对covid -19后相关症状进行及时适应性干预的适用性:一项系统的范围审查

IF 7.7
PLOS digital health Pub Date : 2025-05-29 eCollection Date: 2025-05-01 DOI:10.1371/journal.pdig.0000832
Gerko Schaap, Benjamin Butt, Christina Bode
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引用次数: 0

摘要

出现新冠肺炎后相关症状的患者需要积极及时的自我管理支持。即时适应性干预(JITAI)似乎有望满足这些需求,因为它们旨在根据以患者为中心的措施提供量身定制的干预措施。本系统的范围审查探讨了covid -19后综合征中潜在JITAI的适用性并检查了其关键组成部分。检索数据库(PsycINFO、PubMed和Scopus),使用与covid -19后相关症状群(疲劳和疼痛;呼吸系统疾病;认知功能障碍;心理问题)和JITAI。对研究进行了总结,以确定潜在的组成部分(干预方案、裁剪变量和决策规则)、可行性和有效性以及潜在的障碍。在筛选的341份记录中,纳入了11篇论文(5项单臂试验或可行性研究,3项双臂随机对照试验研究和3项观察性研究)。两篇文章涉及疲劳或疼痛相关的抱怨,九篇文章涉及心理问题。未见JITAI治疗呼吸系统疾病或认知功能障碍的文章。大多数干预措施提供监测、教育或强化支持,主要使用生态瞬时评估或基于智能手机的传感。尽管证据有限,但JITAIs被认为是可接受和可行的,并且似乎有效。鉴于这些发现,针对covid -19后综合征的JITAI很有希望,但需要适应其症状的复杂性和多面性。未来的研究应该评估机器学习的可行性,以准确预测何时执行及时的干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. Just-in-time adaptive interventions (JITAI) seem promising in meeting these needs, as they aim to provide tailored interventions based on patient-centred measures. This systematic scoping review explores the suitability and examines key components of a potential JITAI in post-COVID-19 syndrome. Databases (PsycINFO, PubMed, and Scopus) were searched using terms related to post-COVID-19-related symptom clusters (fatigue and pain; respiratory problems; cognitive dysfunction; psychological problems) and to JITAI. Studies were summarised to identify potential components (interventions options, tailoring variables and decision rules), feasibility and effectiveness, and potential barriers. Out of the 341 screened records, 11 papers were included (five single-armed pilot or feasibility studies, three two-armed randomised controlled trial studies, and three observational studies). Two articles addressed fatigue or pain-related complaints, and nine addressed psychological problems. No articles about JITAI for respiratory problems or cognitive dysfunction clusters were found. Most interventions provided monitoring, education or reinforcement support, using mostly ecological momentary assessments or smartphone-based sensing. JITAIs were found to be acceptable and feasible, and seemingly effective, although evidence is limited. Given these findings, a JITAI for post-COVID-19 syndrome is promising, but needs to fit the complex, multifaceted nature of its symptoms. Future studies should assess the feasibility of machine learning to accurately predict when to execute timely interventions.

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