There is potential for mHealth tools to better facilitate adherence to chronic disease management , but the evidence supporting its current effectiveness is mixed .
BACKGROUND Adherence to chronic disease management is critical to achieving improved health outcomes , quality of life , and cost-effective health care .
As the burden of chronic diseases continues to grow globally , so does the impact of non-adherence .
Mobile technologies are increasingly being used in health care and public health practice ( mHealth ) for patient communication , monitoring , and education , and to facilitate adherence to chronic diseases management .
OBJECTIVE We conducted a systematic review of the literature to evaluate the effectiveness of mHealth in supporting the adherence of patients to chronic diseases management ( " mAdherence " ) , and the usability , feasibility , and acceptability of mAdherence tools and platforms in chronic disease management among patients and health care providers .
Psychosocial factors and medication adherence among patients with coronary heart disease: A text messaging intervention
Objective : Medication adherence is a complex behavior that is influenced by numerous factors . Applying self-efficacy theory , the primary aim of this r and omized controlled trial was to compare medication self-efficacy among patients with coronary heart disease who received : ( a ) text messages ( TMs ) for medication reminders and education , ( b ) TMs for education , or ( c ) no TMs .  The second aim was to identify the personal ( sociodemographic and clinical characteristics ) and psychosocial factors that were associated with and predicted medication adherence . Methods : Customized TMs were delivered over 30 days . Repeated measures analysis of variance was used to analyze medication self-efficacy . A multiple regression analysis was performed at baseline and follow-up to determine variables that were associated with and predicted self-reported medication adherence . Results : Among 90 subjects with mean age 59.2 years ( st and ard deviation ( SD ) 9.4 , range 35–83 ) , total scores for medication self-efficacy improved over 30 days ; however , there was no significant difference in this improvement as a function of the different treatment groups ( p=0.64 ) . Controlling for other variables in the model ( age , education , depression , and social support ) , less depression ( p=0.004 ) and higher social support ( p=0.02 ) positively predicted higher medication adherence in the final model . Conclusions : TM medication reminders and /or health education did not improve medication self-efficacy . Further theory testing of current and future models and interventions are required to underst and variables related to self-efficacy and medication adherence . Addressing psychosocial factors such as depression and social support should be a priority to improve medication adherence among patients with coronary heart disease
There is potential for mHealth tools to better facilitate adherence to chronic disease management , but the evidence supporting its current effectiveness is mixed .
BACKGROUND Adherence to chronic disease management is critical to achieving improved health outcomes , quality of life , and cost-effective health care .
As the burden of chronic diseases continues to grow globally , so does the impact of non-adherence .
Mobile technologies are increasingly being used in health care and public health practice ( mHealth ) for patient communication , monitoring , and education , and to facilitate adherence to chronic diseases management .
OBJECTIVE We conducted a systematic review of the literature to evaluate the effectiveness of mHealth in supporting the adherence of patients to chronic diseases management ( " mAdherence " ) , and the usability , feasibility , and acceptability of mAdherence tools and platforms in chronic disease management among patients and health care providers .