Skip to main content
Top
Published in:

Open Access 01-12-2023 | Nosocomial Infection | Research

Predictors of readmission in a medical department of a tertiary university hospital in the Philippines

Authors: Janika Adrienne L. Balane, Celina Daia DG. Yap, Cary Amiel G. Villanueva, Lia Aileen M. Palileo-Villanueva, Diana R. Tamondong-Lachica

Published in: BMC Health Services Research | Issue 1/2023

Login to get access

Abstract

Background

Identifying factors that increase the risk for hospital readmission helps in determining potential targets for quality improvement efforts. The main objective of this study was to examine factors that predict increased risk of hospital readmission within 30 days of hospital discharge of patients under the General Medicine service of a tertiary government hospital in Manila, Philippines.

Methods

We performed a retrospective cohort study which included service patients 19 years old and above readmitted within 30 days following discharge. A total of 324 hospital readmissions within 30 days of discharge from January 1 to December 31, 2019 were reviewed. We estimated the rate of 30-day readmission and identified factors associated with preventable readmissions using multivariable logistic regression.

Results

Of the 4,010 hospitalizations under General Medicine service in 2019, 602 (18%) were readmissions within 30 days of discharge, majority of which were related to the index admission (90%) and unplanned (68%). Predictors of preventable readmission were emergency readmission (OR 3.37, 95% CI 1.72 to 6.60), having five to ten medications at discharge (OR 1.78, 95% CI 1.10 to 2.87), and presence of nosocomial infection (OR 1.86, 95% CI 1.09 to 3.17). The most frequent reason for readmission among preventable ones is health-care related infection (42.9%).

Conclusions

We identified factors which increased the likelihood of preventable readmissions such as type of readmission, number of medications per day, and presence of nosocomial infections. We propose that these issues be addressed to improve healthcare delivery and reduce readmission-related expenditures. Further studies should be pursued to identify impactful evidence-based practices.
Appendix
Available only for authorised users
Literature
1.
go back to reference Conner KO, Meng H, Marino V, Boaz T. Individual and organizational factors associated with hospital readmission rates: evidence from a U.S. national sample. J Appl Gerontol. 2020;39(10):1153–8.CrossRefPubMed Conner KO, Meng H, Marino V, Boaz T. Individual and organizational factors associated with hospital readmission rates: evidence from a U.S. national sample. J Appl Gerontol. 2020;39(10):1153–8.CrossRefPubMed
5.
go back to reference Wong E, Cheung A, Leung M, Yam C, Chan F, Wong F, Yeoh E. Unplanned readmission rates, length of hospital stay, mortality, and medical costs of ten common medical conditions: a retrospective analysis of Hong Kong hospital data. BMC Health Services Research. 2011;11:149.CrossRefPubMedPubMedCentral Wong E, Cheung A, Leung M, Yam C, Chan F, Wong F, Yeoh E. Unplanned readmission rates, length of hospital stay, mortality, and medical costs of ten common medical conditions: a retrospective analysis of Hong Kong hospital data. BMC Health Services Research. 2011;11:149.CrossRefPubMedPubMedCentral
6.
go back to reference de Castro MSM, Carvalho MS, Travassos C. Factors associated with readmission to a general hospital in Brazil. Cad Saude Publica. 2005;21(4):1186–200.CrossRef de Castro MSM, Carvalho MS, Travassos C. Factors associated with readmission to a general hospital in Brazil. Cad Saude Publica. 2005;21(4):1186–200.CrossRef
7.
go back to reference Berry J, Gay J, Maddox KJ, Coleman E, Bucholz E, O’Neill M, Blaine K, Hall M. Age trends in 30 day hospital readmissions: US national retrospective analysis. BMJ. 2018;360:k497.CrossRefPubMedPubMedCentral Berry J, Gay J, Maddox KJ, Coleman E, Bucholz E, O’Neill M, Blaine K, Hall M. Age trends in 30 day hospital readmissions: US national retrospective analysis. BMJ. 2018;360:k497.CrossRefPubMedPubMedCentral
12.
go back to reference Bianco A, Mole` A, Nobile CGA, Di Giuseppe G, Pileggi C, et al. Hospital readmission prevalence and analysis of those potentially avoidable in Southern Italy. PLoS One. 2012;7(11):e48263.CrossRefPubMedPubMedCentral Bianco A, Mole` A, Nobile CGA, Di Giuseppe G, Pileggi C, et al. Hospital readmission prevalence and analysis of those potentially avoidable in Southern Italy. PLoS One. 2012;7(11):e48263.CrossRefPubMedPubMedCentral
13.
Metadata
Title
Predictors of readmission in a medical department of a tertiary university hospital in the Philippines
Authors
Janika Adrienne L. Balane
Celina Daia DG. Yap
Cary Amiel G. Villanueva
Lia Aileen M. Palileo-Villanueva
Diana R. Tamondong-Lachica
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2023
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-023-09608-z

Other articles of this Issue 1/2023

BMC Health Services Research 1/2023 Go to the issue