Long-term effects of e-Health secondary prevention on cardiovascular health: a systematic review and meta-analysis

Author:

Su Jing Jing123ORCID,Liu Justina Yat Wa134ORCID,Cheung Daphne Sze Ki134ORCID,Wang Shanshan123ORCID,Christensen Martin13ORCID,Kor Patrick Pui Kin123ORCID,Tyrovolas Stefanos12356ORCID,Leung Angela Yee Man1234ORCID

Affiliation:

1. School of Nursing, The Hong Kong Polytechnic University , 11 Yuk Choi Rd, Hung Hom, Kowloon 999077 , Hong Kong

2. World Health Organization for Community Health Services, School of Nursing, The Hong Kong Polytechnic University , 11 Yuk Choi Rd, Hung Hom, Hong Kong SAR, China

3. Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University , 11 Yuk Choi Rd, Hung Hom , Hong Kong

4. Research Institute for Smart Ageing, The Hong Kong Polytechnic University , 11 Yuk Choi Rd, Hung Hom, Hong Kong SAR 999077 , China

5. Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu , 08830 Sant Boi de Llobregat, Spain

6. Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental , CIBERSAM, 28029 Madrid, Spain

Abstract

Abstract Aims Despite the well-documented short-to-medium-term effectiveness of e-Health (electronic health) secondary prevention interventions on patients with cardiovascular disease (CVD), there is limited empirical evidence regarding long-term effectiveness. This review aims to evaluate the long-term effects of e-Health secondary prevention interventions on the health outcomes of patients with CVD. Methods and results This systematic review and meta-analysis followed Cochrane Handbook for Systematic Reviews of Interventions. EMBASE, Medline, Web of Science, and Scopus were searched from 1990 to May 2022. Randomized controlled trials investigating the effects of e-Health secondary prevention on health outcomes of CVD patients that collected endpoint data at ≥ 12 months were included. RevMan 5.3 was used for risk of bias assessment and meta-analysis. Ten trials with 1559 participants were included. Data pooling suggested that e-Health programmes have significantly reduced LDL cholesterol [n = 6; SMD = −0.26, 95% confidence interval (CI): (−0.38, −0.14), I2 = 17%, P < 0.001]; systolic blood pressure [n = 5; SMD = −0.46, 95% CI: (−0.84, −0.08), I2 = 90%, P = 0.02]; and re-hospitalization, reoccurrence, and mortality [risk ratio = 0.36, 95% CI: (0.17, 0.77), I2 = 0%, P = 0.009]. Effects on behavioural modification, physiological outcomes of body weight and blood glucose, and quality of life were inconclusive. Conclusion e-Health secondary prevention is effective in improving long-term management of risk factors and reducing the reoccurrence of cardiac events in patients with CVD. Results are inconclusive for behaviour modification and quality of life. Exploring, implementing, and strengthening strategies in e-Health secondary prevention programmes that focus on maintaining behaviour changes and enhancing psychosocial elements should be undertaken. Registration PROSPERO CRD42022300551.

Publisher

Oxford University Press (OUP)

Subject

Advanced and Specialized Nursing,Medical–Surgical Nursing,Cardiology and Cardiovascular Medicine

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