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与高结核病诊断延迟相关的生态因素。

Ecological factors associated with areas of high tuberculosis diagnosis delay.

机构信息

NOVA National School of Public Health, Public Health Research Center, Universidade NOVA de Lisboa, Av. Padre Cruz, 1600-560, Lisboa, Portugal; Comprehensive Health Research Center, Universidade NOVA de Lisboa, Campo Mártires da Pátria 130, 1169-056 Lisboa, Portugal.

EPIUnit - Instituto de Saúde Pública, Universidade Do Porto, Rua Das Taipas 135, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional Em Saúde Populacional (ITR), Porto, Portugal.

出版信息

Public Health. 2022 Jul;208:32-39. doi: 10.1016/j.puhe.2022.04.010. Epub 2022 Jun 7.

Abstract

OBJECTIVE

We aimed to identify areas of high tuberculosis (TB) diagnosis delay in mainland Portugal in 2017 and ecological factors associated with these areas.

STUDY DESIGN

This was an ecological study.

METHODS

We considered all notified pulmonary TB cases from the Portuguese National Tuberculosis Surveillance System in mainland Portugal. Diagnostic delays were calculated at the municipality level. Demographic variables, proxies for TB awareness, health services capacity indicators, and socio-economic variables were included and extracted from official databases, such as Statistics Portugal, Ministeries, Foreigners and Border Services. We used spatial analysis to identify areas of high delay in 2017 and logistic generalised additive models to identify ecological factors associated with the identified cluster.

RESULTS

We identified an area of high delay in 2017 in the South region of the country. Overall, municipalities with a smaller population density, smaller proportion of unemployed, fewer health centres and higher old-age dependency ratio, proportion of men, TB incidence, proportion of immigrants and high school dropout had a higher probability of belonging in a high delay area.

CONCLUSION

The role of primary health care in TB diagnosis should be further explored. Interventions should address factors interplaying at the local and individual levels. Policies influencing social and health conditions, leading to changes in individual behaviour, can lead to sustained improvements over time.

摘要

目的

我们旨在确定 2017 年葡萄牙本土结核病(TB)诊断延迟的高发地区,以及与这些地区相关的生态因素。

研究设计

这是一项生态研究。

方法

我们考虑了葡萄牙本土全国结核病监测系统报告的所有肺结核病例。在市县级层面计算诊断延迟。人口统计学变量、TB 意识的代表指标、卫生服务能力指标以及社会经济变量,都从葡萄牙统计局、部委、外国人与边境服务局等官方数据库中提取。我们使用空间分析来识别 2017 年延迟高发地区,并使用逻辑回归广义加性模型来识别与识别出的聚集区相关的生态因素。

结果

我们在该国南部地区发现了 2017 年延迟高发地区。总体而言,人口密度较小、失业率较低、卫生中心较少、老年抚养比较高、男性比例较高、TB 发病率较高、移民比例较高和高中辍学率较高的市,更有可能属于延迟高发地区。

结论

应进一步探讨初级卫生保健在结核病诊断中的作用。干预措施应针对在地方和个人层面相互作用的因素。影响社会和健康状况的政策,导致个人行为的改变,可以随着时间的推移带来持续的改善。

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