title: Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?
abstract: The 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.
  
  
  
  Data 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.
  
  
  
  People 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).
  
  
  
  People 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.
authors.affiliation: Physical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland University, Rockhampton, QLD, 4702, Australia.
authors.forename: Daniel
authors.initials: D
authors.lastname: Granger
authors.affiliation: Physical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland University, Rockhampton, QLD, 4702, Australia. c.vandelanotte@cqu.edu.au.
authors.forename: Corneel
authors.identifier: 0000-0002-4445-8094
authors.initials: C
authors.lastname: Vandelanotte
authors.affiliation: Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Advanced Technology Centre, University Drive, Callaghan, NSW, 2308, Australia.
authors.forename: Mitch J
authors.initials: MJ
authors.lastname: Duncan
authors.affiliation: Physical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland University, Rockhampton, QLD, 4702, Australia.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Alley
authors.affiliation: Physical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland University, Rockhampton, QLD, 4702, Australia.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Schoeppe
authors.affiliation: South Australian Health and Medical Research Institute, Faculty of Health Sciences, The University of Adelaide, North Terrace, Adelaide, 5000, South Australia, Australia.
authors.forename: Camille
authors.initials: C
authors.lastname: Short
authors.affiliation: Physical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland University, Rockhampton, QLD, 4702, Australia.
authors.forename: Amanda
authors.initials: A
authors.lastname: Rebar
mesh_terms: D001315:Australia; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D057240:Patient Preference; D021641:Recognition, Psychology; D000068997:Smartphone; D017216:Telemedicine
keywords: Delivery mode; Internet; Online; Smartphone; Tablet; Web-based; mHealth