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Table 5 Comparison of explained variance for three regression analyses exploring demographic, social, and medical factors associated with high utilizer patient status and mortality

From: Factors associated with high-utilization in a safety net setting

Model

Variables

R square

Added variance

Adjusted multivariate, all disease categories

ā€ƒA

Demographic

0.042

__

ā€ƒB

Demographic, Payer

0.146

0.104

ā€ƒC

Demographic, Payer, Social Characteristics

0.185

0.039

ā€ƒD

Demographic, Payer, Social Characteristics, Habits

0.215

0.03

ā€ƒE

Demographic, Payer, Social Characteristics, Habits, All Diagnoses

0.443

0.228

Adjusted multivariate model, chronic disease

ā€ƒA

Demographic

0.042

__

ā€ƒB

Demographic, Payer

0.146

0.104

ā€ƒC

Demographic, Payer, Social Characteristics

0.185

0.039

ā€ƒD

Demographic, Payer, Social Characteristics, Habits

0.215

0.03

ā€ƒE

Demographic, Payer, Social Characteristics, Habits, Chronic Diagnosis

0.257

0.042

Adjusted multivariate model, multiple chronic conditions

ā€ƒA

Demographic

0.042

__

ā€ƒB

Demographic, Payer

0.146

0.104

ā€ƒC

Demographic, Payer, Social Characteristics

0.185

0.039

ā€ƒD

Demographic, Payer, Social Characteristics, Habits

0.215

0.03

ā€ƒE

Demographic, Payer, Social Characteristics, Habits, Multiple chronic conditions diagnosis

0.285

0.07

  1. Demographic variables: Race, Income
  2. Payer variables: Medicaid, Medicare, Medicaid/Medicare, Private Insurance, Self/None
  3. Social variables: Homelessness, Incarceration
  4. Habit variables: Alcohol use, substance use, tobacco use