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估计 2017-2020 年印度喀拉拉邦因结核病导致的州和地区特定伤残调整生命年(DALYs)。

Estimation of State and district-specific disability adjusted life years (DALYs) due to tuberculosis for Kerala, India, 2017-2020.

机构信息

Department of Community Medicine, Government Medical College, Kollam, India.

The Union, South East Asia.

出版信息

Indian J Med Res. 2024 Jun;159(6):539-546. doi: 10.25259/IJMR_368_23.

Abstract

Background & objectives Tuberculosis (TB) control programmes routinely use indicators like incidence and mortality. A single indicator, like disability-adjusted life years (DALYs) may yield a more comprehensive burden estimate. This study attempted to estimate the state and district-specific TB burden in Kerala. Methods The sole data source for these computations was the Ni-kshay, notification register for 2017 to 2020, Kerala. Age of the patient and outcome are available in the register. Notified incident TB/1000, the median age of onset of TB, case fatality due to TB, and the median age of mortality were computed using SPSS software. DALYs was calculated using the DALYs package of the R program, using these input parameters. Disability weight was taken as 0.333. The absolute and relative DALY/100,000 population was estimated along with the 95% confidence interval (CI). Results Relative DALYs was highest in 2019 at 1482/100,000 and lowest at 1124/100,000 in the year 2020 during the period 2017 to 2020. The districts, which had the highest incidence were not the same as those with the highest DALYs. Ernakulam and Thrissur districts had the highest burden and Idukki had the least burden. Interpretation & conclusions DALYs estimates for Kerala showed an increasing trend before 2020, which could be due to the increased efforts to detect TB as part of the elimination drive. The study points towards the need for using DALYs as a measure for prioritizing districts for resource allocation.

摘要

背景与目的

结核病(TB)控制规划通常使用发病率和死亡率等指标。单一指标,如伤残调整生命年(DALYs),可能会产生更全面的负担估计。本研究试图估计喀拉拉邦的州和地区特定的结核病负担。

方法

这些计算的唯一数据源是喀拉拉邦的 Ni-kshay,2017 年至 2020 年的通报登记册。登记册中可获得患者的年龄和结局。通报的结核病例数/1000、结核发病的中位年龄、结核病死率和死亡的中位年龄,均使用 SPSS 软件进行计算。使用 R 程序的 DALYs 包,根据这些输入参数计算 DALYs。残疾权重为 0.333。估计了绝对和相对 DALY/100000 人口,以及 95%置信区间(CI)。

结果

2017 年至 2020 年期间,相对 DALYs 最高为 2019 年的 1482/100000,最低为 2020 年的 1124/100000。发病率最高的地区与 DALYs 最高的地区并不相同。Ernakulam 和 Thrissur 地区的负担最重,Idukki 地区的负担最轻。

解释与结论

喀拉拉邦的 DALYs 估计值在 2020 年之前呈上升趋势,这可能是由于在消除结核病的努力中,检测结核病的力度加大。本研究表明,需要使用 DALYs 作为为资源分配确定重点地区的衡量标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a457/11463890/2af359ba163f/IJMR-159-6-539-g1.jpg

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