Int J Med Inform - Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely-delivered weight loss interventions.

Tópicos

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Resumo

CKGROUND: The "m" in mHealth is often thought of as the ability to receive health information and monitor behaviors on the go. Little is known about how people actually use mobile vs. traditional access methods and if access method affects engagement and health outcomes.METHODS: This study examines the 3-month outcomes of two mobile weight loss interventions (Pounds Off Digitally (POD) and mobile POD (mPOD)) where participants were required to own a mobile device for study entry and received weight loss information via podcast. Only participants in both studies who were randomized to receive the same theory-based podcast (TBP) were used in this analysis. In POD, 41 participants were randomized to the TBP condition (37 to a control not included in this analyses). In mPOD, 49 participants were randomized to the TBP (n=49) and 47 to the TBP+mobile group (a self-monitoring app and Twitter app for social support). The goal of this study is to examine how participants accessed study components and to examine how type of device impacts engagement and weight loss.RESULTS: Examining data from both studies in aggregate, despite a mobile delivery method, 58% of participants reported using a non-mobile device to access the majority of the podcasts (desktop computers), 76% accessed the podcasts mostly at their home or work, and 62% were mainly non-mobile (e.g., sitting at work) when listening. Examining objective download data for mPOD, 49% of downloads (2889/5944) originated from non-mobile delivery methods vs. mobile platforms (3055/5944). At 3 months, 55% of Twitter posts originated from the website (n=665 posts) vs. a mobile app (n=540; 45%). There was no difference in the number of podcasts participants reported listening to by device. There were more Twitter posts by mobile app users (51?11) than Twitter website users (23?6, p<0.05). There was a trend (p=0.055) in greater weight loss among mobile users for podcasts (-3.5?0.5%) as compared to non-mobile users (-2.5?0.5%). Weight loss was significantly greater in Twitter mobile app users (-5.6?0.9%) than website users (-2.2?0.5%, p<0.01).CONCLUSION: Type of device used for podcast listening did not affect engagement but there was a trend toward greater weight loss among mobile users. Method of Twitter posting was associated with engagement and weight loss with mobile app users posting more to Twitter and losing more weight.

Resumo Limpo

ckground m mhealth often thought abil receiv health inform monitor behavior go littl known peopl actual use mobil vs tradit access method access method affect engag health outcomesmethod studi examin month outcom two mobil weight loss intervent pound digit pod mobil pod mpod particip requir mobil devic studi entri receiv weight loss inform via podcast particip studi random receiv theorybas podcast tbp use analysi pod particip random tbp condit control includ analys mpod particip random tbp n tbpmobil group selfmonitor app twitter app social support goal studi examin particip access studi compon examin type devic impact engag weight lossresult examin data studi aggreg despit mobil deliveri method particip report use nonmobil devic access major podcast desktop comput access podcast most home work main nonmobil eg sit work listen examin object download data mpod download origin nonmobil deliveri method vs mobil platform month twitter post origin websit n post vs mobil app n differ number podcast particip report listen devic twitter post mobil app user twitter websit user p trend p greater weight loss among mobil user podcast compar nonmobil user weight loss signific greater twitter mobil app user websit user pconclus type devic use podcast listen affect engag trend toward greater weight loss among mobil user method twitter post associ engag weight loss mobil app user post twitter lose weight

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