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Public Health ; 232: 52-60, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38735226

ABSTRACT

OBJECTIVE: To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic. STUDY DESIGN: Cross-sectional survey. METHODS: An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7). RESULTS: Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79-18.60), cancer (OR = 8.47; 95% CI = 3.73-19.30), and emergency (OR = 14.2; 95% CI = 5.57-36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52-0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL. CONCLUSIONS: ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic.


Subject(s)
COVID-19 , Cancer Survivors , Quality of Life , Humans , COVID-19/epidemiology , Male , Female , Middle Aged , Cancer Survivors/statistics & numerical data , Cancer Survivors/psychology , Cross-Sectional Studies , Adult , Aged , SARS-CoV-2 , Surveys and Questionnaires , Residence Characteristics/statistics & numerical data , Neoplasms/epidemiology , Neoplasms/therapy , Health Services Accessibility/statistics & numerical data , Socioeconomic Factors , Pandemics , Telemedicine/statistics & numerical data
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