Is there a relationship between geographic distance and uptake of HIV testing services? A representative population-based study of Chinese adults in Guangzhou, China.

Is there a relationship between geographic distance and uptake of HIV testing services? A representative population-based study of Chinese adults in Guangzhou, China.
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DOI:
10.1371/journal.pone.0180801
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发表时间:
2017
期刊:
影响因子:
3.7
通讯作者:
Ling L
Ling L
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Chen W;Zhou F;Hall BJ;Tucker JD;Latkin C;Renzaho AMN;Ling L

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在许多卫生系统中,实现艾滋病毒检测服务的高覆盖率至关重要,特别是在艾滋病毒检测服务仍然集中和对许多人不方便的地方。因此,规划艾滋病毒检测点的最佳空间分布越来越重要。我们的目的是评估地理距离和艾滋病毒检测服务在中国广州的一般人群中的吸收之间的关系。利用空间流行病学方法和分层家庭随机抽样,我们研究了666名18-59岁的成年人。计算机辅助访谈评估自我报告的艾滋病毒检测史。空间扫描统计评估了曾经接受过艾滋病毒检测的参与者的聚集,两级逻辑回归模型评估了艾滋病毒检测的摄入量与从参与者住所到研究地点所有艾滋病毒检测点的平均驾驶距离之间的关联。曾接受过HIV检测的参与者比例为25.2%(168/666,95%CI:21.9%,28.5%),大多数(82.7%)参与者在疾病控制和预防中心、公立医院或性病诊所接受过HIV检测。没有报告使用自检。空间聚类分析发现,一个热点包括48名曾接受过HIV检测的参与者和25.8例预期病例(率比= 1.86,P = 0.002)。调整后的两级逻辑回归发现地理距离(公里)与是否接受过HIV检测呈负相关(aOR = 0.90,95%CI:0.84,0.96)。已婚或同居的参与者(aOR = 2.14,95%CI:1.09,4.20)和那些有更多社会支持的人(aOR = 1.04,95%CI:1.01,1.07)更有可能接受HIV检测。我们的研究结果强调了考虑艾滋病毒检测点的地理分布以增加检测的重要性。此外,通过引入非设施艾滋病毒检测服务和自我检测来扩大艾滋病毒检测覆盖面,可能有助于实现到2020年90%的艾滋病毒感染者了解其艾滋病毒状况的目标。
Achieving high coverage of HIV testing services is critical in many health systems, especially where HIV testing services remain centralized and inconvenient for many. As a result, planning the optimal spatial distribution of HIV testing sites is increasingly important. We aimed to assess the relationship between geographic distance and uptake of HIV testing services among the general population in Guangzhou, China. Utilizing spatial epidemiological methods and stratified household random sampling, we studied 666 adults aged 18–59. Computer-assisted interviews assessed self-reported HIV testing history. Spatial scan statistic assessed the clustering of participants who have ever been tested for HIV, and two-level logistic regression models assessed the association between uptake of HIV testing and the mean driving distance from the participant’s residence to all HIV testing sites in the research sites. The percentage of participants who have ever been tested for HIV was 25.2% (168/666, 95%CI: 21.9%, 28.5%), and the majority (82.7%) of participants tested for HIV in Centres for Disease Control and Prevention, public hospitals or STIs clinics. None reported using self-testing. Spatial clustering analyses found a hotspot included 48 participants who have ever been tested for HIV and 25.8 expected cases (Rate Ratio = 1.86, P = 0.002). Adjusted two-level logistic regression found an inverse relationship between geographic distance (kilometers) and ever being tested for HIV (aOR = 0.90, 95%CI: 0.84, 0.96). Married or cohabiting participants (aOR = 2.14, 95%CI: 1.09, 4.20) and those with greater social support (aOR = 1.04, 95%CI: 1.01, 1.07) were more likely to be tested for HIV. Our findings underscore the importance of considering the geographical distribution of HIV testing sites to increase testing. In addition, expanding HIV testing coverage by introducing non-facility based HIV testing services and self-testing might be useful to achieve the goal that 90% of people living with HIV knowing their HIV status by the year 2020.
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