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Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study
BACKGROUND: Most of the deaths among neonates in low-income and middle-income countries (LMICs) can be prevented through universal access to basic high-quality health services including essential facility-based inpatient care. However, poor routine data undermines data-informed efforts to monitor an...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169483/ https://www.ncbi.nlm.nih.gov/pubmed/34059493 http://dx.doi.org/10.1136/bmjgh-2020-004475 |
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author | Irimu, Grace Aluvaala, Jalemba Malla, Lucas Omoke, Sylvia Ogero, Morris Mbevi, George Waiyego, Mary Mwangi, Caroline Were, Fred Gathara, David Agweyu, Ambrose Akech, Samuel English, Mike |
author_facet | Irimu, Grace Aluvaala, Jalemba Malla, Lucas Omoke, Sylvia Ogero, Morris Mbevi, George Waiyego, Mary Mwangi, Caroline Were, Fred Gathara, David Agweyu, Ambrose Akech, Samuel English, Mike |
author_sort | Irimu, Grace |
collection | PubMed |
description | BACKGROUND: Most of the deaths among neonates in low-income and middle-income countries (LMICs) can be prevented through universal access to basic high-quality health services including essential facility-based inpatient care. However, poor routine data undermines data-informed efforts to monitor and promote improvements in the quality of newborn care across hospitals. METHODS: Continuously collected routine patients’ data from structured paper record forms for all admissions to newborn units (NBUs) from 16 purposively selected Kenyan public hospitals that are part of a clinical information network were analysed together with data from all paediatric admissions ages 0–13 years from 14 of these hospitals. Data are used to show the proportion of all admissions and deaths in the neonatal age group and examine morbidity and mortality patterns, stratified by birth weight, and their variation across hospitals. FINDINGS: During the 354 hospital months study period, 90 222 patients were admitted to the 14 hospitals contributing NBU and general paediatric ward data. 46% of all the admissions were neonates (aged 0–28 days), but they accounted for 66% of the deaths in the age group 0–13 years. 41 657 inborn neonates were admitted in the NBUs across the 16 hospitals during the study period. 4266/41 657 died giving a crude mortality rate of 10.2% (95% CI 9.97% to 10.55%), with 60% of these deaths occurring on the first-day of admission. Intrapartum-related complications was the single most common diagnosis among the neonates with birth weight of 2000 g or more who died. A threefold variation in mortality across hospitals was observed for birth weight categories 1000–1499 g and 1500–1999 g. INTERPRETATION: The high proportion of neonatal deaths in hospitals may reflect changing patterns of childhood mortality. Majority of newborns died of preventable causes (>95%). Despite availability of high-impact low-cost interventions, hospitals have high and very variable mortality proportions after stratification by birth weight. |
format | Online Article Text |
id | pubmed-8169483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-81694832021-06-17 Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study Irimu, Grace Aluvaala, Jalemba Malla, Lucas Omoke, Sylvia Ogero, Morris Mbevi, George Waiyego, Mary Mwangi, Caroline Were, Fred Gathara, David Agweyu, Ambrose Akech, Samuel English, Mike BMJ Glob Health Original Research BACKGROUND: Most of the deaths among neonates in low-income and middle-income countries (LMICs) can be prevented through universal access to basic high-quality health services including essential facility-based inpatient care. However, poor routine data undermines data-informed efforts to monitor and promote improvements in the quality of newborn care across hospitals. METHODS: Continuously collected routine patients’ data from structured paper record forms for all admissions to newborn units (NBUs) from 16 purposively selected Kenyan public hospitals that are part of a clinical information network were analysed together with data from all paediatric admissions ages 0–13 years from 14 of these hospitals. Data are used to show the proportion of all admissions and deaths in the neonatal age group and examine morbidity and mortality patterns, stratified by birth weight, and their variation across hospitals. FINDINGS: During the 354 hospital months study period, 90 222 patients were admitted to the 14 hospitals contributing NBU and general paediatric ward data. 46% of all the admissions were neonates (aged 0–28 days), but they accounted for 66% of the deaths in the age group 0–13 years. 41 657 inborn neonates were admitted in the NBUs across the 16 hospitals during the study period. 4266/41 657 died giving a crude mortality rate of 10.2% (95% CI 9.97% to 10.55%), with 60% of these deaths occurring on the first-day of admission. Intrapartum-related complications was the single most common diagnosis among the neonates with birth weight of 2000 g or more who died. A threefold variation in mortality across hospitals was observed for birth weight categories 1000–1499 g and 1500–1999 g. INTERPRETATION: The high proportion of neonatal deaths in hospitals may reflect changing patterns of childhood mortality. Majority of newborns died of preventable causes (>95%). Despite availability of high-impact low-cost interventions, hospitals have high and very variable mortality proportions after stratification by birth weight. BMJ Publishing Group 2021-05-31 /pmc/articles/PMC8169483/ /pubmed/34059493 http://dx.doi.org/10.1136/bmjgh-2020-004475 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Irimu, Grace Aluvaala, Jalemba Malla, Lucas Omoke, Sylvia Ogero, Morris Mbevi, George Waiyego, Mary Mwangi, Caroline Were, Fred Gathara, David Agweyu, Ambrose Akech, Samuel English, Mike Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study |
title | Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study |
title_full | Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study |
title_fullStr | Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study |
title_full_unstemmed | Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study |
title_short | Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study |
title_sort | neonatal mortality in kenyan hospitals: a multisite, retrospective, cohort study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169483/ https://www.ncbi.nlm.nih.gov/pubmed/34059493 http://dx.doi.org/10.1136/bmjgh-2020-004475 |
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