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      Predictors of moving on from mental health supported accommodation in England: national cohort study

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          Abstract

          Background

          Around 60 000 people in England live in mental health supported accommodation. There are three main types: residential care, supported housing and floating outreach. Supported housing and floating outreach aim to support service users in moving on to more independent accommodation within 2 years, but there has been little research investigating their effectiveness.

          Aims

          A 30-month prospective cohort study investigating outcomes for users of mental health supported accommodation.

          Method

          We used random sampling, accounting for relevant geographical variation factors, to recruit 87 services (22 residential care, 35 supported housing and 30 floating outreach) and 619 service users (residential care 159, supported housing 251, floating outreach 209) across England. We contacted services every 3 months to investigate the proportion of service users who successfully moved on to more independent accommodation. Multilevel modelling was used to estimate how much of the outcome and cost variations were due to service type and quality, after accounting for service-user characteristics.

          Results

          Overall 243/586 participants successfully moved on (residential care 15/146, supported housing 96/244, floating outreach 132/196). This was most likely for floating outreach service users (versus residential care: odds ratio 7.96, 95% CI 2.92–21.69, P < 0.001; versus supported housing: odds ratio 2.74, 95% CI 1.01–7.41, P < 0.001) and was associated with reduced costs of care and two aspects of service quality: promotion of human rights and recovery-based practice.

          Conclusions

          Most people do not move on from supported accommodation within the expected time frame. Greater focus on human rights and recovery-based practice may increase service effectiveness.

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          Most cited references21

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          An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

          The propensity score is the probability of treatment assignment conditional on observed baseline characteristics. The propensity score allows one to design and analyze an observational (nonrandomized) study so that it mimics some of the particular characteristics of a randomized controlled trial. In particular, the propensity score is a balancing score: conditional on the propensity score, the distribution of observed baseline covariates will be similar between treated and untreated subjects. I describe 4 different propensity score methods: matching on the propensity score, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, and covariate adjustment using the propensity score. I describe balance diagnostics for examining whether the propensity score model has been adequately specified. Furthermore, I discuss differences between regression-based methods and propensity score-based methods for the analysis of observational data. I describe different causal average treatment effects and their relationship with propensity score analyses.
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            Application and Results of the Manchester Short Assessment of Quality of Life (Mansa)

            Based on experiences and empirical evidence gained in studies using the Lancashire Quality of Life Profile (LQLP), the Manchester Short Assessment of Quality of Life (MANSA) has been developed as a condensed and slightly modified instrument for assessing quality of life. Its properties have been tested in a sample of community care patients.
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              Quality of life, autonomy, satisfaction, and costs associated with mental health supported accommodation services in England: a national survey.

              Little research has been done into the effectiveness of mental health supported accommodation services. We did a national survey to investigate provision and costs of services and assess service user quality of life and outcomes across England.
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                Author and article information

                Contributors
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                (View ORCID Profile)
                Journal
                The British Journal of Psychiatry
                Br J Psychiatry
                Royal College of Psychiatrists
                0007-1250
                1472-1465
                June 2020
                May 03 2019
                June 2020
                : 216
                : 6
                : 331-337
                Article
                10.1192/bjp.2019.101
                31046864
                85ffdf86-3f9b-4702-b582-74addc75f168
                © 2020

                https://www.cambridge.org/core/terms

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