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出院计划。

Discharge planning from hospital.

机构信息

Center for Health Technology and Services Research (CINTESIS), Porto, Portugal.

Nuffield Department of Population Health, University of Oxford, Oxford, UK.

出版信息

Cochrane Database Syst Rev. 2022 Feb 24;2(2):CD000313. doi: 10.1002/14651858.CD000313.pub6.

Abstract

BACKGROUND

Discharge planning is a routine feature of health systems in many countries that aims to reduce delayed discharge from hospital, and improve the co-ordination of services following discharge from hospital and reduce the risk of hospital readmission. This is the fifth update of the original review.

OBJECTIVES

To assess the effectiveness of planning the discharge of individual patients moving from hospital.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and two trials registers on 20 April 2021. We searched two other databases up to 31 March 2020. We also conducted reference checking, citation searching and contact with study authors to identify additional studies.

SELECTION CRITERIA

Randomised trials that compared an individualised discharge plan with routine discharge that was not tailored to individual participants. Participants were hospital inpatients.

DATA COLLECTION AND ANALYSIS

Two review authors independently undertook data analysis and quality assessment using a pre-designed data extraction sheet. We grouped studies by older people with a medical condition, people recovering from surgery, and studies that recruited participants with a mix of conditions. We calculated risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous data using fixed-effect meta-analysis. When combining outcome data it was not possible because of differences in the reporting of outcomes, we summarised the reported results for each trial in the text.

MAIN RESULTS

We included 33 trials (12,242 participants), four new trials included in this update. The majority of trials (N = 30) recruited participants with a medical diagnosis, average age range 60 to 84 years; four of these trials also recruited participants who were in hospital for a surgical procedure. Participants allocated to discharge planning and who were in hospital for a medical condition had a small reduction in the initial hospital length of stay (MD - 0.73, 95% confidence interval (CI) - 1.33 to - 0.12; 11 trials, 2113 participants; moderate-certainty evidence), and a relative reduction in readmission to hospital over an average of three months follow-up (RR 0.89, 95% CI 0.81 to 0.97; 17 trials, 5126 participants; moderate-certainty evidence). There was little or no difference in participant's health status (mortality at three- to nine-month follow-up: RR 1.05, 95% CI 0.85 to 1.29; 8 trials, 2721 participants; moderate certainty) functional status and psychological health measured by a range of measures, 12 studies, 2927 participants;  low certainty evidence). There was some evidence that satisfaction might be increased for patients (7 trials), caregivers (1 trial) or healthcare professionals (2 trials) (very low certainty evidence). The cost of a structured discharge plan compared with routine discharge is uncertain (7 trials recruiting 7873 participants with a medical condition; very low certainty evidence).

AUTHORS' CONCLUSIONS: A structured discharge plan that is tailored to the individual patient probably brings about a small reduction in the initial hospital length of stay and readmissions to hospital for older people with a medical condition, may slightly increase patient satisfaction with healthcare received. The impact on patient health status and healthcare resource use or cost to the health service is uncertain.

摘要

背景

出院计划是许多国家卫生系统的常规特征,旨在减少患者从医院延迟出院,并改善出院后的服务协调,降低再次入院的风险。这是对原始综述的第五次更新。

目的

评估针对从医院出院的个体患者进行出院计划的效果。

检索方法

我们于 2021 年 4 月 20 日在 CENTRAL、MEDLINE、Embase 和两个试验登记处进行了检索。我们还在 2020 年 3 月 31 日之前在另外两个数据库中进行了检索。我们还进行了参考文献检查、引文搜索,并与研究作者联系,以确定其他研究。

选择标准

比较个体化出院计划与未针对个体参与者进行定制的常规出院的随机试验。参与者为住院患者。

数据收集和分析

两位综述作者独立使用预先设计的数据提取表进行数据分析和质量评估。我们根据老年人伴有医疗状况、手术后康复的人群以及招募具有多种疾病的参与者的研究对研究进行了分组。我们使用固定效应荟萃分析计算了二分类结局的风险比(RR)和连续数据的均数差(MD)。由于报告结局的差异,我们无法合并结局数据,因此我们在文本中总结了每项试验的报告结果。

主要结果

我们纳入了 33 项试验(12242 名参与者),其中包括本更新中纳入的 4 项新试验。大多数试验(N=30)招募了患有医疗诊断的参与者,平均年龄为 60 至 84 岁;其中四项试验还招募了因手术住院的参与者。接受出院计划并因医疗状况住院的患者的初始住院时间略有缩短(MD-0.73,95%置信区间(CI)-1.33 至-0.12;11 项试验,2113 名参与者;中等确定性证据),并在平均 3 个月的随访期间减少了再次住院(RR0.89,95%CI0.81 至 0.97;17 项试验,5126 名参与者;中等确定性证据)。在 3 至 9 个月的随访中,参与者的健康状况(死亡率:RR1.05,95%CI0.85 至 1.29;8 项试验,2721 名参与者;中等确定性)、功能状态和心理健康的差异较小或无差异,这些指标使用了多种措施进行测量,包括 12 项研究,2927 名参与者;低确定性证据)。有一些证据表明患者(7 项试验)、护理人员(1 项试验)或医疗保健专业人员(2 项试验)的满意度可能有所提高(非常低确定性证据)。与常规出院相比,结构化出院计划的成本尚不确定(7 项试验招募了 7873 名患有医疗状况的参与者;非常低确定性证据)。

作者结论

针对个体患者量身定制的结构化出院计划可能会使老年患者的初始住院时间略有缩短,再次住院率降低,可能会略微提高患者对医疗服务的满意度。对患者健康状况以及医疗资源使用或卫生服务成本的影响尚不确定。

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