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ImportanceThere is growing interest in developing coordinated regional systems for nontraumatic surgical emergencies; however, our understanding of existing emergency general surgery (EGS) care communities is limited.ObjectiveTo apply network analysis methods to delineate EGS care regions and compare the performance of this method with the Dartmouth Health Referral Regions (HRRs).Design, Setting, and ParticipantsThis cross-sectional study was conducted using the 2019 California and New York state emergency department and inpatient databases. Eligible participants included all adult patients with a nonelective admission for common EGS conditions. Interhospital transfers (IHTs) were identified by transfer indicators or temporally adjacent hospitalizations at 2 different facilities. Data analysis was conducted from January to May 2024.ExposureAdmission for primary EGS diagnosis.Main Outcomes and MeasuresRegional EGS networks (RENs) were delineated by modularity optimization (MO), a community detection method, and compared with the plurality-based Dartmouth HRRs. Geographic boundaries were compared through visualization of patient flows and associated health care regions. Spatial accuracy of the 2 methods was compared using 6 common network analysis measures: localization index (LI), market share index (MSI), net patient flow, connectivity, compactness, and modularity.ResultsA total of 1 244 868 participants (median [IQR] age, 55 [37-70 years]; 776 725 male [62.40%]) were admitted with a primary EGS diagnosis. In New York, there were 405 493 EGS encounters with 3212 IHTs (0.79%), and 9 RENs were detected using MO compared with 10 Dartmouth HRRs. In California, there were 839 375 encounters with 10 037 IHTs (1.20%), and 14 RENs were detected compared with 24 HRRs. The greatest discrepancy between REN and HRR boundaries was in rural regions where one REN often encompassed multiple HRRs. The MO method was significantly better than HRRs in identifying care networks that accurately captured patients living within the geographic region as indicated by the LI and MSI for New York (mean [SD] LI, 0.86 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.16 [0.13] for REN vs 0.32 [0.21] for HRR) and California (mean [SD] LI, 0.83 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.19 [0.14] for REN vs 0.39 [0.43] for HRR). Nearly 27% of New York hospitals (37 of 139 hospitals [26.62%]) and 15% of California hospitals (48 of 336 hospitals [14.29%]) were reclassified into a different community with the MO method.Conclusions and RelevanceDevelopment of optimal health delivery systems for EGS patients will require knowledge of care patterns specific to this population. The findings of this cross-sectional study suggest that network science methods, such as MO, offer opportunities to identify empirical EGS care regions that outperform HRRs and can be applied in the development of coordinated regional systems of care.
ImportanceThere is growing interest in developing coordinated regional systems for nontraumatic surgical emergencies; however, our understanding of existing emergency general surgery (EGS) care communities is limited.ObjectiveTo apply network analysis methods to delineate EGS care regions and compare the performance of this method with the Dartmouth Health Referral Regions (HRRs).Design, Setting, and ParticipantsThis cross-sectional study was conducted using the 2019 California and New York state emergency department and inpatient databases. Eligible participants included all adult patients with a nonelective admission for common EGS conditions. Interhospital transfers (IHTs) were identified by transfer indicators or temporally adjacent hospitalizations at 2 different facilities. Data analysis was conducted from January to May 2024.ExposureAdmission for primary EGS diagnosis.Main Outcomes and MeasuresRegional EGS networks (RENs) were delineated by modularity optimization (MO), a community detection method, and compared with the plurality-based Dartmouth HRRs. Geographic boundaries were compared through visualization of patient flows and associated health care regions. Spatial accuracy of the 2 methods was compared using 6 common network analysis measures: localization index (LI), market share index (MSI), net patient flow, connectivity, compactness, and modularity.ResultsA total of 1 244 868 participants (median [IQR] age, 55 [37-70 years]; 776 725 male [62.40%]) were admitted with a primary EGS diagnosis. In New York, there were 405 493 EGS encounters with 3212 IHTs (0.79%), and 9 RENs were detected using MO compared with 10 Dartmouth HRRs. In California, there were 839 375 encounters with 10 037 IHTs (1.20%), and 14 RENs were detected compared with 24 HRRs. The greatest discrepancy between REN and HRR boundaries was in rural regions where one REN often encompassed multiple HRRs. The MO method was significantly better than HRRs in identifying care networks that accurately captured patients living within the geographic region as indicated by the LI and MSI for New York (mean [SD] LI, 0.86 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.16 [0.13] for REN vs 0.32 [0.21] for HRR) and California (mean [SD] LI, 0.83 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.19 [0.14] for REN vs 0.39 [0.43] for HRR). Nearly 27% of New York hospitals (37 of 139 hospitals [26.62%]) and 15% of California hospitals (48 of 336 hospitals [14.29%]) were reclassified into a different community with the MO method.Conclusions and RelevanceDevelopment of optimal health delivery systems for EGS patients will require knowledge of care patterns specific to this population. The findings of this cross-sectional study suggest that network science methods, such as MO, offer opportunities to identify empirical EGS care regions that outperform HRRs and can be applied in the development of coordinated regional systems of care.
