Early identification of individuals at risk for loss to follow-up of tuberculosis treatment: A generalised hierarchical analysis

被引:7
|
作者
Melo Almeida Lima, Shirley Veronica [1 ,2 ]
Gomes Machado de Araujo, Karina Conceicao [1 ]
Prado Nunes, Marco Antonio [1 ]
Nunes, Carla [2 ,3 ]
机构
[1] Univ Fed Sergipe, Postgrad Program Hlth Sci, Sao Cristovao, SE, Brazil
[2] Univ NOVA Lisboa, NOVA Natl Sch Publ Hlth, Lisbon, Portugal
[3] Univ NOVA Lisboa, Publ Hlth Res Ctr, Lisbon, Portugal
关键词
Tuberculosis; Therapy; Risk factors; Social determinants of health; Epidemiology;
D O I
10.1016/j.heliyon.2021.e06788
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: We characterise the loss to follow-up (locally termed abandoned) of tuberculosis treatment with individual and ecological health determinants and to identify the predictive capacity of these risk factors. Methods: A cohort study with individual and ecological characterisation of patients diagnosed with tuberculosis in Sergipe/Brazil from 2015 to 2018 with either loss to follow-up or completion of treatment as a therapeutic outcome was performed. The examined variables were based on the social determinants of health with descriptive analysis, binary logistic regression, a generalised hierarchical model and graphical presentation using a nomogram. Results: The loss to follow-up accounted for 18.21% of the 2,449 studied cases. The characteristics revealed that the highest abandonment percentages were people who: were male (20.0%), had black skin colour (20.3%), were aged 20?39 years (21.8%), had 4?7 years of schooling (23.6%), re-entered treatment after abandonment (36.5%), used alcohol (31.0%), used drugs (39.3%), were smokers (26.5%) and were homeless (55.4%). The ecological characteristics showed that individuals living in municipalities with a high human development index (HDI; odds ratio [OR]: 1.91) and high-income inequality (OR: 1.81) had a greater chance of not finishing the treatment. Most of these variables were identified as predictors in the generalised hierarchical model; the receiver operating characteristic curve (ROC) curve had 0.771 precision and 84.0% accuracy. Conclusion: The group of identified characteristics influenced the loss to follow-up of tuberculosis treatment. This data provides evidence for the early identification of individuals who are at greater risk of abandoning tuberculosis treatment.
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收藏
页数:8
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