BACKGROUND: Understanding physician-level discrepancies is increasingly a target of US healthcare reform for the delivery of quality-focused patient care. OBJECTIVE: To estimate the relative contributions of patient and surgeon characteristics to the variability in key outcomes after partial nephrectomy (PN). DESIGN, SETTING, AND PARTICIPANTS: Retrospective review of 1461 patients undergoing PN performed by 19 surgeons between 2011 and 2016 at a tertiary care referral center. INTERVENTION: PN for a renal mass. OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS: Hierarchical linear and logistic regression models were built to determine the percentage variability contributed by fixed patient and surgeon factors on peri- and postoperative outcomes. Residual between- and within-surgeon variability was calculated while adjusting for fixed factors. RESULTS AND LIMITATIONS: On null hierarchical models, there was significant between-surgeon variability in operative time, estimated blood loss (EBL), ischemia time, excisional volume loss, length of stay, positive margins, Clavien complications, and 30-d readmission rate (all p<0.001), but not chronic kidney disease upstaging (p=0.47) or percentage preservation of glomerular filtration rate (p=0.49). Patient factors explained 82% of the variability in excisional volume loss and 0-32% of the variability in the remainder of outcomes. Quantifiable surgeon factors explained modest amounts (10-40%) of variability in intraoperative outcomes, and noteworthy amounts of variability (90-100%) in margin rates and patient morbidity outcomes. Immeasurable surgeon factors explained the residual variability in operative time (27%), EBL (6%), and ischemia time (31%). CONCLUSIONS: There is significant between-surgeon variability in outcomes after PN, even after adjusting for patient characteristics. While renal functional outcomes are consistent across surgeons, measured and unmeasured surgeon factors account for 18-100% of variability of the remaining peri- and postoperative variables. With the increasing utilization of value-based medicine, this has important implications for the goal of optimizing patient care. PATIENT SUMMARY: We reviewed our institutional database on partial nephrectomy performed for renal cancer. We found significant variability between surgeons for key outcomes after the intervention, even after adjusting for patient characteristics.
BACKGROUND: Understanding physician-level discrepancies is increasingly a target of US healthcare reform for the delivery of quality-focused patient care. OBJECTIVE: To estimate the relative contributions of patient and surgeon characteristics to the variability in key outcomes after partial nephrectomy (PN). DESIGN, SETTING, AND PARTICIPANTS: Retrospective review of 1461 patients undergoing PN performed by 19 surgeons between 2011 and 2016 at a tertiary care referral center. INTERVENTION: PN for a renal mass. OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS: Hierarchical linear and logistic regression models were built to determine the percentage variability contributed by fixed patient and surgeon factors on peri- and postoperative outcomes. Residual between- and within-surgeon variability was calculated while adjusting for fixed factors. RESULTS AND LIMITATIONS: On null hierarchical models, there was significant between-surgeon variability in operative time, estimated blood loss (EBL), ischemia time, excisional volume loss, length of stay, positive margins, Clavien complications, and 30-d readmission rate (all p<0.001), but not chronic kidney disease upstaging (p=0.47) or percentage preservation of glomerular filtration rate (p=0.49). Patient factors explained 82% of the variability in excisional volume loss and 0-32% of the variability in the remainder of outcomes. Quantifiable surgeon factors explained modest amounts (10-40%) of variability in intraoperative outcomes, and noteworthy amounts of variability (90-100%) in margin rates and patient morbidity outcomes. Immeasurable surgeon factors explained the residual variability in operative time (27%), EBL (6%), and ischemia time (31%). CONCLUSIONS: There is significant between-surgeon variability in outcomes after PN, even after adjusting for patient characteristics. While renal functional outcomes are consistent across surgeons, measured and unmeasured surgeon factors account for 18-100% of variability of the remaining peri- and postoperative variables. With the increasing utilization of value-based medicine, this has important implications for the goal of optimizing patient care. PATIENT SUMMARY: We reviewed our institutional database on partial nephrectomy performed for renal cancer. We found significant variability between surgeons for key outcomes after the intervention, even after adjusting for patient characteristics.
Authors: Nicolò Fiorello; Andrea Di Benedetto; Daniele Summonti; Andrea Mogorovich; Carlo Alberto Sepich Journal: Cent European J Urol Date: 2021-12-06
Authors: Fabrizio Di Maida; Riccardo Campi; Brian R Lane; Ottavio De Cobelli; Francesco Sanguedolce; Georgios Hatzichristodoulou; Alessandro Antonelli; Antonio Andrea Grosso; Sabrina Noyes; Oscar Rodriguez-Faba; Frank X Keeley; Johan Langenhuijsen; Gennaro Musi; Tobias Klatte; Marco Roscigno; Bulent Akdogan; Maria Furlan; Claudio Simeone; Nihat Karakoyunlu; Martin Marszalek; Umberto Capitanio; Alessandro Volpe; Sabine Brookman-May; Jürgen E Gschwend; Marc C Smaldone; Robert G Uzzo; Alexander Kutikov; Andrea Minervini Journal: J Clin Med Date: 2022-03-23 Impact factor: 4.241
Authors: Ahmed Al Asker; Abdulmalik Addar; Mohammed Alghamdi; Saud Alawad; Mohammed Alharbi; Saeed Bin Hamri; Nasser Albqami; Abdullah Alkhayal; Khaled Alrabeeah Journal: J Kidney Cancer VHL Date: 2021-06-17