Evidence map›Paper›PMID 19735562›Full record

SynthesisBMC psychiatry2009

A systematic review of the international published literature relating to quality of institutional care for people with longer term mental health problems.

Tatiana L Taylor, Helen Killaspy, Christine Wright, Penny Turton, Sarah White, Thomas W Kallert, Mirjam Schuster, Jorge A Cervilla, Paulette Brangier, Jiri Raboch and 14 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC psychiatry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
16.7field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 137 citations in OpenAlex.

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  11. Characteristics of Working-Age Adults With Schizophrenia Newly Admitted to Nursing Homes.Journal of the American Medical Directors Association · 2022
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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

24 authors at 15 institutions in 11 countries.

Tatiana L TaylorResearch Department of Mental Health Sciences, UCL Medical School, London, UK. ttaylor@medsch.ucl.ac.uk
Helen Killaspy
Christine Wright
Penny Turton
Sarah White
Thomas W Kallert
Mirjam Schuster
Jorge A Cervilla
Paulette Brangier
Jiri Raboch
Lucie Kalisová
Georgi Onchev
Hristo Dimitrov
Roberto Mezzina
Kinou Wolf
Durk Wiersma
Ellen Visser
Andrzej Kiejna
Patryk Piotrowski
Dimitri Ploumpidis
Fragiskos Gonidakis
José Caldas-de-Almeida
Graça Cardoso
Michael B King
St George's, University of London · GBCharles University · CZMedical University of Sofia · BGUniversity College London · GBUniversity Hospital Carl Gustav Carus · DEUniversity of Lisbon · PTUniversity of Trieste · ITWroclaw Medical University · PLCentro de Investigación Biomédica en Red de Salud Mental · ESMental Health Research Institute · AUMental Health Research UK · GBUniversidad de Granada · ESUniversity Medical Center Groningen · NLUniversity Mental Health Research Institute · GRUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA proportion of people with mental health problems require longer term care in a psychiatric or social care institution. However, there are no internationally agreed quality standards for institutional care and no method to assess common care standards across countries. We aimed to identify the key components of institutional care for people with longer term mental health problems and the effectiveness of these components.

methodsWe undertook a systematic review of the literature using comprehensive search terms in 11 electronic databases and identified 12,182 titles. We viewed 550 abstracts, reviewed 223 papers and included 110 of these. A "critical interpretative synthesis" of the evidence was used to identify domains of institutional care that are key to service users' recovery.

resultsWe identified eight domains of institutional care that were key to service users' recovery: living conditions; interventions for schizophrenia; physical health; restraint and seclusion; staff training and support; therapeutic relationship; autonomy and service user involvement; and clinical governance. Evidence was strongest for specific interventions for the treatment of schizophrenia (family psychoeducation, cognitive behavioural therapy (CBT) and vocational rehabilitation).

conclusionInstitutions should, ideally, be community based, operate a flexible regime, maintain a low density of residents and maximise residents' privacy. For service users with a diagnosis of schizophrenia, specific interventions (CBT, family interventions involving psychoeducation, and supported employment) should be provided through integrated programmes. Restraint and seclusion should be avoided wherever possible and staff should have adequate training in de-escalation techniques. Regular staff supervision should be provided and this should support service user involvement in decision making and positive therapeutic relationships between staff and service users. There should be clear lines of clinical governance that ensure adherence to evidence-based guidelines and attention should be paid to service users' physical health through regular screening.

Indexed as

Quality of Health CareClinical GovernanceCommunity Mental Health ServicesGuideline AdherenceHealth Care SurveysHumansInstitutionalizationLong-Term CareMental DisordersMeta-Analysis as TopicOutcome Assessment, Health CareQuality Assurance, Health CareRehabilitation, VocationalSchizophreniaSocial Work, Psychiatric

Identifiers

PMID19735562
PMCPMC2753585
OpenAlexW1995162735

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.