Archivio italiano di urologia, andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica · 2024
The relationship between income, health insurance, and employment status as prognostic indicators of bladder cancer: A survival analysis.
Наблюдательное исследованиеСтатьяНазвание и аннотация: Перевод в очереди
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Djatisoesanto Wahjoe, Azmi Yufi Aulia, Yatindra Ida Bagus Gde Tirta Yoga
Аннотация
BACKGROUND: Bladder cancer (BC) is one of the health problems. Socioeconomic status (SES) may correlate with patient treatment, possibly impacting patient prognosis. This study aimed to determine the relationship between income, health insurance, and employment status as prognostic indicators of BC.
METHODS: A retrospective observational study for patients diagnosed with BC in a hospital during the 5-year period between January 2019 and December 2023. Kaplan-Meier test analysis was used to generate overall survival curves stratified by income, employment status, and health insurance. Multivariate Cox proportional-hazards regression was used to identify factors associated with worse overall survival.
RESULTS: The results of the analysis on 219 patients showed no difference in patient survival based on income (p>0.05), while employment status and health insurance showed significant difference in patient survival (p<0.05). Moreover, there were 99 (45.2%) patients died, with the average patient being 58 years old and dominant in male patients.
CONCLUSIONS: Prevention of poor outcomes in patients needs to pay attention to certain characteristics, particularly for the loweconomic patients without appropriate national health insurance coverage.
METHODS: A retrospective observational study for patients diagnosed with BC in a hospital during the 5-year period between January 2019 and December 2023. Kaplan-Meier test analysis was used to generate overall survival curves stratified by income, employment status, and health insurance. Multivariate Cox proportional-hazards regression was used to identify factors associated with worse overall survival.
RESULTS: The results of the analysis on 219 patients showed no difference in patient survival based on income (p>0.05), while employment status and health insurance showed significant difference in patient survival (p<0.05). Moreover, there were 99 (45.2%) patients died, with the average patient being 58 years old and dominant in male patients.
CONCLUSIONS: Prevention of poor outcomes in patients needs to pay attention to certain characteristics, particularly for the loweconomic patients without appropriate national health insurance coverage.