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Home Blood Pressure Telemonitoring and Hypertension Management in Kenya: A Feasibility Study (HBPT-K) Cover

Home Blood Pressure Telemonitoring and Hypertension Management in Kenya: A Feasibility Study (HBPT-K)

Open Access
|Jan 2026

Figures & Tables

Table 1

Baseline data and demographics of the included patients.

INCLUSION CRITERIAEXCLUSION CRITERIA
Age ≥ 18 yearsPersistent atrial fibrillation as indicated in the health record
Newly diagnosed or confirmed hypertension patients with BP > 140/90 mmHgPregnant or planning to become pregnant during the study period
Have or have access to a smartphone with internet access throughout the study periodSevere kidney disease, defined as estimated glomerular filtration rate < 30 per 1.73 m2 or currently on renal replacement therapy (i.e., hemodialysis or peritoneal dialysis)
Able to provide written informed consent prior to participation in the studyRecent cardiovascular event (ischemic stroke, transient ischemic attack, myocardial infarction, coronary artery bypass grafting) in the past three months
Diagnosis of dementia, psychosis, as indicated in the health record
Life expectancy < 1 year; for instance, in terminal cancer or NYHA III or IV heart failure
Individuals requiring BP monitor cuff size larger than 42 cm
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Figure 1

Telemonitoring organization and alert processing. Patients measure their BP at home using a validated BP machine. These measurements can trigger simple, complex, or inactive/overdue alerts. These alerts are either processed automatically by the telemonitoring platform or manually by a healthcare provider in the hospital. Feedback to the patients is provided automatically by the telemonitoring platform (e.g., a protocol switch) or manually by the E-nurse (e.g., a treatment adjustment).

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Figure 2

Study flowchart.

Table 2

Baseline data and demographics of the included patients.

Total number of study participants84
Age, mean (SD)54 (14)
Female, n (%)61 (73%)
Hypertension, n (%)84 (100%)
Diabetes, n (%)5 (6%)
Smoking, n (%)2 (2%)
Table 3

Blood pressure data, antihypertensive drug use, and consultations.

% of patients with BP < 140/90 mmHg at baseline0%
% of patients with BP < 140/90 mmHg at six months72%P < 0.0001*
Baseline systolic BP mmHg (mean, SD)157 (18)
T = 6 months systolic BP mmHg (mean, SD)128 (12)P < 0.0001**
Baseline diastolic BP mmHg (mean, SD)97 (8)
T = 6 months diastolic BP mmHg (mean, SD)82 (12)P < 0.0001**
Number of antihypertensives baseline (median, IQR)2 (2–3)
Number of antihypertensives six months (median, IQR)3 (2–3)
Number of physical consultations during study period (median, IQR), not including baseline and T = 6-month study visit1 (0–2)

[i] * = McNemar test for proportions; ** = paired T-test.

Table 4

Telemonitoring data.

Telemonitoring participation
Total average days active in the HBPT program in days (months)276 (9.2)
Total individual measurements (heart rate, systolic BP, diastolic BP)28785
Total combined measurements (heart rate, systolic BP, diastolic BP combined in one single measurement)9595
Total combined measurements per participating patient114
Average measurement schedule adherence*22%
Telemonitoring alerts
Total alerts1677
Simple alerts930 (55%)
Complex alerts747 (45%)
Total alerts per patient20
Telemonitoring alert processing
Alerts auto processed by telemonitoring platform (% total alerts)579 (35%)
Manual alerts processed (% total alerts)1098 (65%)
    Administrative action (% total manually processed alerts)612 (56%)
    Contacted via phone (% total manually processed alerts)339 (31%)
    Contacted via message (% total manually processed alerts)9 (1%)
    Clinical action (% total manually processed alerts)138 (12%)
Telemonitoring time investment
Phone (5 min), minutes, average per patient20.2
Message (5 min), minutes, average per patient0.5
Clinical action (10 min), minutes, average per patient16.4
Administrative action (2 min), minutes, average per patient14.6
Total average time investment (minutes) per patient during 9.2 months of telemonitoring51.7

[i] *515 measurements were expected based on an average bi-weekly measurement week with 28 combined measurements for a period of 9.2 months. Adherence was calculated by dividing the average combined number of measurements by the expected number of measurements (114/515).

DOI: https://doi.org/10.5334/gh.1516 | Journal eISSN: 2211-8179
Language: English
Submitted on: Jun 10, 2025
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Accepted on: Jan 5, 2026
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Published on: Jan 14, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Job van Steenkiste, Lilian Mbau, Helen Nguchu, Kennedy Okinda, Ruben de Neef, Bernard Samia, Daan Dohmen, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 21 (2026): Issue 1