Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?

BMC Public Health

Research Article

Daniel Granger¹  Stephanie Schoeppe¹  Corneel Vandelanotte¹  Amanda Rebar¹  Stephanie Alley¹  Mitch J. Duncan²  Camille Short³ 

[1] Physical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland University, 4702, Rockhampton, QLD, Australia;Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Advanced Technology Centre, University Drive, 2308, Callaghan, NSW, Australia;South Australian Health and Medical Research Institute, Faculty of Health Sciences, The University of Adelaide, North Terrace, 5000, Adelaide, South Australia, Australia;

关键词: Smartphone;    Tablet;    Web-based;    mHealth;    Online;    Internet;    Delivery mode;   

DOI  :  10.1186/s12889-016-3316-2

 received in 2015-12-23, accepted in 2016-07-15,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundThe aim of this paper was to ascertain whether greater familiarity with a smartphone or tablet was associated with participants’ preferred mobile delivery modality for eHealth interventions.MethodsData from 1865 people who participated in the Australian Health and Social Science panel study were included into two multinomial logistic regression analyses in which preference for smartphone and tablet delivery for general or personalised eHealth interventions were regressed onto device familiarity and the covariates of sex, age and education.ResultsPeople were more likely to prefer both general and personalised eHealth interventions presented on tablets if they reported high or moderate tablet familiarity (compared to low familiarity) and people were more likely to prefer both general and personalised eHealth interventions presented on smartphones if they reported high or moderate smartphone familiarity, were younger, and had university education (compared to completing high school or less).ConclusionPeople prefer receiving eHealth interventions on the mobile devices they are most familiar with. These findings have important implications that should be considered when developing eHealth interventions, and demonstrates that eHealth interventions should be delivered using multiple platforms simultaneously to optimally cater for as many people as possible.

【 授权许可】

CC BY   
© The Author(s). 2016