Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
Disparities in healthcare utilization and access by measures of economic stability among female cancer survivors in Maryland.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Keno Lensa S, Jin Mu, Cohen Camryn M, Visvanathan Kala, Connor Avonne E
Аннотация
BACKGROUND: Racial/ethnic minorities and economically disadvantaged populations may underuse healthcare throughout cancer survivorship. We explored associations between race/ethnicity, economic stability, and healthcare utilization among female cancer survivors.
METHODS: Survey data were analyzed for 1633 females with a self-reported history of cancer who completed the Maryland Behavioral Risk Factor Surveillance Survey between 2011 and 2020. Odds ratios with 95% confidence intervals (CI) for associations between sociodemographic factors and healthcare utilization were estimated utilizing multivariable logistic regression models.
RESULTS: While 39.8% of survivors reported being employed, 39.7% reported being retired and 10.5% were unemployed. Unemployed survivors (vs employed) were 3.90 times the odds of reporting not being able to see a doctor because of cost (95% CI 1.38-11.04). Survivors who were not homeowners (versus homeowners) had 61% lower odds of reporting to have a general/family practitioner for majority of care (95% CI 0.22-0.67). Survivors with household incomes ≤ $50,000/year (versus > $50,000) had 2.36 times the odds to not have seen a doctor in the past year (95% CI 1.20-4.65). An interaction (p = 0.002) was observed between race/ethnicity and time since diagnosis with seeing a doctor in past year.
CONCLUSIONS: Our findings demonstrate healthcare utilization disparities and highlight the need for targeted interventions for female cancer survivors in Maryland.
METHODS: Survey data were analyzed for 1633 females with a self-reported history of cancer who completed the Maryland Behavioral Risk Factor Surveillance Survey between 2011 and 2020. Odds ratios with 95% confidence intervals (CI) for associations between sociodemographic factors and healthcare utilization were estimated utilizing multivariable logistic regression models.
RESULTS: While 39.8% of survivors reported being employed, 39.7% reported being retired and 10.5% were unemployed. Unemployed survivors (vs employed) were 3.90 times the odds of reporting not being able to see a doctor because of cost (95% CI 1.38-11.04). Survivors who were not homeowners (versus homeowners) had 61% lower odds of reporting to have a general/family practitioner for majority of care (95% CI 0.22-0.67). Survivors with household incomes ≤ $50,000/year (versus > $50,000) had 2.36 times the odds to not have seen a doctor in the past year (95% CI 1.20-4.65). An interaction (p = 0.002) was observed between race/ethnicity and time since diagnosis with seeing a doctor in past year.
CONCLUSIONS: Our findings demonstrate healthcare utilization disparities and highlight the need for targeted interventions for female cancer survivors in Maryland.