为吸毒者公平分配数字医疗的考虑因素

Zoi Papalamprakopoulou, Sotirios Roussos, Elisavet Ntagianta, Vasiliki Triantafyllou, George Kalamitsis, Arpan Dharia, Vana Sypsa, Angelos Hatzakis, Andrew H. Talal
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摘要

背景:远程医疗有可能扩大吸毒者(PWUD)获得医疗保健的机会。然而,人们对如何增加吸毒者获得数字医疗服务的机会还不甚了解。我们研究了吸毒者获得数字医疗的情况:我们采用受访者驱动的抽样方法,在希腊雅典招募了 162 名吸毒者,通过结构化问卷收集数据。参与者年龄至少为 18 岁,有注射吸毒史。我们评估了他们目前使用互联网和计算机的情况,以及使用远程医疗的经验。我们采用逻辑回归法评估社会人口学关联:参与者的平均年龄(标准差)为 45.9 (8.8) 岁,84.0% 为男性,90.1% 为希腊人,77.8% 在过去一年中报告过 IDU,85.2% 没有接受过阿片类药物治疗,50.0% 目前无家可归。只有 1.9% 的人有远程医疗经验,46.3% 的人熟悉远程医疗。分别有 66.0% 和 31.5% 的参与者使用过互联网和电脑。与有安全住房的参与者相比,目前无家可归的参与者上网(50.6% vs 81.5%,p<0.001)和使用电脑(11.1% vs 51.9%,p<0.001)的机会较少。多变量分析显示,年龄越大(每增加 1 岁:几率比 [OR]=0.94, 95% 置信区间 [CI] [0.89, 0.99],p=0.03)、过去一年内注射吸毒(0.29 [0.10, 0.88],p=0.03)和无家可归(0.29, [0.13, 0.65],p=0.003)与上网几率越低有关。无家可归者使用电脑的几率较低(0.17,[0.07,0.41],p<0.001):结论:应考虑互联网和基础设施挑战、无家可归和数字扫盲差距,以弥合数字鸿沟,确保为残疾人提供公平的数字医疗保健服务。
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Considerations for Equitable Distribution of Digital Healthcare for People Who Use Drugs
Background: Telehealth holds the potential to expand healthcare access for people who use drugs (PWUD). However, approaches to increase PWUDs' access to digital healthcare are not well understood. We studied digital healthcare accessibility among PWUD. Methods: We employed respondent-driven sampling to recruit 162 PWUD in Athens, Greece to collect data via a structured questionnaire. Participants were aged at least 18 years and had an injection drug use (IDU) history. We assessed current internet and computer access, and experience with telemedicine. We utilized logistic regression to evaluate sociodemographic associations. Results: Participants' mean (standard deviation) age was 45.9 (8.8) years, 84.0% were male, 90.1% Greek, 77.8% reported IDU within the past year, 85.2% were not linked to opioid treatment, and 50.0% were currently experiencing homelessness. Only 1.9% had experience and 46.3% had familiarity with telemedicine. Internet and computer access were reported by 66.0% and 31.5% of participants, respectively. Compared to participants with secure housing, those currently experiencing homelessness reported decreased internet (50.6% vs 81.5%, p<0.001) and computer access (11.1% vs 51.9%, p<0.001). Multivariable analyses revealed that older age (per 1-year increase: odds ratio [OR]=0.94, 95% confidence interval [CI] [0.89, 0.99], p=0.03), IDU within the past year (0.29 [0.10, 0.88], p=0.03), and homelessness (0.29, [0.13, 0.65], p=0.003) were associated with lower odds of internet access. Homelessness was associated with lower odds of computer access (0.17, [0.07, 0.41], p<0.001). Conclusions: Internet and infrastructure challenges, homelessness, and digital literacy gaps should be considered to bridge the digital divide and ensure equitable digital healthcare distribution for PWUD.
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