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Background. People with a history of stroke or heart disease are at increased risk of future stroke; therefore, identification of risk factors by GPs is critical. Objectives. To compare the following among general practice patients with and without a history of stroke or heart disease: (i) self-reported prevalence rates of lifestyle risk factors; (ii) accuracy of GP detection of patient-reported risk factors and (iii) average proportion of patient-reported risk factors detected by GPs. Methods. Consecutive patients attending a participating general practice clinic were invited to participate in a cross-sectional touchscreen survey assessing lifestyle risk factors in 2010-11. The GP of each consenting patient completed a corresponding survey assessing the patient's risk factors. Demographic characteristics of patients and GPs were obtained. Results. Data from 51 GPs and 564 patients were analysed. Patients without a history of stroke or heart disease reported significantly higher rates of smoking (12%) and risky alcohol consumption (56%) than patients with a history of stroke or heart disease (6% and 36%, respectively). Low sensitivity of GP detection of risk factors was found for all risk factors for all patients. Patients with a history of stroke or heart disease have a significantly higher mean proportion of risk factors detected by their GP compared to patients without a history of stroke or heart disease (P = 0.00). Conclusion. Given low sensitivity and specificity of GP detection of risk factors among patients, alternate methods of identification are needed. Research is required to determine strategies to facilitate secondary care of patients with a history of stroke or heart disease by GPs. [ABSTRACT FROM AUTHOR]

Background. Meta-analyses indicate 50% of cases of depression are not detected by GPs. It is important to examine patient and GP characteristics associated with misclassification so that systems can be improved to increase accurate detection and optimal management for groups at risk of depression. Objective. To examine patient and GP characteristics associated with GP misclassification of depression for patients classified by the Patient Health Questionnaire-9 as depressed. Methods. A cross-sectional study within general practices in two states of Australia. GPs completed a one-page paper and pencil survey indicating whether they thought each patient was clinically depressed. Patients completed a computer tablet survey while waiting for their appointment to provide demographic information and indicate depression status. Chi-square analyses were used to determine whether patient and GP characteristics were associated with a false-negative and false-positive result. The probability of misclassification was modelled using Generalized Estimating Equations to account for clustering of patients. Results. Fifty GPs from 12 practices participated. GPs completed surveys for 1880 patients. Younger patients aged 25-44, and those with a health care card were less likely to have a false-negative assessment. Patients with 0-3 GP visits in the past 12 months, and those with private health insurance were less likely to have a false-positive assessment. GPs who worked five sessions or fewer per week were more likely to make false-positive assessments. [ABSTRACT FROM AUTHOR]