Yun-Xia Ni, Xue-Hui Liu, Li He, Ya Wen, Gui-Ying You
{"title":"针对心力衰竭患者的移动应用干预:系统回顾与元分析","authors":"Yun-Xia Ni, Xue-Hui Liu, Li He, Ya Wen, Gui-Ying You","doi":"10.1155/2024/6859795","DOIUrl":null,"url":null,"abstract":"<div>\n <p><i>Aim</i>. To examine the effectiveness of mobile health application-based interventions on mortality, hospitalization rate, self-care, and quality of life in people with heart failure. <i>Background</i>. Mobile health application-based interventions are reported to potentially help people with heart failure improve health-related clinical outcomes. However, evidence on the effects of mobile health application-based interventions on mortality, hospitalization, self-care, and quality of life remains inconclusive and limited. <i>Methods</i>. A systematic literature search was conducted in six databases (MEDLINE, CINAHL Plus with Full Text, PsycINFO, Web of Science, EMBASE, and CENTRAL) to identify relevant studies from inception to 21 October 2023. Two authors independently extracted the data and assessed the risk of bias using the Cochrane risk-of-bias tool. The meta-analysis was conducted in Review Manager (version 5.4) and the statistical software R 4.3.3. Sensitivity analysis and subgroup analysis were also performed. The certainty of the evidence was evaluated by the GRADE approach. <i>Results</i>. Twenty-four studies involving 2886 participants were identified in this review. The pooled analysis showed that mobile health application-based interventions had statistically significant beneficial effects on reducing heart failure-related hospitalization (RR = 0.72, 95% CI 0.57 to 0.91, <i>p</i> = 0.01) and improving quality of life (SMD = 0.46, 95% CI 0.09 to 0.83, <i>p</i> = 0.02), but had no statistically significant effects on all-cause mortality (RR = 0.90, 95% CI 0.66 to 1.25, <i>p</i> = 0.47), cardiovascular mortality (RR = 0.87, 95% CI 0.59 to 1.26, <i>p</i> = 0.24), all-cause hospitalization (RR = 0.74, 95% CI 0.39 to 1.42, <i>p</i> = 0.29), or self-care (MD = −2.42, 95% CI −15.07 to 10.24, <i>p</i> = 0.64). Subgroup analyses indicated that intervention duration and monitoring frequency may influence the effects of mobile health application-based interventions on quality of life. <i>Conclusions</i>. Mobile health application-based interventions were effective at reducing heart failure-related hospitalization and improving quality of life in people with heart failure. More well-designed randomized controlled trials are needed to strengthen the evidence. <i>Implications for Nursing Management</i>. Mobile health application-based interventions may have benefits for improving heart failure-related hospitalization and quality of life. More rigorous studies are warranted to confirm the effects of mobile health application-based interventions for people with heart failure.</p>\n </div>","PeriodicalId":49297,"journal":{"name":"Journal of Nursing Management","volume":"2024 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6859795","citationCount":"0","resultStr":"{\"title\":\"Mobile Application-Based Interventions for People with Heart Failure: A Systematic Review and Meta-Analysis\",\"authors\":\"Yun-Xia Ni, Xue-Hui Liu, Li He, Ya Wen, Gui-Ying You\",\"doi\":\"10.1155/2024/6859795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p><i>Aim</i>. To examine the effectiveness of mobile health application-based interventions on mortality, hospitalization rate, self-care, and quality of life in people with heart failure. <i>Background</i>. Mobile health application-based interventions are reported to potentially help people with heart failure improve health-related clinical outcomes. However, evidence on the effects of mobile health application-based interventions on mortality, hospitalization, self-care, and quality