Examining usage behavior of a goal-supporting mHealth app in primary care among patients with multiple chronic conditions: A qualitative study (Preprint)

Abstract

BACKGROUND Although mobile health (mHealth) applications are increasingly being used to support patients with multiple chronic conditions (multimorbidity), the majority of mHealth apps experience low interaction and eventual abandonment. To tackle this engagement issue, it is important to understand social-behavioral factors that impact patients’ usage behavior when developing a mHealth program. OBJECTIVE This study aims to explore the social and behavioral factors contributing to the patients’ usage behavior of a mHealth app called the electronic Patient Reported Outcome (ePRO). The ePRO app supports goal-oriented care delivery in interdisciplinary primary care models. METHODS A descriptive qualitative study was used to analyze interview data collected for a larger mixed-method pragmatic trial. The original 15-month trial was conducted in six primary care teams across Ontario between 2018 and 2019. For this analysis, patients were classified as long-term or short-term users based on their length of usage of the ePRO app during the trial. Bandura’s Social Cognitive Theory (SCT) was used to categorize social-behavioral factors that contributed to patients' decisions to continue/discontinue the app. RESULTS The patient-provider relationship emerged as a key factor that shaped patients’ experiences with the app and subsequent decisions to continue using the app. Other factors that contributed to the patients’ decisions to continue using the app were: personal and social circumstances, perceived usefulness, patients’ prior experience in goal-related behaviors, and confidence in one’s capability to achieve goals and/or use technology. There was an overlap of experience between long-term and short-term app users but in general, long-term users perceived the app to be more useful and their goals to be more meaningful than short-term users. This observation was complicated by the fact that patient health-related goals are dynamic and changed over time. CONCLUSIONS Multimorbid patients’ usage behavior of a goal-supporting mHealth is shaped by an array of socio-behavioral factors that can evolve. To tackle this dynamism, there should be an emphasis on creating adaptable health technologies that are easily customizable by patients and able to respond to their changing contexts and needs. CLINICALTRIAL ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954