Effect of a Telemedicine Model on Patients With Heart Failure With Reduced Ejection Fraction in a Resource-Limited Setting in Vietnam: Cohort Study.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2025-03-19 DOI:10.2196/67228
Hoai Thi Thu Nguyen, Hieu Ba Tran, Phuong Minh Tran, Hung Manh Pham, Co Xuan Dao, Thanh Ngoc Le, Loi Doan Do, Ha Quoc Nguyen, Thom Thi Vu, James Kirkpatrick, Christopher Reid, Dung Viet Nguyen
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Abstract

Background: Heart failure (HF) is a complex, life-threatening condition marked by high morbidity, mortality, reduced functional capacity, poor quality of life, and substantial health care costs. HF with reduced ejection fraction (HFrEF) represents the subgroup of HF with the highest risks of mortality and hospitalization, necessitating the prioritization of care and management models to optimize treatment outcomes in these patients. Currently, data on the effectiveness of telemedicine models in resource-limited settings, such as low- and middle-income countries, are scarce.

Objective: This study aimed to evaluate the impact of telemedicine on improving prognosis in patients with HFrEF in Vietnam.

Methods: In this prospective cohort study, we recruited patients who received either remote monitoring and management (telemedicine) or standard monitoring and management (usual care) in the outpatient department of the Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam. Eligible patients were ≥18 years old, had a diagnosis of HFrEF defined as left ventricular ejection fraction (LVEF) ≤40%, had a history of HF hospitalization within the past 12 months, and presented with clinical symptoms classified as New York Heart Association (NYHA) II or III. The primary composite outcome was defined as the time to the first unplanned HF hospitalization or all-cause mortality. The follow-up period for all outcomes extended to 12 months.

Results: In total, 426 patients (298/426, 70% male; 128/426, 30% female) with a mean age of 61.3 (SD 14.6) years and a mean LVEF of 32.1% (SD 6.0%) were included in our study. Of these patients, 121 received telemedicine care, while 305 received usual care. The primary outcome occurred in 23 (23/121, 19%) patients in the telemedicine group and 82 (82/305, 26.9%) patients in the usual care group during the follow-up period, indicating a significant reduction in risk (adjusted hazard ratio [aHR] 0.57, 95% CI 0.35-0.94; P=.03). However, this effect was primarily driven by a significant reduction in unplanned HF hospital admissions (aHR 0.57, 95% CI 0.33-0.98; P=.04) rather than in all-cause mortality (aHR 0.77, 95% CI 0.36-1.63; P=.49).

Conclusions: This study demonstrates that a simplified telemedicine model, even in resource-limited settings such as Vietnam, can effectively facilitate the remote monitoring and management of patients with HFrEF, resulting in significant reductions in HF-related hospitalizations and all-cause mortality.

Trial registration: National Agency for Science and Technology Information (NASATI), Vietnam CT07/01-2022-3; https://nsti.vista.gov.vn/projects/dth/xay-dung-mo-hinh-theo-doi-va-tu-van-suc-khoe-tim-mach-tu-xa-tai-thanh-pho-ha-noi-109276.html.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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