ArticleEpidemiology and psychiatric sciences2016
Differences in the use of involuntary admission across the Veneto Region: which role for individual and contextual variables?
Article in Epidemiology and psychiatric sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical and social factors associated with increased risk for involuntary psychiatric hospitalisation: a systematic review, meta-analysis, and narrative synthesis.The lancet. Psychiatry · 2019Pooled it
- Effects of COVID-19 pandemic on psychiatric and psychological consultation-liaison contacts in a general hospital in North-East of Italy: a retrospective study.Frontiers in psychiatry · 2024Article
- Beyond Patient Characteristics: A Narrative Review of Contextual Factors Influencing Involuntary Admissions in Mental Health Care.Healthcare (Basel, Switzerland) · 2023Review
- Article
- Measuring the level of compulsory hospitalisation in mental health care: The performance of different measures across areas and over time.International journal of methods in psychiatric research · 2021Article
- Are patients improving during and after a psychiatric hospitalisation? Continuity of care outcomes of compulsory and voluntary admissions to an Italian psychiatric ward.Journal of public health research · 2021Article
- Predicting involuntary hospitalization in psychiatry: A machine learning investigation.European psychiatry : the journal of the Association of European Psychiatrists · 2021Article
- Factors associated with involuntary psychiatric hospitalization in Portugal.International journal of mental health systems · 2021Article
- Factors associated with involuntary admissions: a register-based cross-sectional multicenter study.Annals of general psychiatry · 2021Article
- Service Characteristics and Geographical Variation in Compulsory Hospitalisation: An Exploratory Random Effects Within-Between Analysis of Norwegian Municipalities, 2015-2018.Frontiers in psychiatry · 2021Article
- Clinical and organizational factors predicting readmission for mental health patients across Italy.Social psychiatry and psychiatric epidemiology · 2020Article
- Geographic variations in involuntary care and associations with the supply of health and social care: results from a nationwide study.BMC health services research · 2018Article
- Involuntary admission in Norwegian adult psychiatric hospitals: a systematic review.International journal of mental health systems · 2018Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe first aim of this study is to compare involuntary admissions across the Veneto Region in Italy. The second aim is to explore the relation between mental health services provision, characteristics of population, individual factors and involuntary admissions.
methodsFor 21 Mental Health Departments (MHDs) in the Veneto Region (Italy), the average population prevalence rate of involuntary admissions between 2000 and 2007 and the percentage of involuntary admissions were calculated. Chi-square tests for equality of proportions were used to test hypotheses. Variables at the individual, contextual and organisational levels were used in multiple regressions, with the involuntary admission data as dependent variables.
resultsThe average prevalence rate of involuntary commitment was 12.75 ranging from 1.96 to 27.59 across MHDs . About 75% of the involuntary admissions referred to psychotic patients, and almost half of patients were aged 25-44. Significant differences among MHDs emerged; higher percentages of involuntary admissions were generally found in densely populated areas. Higher ageing indices and rates of social workers were found as predictors of the prevalence rate. In the multilevel regression, being males and psychotic significantly increased involuntary admissions, while the percentage of singles in population decreased it.
conclusionsThis study contributes to define the specific contribution of each factor predicting the use of involuntary admission, even within areas under the same legislation. It shows how the inclusion of both individual and contextual factors may lead to better predictions and provides precious data for the services improvement.
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