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使用行政数据验证跨性别成年人的病例定义。

Validating a Case Definition for Transgender Adults Using Administrative Data.

作者信息

Rytz Chantal L, King James A, Saad Nathalie, Ronksley Paul E, Somayaji Ranjani, Raj Satish R, Dumanski Sandra M, Newbert Amelia M, Peace Lindsay D, Ahmed Sofia B

机构信息

Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada.

出版信息

JAMA Netw Open. 2025 Jan 2;8(1):e2451700. doi: 10.1001/jamanetworkopen.2024.51700.

Abstract

IMPORTANCE

Administrative health data serve as promising data sources to study transgender health at a population level in the absence of self-reported gender identity.

OBJECTIVE

To develop and validate case definitions identifying transgender adults in administrative data compared with the reference standard of self-reported gender identity in a universal health care setting.

DESIGN, SETTING, AND PARTICIPANTS: In this cohort study conducted in Alberta, Canada, data from provincial administrative health data sources including inpatient hospitalizations, emergency department encounters, primary care visits, prescription drug dispensations, and the provincial health insurance registry were linked and used to develop 15 case definitions (9 for transgender women and 6 for transgender men). Participants aged 18 years or older with a provincial health care number between April 1, 1994, and March 31, 2021, were included and stratified by sex marker (eg, female or male) at study entry. Data analysis was from December 2023 to March 2024.

MAIN OUTCOMES AND MEASURES

For each case definition, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated against the reference standard of self-reported gender identity.

RESULTS

In this cohort study of 5 375 735 individuals, the reference standard consisted of 141 self-identified transgender women, 174 self-identified transgender men, 111 self-identified cisgender women, and 65 self-identified cisgender men. The final cohort representing transgender women participants who met at least 1 case definition and/or were part of the standard reference totaled 63 977. Combining a case definition employing male sex registry identification and 2 or more dispensations of estrogen or a case definition employing male sex registry identification and at least 1 gender-related diagnostic code demonstrated a sensitivity of 86.6% (95% CI, 79.9%-91.7%), specificity of 62.5% (95% CI, 51.5%-72.6%), PPV of 78.8% (95% CI, 71.6%-85.0%), and NPV of 74.3% (95% CI, 62.8%-83.8%). The final cohort representing transgender men participants who met at least 1 case definition and/or were part of the standard reference totaled 26 852. Combining a case definition employing female sex registry identification and 2 or more dispensations of testosterone or a case definition employing female sex registry identification and at least 1 gender-related diagnostic code demonstrated a sensitivity of 78.2% (95% CI, 71.3%-84.1%), specificity of 89.2% (95% CI, 82.2%-94.1%), PPV of 91.3% (95% CI, 85.5%-95.3%), and NPV of 73.8% (95% CI, 65.8%-80.7%).

CONCLUSION AND RELEVANCE

These findings suggest that case definitions using transgender-related diagnostic codes and gender-affirming hormone prescriptions can be used to study the epidemiology, disease burden, and health care utilization of transgender populations.

摘要

重要性

在缺乏自我报告性别认同的情况下,行政健康数据是在人群层面研究跨性别者健康状况的有前景的数据来源。

目的

在全民医疗保健环境中,制定并验证与自我报告性别认同这一参考标准相比,能在行政数据中识别跨性别成年人的病例定义。

设计、背景和参与者:在加拿大艾伯塔省进行的这项队列研究中,来自省级行政健康数据源的数据被关联起来,这些数据源包括住院治疗、急诊科就诊、初级保健就诊、处方药配给以及省级健康保险登记,用于制定15种病例定义(9种针对跨性别女性,6种针对跨性别男性)。纳入了1994年4月1日至2021年3月31日期间年龄在18岁及以上且拥有省级医疗保健编号的参与者,并在研究开始时按性别标记(如女性或男性)进行分层。数据分析时间为2023年12月至2024年3月。

主要结局和指标

针对每种病例定义,根据自我报告性别认同这一参考标准计算敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。

结果

在这项对5375735人的队列研究中,参考标准包括141名自我认定的跨性别女性、174名自我认定的跨性别男性、111名自我认定的顺性别女性和65名自我认定的顺性别男性。最终符合至少1种病例定义和/或属于标准参考范围的跨性别女性参与者队列总计63977人。将采用男性性别登记识别以及2次或更多次雌激素配给的病例定义,或采用男性性别登记识别以及至少1个性别相关诊断代码的病例定义相结合,敏感性为86.6%(95%CI,79.9%-91.7%),特异性为62.5%(95%CI,51.5%-72.6%),PPV为78.8%(95%CI,71.6%-85.0%),NPV为74.3%(95%CI,62.8%-83.8%)。最终符合至少1种病例定义和/或属于标准参考范围的跨性别男性参与者队列总计26852人。将采用女性性别登记识别以及2次或更多次睾酮配给的病例定义,或采用女性性别登记识别以及至少1个性别相关诊断代码的病例定义相结合,敏感性为78.2%(95%CI,71.3%-84.1%),特异性为89.2%(95%CI,82.2%-94.1%),PPV为91.3%(95%CI,85.5%-95.3%),NPV为73.8%(95%CI,65.8%-80.7%)。

结论及意义

这些发现表明,使用与跨性别相关的诊断代码和性别确认激素处方的病例定义可用于研究跨性别群体的流行病学、疾病负担和医疗保健利用情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b2/11699535/6006b45219ff/jamanetwopen-e2451700-g001.jpg

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