» Articles » PMID: 36217492

Predictors of Behavioral Health Unit Readmission Within 30 Days of Discharge: A Retrospective Study

Overview
Journal Heliyon
Specialty Social Sciences
Date 2022 Oct 11
PMID 36217492
Authors
Affiliations
Soon will be listed here.
Abstract

Several studies have aimed to describe associated demographic and psychiatric risk factors that would lead to readmission to a behavioral health unit within 30 days of discharge. Here we considered 1,095 patients that were discharged from Millcreek Community Hospital (MCH) in Erie, Pennsylvania between June 2018 and June 2019. We extracted electronic medical data and analyzed various risk factors using a SPSS software and performed Chi square analysis to determine significance. We determined that patients between the age 30-39 that were diagnosed with major depressive disorder or bipolar disorder, and patients that had 12 or more previous behavioral health admissions were significantly more likely to be readmitted within 30 days of discharge. By analyzing risk factors that lead to a higher percentage of readmission rates, physicians can be more readily equipped and prepared while treating inpatient psychiatric patients. These physicians can take more precautionary measures when discharging patients with specific characteristic profiles to prevent the risk of being readmitted within 30 days of discharge.

Citing Articles

Independent Predictors of 30-Day Readmission to Acute Psychiatric Wards in Patients With Mental Disorders: A Systematic Review and Meta-Analysis.

Muhammad N, Talpur S, Sangroula N, Washdave F Cureus. 2023; 15(7):e42490.

PMID: 37637588 PMC: 10453981. DOI: 10.7759/cureus.42490.

References
1.
Pitts S, Pines J, Handrigan M, Kellermann A . National trends in emergency department occupancy, 2001 to 2008: effect of inpatient admissions versus emergency department practice intensity. Ann Emerg Med. 2012; 60(6):679-686.e3. DOI: 10.1016/j.annemergmed.2012.05.014. View

2.
Schmidt E, Behar S, Barrera A, Cordova M, Beckum L . Potentially Preventable Medical Hospitalizations and Emergency Department Visits by the Behavioral Health Population. J Behav Health Serv Res. 2017; 45(3):370-388. DOI: 10.1007/s11414-017-9570-y. View

3.
Liu Q, He H, Yang J, Feng X, Zhao F, Lyu J . Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study. J Psychiatr Res. 2019; 126:134-140. DOI: 10.1016/j.jpsychires.2019.08.002. View

4.
Sfetcu R, Musat S, Haaramo P, Ciutan M, Scintee G, Vladescu C . Overview of post-discharge predictors for psychiatric re-hospitalisations: a systematic review of the literature. BMC Psychiatry. 2017; 17(1):227. PMC: 5483311. DOI: 10.1186/s12888-017-1386-z. View

5.
Leon S, Stoner A, Dickson D . Does the Hospital Predict Readmission? A Multi-level Survival Analysis Approach. Adm Policy Ment Health. 2015; 43(4):514-23. DOI: 10.1007/s10488-015-0654-9. View