数字康复对中风患者的公平程度如何?使用公平方法的系统审查。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-06-24 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1544754
Rachel C Stockley, Yasemin Hirst, Chantelle Hayes, Kimberley E Watkins, Peter C Goodwin
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引用次数: 0

摘要

中风是全球最大的成人神经功能障碍原因。卫生不公平增加了中风的风险,并可能影响整体恢复。中风后的康复旨在恢复功能和独立性,并可能利用数字技术来增强日常护理。本研究系统地调查了数字脑卒中康复研究中公平因素的报道。方法:本系统综述在2011-2021年发表的卒中康复技术临床试验随机样本中检查PROGRESS-Plus框架中包含的公平因素。四名审稿人对14724篇论文的标题和摘要进行了双重筛选。随机选择所有可能符合条件的论文(n = 821),并审查135篇论文进行数据提取。每个研究都用36分的PROGRESS-plus标准进行编码,包括纳入、排除和基线特征。采用方差分析和多变量线性回归,按出版年份、地点、使用的技术类型、干预目标、对照组数量和样本量评估PROGRESS-Plus报告的差异。结果:纳入87项研究,平均PROGRESS-Plus评分为7.05 (SD = 2.06),最低评分为0分,最高评分为14分。尽管教育、社会资本和社会经济地位对健康结果很重要,但只有不到5%的研究报告了这些因素。最常见的平等因素是年龄、残疾和性别。使用的技术、干预目标(上肢或下肢)、样本量、地点、对照组数量和样本量的报告没有显著差异。多元线性回归因子无法解释股权报告的差异。出版年份与PROGRESS-Plus评分之间存在微小的正相关(r =。讨论:很少有关于数字康复干预措施的研究考虑到几个关键的公平因素,包括那些被认为会导致数字排斥和影响健康结果的因素。一个令人鼓舞的发现是,最近的研究更有可能报告公平因素,但未来的研究应确保完整的公平因素报告,以确保他们的发现适用于临床人群。系统评价注册:https://www.crd.york.ac.uk/PROSPERO/view/CRD42024504300, PROSPERO/标识符,CRD42024504300。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How equitable is digital rehabilitation for people after stroke? A systematic review using an equity approach.

Introduction: Stroke is the largest global cause of adult neuro-disability. Health inequities increase the risk of stroke and are likely to influence overall recovery. Rehabilitation after stroke seeks to restore function and independence and may utilise digital technologies to augment usual care. This study systematically investigates the reporting of equity factors in digital stroke rehabilitation research.

Methods: This systematic review examined equity factors contained in the PROGRESS-Plus framework in a random sample of clinical trials of technologies used as part of stroke rehabilitation published in 2011-2021. Four reviewers double-screened titles and abstracts of 14,724 papers. A random selection was carried out across all potentially eligible papers (n = 821) and 135 papers were reviewed for data extraction. Each study was coded with 36-point PROGRESS-plus criteria for inclusion, exclusion, and baseline characteristics. ANOVA and multivariable linear regression were used to assess the variation in PROGRESS-Plus reporting by year of publication, location, type of technology used, intervention target, number of comparison groups and sample size.

Results: 87 studies were included with a mean PROGRESS-Plus score of 7.05 (SD= 2.06), minimum score of 0 and maximum score of 14. Despite their importance to health outcomes, education, social capital and socioeconomic status were reported by less than 5% of studies. The most commonly reported equity factors were age, disability and gender. There were no significant differences in reporting by technology used, target of the intervention (upper or lower limb), sample size, location, number of comparison groups and sample size. Variation in equity reporting was not explained through multiple linear regression factors. There was a small positive correlation between the year of publication and the PROGRESS-Plus score (r = .26, n = 87, p < 0.05).

Discussion: Few studies of digital rehabilitation interventions considered several key equity factors, including those recognised to precipitate digital exclusion and influence health outcomes. An encouraging finding was that more recent work was slightly more likely to report equity factors, but future research should ensure complete reporting of equity factors to ensure their findings are applicable to clinical populations.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024504300, PROSPERO/identifier, CRD42024504300.

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