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一种综合方法测量妇女获得卫生服务方面的性取向差异:全国健康访谈调查的应用。

An Integrated Approach to Measuring Sexual Orientation Disparities in Women's Access to Health Services: A National Health Interview Survey Application.

机构信息

1 RAND Corporation, Santa Monica, California.

2 RAND Corporation, Pittsburgh, Pennsylvania.

出版信息

LGBT Health. 2019 Feb/Mar;6(2):87-93. doi: 10.1089/lgbt.2018.0190. Epub 2019 Feb 6.

DOI:10.1089/lgbt.2018.0190
PMID:30724685
Abstract

PURPOSE

The extent to which disparities affect all sexual minority women (SMW) versus specific subgroups of lesbian, bisexual, or other women remains unclear, in part due to inconsistent analysis of available data. We propose an integrated approach that aggregates subgroups to maximize power to detect broadly applicable disparities, then tests for subgroup heterogeneity, exercising caution with disaggregation when there is no direct evidence of heterogeneity.

METHODS

Multivariate analyses of 2014-2015 National Health Interview Survey data examined six barriers to care. We compared heterosexual women (n = 36,474) with SMW (n = 1048) overall and tested for heterogeneous outcomes among subgroups of SMW compared with heterosexual women and with each other.

RESULTS

Controlling for sociodemographics and health status, aggregated analyses showed that SMW were more likely than heterosexual peers to have trouble finding a provider (adjusted percentages 5.1% vs. 3.2%, p < 0.01) and no optimal usual place of care (14.5% vs. 11.2%, p < 0.01). There was no evidence of subgroup heterogeneity for either barrier, suggesting uniform disparities for SMW. In contrast, only lesbian/gay women were more likely than heterosexual women to be told their health insurance was not accepted (p = 0.03); this was the only outcome for which the adjusted difference between bisexual and lesbian/gay women was significant (2.8% vs. 6.3%, p = 0.02).

CONCLUSION

Analyses that only disaggregated data would have understated overall sexual minority disparities and perhaps overstated subgroup differences; an integrated approach can more accurately characterize disparities experienced by all SMW versus those specific to certain subgroups. Large national surveys should include sexual orientation questions to support adequately powered comparisons.

摘要

目的

差异在多大程度上影响所有性少数女性(SMW)与特定的女同性恋、双性恋或其他女性亚组之间仍不清楚,部分原因是对现有数据的分析不一致。我们提出了一种综合方法,该方法将亚组汇总以最大限度地提高检测广泛适用的差异的能力,然后测试亚组之间的异质性,在没有直接异质性证据的情况下谨慎地进行细分。

方法

对 2014-2015 年全国健康访谈调查数据进行多变量分析,研究了六种护理障碍。我们将异性恋女性(n=36474)与 SMW(n=1048)进行了总体比较,并对 SMW 与异性恋女性以及彼此之间的亚组进行了异质性结果的检验。

结果

在控制了社会人口统计学和健康状况后,综合分析表明,SMW 比异性恋同龄人更有可能在寻找提供者方面遇到困难(调整后的百分比分别为 5.1%和 3.2%,p<0.01),也没有最佳的常规就诊地点(分别为 14.5%和 11.2%,p<0.01)。对于这两种障碍,都没有证据表明存在亚组异质性,这表明 SMW 存在统一的差异。相比之下,只有女同性恋/男同性恋女性比异性恋女性更有可能被告知他们的医疗保险不被接受(p=0.03);这是双性恋和女同性恋/男同性恋女性之间唯一调整后差异显著的结果(2.8%和 6.3%,p=0.02)。

结论

仅细分数据的分析会低估总体性少数群体的差异,甚至可能夸大特定亚组之间的差异;综合方法可以更准确地描述所有 SMW 所经历的差异,而不是特定于某些亚组的差异。大型国家调查应包括性取向问题,以支持足够有力的比较。

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