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Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey

OBJECTIVES: The under-five mortality (U5M) rate in Kenya (41 per 1000 live births) remains significantly above international goals (25 per 1000 live births). This is further exacerbated by regional inequalities in mortality. We aimed to describe U5M in Migori County, Kenya, and identify associated f...

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Autores principales: Starnes, Joseph R, Rogers, Ash, Wamae, Jane, Okoth, Vincent, Mudhune, Sandra A, Omondi, Alyn, Were, Vincent, Baraza Awino, Doreen, Lefebvre, Christina Hope, Yap, Samantha, Otieno Odhong, Tom, Vill, Beffy, Were, Lawrence, Wamai, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445361/
https://www.ncbi.nlm.nih.gov/pubmed/37607788
http://dx.doi.org/10.1136/bmjopen-2023-074056
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author Starnes, Joseph R
Rogers, Ash
Wamae, Jane
Okoth, Vincent
Mudhune, Sandra A
Omondi, Alyn
Were, Vincent
Baraza Awino, Doreen
Lefebvre, Christina Hope
Yap, Samantha
Otieno Odhong, Tom
Vill, Beffy
Were, Lawrence
Wamai, Richard
author_facet Starnes, Joseph R
Rogers, Ash
Wamae, Jane
Okoth, Vincent
Mudhune, Sandra A
Omondi, Alyn
Were, Vincent
Baraza Awino, Doreen
Lefebvre, Christina Hope
Yap, Samantha
Otieno Odhong, Tom
Vill, Beffy
Were, Lawrence
Wamai, Richard
author_sort Starnes, Joseph R
collection PubMed
description OBJECTIVES: The under-five mortality (U5M) rate in Kenya (41 per 1000 live births) remains significantly above international goals (25 per 1000 live births). This is further exacerbated by regional inequalities in mortality. We aimed to describe U5M in Migori County, Kenya, and identify associated factors that can serve as programming targets. DESIGN: Cross-sectional observational survey. SETTING: Areas served by the Lwala Community Alliance and control areas in Migori County, Kenya. PARTICIPANTS: This study included 15 199 children born to respondents during the 18 years preceding the survey. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was mortality in the first 5 years of life. The survey was powered to detect a 10% change in various health metrics over time with 80% power. RESULTS: A total of 15 199 children were included in the primary analyses, and 230 (1.5%) were deceased before the fifth birthday. The U5M rate from 2016 to 2021 was 32.2 per 1000 live births. Factors associated with U5M included year of birth (HR 0.926, p<0.001), female sex (HR 0.702, p=0.01), parental marriage (HR 0.642, p=0.036), multiple gestation pregnancy (HR 2.776, p<0.001), birth spacing less than 18 months (HR 1.894, p=0.005), indoor smoke exposure (HR 1.916, p=0.027) and previous familial contribution to the National Hospital Insurance Fund (HR 0.553, p=0.009). The most common cause of death was malaria. CONCLUSIONS: We describe factors associated with childhood mortality in a Kenyan community using survival analyses of complete birth histories. Mortality rates will serve as the baseline for future programme evaluation as a part of a 10-year study design. This provides both the hyperlocal information needed to improve programming and generalisable conclusions for other organisations working in similar environments.
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spelling pubmed-104453612023-08-24 Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey Starnes, Joseph R Rogers, Ash Wamae, Jane Okoth, Vincent Mudhune, Sandra A Omondi, Alyn Were, Vincent Baraza Awino, Doreen Lefebvre, Christina Hope Yap, Samantha Otieno Odhong, Tom Vill, Beffy Were, Lawrence Wamai, Richard BMJ Open Global Health OBJECTIVES: The under-five mortality (U5M) rate in Kenya (41 per 1000 live births) remains significantly above international goals (25 per 1000 live births). This is further exacerbated by regional inequalities in mortality. We aimed to describe U5M in Migori County, Kenya, and identify associated factors that can serve as programming targets. DESIGN: Cross-sectional observational survey. SETTING: Areas served by the Lwala Community Alliance and control areas in Migori County, Kenya. PARTICIPANTS: This study included 15 199 children born to respondents during the 18 years preceding the survey. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was mortality in the first 5 years of life. The survey was powered to detect a 10% change in various health metrics over time with 80% power. RESULTS: A total of 15 199 children were included in the primary analyses, and 230 (1.5%) were deceased before the fifth birthday. The U5M rate from 2016 to 2021 was 32.2 per 1000 live births. Factors associated with U5M included year of birth (HR 0.926, p<0.001), female sex (HR 0.702, p=0.01), parental marriage (HR 0.642, p=0.036), multiple gestation pregnancy (HR 2.776, p<0.001), birth spacing less than 18 months (HR 1.894, p=0.005), indoor smoke exposure (HR 1.916, p=0.027) and previous familial contribution to the National Hospital Insurance Fund (HR 0.553, p=0.009). The most common cause of death was malaria. CONCLUSIONS: We describe factors associated with childhood mortality in a Kenyan community using survival analyses of complete birth histories. Mortality rates will serve as the baseline for future programme evaluation as a part of a 10-year study design. This provides both the hyperlocal information needed to improve programming and generalisable conclusions for other organisations working in similar environments. BMJ Publishing Group 2023-08-22 /pmc/articles/PMC10445361/ /pubmed/37607788 http://dx.doi.org/10.1136/bmjopen-2023-074056 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Global Health
Starnes, Joseph R
Rogers, Ash
Wamae, Jane
Okoth, Vincent
Mudhune, Sandra A
Omondi, Alyn
Were, Vincent
Baraza Awino, Doreen
Lefebvre, Christina Hope
Yap, Samantha
Otieno Odhong, Tom
Vill, Beffy
Were, Lawrence
Wamai, Richard
Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey
title Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey
title_full Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey
title_fullStr Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey
title_full_unstemmed Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey
title_short Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey
title_sort childhood mortality and associated factors in migori county, kenya: evidence from a cross-sectional survey
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445361/
https://www.ncbi.nlm.nih.gov/pubmed/37607788
http://dx.doi.org/10.1136/bmjopen-2023-074056
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