Sandra M. Sharp
University of Manitoba
17 Papers
457 Citations
Sandra M. Sharp is an academic researcher from University of Manitoba. The author has contributed to research in topics: Health care & Population. The author has an hindex of 14, co-authored 17 publications. Previous affiliations of Sandra M. Sharp include United States Department of Veterans Affairs.
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Papers
Variation profiles of common surgical procedures
TL;DR: Although the use of many surgical procedures varies widely across geographic areas, rates of "discretionary" procedures are most variable and efforts to increase consensus in clinical decision making should focus on these high variation procedures.
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•Journal Article
Associations among hospital capacity, utilization, and mortality of US Medicare beneficiaries, controlling for sociodemographic factors.
Elliott S. Fisher,John E. Wennberg,Therese A. Stukel,Jonathan Skinner,Sandra M. Sharp,Jean L. Freeman,Alan Gittelsohn +6 more
TL;DR: Residence in areas of greater hospital capacity is associated with substantially increased use of the hospital, even after controlling for socioeconomic characteristics and illness burden, and this increased use provides no detectable mortality benefit.
Outcomes Following Coronary Stenting in the Era of Bare-Metal vs the Era of Drug-Eluting Stents
TL;DR: The widespread adoption of drug-eluting stents into routine practice was associated with a decline in the need for repeat revascularization procedures and had similar 2-year risks for death or ST-elevation myocardial infarction to bare-metal stents.
110
Assessing data quality: a computerized approach
TL;DR: This paper suggests linking physician claims for performing particular surgical procedures with hospital discharge abstracts for the stay in which the surgery took place, appropriate for any situation where two data collection systems relate to the same event, such as a patient's hospitalization.
102
Risk adjustment in claims-based research: The search for efficient approaches
TL;DR: Claims-based indices of comorbidity and severity, as well as other measures derived from routinely collected administrative data, are developed and tested and difficulties in improving risk adjustment by more intensive data collection are discussed.
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