Weissman Sharon, Duffus Wayne A, Vyavaharkar Medha, Samantapudi Ashok Varma, Shull Kirk A, Stephens Teresa G, Chakraborty Hrishikesh
Division of Infectious Diseases, Department of Medicine, University of South Carolina, Columbia, South Carolina.
J Rural Health. 2014 Summer;30(3):275-83. doi: 10.1111/jrh.12057. Epub 2013 Dec 15.
To gain a better understanding of the HIV epidemic in rural South Carolina (SC) by contrasting 3 definitions of rural and urban areas.
The sample included newly diagnosed HIV cases aged ≥18 years in SC between January 1, 2005, and December 31, 2011. Each individual was assigned a rural or urban status as defined by the Office of Management and Budget (OMB), Census Bureau (CB), and Rural Urban Commuting Area (RUCA) classifications. Descriptive statistics were conducted to compare sociodemographic characteristics, CD4 counts, viral loads, and time to AIDS diagnosis between rural and urban populations. Kappa statistics measured the agreement between the 3 definitions of rurality.
Depending on the definition used, the proportion of newly diagnosed HIV cases in rural areas varied from 23.3% to 32.0%. Based on the OMB and RUCA definitions, rural residents with HIV were more likely to be older, women, black, and non-Hispanic, report heterosexual contact, and have an AIDS diagnosis within 1 year of their HIV diagnosis. The OMB and RUCA definitions had a nearly perfect agreement (kappa = 0.8614; 95% CI = 0.8457, 0.8772), while poor agreements were noted between the OMB and CB or the RUCA and CB definitions.
When examining the rural HIV epidemic, how "rural" is defined matters. Using 3 definitions of rurality, statistically significant differences were found in demographic characteristics, timing of HIV diagnosis and the proportion of rural residents diagnosed with HIV in SC. The findings suggest possible misclassification biases that may adversely influence services and resource distribution.
通过对比农村和城市地区的三种定义,更好地了解南卡罗来纳州(SC)农村地区的艾滋病毒疫情。
样本包括2005年1月1日至2011年12月31日期间在SC新诊断出的年龄≥18岁的艾滋病毒病例。根据管理和预算办公室(OMB)、人口普查局(CB)以及农村城市通勤区(RUCA)分类,为每个个体指定农村或城市身份。进行描述性统计以比较农村和城市人口的社会人口特征、CD4细胞计数、病毒载量以及艾滋病诊断时间。kappa统计量衡量了农村三种定义之间的一致性。
根据所使用的定义,农村地区新诊断出的艾滋病毒病例比例在23.3%至32.0%之间。根据OMB和RUCA定义,感染艾滋病毒的农村居民更有可能年龄较大、为女性、黑人且非西班牙裔,报告有异性接触,并且在艾滋病毒诊断后1年内被诊断出患有艾滋病。OMB和RUCA定义之间的一致性近乎完美(kappa = 0.8614;95%可信区间 = 0.8457,0.8772),而在OMB与CB或RUCA与CB定义之间观察到一致性较差。
在研究农村艾滋病毒疫情时,“农村”的定义很重要。使用农村的三种定义,在人口特征、艾滋病毒诊断时间以及SC农村居民中被诊断出感染艾滋病毒的比例方面发现了统计学上的显著差异。研究结果表明可能存在错误分类偏差,这可能会对服务和资源分配产生不利影响。