Search

PURPOSE Surgical resection remains the cornerstone of retroperitoneal soft tissue sarcoma (RPS) treatment. Patient- and sarcoma-related factors are well known to influence survival outcomes. The effect of hospital-related factors on long-term survival, however, are not well understood. We sought to assess the relative contribution of hospital-level factors to mortality after surgical treatment of RPS. METHODS AND MATERIALS The 2004-2015 National Cancer Database was used to identify 10,113 patients who underwent surgical treatment of RPS. Patient-, sarcoma-, hospital-, and treatment-level factors were compared by increasing survival times. Stepwise multivariable Cox regression was performed that controlled for covariates to measure the relative contributions of these factors on overall survival (OS). Effect modification analyses ascertained how hospital type modulates the volume relationship with respect to RPS mortality. RESULTS Factors predictive of worsening OS were older age, nonprivate insurance, low income, presence of comorbidities, tumor histology, high grade or stage, and R2 resection (for all, 푃 < .05). Increasing hospital surgical volume predicted decreasing risk of death across all survival times. However, analysis by hospital type demonstrated that compared with academic centers, the risk of death at community centers increased significantly as surgical volume increased (hazard ratio, 1.26; 95% CI, 1.03 to 1.53). CONCLUSION Hospital factors affect mortality after surgical treatment of RPS. Specifically, hospital type alters the surgical volume-outcome relationship for RPS mortality such that community centers perform worse with increasing volumes. Recommendations that higher surgical volume improves outcomes cannot be applied universally and must be re-examined in other complex surgical cancers. [ABSTRACT FROM AUTHOR]

Background Regionalization of complex surgeries has increased patient travel distances possibly leaving a substantial burden on those at risk for poorer surgical outcomes. To date, little is known about travel patterns of cancer surgery patients in regionalized settings. To inform this issue, we sought to assess travel patterns of those undergoing a major cancer surgery within a regionalized system. Materials and methods We identified 4733 patients who underwent lung, esophageal, gastric, liver, pancreatic, and colorectal resections from 2002–2014 within a multihospital system in the Mid-Atlantic region of the United States. Patient age, race and/or ethnicity, and insurance status were extracted from electronic health records. We used Geographical Information System capabilities in R software to estimate travel distance and map patient addresses based on cancer surgery type and these characteristics. We used visual inspection, analysis of variance, and interaction analyses to assess the distribution of travel distances between patient populations. Results A total of 48.2% of patients were non-white, 49.9% were aged >65 y, and 54.9% had private insurance. Increased travel distance was associated with decreasing age and those undergoing pancreatic and esophageal resections. Also, black patients tend to travel shorter distances than other racial and/or ethnic groups. Conclusions These maps offer a preliminary understanding into variations of geospatial travel patterns among patients receiving major cancer surgery in a Mid-Atlantic regionalized setting. Future research should focus on the impact of regionalization on timely delivery of surgical care and other quality metrics. [ABSTRACT FROM AUTHOR]

Background: Although the Affordable Care Act (ACA) expanded Medicaid access, it is unknown whether this has led to greater access to complex surgical care. Evidence on the effect of Medicaid expansion on access to surgical cancer care, a proxy for complex care, is sparse. Using New York's 2001 statewide Medicaid expansion as a natural experiment, we investigated how expansion affected use of surgical cancer care among beneficiaries overall and among racial minorities.Study Design: From the New York State Inpatient Database (1997 to 2006), we identified 67,685 nonelderly adults (18 to 64 years of age) who underwent cancer surgery. Estimated effects of 2001 Medicaid expansion on access were measured on payer mix, overall use of surgical cancer care, and percent use by racial/ethnic minorities. Measures were calculated quarterly, adjusted for covariates when appropriate, and then analyzed using interrupted time series.Results: The proportion of cancer operations paid by Medicaid increased from 8.9% to 15.1% in the 5 years after the expansion. The percentage of uninsured patients dropped by 21.3% immediately after the expansion (p = 0.01). Although the expansion was associated with a 24-case/year increase in the net Medicaid case volume (p < 0.0001), the overall all-payer net case volume remained unchanged. In addition, the adjusted percentage of ethnic minorities among Medicaid recipients of cancer surgery was unaffected by the expansion.Conclusions: Pre-ACA Medicaid expansion did not increase the overall use or change the racial composition of beneficiaries of surgical cancer care. However, it successfully shifted the financial burden away from patient/hospital to Medicaid. These results might suggest similar effects in the post-ACA Medicaid expansion. [ABSTRACT FROM AUTHOR]

