Suboptimal Quality of Health Care and Associated Socioeconomic Factors Among Cancer Survivors During the COVID-19 Pandemic: A Cross-Sectional Study.
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 Healt...
| Publicado en: | Inquiry (00469580) Vol. 62; pp. 1 - 12 |
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| Autores principales: | , , , , , , , , |
| Formato: | Artículo |
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Sage Publications Inc.
4/24/2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=184747634&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 184747634 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00469580 INQ jtl: Inquiry (00469580) issn: 00469580 maglogo: Y pubinfo: dt: 4/24/2025 vid: 62 pid: 344 pub: Sage Publications Inc. artinfo: ui: 184747634 10.1177/00469580251330361 ppf: 1 ppct: 11 formats: tig: atl: Suboptimal Quality of Health Care and Associated Socioeconomic Factors Among Cancer Survivors During the COVID-19 Pandemic: A Cross-Sectional Study. aug: au: Stephens, Erica S. Tao, Jun Corbin, Jereme Kreimer, Aimée R. McGee-Avila, Jennifer K. Doose, Michelle Roy, Siddharth Shiels, Meredith S. Shing, Jaimie Z. affil: National Cancer Institute, Rockville, MD, USA Georgetown University, Washington, DC, USA su: 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 COVID-19 pandemic Preventive health services sug: subj: 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 COVID-19 pandemic Preventive health services keyword: cancer survivors COVID-19 cross-sectional studies quality of health care socioeconomic factors ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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