Barsky et al. [47] |
2019 |
Canadian Aboriginal and Tanzanian communities |
SMS-text-messaging-based system for blood pressure measurement and hypertension management |
rural |
Mobile health (SMS text messaging) |
Monitoring blood pressure |
mixed methods |
n/a |
Canada and East Africa |
wireless, Bluetooth |
Difference in blood pressure reduction for active hypertension management messages or passive health behavior messages
Quantitative data on blood pressure reading transmissions
Qualitative data collected on the operational aspects of the system from healthcare providers, participants, and community leadership
|
Naqvi et al. [48] |
2022 |
Acute stroke patients with hypertension |
TASC (Telehealth After Stroke Care) |
Urban |
home blood pressure telemonitoring |
Monitoring blood pressure |
Pilot randomized trial |
n/a |
Northern Manhattan |
Tablet and monitor |
|
Vedanthan et al. [49] |
2015 |
nurses |
Tablet-based Decision Support and Integrated Record keeping (DESIRE) tool |
rural |
Mobile health (mHealth) |
management of hypertension |
investigative study |
n/a |
Rural Western Kenya |
tablet |
|
Dos Santos et al. [50] |
2013 |
professionals and hypertensive patients |
Education program |
rural |
Web conference |
Increase the adherence to the treatment of hypertension. |
before–after study |
2 |
Brazil |
n/a |
Adherence to antihypertensive drugs
Adherence to low-salt diet
Adherence to physical activity
|
Buis et al. [51] |
2020 |
people with hypertension, medical assistants, physicians, a nurse, and the current and former director of the Family Medicine clinic |
BPTrack |
urban and rural |
Mobile health (mHealth) |
Home blood pressure monitoring |
pre-post pilot study |
1 |
USA |
mobile applications |
|
Koopman et al. [52] |
2014 |
patients, nurses, and physicians |
Home blood pressure telemonitoring |
n/a |
Electronic medical record and home blood pressure telemonitoring |
blood pressure monitoring |
qualitative study |
6 |
South America |
USB computer connection, dedicated telemonitoring device with an analog phone line |
Blood glucose levels
Blood pressure levels
|
Parker et al. [53] |
2018 |
hypertension patients |
text based telemonitoring system |
n/a |
Home blood pressure telemonitoring |
blood pressure monitoring |
prospective cohort study |
37 |
South-East Scotland |
automatic-transmission system |
|
Fisher et al. [54] |
2019 |
hypertension patients |
A home-based BP control program |
n/a |
telemonitoring |
blood pressure monitoring |
prospective cohort implementation |
n/a |
USA |
home monitors |
|
Ma et al. [55] |
2022 |
Chinese hypertensive patients |
Smartphone-enhanced nurse-facilitated self-care intervention |
urban |
mobile health |
hypertension management |
Randomized controlled trial with a repeated-measures design |
2 |
China |
smartphone |
Body weight
Body mass index
Diastolic blood pressure
Waist circumference
Self-care behavior
Self-care motivation
Self-care self-efficacy
Systolic blood pressure
|
Levine et al. [56] |
2018 |
primary care patients with hypertension |
virtual visits |
n/a |
asynchronous online |
hypertension management |
propensity-score-matched, retrospective cohort study with adjustment by difference in differences |
n/a |
USA |
n/a |
Adjusted difference in mean systolic blood pressure
Emergency department visits
Specialist office visits
Primary care office visits
Inpatient admissions
|
Ashjian et al. [57] |
2019 |
hypertensive patients |
an interactive voice response (IVR) |
n/a |
Electronic health record |
home blood pressure monitoring |
observational study |
14 |
USA |
Aspect Patient Engagement Solution and Microsoft Dynamics 365 platforms |
|
De Luca et al. [58] |
2021 |
patients diagnosed with hypertension and professionals |
integrated management hypertension |
n/a |
digitally enabled integrated approach (HER), smartphone, computer |
hypertension management |
user-centered approach |
n/a |
Europe |
