Intensive case management for severe mental illness.

Cochrane Database Syst Rev

University of Manchester, The Lantern Centre, Vicarage Lane, Of Watling Street Road, Fulwood, Preston, Lancashire, UK.

Published: January 2017

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472672PMC
http://dx.doi.org/10.1002/14651858.CD007906.pub3DOI Listing

Publication Analysis

Top Keywords

icm
26
case management
24
intensive case
20
standard care
20
severe mental
16
compared non-icm
16
icm versus
16
low-quality evidence
16
evidence icm
16
moderate-quality evidence
16

Similar Publications

Decoding the Epigenetic and Transcriptional Basis of Direct Cardiac Reprogramming.

Stem Cells

January 2025

Department of Biomedical Engineering, Heersink School of Medicine, School of Engineering, University of Alabama at Birmingham.

Heart disease, particularly resulting from myocardial infarction (MI), continues to be a leading cause of mortality, largely due to the limited regenerative capacity of the human heart. Current therapeutic approaches seek to generate new cardiomyocytes from alternative sources. Direct cardiac reprogramming, which converts fibroblasts into induced cardiomyocytes (iCMs), offers a promising alternative by enabling in situ cardiac regeneration and minimizing tumorigenesis concerns.

View Article and Find Full Text PDF

Background: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and nonmotor symptoms, with a significant genetic component. Early-onset Parkinson's disease (EOPD), manifesting before age 45, is often linked to mutations in genes such as PARK2, PINK1, and PARK7, the latter coding for the protein DJ-1.

Objective: We present the first reported cases of EOPD carrying a previously undescribed homozygous PARK7 mutation, p.

View Article and Find Full Text PDF

Blood-based biomarkers have been revolutionizing the detection, diagnosis and screening of Alzheimer's disease. Specifically, phosphorylated-tau variants (p-tau, p-tau and p-tau) are promising biomarkers for identifying Alzheimer's disease pathology. Antibody-based assays such as single molecule arrays immunoassays are powerful tools to investigate pathological changes indicated by blood-based biomarkers and have been studied extensively in the Alzheimer's disease research field.

View Article and Find Full Text PDF

Polygenic risk scores for atrial fibrillation and heart failure and the risk of stroke and dementia.

Brain Commun

January 2025

Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Mölndal 43139, Sweden.

Atrial fibrillation and heart failure have both been suggested to increase stroke and dementia risk. However, in observational studies, reversed causation and unmeasured confounding may occur. To mitigate these issues, this study aims to investigate if higher genetic risk for atrial fibrillation and heart failure increases dementia and stroke risk.

View Article and Find Full Text PDF

Introduction: Positive end-expiratory pressure (PEEP) and prone positioning can improve gas exchange by promoting uniform lung aeration. However, elevated ventilation pressures may increase intracranial pressure (ICP) and disrupt cerebral autoregulation. This study investigated the effects of PEEP on ICP and cerebral autoregulation in a porcine model with healthy lungs and normal ICP, comparing prone and supine positions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!