Open Access
Open access
volume 8 issue 4 publication number ooaf059

The Community Vulnerability Compass: a novel, scalable approach for measuring and visualizing social determinants of health insights

Yolande Pengetnze 1
Venkatraghavan Sundaram 1
Yusuf Tamer 1
Albert Karam 1
Lance Rather 1
Olayide Adejumobi 1
Leslie Wainwright 2
Steve Miff 1
1
 
Parkland Center for Clinical Innovation (PCCI) , Dallas, TX 75247,
2
 
Formerly Parkland Center for Clinical Innovation (PCCI) , Dallas, TX 75247,
Publication typeJournal Article
Publication date2025-07-03
scimago Q1
wos Q1
SJR1.085
CiteScore4.8
Impact factor3.4
ISSN25742531
Abstract
Objectives

To determine whether a novel digital tool, the Community Vulnerability Compass (CVC), built using large datasets, can accurately measure neighborhood- and individual-level social determinants of health (SDOH) at scale. Existing SDOH indexes fall short of this dual requirement.

Materials and Methods

Setting: A cross-sectional study by Parkland Health (Parkland) and Parkland Center for Clinical Innovation (PCCI) to design, build, deploy, and validate CVC in Dallas County/across Texas (2018-2024). Data Sources: Parkland Electronic Health Records; population-level data from diverse national datasets. Statistical Analysis: CVC’s Community Vulnerability Index (CVI), and 4 subindexes were used to classify all 18 638 Texas census-block groups as Very-High, High, Moderate, Low, and Very-Low social vulnerability. Individuals were assigned the vulnerability of their home address census-block group. CVC’s classifications were compared against 3 existing SDOH neighborhood tools (Area Deprivation Index [ADI], Social Vulnerability Index [SVI], or Environmental Justice Index [EJI]) and validated against individual-level SDOH screening tools or Z-code documentation. Spearman rank correlation was used for neighborhood-level comparisons and precision/recall, for individual-level comparisons.

Results

Neighborhood-level CVI measurement of social vulnerability strongly correlated with EJI (r = 0.83), SVI (r = 0.82), and ADI (r = 0.79). Individual-level CVI measurement had higher recall than ADI (68% vs 39%, respectively; P < .001) and high recall across self-reported SDOH (77%-79.6%). Precision was highest for food needs (75.1%); lowest for safety needs (1.2%).

Discussion

CVC measured a cross-cutting range of neighborhood social vulnerabilities and accurately approximated individual-level SDOH, outperforming existing indexes.

Conclusion

CVC can be leveraged as an accurate and scalable SDOH digital measurement tool.

Found 

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Pengetnze Y. et al. The Community Vulnerability Compass: a novel, scalable approach for measuring and visualizing social determinants of health insights // JAMIA Open. 2025. Vol. 8. No. 4. ooaf059
GOST all authors (up to 50) Copy
Pengetnze Y., Sundaram V., Tamer Y., Karam A., Rather L., Adejumobi O., Wainwright L., Miff S. The Community Vulnerability Compass: a novel, scalable approach for measuring and visualizing social determinants of health insights // JAMIA Open. 2025. Vol. 8. No. 4. ooaf059
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RIS Copy
TY - JOUR
DO - 10.1093/jamiaopen/ooaf059
UR - https://academic.oup.com/jamiaopen/article/doi/10.1093/jamiaopen/ooaf059/8186009
TI - The Community Vulnerability Compass: a novel, scalable approach for measuring and visualizing social determinants of health insights
T2 - JAMIA Open
AU - Pengetnze, Yolande
AU - Sundaram, Venkatraghavan
AU - Tamer, Yusuf
AU - Karam, Albert
AU - Rather, Lance
AU - Adejumobi, Olayide
AU - Wainwright, Leslie
AU - Miff, Steve
PY - 2025
DA - 2025/07/03
PB - Oxford University Press
IS - 4
VL - 8
SN - 2574-2531
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Pengetnze,
author = {Yolande Pengetnze and Venkatraghavan Sundaram and Yusuf Tamer and Albert Karam and Lance Rather and Olayide Adejumobi and Leslie Wainwright and Steve Miff},
title = {The Community Vulnerability Compass: a novel, scalable approach for measuring and visualizing social determinants of health insights},
journal = {JAMIA Open},
year = {2025},
volume = {8},
publisher = {Oxford University Press},
month = {jul},
url = {https://academic.oup.com/jamiaopen/article/doi/10.1093/jamiaopen/ooaf059/8186009},
number = {4},
pages = {ooaf059},
doi = {10.1093/jamiaopen/ooaf059}
}