Leikauf John, Federman Alex D
Mount Sinai School of Medicine, New York, New York 10029, USA.
J Am Geriatr Soc. 2009 Jul;57(7):1219-25. doi: 10.1111/j.1532-5415.2009.02313.x. Epub 2009 May 21.
To examine agreement between self-report of chronic disease and medical record data for inner-city seniors, their sensitivity and specificity, and the association between patient characteristics and accuracy of self-reports.
Cross-sectional analysis.
Two hospital-based primary care practices serving a low-income inner-city population.
Adults aged 65 and older (n=323).
Data on self-reported asthma, depression, diabetes mellitus, and hypertension were collected through interviewer-administered surveys (in English and Spanish) and chart abstraction. Chart-based disease was defined in two ways: physician documentation and physician documentation plus use of a medication to treat that condition. Sensitivity, specificity, and agreement were calculated. Univariate and multivariable regression analyses were used to determine the associations between patient characteristics and patient-chart agreement.
Agreement between self-report and chart data was high for diabetes mellitus (kappa=0.94) intermediate for asthma (kappa=0.66), and hypertension (kappa=0.54) and low for depression (kappa=0.4). Sensitivity and specificity were high for diabetes mellitus (0.99 and 0.96, respectively) and low for depression (0.74 and 0.72, respectively). Specificity for hypertension was lowest (0.67). Age, education, health literacy, and other patient characteristics did not have clear associations across conditions.
Self-reports may be most reliable for diabetes mellitus and least reliable for depression for surveys involving older, inner-city adults. Survey research with older adults should include confirmatory data when assessing presence of depression, hypertension, and asthma.
研究城市中心区老年人慢性病自我报告与病历数据之间的一致性、敏感性和特异性,以及患者特征与自我报告准确性之间的关联。
横断面分析。
为低收入城市中心区人群服务的两家医院基层医疗诊所。
65岁及以上成年人(n = 323)。
通过访员实施的调查(英语和西班牙语)和病历摘要收集自我报告的哮喘、抑郁症、糖尿病和高血压数据。基于病历的疾病以两种方式定义:医生记录以及医生记录加上使用治疗该疾病的药物。计算敏感性、特异性和一致性。采用单变量和多变量回归分析来确定患者特征与患者病历一致性之间的关联。
糖尿病自我报告与病历数据之间的一致性较高(kappa = 0.94),哮喘(kappa = 0.66)和高血压(kappa = 0.54)的一致性中等,抑郁症的一致性较低(kappa = 0.4)。糖尿病的敏感性和特异性较高(分别为0.99和0.96),抑郁症较低(分别为0.74和0.72)。高血压的特异性最低(0.67)。年龄、教育程度、健康素养和其他患者特征在不同疾病中没有明显关联。
在涉及城市中心区老年人的调查中,自我报告对于糖尿病可能最可靠,对于抑郁症最不可靠。在评估老年人抑郁症、高血压和哮喘的存在时,对老年人的调查研究应包括验证性数据。