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Alberta Rating Index for Apps (ARIA): An Index to Rate the Quality of Mobile Health Applications

  • Author / Creator
    Azad Khaneghah, Peyman
  • Introduction: The number of mobile health applications (m-health apps) available to the public through online application (app) stores is rapidly increasing. In addition, the general public’s interest to use m-health apps as an adjunct to conventional health care services is increasing. However, because of the inadequate quality control mechanisms on app stores and lack of stringent regulations for m-health apps, there is a risk of apps to have inferior quality or even be harmful. In the absence of formal guidelines, users may choose apps based on unreliable information such as reviews and ratings on the app download page, or the number of downloads for an app. Rating scales to evaluate apps exist for m-health app users, health care providers, and researchers. Most are long and complicated scales that are not appropriate for the general public. None have been developed using a theoretical framework. The purpose of this thesis was to develop the Alberta Rating Index for Apps (ARIA) based on the theories of technology acceptance, frameworks of app evaluation, and lived experience of users of mobile health applications.
    Methods: A multi strategy study was conducted in three phases. In phase one, the investigator conducted six focus groups with users of mobile health applications including older adults, adults with a mental health condition, health care providers, and app developers to identify quality criteria that were important to users and developers of m-health apps. Next, an item pool was generated based on a review of app rating scales. In phase two, the content of the item pool was validated using an online survey and a calculation of the content validation index for each item. Also in phase two, a sample of participants from the online survey participated in a focus group to shortlist the item pool and develop the first draft of ARIA. In phase three, ARIA was piloted by nine potential users of m-health apps, including older adults and adults with a mental health condition. Also, in phase three, the inter-rater reliability and criterion-related validity of ARIA were examined using 16 participants consisting of 4 older adults, 4 adults with a mental health condition, and 4 health care providers. The scores of ARIA were correlated with the scores of users’ version of Mobile Apps Rating Scale (U-MARS) to examine the criterion-related validity.
    Results: Nine quality criteria measure the quality of m-health apps: the purpose of the app, trustworthiness, privacy, security, affordability, ease of use, functionality, appropriateness to target users, and usefulness and satisfaction. Generalizability coefficients (G-coefficients) were calculated using ARIA total scores as the measure of reliability. High G-coefficients for health care providers (G = 0.98), older adults (G = 0.83) and adults with mental health conditions (G = 0.88) indicated that users could reliably rate the quality of m-health apps based on total scores of ARIA. The positive but low correlation of ARIA’s total scores with U-MARS indicated that both assessment tools measure the quality of m-health apps. However, the quality criteria were different between the ARIA and U-MARS. Participants in phase three reported that ARIA was easier and more convenient compared to U-MARS.
    Conclusion: ARIA is the first mobile application rating index developed based on theories of technology acceptance and frameworks of app evaluation. ARIA was designed to be used by health care providers and the general public, including older adults, adults with mental health conditions, and family caregivers. The content of ARIA was validated through a rigorous process. Moreover, three types of app users tested the inter-rater reliability of ARIA. Users perceived ARIA to be easier and more convenient compared to U-MARS. Clinical implications of ARIA are to help patients, family caregivers, and healthcare providers rate the quality of mobile health applications and identify the ones that are acceptable. Health informatics researchers may use ARIA to develop health apps that are useful and acceptable to end users, especially older adults.

  • Subjects / Keywords
  • Graduation date
    Spring 2020
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/r3-qagm-6984
  • License
    Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.