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进一步探索网络扩展方法的公共卫生影响:横断面调查研究。

Further Exploring the Public Health Implications of the Network Scale-Up Method: Cross-Sectional Survey Study.

机构信息

Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 South XinJian Road, Taiyuan, 030001, China, 86 03514135049.

Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States.

出版信息

JMIR Public Health Surveill. 2024 Aug 23;10:e48289. doi: 10.2196/48289.

Abstract

BACKGROUND

The decline in the number of new HIV infections among adults has slowed down, gradually becoming the biggest obstacle to achieving the 2030 target of ending the HIV/AIDS epidemic. Thus, a political declaration to ensure that 90% of people at high risk of HIV infection can access comprehensive prevention services was proposed by the United Nations General Assembly. Therefore, obtaining an accurate estimated size of high-risk populations is required as a prior condition to plan and implement HIV prevention services. The network scale-up method (NSUM) was recommended by the United Nations Programme on HIV/AIDS and the World Health Organization to estimate the sizes of populations at high risk of HIV infection; however, we found that the NSUM also revealed underlying population characteristics of female sex workers in addition to being used to estimate the population size. Such information on underlying population characteristics is very useful in improving the planning and implementation of HIV prevention services. This is especially relevant for people who inject drugs, where in addition to stigma and discrimination, criminalization further hinders access to HIV prevention services.

OBJECTIVE

We aimed to conduct a further exploration of the public health implications of the NSUM by using it to estimate the population size, popularity ratio, and information transmission rate among people who inject drugs.

METHODS

A stratified 2-stage cluster survey of the general population and a respondent-driven sampling survey of people who inject drugs were conducted in the urban district of Taiyuan, China, in 2021.

RESULTS

The estimated size of the population of people who inject drugs in Taiyuan was 1241.9 (95% CI 1009.2-1474.9), corresponding to 4.4×10-2% (95% CI 3.6×10-2% to 5.2×10-2%) of the adult population aged 15-64 years. The estimated popularity ratio of people who inject drugs was 53.6% (95% CI 47.2%-60.1%), and the estimated information transmission rate was 87.9% (95% CI 86.5%-89.3%).

CONCLUSIONS

In addition to being used to estimate the size of the population of people who inject drugs, the NSUM revealed that they have smaller-sized personal social networks while concealing their drug use, and these underlying population characteristics are extremely useful for planning appropriate service delivery approaches with the fewest barriers for people who inject drugs to access HIV prevention services. Therefore, more cost-effectiveness brings new public health implications for the NSUM, which makes it even more promising for its application.

摘要

背景

成人中新感染艾滋病毒的人数增长速度有所放缓,逐渐成为实现 2030 年终结艾滋病流行目标的最大障碍。因此,联合国大会提出了一项政治宣言,确保 90%有感染艾滋病毒高风险的人能够获得全面预防服务。因此,获得准确估计高危人群的规模是规划和实施艾滋病毒预防服务的前提条件。联合国艾滋病规划署和世界卫生组织推荐网络扩展法(NSUM)来估计艾滋病毒感染高危人群的规模;然而,我们发现,NSUM 除了用于估计人口规模外,还揭示了性工作者的潜在人口特征。这些有关潜在人口特征的信息对于改进艾滋病毒预防服务的规划和实施非常有用。这对于注射毒品者来说尤其重要,因为除了耻辱和歧视外,刑事定罪进一步阻碍了他们获得艾滋病毒预防服务。

目的

我们旨在通过使用 NSUM 进一步探讨其对公共卫生的影响,以估计注射毒品者的人口规模、流行率和信息传播率。

方法

2021 年,在中国太原市城区进行了一项分层 2 阶段的普通人群整群抽样调查和一项注射毒品者的应答驱动抽样调查。

结果

太原市注射毒品者的估计人口规模为 1241.9 人(95%CI1009.2-1474.9),占 15-64 岁成年人口的 4.4×10-2%(95%CI3.6×10-2%至 5.2×10-2%)。估计的注射毒品者流行率为 53.6%(95%CI47.2%-60.1%),估计的信息传播率为 87.9%(95%CI86.5%-89.3%)。

结论

除了用于估计注射毒品者的人口规模外,NSUM 还揭示了他们的个人社交网络规模较小,同时掩盖了他们的吸毒行为,这些潜在的人口特征对于规划适当的服务提供方法非常有用,可以减少注射毒品者获得艾滋病毒预防服务的障碍。因此,NSUM 具有更高的成本效益,为其应用带来了新的公共卫生意义,使其更有前途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a978/11363877/f39620265fbe/publichealth-v10-e48289-g001.jpg

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