A county-level cross-sectional analysis of positive deviance to assess multiple population health outcomes in Indiana.

ABSTRACT:

Objective

To test a positive deviance method to identify counties that are performing better than statistical expectations on a set of population health indicators.

Design

Quantitative, cross-sectional county-level secondary analysis of risk variables and outcomes in Indiana. Data are analysed using multiple linear regression to identify counties performing better or worse than expected given traditional risk indicators, with a focus on 'positive deviants' or counties performing better than expected.

Participants

Counties in Indiana (n=92) constitute the unit of analysis.

Main outcome measures

Per cent adult obesity, per cent fair/poor health, low birth weight per cent, per cent with diabetes, years of potential life lost, colorectal cancer incidence rate and c

SUBMITTER: Hendryx M 

PROVIDER: S-EPMC5652502 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature