Evidence map›Paper›PMID 30342501›Full record

ArticleBMC psychiatry2018

Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study.

Christian Dalton-Locke, Rosie Attard, Helen Killaspy, Sarah White

Abstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christian Dalton-LockeDivision of Psychiatry, University College London, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK. c.dalton-locke@ucl.ac.uk.ORCID 0000-0002-1876-4741
Rosie AttardDivision of Psychiatry, University College London, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.
Helen KillaspyDivision of Psychiatry, University College London, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.
Sarah WhitePopulation Health Research Institute, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK.

Funding

Department of Health RP-PG-0610-10097
6 · The paper itself

Abstract

backgroundSpecialist mental health supported accommodation services are a key component to a graduated level of care from hospital to independently living in the community for people with complex, longer term mental health problems. However, they come at a high cost and there has been a lack of research on the quality of these services. The QuEST (Quality and Effectiveness of Supported tenancies) study, a five-year programme of research funded by the National Institute for Health Research, aimed to address this. It included the development of the first standardised quality assessment tool for supported accommodation services, the QuIRC-SA (Quality Indicator for Rehabilitative Care - Supported Accommodation). Using data collected from the QuIRC-SA, we aimed to identify potential service characteristics that were associated with quality of care.

methodsData collected from QuIRC-SAs with 150 individual services in England (28 residential care, 87 supported housing and 35 floating outreach) from four different sources were analysed using multiple regression modelling to investigate associations between service characteristics (local authority area index score, total beds/spaces, staffing intensity, percentage of male service users and service user ability) and areas of quality of care (Living Environment, Therapeutic Environment, Treatments and Interventions, Self-Management and Autonomy, Social Interface, Human Rights and Recovery Based Practice).

resultsThe local authority area in which the service is located, the service size (number of beds/places) and the usual expected length of stay were each negatively associated with up to six of the seven QuIRC-SA domains. Staffing intensity was positively associated with two domains (Therapeutic Environment and Treatments and Interventions) and negatively associated with one (Human Rights). The percentage of male service users was positively associated with one domain (Treatments and Interventions) and service user ability was not associated with any of the domains.

conclusionsThis study identified service characteristics associated with quality of care in specialist mental health supported accommodation services that can be used in the design and specification of services.

Indexed as

EnglandFemaleHousingHumansMaleMental DisordersMental HealthMental Health ServicesMultivariate AnalysisPredictive Value of TestsQuality of Health CareRegression AnalysisMental healthMultiple regressionPredictors of qualityQuality assessmentQuality of careSupported accommodation

Identifiers

PMID30342501
PMCPMC6195958

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.