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Table 4 Evaluation of the standardized Mean difference for the outcome of proper ICD billing broken down by sex, ethnicity, Financial Group, and Age. Using the standardized Mean difference (SMD), table 5 demonstrates differences in sex, ethnicity, payor, and age in the cohorts for admissions with accurate ICD coding and those with unbilled ICD codes. All the SMD values were in the low difference group indicating that there are unlikely any disparities. Additionally, setting reference categories (caucasian, middle-aged, private patients) direct comparisons were done with resulting P values. This data includes all ICD codes in the EMR without restricting to payor maximums

From: A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-Related Group (DRG) code modifiers

 

Accurate ICD Coding (24,621)

Unbilled ICD Coding (10,361) 29.6%

SMD

p-value

Sex

  

0.168

< 0.001

 Male

10,739 (43.6%)

5385 (52.0%)

  

 Female

13,882 (56.4%)

4976 (48.0%)

  

Race / Ethnicity

  

0.085

< 0.001

 Asian/Pacific Islander

2406 (9.8%)

1004 (9.7%)

 

0.112

 Black

2319 (9.5%)

1099 (10.7%)

 

< 0.001

 Caucasian-Hispanic

1824 (7.4%)

847 (8.2%)

 

< 0.001

 Caucasian-Non-Hispanic

12,824 (52.3%)

5041 (48.9%)

 

REF

 Other-Hispanic

3095 (12.6%)

1496 (14.5%)

 

< 0.001

 Other-Non-Hispanic

2057 (8.4%)

831 (8.1%)

 

0.52

Payor Group

  

0.243

< 0.001

 Medi-Cal

3329 (13.5%)

1570 (15.2%)

 

< 0.001

 Medicare

8689 (35.3%)

4709 (45.4%)

 

< 0.001

 Private

12,603 (51.2%)

4082 (39.4%)

 

REF

Age Group

  

0.219

< 0.001

 18–35 (young adult)

5703 (24.2%)

1577 (15.9%)

 

< 0.001

 36–64 (middle age)

9945 (42.1%)

4300 (43.5%)

 

REF

 65–78 (aged)

5432 (23.0%)

2816 (28.5%)

 

< 0.001

 79+ (old)

2534 (10.7%)

1199 (12.1%)

 

0.033