Faculty Bibliography

BACKGROUND: Hospitalists are key providers of care to medical inpatients, and sign-out is an integral part of providing safe, high-quality inpatient care. There is little known about hospitalist-to-hospitalist sign-out. OBJECTIVE: To evaluate the quality of hospitalist/physician-extender sign-outs by assessing how well the sign-out prepares the night team for overnight events and to determine attributes of effective sign-out. DESIGN: Analysis of a written-only sign-out protocol on a nonteaching hospitalist service using prospective data collected by an attending physician survey during overnight shifts. SETTING: Yale-New Haven Hospital, a 966-bed, urban, academic medical center in New Haven, Connecticut with approximately 13,700 hospitalist discharges annually. RESULTS: We recorded 124 inquiries about 96 patients during 6 days of data collection in 2012. Hospitalists referenced the sign-out for 89 (74%) inquiries, and the sign-out was considered sufficient in isolation to respond to 27 (30%) of these inquiries. Hospitalists physically saw the patient for 14 (12%) of inquiries. Nurses were the originator for most inquiries (102 [82%]). The most common inquiry topics were medications (55 [45%]), plan of care (26 [21%]), and clinical changes (26 [21%]). Ninety-five (77%) inquiries were considered to be "somewhat" or "very" clinically important by the hospitalist. CONCLUSIONS: Overall, we found that attending hospitalists rely heavily on written sign-out to address overnight inquiries, but that those sign-outs are not reliably effective. Future work to better understand the roles of written and verbal components in sign-out is needed to help improve the safety of overnight care.

OBJECTIVES: To determine whether high performing hospitals with low 30 day risk standardized readmission rates have a lower proportion of readmissions from specific diagnoses and time periods after admission or instead have a similar distribution of readmission diagnoses and timing to lower performing institutions. DESIGN: Retrospective cohort study. SETTING: Medicare beneficiaries in the United States. PARTICIPANTS: Patients aged 65 and older who were readmitted within 30 days after hospital admission for heart failure, acute myocardial infarction, or pneumonia in 2007-09. MAIN OUTCOME MEASURES: Readmission diagnoses were classified with a modified version of the Centers for Medicare and Medicaid Services' condition categories, and readmission timing was classified by day (0-30) after hospital discharge. Hospital 30 day risk standardized readmission rates over the three years of study were calculated with public reporting methods of the US federal government, and hospitals were categorized with bootstrap analysis as having high, average, or low readmission performance for each index condition. High and low performing hospitals had >/= 95% probability of having an interval estimate respectively less than or greater than the national 30 day readmission rate over the three year period of study. All remaining hospitals were considered average performers. RESULTS: For readmissions in the 30 days after the index admission, there were 320,003 after 1,291,211 admissions for heart failure (4041 hospitals), 102,536 after 517,827 admissions for acute myocardial infarction (2378 hospitals), and 208,438 after 1,135,932 admissions for pneumonia (4283 hospitals). The distribution of readmissions by diagnosis was similar across categories of hospital performance for all three conditions. High performing hospitals had fewer readmissions for all common diagnoses. Median time to readmission was similar by hospital performance for heart failure and acute myocardial infarction, though was 1.4 days longer among high versus low performing hospitals for pneumonia (P<0.001). Findings were unchanged after adjustment for other hospital characteristics potentially associated with readmission patterns. CONCLUSIONS: High performing hospitals have proportionately fewer 30 day readmissions without differences in readmission diagnoses and timing, suggesting the possible benefit of strategies that lower risk of readmission globally rather than for specific diagnoses or time periods after hospital stay.