately, many of these applications are not designed for elderly patients with chronic diseases. Therefore, it is crucial to create a reliable and specialized tool that developers and researchers can use to assess the usability of mobile (mHealth) applications designed specifically for elderly patients.
Objective:
To develop and validate a mHealth application usability evaluation scale for elderly patients with chronic diseases.
Methods:
We developed the first edition of the scale from March to September 2022 through literature review, interview, team discussion, and the Delphi method. Between October and December 2022, the improved scale after a pilot test was used to conduct surveys in Guangzhou, Guangdong, China, to analyze and screen items using the Item Discrimination Index, Correlation coefficient, Internal consistency test, and exploratory factor analysis. From October 2022 to February 2023, we completed the data collection and evaluation of the reliability and validity of the scale.
Results:
The finalized scale included six dimensions and 23 items. Item-level content validity indices and the average scale content validity index ranged from 0.85–1. The validation evaluation showed that the scale has a good fit, with a χ2/df ratio of 1.728 and various fit indices ranging from 0.817–0.928. The AVE and CR values also met the recommended criteria, with a value greater than 0.4 and 0.6, respectively. Additionally, the Cronbach's α coefficient for the full scale and subscales ranged from 0.758–0.911, indicating good internal consistency.
Conclusions:
The mHealth application usability evaluation scale for older adults with chronic disease was developed with rigorous steps, showing good reliability and validity. The scale can be used to evaluate the usability of mHealth among older adults and promote the age-appropriateness of mHealth.
Citation
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