2020 年贝宁南部人体免疫缺陷病毒感染者失去随访状态的社会人口、经济和行为决定因素

Charles Sossa-Jerome, Lamidhi Salami, Rebecca Adjaffon, Moussiliou N. Paraiso
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摘要

背景:失访病例的复发是人类免疫缺陷病毒(HIV)治疗方案的主要关注点,特别是在非洲。本研究旨在确定在贝宁Suru Lere地区教学医院中心随访的艾滋病毒感染患者中丧失随访状况的相关经济和社会行为因素。方法:采用病例-对照研究,为方便选择41例,经合理选择保留82例对照。对年龄(±5岁)、性别和开始治疗的年份进行匹配。采用问卷和计数表收集数据,然后使用Epi数据3.1软件录入,使用STATA 11软件进行分析。采用5%阈值下的多条件逻辑回归模型来确定与“失访”状态相关的因素。结果:样本中,病例和对照组的平均年龄均为41±9岁,女性占63.41%。与失去随访状态相关的因素是没有交通工具(p=0.008),缺乏营养支持(p=0.01),对抗逆转录病毒治疗的错误认识,如“抗逆转录病毒治疗可以治愈艾滋病毒/艾滋病”(p=0.002)或“当你感觉好些时可以停止治疗”(p=0.014)。结论:本研究揭示了抗逆转录病毒治疗人群中“失访”状况与社会人口、经济和行为因素的显著相关性。这些结果将有助于更好地指导这些患者的护理,提高艾滋病控制项目的绩效。
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Socio-demographic, economic and behavioral determinants of loss to follow-up status among human immunodeficiency virus-infected patients in southern Benin in 2020
Background: The recurrence of cases lost to follow-up constitutes a major concern for human immunodeficiency virus (HIV) care programs, particularly in Africa. The present study was carried out to determine the economic and socio-behavioral factors associated with the status of loss to follow-up among HIV-infected patients followed at the Suru Lere Zonal Teaching Hospital Center in Benin. Methods: This was a case-control study carried out with 41 cases selected for convenience and 82 controls retained according to a reasoned choice. Matching was done on the variables age (±5 years), sex and year of initiation of treatment. The data collected using questionnaires and counting sheets then entered using the Epi data 3.1 software were analyzed using the STATA 11 software. A multiple conditional logistic regression model at the 5% threshold was used to determine factors associated with “lost to follow-up” status. Results: In the sample, the average age of the people surveyed was 41±9 years for both cases and controls and women were predominantly represented (63.41%). The factors associated with the status of loss to follow-up were the non-existence of a means of transport (p=0.008), the lack of nutritional support (p=0.01), incorrect knowledge about antiretroviral treatment such as “ARVs cure HIV/AIDS” (p=0.002) or “treatment can be stopped when you feel better” (p=0.014). Conclusions: This study revealed the significant association of “lost to follow-up” status with socio-demographic, economic and behavioral factors among people on ARV treatment. These results will lead to better guide the care of these patients and improve the performance of the AIDS control program.
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