Turner M Osler

Biographic Data

ID5537281
NAMETurner M Osler
GIVEN NAMESTurner M
FAMILY NAMEOsler
SIGNATUREOSLER T M
AFFILIATIONSAt the time of this study, Dana B. Mukamel was with the Health Policy Research Institute, University of California, Irvine; Laurent G. Glance was with the University of Rochester School of Medicine and Dentistry, Rochester, NY; Andrew W. Dick was with the RAND Corporation, Pittsburgh, PA; and Turner M. Osler was with the Department of Surgery, University of Vermont, Burlington.
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS2
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2010
H-INDEX1

  • Measuring Quality for Public Reporting of Health Provider Quality

    Dana B Mukamel, Laurent G Glance et al.ARTICLEAmerican Journal of Public Health2010Cited by: 2References: 26

    Public quality reports of hospitals, health plans, and physicians are being used to promote efficiency and quality in the health care system. Shrinkage estimators have been proposed as superior measures of quality to be used in these reports because they offer more conservative and stable quality ranking of providers than traditional, nonshrinkage estimators. Adopting the perspective of a patient faced with choosing a local provider on the basis …

  • How Well Do Hospital Mortality Rates Reported in the New York State Cabg Report Card Predict Subsequent Hospital Performance

    Laurent G Glance, Andrew W Dick et al.ARTICLEMedical Care2010References: 18

    BACKGROUND: The use of mortality report cards as the basis for hospital choice assumes that a hospital's current performance is predicted by its past performance. OBJECTIVE: To assess the accuracy of hospital risk-adjusted mortality rates reported in the New York State (NYS) coronary artery bypass graft (CABG) report card for predicting subsequent hospital mortality. METHODS: We performed a retrospective study based on hospital mortality measures…

  • Impact of the Present-on-Admission Indicator on Hospital Quality Measurement

    Laurent G Glance, Turner M Osler et al.ARTICLEMedical Care2008References: 22

    BACKGROUND: The Agency for Healthcare Research and Quality (AHRQ) has constructed Inpatient Quality Indicator (IQI) mortality measures to measure hospital quality using routinely available administrative data. With the exception of California, New York State, and Wisconsin, administrative data do not include a present-on-admission (POA) indicator to distinguish between preexisting conditions and complications. The extent to which the lack of a PO…

  • Use of a Matching Algorithm to Evaluate Hospital Coronary Artery Bypass Grafting Performance as an Alternative to Conventional Risk Adjustment

    Laurent G Glance, Turner M Osler et al.ARTICLEMedical Care2007References: 31

    BACKGROUND: Although public reporting of hospital and physician performance is a cornerstone of the effort to improve health care quality, the optimal approach to risk adjustment is unknown. OBJECTIVE: We sought to assess hospital quality using a matching algorithm based on a generalized distance metric and to compare this approach to the more traditional regression-based approach. DESIGN/ DATA SOURCE: This was a retrospective study using the New…

  • Impact of Changing the Statistical Methodology on Hospital and Surgeon Ranking

    Laurent G Glance, Andrew W Dick et al.ARTICLEMedical Care2006References: 31

    BACKGROUND: Risk adjustment is central to the generation of health outcome report cards. It is unclear, however, whether risk adjustment should be based on standard logistic regression, fixed-effects or random-effects modeling. OBJECTIVE: The objective of this study was to determine how robust the New York State (NYS) Coronary Artery Bypass Graft (CABG) Surgery Report Card is to changes in the underlying statistical methodology. METHODS: Retrospe…