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Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19
Recognition of the impact of social determinants of health (SDoH) on healthcare outcomes, healthcare service utilization, and population health has prompted a global shift in focus to patient social needs and lived experiences in assessment and treatment. The International Classification of Diseases...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098923/ https://www.ncbi.nlm.nih.gov/pubmed/35570965 http://dx.doi.org/10.3389/fpubh.2022.888459 |
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author | Yang, Xueying Yelton, Brooks Chen, Shujie Zhang, Jiajia Olatosi, Bankole A. Qiao, Shan Li, Xiaoming Friedman, Daniela B. |
author_facet | Yang, Xueying Yelton, Brooks Chen, Shujie Zhang, Jiajia Olatosi, Bankole A. Qiao, Shan Li, Xiaoming Friedman, Daniela B. |
author_sort | Yang, Xueying |
collection | PubMed |
description | Recognition of the impact of social determinants of health (SDoH) on healthcare outcomes, healthcare service utilization, and population health has prompted a global shift in focus to patient social needs and lived experiences in assessment and treatment. The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) provides a list of non-billable “Z codes” specific to SDoH for use in electronic health records. Using population-level analysis, this study aims to examine clinical application of Z codes in South Carolina before and during the COVID-19 pandemic. The study population consists of South Carolina residents who had a healthcare visit and had their COVID-19 test result reported to the state's Department of Health and Environmental Control before January 14, 2021. Of the 1,190,531 individuals in the overall sample, Z codes were used only for 14,665 (1.23%) of the patients, including 2,536 (0.97%) COVID-positive patients and 12,129 (1.30%) COVID-negative patients. Compared with hospitals that did not use Z codes, those that did were significantly more likely to have higher bed capacity (p = 0.017) and to be teaching hospitals (p = 0.03), although this was significant only among COVID-19 positive individuals. Those at inpatient visits were most likely to receive Z codes (OR: 5.26; 95% CI: 5.14, 5.38; p < 0.0001) compared to those at outpatient visits (OR: 0.07; 95%CI: 0.06, 0.07; p < 0.0001). There was a slight increase of Z code use from 2019 to 2020 (OR: 1.33, 95% CI: 1.30, 1.36; p < 0.0001), which was still significant when stratified by facility type across time. As one of the first studies to examine Z code use among a large patient population, findings clearly indicate underutilization by providers. Additional study is needed to understand the potentially long-lasting health effects related to SDoH among underserved populations. |
format | Online Article Text |
id | pubmed-9098923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90989232022-05-14 Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19 Yang, Xueying Yelton, Brooks Chen, Shujie Zhang, Jiajia Olatosi, Bankole A. Qiao, Shan Li, Xiaoming Friedman, Daniela B. Front Public Health Public Health Recognition of the impact of social determinants of health (SDoH) on healthcare outcomes, healthcare service utilization, and population health has prompted a global shift in focus to patient social needs and lived experiences in assessment and treatment. The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) provides a list of non-billable “Z codes” specific to SDoH for use in electronic health records. Using population-level analysis, this study aims to examine clinical application of Z codes in South Carolina before and during the COVID-19 pandemic. The study population consists of South Carolina residents who had a healthcare visit and had their COVID-19 test result reported to the state's Department of Health and Environmental Control before January 14, 2021. Of the 1,190,531 individuals in the overall sample, Z codes were used only for 14,665 (1.23%) of the patients, including 2,536 (0.97%) COVID-positive patients and 12,129 (1.30%) COVID-negative patients. Compared with hospitals that did not use Z codes, those that did were significantly more likely to have higher bed capacity (p = 0.017) and to be teaching hospitals (p = 0.03), although this was significant only among COVID-19 positive individuals. Those at inpatient visits were most likely to receive Z codes (OR: 5.26; 95% CI: 5.14, 5.38; p < 0.0001) compared to those at outpatient visits (OR: 0.07; 95%CI: 0.06, 0.07; p < 0.0001). There was a slight increase of Z code use from 2019 to 2020 (OR: 1.33, 95% CI: 1.30, 1.36; p < 0.0001), which was still significant when stratified by facility type across time. As one of the first studies to examine Z code use among a large patient population, findings clearly indicate underutilization by providers. Additional study is needed to understand the potentially long-lasting health effects related to SDoH among underserved populations. Frontiers Media S.A. 2022-04-29 /pmc/articles/PMC9098923/ /pubmed/35570965 http://dx.doi.org/10.3389/fpubh.2022.888459 Text en Copyright © 2022 Yang, Yelton, Chen, Zhang, Olatosi, Qiao, Li and Friedman. 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 | Public Health Yang, Xueying Yelton, Brooks Chen, Shujie Zhang, Jiajia Olatosi, Bankole A. Qiao, Shan Li, Xiaoming Friedman, Daniela B. Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19 |
title | Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19 |
title_full | Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19 |
title_fullStr | Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19 |
title_full_unstemmed | Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19 |
title_short | Examining Social Determinants of Health During a Pandemic: Clinical Application of Z Codes Before and During COVID-19 |
title_sort | examining social determinants of health during a pandemic: clinical application of z codes before and during covid-19 |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098923/ https://www.ncbi.nlm.nih.gov/pubmed/35570965 http://dx.doi.org/10.3389/fpubh.2022.888459 |
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