n/a |
Functional requirements
Use cases
|
Chen et al. [59] |
2023 |
individual |
online health management |
urban |
internet based |
hypertension management |
longitudinal study |
n/a |
China |
n/a |
|
Jindal et al. [60] |
2018 |
people with hypertension and diabetes along with comorbid conditions |
Smartphone application (mWellcare) |
rural |
mobile health |
integrated management of hypertension |
n/a |
5 |
India |
tablet-computer-based application |
Acceptability
Feasibility
|
Doocy et al. [61] |
2017 |
people aged 40 years or older with hypertension |
Mobile health app |
urban |
mobile health |
improve adherence to guidelines and quality of care |
a longitudinal cohort study |
10 |
Lebanon |
tablets |
Adherence to medication
Recording of Blood Pressure (BP) readings
Recording of blood sugar measurements
Recording of Body Mass Index (BMI) reporting
Proportion of patients for whom blood sugar, BP, weight, height, and BMI were recorded using the tablet compared with in-paper records
Proportion of providers offering lifestyle counseling
Provider inquiry of medical history
Patient report of provider inquiry regarding medication complications
|
Leon et al. [62] |
2015 |
female and male participants in South Africa aged 36 to 78 years old |
SMS texts |
n/a |
mobile health |
improve adherence to clinic visits and treatment |
an individually randomized controlled trial |
1 |
South Africa |
Mobile phone |
|
Buis et al. [63] |
2017 |
African American patients with uncontrolled hypertension |
automated text message |
urban |
mobile health |
improve medication adherence among African Americans with uncontrolled HTN |
unblinded randomized controlled pilot trials |
2 |
USA |
n/a |
Diastolic Blood Pressure (DBP)
Medication adherence
Systolic Blood Pressure (SBP)
Medication adherence self-efficacy
Participant satisfaction
|
Cottrell et al. [17] |
2015 |
patients and clinicians in a national primary care population in England |
Text messaging (‘Florence’) |
n/a |
mobile health |
for diagnosis and management hypertension |
evaluation study |
n/a |
UK |
Mobile phone |
|
Ju et al. [64] |
2022 |
Patients aged ≥19 years were diagnosed with hypertension, diabetes, dyslipidemia, or metabolic syndrome |
mobile self-management healthcare app |
n/a |
Mobile health |
management of chronic conditions |
pilot multicenter real world study |
17 |
Republic of Korea |
mobile app |
Anxiety
Body weight
Sleep quality
Sleep duration
Quality of life
Depression
Stress
BMI
Waist circumference
Blood sugar levels
Blood pressure
Blood lipid levels
|
Nurakysh et al. [65] |
2022 |
patients with diagnosed arterial hypertension |
Mobile application “MyTherapy” |
n/a |
mobile health |
evaluation of the degree of adherence of patients determined to have hypertension to treatment |
a multicenter randomized controlled study |
1 |
Kazakhstan |
mobile phone app |
|
Manusov et al. [66] |
2019 |
people with chronic illness, obesity, hypertension, hypercholesterolemia, hypertriglyceridemia, and depression |
UniMóvil, a mobile health clinic |
rural |
mobile health |
improve poor healthcare access delivery |
a retrospective review of the cohort |
1 |
USA |
n/a |
|
Lee et al. [67] |
2022 |
people aged 18 to 75 years, predominantly female, within the University of Pennsylvania Health Systems |
remote blood pressure monitoring |
urban |
Electronic health record |
remote blood pressure monitoring |
cohort study |
n/a |
USA |
n/a |
Number of EHR alerts for persistently elevated BP home readings
Number of alerts that clinicians acted on
Percentage of alerts that clinicians acted on
Type of management used by clinicians (remote or office based)
Number of alerts that did not result in changes to the care plan
Reasons for not changing the care plan
|
Marcolinoet al. [68] |
2021 |
people in Brazil, 71% of which were female, consisting of physicians and nurses |
teleconsultation |
urban and rural |
Asynchronous |
