A Web-Based Staffing and Quality Simulation Tool to Improve Nursing Home Care


A nursing home resident's experience depends, in large measure, on the facility's staff. Certain staffing characteristics in particular have been shown to affect overall quality: staffing levels, turnover and long-term retention, and use of agency staff. Drawing from several large data sets, a research team from the University of Pittsburgh and RAND will examine how quality of nursing home care changes as different aspects of staffing are altered, either singly or in combination. From these results, the team will then create and test the usefulness of a set of tables and a Web-based simulation tool that will allow nursing home administrators to see how manipulating different staffing characteristics affects quality measures. The investigators will present their findings to providers through trade association conferences, industry newsletters, and the Web sites of the Nursing Home Quality Campaign and the Pioneer Network.

Grant Details

Grantee Organization:
University of Pittsburgh
Principal Investigator:
Nicholas Castle, Ph.D.
Award Amount:
Approval Date:
April 15, 2008

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