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Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis

BACKGROUND: Length of hospital stay (LOS) is one of the essential indicators for evaluating the efficiency and the quality-of-care service delivered. predicting LOS is critical for resource allocation, decision-making, lowering neonatal morbidity and death, enhancing clinical outcomes and parent cou...

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Autores principales: Bonger, Zelalem Tazu, Mamo, Biniyam Tedla, Birra, Sosna Bayu, Yalew, Alemayehu Worku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663218/
https://www.ncbi.nlm.nih.gov/pubmed/38027273
http://dx.doi.org/10.3389/fped.2023.1268087
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author Bonger, Zelalem Tazu
Mamo, Biniyam Tedla
Birra, Sosna Bayu
Yalew, Alemayehu Worku
author_facet Bonger, Zelalem Tazu
Mamo, Biniyam Tedla
Birra, Sosna Bayu
Yalew, Alemayehu Worku
author_sort Bonger, Zelalem Tazu
collection PubMed
description BACKGROUND: Length of hospital stay (LOS) is one of the essential indicators for evaluating the efficiency and the quality-of-care service delivered. predicting LOS is critical for resource allocation, decision-making, lowering neonatal morbidity and death, enhancing clinical outcomes and parent counseling. In addition, extended hospital stays (long LOS_NICU) place a burden on the healthcare systems decreasing bed turnover rates as well as their financial stand and the mental stress on families. In Ethiopia, there is limited evidence on the determinant factors that influence on LOS. OBJECTIVES: To determine factors affecting neonatal intensive care unit length of stay for all preterm newborns who were discharged alive. METHOD: The study used a secondary data source, was collected for the Study of Illness in Preterm (SIP) infants project. The research study was a multicenter, cross-sectional, observational clinical study that took place in five Ethiopia hospitals from July 1, 2016, to May 31, 2018. The predictors of LOS were determined using Fine-Gray's competing risk analysis. RESULTS: For this study 3,511 preterm infants admitted to the NICU were analyzed. About 28.8% of the preterm infants died during their time in neonatal care while 66.6% were discharged alive. At the end of the study 4.6% babies were still in the NICU. The overall median LOS (death or discharge) was 7 days, with an interquartile range of 8 days. The cumulative incidence of discharge rose with increasing in gestational age and birth weight, on the contrary, the rate of discharge was decreased by 45.7% with the development of RDS (SDH ratio: 0.543), by 75.9% with the development of apnea (SDH ratio: 0.241), by 36.2% with sepsis, and by 43.6% with pneumonia (SDH ratio: 0.564). CONCLUSIONS: Preterm newborns with a low gestational age and birth weight have a greater probability of having a prolonged LOS. Complications of the medical conditions RDS, apnea, sepsis, pneumonia, anemia, asphyxia, and NEC substantially raise LOS considerably.
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spelling pubmed-106632182023-11-08 Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis Bonger, Zelalem Tazu Mamo, Biniyam Tedla Birra, Sosna Bayu Yalew, Alemayehu Worku Front Pediatr Pediatrics BACKGROUND: Length of hospital stay (LOS) is one of the essential indicators for evaluating the efficiency and the quality-of-care service delivered. predicting LOS is critical for resource allocation, decision-making, lowering neonatal morbidity and death, enhancing clinical outcomes and parent counseling. In addition, extended hospital stays (long LOS_NICU) place a burden on the healthcare systems decreasing bed turnover rates as well as their financial stand and the mental stress on families. In Ethiopia, there is limited evidence on the determinant factors that influence on LOS. OBJECTIVES: To determine factors affecting neonatal intensive care unit length of stay for all preterm newborns who were discharged alive. METHOD: The study used a secondary data source, was collected for the Study of Illness in Preterm (SIP) infants project. The research study was a multicenter, cross-sectional, observational clinical study that took place in five Ethiopia hospitals from July 1, 2016, to May 31, 2018. The predictors of LOS were determined using Fine-Gray's competing risk analysis. RESULTS: For this study 3,511 preterm infants admitted to the NICU were analyzed. About 28.8% of the preterm infants died during their time in neonatal care while 66.6% were discharged alive. At the end of the study 4.6% babies were still in the NICU. The overall median LOS (death or discharge) was 7 days, with an interquartile range of 8 days. The cumulative incidence of discharge rose with increasing in gestational age and birth weight, on the contrary, the rate of discharge was decreased by 45.7% with the development of RDS (SDH ratio: 0.543), by 75.9% with the development of apnea (SDH ratio: 0.241), by 36.2% with sepsis, and by 43.6% with pneumonia (SDH ratio: 0.564). CONCLUSIONS: Preterm newborns with a low gestational age and birth weight have a greater probability of having a prolonged LOS. Complications of the medical conditions RDS, apnea, sepsis, pneumonia, anemia, asphyxia, and NEC substantially raise LOS considerably. Frontiers Media S.A. 2023-11-08 /pmc/articles/PMC10663218/ /pubmed/38027273 http://dx.doi.org/10.3389/fped.2023.1268087 Text en © 2023 Bonger, Mamo, Birra and Yalew. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Bonger, Zelalem Tazu
Mamo, Biniyam Tedla
Birra, Sosna Bayu
Yalew, Alemayehu Worku
Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis
title Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis
title_full Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis
title_fullStr Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis
title_full_unstemmed Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis
title_short Predictors of length of hospital stay for preterm infants in Ethiopia: a competing risk analysis
title_sort predictors of length of hospital stay for preterm infants in ethiopia: a competing risk analysis
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663218/
https://www.ncbi.nlm.nih.gov/pubmed/38027273
http://dx.doi.org/10.3389/fped.2023.1268087
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