Nouran Hamza , Wael Hafez , Sara Adel Abdelkader Saed , Marina Raouf , Nesma Magdi , Sahar Allam , Rahma Sweedy , Dina Alaraby , Marwa Muhammed Abdeljawad , Nouran A. Taha
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引用次数: 0
Abstract
Background
The complexity and burden of hypertension management necessitate innovative strategies to improve care quality and patient outcomes. Our meta-analysis aimed to evaluate the impact of e-health interventions on hypertension patients' quality of life and medication adherence.
Methods
A systematic review and meta-analysis were conducted using medical electronic databases for literature published before June 30, 2023. Studies investigating the efficacy of mobile health applications on the quality of life of hypertension patients were included. We extracted the studies’ characteristics, patient descriptions, and efficacy outcomes of mobile health applications. Quality assessment was done using ROB 2 and ROBINS-I V2. A meta-analysis was conducted using RevMan software.
Results
The intervention significantly decreased the standardized mean difference of the systolic blood pressure (SBP) measures compared to the control (SMD=-0.43; 95 % CI= -0.52, -0.17; p < 0.01). Additionally, it significantly increased the odds of blood pressure control (OR=3.05; 95 %CI=1.42, 6.54; p < 0.01). The heterogeneity was high; therefore, sensitivity and subgroup analyses were conducted: The intervention significantly increased the quality of life score of hypertension patients compared to the control (SMD=0.19; 95 % CI=0.04, 0.33; p = 0.01). It also significantly decreased the SMD of the SBP change from baseline and the diastolic blood pressure change from baseline compared to the control [(SMD=-4.29; 95 % CI= -5.05, -3.52; p < 0.01), (SMD=-2.75; 95 % CI= -4.06, -1.45; p < 0.01), respectively].
Conclusion
Our study demonstrates the efficacy of e-health interventions in promoting hypertension self-management, highlighting their potential as a scalable and accessible tool among the mobile phone-using population.
Public Interest Summary
Hypertension is a serious disease with severe complications if left uncontrolled. Our goal was to collect all available data on using mobile health applications in hypertension patients to facilitate their medication adherence and thus improve their quality of life. Our results show a noticeable enhancement in blood pressure control and increased patients’ quality of life after using these mobile health applications. This synthesized evidence can help patients and their healthcare providers recognize the strong efficacy and promising outcomes of these applications across multiple studies, which can ultimately lead to widespread utilization and more benefits to patients.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics