L.A. Lehner and J.F. Second, we used multiple linear regression and logistic regression analyses to estimate the difference in the main outcome measures of the 2 medical services, adjusted for age, sex, insurance classification, number of comorbidities, and primary DRGs. R. Lee and J. Hadley, Thedemand for residents, Journal of Health Economics 4 (1985) 357–371. The chi‐square test was used to compare readmission rate, in‐hospital mortality, and number of services ordered. Crude comparison of other main outcome measures showed that the LOS (4.92 vs. 5.10 days; P = .43), odds of readmission within 30 days (202/1637 vs. 57/552; P = .21), and odds of in‐hospital mortality (61/1637 vs. 25/552; P = .40) were comparable for teaching and nonteaching services (Tables 2 and 3). Although both teaching and nonteaching services were sometimes headed by attendings who participated in both models, teaching services differed notably in being run by resident team leaders with attendings performing a largely supervisory role.We recognize several limitations of our study. Comparison between a city university hospital and a county hospital, Breast cancer survival by teaching status of the initial treating hospital, Relationship of hospital teaching status with quality of care and mortality for Medicare patients with acute MI, Outcome of acute myocardial infarction according to the specialty of the admitting physician, Quality of care at teaching and non‐teaching hospitals, Severity‐adjusted mortality and length of stay in teaching and non‐teaching hospitals, Effects of admission to a teaching hospital and the cost and quality of care for Medicare beneficiaries, Effects of physician experience on costs and outcomes on an academic general medicine service: Results of a trial of hospitalists, Implementation of a voluntary hospitalist service at a community teaching hospital: Improved clinical efficiency and patient outcomes, Hospital characteristics and quality of care, The central role of the propensity score in observational studies for causal effects, Choosing Wisely: Things We Do For No Reason, Mean number of comorbidities per patient SD. © 2020 Springer Nature Switzerland AG. Yeah, I taught the USGIV class at my previous facility, but apparently starting a regular IV on a patient with an INR of 9 that the intern refused to line despite the fact they needed access gets me in trouble.
Doctor and hospital bills are routinely rife with errors and inaccuracies – costing you precious money. No Indication of 'July Effect' in Context of Cardiac Surgery; No variation in in-hospital mortality by procedure month, academic year quartile for cardiac procedures. There's trust and understanding of rationale. The nonteaching service generally had no interns or residents but occasionally had a third‐ or fourth‐year medical student on rotation.
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Doctor and hospital bills are routinely rife with errors and inaccuracies – costing you precious money. No Indication of 'July Effect' in Context of Cardiac Surgery; No variation in in-hospital mortality by procedure month, academic year quartile for cardiac procedures. There's trust and understanding of rationale. The nonteaching service generally had no interns or residents but occasionally had a third‐ or fourth‐year medical student on rotation.
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