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A Questionnaire for Assessing User Satisfaction With Mobile Health Apps: Development Using Rasch Measurement Theory
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0002-3700-3921
Karolinska Institutet, Sweden.
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0003-4349-500x
Karolinska Institutet, Sweden.
2020 (English)In: JMIR mhealth and uhealth, E-ISSN 2291-5222, Vol. 8, no 5, article id e15909Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Mobile health (mHealth) apps offer great opportunities to deliver large-scale, cost-efficient digital solutions for implementing lifestyle changes. Furthermore, many mHealth apps act as medical devices. Yet, there is little research on how to assess user satisfaction with an mHealth solution. OBJECTIVE: This study presents the development of the mHealth Satisfaction Questionnaire and evaluates its measurement properties. METHODS: Respondents who took part in the Health Integrator Study and were randomized to use the Health Integrator smartphone app for lifestyle changes (n=112), with and without additional telephone coaching, rated their satisfaction with the app using the new 14-item mHealth Satisfaction Questionnaire. The ratings were given on a 5-point Likert scale and measurement properties were evaluated using Rasch measurement theory (RMT). RESULTS: Optimal scoring was reached when response options 2, 3, and 4 were collapsed, giving three response categories. After omitting two items that did not fit into the scale, fit residuals were within, or close to, the recommended range of ±2.5. There was no differential item functioning between intervention group, age group, or sex. The Person Separation Index was 0.79, indicating that the scale's ability to discriminate correctly between person leniency was acceptable for group comparisons but not for individual evaluations. The scale did not meet the criterion of unidimensionality; 16.1% (18/112) of the respondents were outside the desired range of -1.96 to 1.96. In addition, several items showed local dependency and three underlying dimensions emerged: negative experiences, positive experiences, and lifestyle consequences of using the mHealth solution. CONCLUSIONS: In times where mHealth apps and digital solutions are given more attention, the mHealth Satisfaction Questionnaire provides a new possibility to measure user satisfaction to ensure usability and improve development of new apps. Our study is one of only a few cases where RMT has been used to evaluate the usability of such an instrument. There is, though, a need for further development of the mHealth Satisfaction Questionnaire, including the addition of more items and consideration of further response options. The mHealth Satisfaction Questionnaire should also be evaluated in a larger sample and with other mHealth apps and in other contexts. TRIAL REGISTRATION: ClinicalTrials.gov NCT03579342; http://clinicaltrials.gov/ct2/show/NCT03579342. ©Jeanette Melin, Stephanie Erika Bonn, Leslie Pendrill, Ylva Trolle Lagerros. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 26.05.2020.

Place, publisher, year, edition, pages
NLM (Medline) , 2020. Vol. 8, no 5, article id e15909
Keywords [en]
cell phone, healthy lifestyle, methods, mobile applications, mobile phone, psychometrics, smartphone, telemedicine
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-45082DOI: 10.2196/15909Scopus ID: 2-s2.0-85085586063OAI: oai:DiVA.org:ri-45082DiVA, id: diva2:1449637
Available from: 2020-06-30 Created: 2020-06-30 Last updated: 2023-05-25Bibliographically approved

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