ImportanceAlthough the use of robotic-assisted ventral hernia repairs has increased significantly over the last decade, the experience surgeons need to achieve comparable outcomes with more established laparoscopic and open approaches has not been well characterized.ObjectiveTo estimate the learning curves for robotic-assisted ventral (incisional and umbilical) hernia repair.Design, Setting, and ParticipantsThis retrospective cohort study included Medicare fee-for-service patients (≥18 years) enrolled in Medicare Part A and Part B with no managed care undergoing ventral hernia repairs between 2010 and 2020. Multivariate logistic regression was used to estimate reoperation rates for hernia recurrence, adjusting for patient demographics, comorbidities, mesh placement, and hospital characteristics. Analyses were conducted from October 2023 to July 2024.ExposureIncremental robotic-assisted hernia repair volume.Main Outcome and MeasureReoperation for hernia recurrence within 7 years of index hernia repair.ResultsThis study comprised 160 379 Medicare patients (mean [SD] age, 69 [11] years), of whom 93 272 (58.2%) were female, 13 799 (8.6%) were Black, 3124 (2.0%) were Hispanic, and 138 311 (86.2%) were White. Among these patients, 12 609 (7.9%) underwent robotic-assisted hernia repairs, 32 337 (20.2%) laparoscopic repairs, and 115 433 (71.9%) open repairs. This study also included 23 580 surgeons, with 5074 performing robotic-assisted hernia repairs. The national reoperation rates for hernia recurrence after laparoscopic and open repairs were 12.5% (95% CI, 12.06%-12.94%) and 12.9% (95% CI, 12.70%-13.15%), respectively. Reoperation rates decreased as the number of robotic-assisted cases increased, from 14.2% (95% CI, 13.34%-14.97%) at 10 cases to 7.6% (95% CI, 6.75-8.37) at 50 cases. Surgeons needed at least 19 (95% CI, 16-22) robotic-assisted hernia repairs or 16 (95% CI, 13-19) repairs to achieve outcomes equivalent to those of laparoscopic and open procedures. Few surgeons (285 surgeons [5.7%]) performed enough robotic-assisted ventral hernia repairs to achieve necessary volume nationally to overcome the learning curve.Conclusions and RelevanceIn this cohort study of 23 580 surgeons who performed ventral hernia repairs between 2010 and 2020, increasing experience with robotic-assisted hernia repairs was associated with improved long-term reoperation rates for hernia recurrence. However, the majority of surgeons did not perform enough cases to reach reoperation rates equivalent to more established laparoscopic and open approaches.
ImportanceComponent separation is a reconstructive technique used to facilitate midline closure of large or complex ventral hernias. Despite a contemporary surge in popularity, the incidence and long-term outcomes after component separation remain unknown.ObjectiveTo evaluate the incidence and long-term outcomes of component separation for abdominal wall hernia repair.Design, Setting, and ParticipantsThis cohort study examined 100% Medicare administrative claims data from January 1, 2007, to December 31, 2021. Participants were adults (aged ≥18 years) who underwent elective inpatient ventral hernia repair. Data were analyzed from January through June 2024.ExposureUse of component separation technique during ventral hernia repair.Main Outcomes and MeasuresThe primary outcomes were the incidence of component separation over time and operative recurrence rates up to 10 years after surgery for hernia repairs with and without component separation. The secondary outcome was rate of operative recurrence after component separation stratified by surgeon volume.ResultsAmong 218 518 patients who underwent ventral hernia repair, the mean (SD) age of the cohort was 69.1 (10.9) years; 127 857 patients (58.5%) were female and 90 661 (41.5%) male. A total of 23 768 individuals had component separation for their abdominal wall hernia repair. The median (IQR) follow-up time after the index hernia surgery was 7.2 (2.7-10) years. Compared with patients who did not have a component separation, patients undergoing repair with component separation were slightly younger; more likely to be male; and more likely to have comorbidities, including obesity, and had surgeries that were more likely to be performed open and use mesh. Proportional use of component separation increased from 1.6% of all inpatient hernia repairs in 2007 (279 patients) to 21.4% in 2021 (1569 patients). The 10-year adjusted operative recurrence rate after component separation was lower (11.2%; 95% CI, 11.0%-11.3%) when compared with hernia repairs performed without component separation (12.9%; 95% CI, 12.8%-13.0%; P = .003). Operative recurrence was lower for the top 5% of surgeons by component separation volume (11.9%; 95% CI, 11.8%-12.1%) as opposed to the bottom 95% of surgeons by volume (13.6%; 95% CI, 13.4%-13.7%; P = .004).Conclusions and RelevanceThis study found that component separation was associated with a protective effect on long-term operative recurrence after ventral hernia repair among Medicare beneficiaries, which is somewhat unexpected given the intent of its use for higher complexity hernias. Surgeon volume, while significant, had only a minor influence on operative recurrence rates.
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