RAND Corporation, Santa Monica, CA.
National Center for Health Statistics, Centers for Disease Control and Prevention (CDC), Hyattsville, MD.
Med Care. 2019 Dec;57(12):e87-e95. doi: 10.1097/MLR.0000000000001190.
General population surveys are increasingly offering broader response options for questions on sexual orientation-for example, not only gay or lesbian, but also "something else" (SE) and "don't know" (DK). However, these additional response options are potentially confusing for those who may not know what the terms mean. Researchers studying sexual orientation-based disparities face difficult methodological trade-offs regarding how best to classify respondents identifying with the SE and DK categories.
Develop respondent-level probabilities of sexual minority orientation without excluding or misclassifying the potentially ambiguous SE and DK responses. Compare 3 increasingly inclusive analytic approaches for estimating health disparities using a single item: (a) omitting SE and DK respondents; (b) classifying SE as sexual minority and omitting DK; and (c) a new approach classifying only SE and DK respondents with >50% predicted probabilities of being sexual minorities as sexual minority.
We used the sociodemographic information and follow-up questions for SE and DK respondents in the 2013-2014 National Health Interview Survey to generate predicted probabilities of identifying as a sexual minority adult.
About 94% of the 144 SE respondents and 20% of the 310 DK respondents were predicted to identify as a sexual minority adult, with higher probabilities for younger, wealthier, non-Hispanic white, and urban-dwelling respondents. Using a more specific definition of sexual minority orientation improved the precision of health and health care disparity estimates.
Predicted probabilities of sexual minority orientation may be used in this and other surveys to improve representation and categorization of those who identify as a sexual minority adult.
越来越多的普通人群调查为性取向问题提供了更广泛的回答选项,例如,不仅有同性恋或双性恋,还有“其他”(SE)和“不知道”(DK)。然而,对于那些可能不知道这些术语含义的人来说,这些额外的回答选项可能会令人困惑。研究性取向差异的研究人员在如何最好地对认同 SE 和 DK 类别的受访者进行分类方面,面临着艰难的方法学权衡。
开发不排除或错误分类潜在模糊的 SE 和 DK 响应的受访者层面的性少数群体取向概率。使用一个单一项目比较 3 种越来越包容的分析方法来估计健康差异:(a)排除 SE 和 DK 受访者;(b)将 SE 分类为性少数群体并排除 DK;(c)一种新方法,仅将 SE 和 DK 受访者中预测有 50%以上为性少数群体的受访者分类为性少数群体。
我们使用 2013-2014 年全国健康访谈调查中的社会人口统计学信息和 SE 和 DK 受访者的后续问题,生成识别为成年性少数群体的预测概率。
约 94%的 144 名 SE 受访者和 20%的 310 名 DK 受访者被预测为识别为性少数群体成年人,年龄较小、较富裕、非西班牙裔白人、以及居住在城市的受访者的概率更高。使用更具体的性少数群体取向定义可以提高健康和医疗保健差异估计的精度。
在这项调查和其他调查中,可以使用性少数群体取向的预测概率来改善识别为性少数群体成年人的代表性和分类。