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Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study

Background. The ability to accurately predict hospital length of stay (LOS) or time to discharge could aid in resource planning, stimulate quality improvement activities, and provide evidence for future research and medical practice. This study aimed to determine the predictive factors of time to di...

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Autores principales: Sahiledengle, Biniyam, Tekalegn, Yohannes, Zenbaba, Demisu, Woldeyohannes, Demelash, Teferu, Zinash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649955/
https://www.ncbi.nlm.nih.gov/pubmed/33225021
http://dx.doi.org/10.1177/2333794X20968715
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author Sahiledengle, Biniyam
Tekalegn, Yohannes
Zenbaba, Demisu
Woldeyohannes, Demelash
Teferu, Zinash
author_facet Sahiledengle, Biniyam
Tekalegn, Yohannes
Zenbaba, Demisu
Woldeyohannes, Demelash
Teferu, Zinash
author_sort Sahiledengle, Biniyam
collection PubMed
description Background. The ability to accurately predict hospital length of stay (LOS) or time to discharge could aid in resource planning, stimulate quality improvement activities, and provide evidence for future research and medical practice. This study aimed to determine the predictive factors of time to discharge among patients admitted to the neonatal intensive care unit (NICU) and pediatric ward in Goba referral hospital, Ethiopia. Methods. A facility-based prospective follow up study was conducted for 8 months among 438 patients. Survival analyses were carried out using the Kaplan Meier statistics and Cox regression model. Results. The median length of hospital stay was 7 days (95% confidence interval (CI): 6.45-7.54) and 6 days (95% CI: 5.21-6.78) for patients admitted to NICU and pediatric ward, respectively. In the multivariable Cox regression, the hazard of neonatal patients with less than 37 weeks of gestational age, low birth weight, and those who develop hospital-acquired infection (HAI) after admission had prolonged time to discharge by 54% [adjusted hazard ratio (AHR): 0.46, (95% CI: 0.31-0.66)], 40% [AHR: 0.60, (95% CI: 0.40-0.90)], and 56% [AHR: 0.44, (95% CI: 0.26-0.74)], respectively. The rate of time to discharge among patients who were admitted to the pediatric ward and had HAI delayed discharge time by 49% [AHR: 0.51, (95% CI: 0.30-0.85)] compared to their counterparts. Conclusion. Hospital-acquired infections prolonged hospital stay among neonates and children admitted to the pediatric ward. On a similar note, low gestational age and low birth weight were found to be the independent predictor of longer hospital stay among neonates.
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spelling pubmed-76499552020-11-19 Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study Sahiledengle, Biniyam Tekalegn, Yohannes Zenbaba, Demisu Woldeyohannes, Demelash Teferu, Zinash Glob Pediatr Health Original Article Background. The ability to accurately predict hospital length of stay (LOS) or time to discharge could aid in resource planning, stimulate quality improvement activities, and provide evidence for future research and medical practice. This study aimed to determine the predictive factors of time to discharge among patients admitted to the neonatal intensive care unit (NICU) and pediatric ward in Goba referral hospital, Ethiopia. Methods. A facility-based prospective follow up study was conducted for 8 months among 438 patients. Survival analyses were carried out using the Kaplan Meier statistics and Cox regression model. Results. The median length of hospital stay was 7 days (95% confidence interval (CI): 6.45-7.54) and 6 days (95% CI: 5.21-6.78) for patients admitted to NICU and pediatric ward, respectively. In the multivariable Cox regression, the hazard of neonatal patients with less than 37 weeks of gestational age, low birth weight, and those who develop hospital-acquired infection (HAI) after admission had prolonged time to discharge by 54% [adjusted hazard ratio (AHR): 0.46, (95% CI: 0.31-0.66)], 40% [AHR: 0.60, (95% CI: 0.40-0.90)], and 56% [AHR: 0.44, (95% CI: 0.26-0.74)], respectively. The rate of time to discharge among patients who were admitted to the pediatric ward and had HAI delayed discharge time by 49% [AHR: 0.51, (95% CI: 0.30-0.85)] compared to their counterparts. Conclusion. Hospital-acquired infections prolonged hospital stay among neonates and children admitted to the pediatric ward. On a similar note, low gestational age and low birth weight were found to be the independent predictor of longer hospital stay among neonates. SAGE Publications 2020-11-03 /pmc/articles/PMC7649955/ /pubmed/33225021 http://dx.doi.org/10.1177/2333794X20968715 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Sahiledengle, Biniyam
Tekalegn, Yohannes
Zenbaba, Demisu
Woldeyohannes, Demelash
Teferu, Zinash
Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study
title Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study
title_full Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study
title_fullStr Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study
title_full_unstemmed Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study
title_short Which Factors Predict Hospital Length-of-Stay for Children Admitted to the Neonatal Intensive Care Unit and Pediatric Ward? A Hospital-Based Prospective Study
title_sort which factors predict hospital length-of-stay for children admitted to the neonatal intensive care unit and pediatric ward? a hospital-based prospective study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649955/
https://www.ncbi.nlm.nih.gov/pubmed/33225021
http://dx.doi.org/10.1177/2333794X20968715
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