Characterizing Cancer and Work Disparities Using Electronic Health Records

Jaimi L. Allen (), Ruofei Du, Thomas Powell, Khariana L. Hobbs and Benjamin C. Amick
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Jaimi L. Allen: Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
Ruofei Du: Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
Thomas Powell: Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
Khariana L. Hobbs: Arkansas Department of Health, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
Benjamin C. Amick: Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA

IJERPH, 2022, vol. 19, issue 23, 1-9

Abstract: 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.

Keywords: employment; cancer survivorship; disparities (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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