在资源匮乏的环境中,艾滋病护理随访损失的比率和预测因素:分析关键风险期。

IF 3.4 3区 医学 Q2 INFECTIOUS DISEASES BMC Infectious Diseases Pub Date : 2024-10-18 DOI:10.1186/s12879-024-10089-6
Tamrat Endebu, Girma Taye, Wakgari Deressa
{"title":"在资源匮乏的环境中,艾滋病护理随访损失的比率和预测因素:分析关键风险期。","authors":"Tamrat Endebu, Girma Taye, Wakgari Deressa","doi":"10.1186/s12879-024-10089-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Patient loss-to-follow-up (LTFU) in HIV care is a major challenge, especially in low-resource settings. Although the literature has focused on the total rate at which patients disengage from care, it has not sufficiently examined the specific risk periods during which patients are most likely to disengage from care. By addressing this gap, researchers and healthcare providers can develop more targeted interventions to improve patient engagement in HIV care.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study on newly enrolled adult HIV patients at seven randomly selected high-volume health facilities in Ethiopia from May 2022 to April 2024. Data analysis was performed using SPSS version 26, with a focus on the incidence rate of LTFU during the critical risk periods. Cumulative hazard analysis was used to compare event distributions, whereas a Poisson regression model was used to identify factors predicting LTFU, with statistical significance set at p < 0.05.</p><p><strong>Results: </strong>The analysis included 737 individuals newly enrolled in HIV care; 165 participants (22.4%, 95% CI: 19.5-25.2) were LTFU by the end of two years, of which 50.1% occurred within the first 6 months, 29.7% within 7-12 months, and 19.4% from 13 to 24 months on ART. The overall incidence rate of LTFU was 18.3 per 1,000 PMO (95% CI: 15.9-20.6), with rates of 167.7 in the first 6 months, 55.4 in 7-12 months, and 18.1 in 13-24 months. Incomplete addresses lacking a phone number or location information (IRR: 1.61; 95% CI: 1.14, 2.27) and poor adherence (IRR: 1.78; 95% CI: 1.28, 2.48) were factors predicting the incidence rate of LTFU.</p><p><strong>Conclusion: </strong>LTFU peaked in the first 6 months, accounting for approximately half of total losses, remained elevated from months 7-12, and stabilized after the first year of HIV care and treatment. Address information and adherence were predictors of LTFU. To effectively minimize LTFU, efforts should focus on intensive support during the first six months of care, followed by sustained efforts and monitoring in the next six months. Our findings highlight a critical period for targeted interventions to reduce LTFU in HIV care.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11488147/pdf/","citationCount":"0","resultStr":"{\"title\":\"Rate and predictors of loss to follow-up in HIV care in a low-resource setting: analyzing critical risk periods.\",\"authors\":\"Tamrat Endebu, Girma Taye, Wakgari Deressa\",\"doi\":\"10.1186/s12879-024-10089-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Patient loss-to-follow-up (LTFU) in HIV care is a major challenge, especially in low-resource settings. Although the literature has focused on the total rate at which patients disengage from care, it has not sufficiently examined the specific risk periods during which patients are most likely to disengage from care. By addressing this gap, researchers and healthcare providers can develop more targeted interventions to improve patient engagement in HIV care.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study on newly enrolled adult HIV patients at seven randomly selected high-volume health facilities in Ethiopia from May 2022 to April 2024. Data analysis was performed using SPSS version 26, with a focus on the incidence rate of LTFU during the critical risk periods. Cumulative hazard analysis was used to compare event distributions, whereas a Poisson regression model was used to identify factors predicting LTFU, with statistical significance set at p < 0.05.</p><p><strong>Results: </strong>The analysis included 737 individuals newly enrolled in HIV care; 165 participants (22.4%, 95% CI: 19.5-25.2) were LTFU by the end of two years, of which 50.1% occurred within the first 6 months, 29.7% within 7-12 months, and 19.4% from 13 to 24 months on ART. The overall incidence rate of LTFU was 18.3 per 1,000 PMO (95% CI: 15.9-20.6), with rates of 167.7 in the first 6 months, 55.4 in 7-12 months, and 18.1 in 13-24 months. Incomplete addresses lacking a phone number or location information (IRR: 1.61; 95% CI: 1.14, 2.27) and poor adherence (IRR: 1.78; 95% CI: 1.28, 2.48) were factors predicting the incidence rate of LTFU.</p><p><strong>Conclusion: </strong>LTFU peaked in the first 6 months, accounting for approximately half of total losses, remained elevated from months 7-12, and stabilized after the first year of HIV care and treatment. Address information and adherence were predictors of LTFU. To effectively minimize LTFU, efforts should focus on intensive support during the first six months of care, followed by sustained efforts and monitoring in the next six months. Our findings highlight a critical period for targeted interventions to reduce LTFU in HIV care.</p>\",\"PeriodicalId\":8981,\"journal\":{\"name\":\"BMC Infectious Diseases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11488147/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Infectious Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12879-024-10089-6\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12879-024-10089-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

