The Global Leprosy Assessment Index (GLAI): A new approach for measuring the severity of disease in Brazil

Lucas Silva , Thiago Rocha , Dalson Figueiredo Filho
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Abstract

Background

In Brazil, the Ministry of Health (MH) monitors leprosy using 15 indicators, with the aim of implementing and evaluating evidence-based public policies. However, an excessive number of variables can complicate the definition of objectives and verification of epidemiological goals.

Methods

In this paper, we develop the Global Leprosy Assessment Index (GLAI), a composite measure that integrates two key dimensions for the control the disease: epidemiological and operational. Using a confirmatory factor analysis model to examine 2020 state-level data, we have standardized GLAI to a range of 0 to 1.

Results

Higher values within this range indicate a greater severity of the disease. The mean value of the GLAI was 0.67, with a standard deviation of 0.22. Roraima has the highest value, followed by Paraíba with 0.88 while Tocantins records the lowest value of the indicator, followed by Mato Grosso with 0.14. The epidemiological and operational indicators have a positive but statistically insignificant correlation (r = 0.25; p-value = 0.20).

Conclusions

The development of evidence-based public policies depends on the availability of valid and reliable indicators. The GLAI presented in this paper is easily reproducible and can be used to monitor the disease with disaggregated information. Furthermore, the GLAI has the potential to serve as a more robust parameter for evaluating the impact of actions designed to eradicate leprosy in Brazil.

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全球麻风病评估指数(GLAI):衡量巴西疾病严重程度的新方法
背景在巴西,卫生部使用15项指标监测麻风病,目的是实施和评估循证公共政策。然而,变量过多会使目标的定义和流行病学目标的验证复杂化。方法在本文中,我们制定了全球麻风病评估指数(GLAI),这是一项综合指标,综合了控制该疾病的两个关键维度:流行病学和操作性。使用验证性因素分析模型来检验2020年的州级数据,我们将GLAI标准化为0至1。结果该范围内的值越高,表明疾病的严重程度越高。GLAI的平均值为0.67,标准偏差为0.22。Roraima的值最高,其次是Paraíba,为0.88,而托坎廷斯的指标值最低,其次是马托格罗索,为0.14。流行病学指标与操作指标呈正相关,但统计学意义不显著(r=0.25;p值=0.20)。结论循证公共政策的制定取决于有效可靠指标的可用性。本文提出的GLAI易于复制,可用于监测疾病,并提供分类信息。此外,GLAI有可能成为评估巴西根除麻风病行动影响的一个更有力的参数。
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