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慢性肾脏病患者的数字症状管理干预措施:基于英国医学研究理事会框架的范围综述

Digital symptom management interventions for people with chronic kidney disease: a scoping review based on the UK Medical Research Council Framework.

作者信息

Zheng Xutong, Yang Zhen, Liu Shu, Li Yuqian, Wang Aiping

机构信息

Department of Public Service, The First Affiliated Hospital of China Medical University, Shenyang, China.

出版信息

BMC Public Health. 2024 Dec 19;24(1):3534. doi: 10.1186/s12889-024-20871-5.

Abstract

BACKGROUND

Chronic Kidney Disease (CKD) is a growing global health issue with a complex symptom phenotype. It negatively impacts patients' health-related quality of life and increases healthcare utilization. While digital health interventions offer promising avenues for improving symptom management in CKD, understanding their development, validation, and effectiveness is crucial for clinical application.

OBJECTIVE

To comprehensively map the existing literature on digital health interventions designed to manage symptoms in patients with Chronic Kidney Disease (CKD), using the UK Medical Research Council's complex intervention framework as a guiding lens. This scoping review aims to: (1) catalogue digital health interventions utilized in CKD symptom management; (2) detail the range of outcome measures assessing intervention effectiveness, including clinical efficacy, patient adherence, and quality of life; (3) examine the methodologies and frameworks employed in the creation of these interventions; (4) assess the pilot testing and effectiveness evaluations; and (5) categorize and analyze the barriers to implementation.

METHODS

A scoping review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Databases searched included PubMed, Scopus, Embase, and others, covering literature up to December 2023. Studies were selected based on predefined eligibility criteria for digital health interventions for CKD symptom management.

RESULTS

The search yielded 31 studies, with a mix of development and validation studies, predominantly from developed countries. The review highlights the potential of digital interventions in enhancing symptom management, quality of life, and patient engagement in CKD care. However, gaps were identified as follows: (1) Iterative refinement cycles involving multidisciplinary stakeholders enhanced intervention acceptability and usability should be guaranteed, (2) Theory-driven and evidence-based approaches were underutilized in current intervention development, (3) Long-term implementation outcomes and process evaluations were rarely assessed. This review maps an evolving landscape where digital health interventions offer patient-centric solutions for CKD symptom management while highlighting opportunities for methodological advancements.

CONCLUSION

Digital health interventions hold promise for improving symptom management in CKD, yet more research is needed to overcome current limitations and fully realize their potential. Future studies should focus on patient-centred designs, comprehensive validation processes, exploring the underlying mechanism using process evaluation and the integration of these technologies into routine clinical practice.

摘要

背景

慢性肾脏病(CKD)是一个日益严重的全球性健康问题,具有复杂的症状表型。它对患者与健康相关的生活质量产生负面影响,并增加了医疗保健的利用率。虽然数字健康干预为改善CKD的症状管理提供了有前景的途径,但了解其开发、验证和有效性对于临床应用至关重要。

目的

以英国医学研究委员会的复杂干预框架为指导,全面梳理关于旨在管理慢性肾脏病(CKD)患者症状的数字健康干预的现有文献。本范围综述旨在:(1)编目CKD症状管理中使用的数字健康干预措施;(2)详细说明评估干预效果的结果指标范围,包括临床疗效、患者依从性和生活质量;(3)检查这些干预措施创建过程中采用的方法和框架;(4)评估试点测试和有效性评估;(5)对实施障碍进行分类和分析。

方法

按照系统评价和Meta分析扩展版的范围综述(PRISMA-ScR)指南进行范围综述。检索的数据库包括PubMed、Scopus、Embase等,涵盖截至2023年12月的文献。根据针对CKD症状管理的数字健康干预的预定义纳入标准选择研究。

结果

检索到31项研究,包括开发和验证研究,主要来自发达国家。该综述强调了数字干预在增强CKD护理中的症状管理、生活质量和患者参与度方面的潜力。然而,发现了以下差距:(1)应确保涉及多学科利益相关者的迭代优化周期,以提高干预的可接受性和可用性;(2)理论驱动和基于证据的方法在当前干预开发中未得到充分利用;(3)很少评估长期实施结果和过程评估。本综述描绘了一个不断发展的局面,数字健康干预为CKD症状管理提供了以患者为中心的解决方案,同时突出了方法学进步的机会。

结论

数字健康干预有望改善CKD的症状管理,但需要更多研究来克服当前的局限性并充分发挥其潜力。未来的研究应侧重于以患者为中心的设计、全面的验证过程、使用过程评估探索潜在机制以及将这些技术整合到常规临床实践中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be76/11660706/1a8dbe11ee2c/12889_2024_20871_Figa_HTML.jpg

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