Age, race, insurance type, and digital divide index are associated with video visit completion for patients seen for oncologic care in a large hospital system during the COVID-19 pandemic.

INTRODUCTION: The COVID-19 pandemic drove rapid adoption of telehealth across oncologic specialties. This revealed barriers to telehealth access and telehealth-related disparities. We explored disparities in telehealth access in patients with cancer accessing oncologic care. MATERIALS/METHODS: Data for all unique patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019-12/31/2020), including visit type (in-person, video, audio only), age, race, ethnicity, rural/urban (per zip code by Federal Office of Rural Health Policy), distance from medical facility, insurance, and Digital Divide Index (DDI; incorporates technology/internet access, age, disability, and educational attainment metrics by geographic area). Pandemic phases were identified based on visit dynamics. Multivariable logistic regression models were used to examine associations of these variables with successful video visit completion. RESULTS: Data were available for 2,398,633 visits for 516,428 patients across all specialties. Among these, there were 253,880 visits from 62,172 patients seen in any oncology clinic. Dramatic increases in telehealth usage were seen during the pandemic (after 3/16/2020). In multivariable analyses, patient age [OR: 0.964, (95% CI 0.961, 0.966) P<0.0001], rural zip code [OR: 0.814 (95% CI 0.733, 0.904) P = 0.0001], Medicaid enrollment [OR: 0.464 (95% CI 0.410, 0.525) P<0.0001], Medicare enrollment [OR: 0.822 (95% CI 0.761, 0.888) P = 0.0053], higher DDI [OR: 0.903 (95% CI 0.877, 0.930) P<0.0001], distance from the facility [OR: 1.028 (95% CI 1.021, 1.035) P<0.0001], black race [OR: 0.663 (95% CI 0.584, 0.753) P<0.0001], and Asian race [OR: 1.229 (95% CI 1.022, 1.479) P<0.0001] were associated with video visit completion early in the pandemic. Factors related to video visit completion later in the pandemic and within sub-specialties of oncology were also explored. CONCLUSIONS: Patients from older age groups, those with minority backgrounds, and individuals from areas with less access to technology (high DDI) as well as those with Medicare or Medicaid insurance were less likely to use video visits. With greater experience through the pandemic, disparities were not mitigated. Further efforts are required to optimize telehealth to benefit all patients and avoid increasing disparities in care delivery.

Association Between Delivery System Structure and Intensity of End-of-Life Cancer Care.

PURPOSE: To determine whether the type of delivery system is associated with intensity of care at the end of life for Medicare beneficiaries with cancer. PATIENTS AND METHODS: We used SEER registry data linked with Medicare claims to evaluate intensity of end-of-life care for patients who died of one of ten common cancers diagnosed from 2009 through 2014. Patients were categorized as receiving the majority of their care in an integrated delivery system, designated cancer center, health system that was both integrated and a certified cancer center, or health system that was neither. We evaluated adherence to seven nationally endorsed end-of-life quality measures using generalized linear models across four delivery system types. RESULTS: Among 100,549 beneficiaries who died of cancer during the study interval, we identified only modest differences in intensity of end-of-life care across delivery system structures. Health systems with no cancer center or integrated affiliation demonstrated higher proportions of patients with multiple hospitalizations in the last 30 days of life (11.3%), death in an acute care setting (25.9%), and lack of hospice use in the last year of life (31.6%; all P < .001). Patients enrolled in hospice had lower intensity care across multiple end-of-life quality measures. CONCLUSION: Intensity of care at the end of life for patients with cancer was higher at delivery systems with no integration or cancer focus. Maximal supportive care delivered through hospice may be one avenue to reduce high-intensity care at the end of life and may impact quality of care for patients dying from cancer.

Variation in payments for spine surgery episodes of care: implications for episode-based bundled payment.

