What Factors Increase Odds of Long-Stay Delayed Discharge in Alternate Level of Care Patients?

Quinten A Carfagnini; Anteneh Ayanso; Madelyn P Law; Elaina Orlando; Brent E Faught

doi:10.1016/j.jamda.2023.02.104

What Factors Increase Odds of Long-Stay Delayed Discharge in Alternate Level of Care Patients?

J Am Med Dir Assoc. 2023 Sep;24(9):1327-1333. doi: 10.1016/j.jamda.2023.02.104. Epub 2023 Mar 27.

Authors

Quinten A Carfagnini¹, Anteneh Ayanso², Madelyn P Law³, Elaina Orlando⁴, Brent E Faught³

Affiliations

¹ Faculty of Applied Health Sciences, Brock University, St. Catharines, Ontario, Canada. Electronic address: qc13kj@brocku.ca.
² Goodman School of Business, Brock University, St. Catharines, Ontario, Canada.
³ Faculty of Applied Health Sciences, Brock University, St. Catharines, Ontario, Canada.
⁴ Faculty of Applied Health Sciences, Brock University, St. Catharines, Ontario, Canada; Niagara Health, St. Catharines, Ontario, Canada.

PMID: 36996875
DOI: 10.1016/j.jamda.2023.02.104

Abstract

Objective: The objective of this study was to determine the factors that increase the odds of long-stay delayed discharge in alternate level of care (ALC) patients using data collected from the Ontario Wait Time Information System (WTIS) database.

Design: Retrospective cohort study utilizing data from Niagara Health's WTIS database. WTIS includes individuals admitted to any of the Niagara Health sites that have been designated as ALC.

Setting and participants: Sample consisted of 16,429 ALC patients who received care in Niagara Health hospitals from September 2014 to September 2019 and were recorded in the WTIS database.

Methods: ALC designation of 30 or more days was used as the threshold for a long-stay delayed discharge. This study used binary logistic regression modeling to analyze sex, age, admission source, and discharge destination as well needs/barriers requirements to assess the likelihood of a long-stay delayed discharge among acute care (AC) and post-acute care (PAC) patients given the presence of each variable. Sample sizes calculations and receiver operating characteristic curves were used to verify the validity of the regression model.

Results: Overall, 10.2% of the sample were considered long-stay ALC patients. Both AC and PAC long-stay ALC patients were more likely to be male [OR = 1.23, (1.06-1.43); OR = 1.28, (1.03-1.60)] and have a discharge destination of a long-term care bed [OR = 28.68, (22.83-36.04); OR = 6.22, (4.75-8.15)]. AC patients had bariatric [OR = 7.16, (3.45-14.83)], behavioral [OR = 1.89, (1.22-2.91)], infection (isolation) [OR = 2.31, (1.63-3.28)], and feeding [OR = 6.38, (1.82-22.30)] barriers hindering discharge. PAC patients had no significant barriers hindering patient discharge.

Conclusions and implications: Shifting the focus from ALC patient designation to short- vs long-stay ALC patients allowed this study to focus on the subset of patients that are disproportionately affecting delayed discharges. Understanding the importance of specialized patient requirements in addition to clinical factors can help hospitals become more prepared in preventing delayed discharges.

Keywords: Delayed discharge; alternate level of care (ALC); patient flow; post-acute care.

MeSH terms

Female
Hospitalization*
Humans
Length of Stay
Long-Term Care
Male
Patient Discharge*
Retrospective Studies