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Smartphone App Designed to Collect Health Information in Older Adults: Usability Study

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Τίτλος: Smartphone App Designed to Collect Health Information in Older Adults: Usability Study
Συγγραφείς: Murabito, Joanne M, Faro, Jamie M, Zhang, Yuankai, DeMalia, Angelo, Hamel, Alexander, Agyapong, Nakesha, Liu, Hongshan, Schramm, Eric, McManus, David D, Borrelli, Belinda
Πηγή: Murabito, J M, Faro, J M, Zhang, Y, DeMalia, A, Hamel, A, Agyapong, N, Liu, H, Schramm, E, McManus, D D & Borrelli, B 2024, 'Smartphone App Designed to Collect Health Information in Older Adults: Usability Study', JMIR Human Factors, vol. 11, e56653. https://doi.org/10.2196/56653
Έτος έκδοσης: 2024
Συλλογή: The University of Manchester: Research Explorer - Publications
Θεματικοί όροι: mobile application surveys (1), mixed methods (166), electronic data collection (8), mHealth (3222), mobile health (1865), mobile application (122), mobile applications (289), app (586), apps (285), applications (289), applications (130), digital health (2098), digital technology (191), digital intervention (241), digital interventions (106), smartphone (870), smartphones (109), usability (544), usable (5), usuableness (4), usefulness (23), utility (43), healtrh information (299)
Περιγραφή: Background: Studies evaluating the usability of mobile-phone assessments in older adults are limited. Objective: This study aims to identify design-based barriers and facilitators to mobile app survey completion among 2 samples of older adults; those in the Framingham Heart Study and a more diverse sample from a hospital-based setting. Methods: We used mixed methods to identify challenging and beneficial features of the mobile app in participants from the electronic Framingham Heart Study (n=15; mean age of 72 years; 6/15, 40% women; 15/15, 100% non-Hispanic and White) and among participants recruited from a hospital-based setting (n=15; mean age of 71 years; 7/15, 47% women; 3/15, 20% Hispanic; and 8/15, 53% non-White). A variety of app-based measures with different response formats were tested, including self-reported surveys, pictorial assessments (to indicate body pain sites), and cognitive testing tasks (eg, Trail Making Test and Stroop). Participants completed each measure using a think-aloud protocol, while being audio- and video-recorded with a qualitative interview conducted at the end of the session. Recordings were coded for participant usability errors by 2 pairs of coders. Participants completed the Mobile App Rating Scale to assess the app (response range 1=inadequate to 5=excellent). Results: In electronic Framingham Heart Study participants, the average total Mobile App Rating Scale score was 7.6 (SD 1.1), with no significant differences in the hospital-based sample. In general, participants were pleased with the app and found it easy to use. A large minority had at least 1 navigational issue, most committed only once. Most older adults did not have difficulty completing the self-reported multiple-choice measures unless it included lengthy instructions but participants had usability issues with the Stroop and Trail Making Test. Conclusions: Our methods and results help guide app development and app-based survey construction for older adults, while also giving consideration to sociodemographic ...
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
ISSN: 2292-9495
Relation: info:eu-repo/semantics/altIdentifier/pissn/2292-9495; info:eu-repo/semantics/altIdentifier/eissn/2292-9495
DOI: 10.2196/56653
Διαθεσιμότητα: https://research.manchester.ac.uk/en/publications/6ef8bb07-4157-40ab-9293-4521d9d58bdc
https://doi.org/10.2196/56653
https://humanfactors.jmir.org/2024/1/e56653
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Αριθμός Καταχώρησης: edsbas.97E5F1D2
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  Data: Murabito, J M, Faro, J M, Zhang, Y, DeMalia, A, Hamel, A, Agyapong, N, Liu, H, Schramm, E, McManus, D D & Borrelli, B 2024, 'Smartphone App Designed to Collect Health Information in Older Adults: Usability Study', JMIR Human Factors, vol. 11, e56653. https://doi.org/10.2196/56653
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  Data: Background: Studies evaluating the usability of mobile-phone assessments in older adults are limited. Objective: This study aims to identify design-based barriers and facilitators to mobile app survey completion among 2 samples of older adults; those in the Framingham Heart Study and a more diverse sample from a hospital-based setting. Methods: We used mixed methods to identify challenging and beneficial features of the mobile app in participants from the electronic Framingham Heart Study (n=15; mean age of 72 years; 6/15, 40% women; 15/15, 100% non-Hispanic and White) and among participants recruited from a hospital-based setting (n=15; mean age of 71 years; 7/15, 47% women; 3/15, 20% Hispanic; and 8/15, 53% non-White). A variety of app-based measures with different response formats were tested, including self-reported surveys, pictorial assessments (to indicate body pain sites), and cognitive testing tasks (eg, Trail Making Test and Stroop). Participants completed each measure using a think-aloud protocol, while being audio- and video-recorded with a qualitative interview conducted at the end of the session. Recordings were coded for participant usability errors by 2 pairs of coders. Participants completed the Mobile App Rating Scale to assess the app (response range 1=inadequate to 5=excellent). Results: In electronic Framingham Heart Study participants, the average total Mobile App Rating Scale score was 7.6 (SD 1.1), with no significant differences in the hospital-based sample. In general, participants were pleased with the app and found it easy to use. A large minority had at least 1 navigational issue, most committed only once. Most older adults did not have difficulty completing the self-reported multiple-choice measures unless it included lengthy instructions but participants had usability issues with the Stroop and Trail Making Test. Conclusions: Our methods and results help guide app development and app-based survey construction for older adults, while also giving consideration to sociodemographic ...
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