Psychiatric Intensive Treatment Facilities (PITF) are health inpatient settings for patients affected by sub-acute psychiatric disorders with impaired personal and social functioning. The aim of this study is to analyse the demographic and clinical variables related to long-stays in an Italian PITF in order to highlight the risk factors for stay lengthening. We retrospectively collected the selected variables from all patients and their stays in a PITF from 1 to 11-2016 to 31-10-2017.We divided the stays according to the median of duration, ≤29 and > 29 days, to compare selected variables in the two groups of stay length. Patients hospitalized for >29 days more frequently presented “Self-neglect”, nursing diagnosis NANDA-I, and needed economic social service support.Multiple linear regression revealed that the presence of some variables as “many medical consultations”, “economic social service support”, “clinical interviews extended to institutional figures” were statistically significantly associated with an increased stay duration, suggesting that both clinical severity and difficult economic conditions were associated with the lengthening of stay. The knowledge of these factors can contribute to improve psychiatric treatments, reducing potential risk conditions for patient institutional dependence.

Factors Associated with Long-Stays in an Italian Psychiatric Intensive Treatment Facility: 1-Year Retrospective Observational Analysis / Di Lorenzo, Rosaria; Teresa, Olmi; Rioli, Giulia; Galeazzi, Gian Maria; Ferri, Paola. - In: PSYCHIATRIC QUARTERLY. - ISSN 0033-2720. - (2019), pp. 1-12. [10.1007/s11126-018-9616-1]

Factors Associated with Long-Stays in an Italian Psychiatric Intensive Treatment Facility: 1-Year Retrospective Observational Analysis

Rosaria Di Lorenzo
;
RIOLI, GIULIA;Gian Maria Galeazzi;Paola Ferri
2019

Abstract

Psychiatric Intensive Treatment Facilities (PITF) are health inpatient settings for patients affected by sub-acute psychiatric disorders with impaired personal and social functioning. The aim of this study is to analyse the demographic and clinical variables related to long-stays in an Italian PITF in order to highlight the risk factors for stay lengthening. We retrospectively collected the selected variables from all patients and their stays in a PITF from 1 to 11-2016 to 31-10-2017.We divided the stays according to the median of duration, ≤29 and > 29 days, to compare selected variables in the two groups of stay length. Patients hospitalized for >29 days more frequently presented “Self-neglect”, nursing diagnosis NANDA-I, and needed economic social service support.Multiple linear regression revealed that the presence of some variables as “many medical consultations”, “economic social service support”, “clinical interviews extended to institutional figures” were statistically significantly associated with an increased stay duration, suggesting that both clinical severity and difficult economic conditions were associated with the lengthening of stay. The knowledge of these factors can contribute to improve psychiatric treatments, reducing potential risk conditions for patient institutional dependence.
2019
28-nov-2018
1
12
Factors Associated with Long-Stays in an Italian Psychiatric Intensive Treatment Facility: 1-Year Retrospective Observational Analysis / Di Lorenzo, Rosaria; Teresa, Olmi; Rioli, Giulia; Galeazzi, Gian Maria; Ferri, Paola. - In: PSYCHIATRIC QUARTERLY. - ISSN 0033-2720. - (2019), pp. 1-12. [10.1007/s11126-018-9616-1]
Di Lorenzo, Rosaria; Teresa, Olmi; Rioli, Giulia; Galeazzi, Gian Maria; Ferri, Paola
File in questo prodotto:
File Dimensione Formato  
Factors Associated with Long-Stays.pdf

Accesso riservato

Descrizione: Articolo principale
Tipologia: Versione pubblicata dall'editore
Dimensione 426.65 kB
Formato Adobe PDF
426.65 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1171328
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 3
social impact