Key result
Chatbot-based hypertension management lowers systolic blood pressure by ~8 mmHg vs. usual care in older adults.
Why the study?
Hypertension remains poorly controlled among older adults because self-care support between outpatient visits is rarely sustained.
Does a 12-week chatbot-based hypertension management program improve blood pressure control, knowledge, medication adherence, and health behaviors in community-dwelling older adults compared to usual care?
Does a 12-week chatbot-based hypertension management program improve blood pressure control, knowledge, medication adherence, and health behaviors in community-dwelling older adults compared to usual care?
Absolute Event Rate: 127.43% vs 135.8%
p-value: p=0.009
A chatbot-supported management program significantly improves self-care, medication adherence, and blood pressure control in community-dwelling older adults with hypertension compared to usual care.
Chatbot programs may improve BP control and adherence in older adults; hypothesis-generating and requires randomized confirmation before practice change.
Aim: Hypertension remains poorly controlled among older adults because self-care support between outpatient visits is rarely sustained. This study evaluated the effectiveness of a chatbot-based hypertension management program on knowledge, health behaviors, medication adherence, blood pressure control, and selected biomarkers among community-dwelling older adults with hypertension. Design: Quasi-experimental study. Methods: A two-group pretest-posttest design was conducted in two healthcare settings: the experimental group was recruited from a tertiary hospital outpatient department and the control group from a primary care health promoting hospital. Sixty-eight participants were recruited using consecutive sampling and assigned to an experimental group (n = 34) or a control group (n = 34). The experimental group received a 12-week chatbot-based program combining education, behavioral monitoring, and lifestyle counseling. The control group received usual care using a hypertension education manual. Outcomes were assessed at baseline and after 12 weeks. Results: The experimental group showed improvements in hypertension-related knowledge, health behaviors, medication adherence, and blood pressure control. The control group showed no improvement in systolic and a rise in diastolic blood pressure. After adjustment for baseline values and for the demographic characteristics that differed at baseline, the experimental group demonstrated better knowledge (p = 0.002), health behaviors (p = 0.018), medication adherence (p< 0.001) and blood pressure control than the control group (adjusted systolic 127.43 compared to 135.80 mmHg, p = 0.009; adjusted diastolic 69.61 compared to 80.36 mmHg, p< 0.001). No significant adjusted between-group differences in biomarkers were observed. Conclusion: A chatbot-supported hypertension management program was associated with better self-management and blood pressure control among community-dwelling older adults, although the non-randomized design and recruitment from different settings mean that the findings are preliminary. Longer follow-up is needed to determine effects on biological indicators. Randomized designs are recommended in future studies to strengthen the generalizability of the findings.
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Ransinyo et al. (2026) studied Hypertension (n=68). Chatbot-based hypertension management program vs. Usual care was evaluated on Adjusted systolic blood pressure at 12 weeks (p=0.009). A 12-week chatbot-based hypertension management program significantly lowered adjusted systolic blood pressure to 127.43 mmHg compared to 135.80 mmHg with usual care in older adults.
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