Enhancing the measurement of health disparities for vulnerable populations.
This article presents a mechanism for tracking and reporting health disparities data that are based on a general model of vulnerability. We briefly discuss the origins of this model and describe its focus on the cumulative impact of multiple risk factors on health-related outcomes. We then demonstrate how the model can be applied to inform the collection and reporting of health disparities data by providing three examples. Since national and state datasets contain information on a wide range of risk factors, researchers and policy makers would benefit from examining the multiple risks that affect vulnerable populations simultaneously, as we have demonstrated in the three examples. These examples suggest that the determinants of health and healthcare problems are multifactorial and that they can be studied in an integrative approach using risk profiles. This research methodology can strengthen our existing knowledge of health disparities and aid in the recognition of points of intervention to successfully improve health and healthcare for vulnerable populations.
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Maryland 21205, USA. lshi@jhsph.edu
Leiyu
L
Shi
Gregory D
GD
Stevens
Lydie A
LA
Lebrun
Pegah
P
Faed
Jenna
J
Tsai
D002675:Child, Preschool; D005260:Female; D006297:Health Services Accessibility; D054624:Health Status Disparities; D006801:Humans; D007223:Infant; D007407:Interviews as Topic; D008297:Male; D008962:Models, Theoretical; D011787:Quality of Health Care; D012307:Risk Factors; D012923:Social Class; D014481:United States; D035862:Vulnerable Populations / Q000208:ethnology*