摘要

背景:在艾滋病护理过程中,患者失去随访(LTFU)是一项重大挑战,尤其是在资源匮乏的环境中。尽管文献关注的是患者脱离治疗的总比率,但并未充分研究患者最有可能脱离治疗的特定风险期。通过弥补这一不足,研究人员和医疗服务提供者可以制定更有针对性的干预措施,以提高患者参与艾滋病护理的积极性:我们对 2022 年 5 月至 2024 年 4 月期间在埃塞俄比亚随机选取的七家大容量医疗机构中新入院的成年 HIV 患者进行了一项回顾性队列研究。数据分析采用 SPSS 26 版本,重点关注关键风险期的 LTFU 发生率。累积危险分析用于比较事件分布,而泊松回归模型则用于确定预测LTFU的因素,统计显著性以p为标准:分析对象包括 737 名新加入艾滋病治疗的患者;165 名参与者(22.4%,95% CI:19.5-25.2)在两年后出现了 LTFU,其中 50.1% 发生在接受抗逆转录病毒疗法的前 6 个月,29.7% 发生在 7-12 个月,19.4% 发生在接受抗逆转录病毒疗法的 13-24 个月。LTFU的总发生率为18.3%.PMO(95% CI:15.9-20.6),其中前6个月为167.7%.,7-12个月为55.4%.,13-24个月为18.1%.。缺少电话号码或位置信息的不完整地址(IRR:1.61;95% CI:1.14, 2.27)和依从性差(IRR:1.78;95% CI:1.28, 2.48)是预测 LTFU 发生率的因素:结论:LTFU 在前 6 个月达到峰值,约占总损失的一半,在第 7-12 个月仍居高不下,在接受 HIV 护理和治疗的第一年后趋于稳定。地址信息和依从性是预测 LTFU 的因素。要想有效地将 LTFU 降到最低,就应将工作重点放在护理前六个月的强化支持上,然后在接下来的六个月中持续努力并进行监测。我们的研究结果突显了有针对性的干预措施的关键时期,以减少艾滋病护理中的 "LTFU"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Rate and predictors of loss to follow-up in HIV care in a low-resource setting: analyzing critical risk periods.

Background: Patient loss-to-follow-up (LTFU) in HIV care is a major challenge, especially in low-resource settings. Although the literature has focused on the total rate at which patients disengage from care, it has not sufficiently examined the specific risk periods during which patients are most likely to disengage from care. By addressing this gap, researchers and healthcare providers can develop more targeted interventions to improve patient engagement in HIV care.

Methods: We conducted a retrospective cohort study on newly enrolled adult HIV patients at seven randomly selected high-volume health facilities in Ethiopia from May 2022 to April 2024. Data analysis was performed using SPSS version 26, with a focus on the incidence rate of LTFU during the critical risk periods. Cumulative hazard analysis was used to compare event distributions, whereas a Poisson regression model was used to identify factors predicting LTFU, with statistical significance set at p < 0.05.

Results: The analysis included 737 individuals newly enrolled in HIV care; 165 participants (22.4%, 95% CI: 19.5-25.2) were LTFU by the end of two years, of which 50.1% occurred within the first 6 months, 29.7% within 7-12 months, and 19.4% from 13 to 24 months on ART. The overall incidence rate of LTFU was 18.3 per 1,000 PMO (95% CI: 15.9-20.6), with rates of 167.7 in the first 6 months, 55.4 in 7-12 months, and 18.1 in 13-24 months. Incomplete addresses lacking a phone number or location information (IRR: 1.61; 95% CI: 1.14, 2.27) and poor adherence (IRR: 1.78; 95% CI: 1.28, 2.48) were factors predicting the incidence rate of LTFU.

Conclusion: LTFU peaked in the first 6 months, accounting for approximately half of total losses, remained elevated from months 7-12, and stabilized after the first year of HIV care and treatment. Address information and adherence were predictors of LTFU. To effectively minimize LTFU, efforts should focus on intensive support during the first six months of care, followed by sustained efforts and monitoring in the next six months. Our findings highlight a critical period for targeted interventions to reduce LTFU in HIV care.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
期刊最新文献
Neuro-leishmaniasis with cauda equina syndrome and cranial nerve palsy: a rare manifestation of recurrent atypical visceral leishmaniasis. Antimicrobial stewardship programs in a Mexican private healthcare system: a self-assessment of core elements. Description of clinical cases and available diagnostic tools of oropharyngeal syphilis: a systematic review of the literature. Long COVID and recovery from Long COVID: quality of life impairments and subjective cognitive decline at a median of 2 years after initial infection. Antimicrobial susceptibility of enterobacterales causing bloodstream infection in United States medical centres: comparison of aztreonam-avibactam with beta-lactams active against carbapenem-resistant enterobacterales.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1