Huba G J, Melchior L A, Smereck G A, Brown V B, Jean-Louis E, German V F, Gallagher T, McDonald S S, Stanton A, Hughes C, Marconi K, Panter A T
Measurement Group, 5811A Uplander Way, Culver City, CA 90230, USA.
Home Health Care Serv Q. 2001;19(1-2):53-75. doi: 10.1300/J027v19n01_04.
Persons living with HIV/AIDS face many issues that make them highly vulnerable to a number of health and social problems. As the demographics of the epidemic have shifted in recent years, many members of traditionally underserved groups have encountered barriers to entering the services system. This article uses data from seven national demonstration projects funded to enroll persons with HIV/AIDS who tend to "fall through the cracks" and help them access needed services. Data on the initial perceptions of the participants about barriers to accessing services were related to 17 indicators of traditionally underserved status including demographic characteristics and behavioral variables using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Through the modeling methods, the groups most likely to experience a large number of barriers to service participation are identified. Having children needing care is particularly predictive of the level of barriers to care.
感染艾滋病毒/艾滋病的人面临着许多问题,这些问题使他们极易遭受多种健康和社会问题。近年来,随着该流行病的人口结构发生变化,许多传统上服务不足群体的成员在进入服务系统时遇到了障碍。本文使用了来自七个国家示范项目的数据,这些项目旨在招募那些往往“被遗漏”的艾滋病毒/艾滋病感染者,并帮助他们获得所需的服务。使用穷举CHAID(卡方自动交互检测器)的数据建模方法,将参与者对获得服务障碍的初始看法数据与17个传统上服务不足状况的指标相关联,这些指标包括人口特征和行为变量。通过建模方法,确定了最有可能在服务参与方面遇到大量障碍的群体。有需要照顾的孩子尤其能预测护理障碍的程度。