Cargando…

Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 provided comprehensive estimates of health loss globally. Decision makers in Kenya can use GBD subnational data to target health interventions and address county-level variation in the burden of disease. METHODS:...

Descripción completa

Detalles Bibliográficos
Autores principales: Achoki, Tom, Miller-Petrie, Molly K, Glenn, Scott D, Kalra, Nikhila, Lesego, Abaleng, Gathecha, Gladwell K, Alam, Uzma, Kiarie, Helen W, Maina, Isabella Wanjiku, Adetifa, Ifedayo M O, Barsosio, Hellen C, Degfie, Tizta Tilahun, Keiyoro, Peter Njenga, Kiirithio, Daniel N, Kinfu, Yohannes, Kinyoki, Damaris K, Kisia, James M, Krish, Varsha Sarah, Lagat, Abraham K, Mooney, Meghan D, Moturi, Wilkister Nyaora, Newton, Charles Richard James, Ngunjiri, Josephine W, Nixon, Molly R, Soti, David O, Van De Vijver, Steven, Yonga, Gerald, Hay, Simon I, Murray, Christopher J L, Naghavi, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293072/
https://www.ncbi.nlm.nih.gov/pubmed/30482677
http://dx.doi.org/10.1016/S2214-109X(18)30472-8
_version_ 1783380489793437696
author Achoki, Tom
Miller-Petrie, Molly K
Glenn, Scott D
Kalra, Nikhila
Lesego, Abaleng
Gathecha, Gladwell K
Alam, Uzma
Kiarie, Helen W
Maina, Isabella Wanjiku
Adetifa, Ifedayo M O
Barsosio, Hellen C
Degfie, Tizta Tilahun
Keiyoro, Peter Njenga
Kiirithio, Daniel N
Kinfu, Yohannes
Kinyoki, Damaris K
Kisia, James M
Krish, Varsha Sarah
Lagat, Abraham K
Mooney, Meghan D
Moturi, Wilkister Nyaora
Newton, Charles Richard James
Ngunjiri, Josephine W
Nixon, Molly R
Soti, David O
Van De Vijver, Steven
Yonga, Gerald
Hay, Simon I
Murray, Christopher J L
Naghavi, Mohsen
author_facet Achoki, Tom
Miller-Petrie, Molly K
Glenn, Scott D
Kalra, Nikhila
Lesego, Abaleng
Gathecha, Gladwell K
Alam, Uzma
Kiarie, Helen W
Maina, Isabella Wanjiku
Adetifa, Ifedayo M O
Barsosio, Hellen C
Degfie, Tizta Tilahun
Keiyoro, Peter Njenga
Kiirithio, Daniel N
Kinfu, Yohannes
Kinyoki, Damaris K
Kisia, James M
Krish, Varsha Sarah
Lagat, Abraham K
Mooney, Meghan D
Moturi, Wilkister Nyaora
Newton, Charles Richard James
Ngunjiri, Josephine W
Nixon, Molly R
Soti, David O
Van De Vijver, Steven
Yonga, Gerald
Hay, Simon I
Murray, Christopher J L
Naghavi, Mohsen
author_sort Achoki, Tom
collection PubMed
description BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 provided comprehensive estimates of health loss globally. Decision makers in Kenya can use GBD subnational data to target health interventions and address county-level variation in the burden of disease. METHODS: We used GBD 2016 estimates of life expectancy at birth, healthy life expectancy, all-cause and cause-specific mortality, years of life lost, years lived with disability, disability-adjusted life-years, and risk factors to analyse health by age and sex at the national and county levels in Kenya from 1990 to 2016. FINDINGS: The national all-cause mortality rate decreased from 850·3 (95% uncertainty interval [UI] 829·8–871·1) deaths per 100 000 in 1990 to 579·0 (562·1–596·0) deaths per 100 000 in 2016. Under-5 mortality declined from 95·4 (95% UI 90·1–101·3) deaths per 1000 livebirths in 1990 to 43·4 (36·9–51·2) deaths per 1000 livebirths in 2016, and maternal mortality fell from 315·7 (242·9–399·4) deaths per 100 000 in 1990 to 257·6 (195·1–335·3) deaths per 100 000 in 2016, with steeper declines after 2006 and heterogeneously across counties. Life expectancy at birth increased by 5·4 (95% UI 3·7–7·2) years, with higher gains in females than males in all but ten counties. Unsafe water, sanitation, and handwashing, unsafe sex, and malnutrition were the leading national risk factors in 2016. INTERPRETATION: Health outcomes have improved in Kenya since 2006. The burden of communicable diseases decreased but continues to predominate the total disease burden in 2016, whereas the non-communicable disease burden increased. Health gains varied strikingly across counties, indicating targeted approaches for health policy are necessary. FUNDING: Bill & Melinda Gates Foundation.
format Online
Article
Text
id pubmed-6293072
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier Ltd
record_format MEDLINE/PubMed
spelling pubmed-62930722018-12-21 Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 Achoki, Tom Miller-Petrie, Molly K Glenn, Scott D Kalra, Nikhila Lesego, Abaleng Gathecha, Gladwell K Alam, Uzma Kiarie, Helen W Maina, Isabella Wanjiku Adetifa, Ifedayo M O Barsosio, Hellen C Degfie, Tizta Tilahun Keiyoro, Peter Njenga Kiirithio, Daniel N Kinfu, Yohannes Kinyoki, Damaris K Kisia, James M Krish, Varsha Sarah Lagat, Abraham K Mooney, Meghan D Moturi, Wilkister Nyaora Newton, Charles Richard James Ngunjiri, Josephine W Nixon, Molly R Soti, David O Van De Vijver, Steven Yonga, Gerald Hay, Simon I Murray, Christopher J L Naghavi, Mohsen Lancet Glob Health Article BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 provided comprehensive estimates of health loss globally. Decision makers in Kenya can use GBD subnational data to target health interventions and address county-level variation in the burden of disease. METHODS: We used GBD 2016 estimates of life expectancy at birth, healthy life expectancy, all-cause and cause-specific