TY - JOUR
T1 - Medical Education to Improve Rural Population Health
T2 - A Chain of Evidence From Alabama
AU - Wheat, John R.
AU - Coleman, Veronica L.
AU - Murphy, Shannon
AU - Turberville, Caleb M.
AU - Leeper, James D.
N1 - Publisher Copyright:
© 2015 National Rural Health Association.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Purpose: To provide evidence that medical education is associated with population health in order to support adaptation of medical school programs to address populations with health disparities. We explored medical education efforts, local physician supply, and life expectancy in Alabama. Methods: County-level public data of the number of students accepted to medical schools in 2008 and 2011, primary care physicians, life expectancy, and demographic/contextual variables were analyzed to develop a model for hypothesized associations. Correlational analysis, ANCOVA modeling, and path analysis were employed to identify, reduce, and organize significant variables in this cross-sectional ecologic study. Findings: The path model, which met criteria for goodness of fit, found significant relationships among medical students per 10,000 population, primary care physicians per 10,000 population, life expectancy, and contextual variables for rurality and poverty. ANCOVA models showed that geographic region was significant. Conclusions: Within limitations of the study design, these findings support the proposition that the number of medical students produced in a county is related to the number of primary care physicians, which is related to life expectancy. Recommendations are to confirm the findings in other populations and inform public health policy concerning the utility of medical education to address population health by producing local medical students.
AB - Purpose: To provide evidence that medical education is associated with population health in order to support adaptation of medical school programs to address populations with health disparities. We explored medical education efforts, local physician supply, and life expectancy in Alabama. Methods: County-level public data of the number of students accepted to medical schools in 2008 and 2011, primary care physicians, life expectancy, and demographic/contextual variables were analyzed to develop a model for hypothesized associations. Correlational analysis, ANCOVA modeling, and path analysis were employed to identify, reduce, and organize significant variables in this cross-sectional ecologic study. Findings: The path model, which met criteria for goodness of fit, found significant relationships among medical students per 10,000 population, primary care physicians per 10,000 population, life expectancy, and contextual variables for rurality and poverty. ANCOVA models showed that geographic region was significant. Conclusions: Within limitations of the study design, these findings support the proposition that the number of medical students produced in a county is related to the number of primary care physicians, which is related to life expectancy. Recommendations are to confirm the findings in other populations and inform public health policy concerning the utility of medical education to address population health by producing local medical students.
KW - Evidence-based research
KW - Medical education
KW - Physician supply
KW - Policy
KW - Population health
UR - http://www.scopus.com/inward/record.url?scp=84943240059&partnerID=8YFLogxK
U2 - 10.1111/jrh.12113
DO - 10.1111/jrh.12113
M3 - Article
C2 - 25808299
AN - SCOPUS:84943240059
SN - 0890-765X
VL - 31
SP - 354
EP - 364
JO - Journal of Rural Health
JF - Journal of Rural Health
IS - 4
ER -