The most commonly described determinants at the patient level were lack of education , lack of self-awareness , lack of self-efficacy , and forgetfulness .
Clinical inertia and an inadequate health workforce were the most commonly targeted determinants at the health care team and system level .
Taking medication , interactive patient-provider communication , self-measurement , and lifestyle management were the most cited patient behaviors at both levels .
Most of the DIs did not include support from peers or family members , despite its reported effectiveness and the rate of social media penetration .
Background Information on how behavior change strategies have been used to design digital interventions ( DIs ) to improve blood pressure ( BP ) control or medication adherence ( MA ) for patients with hypertension is currently limited .
Objective Hypertension is a major modifiable risk factor for cardiovascular diseases and can be controlled with appropriate medication .
Many interventions that target MA to improve BP are increasingly using modern digital technologies .
This systematic review was conducted to discover how DIs have been design ed to improve MA and BP control among patients with hypertension in the recent 10 years .
Mobilizing Your Medications: An Automated Medication Reminder Application for Mobile Phones and Hypertension Medication Adherence in a High-Risk Urban Population
Background : Hypertension frequently accompanies diabetes mellitus , worsening prognosis and complicating medical care for patients . Low medication adherence with multiple medications is a major factor in the inadequate achievement of blood pressure treatment goals . Widespread access to mobile phones offers a new opportunity to communicate with patients and enhance disease self-management . Methods : We recruited 50 high-risk urban patients with hypertension , who are using at least two prescription medications for hypertension , into an open-label trial using medication reminder software on a mobile phone . Medication adherence was assessed by review of pharmacy refill rates before , during , and after availability of the medication reminder software ( pre-activation , activation , and post-activation phase , respectively ) . Results : Forty-eight patients completed the study . All subjects were insured by Medicaid , 96 % were African-American , and the majority had diabetes mellitus . The proportion of days covered for each study phase was as follows : Pre-activation phase = 0.54 , activation phase = 0.58 , and post-activation phase = 0.46 . A significant difference was found between the activation and post-activation phases ( p = .001 ) . The increase in measured adherence between the pre-activation and activation phases approached significance ( p = .057 ) . Forty-six patients completed the pre- and post-Morisky medication adherence survey . The median score rose from 2.0 at baseline to 3.0 at study completion ( p < .001 ) . Average blood pressure and level of control during study period improved significantly after initiation of the study and remained improved from baseline through the course of the study . The 48 subjects who completed the study reported a high level of satisfaction with the medication reminder application at the final study visit . Conclusions : A mobile-phone-based automated medication reminder system shows promise in improving medication adherence and blood pressure in high-cardiovascular-risk individuals
The most commonly described determinants at the patient level were lack of education , lack of self-awareness , lack of self-efficacy , and forgetfulness .
Clinical inertia and an inadequate health workforce were the most commonly targeted determinants at the health care team and system level .
Taking medication , interactive patient-provider communication , self-measurement , and lifestyle management were the most cited patient behaviors at both levels .
Most of the DIs did not include support from peers or family members , despite its reported effectiveness and the rate of social media penetration .
Background Information on how behavior change strategies have been used to design digital interventions ( DIs ) to improve blood pressure ( BP ) control or medication adherence ( MA ) for patients with hypertension is currently limited .
Objective Hypertension is a major modifiable risk factor for cardiovascular diseases and can be controlled with appropriate medication .
Many interventions that target MA to improve BP are increasingly using modern digital technologies .
This systematic review was conducted to discover how DIs have been design ed to improve MA and BP control among patients with hypertension in the recent 10 years .