Jennifer Apolinário-Hagen|Mireille Menzel|Severin Hennemann|Christel Salewski
Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study
University of Hagen|University of Hagen|Johannes Gutenberg University Mainz|University of Hagen
mobile health mhealth apps might potential promote selfmanagement people multiple sclerosis ms everyday life however uptake ms apps remains poor little known facilitators barriers efficient utilization technology acceptancethe aim study examine acceptance mhealth apps disease management sense behavioral intentions use explore determinants utilization among people ms based unified theory acceptance use technology utautparticipants webbased crosssectional study recruited throughout germany support regional ms associations selfhelp groups identify determinants intention use ms apps measure based utaut adapted 4 key determinants performance expectancy effort expectancy social influence facilitating conditions extended intolerance uncertainty iu electronic health literacy potential influencing effects ms computer selfefficacy cse mediators fatigue moderator analyzed using hayess process macro spss version 30 ibm spss version 240a total 98 participants mean age 4703 years sd 1017 6698 67 female moderate fatigue levels completed survey although participants 9198 92 daily smartphone users almost twothirds 6298 63 reported experience ms apps overall acceptance moderate average mean 311 sd 131 minimum1 maximum5 lower scores among persons experience p04 higher scores among current users p001 multiple regression analysis r263 variance explained performance expectancy beta41 social influence beta33 identified significant predictors acceptance p001 cse confirmed partial mediator relationship iu acceptance indirect effect b095 95 ci 0227 001 furthermore moderated mediation cse shown relationship iu behavioral intentions use ms apps low 95 ci 042 001 moderate levels 95 ci 027 001 fatigueoverall exploratory pilot study indicates first time positive expectations helpfulness selfmanagement purposes social support might important factors considered improving acceptance ms apps among smartphone users ms however given inconsistent findings especially regarding role effort expectancy iu selfefficacy conceptual model needs replication larger sample people ms varying fatigue levels longitudinal assessment actual usage ms apps predicted acceptance sense behavioral intentions use