Hospital academic status and value of care for nonmetastatic colon cancer

The Influence of Hospital Characteristics on Patient Survival in Surgically Managed Metastatic Disease of Bone: An Analysis of the SEER-Medicare Linked Database

OBJECTIVES

We investigated whether patients receiving surgical treatment for metastatic disease of bone (MDB) at hospitals with higher volume, medical school affiliation, or Commission on Cancer accreditation have superior outcomes.

MATERIALS AND METHODS

Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified 9413 patients surgically treated for extremity MDB between 1992 and 2014 at the age of 66 years or older. Cox proportional hazards models were used to calculate the hazards ratios (HR) for 90-day and 1-year mortality and 30-day readmission according to the characteristics of the hospital where bone surgery was performed.

RESULTS

We observed no notable differences in 90-day mortality, 1-year mortality, or 30-day readmission associated with hospital volume. Major medical school affiliation was associated with lower 90-day (HR: 0.88, 95% confidence interval [CI]: 0.80-0.96) and 1-year (HR: 0.92, 95% CI: 0.87-0.99) mortality after adjustments for demographic and tumor characteristics. Surgical treatment at Commission on Cancer accredited hospitals was associated with significantly higher risk of death at 90 days and 1 year after the surgery. This effect appeared to be driven by lung cancer patients (1-year HR: 1.17, 95% CI: 1.07-1.27).

CONCLUSIONS

Our findings suggest surgical management of MDB at lower-volume hospitals does not compromise survival or readmissions. There may be benefit to referral or consultation with an academic medical center in some tumor types or clinical scenarios.

Risk Adjustment in the California Joint Replacement Registry: Is Patient Complexity Accurately Assessed in Academic Versus Nonacademic Hospitals?

BACKGROUND

We sought to report on the differences in observed versus expected arthroplasty outcomes between academic and nonacademic hospitals in a large joint registry. We utilized the California Joint Replacement Registry's data and risk adjustment model.

METHODS

Observed versus expected hip and knee arthroplasty complications were utilized to assess hospital and surgeon risk-adjusted complication rates (RACRs). Based on a hospital and surgeon RACR, each was assigned a performance rating ("worse," "expected," "better"). Associations between academic status and performance ratings, rates of individual complications, prevalence of risk factors associated with increased complication rates, and differences in complication rates were calculated.

RESULTS

A higher percentage of academic providers had "worse" than expected ratings, whereas a higher percentage of nonacademic providers had "expected" and "better" than expected ratings (P = .011) based on the observed versus expected complication rates. There was a higher incidence of patients with congestive heart failure and an elevated American Society of Anesthesiologists classification in academic institutions (P = .0001). The complication rate was higher in academic institutions for all total knee arthroplasties (P < .0016).

CONCLUSIONS

We identified disparities in RACRs between nonacademic and academic institutions. This may reflect the difficulty of fully adjusting for medical risk and surgical complexity in a large arthroplasty database.

Effect of a Collaboration Between a Health Plan, Oncology Practice, and Comprehensive Genomic Profiling Company from the Payer Perspective

BACKGROUND

Comprehensive genomic profiling (CGP) is a next-generation sequencing-based methodology that detects 4 classes of genomic alterations, as well as gene signature biomarkers such as microsatellite instability and tumor mutational burden. In the context of precision oncology, CGP can help to direct treatment to genomically matched therapies.

OBJECTIVE

To describe the results of a 3-year observational analysis of patients undergoing testing with CGP assays (either FoundationOne or FoundationOne Heme) at a community oncology practice after a regional health plan implemented a medical policy that enabled coverage of CGP.

METHODS

A retrospective analysis of medical records was completed at the oncology practice from November 2013 to January 2017; this date range was chosen to coincide with the regional health plan's medical policy implementation of CGP. The medical policy provided coverage of CGP for patients with advanced solid and hematologic cancers. A medical record review assessed all previous and current molecular test results, matched therapy or clinical trial enrollment, and clinical outcomes (clinical benefit or disease progression). The potential cost diversion, from payer to study sponsor, for patients who enrolled in clinical trials was explored.

RESULTS

There were 96 patients in the community oncology practice who received CGP over the 3-year period, 86 of whom had clinically relevant genomic alterations. Of the 86, 15 patients were treated with genomically matched therapy, and 6 patients enrolled in clinical trials based on CGP results. In a subset of 32 patients who previously underwent conventional testing, most (84%) had clinically relevant genomic alterations detected by CGP that conventional testing did not identify, and a portion of these patients subsequently received treatment based on the CGP results. In the separate cost diversion analysis of 20 patients who enrolled in phase 1 clinical trials, an estimated $25,000 per-patient cost-benefit may have been accrued to the payer.

CONCLUSIONS

This observational analysis characterized the use of CGP in a large community oncology practice among a group of patients insured by a regional health plan. Clinical trial enrollment was facilitated by CGP use in the community setting and may have contributed to cost diversion from the payer to study sponsors.

DISCLOSURES

No separate study-related funding was provided by or to Priority Health, Foundation Medicine, and Cancer and Hematology Centers of West Michigan. Data analysis by Reitsma was conducted as part of an internship funded by Priority Health. Reitsma and Fox are employed by Priority Health. Anhorn, Vanden Borre, Cavanaugh, Chudnovsky, and Erlich are employed by Foundation Medicine.

Association between physician characteristics and the use of 21-gene recurrence score genomic testing among Medicare beneficiaries with early-stage breast cancer, 2008-2011

PURPOSE

We sought to determine whether physician-level characteristics were associated with 21-gene recurrence score (RS) genomic testing to evaluate recurrence risk and benefit of adjuvant chemotherapy in patients with estrogen receptor-positive, node-negative breast cancer.

METHODS

Retrospective cohort study of a nationally representative sample of Medicare beneficiaries using Surveillance, Epidemiology, and End Results program-Medicare data linked with the American Medical Association physician master file. The main outcome was receipt of genomic testing within 1 year of diagnosis as a function of physician-level factors.

RESULTS

A total of 24,463 patients met the study criteria; they received care from 3172 surgeons and 2475 medical oncologists. Of 4124 tests ordered, 70% were ordered by a medical oncologist and 16% by a surgeon. In multivariable regression models, multiple variables were associated with receipt of testing, including having a medical oncologist (odds ratio [OR] 2.77; 95% CI 2.00-3.82), a surgeon specializing in surgical oncology (OR 1.20; 95% CI 1.09-1.31), and a female medical oncologist (OR 1.10; 95% CI 1.02-1.20). Having a medical oncologist with 5 or more years in practice was associated with lower odds of testing (OR 0.83; 95% CI 0.76-0.92). Surgical procedures performed at academic centers were associated with higher odds of testing (OR 1.11; 95% CI 1.02-1.20).

CONCLUSIONS

Although most RS testing was ordered by medical oncologists, physicians in other specialties ordered roughly one-third of the tests. Physician characteristics, including gender and time in practice, were associated with receiving testing, creating opportunities for targeting interventions to help patients receive optimal care.