Case-mix and resource use in long-term care.
This study developed a case-mix patient classification system for long-term care. Patient assessment and resource consumption data, collected for 1.151 patients within 23 hospital-based and freestanding long-term care facilities in California, were used to develop a patient classification system made up of 13 homogeneous patient groups. The 13 groups, formed on the basis of nine patient assessment variables, explained 68.5% of the overall variance in resource use. The relatively high variance reduction achieved in the creation of a limited number of groups demonstrates the feasibility of developing measures of case mix based on patient resource use for long-term care. Case-mix classification may provide a useful tool for long-term care reimbursement reform.
D000203:Activities of Daily Living; D002140:California; D003365:Costs and Cost Analysis; D003697:Delphi Technique; D003953:Diagnosis-Related Groups; D004471:Economics, Nursing; D004750:Enteral Nutrition / Q000191:economics; D006295:Health Resources / Q000706:statistics & numerical data*; D006801:Humans; D007380:Intermediate Care Facilities / Q000706:statistics & numerical data; D008134:Long-Term Care / Q000145:classification*; D009422:Nervous System Diseases / Q000191:economics; D009732:Nursing Care; D010361:Patients / Q000145:classification; D003668:Pressure Ulcer / Q000191:economics; D012866:Skilled Nursing Facilities / Q000706:statistics & numerical data; D014546:Urinary Catheterization / Q000191:economics; D014549:Urinary Incontinence / Q000191:economics