Litcius/Paper detail

The Association of Mobile Health Applications with Self-Management Behaviors among Adults with Chronic Conditions in the United States

Hao Wang, Amy F. Ho, R. Constance Wiener, Usha Sambamoorthi

2021International Journal of Environmental Research and Public Health40 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Mobile applications related to health and wellness (mHealth apps) are widely used to self-manage chronic conditions. However, research on whether mHealth apps facilitate self-management behaviors of individuals with chronic conditions is sparse. We aimed to evaluate the association of mHealth apps with different types of self-management behaviors among patients with chronic diseases in the United States. METHODS: = 2340) of the Health Information National Trends Survey in 2018 and 2019. We identified three self-management behaviors: (1) resource utilization using electronic personal health records; (2) treatment discussions with healthcare providers; and (3) making healthcare decisions. We analyzed the association of mHealth apps to self-management behaviors with multivariable logistic and ordinal regressions. RESULTS: Overall, 59.8% of adults (unweighted number = 1327) used mHealth apps. Adults using mHealth apps were more likely to use personal health records (AOR = 3.11, 95% CI 2.26-4.28), contact healthcare providers using technology (AOR = 2.70, 95% CI 1.93-3.78), and make decisions on chronic disease management (AOR = 2.59, 95% CI 1.93-3.49). The mHealth apps were associated with higher levels of self-management involvement (AOR = 3.53, 95% CI 2.63-4.72). CONCLUSION: Among individuals with chronic conditions, having mHealth apps was associated with positive self-management behaviors.

Topics & Concepts

mHealthSelf-managementLogistic regressionMedicineChronic diseaseTelemedicineHealth careObservational studyOrdered logitCross-sectional studyChronic careDisease managementChronic conditionHealth management systemFamily medicineNursingDiseasePsychological interventionAlternative medicineComputer scienceEconomicsPathologyMachine learningEconomic growthInternal medicineMobile Health and mHealth ApplicationsDigital Mental Health InterventionsMedication Adherence and Compliance