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Characterizing Cancer and Work Disparities Using Electronic Health Records
Advancements in cancer diagnosis and treatment have resulted in improvements in survivor outcomes; however, cancer survivors are more likely to experience adverse employment outcomes such as job loss, reduced working hours, and early retirement. The purpose of this study was to examine employment di...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740124/ https://www.ncbi.nlm.nih.gov/pubmed/36497959 http://dx.doi.org/10.3390/ijerph192315887 |
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author | Allen, Jaimi L. Du, Ruofei Powell, Thomas Hobbs, Khariana L. Amick, Benjamin C. |
author_facet | Allen, Jaimi L. Du, Ruofei Powell, Thomas Hobbs, Khariana L. Amick, Benjamin C. |
author_sort | Allen, Jaimi L. |
collection | PubMed |
description | Advancements in cancer diagnosis and treatment have resulted in improvements in survivor outcomes; however, cancer survivors are more likely to experience adverse employment outcomes such as job loss, reduced working hours, and early retirement. The purpose of this study was to examine employment disparities among cancer survivors. Our study collected data from 29,136 cancer survivors (ages 18–65) between 2015 and 2021 using electronic health records (EHR) and linked to cancer registry data. Of those with employment information (n = 7296), differences in employment status were explored by race, ethnicity, sex, geography, marital status, education, age, and cancer site. Of the patients with employment status available, 61% were employed, 28% were not employed, 9% were disabled, 2% were retired. Logistic regression results revealed adjusted effects: a positive association between employment and marriage, while racial and ethnic minority adults, rurality, and certain age categories were less likely to be employed. Unadjusted results showed a positive association between employment and education. These results contribute to an emerging body of literature showing adverse employment outcomes for cancer survivors. |
format | Online Article Text |
id | pubmed-9740124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97401242022-12-11 Characterizing Cancer and Work Disparities Using Electronic Health Records Allen, Jaimi L. Du, Ruofei Powell, Thomas Hobbs, Khariana L. Amick, Benjamin C. Int J Environ Res Public Health Article Advancements in cancer diagnosis and treatment have resulted in improvements in survivor outcomes; however, cancer survivors are more likely to experience adverse employment outcomes such as job loss, reduced working hours, and early retirement. The purpose of this study was to examine employment disparities among cancer survivors. Our study collected data from 29,136 cancer survivors (ages 18–65) between 2015 and 2021 using electronic health records (EHR) and linked to cancer registry data. Of those with employment information (n = 7296), differences in employment status were explored by race, ethnicity, sex, geography, marital status, education, age, and cancer site. Of the patients with employment status available, 61% were employed, 28% were not employed, 9% were disabled, 2% were retired. Logistic regression results revealed adjusted effects: a positive association between employment and marriage, while racial and ethnic minority adults, rurality, and certain age categories were less likely to be employed. Unadjusted results showed a positive association between employment and education. These results contribute to an emerging body of literature showing adverse employment outcomes for cancer survivors. MDPI 2022-11-29 /pmc/articles/PMC9740124/ /pubmed/36497959 http://dx.doi.org/10.3390/ijerph192315887 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Allen, Jaimi L. Du, Ruofei Powell, Thomas Hobbs, Khariana L. Amick, Benjamin C. Characterizing Cancer and Work Disparities Using Electronic Health Records |
title | Characterizing Cancer and Work Disparities Using Electronic Health Records |
title_full | Characterizing Cancer and Work Disparities Using Electronic Health Records |
title_fullStr | Characterizing Cancer and Work Disparities Using Electronic Health Records |
title_full_unstemmed | Characterizing Cancer and Work Disparities Using Electronic Health Records |
title_short | Characterizing Cancer and Work Disparities Using Electronic Health Records |
title_sort | characterizing cancer and work disparities using electronic health records |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740124/ https://www.ncbi.nlm.nih.gov/pubmed/36497959 http://dx.doi.org/10.3390/ijerph192315887 |
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