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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