mortality, years of life lost, years lived with disability, disability-adjusted life-years, and risk factors to analyse health by age and sex at the national and county levels in Kenya from 1990 to 2016. FINDINGS: The national all-cause mortality rate decreased from 850·3 (95% uncertainty interval [UI] 829·8–871·1) deaths per 100 000 in 1990 to 579·0 (562·1–596·0) deaths per 100 000 in 2016. Under-5 mortality declined from 95·4 (95% UI 90·1–101·3) deaths per 1000 livebirths in 1990 to 43·4 (36·9–51·2) deaths per 1000 livebirths in 2016, and maternal mortality fell from 315·7 (242·9–399·4) deaths per 100 000 in 1990 to 257·6 (195·1–335·3) deaths per 100 000 in 2016, with steeper declines after 2006 and heterogeneously across counties. Life expectancy at birth increased by 5·4 (95% UI 3·7–7·2) years, with higher gains in females than males in all but ten counties. Unsafe water, sanitation, and handwashing, unsafe sex, and malnutrition were the leading national risk factors in 2016. INTERPRETATION: Health outcomes have improved in Kenya since 2006. The burden of communicable diseases decreased but continues to predominate the total disease burden in 2016, whereas the non-communicable disease burden increased. Health gains varied strikingly across counties, indicating targeted approaches for health policy are necessary. FUNDING: Bill & Melinda Gates Foundation. Elsevier Ltd 2018-10-25 /pmc/articles/PMC6293072/ /pubmed/30482677 http://dx.doi.org/10.1016/S2214-109X(18)30472-8 Text en © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Achoki, Tom
Miller-Petrie, Molly K
Glenn, Scott D
Kalra, Nikhila
Lesego, Abaleng
Gathecha, Gladwell K
Alam, Uzma
Kiarie, Helen W
Maina, Isabella Wanjiku
Adetifa, Ifedayo M O
Barsosio, Hellen C
Degfie, Tizta Tilahun
Keiyoro, Peter Njenga
Kiirithio, Daniel N
Kinfu, Yohannes
Kinyoki, Damaris K
Kisia, James M
Krish, Varsha Sarah
Lagat, Abraham K
Mooney, Meghan D
Moturi, Wilkister Nyaora
Newton, Charles Richard James
Ngunjiri, Josephine W
Nixon, Molly R
Soti, David O
Van De Vijver, Steven
Yonga, Gerald
Hay, Simon I
Murray, Christopher J L
Naghavi, Mohsen
Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
title Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
title_full Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
title_fullStr Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
title_full_unstemmed Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
title_short Health disparities across the counties of Kenya and implications for policy makers, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
title_sort health disparities across the counties of kenya and implications for policy makers, 1990–2016: a systematic analysis for the global burden of disease study 2016
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293072/
https://www.ncbi.nlm.nih.gov/pubmed/30482677
http://dx.doi.org/10.1016/S2214-109X(18)30472-8
work_keys_str_mv AT achokitom healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT millerpetriemollyk healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT glennscottd healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT kalranikhila healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT lesegoabaleng healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT gathechagladwellk healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT alamuzma healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT kiariehelenw healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT mainaisabellawanjiku healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT adetifaifedayomo healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT barsosiohellenc healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT degfietiztatilahun healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT keiyoropeternjenga healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT kiirithiodanieln healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT kinfuyohannes healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT kinyokidamarisk healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT kisiajamesm healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT krishvarshasarah healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT lagatabrahamk healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT mooneymeghand healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT moturiwilkisternyaora healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT newtoncharlesrichardjames healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT ngunjirijosephinew healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT nixonmollyr healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT sotidavido healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT vandevijversteven healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT yongagerald healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT haysimoni healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT murraychristopherjl healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016
AT naghavimohsen healthdisparitiesacrossthecountiesofkenyaandimplicationsforpolicymakers19902016asystematicanalysisfortheglobalburdenofdiseasestudy2016