title: Nursing home case-mix reimbursement in Mississippi and South Dakota.
abstract: OBJECTIVE
  To evaluate the effects of nursing home case-mix reimbursement on facility case mix and costs in Mississippi and South Dakota.
  
  
  METHODS
  Secondary data from resident assessments and Medicaid cost reports from 154 Mississippi and 107 South Dakota nursing facilities in 1992 and 1994, before and after implementation of new case-mix reimbursement systems.
  
  
  METHODS
  The study relied on a two-wave panel design to examine case mix (resident acuity) and direct care costs in 1-year periods before and after implementation of a nursing home case-mix reimbursement system. Cross-lagged regression models were used to assess change in case mix and costs between periods while taking into account facility characteristics.
  
  
  METHODS
  Facility-level measures were constructed from Medicaid cost reports and Minimum Data Set-Plus assessment records supplied by each state. Resident case mix was based on the RUG-III classification system.
  
  
  RESULTS
  Facility case-mix scores and direct care costs increased significantly between periods in both states. Changes in facility costs and case mix were significantly related in a positive direction. Medicare utilization and the rate of hospitalizations from the nursing facility also increased significantly between periods, particularly in Mississippi.
  
  
  CONCLUSIONS
  The case-mix reimbursement systems appeared to achieve their intended goals: improved access for heavy-care residents and increased direct care expenditures in facilities with higher acuity residents. However, increases in Medicare utilization may have influenced facility case mix or costs, and some facilities may have been unprepared to care for higher acuity residents, as indicated by increased rates of hospitalization.
authors.affiliation: Cookingham Institute, Bloch School of Business and Public Administration, University of Missouri at Kansas City, 64110, USA.
authors.forename: Greg
authors.initials: G
authors.lastname: Arling
authors.forename: Barry
authors.initials: B
authors.lastname: Daneman
mesh_terms: D003953:Diagnosis-Related Groups / Q000191:economics*; D017048:Health Care Costs; D005102:Health Expenditures / Q000639:trends*; D006297:Health Services Accessibility / Q000191:economics; D006760:Hospitalization / Q000191:economics; D006801:Humans; D008134:Long-Term Care / Q000145:classification* / Q000191:economics; D008484:Medicaid / Q000706:statistics & numerical data; D006278:Medicare / Q000706:statistics & numerical data; D008922:Mississippi; D009735:Nursing Homes / Q000191:economics* / Q000592:standards / Q000706:statistics & numerical data; D012052:Reimbursement, Incentive; D013023:South Dakota; D013223:Statistics as Topic