Ontology highlight
ABSTRACT: Background
Lack of adherence with prescribed medications among the asthma populations exacerbates health outcomes and increases social and economic costs.Objectives
The proposed study aims to model patient-centric structural determinants of adherence rates among asthma patients and explore the potential of mobile health apps such as the TRUSTR platform to improve adherence using its power of monetary and non-monetary chatbotting and non-non-monetary nudges. Following specific hypotheses are tested: (1) Patient attributes, such as their age and monetary medical condition, have significant effect on their adherence with the prescribed treatment plans. (2) Behavioral nudging with rewards and engagement via mobile health apps will increase adherence rates.Methods
The pa
SUBMITTER: Zia A
PROVIDER: S-EPMC7398613 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature