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严重精神疾病的强化个案管理。

Intensive case management for severe mental illness.

作者信息

Dieterich Marina, Irving Claire B, Bergman Hanna, Khokhar Mariam A, Park Bert, Marshall Max

机构信息

Department of Psychiatry, Azienda USL Toscana Nord Ovest, Livorno, Italy.

Cochrane Schizophrenia Group, The University of Nottingham, Institute of Mental Health, University of Nottingham Innovation Park, Triumph Road, Nottingham, UK, NG7 2TU.

出版信息

Cochrane Database Syst Rev. 2017 Jan 6;1(1):CD007906. doi: 10.1002/14651858.CD007906.pub3.

DOI:10.1002/14651858.CD007906.pub3
PMID:28067944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6472672/
Abstract

BACKGROUND

Intensive Case Management (ICM) is a community-based package of care aiming to provide long-term care for severely mentally ill people who do not require immediate admission. Intensive Case Management evolved from two original community models of care, Assertive Community Treatment (ACT) and Case Management (CM), where ICM emphasises the importance of small caseload (fewer than 20) and high-intensity input.

OBJECTIVES

To assess the effects of ICM as a means of caring for severely mentally ill people in the community in comparison with non-ICM (caseload greater than 20) and with standard community care. We did not distinguish between models of ICM. In addition, to assess whether the effect of ICM on hospitalisation (mean number of days per month in hospital) is influenced by the intervention's fidelity to the ACT model and by the rate of hospital use in the setting where the trial was conducted (baseline level of hospital use).

SEARCH METHODS

We searched the Cochrane Schizophrenia Group's Trials Register (last update search 10 April 2015).

SELECTION CRITERIA

All relevant randomised clinical trials focusing on people with severe mental illness, aged 18 to 65 years and treated in the community care setting, where ICM is compared to non-ICM or standard care.

DATA COLLECTION AND ANALYSIS

At least two review authors independently selected trials, assessed quality, and extracted data. For binary outcomes, we calculated risk ratio (RR) and its 95% confidence interval (CI), on an intention-to-treat basis. For continuous data, we estimated mean difference (MD) between groups and its 95% CI. We employed a random-effects model for analyses.We performed a random-effects meta-regression analysis to examine the association of the intervention's fidelity to the ACT model and the rate of hospital use in the setting where the trial was conducted with the treatment effect. We assessed overall quality for clinically important outcomes using the GRADE approach and investigated possible risk of bias within included trials.

MAIN RESULTS

The 2016 update included two more studies (n = 196) and more publications with additional data for four already included studies. The updated review therefore includes 7524 participants from 40 randomised controlled trials (RCTs). We found data relevant to two comparisons: ICM versus standard care, and ICM versus non-ICM. The majority of studies had a high risk of selective reporting. No studies provided data for relapse or important improvement in mental state.1. ICM versus standard careWhen ICM was compared with standard care for the outcome service use, ICM slightly reduced the number of days in hospital per month (n = 3595, 24 RCTs, MD -0.86, 95% CI -1.37 to -0.34,low-quality evidence). Similarly, for the outcome global state, ICM reduced the number of people leaving the trial early (n = 1798, 13 RCTs, RR 0.68, 95% CI 0.58 to 0.79, low-quality evidence). For the outcome adverse events, the evidence showed that ICM may make little or no difference in reducing death by suicide (n = 1456, 9 RCTs, RR 0.68, 95% CI 0.31 to 1.51, low-quality evidence). In addition, for the outcome social functioning, there was uncertainty about the effect of ICM on unemployment due to very low-quality evidence (n = 1129, 4 RCTs, RR 0.70, 95% CI 0.49 to 1.0, very low-quality evidence).2. ICM versus non-ICMWhen ICM was compared with non-ICM for the outcome service use, there was moderate-quality evidence that ICM probably makes little or no difference in the average number of days in hospital per month (n = 2220, 21 RCTs, MD -0.08, 95% CI -0.37 to 0.21, moderate-quality evidence) or in the average number of admissions (n = 678, 1 RCT, MD -0.18, 95% CI -0.41 to 0.05, moderate-quality evidence) compared to non-ICM. Similarly, the results showed that ICM may reduce the number of participants leaving the intervention early (n = 1970, 7 RCTs, RR 0.70, 95% CI 0.52 to 0.95,low-quality evidence) and that ICM may make little or no difference in reducing death by suicide (n = 1152, 3 RCTs, RR 0.88, 95% CI 0.27 to 2.84, low-quality evidence). Finally, for the outcome social functioning, there was uncertainty about the effect of ICM on unemployment as compared to non-ICM (n = 73, 1 RCT, RR 1.46, 95% CI 0.45 to 4.74, very low-quality evidence).3. Fidelity to ACTWithin the meta-regression we found that i.) the more ICM is adherent to the ACT model, the better it is at decreasing time in hospital ('organisation fidelity' variable coefficient -0.36, 95% CI -0.66 to -0.07); and ii.) the higher the baseline hospital use in the population, the better ICM is at decreasing time in hospital ('baseline hospital use' variable coefficient -0.20, 95% CI -0.32 to -0.10). Combining both these variables within the model, 'organisation fidelity' is no longer significant, but the 'baseline hospital use' result still significantly influences time in hospital (regression coefficient -0.18, 95% CI -0.29 to -0.07, P = 0.0027).

