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 .
Cluster-Randomized Trial of a Mobile Phone Personalized Behavioral Intervention for Blood Glucose Control
OBJECTIVE To test whether adding mobile application coaching and patient/provider web portals to community primary care compared with st and ard diabetes management would reduce glycated hemoglobin levels in patients with type 2 diabetes . RESEARCH DESIGN AND METHODS A cluster-r and omized clinical trial , the Mobile Diabetes Intervention Study , r and omly assigned 26 primary care practice s to one of three stepped treatment groups or a control group ( usual care ) . A total of 163 patients were enrolled and included in analysis . The primary outcome was change in glycated hemoglobin levels over a 1-year treatment period . Secondary outcomes were changes in patient-reported diabetes symptoms , diabetes distress , depression , and other clinical ( blood pressure ) and laboratory ( lipid ) values . Maximal treatment was a mobile- and web-based self-management patient coaching system and provider decision support . Patients received automated , real-time educational and behavioral messaging in response to individually analyzed blood glucose values , diabetes medications , and lifestyle behaviors communicated by mobile phone . Providers received quarterly reports summarizing patient ’s glycemic control , diabetes medication management , lifestyle behaviors , and evidence -based treatment options . RESULTS The mean declines in glycated hemoglobin were 1.9 % in the maximal treatment group and 0.7 % in the usual care group , a difference of 1.2 % ( P = 0.001 ) over 12 months . Appreciable differences were not observed between groups for patient-reported diabetes distress , depression , diabetes symptoms , or blood pressure and lipid levels ( all P > 0.05 ) . CONCLUSIONS The combination of behavioral mobile coaching with blood glucose data , lifestyle behaviors , and patient self-management data individually analyzed and presented with evidence -based guidelines to providers substantially reduced glycated hemoglobin levels over 1 year
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 .