Evidence map›Paper›PMID 29713951›Full record

ArticlePharmacoEconomics - open2019

Accommodation and Health Costs of Deinstitutionalized People with Mental Illness Living in Residential Services in Brazil.

Denise Razzouk

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2019. 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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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

1 author.

Denise RazzoukDepartment of Psychiatry, Centro de Economia da Saúde Mental, Universidade Federal de São Paulo, Rua Borges Lagoa 570, Vila Clementino, São Paulo, 04038-000, Brazil. drazzouk@gmail.com.ORCID http://orcid.org/0000-0003-4228-8949

Funding

Fapesp 2009/53286-3
6 · The paper itself

Abstract

backgroundHealth costs are the main hindrances for expanding community mental health services. Exploring patient profiles and cost predictors may be useful for optimising financial resources. However, the deinstitutionalisation process may burden health budgets in terms of supporting multiple community services based on varying levels of need.

objectiveThis study assessed accommodation and health service costs, quality of life and clinical and psychosocial profiles among individuals receiving mental healthcare through residential services. Specific accommodation cost predictors were also verified.

methodsHealth costs were assessed from the perspective of a public health provider using a microcosting bottom-up approach at 20 residential services in São Paulo, Brazil. Instruments used to assess health costs and patient profiles included the Brazilian version of the Client Socio-demographic and Service Receipt Inventory (CSSRI), the Mini International Neuropsychiatric Interview (MINI), the Clinical Global Impression-Severity Scale (CGI-S), the Independent Living Skills Survey (ILLS), the Social Behaviour Scale (SBS) and the Quality of Life Scale (QLS).

resultsOne hundred and forty-seven residents, predominantly experiencing psychotic disorders, were interviewed. The geographical region and length of time spent living in residential services or in a psychiatric hospital predicted 66% of the variance in accommodation costs. The CGI-S and ILLS scores and years of education explained 52.7% of the variance in quality of life.

conclusionAccommodation costs were not driven by patient profile variables, while region and time spent in a hospital or in residential services were the main cost predictors. Semi-staffed homes may be an alternative for resource optimisation among individuals with mild impairment, particularly if strategies for psychosocial rehabilitation and improving quality of life are implemented.

Identifiers

PMID29713951
PMCPMC6393275

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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.