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Titre : | User-Centered Mobile Applications for Stroke Survivors (MAPPS): A Mixed-Methods Study of Patient Preferences (2023) |
Auteurs : | Srinath Ramaswamy ; Nadege Gilles ; Angelika C. Gruessner ; Dee Burton ; Marilyn A. Fraser ; Sarah Weingast ; Saroj Kunnakkat ; Aimee Afable ; David Kaufman ; Jonathan Singer ; Clotilde Balucani ; Steven R. Levine |
Type de document : | Article |
Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 104, n° 10, 2023) |
Article en page(s) : | p. 1573-1579 |
Note générale : | https://doi.org/10.1016/j.apmr.2023.05.009 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Accident vasculaire cérébral (AVC) ; Applications mobiles ; Prévention ; Réadaptation ; Smartphone ; Télémédecine |
Résumé : | Objective Investigate stroke survivors? (SS) preferences for a hypothetical mHealth app for post-stroke care and to study the influence of demographic variables on these preferences. Design Mixed-methods, sequential, observational study. Setting Focus groups (phase 1) were conducted to identify SS perceptions and knowledge of mHealth applications (apps). Using grounded theory approach, recurring themes were identified. A multiple-choice questionnaire of 5 desired app features was generated using these themes and mailed to SS (national survey, phase 2). SS? demographics and perceived usefulness (yes/no) for each feature were recorded. In-person usability testing (phase 3) was conducted to identify areas of improvement in user interfaces of existing apps. Summative telephone interviews (phase 4) were conducted for final impressions supplementary to national survey. Participants SS aged >18 years recruited from study hospital, national stroke association database, stroke support and advocacy groups. Non-English speakers and those unable to communicate were excluded. Interventions None. Main Outcome Measures (1) Percentage of SS (phase 2) identifying proposed app features to be useful. (2) Influence of age, sex, race, education, and time since stroke on perceived usefulness. Results Ninety-six SS participated in focus groups. High cost, complexity, and lack of technical support were identified as barriers to adoption of mHealth apps. In the national survey (n=1194), ability to track fitness and diet (84%) and communication (70%) were the most and least useful features, respectively. Perceived usefulness was higher among younger SS (P<.001 to .006 and ss of color american hispanic simple design accommodation for neurologic deficits were main recommendations from usability testing. conclusions are willing adopt mhealth apps that free cost provide technical support. should perform multiple tasks be design. greater interest the app features among may opportunities address health inequities.> |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999323003428 |