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. 2014 Jan 8:14:4.
doi: 10.1186/1472-6920-14-4.

Is the presence of medical trainees associated with increased mortality with weekend admission?

Rocco Ricciardi  1 , Jason Nelson, Patricia L Roberts, Peter W Marcello, Thomas E Read, David J Schoetz
Affiliations

Is the presence of medical trainees associated with increased mortality with weekend admission?

Rocco Ricciardi et al. BMC Med Educ. .

Abstract

Background: Several studies have demonstrated increased inhospital mortality following weekend admission. We hypothesized that the presence of resident trainees reduces the weekend mortality trends.

Methods: We identified all patients with a non-elective hospital admission from 1/1/2003 through 12/31/2008. We abstracted vital status on discharge and calculated the Charlson comorbidity score for all inpatients. We compared odds of inpatient mortality following non-elective admission on a weekend day as compared to a weekday, while considering diagnosis, patient characteristics, comorbidity, hospital factors, and care at hospitals with resident trainees.

Results: Data were available for 48,253,968 patient discharges during the six-year study period. The relative risk of mortality was 15% higher following weekend admission as compared to weekday admission. After adjusting for diagnosis, age, sex, race, income level, payer, comorbidity, and weekend admission the overall odds of mortality was higher for patients in hospitals with fewer nurses and staff physicians. Mortality following a weekend admission for patients admitted to a hospital with resident trainees was significantly higher (17%) than hospitals with no resident trainees (p < 0.001).

Conclusions: Low staffing levels of nurses and physicians significantly impact mortality on weekends following non-elective admission. Conversely, patients admitted to hospitals with more resident trainees had significantly higher mortality following a weekend admission.

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Figures

Figure 1
Figure 1
The risk of mortality on the weekend as compared to a weekday. Chi-square analysis for significance.
See this image and copyright information in PMC

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