hypertension management |
mixed methods |
34 |
Brazil |
Web-based |
Perceived feasibility
Usability
Utility
Satisfaction
|
Peters et al. [69] |
2017 |
hypertensive patients aged above 18 years |
phone call and short-message-service text messaging |
n/a |
mobile health |
blood pressure control |
quality improvement study |
1 |
USA |
Mobile phone |
|
Debon et al. [70] |
2020 |
female humans in Brazil with arterial hypertension who were workers or retirees |
use of a mobile health app |
n/a |
mobile health |
monitoring patients with arterial hypertension (AH) |
a non-randomized, controlled, non-blind trial |
n/a |
Brazil |
smartphone |
Systolic and diastolic Blood Pressure
Food Frequency Questionnaire
Appraisal Of Self Care Agency Scale
Hemogram
Creatinine
Uric Acid
Sodium
Potassium
Lipid Profile
Glycemia
|
Davoudi et al. [71] |
2020 |
adults with poorly controlled hypertension |
an automated text messaging |
n/a |
mobile health |
hypertension management |
secondary analysis of data from a randomized controlled trial |
1 |
USA |
n/a |
|
McManuset al. [72] |
2021 |
people with treated but poorly controlled hypertension (>140/90 mm Hg) and access to the internet |
Home and Online Management |
n/a |
Home blood pressure telemonitoring |
hypertension management |
randomized controlled trial |
76 |
UK |
Omron |
|
Chew et al. [73] |
2023 |
patients and clinical staff |
a remote blood pressure monitoring program |
urban |
Home blood pressure telemonitoring |
blood pressure monitoring |
a secondary qualitative study |
n/a |
Singapura |
a Bluetooth-enabled device |
A better patient–provider partnership based on the mutually trusted data
Patients felt reassured
Patients trusted the telehealth program
Staff felt that the data were trustworthy
Patients’ distrust of technology
Clinicians’ concerns about the limitations of technologically mediated interactions
Uncertainty experiences
|
Anderssonet al. [74] |
2021 |
patients and 15 professionals |
interactive web-based system |
Urban and rural |
mobile health |
strengthening patients’ potential for self-management |
qualitative substudy of a randomized controlled trial |
n/a |
Sweden |
Mobile phone |
Partnership between patients and healthcare professionals
Documentation of BP treatment
Roles of patients and professionals in hypertension management
Knowledge of BP values and their relation to daily activities and treatment
Patients’ understanding of hypertension
Communication regarding BP and lifestyle
|
Kassavou et al. [75] |
2019 |
healthcare providers, commissioners, and patients with either hypertension or both hypertension and type 2 diabetes |
highly tailored text and voice message |
n/a |
mobile health |
to increase adherence to medication in primary care |
descriptive and interventional study |
n/a |
UK—England |
Mobile phone |
Adherence to medication
Intervention engagement
Fidelity of intervention content
Awareness about the necessity to take and maintain adherence to medication
Reinforced social support and habit formation
Reminded patients to take medication as prescribed
|
Cottrell et al. [76] |
2015 |
patients and professional users in England with hypertension, CKD, and diabetes |
text messages |
n/a |
mobile health |
support self-management and education using technology with which patients are already familiar |
evaluation study |
425 |
UK |
Mobile phone |
Agreement with the adapted friends and family statement
Professional and patient user satisfaction with the aim for health program
Patient activity using florence
Minimum target days of texting for hypertension protocols
Patient responses to evaluative texts
Professional user satisfaction with the program
|
Abdullah et al. [77] |
2016 |
patients with hypertension and comorbidities |
a blood pressure telemonitoring service |
urban |
home BP telemonitoring |
blood pressure monitoring |
a qualitative study design |
n/a |
Malaysia |
