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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 et al.

The lancet. Global health. Volume 7:Number 1 (2019, January); pp e81-e95 -- Elsevier

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  • 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
  • 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
  • Found In: The lancet. Global health. Volume 7:Number 1 (2019, January); pp e81-e95
  • Journal Title: The lancet. Global health
  • Subjects: World health--Periodicals; Dewey: 362.105
  • Rights: Licensed
  • Publication Details: Elsevier
  • Abstract: Summary 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.
  • Identifier: System Number: ETOCvdc_100076906955.0x000001; Journal ISSN: 2214-109X; 10.1016/S2214-109X(18)30472-8
  • Publication Date: 2019
  • Physical Description: Electronic
  • UIN: ETOCvdc_100076906955.0x000001

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