Classifying nursing home patients; the impact of mid-week data collection on variance reduction.
This study analyzes the variance reduction capabilities of three existing nursing home patient classification systems across different shifts and sub-week time periods. The existing classification systems, all based on nursing time data collected in the middle of the working week, performed well with data collected at night and on weekends. Existing nursing home patient classification systems are robust for time periods other than those during which nursing times have usually been collected.
D000203:Activities of Daily Living; D000704:Analysis of Variance; D003625:Data Collection / Q000379:methods; D003953:Diagnosis-Related Groups / Q000379:methods*; D007297:Inpatients / Q000145:classification*; D008134:Long-Term Care / Q000145:classification*; D009735:Nursing Homes; D010361:Patients / Q000145:classification*; D013997:Time Factors; D014481:United States; D014493:United States Department of Veterans Affairs