OBJECTIVE Spine surgery is expensive and marked by high variation across regions and providers. Bundled payments have potential to reduce unwarranted spending associated with spine surgery. This study is a cross-sectional analysis of commercial and Medicare claims data from January 2012 through March 2015 in the state of Michigan. The objective was to quantify variation in payments for spine surgery in adult patients, document sources of variation, and determine influence of patient-level, surgeon-level, and hospital-level factors. METHODS Hierarchical regression models were used to analyze contributions of patient-level covariates and influence of individual surgeons and hospitals. The primary outcome was price-standardized 90-day episode payments. Intraclass correlation coefficients-measures of variability accounted for by each level of a hierarchical model-were used to quantify sources of spending variation. RESULTS The authors analyzed 17,436 spine surgery episodes performed by 195 surgeons at 50 hospitals. Mean price-standardized 90-day episode payments in the highest spending quintile exceeded mean payments for episodes in the lowest cost quintile by $42,953 (p < 0.001). Facility payments for index admission and post-discharge payments were the greatest contributors to overall variation: 39.4% and 32.5%, respectively. After accounting for patient-level covariates, the remaining hospital-level and surgeon-level effects accounted for 2.0% (95% CI 1.1%-3.8%) and 4.0% (95% CI 2.9%-5.6%) of total variation, respectively. CONCLUSIONS Significant variation exists in total episode payments for spine surgery, driven mostly by variation in post-discharge and facility payments. Hospital and surgeon effects account for relatively little of the observed variation.

Effects of the Medicare Modernization Act on Spending for Outpatient Surgery.

OBJECTIVES: To examine the effects of Medicare's revised ambulatory surgery center (ASC) payment schedule on overall payments for outpatient surgery. DATA SOURCES: Twenty percent sample of national Medicare beneficiaries. STUDY DESIGN: We conducted a pre-post study of Medicare beneficiaries who underwent outpatient surgery in a hospital outpatient department (HOPD), ASC, or physician office between 2004 and 2011. Specifically, we used multivariable regression to compare temporal trends in outpatient surgery before and after implementation of Medicare's revised payment schedule in 2008, which reduced ASC facility payments to roughly two-thirds that of HOPDs. Our outcome measures included overall Medicare payments, utilization rates, per beneficiary spending, and average episode payments for outpatient surgery. PRINCIPAL FINDINGS: Between the last quarters of 2007 and 2008, overall Medicare payments for outpatient surgery grew by $334 million-an amount nearly three times higher than would have been expected without the policy change (p < .001 for the difference). While utilization rates of outpatient surgery were attenuated, per beneficiary spending and average surgical episode payments increased by 10.4 percent and 7.8 percent, respectively, over the same period. By the end of 2011, Medicare payments for outpatient surgery reached $5.1 billion. Without the policy change, they would have totaled only $4.1 billion. CONCLUSIONS: Despite lessening demand, reduced ASC facility payments did not curb spending for outpatient surgery. In fact, overall payments actually increased following the policy change, driven by higher average episode payments.

Risk Adjustment May Lessen Penalties On Hospitals Treating Complex Cardiac Patients Under Medicare's Bundled Payments.

To reduce variation in spending, Medicare has considered implementing a cardiac bundled payment program for acute myocardial infarction and coronary artery bypass graft. Because the proposed program does not account for patient risk factors when calculating hospital penalties or rewards ("reconciliation payments"), it might unfairly penalize certain hospitals. We estimated the impact of adjusting for patients' medical complexity and social risk on reconciliation payments for Medicare beneficiaries hospitalized for the two conditions in the period 2011-13. Average spending per episode was $29,394. Accounting for medical complexity substantially narrowed the gap in reconciliation payments between hospitals with high medical severity (from a penalty of $1,809 to one of $820, or a net reduction of $989), safety-net hospitals (from a penalty of $217 to one of $87, a reduction of $130), and minority-serving hospitals (from a penalty of $70 to a reward of $56, an improvement of $126) and their counterparts. Accounting for social risk alone narrowed these gaps but had minimal incremental effects after medical complexity was accounted for. Risk adjustment may preserve incentives to care for patients with complex conditions under Medicare bundled payment programs.

