English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

While several studies have explored the use of mobile health applications, few have observed determinants of mobile health  information  behavior. To develop a model explaining parents’ mobile information behavior on child poisoning prevention, we first explored relevant theories to suggest a theoretical model. In that, we combine existing models on risk and health information seeking, such as the  Planned Risk Information Seeking Model , with models on the acceptance of mobile technologies, such as the  Unified Theory of Acceptance and Use of Technologies . Thereafter, we employed a sequential mixed-method design with an initial qualitative study (four online focus groups with  n  = 25 parents in total) and a standardized online survey of  n  = 1,013 parents to evaluate our research model. Results confirm that both, determinants of information seeking and determinants of technology acceptance, contribute to the explanation of mobile information behavior. App use intention was mainly related to the performance expectancy of app use, the subjective information norm, and social influence on app use. To increase the usage of prevention apps and contribute to the reduction of child injuries, communication on poisoning apps should address subdimensions of the performance expectancy, such as their utility and peoples’ trust in app providers. Moreover, physicians are important multipliers for these messages.

journal of health communication

A Mobile Health Information Behavior Model: Theoretical Development and Mixed-Method Testing in the Context of Mobile Apps on Child Poisoning Prevention