OBJECTIVE: Robotic prostatectomy has rapidly disseminated over the past decade. How managed care, thought by many to be a barrier to new technology, influences the dissemination of robotics is unknown. We sought to better understand the relationship between a market's managed-care penetration and the dissemination of robotic prostatectomy. METHODS: We used SEER-Medicare data from 2003 through 2007 to identify men ≥66 years of age treated with radical prostatectomy for prostate cancer. We categorized Health Service Areas (HSAs) according to the degree of managed-care penetration (ie, low vs high). We assessed adoption of robotic prostatectomy and utilization among adopting HSAs using Cox proportional-hazards and Poisson regression models, respectively. RESULTS: Compared with markets with little managed care, highly penetrated markets had more racial diversity (24% vs 15% nonwhite, P < .01), higher population densities (1987 vs 422 people/square mile, P < .01), and higher median incomes ($49 374 vs $36 236, P < .01). Robotic prostatectomy adoption and utilization increased over time in both HSA categories. Compared with low managed-care markets, those with high managed care adopted robotic prostatectomy more rapidly (eg, probability 0.37 [low] vs 0.52 [high] in 2007; P < .01). However, the postadoption utilization of robotic prostatectomy was constrained in these highly penetrated markets (eg, probability 0.66 [low] vs 0.52 [high] in 2007; P < .01). CONCLUSIONS: High managed-care penetration was associated with more rapid robotic prostatectomy adoption. However, once adopted, utilization increased more slowly in these markets. Understanding this paradox is important as more technologies are unveiled in an increasingly cost-conscious health care environment.
OBJECTIVE: Robotic prostatectomy has rapidly disseminated over the past decade. How managed care, thought by many to be a barrier to new technology, influences the dissemination of robotics is unknown. We sought to better understand the relationship between a market's managed-care penetration and the dissemination of robotic prostatectomy. METHODS: We used SEER-Medicare data from 2003 through 2007 to identify men ≥66 years of age treated with radical prostatectomy for prostate cancer. We categorized Health Service Areas (HSAs) according to the degree of managed-care penetration (ie, low vs high). We assessed adoption of robotic prostatectomy and utilization among adopting HSAs using Cox proportional-hazards and Poisson regression models, respectively. RESULTS: Compared with markets with little managed care, highly penetrated markets had more racial diversity (24% vs 15% nonwhite, P < .01), higher population densities (1987 vs 422 people/square mile, P < .01), and higher median incomes ($49 374 vs $36 236, P < .01). Robotic prostatectomy adoption and utilization increased over time in both HSA categories. Compared with low managed-care markets, those with high managed care adopted robotic prostatectomy more rapidly (eg, probability 0.37 [low] vs 0.52 [high] in 2007; P < .01). However, the postadoption utilization of robotic prostatectomy was constrained in these highly penetrated markets (eg, probability 0.66 [low] vs 0.52 [high] in 2007; P < .01). CONCLUSIONS: High managed-care penetration was associated with more rapid robotic prostatectomy adoption. However, once adopted, utilization increased more slowly in these markets. Understanding this paradox is important as more technologies are unveiled in an increasingly cost-conscious health care environment.
Authors: William D Ulmer; Sandip M Prasad; Keith J Kowalczyk; Xiangmei Gu; Christopher Dodgion; Stuart Lipsitz; Ganesh S Palapattu; Toni K Choueiri; Jim C Hu Journal: J Urol Date: 2012-07-19 Impact factor: 7.450
Authors: Paul L Nguyen; Xiangmei Gu; Stuart R Lipsitz; Toni K Choueiri; Wesley W Choi; Yin Lei; Karen E Hoffman; Jim C Hu Journal: J Clin Oncol Date: 2011-03-14 Impact factor: 44.544
Authors: Bruce L Jacobs; Yun Zhang; Ted A Skolarus; John T Wei; James E Montie; Florian R Schroeck; Brent K Hollenbeck Journal: Urology Date: 2012-12 Impact factor: 2.649
Authors: Jim C Hu; Xiangmei Gu; Stuart R Lipsitz; Michael J Barry; Anthony V D'Amico; Aaron C Weinberg; Nancy L Keating Journal: JAMA Date: 2009-10-14 Impact factor: 56.272