of life remains inconclusive and limited. <i>Methods</i>. A systematic literature search was conducted in six databases (MEDLINE, CINAHL Plus with Full Text, PsycINFO, Web of Science, EMBASE, and CENTRAL) to identify relevant studies from inception to 21 October 2023. Two authors independently extracted the data and assessed the risk of bias using the Cochrane risk-of-bias tool. The meta-analysis was conducted in Review Manager (version 5.4) and the statistical software R 4.3.3. Sensitivity analysis and subgroup analysis were also performed. The certainty of the evidence was evaluated by the GRADE approach. <i>Results</i>. Twenty-four studies involving 2886 participants were identified in this review. The pooled analysis showed that mobile health application-based interventions had statistically significant beneficial effects on reducing heart failure-related hospitalization (RR = 0.72, 95% CI 0.57 to 0.91, <i>p</i> = 0.01) and improving quality of life (SMD = 0.46, 95% CI 0.09 to 0.83, <i>p</i> = 0.02), but had no statistically significant effects on all-cause mortality (RR = 0.90, 95% CI 0.66 to 1.25, <i>p</i> = 0.47), cardiovascular mortality (RR = 0.87, 95% CI 0.59 to 1.26, <i>p</i> = 0.24), all-cause hospitalization (RR = 0.74, 95% CI 0.39 to 1.42, <i>p</i> = 0.29), or self-care (MD = −2.42, 95% CI −15.07 to 10.24, <i>p</i> = 0.64). Subgroup analyses indicated that intervention duration and monitoring frequency may influence the effects of mobile health application-based interventions on quality of life. <i>Conclusions</i>. Mobile health application-based interventions were effective at reducing heart failure-related hospitalization and improving quality of life in people with heart failure. More well-designed randomized controlled trials are needed to strengthen the evidence. <i>Implications for Nursing Management</i>. Mobile health application-based interventions may have benefits for improving heart failure-related hospitalization and quality of life. More rigorous studies are warranted to confirm the effects of mobile health application-based interventions for people with heart failure.</p>\\n </div>\",\"PeriodicalId\":49297,\"journal\":{\"name\":\"Journal of Nursing Management\",\"volume\":\"2024 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6859795\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nursing Management\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/2024/6859795\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nursing Management","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/6859795","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
摘要
目的研究基于移动医疗应用的干预措施对心力衰竭患者的死亡率、住院率、自我护理和生活质量的影响。背景。据报道,基于移动医疗应用的干预措施有可能帮助心力衰竭患者改善与健康相关的临床结果。然而,有关基于移动医疗应用的干预措施对死亡率、住院率、自我护理和生活质量的影响的证据仍然不确定且有限。研究方法在六个数据库(MEDLINE、CINAHL Plus with Full Text、PsycINFO、Web of Science、EMBASE 和 CENTRAL)中进行了系统性文献检索,以确定从开始到 2023 年 10 月 21 日的相关研究。两位作者独立提取数据,并使用 Cochrane 偏倚风险工具评估偏倚风险。荟萃分析在 Review Manager(5.4 版)和 R 4.3.3 统计软件中进行。还进行了敏感性分析和亚组分析。证据的确定性采用 GRADE 方法进行评估。研究结果本综述共确定了 24 项研究,涉及 2886 名参与者。汇总分析表明,基于移动健康应用的干预措施对减少心衰相关住院率(RR = 0.72,95% CI 0.57 至 0.91,p = 0.01)和改善生活质量(SMD = 0.46,95% CI 0.09 至 0.83,p = 0.02)具有统计学意义上的显著有益效果,但对减少心衰相关住院率(RR = 0.72,95% CI 0.57 至 0.91,p = 0.01)和改善生活质量(SMD = 0.46,95% CI 0.09 至 0.83,p = 0.02)没有统计学意义。02),但对全因死亡率(RR = 0.90,95% CI 0.66 至 1.25,p = 0.47)、心血管死亡率(RR = 0.87,95% CI 0.59 至 1.26,p = 0.24)、全因住院率(RR = 0.74,95% CI 0.39 至 1.42,p = 0.29)或自理能力(MD = -2.42,95% CI -15.07 至 10.24,p = 0.64)没有统计学意义上的显著影响。分组分析表明,干预持续时间和监测频率可能会影响基于移动健康应用的干预对生活质量的影响。结论基于移动医疗应用的干预措施能有效减少心力衰竭相关的住院治疗,改善心力衰竭患者的生活质量。需要更多设计良好的随机对照试验来加强证据。对护理管理的启示。基于移动医疗应用的干预措施可能对改善心衰相关的住院治疗和生活质量有好处。需要进行更严格的研究,以确认基于移动健康应用的干预措施对心力衰竭患者的影响。
Mobile Application-Based Interventions for People with Heart Failure: A Systematic Review and Meta-Analysis