MediHome Digital Blood Pressure and Pulse Oximeter 2-in-1 Monitor |
Patients’ acceptance of a BP telemonitoring service delivered in primary care
Patients’ views and experiences of the BP telemonitoring service
Patients’ struggles with the perceived usefulness of the BP telemonitoring service
Patients’ confusion in making sense of the monitored home BP readings
Patients’ feedback on the BP telemonitoring functionalities to improve interactions
Patients’ thoughts about the implications of the monitored home BP readings for their hypertension management and overall health
|
Nau et al. [78] |
2021 |
patients aged 40–70 years |
videos, web-based education, and text message |
urban |
mobile health |
To support patients with improving lifestyle behaviors for high blood pressure |
pilot study |
n/a |
Australia |
Mobile phone |
|
Ye et al. [79] |
2022 |
patients with hypertension aged between 18 and 85 years |
video and telephone |
urban |
telemedicine visit |
controlling high blood pressure |
retrospective cohort study |
n/a |
South America |
n/a |
|
Calderón et al. [80] |
2023 |
patient with hypertension |
SMS-based home BP telemonitoring system |
urban |
home bp telemonitoring |
helps improve adherence to treatment, also improving disease awareness |
randomized controlled trial |
1 |
Peru |
omron |
|
Sin et al. [81] |
2020 |
People aged 21–70 years old in Singapore with Type 2 DM and/or hypertension |
Telemonitoring |
urban |
telemonitoring |
diabetes and hypertension management |
cross-sectional survey |
2 |
Singapura |
n/a |
|
Cimini et al. [82] |
2022 |
primary care physicians, one nurse, one pharmacist, and one community health worker |
a digital solution with a decision support system (DSS) for community health workers (CHWs) |
n/a |
telemedicine with video consultations |
To address and identify at risk patients with uncontrolled hypertension or diabetes mellitus (DM) |
multimethodological |
34 |
Brazil |
video consultation |
|
Shaw et al. [83] |
2013 |
US stakeholders including physicians, nurses, non-physician providers, administrators, and an IT professional with hypertension |
nurse-delivered self-management phone |
urban and rural |
telephone counselling |
initiating and maintaining specific health behaviors related to hypertension |
mixed methods approach |
3 |
USA |
n/a |
Level of organizational readiness to implement the intervention
Specific barriers, facilitators, and contextual factors that may affect organizational readiness to change
Organizational barriers and facilitators of successful implementation
|
Grant et al. [84] |
2019 |
people in the West Midlands, UK with hypertension, including patients, healthcare professionals, and patient caregivers |
Text message |
urban and rural |
mobile health |
blood pressure monitoring |
randomized controlled trial |
n/a |
UK |
mobile platform |
|
Saleh et al. [85] |
2018 |
Lebanese hypertensive |
Short message service (SMS) |
rural |
mobile health |
enhance access among underserved rural and refugee populations to health services specific to hypertension and/or diabetes. |
mixed methods |
n/a |
Lebanon |
Mobile phone |
Perceived usefulness of SMSs
Perceived ease of reading and understanding SMSs
Compliance with SMSs through daily behavioral modifications
Receiving and not reading SMSs
Behavior change across settings
|
Vitório et al. [86] |
2019 |
hypertensive patients |
TeleHAS (tele-hipertensão arterial sistêmica, or arterial hypertension system) |
urban |
computerized clinical decision support system (CDSS) |
hypertension management |
Mixed methods |
88 |
Brazil |
n/a |
Feasibility
Usability
Utility
|
Teo et al. [87] |
2021 |
middle-aged people in Asia with hypertension |
Home blood pressure monitoring |
urban |
Home blood pressure monitoring, teleconsultation |
hypertension management |
a mixed-methods field study |
n/a |
Singapura |
Bluetooth |
Blood pressure control
Cost-effectiveness
Patient satisfaction
|