Observational studyThe Psychiatric quarterly2019
Factors Associated with Long-Stays in an Italian Psychiatric Intensive Treatment Facility: 1-Year Retrospective Observational Analysis.
Observational study in The Psychiatric quarterly, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- A systematic review of in-patient psychiatric care for people with intellectual disabilities and/or autism: effectiveness, patient safety and experience.BJPsych open · 2022Review
- Therapeutic Factors in a Psychiatric Group Therapy: a Preliminary Validation of Therapeutic Factors Inventory-8, Italian Version.The Psychiatric quarterly · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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