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 .
WellDoc mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction.
BACKGROUND Less than 63 % of individuals with diabetes meet professional guidelines target of hemoglobin A1c < 7.0 % , and only 7 % meet combined glycemic , lipid , and blood pressure goals . The primary study aim was to assess the impact on A1c of a cell phone-based diabetes management software system used with web-based data analytics and therapy optimization tools . Secondary aims examined health care provider ( HCP ) adherence to prescribing guidelines and assessed HCPs ' adoption of the technology . METHODS Thirty patients with type 2 diabetes were recruited from three community physician practice s for a 3-month study and evenly r and omized . The intervention group received cell phone-based software design ed by endocrinologists and CDEs ( WellDoc Communications , Inc. , Baltimore , MD ) . The software provided real-time feedback on patients ' blood glucose levels , displayed patients ' medication regimens , incorporated hypo- and hyperglycemia treatment algorithms , and requested additional data needed to evaluate diabetes management . Patient data captured and transferred to secure servers were analyzed by proprietary statistical algorithms . The system sent computer-generated logbooks ( with suggested treatment plans ) to intervention patients ' HCPs . RESULTS The average decrease in A1c for intervention patients was 2.03 % , compared to 0.68 % ( P < 0.02 , one-tailed ) for control patients . Of the intervention patients , 84 % had medications titrated or changed by their HCP compared to controls ( 23 % , P = 0.002 ) . Intervention patients ' HCPs reported the system facilitated treatment decisions , provided organized data , and reduced logbook review time . CONCLUSIONS Adults with type 2 diabetes using WellDoc 's software achieved statistically significant improvements in A1c . HCP and patient satisfaction with the system was clinical ly and statistically significant
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 .