Gindi Renee M, Rucker Monique G, Serio-Chapman Christine E, Sherman Susan G
Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Drug Alcohol Depend. 2009 Aug 1;103(3):93-8. doi: 10.1016/j.drugalcdep.2008.12.018. Epub 2009 May 22.
NEP effectiveness at a population level depends on several factors, including the number of injection drug users (IDUs) retained, or consistently accessing services. Patterns of retention in the Baltimore Needle Exchange Program (BNEP) from 1994 to 2006 were calculated using enrollment surveys and client records. We used Andersen's Behavioral Model of Health Services Use to frame our examination of factors associated with retention. Client retention was measured in two ways: whether a client returned to the exchange within 12 months of enrollment and how many times a client returned within these 12 months. BNEP clients (N=12,388) were predominantly male (69%), African-American (73%), and >or=age 30 (86%). Nearly two-thirds (64%) of clients returned within 12 months of their first BNEP visit. The median number of return visits per client within 12 months was one (IQR: 0-5). Young age (<30), being married, having an injection drug use history of less than 20 years, and living farther from the BNEP site were characteristics independently associated with both measures of low retention in multivariate analysis. Among younger injectors, geographical proximity was a particularly important predictor of retention. Further insight into the influence of these factors may help in developing programmatic changes that will be effective in increasing retention.
在人群层面,针头交换项目(NEP)的成效取决于多个因素,包括接受服务的注射吸毒者(IDU)数量或持续接受服务的情况。利用登记调查和客户记录计算了1994年至2006年巴尔的摩针头交换项目(BNEP)的留存模式。我们采用安德森卫生服务利用行为模型来构建对与留存相关因素的考察。客户留存通过两种方式衡量:客户在登记后12个月内是否回到交换项目以及客户在这12个月内返回的次数。BNEP客户(N = 12388)主要为男性(69%)、非裔美国人(73%)且年龄≥30岁(86%)。近三分之二(64%)的客户在首次访问BNEP后的12个月内返回。每位客户在12个月内回访的中位数为1次(四分位间距:0 - 5)。在多变量分析中,年龄较小(<30岁)、已婚、注射吸毒史少于20年以及居住距离BNEP站点较远是与低留存的两种衡量指标均独立相关的特征。在较年轻的注射吸毒者中,地理 proximity是留存的一个特别重要的预测因素。对这些因素影响的进一步洞察可能有助于制定有效的项目变更措施以提高留存率。 (注:原文中“geographical proximity”表述不完整,推测可能是“地理距离近”之类意思)