Physicians readily recalled multiple cases of diagnostic errors and were willing to share their experiences. Using a new taxonomy tool and aggregating cases by diagnosis and error type revealed patterns of diagnostic failures that suggested areas for improvement. Systematic solicitation and analysis of such errors can identify potential preventive strategies.
Our recent survey of an elderly cohort in mainland China suggests that elder abuse and neglect are common. Unfortunately, there is minimal knowledge about the risk factors for elder abuse and neglect among this population. We aimed to examine depression as a risk factor for elder abuse and neglect among Chinese elderly. A cross-sectional study was performed in a major urban medical center in NanJing, China. Depression was assessed using the Geriatric Depression Scale and direct questions were asked regarding abuse and neglect experienced by the elderly since the age of 60; 412 patients completed the survey. The mean age of the participants was 70 and 34% were female. Depression was found in 12% of the participants and elder abuse and neglect was found in 35% of the participants. After multiple logistical regression, feeling of dissatisfaction with life (OR, 2.92; 95% CI, 1.51-5.68, p < 0.001), often being bored (OR, 2.91; CI, 1.53-5.55, p < 0.001), often feeling helpless (OR, 2.79; CI, 1.35-5.76, p < 0.001), and feeling worthless (OR, 2.16; CI, 1.10-4.22, p < 0.001) were associated with increased risk of elder abuse and neglect. Multiple logistic regression modeling showed that depression is independently associated with elder abuse and neglect (OR, 3.26; CI, 1.49-7.10, p < 0.003). These findings suggest that depression is a significant risk factor associated with elder abuse and neglect among Chinese elderly.
accuracy of predicting clinical outcomes, such as inpatient mortality. Other POA information may also explain variation in hospital outcomes, such as length of stay (LOS), but this potential has not been previously explored.
OBJECTIVES:To assess whether a discrepancy between the diagnosis coded at the time of admission and the diagnoses coded at discharge independently explains variation in LOS for general internal medicine patients.
DESIGN, SETTING, AND PATIENTS:A retrospective data review of patients age 18 years and older admitted to general internal medicine units at a large, urban academic medical center between July 2005 and June 2006. A generalized linear regression model was constructed to adjust for patient factors known to be associated with LOS.
Supplemental Digital Content is Available in the Text.A patient's experience of pain for the first 48 hours of an admission can be visualized with graphical pain score trajectories, providing clinically useful information.
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