eHealth Interventions of Health Literacy for Stroke Survivors: Systematic Review and Meta‐Analysis

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ABSTRACT

Background

eHealth literacy interventions have emerged as a new approach in management of stroke survivors. Its effect on knowledge and clinical outcomes presents an inconsistent result in literature.

Objectives

We aim to evaluate the impact of eHealth interventions on health literacy, clinical metrics, adherence to healthy behaviors, stroke recurrence, mortality, and health‐related quality of life in stroke survivors.

Methods

We systematically searched six databases (PubMed, Cochrane Library, CINAHL, EMBASE, Web of Science, ProQuest) up to February 21, 2024, selecting articles that meet these criteria: (i) patients with stroke; (ii) intervention with education content; (iii) eHealth interventions included telehealth, mobile phone, internet or computer; (iv) randomized controlled trials. The mean differences (MD) and standardized mean differences (SMD) between groups were measured. Risk of bias was evaluated using the Cochrane tool.

Results

From 16 studies involving 9646 participants, we observed that eHealth interventions significantly improved systolic blood pressure (MD = −2.78 mmHg, 95% confidence interval (CI) [−4.67 to −0.88], p = 0.004), medication adherence (SMD = 0.28, 95% CI [0.04 to 0.52], p = 0.023), and health‐related quality of life (SMD = 0.21, 95% CI [0.04 to 0.37], p = 0.013). Meta‐regression found that age modified the effect size of systolic blood pressure ( p = 0.027). There was insufficient evidence to conclude effects on other outcomes. The quality of evidence was moderate. Outcome variation may be due to the diversity in eHealth intervention approaches. The limited number of studies precluded the subgroup analysis. More interactive interventions with longer follow‐ups were more effective.

Conclusions

eHealth interventions may benefit stroke survivors in terms of blood pressure, medication adherence, and health‐related quality of life.

Implications for Nursing Policy

eHealth literacy interventions could be implemented to improve the management of stroke survivors, especially in the context of resource limitations.

Trial Registration

PROSPERO registration number: CRD42024502470

Related collections

Most cited references 46

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Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate

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This article deals with inconsistency of relative (rather than absolute) treatment effects in binary/dichotomous outcomes. A body of evidence is not rated up in quality if studies yield consistent results, but may be rated down in quality if inconsistent. Criteria for evaluating consistency include similarity of point estimates, extent of overlap of confidence intervals, and statistical criteria including tests of heterogeneity and I(2). To explore heterogeneity, systematic review authors should generate and test a small number of a priori hypotheses related to patients, interventions, outcomes, and methodology. When inconsistency is large and unexplained, rating down quality for inconsistency is appropriate, particularly if some studies suggest substantial benefit, and others no effect or harm (rather than only large vs. small effects). Apparent subgroup effects may be spurious. Credibility is increased if subgroup effects are based on a small number of a priori hypotheses with a specified direction; subgroup comparisons come from within rather than between studies; tests of interaction generate low P-values; and have a biological rationale. Copyright © 2011 Elsevier Inc. All rights reserved.

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Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Gangzhen Qian, Javad Sharifi-Rad, Patrick Wen … (2024)

Summary Background Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. Methods The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. Findings Global DALYs increased from 2·63 billion (95% UI 2·44–2·85) in 2010 to 2·88 billion (2·64–3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7–17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8–6·3) in 2020 and 7·2% (4·7–10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0–234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7–198·3]), neonatal disorders (186·3 million [162·3–214·9]), and stroke (160·4 million [148·0–171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3–51·7) and for diarrhoeal diseases decreased by 47·0% (39·9–52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54–1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5–9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0–19·8]), depressive disorders (16·4% [11·9–21·3]), and diabetes (14·0% [10·0–17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7–27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6–63·6) in 2010 to 62·2 years (59·4–64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6–2·9) between 2019 and 2021. Interpretation Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. Funding Bill & Melinda Gates Foundation.

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Author and article information

Contributors

Mai Thi Thuy Vu: (View ORCID Profile)

Hung Quang Ho: (View ORCID Profile)

Gong‐Hong Lin: (View ORCID Profile)

Journal

Title: Public Health Nursing

Abbreviated Title: Public Health Nursing

Publisher: Wiley

ISSN (Print): 0737-1209

ISSN (Electronic): 1525-1446

Publication date (Electronic): September 29 2024

Affiliations

[1 ] International Ph.D. Program in Gerontology and Long‐Term Care, College of Nursing Taipei Medical University Taipei City Taiwan

[2 ] Nam Dinh University of Nursing Nam Dinh City Vietnam

[3 ] International Ph.D. Program in Medicine Taipei Medical University Taipei City Taiwan

[4 ] Rehabilitation Department Cho Ray Hospital Ho Chi Minh City Vietnam

Article

DOI: 10.1111/phn.13432

SO-VID: 2d285324-d112-4f74-a463-bfef92571913

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http://onlinelibrary.wiley.com/termsAndConditions#vor

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