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

Abstract Background 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. Methods Data from 1865 people who participated in the Australian Health and Social Scienc...

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Main Authors: Daniel Granger, Corneel Vandelanotte, Mitch J. Duncan, Stephanie Alley, Stephanie Schoeppe, Camille Short, Amanda Rebar
Format: Article
Language:English
Published: BMC 2016-07-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-016-3316-2
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spelling doaj-8527b4a932534b0c804ccaf5449d2ce62020-11-24T22:15:51ZengBMCBMC Public Health1471-24582016-07-011611710.1186/s12889-016-3316-2Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?Daniel Granger0Corneel Vandelanotte1Mitch J. Duncan2Stephanie Alley3Stephanie Schoeppe4Camille Short5Amanda Rebar6Physical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland UniversityPhysical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland UniversityPriority Research Centre for Physical Activity and Nutrition, University of Newcastle, Advanced Technology CentrePhysical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland UniversityPhysical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland UniversitySouth Australian Health and Medical Research Institute, Faculty of Health Sciences, The University of AdelaidePhysical Activity Research Group, School of Human, Health and Social Sciences, Building 18, Central Queensland UniversityAbstract Background 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. Methods 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. Results 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). Conclusion 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.http://link.springer.com/article/10.1186/s12889-016-3316-2SmartphoneTabletWeb-basedmHealthOnlineInternet
collection DOAJ
language English
format Article
sources DOAJ
author Daniel Granger
Corneel Vandelanotte
Mitch J. Duncan
Stephanie Alley
Stephanie Schoeppe
Camille Short
Amanda Rebar
spellingShingle Daniel Granger
Corneel Vandelanotte
Mitch J. Duncan
Stephanie Alley
Stephanie Schoeppe
Camille Short
Amanda Rebar
Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?
BMC Public Health
Smartphone
Tablet
Web-based
mHealth
Online
Internet
author_facet Daniel Granger
Corneel Vandelanotte
Mitch J. Duncan
Stephanie Alley
Stephanie Schoeppe
Camille Short
Amanda Rebar
author_sort Daniel Granger
title Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?
title_short Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?
title_full Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?
title_fullStr Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?
title_full_unstemmed Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?
title_sort is preference for mhealth intervention delivery platform associated with delivery platform familiarity?
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2016-07-01
description Abstract Background 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. Methods 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. Results 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). Conclusion 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.
topic Smartphone
Tablet
Web-based
mHealth
Online
Internet
url http://link.springer.com/article/10.1186/s12889-016-3316-2
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