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Table 5 Socioeconomic class and high service use: predictive accuracy of alternative morbidity models

From: Assessing socioeconomic health care utilization inequity in Israel: impact of alternative approaches to morbidity adjustment

Adults with Social Security Waiver (vs. all other adults) Above average number of primary care visits Above average number of specialist visits Above average number of diagnostic tests One or more hospitalizations
Model A: Adjusting for age and gender
   Area under the ROC curve 0.74 0.66 0.66 0.67
   AIC 315900 331209 262971 150883
Model B: Adjusting for age, gender and the Charlson Comorbidity Index
   Area under the ROC curve 0.77 0.67 0.67 0.72
   AIC 307183 329009 262267 142501
Model C: Adjusting for age, gender, and morbidity using ADG categories
   Area under the ROC curve 0.85 0.77 0.72 0.86
   AIC 254608 290254 247195 117215
  1. ROC: Receiver Operating Characteristics
  2. ADG: Aggregate Diagnostic Groups (dummy variables, non-mutually exclusive).
  3. AIC: Akaike Information Criteria