» Articles » PMID: 32547274

Retrospective Analysis of Factors Associated with Long-Stay Hospitalizations in an Acute Psychiatric Ward

Overview
Publisher Dove Medical Press
Specialty Public Health
Date 2020 Jun 18
PMID 32547274
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To evaluate the longest hospitalizations in an acute psychiatric ward [Service of Psychiatric Diagnosis and Treatment (SPDT)] and the related demographic, clinical and organizational variables to understand the factors that contribute to long-stay (LOS) phenomenon. The term "long stay" indicates clinical, social and organizational problems responsible for delayed discharges. In psychiatry, clinical severity, social dysfunction and/or health-care system organization appear relevant factors in prolonging stays.

Patients And Methods: We divided all the SPDT hospitalizations from 1 January 2010 to 31 December 2015 into two groups based on the 97.5 percentile of duration: ≤36 day (n=3254) and >36 day (n=81) stays, in order to compare the two groups for the selected variables. Comparisons were made using Pearson's chi-square for categorical data and -test for continuous variables, the correlation between the LOS, as a dependent variable, and the selected variables was analyzed in stepwise multiple linear regression and in multiple logistic regression models.

Results: The longest hospitalizations were significantly related to the diagnosis of "schizophrenia and other psychosis" (Pearson Chi=17.24; p=0.045), the presence of moderate and severe aggressiveness (Pearson chi=29; p=0.000), compulsory treatment (Pearson Chi=8.05; p=0.005), parenteral or other route administration of psycho-pharmacotherapy (Pearson Chi=12.91; p=0.007), poli-therapy (Pearson Chi=6.40; p=0.041), complex psychiatric activities (Pearson Chi=12.26; p=0.002) and rehabilitative programs (Pearson Chi=37.05; p=0.000) during the hospitalization and at discharge (Pearson Chi=29.89; p=0.000). Many demographic and clinical variables were statistically significantly correlated to the LOS at our multiple linear and logistic regression model.

Conclusion: In our sample, clinical illness severity and need for complex therapeutic and rehabilitative treatments were associated with prolonged psychiatric hospitalizations. Understanding this phenomenon can have not only economic but also clinical, ethical and social relevance.

Citing Articles

Predictors of the length of stay in psychiatric inpatient units: a retrospective study for the Paris Psychiatry Hospital Group.

Barruel D, Perozziello A, Lefevre H, Msellati A, Launay C, Dauriac-Le Masson V Front Psychiatry. 2024; 15:1463415.

PMID: 39359856 PMC: 11445158. DOI: 10.3389/fpsyt.2024.1463415.


Involuntary Hospitalizations in an Italian Acute Psychiatric Ward: A 6-Year Retrospective Analysis.

Di Lorenzo R, Reami M, Dragone D, Morgante M, Panini G, Rovesti S Patient Prefer Adherence. 2023; 17:3403-3420.

PMID: 38111689 PMC: 10726769. DOI: 10.2147/PPA.S437116.


Group Therapy with Peer Support Provider Participation in an Acute Psychiatric Ward: 1-Year Analysis.

Di Lorenzo R, DAmore J, Amoretti S, Bonisoli J, Gualtieri F, Ragazzini I Healthcare (Basel). 2023; 11(20).

PMID: 37893846 PMC: 10606331. DOI: 10.3390/healthcare11202772.


Exploring risk factors for re-hospitalization in a psychiatric inpatient setting: a retrospective naturalistic study.

Berardelli I, Sarubbi S, Rogante E, Erbuto D, Cifrodelli M, Giuliani C BMC Psychiatry. 2022; 22(1):821.

PMID: 36550540 PMC: 9783999. DOI: 10.1186/s12888-022-04472-3.


A Retrospective Study on the Factors Associated with Long-Stay Hospitalization in a Child Neuropsychiatry Unit.

Zanato S, Miscioscia M, Traverso A, Gatto M, Poli M, Raffagnato A Healthcare (Basel). 2021; 9(9).

PMID: 34575015 PMC: 8465245. DOI: 10.3390/healthcare9091241.


References
1.
Dimitri G, Giacco D, Bauer M, Bird V, Greenberg L, Lasalvia A . Predictors of length of stay in psychiatric inpatient units: Does their effect vary across countries?. Eur Psychiatry. 2018; 48:6-12. DOI: 10.1016/j.eurpsy.2017.11.001. View

2.
Tulloch A, Fearon P, David A . Length of stay of general psychiatric inpatients in the United States: systematic review. Adm Policy Ment Health. 2010; 38(3):155-68. DOI: 10.1007/s10488-010-0310-3. View

3.
Dieterich M, Irving C, Bergman H, Khokhar M, Park B, Marshall M . Intensive case management for severe mental illness. Cochrane Database Syst Rev. 2017; 1:CD007906. PMC: 6472672. DOI: 10.1002/14651858.CD007906.pub3. View

4.
Badriah F, Abe T, Nabeshima Y, Ikeda K, Kuroda K, Hagihara A . Predicting the length of hospital stay of psychiatry patients using signal detection analysis. Psychiatry Res. 2013; 210(3):1211-8. DOI: 10.1016/j.psychres.2013.09.019. View

5.
Bird V, Giacco D, Nicaise P, Pfennig A, Lasalvia A, Welbel M . In-patient treatment in functional and sectorised care: patient satisfaction and length of stay. Br J Psychiatry. 2018; 212(2):81-87. DOI: 10.1192/bjp.2017.20. View