The SVM App
The Social Vulnerability Metric (SVM) is an ecological measure of social determinants of health (SDoH) jointly developed by researchers at the University of Chicago and Johns Hopkins University. The SVM App, accessed below, allows visitors to explore nationwide data and consider ways that this data can be applied and leveraged in a wide variety of settings. The breakthrough developments of the CAT-SDoH and SVM open the door to a new approach to the measurement of SDoH. For the first time, technology exists to adaptively measure SDoH from both ecological and personal perspective, when using the two together; with information as simple as an individual’s zip code, it is possible to better understand the metrics which make the individual the most vulnerable.
In the future, the SVM items and CAT-SDoH items will be jointly calibrated in the bi-factor model, used in the development of other CAT-MH® measures, and harmonized into a single metric. When using the participant’s zip code, the SVM score will “jump-start” the CAT-SDoH and provide a final SV score that reflects a synthesis of both the ecological and personal perspective, leading to a more holistic understand of an individual’s social determinants of health.
Access the SVM App
By completing this form, you agree to reference the following citation in any published work. Visitors may view or download the county-level or zip-code level SVM scores, and percentiles utilized in the app. This page will redirect after the form is submitted.
Saulsberry L, Bhargava A, Zeng S, Gibbons JB, Brannan C, Lauderdale S, and Gibbons RD. The Social Vulnerability Metric (SVM) As A New Tool for Public Health Policy and Practice. Health Services Research, 2022;1‐9. doi:10.1111/1475- 6773.14102