PHP40 Hospital Spending and Inpatient Mortality
نویسندگان
چکیده
منابع مشابه
Hospital Staffing and Inpatient Mortality
Staff-to-patient ratios are a current policy concern in hospitals nationwide. Legislators in California and New York have imposed staffing requirements on hospitals that are estimated to cost hundreds of millions of dollars per year. These reforms were motivated by the presumption of a causal link between lower hospital staffing levels and adverse patient outcomes. However, the cited empirical ...
متن کاملNurse Staffing and Inpatient Hospital Mortality
From the Department of Health Services, University of California, Los Angeles, School of Public Health, Los Angeles ( J.N.); Vanderbilt University, Nashville (P.B.); Mayo Clinic Department of Health Sciences Research, Rochester, MN (V.S.P., C.L.L., M.H.); and Duke Clinical Research Institute, Duke University Medical Center, Durham, NC (S.R.S.). Address reprint requests to Dr. Harris at the Mayo...
متن کاملNurse staffing and inpatient hospital mortality.
BACKGROUND Cross-sectional studies of hospital-level administrative data have shown an association between lower levels of staffing of registered nurses (RNs) and increased patient mortality. However, such studies have been criticized because they have not shown a direct link between the level of staffing and individual patient experiences and have not included sufficient statistical controls. ...
متن کاملInpatient Mortality Following Repair of Abdominal Aortic Aneurysm in a Tertiary Hospital in Tehran
This study was conducted to monitor the rate of inpatient mortality and its associated factors following open reconstruction of abdominal aortic aneurysm (AAA) in a tertiary hospital in Tehran, Iran. This retrospective study was a chart review of 112 patients undergoing open in­frarenal abdominal aortic aneurysm surgery in one of the main tertiary hospitals in Tehran, Iran. Baseline data (d...
متن کاملRisk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases.
OBJECTIVES To develop a risk-adjustment methodology that maximizes the use of automated physiology and diagnosis data from the time period preceding hospitalization. DESIGN : Retrospective cohort study using split-validation and logistic regression. SETTING Seventeen hospitals in a large integrated health care delivery system. SUBJECTS Patients (n = 259,699) hospitalized between January 2...
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ژورنال
عنوان ژورنال: Value in Health
سال: 2012
ISSN: 1098-3015
DOI: 10.1016/j.jval.2012.03.116