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巴西有条件现金转移项目对艾滋病发病率、住院率和死亡率的影响:一项纵向生态研究。

Effect of a conditional cash transfer programme on AIDS incidence, hospitalisations, and mortality in Brazil: a longitudinal ecological study.

机构信息

Collective Health Institute, Federal University of Bahia, Salvador, Brazil.

Life Science Department, University of the State of Bahia, Salvador, Brazil.

出版信息

Lancet HIV. 2022 Oct;9(10):e690-e699. doi: 10.1016/S2352-3018(22)00221-1.

Abstract

BACKGROUND

One of the biggest challenges of the response to the AIDS epidemic is to reach the poorest people. In 2004, Brazil implemented one of the world's largest conditional cash transfer programmes, the Bolsa Família Programme (BFP). We aimed to evaluate the effect of BFP coverage on AIDS incidence, hospitalisations, and mortality in Brazil.

METHODS

In this longitudinal ecological study, we developed a conceptual framework linking key mechanisms of BFP effects on AIDS indicators and used ecological panel data from 5507 Brazilian municipalities over the period of 2004-18. We used government sources to calculate municipal-level AIDS incidence, hospitalisation, and mortality rates, and used multivariable regressions analyses of panel data with fixed-effects negative binomial models to estimate the effect of BFP coverage, which was classified as low (0-29%), intermediate (30-69%), and high (≥70%), on AIDS indicators, while adjusting for all relevant demographic, socioeconomic, and health-care covariates at the municipal level.

FINDINGS

Between 2004 and 2018, in the municipalities under study, 601 977 new cases of AIDS were notified, of which 376 772 (62·6%) were in males older than 14 years, 212 465 (35·3%) were in females older than 14 years, and 12 740 (2·1%) were in children aged 14 years or younger. 533 624 HIV/AIDS-related hospitalisations, and 176 868 AIDS-related deaths had been notified. High BFP coverage was associated with reductions in incidence rate ratios of 5·1% (95% CI 0·9-9·1) for AIDS incidence, 14·3% (7·7-20·5) for HIV/AIDS hospitalisations, and 12·0% (5·2-18·4) for AIDS mortality. The effect of the BFP on AIDS indicators was more pronounced in municipalities with higher AIDS endemicity levels, with reductions in incidence rate ratios of 12·7% (95% CI 5·4-19·4) for AIDS incidence, 21·1% (10·7-30·2) for HIV/AIDS hospitalisations, and 14·7% (3·2-24·9) for AIDS-related mortality, and reductions in AIDS incidence of 14·6% (5·9-22·5) in females older than 14 years, 9·7% (1·4-17·3) in males older than 14 years, and 24·5% (0·5-42·7) in children aged 14 years or younger.

INTERPRETATION

The effect of BFP coverage on AIDS indicators in Brazil could be explained by the reduction of households' poverty and by BFP health-related conditionalities. The protection of the most vulnerable populations through conditional cash transfers could contribute to the reduction of AIDS burden in low-income and middle-income countries.

FUNDING

US National Institute of Allergy and Infectious Diseases, National Institutes of Health.

TRANSLATION

For the Portugese translation of the abstract see Supplementary Materials section.

摘要

背景

应对艾滋病疫情的最大挑战之一是接触最贫困的人群。2004 年,巴西实施了世界上最大的有条件现金转移支付计划之一——“家庭补助金计划”(Bolsa Família Programme,BFP)。我们旨在评估 BFP 覆盖范围对巴西艾滋病发病率、住院率和死亡率的影响。

方法

在这项纵向生态研究中,我们构建了一个概念框架,将 BFP 对艾滋病指标影响的关键机制联系起来,并利用 2004-18 年期间的 5507 个巴西城市的政府来源数据,开发了一个概念框架。我们使用政府来源计算了城市级别的艾滋病发病率、住院率和死亡率,并使用多变量回归分析面板数据,采用固定效应负二项模型来估计 BFP 覆盖范围(分为低(0-29%)、中(30-69%)和高(≥70%))对艾滋病指标的影响,同时调整了城市层面的所有相关人口统计学、社会经济和医疗保健因素。

发现

在研究期间的城市中,报告了 601977 例新的艾滋病病例,其中 376772 例(62.6%)为 14 岁以上男性,212465 例(35.3%)为 14 岁以上女性,12740 例(2.1%)为 14 岁以下儿童。报告了 533624 例与 HIV/AIDS 相关的住院病例和 176868 例与艾滋病相关的死亡病例。高 BFP 覆盖率与艾滋病发病率的发病率比降低 5.1%(95%CI 0.9-9.1)、HIV/AIDS 住院率降低 14.3%(7.7-20.5)和艾滋病死亡率降低 12.0%(5.2-18.4)有关。BFP 对艾滋病指标的影响在艾滋病流行程度较高的城市更为明显,艾滋病发病率的发病率比降低 12.7%(5.4-19.4)、HIV/AIDS 住院率降低 21.1%(10.7-30.2)和艾滋病死亡率降低 14.7%(3.2-24.9),14 岁以上女性的艾滋病发病率降低 14.6%(5.9-22.5)、14 岁以上男性的艾滋病发病率降低 9.7%(1.4-17.3),14 岁以下儿童的艾滋病发病率降低 24.5%(0.5-42.7)。

解释

BFP 覆盖率对巴西艾滋病指标的影响可以用家庭贫困的减少和 BFP 与健康相关的条件来解释。通过有条件的现金转移来保护最脆弱的人群,可能有助于减轻低收入和中等收入国家的艾滋病负担。

资助

美国国立过敏和传染病研究所,美国国立卫生研究院。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98f7/9577474/4eccd788f467/nihms-1840821-f0001.jpg

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