Evaluating change: a simple technique for determining the statistical significance of proportional criteria.
A simple method to calculate statistically significant differences between proportions is presented to evaluate changes in quality assessment and utilization data. The authors believe that this calculation could be a valuable analytic method for evaluating changes in monitored criteria, particularly in the assessment of criteria measuring high-volume events.
Mood Disorders Research Programs, University of Louisville, KY.
R S
RS
el-Mallakh
R
R
Cowdry
I E
IE
Pettigrew
D003627:Data Interpretation, Statistical; D003951:Diagnostic Errors; D004496:Education, Continuing; D006302:Health Services Research / Q000379:methods*; D007755:Laboratories, Hospital / Q000592:standards* / Q000706:statistics & numerical data; D011785:Quality Assurance, Health Care / Q000706:statistics & numerical data*; D014481:United States