Pavinati Gabriel, Lima Lucas Vinícius de, Ferreira Melisane Regina Lima, Zanatta Simone Teresinha Protti, Magnabosco Gabriela Tavares
Universidade Estadual de Maringá, Graduate Program in Nursing - Maringá (PR), Brazil.
Secretaria Municipal de Saúde, Gerência de Planejamento - Maringá (PR), Brazil.
Rev Bras Epidemiol. 2025 Aug 8;28:e250041. doi: 10.1590/1980-549720250041. eCollection 2025.
To analyze temporal trends and state-level clusters of tuberculosis treatment interruption indicators among the homeless population in Brazil.
This is an ecological study, in which treatment interruption among homeless people with tuberculosis was assessed from 2015 to 2023. Joinpoint regression was used for trend analysis, stratified by sociodemographic and epidemiological variables. State clusters were identified by k-means clustering analysis, based on socioeconomic and programmatic indicators.
Tuberculosis treatment interruption increased among: men (average quarterly percent change - AQPC=0.15; 95% confidence interval - 95%CI 0.04-0.29), individuals aged 40-59 years (AQPC=0.38; 95%CI 0.25-0.53), tobacco users (AQPC=0.72; 95%CI 0.61-0.82), beneficiaries of social programs (AQPC=4.59; 95%CI 3.69-6.02), those without directly observed treatment (AQPC=0.49; 95%CI 0.39-0.63), without HIV coinfection (AQPC=0.38; 95%CI 0.30-0.51), and in the North (AQPC=1.51; 95%CI 0.96-2.21) and Midwest (AQPC=0.83; 95%CI 0.17-1.59) regions. According to the cluster analysis, cluster A had the lowest treatment interruption rate, low AIDS incidence, and better programmatic indicators. Cluster B had high poverty and low level of education and income, but strong primary health care performance. Cluster C stood out for its higher human development, better social indicators, and lower inequality. Cluster D concentrated the worst outcomes: higher treatment interruption, greater inequality, higher AIDS incidence, and weaker primary health care.
Socioeconomic and programmatic inequalities were evident in access and attachment to tuberculosis treatment among people experiencing homelessness in Brazil.
分析巴西无家可归人群中结核病治疗中断指标的时间趋势和州级聚类情况。
这是一项生态学研究,对2015年至2023年期间无家可归的结核病患者的治疗中断情况进行评估。采用连接点回归进行趋势分析,并按社会人口统计学和流行病学变量进行分层。基于社会经济和项目指标,通过k均值聚类分析确定州级聚类。
以下人群的结核病治疗中断情况有所增加:男性(平均季度变化百分比 - AQPC = 0.15;95%置信区间 - 95%CI 0.04 - 0.29)、40 - 59岁的个体(AQPC = 0.38;95%CI 0.25 - 0.53)、烟草使用者(AQPC = 0.72;95%CI 0.61 - 0.82)、社会项目受益人(AQPC = 4.59;95%CI 3.69 - 6.02)、未接受直接观察治疗的患者(AQPC = 0.49;95%CI 0.39 - 0.63)、未合并感染艾滋病毒的患者(AQPC = 0.38;95%CI 0.30 - 0.51),以及北部地区(AQPC = 1.51;95%CI 0.96 - 2.21)和中西部地区(AQPC = 0.83;95%CI 0.17 - 1.59)。根据聚类分析,A类聚类的治疗中断率最低、艾滋病发病率低且项目指标较好。B类聚类贫困程度高、教育和收入水平低,但初级卫生保健表现强劲。C类聚类以其较高的人类发展水平、较好的社会指标和较低的不平等程度而突出。D类聚类集中了最差的结果:治疗中断率更高、不平等程度更大、艾滋病发病率更高且初级卫生保健更薄弱。
在巴西无家可归人群获得和坚持结核病治疗方面,社会经济和项目不平等现象明显。