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慢性病患者的自我管理干预措施:对多病症研究中纳入标准、评估方法及结果报告方式的结构化综述

Self-management interventions in patients with long-term conditions: a structured review of approaches to reporting inclusion, assessment, and outcomes in multimorbidity.

作者信息

Kenning Cassandra, Coventry Peter A, Bower Peter

机构信息

NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

NIHR Collaboration for Applied Health Research and Care - Greater Manchester, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

出版信息

J Comorb. 2014 Aug 28;4:37-45. doi: 10.15256/joc.2014.4.33. eCollection 2014.

Abstract

BACKGROUND

Multimorbidity has many potential implications for healthcare delivery, but a particularly important impact concerns the validity of trial evidence underpinning clinical guidelines for individual conditions.

OBJECTIVE

To review how authors of published trials of self-management interventions reported inclusion criteria, sample descriptions, and consideration of the impact of multimorbidity on trial outcomes.

METHODS

We restricted our analysis to a small number of exemplar long-term conditions: type 2 diabetes mellitus, coronary heart disease, and chronic obstructive pulmonary disease. We focussed our search on published Cochrane reviews. Data were extracted from the trials on , , and .

RESULTS

Eleven reviews consisting of 164 unique trials were identified. Sixty percent of trials reported excluding patients with forms of multimorbidity. Reasons for exclusion were poorly described or defined. Reporting of multimorbidity within the trials was poor, with only 35% of trials reporting on multimorbidity in their patient samples. Secondary analyses, exploring the impact of multimorbidity, were very rare.

CONCLUSIONS

The importance of multimorbidity in trials is only going to become more important over time, but trials often exclude patients with multimorbidity, and reporting of multimorbidity in trials including such patients is generally poor. This limits judgements about the external validity of the results for clinical populations. A consistent approach to the conduct and reporting of secondary analyses of the effects of multimorbidity on outcomes, using current best-practice guidance, could lead to a rapid development of the evidence base.

摘要

背景

多病共存对医疗服务有诸多潜在影响,但一个特别重要的影响涉及支撑个体疾病临床指南的试验证据的有效性。

目的

回顾已发表的自我管理干预试验的作者如何报告纳入标准、样本描述以及对多病共存对试验结果影响的考量。

方法

我们将分析限制在少数几种典型的长期疾病:2型糖尿病、冠心病和慢性阻塞性肺疾病。我们将搜索重点放在已发表的Cochrane系统评价上。数据从关于[此处可能有缺失信息]、[此处可能有缺失信息]和[此处可能有缺失信息]的试验中提取。

结果

共识别出11篇包含164项独立试验的系统评价。60%的试验报告排除了患有多种疾病的患者。排除原因描述或定义不佳。试验中对多病共存的报告较差,仅35%的试验报告了其患者样本中的多病共存情况。探索多病共存影响的二次分析非常罕见。

结论

随着时间推移,多病共存在试验中的重要性只会变得更加重要,但试验通常会排除患有多病共存的患者,并且在包含此类患者的试验中对多病共存的报告普遍较差。这限制了对临床人群结果外部有效性的判断。采用当前最佳实践指南,对多病共存对结果影响的二次分析进行一致的开展和报告方法,可能会使证据基础迅速发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e0/5556411/048c593efab7/joc-04-037-g001.jpg

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