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Table 3 Variables included in the regression models

From: Using a positive deviance framework to identify Local Health Departments in Communities with exceptional maternal and child health outcomes: a cross sectional study

Variables

Notes

External factors LHDs cannot control (Context)

Total LHD expenditure

Raw number or per capita

Population

Total population of the county/area the LHD serves (number)

Number of Medicaid births in the county

Controls for need of services

Core Based Statistical Area (CSBA) [28]

3 levels: metropolitan, micropolitan, rural

% of children under 18 living in poverty

 

Social Disadvantage Index [29]

Index of median HH income; % of households receiving public assistance; % unemployed

% of persons 25+ with HS or more education in county

 

% of county population that is African American

 

% of county population that is Hispanic

 

Per Capita number of nurses

 

Per Capita number of midwives

 

Per Capita number of doctors

 

Inputs (LHD can control)

Alternative Provider

Categorical variables for each MCH service area (linked to expenditure included); captures whether other entity is providing the service in the county area

Executive Clinician

0-1; captures whether the executive at the LHD has a clinical degree or not

LHD Service Approach Classification

Categorical variable (4 levels) obtained through latent class analysis of self-reported LHD service provisions to the NACCHO profile survey [34]

MCH Outcomes

Teen pregnancy rate

Number of births to girls age 15–19 over total number of girls age 15–19 (× 1000), smoothed (3 year average)

Infant Mortality rate

Number of infant deaths over total number of births, smoothed (3 year average)

Late or no prenatal care rate

Number of infants born that received no or late prenatal care over total births, smoothed (3 year average)

Low birth weight rate

Number of infants born at low birth weight over total births, smoothed (3 year average)