目的:该项目的目的是开发一份南亚(SA)妇女的名字和姓氏清单,可用于在癌症登记处识别SA乳腺癌患者。这份名单是编制的,评估,并经过验证以确保全面性,准确度,和SA名称的适用性。
方法:该项目由加拿大研究人员进行,他们致力于对不列颠哥伦比亚省被诊断患有癌症的SA妇女进行行为研究。由于社会和文化因素,招募SA癌症患者进行研究可能是一项艰巨的任务。其他研究人员用来识别与种族相关的独特名称的方法被用来过滤该种族不常见的姓氏和姓氏。SA种族的合著者(GurpreetOshan)严格识别并删除了多个列表和冗余条目以及常见的英语词义,从而产生了16,888个SA词义。印度种族的所有合著者(GurpreetOshan,SavitriSingh-Carlson,HarajitLail)在整个过程中都参与了批评和手动审查姓名列表。对SA姓氏和妇女姓氏的综合清单进行了审查,以确定SA种族特有的姓氏。通过使用Excel程序不断过滤冗余来确保准确性,该程序有助于说明以不同方式拼写每个名称的次数。
结果:最终列表包括SA种族的9112个姓氏和16,888个姓氏。仅在姓氏链接的基础上,名单的敏感度为76.6%,特异性为62.9%,阳性预测值为58.5%。根据姓氏和姓氏的联系,该列表的特异性为88.6%.这些列表还包括拼写和姓氏的变化。
结论:姓氏和姓氏列表可以成为在医疗保健相关研究中从大型人口数据库中识别SA种族群体的有用工具。种族特异性人群研究对于帮助确定应如何为SA人群提供癌症护理非常重要。以及规划和提供其他相关卫生服务。我们愿意将此列表分享给作者。
OBJECTIVE: The goal of this project was to develop a list of forenames and surnames of South Asian (SA) women that could be used to identify SA breast cancer patients within the cancer registry. This list was compiled, evaluated, and validated to ensure comprehensiveness, accuracy, and applicability of SA names.
METHODS: This project was conducted by Canadian researchers who are immersed in conducting behavioral studies with SA women diagnosed with cancer in the province of British Columbia. Recruiting SA cancer patients for research can be a difficult task due to social and cultural factors. Methods used by other researchers to identify ethnicity related unique names were employed to filter surnames and forenames that were not common to this ethnic group. Co-author (Gurpreet Oshan) of SA ethnicity rigorously identified and deleted multiple lists and redundant entries along with common English forenames which resulted in a list of 16,888 SA forenames. All co-authors of Indian ethnicity (Gurpreet Oshan, Savitri Singh-Carlson, Harajit Lail) were involved in critiquing and manually reviewing the names list throughout this process. Comprehensive lists of SA surnames and women\'s forenames were reviewed to identify those that were unique to SA ethnicity. Accuracy was ensured by constantly filtering the redundancy by using an Excel program which helped to illustrate the number of times each name was spelled in different ways.
RESULTS: The final lists included 9112 surnames and 16,888 forenames of SA ethnicity. On the basis of the surname linkage only, the sensitivity of the list was 76.6%, specificity was 62.9%, and the positive predictive value was 58.5%. On the basis of both the surname and forename linkage, the specificity of the list was 88.6%. These lists include variations in spelling forenames and surnames as well.
CONCLUSIONS: The list of surnames and forenames can be useful tools to identify SA ethnic groups from large population database in healthcare-related research. Ethnicity-specific population research is important in order to help identify how cancer care should be delivered for the SA population, as well as for planning and provision of other related health services. We are willing to share this list upon request to the authors.