缅甸COVID-19大流行期间艾滋病毒护理服务中断:2018-2022年常规项目数据分析结果

IF 2.2 Q3 INFECTIOUS DISEASES
Myat Khaing, Sein Lwin, Naw Paw, Zun Htet, Lynn Htet, Hein Ko, May Thet
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引用次数: 0

摘要

背景:COVID-19大流行扰乱了全世界有组织的艾滋病毒筛查工作、艾滋病毒检测和管理,缅甸尚未对私营艾滋病毒护理诊所造成的这些破坏的影响进行研究。PSI/缅甸通过合作诊所,太阳质量健康诊所(SQH)和Lan Pya Kyel诊所(LPK)进行了调整,采取了在线预订、工作人员安排和宣传活动等措施。本文的目的是描述缅甸在COVID-19大流行之前,期间和之后艾滋病毒相关服务是否发生了变化。本研究旨在确定影响ART保留和VL检测的因素。方法:分析了来自8个地区43家医疗机构(2018-2022年)的艾滋病毒指标,包括艾滋病毒检测、阳性病例、抗逆转录病毒药物保留率、病毒载量(VL)检测和两个渠道在不同阶段的抑制率。结果:在2019冠状病毒病大流行期间,1通道(SQH)和2通道(LPK)的HIV检测和新发阳性病例均出现波动。通道1的检测次数减少了28.2%(减少了37 735次),而通道2的检测次数增加了8.1%(81 596次)。然而,测试数量继续下降。与两个渠道的6个月相比,ART保留率在12个月内有所下降。第一频道在危机期间6个月的留存率略有下降(89.3-88.1%),但在危机后12个月的留存率有所上升。渠道2维持了较高的6个月留存率(约90%),但12个月的留存率有所变化(从80.1%到92.9%)。两种通道在12个月时不成功的情况更为常见(通道1为4.7% -21.8%;在危机期间,12个月的VL测试显著下降,特别是在通道2(81.9-1.3%)。然而,在COVID-19之前、期间和之后,在两个通道中测试的患者中,VL抑制率一直很高(bbb91 %)。采用单变量和多变量cox比例风险模型确定影响ART保留的因素。对VL检验进行单变量和多变量logistic回归分析。居住地、COVID-19病程、二线抗逆转录病毒治疗的使用以及患者人口统计学(如年龄和重点人群类型)等因素对两者都有影响。结论:该研究强调了由于COVID-19大流行而中断抗逆转录病毒治疗和VL检测的情况,强调需要维持基本的艾滋病毒服务,并根据患者人口统计学、诊所类型、抗逆转录病毒治疗登记期和地点解决差距。某些因素在影响这些结果方面发挥了作用,为在类似危机情况下改善艾滋病毒护理和治疗的潜在领域提供了见解,以确保持续和有效的艾滋病毒护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Service Interruption in HIV Care Amid COVID-19 Pandemic in Myanmar: Results From Analysis of Routine Program Data 2018-2022.

Background: COVID-19 pandemic disrupted organized HIV screening efforts, HIV testing and management worldwide, and the impact of these disruptions from private HIV care clinics have not been examined in Myanmar. PSI/Myanmar had adapted through partner clinics, Sun Quality Health Clinics (SQH) and Lan Pya Kyel clinics (LPK), with measures like online booking, staff scheduling and awareness campaigns. The purpose of this paper was to describe whether HIV-related services changed before, during, and after the COVID-19 pandemic in Myanmar. This study aimed to identify factors influencing ART retention and VL testing.

Methodology: Data from 43 healthcare facilities across 8 regions (2018-2022) was analyzed for HIV indicators, including HIV tests, positive cases, ART retention, viral load (VL) testing, and suppression rates in two channels during different phases.

Results: During the COVID-19 pandemic, both Channel 1 (SQH) and Channel 2 (LPK) showed fluctuations in HIV testing and new positive cases. Channel 1 had 28.2% decrease in testing (37 735 fewer tests) while Channel 2 had 8.1% increase (81 596 tests). However, testing numbers continued to decline. ART retention declined over 12 months compared to 6 months for both channels. Channel 1 had a slight drop in 6-month retention during the crisis (89.3-88.1%) but an increase in 12-month retention after. Channel 2 maintained high 6-month retention rates (>90%) but varied in 12-month rates (from 80.1% to 92.9%). Unsuccessful outcomes were more common at 12 months in both channels (4.7-21.8% in Channel 1; 7.1-19.9% in Channel 2). VL testing at 12 months significantly decreased during the crisis, notably in Channel 2 (81.9-1.3%). However, high rates of VL suppression (>91%) were consistently seen in those tested in both channels before, during, and after COVID-19. Univariable and multivariable cox proportional hazards models were used to identify factors influencing ART retention. Univariable and multivariable logistic regression analyses were done for VL testing. Factors such as residence location, the period of COVID-19, use of second-line ART, and patient demographics (such as age and key population type) influenced both. Specifically, individuals seeking care from Mandalay [aHR = 1.37, P value < 0.01], and enrolled for ART during or after COVID-19 [aHR = 3.31, P value < 0.01], were more likely to be retained at 12 months. VL testing was positively associated with having no TB [aOR = 1.35, P value < 0.01], being MSM [aOR = 1.69, P value < 0.01], PWIDs [aOR = 2.51, P value < 0.01], and seeking care at Channel 2[aOR = 1.76, P value < 0.01].

Conclusion: The study highlighted interruption in ART retention and VL testing because of the COVID-19 pandemic, emphasizing the need to maintain essential HIV services and address gaps based on patient demographics, clinic type, ART enrollment period, and location. Certain factors played a role in influencing these outcomes, providing insights into potential areas for improvement in HIV care and treatment during similar crisis situations to ensure consistent and effective HIV care.

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CiteScore
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