Table 5.

Comparison of explained variance for three regression analyses exploring demographic, social, and medical factors associated with high utilizer patient status and mortality

Model	Variables	R square	Added variance
Adjusted multivariate, all disease categories
A	Demographic	0.042	__
B	Demographic, Payer	0.146	0.104
C	Demographic, Payer, Social Characteristics	0.185	0.039
D	Demographic, Payer, Social Characteristics, Habits	0.215	0.03
E	Demographic, Payer, Social Characteristics, Habits, All Diagnoses	0.443	0.228
Adjusted multivariate model, chronic disease
A	Demographic	0.042	__
B	Demographic, Payer	0.146	0.104
C	Demographic, Payer, Social Characteristics	0.185	0.039
D	Demographic, Payer, Social Characteristics, Habits	0.215	0.03
E	Demographic, Payer, Social Characteristics, Habits, Chronic Diagnosis	0.257	0.042
Adjusted multivariate model, multiple chronic conditions
A	Demographic	0.042	__
B	Demographic, Payer	0.146	0.104
C	Demographic, Payer, Social Characteristics	0.185	0.039
D	Demographic, Payer, Social Characteristics, Habits	0.215	0.03
E	Demographic, Payer, Social Characteristics, Habits, Multiple chronic conditions diagnosis	0.285	0.07

Demographic variables: Race, Income

Payer variables: Medicaid, Medicare, Medicaid/Medicare, Private Insurance, Self/None

Social variables: Homelessness, Incarceration

Habit variables: Alcohol use, substance use, tobacco use