Evidence map›Paper›PMID 35262618›Full record

ArticleRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)

Real world evidence in involuntary psychiatric hospitalizations: 64,685 cases.

Christina Fornazari, Martha Canfield, Ronaldo Laranjeira

Abstract read
In one paragraph

Article in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Christina FornazariDepartamento de Psiquiatria, Universidade Federal de São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-6200-3889
Martha CanfieldDepartment of Psychology, Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0002-4494-8237
Ronaldo LaranjeiraDepartamento de Psiquiatria, Universidade Federal de São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-3009-1778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe explored hospitalization patterns and the clinical and individual characteristics of a large cohort of patients who underwent involuntary psychiatric hospitalization in Brazil (n=64,685).

methodsData were collected from the District Attorney's Office of the State of São Paulo (Ministério Público do Estado de São Paulo) on all involuntary psychiatric hospitalizations in the city of São Paulo between January 2003 and February 2020. The annual involuntary psychiatric hospitalization rate was calculated and descriptive statistics of the characteristics were produced.

resultsInvoluntary psychiatric hospitalizations increased from 5.8 to 25.5 per 100,000 population, with an eight-folder increase in the first 10-year period (2003-2013). The majority of admissions were to public institutions (86.6%), involved a psychotic disorder in the primary diagnosis (26.1%), involved more than one diagnosis (83.7%), and lasted less than 7 days (52.4%). The majority of the patients were aged 18 to 39 years and were single, and readmission was relatively common (13%). Although the reason for admission was missing in many reports (44%), the risk of harm to self or others was the most common (68.5%).

conclusionThis is one of the largest cohorts of involuntary psychiatric hospitalization records ever explored. These findings build upon existing international evidence about involuntary psychiatric hospitalizations and show recent trends in admission rates in the largest city in Brazil.

Indexed as

Mental DisordersPsychotic DisordersBrazilCommitment of Persons with Psychiatric DisordersHospitalizationHumans

Identifiers

PMID35262618
PMCPMC9169477

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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.