Johnson R E, Hornbrook M C, Nichols G A
Center for Health Research, Kaiser Permanente Northwest Region, Portland, OR 97227-1098, USA.
J Clin Epidemiol. 1994 Oct;47(10):1191-9. doi: 10.1016/0895-4356(94)90106-6.
Michael Von Korff and colleagues at the Center for Health Studies, Group Health Cooperative (GHC) of Puget Sound created a measure of chronic disease status (CDS) using automated outpatient pharmacy data. They reported the measure appeared to provide a stable and valid measure of health status. The availability of such a measure could become a new tool for a variety of applications, including screening, resource allocation, and quality assurance. The measure was replicated for its reliability and construct and predictive validity in the KPNW membership using automated pharmacy data. Reliability and validity were tested using correlation and regression techniques. The CDS showed test-retest reliability over time. It showed construct validity with the RAND-36 instrument and the BSI-8 depression screener. It showed predictive validity with health care visits and hospitalizations. The results were similar to those at GHC. The findings indicated that the CDS can serve, with certain precautions, as a readily accessible low cost measure of health status.
普吉特海湾地区健康合作组织（GHC）健康研究中心的迈克尔·冯·科夫及其同事利用自动化门诊药房数据创建了一种慢性病状况（CDS）测量方法。他们报告称，该测量方法似乎能提供一种稳定且有效的健康状况衡量标准。这种测量方法的可用性可能成为用于多种应用的新工具，包括筛查、资源分配和质量保证。利用自动化药房数据，在KPNW会员中对该测量方法的可靠性、结构效度和预测效度进行了复制研究。使用相关性和回归技术对可靠性和效度进行了测试。CDS随时间显示出重测信度。它与兰德36项健康调查量表和BSI - 8抑郁筛查量表显示出结构效度。它与医疗就诊和住院情况显示出预测效度。结果与GHC的结果相似。研究结果表明，在采取某些预防措施的情况下，CDS可作为一种易于获取的低成本健康状况测量方法。
