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Predictors of and reasons for early discharge from an inpatient withdrawal management service
Dissertation Abstracts International: Section B: The Sciences and Engineering ; 83(12-B):No Pagination Specified, 2022.
Article in English | APA PsycInfo | ID: covidwho-2073359
ABSTRACT
Early discharges, also known as against medical advice discharges, are a significant concern in inpatient withdrawal management settings. Early discharges are associated with negative outcomes for patients and are costly for the healthcare system. A recent scoping review found gaps in the literature regarding patient perspectives, and a lack of research exploring predictors of early discharge according to demographic factors such as sex or gender which are known to influence healthcare experiences. It is vital to advance our understanding of patient perceptions of early discharges and what may predict them in order to prevent early discharges from occurring.The aim of this research was to investigate possible predictors of early discharge and patient experiences of early discharge from an inpatient withdrawal management service in Toronto, Ontario, Canada. This aim was accomplished using 2 studies. A retrospective cohort study using administrative health data was conducted to examine independent predictors of early discharge among patients admitted to an inpatient withdrawal management service between 2016 and 2020. Sex-stratified analyses using logistic regression and generalized estimating equations revealed that weekends and younger age were the strongest predictors of early discharge for both males and females. Among females only, being part of an ethnic minority group predicted early discharge.A qualitative descriptive study was conducted to explore patient perceptions of precipitants and processes related to early discharge. Thirteen people who had recently experienced an early discharge participated in the study and reported that precipitants to early discharge included external pressures, concerns about COVID-19, and dissatisfaction. Participants also described hitting a wall or reaching a breaking point prior to early discharge. Further, they often described difficult conversations about their desire to leave early and had mixed perceptions of their early discharge experience. This research demonstrates that there may be opportunities to prevent early discharges by responding to sources of dissatisfaction and exploring contributing factors during high-risk times such as weekends. Further, this research indicates that patient experiences could be improved by modifying processes associated with early discharge when they cannot be prevented. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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Collection: Databases of international organizations Database: APA PsycInfo Type of study: Prognostic study Language: English Journal: Dissertation Abstracts International: Section B: The Sciences and Engineering Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: APA PsycInfo Type of study: Prognostic study Language: English Journal: Dissertation Abstracts International: Section B: The Sciences and Engineering Year: 2022 Document Type: Article