Sloan Management, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Pharmaceutical Policy and Regulation, Utrecht University, Utrecht, Netherlands.
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Lancet Glob Health. 2019 Jan;7(1):e81-e95. doi: 10.1016/S2214-109X(18)30472-8. Epub 2018 Oct 25.
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.
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.
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.
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.
Bill & Melinda Gates Foundation.
全球疾病、伤害和危险因素研究(GBD)2016 为全球健康损失提供了全面的估计。肯尼亚的决策者可以利用 GBD 次国家级数据来确定卫生干预措施的目标,并解决疾病负担方面的县级差异。
我们使用 GBD 2016 对肯尼亚出生时预期寿命、健康预期寿命、全因和死因死亡率、生命损失年、残疾生存年、残疾调整生命年以及风险因素的估计,按年龄和性别分析了 1990 年至 2016 年肯尼亚的国家和县级健康状况。
全国全因死亡率从 1990 年的每 10 万人 850.3(95%不确定性区间[UI]829.8-871.1)死亡下降到 2016 年的每 10 万人 579.0(562.1-596.0)死亡。1990 年每 1000 例活产 95.4(95%UI90.1-101.3)例儿童死亡下降到 2016 年的每 1000 例活产 43.4(36.9-51.2)例,产妇死亡率从 1990 年的每 100 000 人 315.7(242.9-399.4)例下降到 2016 年的每 100 000 人 257.6(195.1-335.3)例,2006 年后下降速度加快,各县之间存在差异。出生时预期寿命增加了 5.4 岁(95%UI3.7-7.2),除 10 个县外,女性的增长均高于男性。2016 年,不安全用水、环境卫生和手卫生、不安全性行为以及营养不良是主要的国家风险因素。
自 2006 年以来,肯尼亚的健康状况有所改善。传染病负担下降,但在 2016 年仍占总疾病负担的主导地位,而非传染病负担增加。各县之间的健康收益差异显著,表明需要采取有针对性的卫生政策方法。
比尔和梅琳达·盖茨基金会。