Background: Despite national emphasis on care coordination, little is known about how fragmentation affects cancer surgery outcomes. Our study examines a specific form of fragmentation in post-discharge care-readmission to a hospital different from the location of the operation-and evaluates its causes and consequences among patients readmitted after major cancer surgery.Study Design: We used the State Inpatient Database of California (2004 to 2011) to identify patients who had major cancer surgery and their subsequent readmissions. Logistic models were used to examine correlates of non-index readmissions and to assess associations between location of readmission and outcomes, measured by in-hospital mortality and repeated readmission.Results: Of 9,233 readmissions within 30 days of discharge after major cancer surgery, 20.0% occurred in non-index hospitals. Non-index readmissions were associated with emergency readmission (odds ratio [OR] = 2.63; 95% CI, 2.26-3.06), rural residence (OR = 1.81; 95% CI, 1.61-2.04), and extensive procedures (eg hepatectomy vs proctectomy; OR = 2.77; CI, 2.08-3.70). Mortality was higher during non-index readmissions than index readmissions independent of patient, procedure, and hospital factors (OR = 1.31; 95% CI, 1.03-1.66), but was mitigated by adjusting for conditions present at readmission (OR = 1.24; 95% CI, 0.98-1.58). Non-index readmission predicted higher odds of repeated readmission within 60 days of discharge from the first readmission (OR = 1.16; 95% CI, 1.02-1.32), independent of all covariates.Conclusions: Non-index readmissions constitute a substantial proportion of all readmissions after major cancer surgery. They are associated with more repeated readmissions and can be caused by severe surgical complications and increased travel burden. Overcoming disadvantages of non-index readmissions represents an opportunity to improve outcomes for patients having major cancer surgery. [ABSTRACT FROM AUTHOR]

Background: Penalties from the Hospital Readmission Reduction Program can push financially strained, vulnerable patient-serving hospitals into additional hardship. In this study, we quantified the association between vulnerable hospitals and readmissions and examined the respective contributions of patient- and hospital-related factors.Methods: A total of 110,857 patients who underwent major cancer operations were identified from the 2004-2011 State Inpatient Database of California. Vulnerable hospitals were defined as either self-identified safety net hospitals (SNHs) or hospitals with a high percentage of Medicaid patients (high Medicaid hospitals [HMHs]). We used multivariable logistic regression to determine the association between vulnerable hospitals and readmission. Patient and hospital contributions to the elevation in odds of readmission were assessed by comparing estimates from models with different subsets of predictors.Results: Of the 355 hospitals, 13 were SNHs and 31 were HMHs. After adjusting for Hospital Readmission Reduction Program variables, SNHs had higher 30-day (odds ratio [OR] = 1.32; 95% CI, 1.18-1.47), 90-day (OR = 1.28; 95% CI, 1.18-1.38), and repeated readmissions (OR = 1.33; 95% CI, 1.18-1.49); HMHs also had higher 30-day (OR = 1.18; 95% CI, 1.05-1.32), 90-day (OR = 1.28; 95% CI, 1.16-1.42), and repeated readmissions (OR = 1.24; 95% CI, 1.01-1.54). Compared with patient characteristics, hospital factors accounted for a larger proportion of the increase in odds of readmission among SNHs (60% to 93% vs 24% to 39%), but a smaller proportion among HMHs (9% to 15% vs 60% to 115%).Conclusions: Vulnerable status of hospitals is associated with higher readmission rates after major cancer surgery. These findings reinforce the call to account for socioeconomic variables in risk adjustments for hospitals who serve a disproportionate share of disadvantaged patients. [ABSTRACT FROM AUTHOR]