OBJECTIVES: 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. DESIGN: Cross-sectional analysis. SETTING: Two hospital-based primary care practices serving a low-income inner-city population. PARTICIPANTS: Adults aged 65 and older (n=323). MEASURES: 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. RESULTS: 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. CONCLUSION: 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.
OBJECTIVES: 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. DESIGN: Cross-sectional analysis. SETTING: Two hospital-based primary care practices serving a low-income inner-city population. PARTICIPANTS: Adults aged 65 and older (n=323). MEASURES: 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. RESULTS: 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. CONCLUSION: 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.
Authors: John Cairney; Laurie M Corna; Scott Veldhuizen; Nathan Herrmann; David L Streiner Journal: Am J Geriatr Psychiatry Date: 2008-03 Impact factor: 4.105
Authors: A Feinberg; P M Lopez; K Wyka; N Islam; L Seidl; E Drackett; A Mata; J Pinzon; M R Baker; J Lopez; C Trinh-Shevrin; D Shelley; Z Bailey; K A Maybank; L E Thorpe Journal: J Urban Health Date: 2017-08 Impact factor: 3.671
Authors: Renata Tiene de Carvalho Yokota; Lenildo de Moura; Silvânia Suely Caribé de Araújo Andrade; Naíza Nayla Bandeira de Sá; Wilma Johanna Nusselder; Herman Van Oyen Journal: Int J Public Health Date: 2016-06-23 Impact factor: 3.380