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确定安大略省的法语人口:验证健康数据中的语言变量
Ricardo Batista1,2,3,4, Amy T Hsu5,6,7, Louise Bouchard8,9
1Institut du Savoir Montfort, Ottawa, ON, Canada. rbatista@ohri.ca.
BMC medical research methodology
|April 27, 2024
概括
安大略省的行政卫生数据库显示,在家庭护理和长期护理 (LTC) 环境中,家庭使用语言 (LOSH) 达成良好协议. 这项研究有助于评估语言数据的准确性,用于研究语言少数群体的健康不平等.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 语言障碍对医疗保健的获取和结果产生重大影响.
- 准确的语言数据对于识别和解决语言少数群体健康差异至关重要.
- 加拿大行政卫生数据库中语言变量的有效性在很大程度上仍未得到检查.
研究的目的:
- 评估安大略省行政卫生数据库 (家庭护理,长期护理,心理健康) 和加拿大社区健康调查 (CCHS) 中的语言变量之间的一致性.
- 确定行政数据的可靠性,以识别安大略省的法语人口.
主要方法:
- 将加拿大社区健康调查 (CCHS) 数据 (2000-2012) 与安大略省行政卫生数据库 (家庭护理,长期护理,心理健康) 连接起来,对27,111名受访者进行了调查.
- 家庭使用的语言 (LOSH) 和首个官方语言 (FOLS) 来自CCHS作为参考标准.
- 计算了科恩卡帕,灵敏度,特异性,正预测值 (PPV) 和负预测值 (NPV) 来衡量一致性.
主要成果:
- 在家庭护理和长期护理数据库中的语言变量与LOSH (分别kappa=0.76和0.75) 和FOLS (kappa=0.66) 的一致性最高.
- 使用LOSH作为参考 (75.5%用于家庭护理,74.2%用于LTC) 的灵敏度更高.
- 心理健康入院的语言变量与CCHS数据的一致性较差.
结论:
- 在家庭护理和长期护理行政数据库中的语言数据与在家使用的语言在很大程度上一致.
- 研究人员可以利用报告的灵敏度和特异性来估计使用行政健康数据的研究中的误判错误和潜在偏差.
- 研究结果支持使用这些变量来分析健康不平等,并考虑潜在的偏见.
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