Evidence map›Paper›PMID 20473480›Full record

ArticleSocial psychiatry and psychiatric epidemiology2011

DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience.

Riccardo Pertile, Valeria Donisi, Laura Grigoletti, Andrea Angelozzi, Giuseppe Zamengo, Grazia Zulian, Francesco Amaddeo

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Article in Social psychiatry and psychiatric epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  15. Clinical outcome and length of stay in an Italian Psychiatric Emergency Service.Social psychiatry and psychiatric epidemiology · 2013
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Riccardo PertileSection of Psychiatry and Clinical Psychology, Department of Public Health and Community Medicine, University of Verona, Policlinico G.B. Rossi, Piazzale L.A. Scuro 10, 37134 Verona, Italy. riccardo.pertile@univr.it
Valeria Donisi
Laura Grigoletti
Andrea Angelozzi
Giuseppe Zamengo
Grazia Zulian
Francesco Amaddeo
University of Verona · ITAzienda ULSS 9 TREVISO · ITRegione del Veneto · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to identify services-related and area-based measures together with socio-demographic factors that could improve diagnosis-related groups in explaining length of stay variability in general hospital psychiatric units in Veneto Region (North East of Italy).

methodsData were collected from the regional hospital discharge records database. A hierarchical multiple regression model with only diagnosis-related groups as predictors of actual and ln-transformed length of stay was compared with a second model in which patient-, service- and area-level variables were included. Local health district was used as group-level in the hierarchical multiple regression analysis.

resultsThe only diagnosis explains 6.4% of actual length of stay total variance (14.8% for ln-transformation). In the second model length of stay resulted related also to gender, age, severity of hospitalization, patient's local health district, number of psychiatrists, psychologists, hospital attendants/nurses, social workers and educators in the general hospital psychiatric units, number of outpatients in each local health district and percentages of divorced and single people, with almost a 2% point increase on actual length of stay in explained variance (5% point increase for ln-transformation).

conclusionsFor the first time the hospital discharge card regional survey of all public acute inpatient psychiatric facilities in Veneto Region were used. The innovative aspect of this study was the attempt to investigate the relationship between length of stay and other indexes, characterizing not only the inpatient facilities, but also the resident population structure in each area. The information about factors that influence length of stay can be useful to inform service planning and resource allocation.

Indexed as

AdolescentAdultAgedAged, 80 and overDiagnosis-Related GroupsFemaleHumansItalyLength of StayMaleMental DisordersMiddle AgedMultivariate AnalysisPsychiatric Department, HospitalRegression AnalysisYoung Adult

Identifiers

PMID20473480
OpenAlexW2151969739

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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.