Evidence map›Paper›PMID 27167133›Full record

ArticleThe Psychiatric quarterly2017

Predictors of Length of Stay in an Inpatient Psychiatric Unit of a General Hospital in Perugia, Italy.

Luca Pauselli, Norma Verdolini, Francesco Bernardini, Michael T Compton, Roberto Quartesan

Abstract read
PubMed Publisher
In one paragraph

Article in The Psychiatric quarterly, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
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  4. Observational
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  7. The benefits and harms of inpatient involuntary psychiatric treatment: a scoping review.Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2025
    Article
  8. Observational
  9. Article
  10. Article
  11. Review
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  13. Predictors of Length of Hospitalization and Impact on Early Readmission for Mental Disorders.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. 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

5 authors at 3 institutions in 2 countries.

Luca PauselliScuola di Specializzazione in Psichiatria, Università degli Studi di Perugia, Piazzale Lucio Severi, Edificio Ellisse, 8 Piano, Sant'Andrea delle Fratte, 06132, Perugia, PG, Italy. pauselli.luca@gmail.com.
Norma VerdoliniScuola di Specializzazione in Psichiatria, Università degli Studi di Perugia, Piazzale Lucio Severi, Edificio Ellisse, 8 Piano, Sant'Andrea delle Fratte, 06132, Perugia, PG, Italy.
Francesco BernardiniScuola di Specializzazione in Psichiatria, Università degli Studi di Perugia, Piazzale Lucio Severi, Edificio Ellisse, 8 Piano, Sant'Andrea delle Fratte, 06132, Perugia, PG, Italy.
Michael T ComptonDepartment of Psychiatry, Lenox Hill Hospital, New York, NY, USA.
Roberto QuartesanOspedale Santa Maria della Misericordia, Perugia, Italy.
Ospedale Santa Maria · ITUniversity of Perugia · ITLenox Hill Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to understand which of a number of factors are most associated with psychiatric inpatient length of stay (LoS). We hypothesized that a longer LoS would be predicted by: older age, male gender, unmarried marital status, foreign nationality, more than one hospitalization, being hospitalized involuntarily, psychotic symptoms and behavioral dyscontrol at admission, discharge diagnosis of psychotic and personality disorders, not having a substance use disorder, treatment with more than one class of medications, and being discharged to a community residential facility. All admissions to the Psychiatric Inpatient Unit of Santa Maria della Misericordia, Perugia Hospital, Umbria, Italy, from June 2011 to June 2014, were included in a medical record review. Bivariate analyses were performed and a multiple linear regression model was built using variables that were associated (p < .05) with LoS in bivariate tests. The study sample included 1236 patients. In the final, most parsimonious regression model, five variables independently explained 18 % of variance in LoS: being admitted involuntarily, being admitted for thought disorders, not having a substance-related disorder, having had more than one hospitalization, and being discharged to a community residential facility. LoS on this inpatient psychiatric unit in Umbria was associated with a number of sociodemographic and clinical characteristics. Knowledge of these and other predictors of LoS will be increasingly important to, when possible, reduce the length of restrictive, costly hospitalizations and embrace community-based services.

Indexed as

AdultAge FactorsCommitment of Persons with Psychiatric DisordersEthnicityFemaleHospitalizationHospitals, GeneralHospital UnitsHumansItalyLength of StayMaleMarital StatusMental DisordersMiddle AgedMood DisordersInpatient psychiatryInvoluntary treatmentLength of staySubstance-related disordersThought disorders

Identifiers

PMID27167133
OpenAlexW2384205531

What OpenQuestion holds

Textmetadata
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.