Aim. To examine the effectiveness of mobile health application-based interventions on mortality, hospitalization rate, self-care, and quality of life in people with heart failure. Background. Mobile health application-based interventions are reported to potentially help people with heart failure improve health-related clinical outcomes. However, evidence on the effects of mobile health application-based interventions on mortality, hospitalization, self-care, and quality of life remains inconclusive and limited. Methods. A systematic literature search was conducted in six databases (MEDLINE, CINAHL Plus with Full Text, PsycINFO, Web of Science, EMBASE, and CENTRAL) to identify relevant studies from inception to 21 October 2023. Two authors independently extracted the data and assessed the risk of bias using the Cochrane risk-of-bias tool. The meta-analysis was conducted in Review Manager (version 5.4) and the statistical software R 4.3.3. Sensitivity analysis and subgroup analysis were also performed. The certainty of the evidence was evaluated by the GRADE approach. Results. Twenty-four studies involving 2886 participants were identified in this review. The pooled analysis showed that mobile health application-based interventions had statistically significant beneficial effects on reducing heart failure-related hospitalization (RR = 0.72, 95% CI 0.57 to 0.91, p = 0.01) and improving quality of life (SMD = 0.46, 95% CI 0.09 to 0.83, p = 0.02), but had no statistically significant effects on all-cause mortality (RR = 0.90, 95% CI 0.66 to 1.25, p = 0.47), cardiovascular mortality (RR = 0.87, 95% CI 0.59 to 1.26, p = 0.24), all-cause hospitalization (RR = 0.74, 95% CI 0.39 to 1.42, p = 0.29), or self-care (MD = −2.42, 95% CI −15.07 to 10.24, p = 0.64). Subgroup analyses indicated that intervention duration and monitoring frequency may influence the effects of mobile health application-based interventions on quality of life. Conclusions. Mobile health application-based interventions were effective at reducing heart failure-related hospitalization and improving quality of life in people with heart failure. More well-designed randomized controlled trials are needed to strengthen the evidence. Implications for Nursing Management. Mobile health application-based interventions may have benefits for improving heart failure-related hospitalization and quality of life. More rigorous studies are warranted to confirm the effects of mobile health application-based interventions for people with heart failure.
期刊介绍:
The Journal of Nursing Management is an international forum which informs and advances the discipline of nursing management and leadership. The Journal encourages scholarly debate and critical analysis resulting in a rich source of evidence which underpins and illuminates the practice of management, innovation and leadership in nursing and health care. It publishes current issues and developments in practice in the form of research papers, in-depth commentaries and analyses.
The complex and rapidly changing nature of global health care is constantly generating new challenges and questions. The Journal of Nursing Management welcomes papers from researchers, academics, practitioners, managers, and policy makers from a range of countries and backgrounds which examine these issues and contribute to the body of knowledge in international nursing management and leadership worldwide.
The Journal of Nursing Management aims to:
-Inform practitioners and researchers in nursing management and leadership
-Explore and debate current issues in nursing management and leadership
-Assess the evidence for current practice
-Develop best practice in nursing management and leadership
-Examine the impact of policy developments
-Address issues in governance, quality and safety