Medical Service Use among Individuals Receiving Hiv Prevention Services in Los Angeles County
Medical Service Use among Individuals Receiving Hiv Prevention Services in Los Angeles County
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DOI：
10.1177/107937391403600404
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发表时间：
2014-12
影响因子：
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通讯作者：
Erlyana Erlyana-Erlyana;D. Fisher;G. Reynolds;Michael A. Jansen
中科院分区：
文献类型：
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作者：
Erlyana Erlyana-Erlyana;D. Fisher;G. Reynolds;Michael A. Jansen
在艾滋病毒感染风险增加的社区及时提供医疗服务，对于发现感染和进一步防止艾滋病毒传播至关重要。在美国，大约三分之一的艾滋病病例是在感染后期被发现的。目前的研究利用Gelberg-Andersen行为模型来预测HIV感染风险人群的医疗服务使用情况。候选变量包括：社会支持，态度和行为变量。这些数据是从2004年洛杉矶县艾滋病预防机构的客户那里收集的，他们参加了全县风险评估调查（CRAS）。使用逻辑回归模型，研究表明，与使用医疗服务呈正相关的因素包括生活在治疗中心/中途之家或使命/庇护所，身体/性虐待的经历，以及曾经接受艾滋病毒检测/咨询。与医疗服务使用呈负相关的因素是男性、教育程度和饮酒。使用SAS 9.3进行分析。大多数研究结果与Gelberg-Andersen模型一致。例外情况是，身体虐待或性虐待的受害者更有可能使用服务，而不是像模型预测的那样不太可能。
Timely provision of medical services among communities at increased risk of HIV infection is crucial to detect the infection and to further prevent the spread of HIV. in the US, about one third of HIV cases were identified in the later stage of infection. the current study utilized the Gelberg-Andersen behavioral model for predicting medical service use among people who were at risk of HIV infection. the candidate variables included: social support, attitudinal, and behavioral variables. the data were collected from clients of HIV prevention agencies in Los Angeles County in 2004 who participated in the Countywide Risk Assessment Survey (CRAS). Using a logistic regression model, the study suggested that factors that were positively associated with use of medical services included living in a treatment center/ halfway house or mission/ shelter, experience of physical/ sexual abuse, and ever receiving HIV testing/ counseling. Factors inversely associated with medical service use were male gender, education, and consumption of alcohol. Analysis was conducted using SAS 9.3. Most of the findings are consistent with the Gelberg-Andersen model. the exception was that victims of physical or sexual abuse were more likely to use services instead of less likely as predicted by the model.