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Repeatable enhancement of healthcare data with social determinants of health
BACKGROUND: Social and behavioral aspects of our lives significantly impact our health, yet minimal social determinants of health (SDOH) data elements are collected in the healthcare system. METHODS: In this proof-of-concept study we developed a repeatable SDOH enrichment and integration process to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376253/ https://www.ncbi.nlm.nih.gov/pubmed/35979428 http://dx.doi.org/10.3389/fdata.2022.894598 |
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author | Greer, Melody L. Zayas, Cilia E. Bhattacharyya, Sudeepa |
author_facet | Greer, Melody L. Zayas, Cilia E. Bhattacharyya, Sudeepa |
author_sort | Greer, Melody L. |
collection | PubMed |
description | BACKGROUND: Social and behavioral aspects of our lives significantly impact our health, yet minimal social determinants of health (SDOH) data elements are collected in the healthcare system. METHODS: In this proof-of-concept study we developed a repeatable SDOH enrichment and integration process to incorporate dynamically evolving SDOH domain concepts from consumers into clinical data. This process included SDOH mapping, linking compiled consumer data to patient records in Electronic Health Records, data quality analysis and preprocessing, and storage. RESULTS: Consumer compilers data coverage ranged from ~90 to ~54% and the percentage match rate between compilers was between ~21 and 64%. Our preliminary analysis showed that apart from demographic factors, several SDOH factors like home-ownership, marital-status, presence of children, number of members per household, economic stability and education were significantly different between the COVID-19 positive and negative patient groups while estimated family-income and home market-value were not. CONCLUSION: Our preliminary analysis shows commercial consumer data can be a viable source of SDOH factor at an individual-level for clinical data thus providing a path for clinicians to improve patient treatment and care. |
format | Online Article Text |
id | pubmed-9376253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93762532022-08-16 Repeatable enhancement of healthcare data with social determinants of health Greer, Melody L. Zayas, Cilia E. Bhattacharyya, Sudeepa Front Big Data Big Data BACKGROUND: Social and behavioral aspects of our lives significantly impact our health, yet minimal social determinants of health (SDOH) data elements are collected in the healthcare system. METHODS: In this proof-of-concept study we developed a repeatable SDOH enrichment and integration process to incorporate dynamically evolving SDOH domain concepts from consumers into clinical data. This process included SDOH mapping, linking compiled consumer data to patient records in Electronic Health Records, data quality analysis and preprocessing, and storage. RESULTS: Consumer compilers data coverage ranged from ~90 to ~54% and the percentage match rate between compilers was between ~21 and 64%. Our preliminary analysis showed that apart from demographic factors, several SDOH factors like home-ownership, marital-status, presence of children, number of members per household, economic stability and education were significantly different between the COVID-19 positive and negative patient groups while estimated family-income and home market-value were not. CONCLUSION: Our preliminary analysis shows commercial consumer data can be a viable source of SDOH factor at an individual-level for clinical data thus providing a path for clinicians to improve patient treatment and care. Frontiers Media S.A. 2022-08-01 /pmc/articles/PMC9376253/ /pubmed/35979428 http://dx.doi.org/10.3389/fdata.2022.894598 Text en Copyright © 2022 Greer, Zayas and Bhattacharyya. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Greer, Melody L. Zayas, Cilia E. Bhattacharyya, Sudeepa Repeatable enhancement of healthcare data with social determinants of health |
title | Repeatable enhancement of healthcare data with social determinants of health |
title_full | Repeatable enhancement of healthcare data with social determinants of health |
title_fullStr | Repeatable enhancement of healthcare data with social determinants of health |
title_full_unstemmed | Repeatable enhancement of healthcare data with social determinants of health |
title_short | Repeatable enhancement of healthcare data with social determinants of health |
title_sort | repeatable enhancement of healthcare data with social determinants of health |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376253/ https://www.ncbi.nlm.nih.gov/pubmed/35979428 http://dx.doi.org/10.3389/fdata.2022.894598 |
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