使用新型数据共享模型评估COVID-19大流行对PWID健康的影响

IF 3.4 2区 医学 Q3 IMMUNOLOGY
AIDS Pub Date : 2024-11-28 DOI:10.1097/QAD.0000000000004076
Heather Bradley, Nicole Luisi, Anastasia Carter, Terri D Pigott, Daniela Abramovitz, Sean T Allen, Alice Asher, Chelsea Austin, Tyler S Bartholomew, Marianna Baum, Amy Board, Basmattee Boodram, Annick Borquez, Kathryn A Brookmeyer, Kate Buchacz, Janet Burnett, Hannah L F Cooper, Nicole Crepaz, Kora Debeck, Judith Feinberg, Chunki Fong, Edward Freeman, Nathan Woo Furukawa, Becky Genberg, Pamina Gorbach, Holly Hagan, Kanna Hayashi, Emalie Huriaux, Hermione Hurley, Jeanne Keruly, Kathleen Kristensen, Shenghan Lai, Natasha K Martin, Pedro Mateu-Gelabert, Gregory M Mcclain, Shruti Mehta, Wing Yin Mok, Marley Reynoso, Steffanie Strathdee, Nicole Torigian, Chenziheng Allen Weng, Ryan Westergaard, April Young, Don C Des Jarlais
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引用次数: 0

摘要

目的:利用创新的数据共享模型,评估2019冠状病毒病大流行对注射吸毒者健康的影响。设计:PWID数据协作成立于2021年,旨在促进北美PWID研究的数据共享。贡献研究提交了大流行前(2019年3月至2020年2月)、大流行早期(2020年3月至2021年2月)、大流行中期(2021年3月至2022年2月)和大流行晚期(2022年3月至2023年2月)四个时期23项标准化指标的汇总数据。方法:我们对服用阿片类药物使用障碍药物、接受药物使用治疗、共用注射器或注射设备、有精神健康状况、被监禁或无家可归的PWID患者的百分比进行了研究特异性和meta分析估计。为了检验各指标随时间的变化,我们拟合了一个随机效应元回归模型,以时间作为调节因子来估计患病率。结果:13项研究为数据协作提供了这些指标的估计,代表了6,213个PWID访谈。我们观察到,在大流行前(2019年3月至2020年2月)和随后的三个时间段,整体或个别研究中,六项指标的流行率变化很小。在研究和特定时间的估计中观察到相当大的异质性。结论:在PWID健康指标中观察到的与大流行相关的有限变化可能是政策和支持性服务相关变化的结果,也可能反映了服务提供者和PWID本身的复原力。数据协作是一种前所未有的数据共享模式,有可能大大提高PWID健康数据的质量和及时性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing COVID-19 pandemic impacts on the health of PWID using a novel data sharing model.

Objective: Using an innovative data sharing model, we assessed the impacts of the COVID-19 pandemic on the health of people who inject drugs (PWID).

Design: The PWID Data Collaborative was established in 2021 to promote data sharing across PWID studies in North America. Contributing studies submitted aggregate data on 23 standardized indicators during four time periods: pre-pandemic (Mar 2019 - Feb 2020), early-pandemic (Mar 2020 - Feb 2021), mid-pandemic (Mar 2021 - Feb 2022), and late pandemic (Mar 2022 - Feb 2023).

Methods: We present study-specific and meta-analyzed estimates for the percentage of PWID who took medications for opioid use disorder, received substance use treatment, shared syringes or injection equipment, had a mental health condition, had been incarcerated, or had experienced houselessness. To examine change over time across indicators, we fit a random effects meta-regression model to prevalence estimates using time as a moderator.

Results: Thirteen studies contributed estimates to the Data Collaborative on these indicators, representing 6,213 PWID interviews. We observed minimal change across prevalence of the six indicators between the pre-pandemic (March 2019 - February 2020) and three subsequent time periods, overall or within individual studies. Considerable heterogeneity was observed across study- and time-specific estimates.

Conclusions: Limited pandemic-related change observed in indicators of PWID health is likely a result of policy and supportive service-related changes and may also reflect resilience among service providers and PWID themselves. The Data Collaborative is an unprecedented data sharing model with potential to greatly improve the quality and timeliness of data on the health of PWID.

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来源期刊
AIDS
AIDS 医学-病毒学
CiteScore
5.90
自引率
5.30%
发文量
478
审稿时长
3 months
期刊介绍: ​​​​​​​​​​​​​​​​​Publishing the very latest ground breaking research on HIV and AIDS. Read by all the top clinicians and researchers, AIDS has the highest impact of all AIDS-related journals. With 18 issues per year, AIDS guarantees the authoritative presentation of significant advances. The Editors, themselves noted international experts who know the demands of your work, are committed to making AIDS the most distinguished and innovative journal in the field. Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.
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