AUTHORS' CONCLUSIONS: Based on very low- to moderate-quality evidence, ICM is effective in ameliorating many outcomes relevant to people with severe mental illness. Compared to standard care, ICM may reduce hospitalisation and increase retention in care. It also globally improved social functioning, although ICM's effect on mental state and quality of life remains unclear. Intensive Case Management is at least valuable to people with severe mental illnesses in the subgroup of those with a high level of hospitalisation (about four days per month in past two years). Intensive Case Management models with high fidelity to the original team organisation of ACT model were more effective at reducing time in hospital.However, it is unclear what overall gain ICM provides on top of a less formal non-ICM approach.We do not think that more trials comparing current ICM with standard care or non-ICM are justified, however we currently know of no review comparing non-ICM with standard care, and this should be undertaken.

摘要

背景

强化个案管理(ICM)是一种基于社区的护理方案,旨在为无需立即住院的重度精神疾病患者提供长期护理。强化个案管理源自两种最初的社区护理模式,即积极社区治疗(ACT)和个案管理(CM),其中ICM强调小工作量(少于20例)和高强度投入的重要性。

目的

评估与非ICM(工作量大于20例)和标准社区护理相比,ICM作为社区中护理重度精神疾病患者手段的效果。我们未区分ICM的模式。此外,评估ICM对住院治疗(每月住院天数均值)的影响是否受干预对ACT模式的依从性以及试验开展地点的医院使用率(住院使用的基线水平)的影响。

检索方法

我们检索了Cochrane精神分裂症组试验注册库(最后一次更新检索时间为2015年4月10日)。

入选标准

所有相关随机临床试验,研究对象为年龄在18至65岁、在社区护理环境中接受治疗的重度精神疾病患者,将ICM与非ICM或标准护理进行比较。

数据收集与分析

至少两名综述作者独立选择试验、评估质量并提取数据。对于二元结局,我们在意向性分析的基础上计算风险比(RR)及其95%置信区间(CI)。对于连续性数据,我们估计组间均值差(MD)及其95%CI。我们采用随机效应模型进行分析。我们进行了随机效应Meta回归分析,以检验干预对ACT模式的依从性以及试验开展地点的医院使用率与治疗效果之间的关联。我们使用GRADE方法评估临床重要结局的总体质量,并调查纳入试验中可能存在的偏倚风险。

主要结果

2016年更新纳入了另外两项研究(n = 196)以及更多为四项已纳入研究提供额外数据的出版物。因此,更新后的综述纳入了来自40项随机对照试验(RCT)的7524名参与者。我们发现了与两项比较相关的数据:ICM与标准护理,以及ICM与非ICM。大多数研究存在选择性报告的高风险。没有研究提供复发或精神状态重要改善的数据。1. ICM与标准护理相比对于服务使用结局,当将ICM与标准护理进行比较时,ICM略微减少了每月住院天数(n = 3595,24项RCT,MD -0.86,95%CI -1.37至-0.34,低质量证据)。同样,对于总体状态结局,ICM减少了提前退出试验的人数(n = 1798,13项RCT,RR 0.68,95%CI 0.58至0.79,低质量证据)。对于不良事件结局,证据表明ICM在降低自杀死亡方面可能几乎没有差异或没有差异(n = 1456,9项RCT,RR 0.68,95%CI 0.31至1.51,低质量证据)。此外,对于社会功能结局,由于证据质量极低,ICM对失业的影响存在不确定性(n = 1129,4项RCT,RR 0.70,95%CI 0.49至1.0,极低质量证据)。2. ICM与非ICM相比对于服务使用结局,当将ICM与非ICM进行比较时,有中等质量证据表明,与非ICM相比,ICM在每月平均住院天数(n = 2220,21项RCT,MD -0.08,95%CI -0.37至0.21,中等质量证据)或平均住院次数方面可能几乎没有差异或没有差异(n = 678,1项RCT,MD -0.18,95%CI -0.41至0.05,中等质量证据)。同样,结果表明ICM可能减少提前退出干预的参与者人数(n = 1970,7项RCT,RR 0.70,95%CI 0.52至0.95,低质量证据),并且ICM在降低自杀死亡方面可能几乎没有差异或没有差异(n = 1152,3项RCT,RR 0.88,95%CI 0.27至2.84,低质量证据)。最后,对于社会功能结局,与非ICM相比,ICM对失业的影响存在不确定性(n = 73,1项RCT,RR 1.46,95%CI 0.45至4.74,极低质量证据)。3. 对ACT模式的依从性在Meta回归中,我们发现:i. ICM对ACT模式的依从性越高,在减少住院时间方面效果越好(“组织依从性”变量系数 -0.36,95%CI -0.66至-0.07);ii. 人群中基线医院使用率越高,ICM在减少住院时间方面效果越好(“基线医院使用率”变量系数 -0.20,95%CI -0.32至-0.10)。在模型中综合这两个变量后,“组织依从性”不再显著,但“基线医院使用率”结果仍对住院时间有显著影响(回归系数 -0.18,95%CI -0.29至-0.07,P = 0.0027)。

作者结论

基于极低至中等质量的证据,ICM在改善许多与重度精神疾病患者相关的结局方面是有效的。与标准护理相比,ICM可能减少住院治疗并提高护理保留率。它还在总体上改善了社会功能,尽管ICM对精神状态和生活质量的影响仍不明确。强化个案管理对于住院率较高(过去两年中每月约四天)的重度精神疾病患者亚组至少是有价值的。对ACT模式原始团队组织具有高依从性的强化个案管理模式在减少住院时间方面更有效。然而,不清楚ICM在比不太正式的非ICM方法更好的基础上能提供什么总体益处。我们认为没有理由进行更多将当前ICM与标准护理或非ICM进行比较的试验,但是我们目前不知道有比较非ICM与标准护理的综述,应该进行这样的综述。

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