Journal of general internal medicine
-
Professional interpreter use improves the quality of care for patients with limited English proficiency (LEP), but little is known about interpreter use in the hospital. ⋯ Interpreter use varied by type of clinical contact, but was overall more common with physicians than with nurses. Professional interpreters were rarely used. With physicians, use of ad hoc interpreters such as family or friends was most common; with nurses, patients often reported, "getting by" without an interpreter or barely speaking at all.
-
Individual faculty assessments of resident competency are complicated by inconsistent application of standards, lack of reliability, and the "halo" effect. ⋯ This study demonstrates improved inter-rater reliability and reduced range restriction (halo effect) of resident assessment across multiple performance domains by adding the group assessment method to traditional individual faculty-on-resident assessment. This feasible model could help graduate medical education programs achieve more reliable and discriminating resident assessments.
-
Seniors frequently struggle during the transition home following an acute hospitalization resulting in frequent rehospitalizations. Studies consistently show a lack of comprehension of discharge instructions. ⋯ Low cognition at discharge is common among elderly patients without dementia, and cognition often improves one month post-hospitalization. Seniors may not comprehend discharge instructions, and patient self-management may be better taught as an outpatient following discharge rather than at the time of hospital discharge. Discharge interventions should incorporate screening of seniors for low cognition prior to hospital discharge to provide optimal transitional care.
-
Readmissions cause significant distress to patients and considerable financial costs. Identifying hospitalized patients at high risk for readmission is an important strategy in reducing readmissions. We aimed to evaluate how well physicians, case managers, and nurses can predict whether their older patients will be readmitted and to compare their predictions to a standardized risk tool (Probability of Repeat Admission, or P(ra)). ⋯ This study found (1) overall readmission rates were higher than previously reported, possibly because we employed a more thorough follow-up methodology, and (2) neither providers nor a published algorithm were able to accurately predict which patients were at highest risk of readmission. Amid increasing pressure to reduce readmission rates, hospitals do not have accurate predictive tools to guide their efforts.