Tutorial on risk-adjusted P-charts.
Several books are available that describe how to construct control charts. Unfortunately none of these books show how to adjust control charts for the severity of the patients' illness. Without such adjustments control charts not only loose face validity but could lead to wrong conclusions. In this article we provide a step-by-step guide regarding how to control for changes in patients' severity of illness across time periods. We illustrate the use of the approach in examining falls in nursing homes. A control chart was constructed to compare observed falls to the residents' risk of fall measured on admission. Analysis led to conclusions radically different from an unadjusted chart.
Alemi
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George Mason University, College of Nursing and Health Science, Program in Health System Management, Fairfax, Virginia, USA.
Oliver
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DW
D000058:Accidental Falls / Q000706:statistics & numerical data; D017408:Guidelines as Topic; D006801:Humans; D009735:Nursing Homes / Q000706:statistics & numerical data; D011336:Probability; D011379:Prognosis; D015203:Reproducibility of Results; D020379:Risk Adjustment; D012720:Severity of Illness Index; D013223:Statistics as Topic; D013995:Time; D017749:Total Quality Management; D014481:United States / Q000453:epidemiology