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Suboptimal Quality of Health Care and Associated Socioeconomic Factors Among Cancer Survivors During the COVID-19 Pandemic: A Cross-Sectional Study.

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Title: Suboptimal Quality of Health Care and Associated Socioeconomic Factors Among Cancer Survivors During the COVID-19 Pandemic: A Cross-Sectional Study.
Authors: Stephens, Erica S.1, Tao, Jun1, Corbin, Jereme1,2, Kreimer, Aimée R.1, McGee-Avila, Jennifer K.1, Doose, Michelle1, Roy, Siddharth1, Shiels, Meredith S.1, Shing, Jaimie Z.1 jaimie.shing@nih.gov
Source: Inquiry (00469580). 4/24/2025, Vol. 62, p1-11. 11p.
Subject Terms: *COVID-19 pandemic, Cross-sectional method, Scale analysis (Psychology), Medical quality control, Research funding, Socioeconomic factors, Early detection of cancer, Multiple regression analysis, Cancer patients, Descriptive statistics, Surveys, Medical appointments, Confidence intervals, Data analysis software, Preventive health services
Abstract: We described disruptions in cancer-related healthcare appointments and perceived quality of healthcare during the COVID-19 pandemic and identified predictors, including socioeconomic factors, of perceived quality of healthcare among cancer survivors. In this cross-sectional study, we used 2021 Health Information National Trends Survey-Surveillance, Epidemiology, and End Results data from Iowa, Greater Bay Area (California), and New Mexico cancer registries. Among cancer survivors who visited a healthcare provider in the past 12-months (N = 1130), we reported weighted prevalence of disruptions in (cancelled and/or changed to telehealth) routine cancer screening, disruptions in cancer treatment or follow-up, and perceived quality of healthcare, by registry. Using logistic regression, we identified predictors associated with perceived quality of healthcare, adjusting for sex and age. Among cancer survivors with scheduled appointments, 25.0% (Iowa) to 39.6% (California) reported disrupted cancer screening and 16.6% (Iowa) to 33.9% (California) reported disrupted treatment or follow-up related to their cancer diagnosis. 12.5% (Iowa) to 22.5% (New Mexico) of survivors perceived suboptimal quality of healthcare. Survivors with disrupted cancer screening, lower education and income, longer wait times for results, did not spend enough time with their doctor, and did not receive assistance with health uncertainty had increased odds of perceiving suboptimal quality of healthcare (odds ratio range = 2.64-19.31). Disruptions in cancer screening, lower socioeconomic status, and negative patient experiences were associated with poorer perceived quality of healthcare. Continued efforts are needed to address existing disparities to ensure equitable access to quality of healthcare post-pandemic. [ABSTRACT FROM AUTHOR]
Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Suboptimal Quality of Health Care and Associated Socioeconomic Factors Among Cancer Survivors During the COVID-19 Pandemic: A Cross-Sectional Study.
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  Data: <searchLink fieldCode="AR" term="%22Stephens%2C+Erica+S%2E%22">Stephens, Erica S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Tao%2C+Jun%22">Tao, Jun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Corbin%2C+Jereme%22">Corbin, Jereme</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kreimer%2C+Aimée+R%2E%22">Kreimer, Aimée R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22McGee-Avila%2C+Jennifer+K%2E%22">McGee-Avila, Jennifer K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Doose%2C+Michelle%22">Doose, Michelle</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Roy%2C+Siddharth%22">Roy, Siddharth</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shiels%2C+Meredith+S%2E%22">Shiels, Meredith S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shing%2C+Jaimie+Z%2E%22">Shing, Jaimie Z.</searchLink><relatesTo>1</relatesTo><i> jaimie.shing@nih.gov</i>
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  Data: <searchLink fieldCode="JN" term="%22Inquiry+%2800469580%29%22">Inquiry (00469580)</searchLink>. 4/24/2025, Vol. 62, p1-11. 11p.
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  Data: *<searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Scale+analysis+%28Psychology%29%22">Scale analysis (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+quality+control%22">Medical quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Early+detection+of+cancer%22">Early detection of cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+patients%22">Cancer patients</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+appointments%22">Medical appointments</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Preventive+health+services%22">Preventive health services</searchLink>
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  Label: Abstract
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  Data: We described disruptions in cancer-related healthcare appointments and perceived quality of healthcare during the COVID-19 pandemic and identified predictors, including socioeconomic factors, of perceived quality of healthcare among cancer survivors. In this cross-sectional study, we used 2021 Health Information National Trends Survey-Surveillance, Epidemiology, and End Results data from Iowa, Greater Bay Area (California), and New Mexico cancer registries. Among cancer survivors who visited a healthcare provider in the past 12-months (N = 1130), we reported weighted prevalence of disruptions in (cancelled and/or changed to telehealth) routine cancer screening, disruptions in cancer treatment or follow-up, and perceived quality of healthcare, by registry. Using logistic regression, we identified predictors associated with perceived quality of healthcare, adjusting for sex and age. Among cancer survivors with scheduled appointments, 25.0% (Iowa) to 39.6% (California) reported disrupted cancer screening and 16.6% (Iowa) to 33.9% (California) reported disrupted treatment or follow-up related to their cancer diagnosis. 12.5% (Iowa) to 22.5% (New Mexico) of survivors perceived suboptimal quality of healthcare. Survivors with disrupted cancer screening, lower education and income, longer wait times for results, did not spend enough time with their doctor, and did not receive assistance with health uncertainty had increased odds of perceiving suboptimal quality of healthcare (odds ratio range = 2.64-19.31). Disruptions in cancer screening, lower socioeconomic status, and negative patient experiences were associated with poorer perceived quality of healthcare. Continued efforts are needed to address existing disparities to ensure equitable access to quality of healthcare post-pandemic. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/00469580251330361
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Cross-sectional method
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      – SubjectFull: Scale analysis (Psychology)
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      – SubjectFull: Medical quality control
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      – SubjectFull: Research funding
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      – SubjectFull: Socioeconomic factors
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      – SubjectFull: Early detection of cancer
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      – SubjectFull: Multiple regression analysis
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      – SubjectFull: Cancer patients
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      – SubjectFull: Data analysis software
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      – SubjectFull: Preventive health services
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      – TitleFull: Suboptimal Quality of Health Care and Associated Socioeconomic Factors Among Cancer Survivors During the COVID-19 Pandemic: A Cross-Sectional Study.
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              M: 04
              Text: 4/24/2025
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