Abstract
BackgroundA considerable number of prostate cancer (PCa) patients eligible for expectant management receive definitive treatment. We aimed to investigate the hospital-level contribution to overtreatment in the United States. MethodsUsing the National Cancer Database we identified two nonoverlapping cohorts: (1) men with a life expectancy <10 years harbouring low or intermediate risk PCa (2) men with life expectancy ≥10 years with low-risk PCa. Multivariable mixed models with patient characteristics as fixed and hospital-level intercept as random effect were used to assess the hospital-level risk-adjusted probability of definitive treatment in both groups. Pearson's correlation coefficient was calculated to investigate the correlation between the hospitals probabilities of treating patients of both cohorts. ResultsWe found 33,431 men with a life expectancy <10 years and 122,514 men with a life expectancy ≥10 years and low-risk PCa. In the latter, the probability of treatment ranged from 29.0% in the bottom to 90.0% in the top decile and from 35.0% to 88.0% for men with a life expectancy <10 years. Age and race were independent predictors of low-value treatment in both cohorts. The correlation between 1,225 hospitals treating men of both cohorts was strong (Pearson's r = 0.66, P < 0.001). ConclusionThere is wide hospital-level variability in low-value treatment of men with limited life expectancies and low-risk PCa. Hospitals more likely to treat men with limited life expectancies were more likely to treat men with low-risk PCa and vice versa. Identifying drivers and modifying practice at these hospitals may represent an effective tool for reducing overtreatment.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call