Medicare's New Bundled Payment For Joint Replacement May Penalize Hospitals That Treat Medically Complex Patients.

In an effort to reduce episode payment variation for joint replacement at US hospitals, the Centers for Medicare and Medicaid Services (CMS) recently implemented the Comprehensive Care for Joint Replacement bundled payment program. Some stakeholders are concerned that the program may unintentionally penalize hospitals because it lacks a mechanism (such as risk adjustment) to sufficiently account for patients' medical complexity. Using Medicare claims for patients in Michigan who underwent lower extremity joint replacement in the period 2011-13, we applied payment methods analogous to those CMS intends to use in determining annual bonuses or penalties (reconciliation payments) to hospitals. We calculated the net difference in reconciliation payments with and without risk adjustment. We found that reconciliation payments were reduced by $827 per episode for each standard-deviation increase in a hospital's patient complexity. Moreover, we found that risk adjustment could increase reconciliation payments to some hospitals by as much as $114,184 annually. Our findings suggest that CMS should include risk adjustment in the Comprehensive Care for Joint Replacement program and in future bundled payment programs.

Urologist Participation in Medicare Shared Savings Program Accountable Care Organizations (ACOs).

OBJECTIVE: To understand the current role of urologists in Medicare Shared Savings Program (MSSP) Accountable Care Organizations (ACOs) and the organizational characteristics of ACOs with participating urologists. MATERIALS AND METHODS: Using 2012-2013 Medicare data and the National Provider Identifier Database, we classified each urologist in the U.S. and Puerto Rico as either an MSSP ACO participant or nonparticipating provider. We then examined the distribution of ACO-participating urologists across the U.S. and among the first 220 MSSP ACOs. We also compared the characteristics of ACOs with and without participating urologists. RESULTS: Among 11,084 identified urologists, 1118 (10%) were MSSP ACO participants. ACO-participating urologists practiced more frequently in the Northeast and Midwest (P < .001), and were more commonly female (10% vs 8%, P = .003). At an organizational level, only 110 (50%) of the initial MSSP ACOs included at least one urologist; among this group, the number of participating urologists ranged from 1 to 55. ACOs with one or more participating urologist were larger organizations, with respect to both the number of assigned beneficiaries and the number of providers per 1000 beneficiaries (P < .001 for each comparison). The patient populations served by ACOs with and without urologists were similar (P > .05 for each comparison). CONCLUSION: A modest percentage of urologists participate in MSSP ACOs, although many of these organizations still lack any formal involvement by urological surgeons. Without such participation, improving the coordination, quality, and cost of urologic care for Medicare beneficiaries may be more challenging.

Understanding pre-enrollment surgical outcomes for hospitals participating in Medicare Accountable Care Organizations.

BACKGROUND: To anticipate the effects of accountable care organizations (ACOs) on surgical care, we examined pre-enrollment utilization, outcomes, and costs of inpatient surgery among hospitals currently enrolled in Medicare ACOs vs nonenrolling facilities. METHODS: Using the Nationwide Inpatient Sample (2007 to 2011), we compared patient and hospital characteristics, distributions of surgical specialty care, and the most common inpatient surgeries performed between ACO-enrolling and nonenrolling hospitals before implementation of Medicare ACOs. We used multivariable regression to compare pre-enrollment inpatient mortality, length of stay (LOS), and costs. RESULTS: Hospitals now participating in Medicare ACO programs were more frequently nonprofit (P < .001) and teaching institutions (P = .01) that performed more specialty procedures (P < .001). We observed no clinically meaningful pre-enrollment differences for inpatient mortality, prolonged length of stay, or costs for procedures performed at ACO-enrolling vs nonenrolling hospitals. CONCLUSIONS: Medicare ACO hospitals had pre-enrollment outcomes that were similar to nonparticipating facilities. Future studies will determine whether ACO participation yields differential changes in surgical quality or costs.

Understanding Inpatient Cost Variation in Kidney Transplantation: Implications for Payment Reforms.

OBJECTIVE: To examine the magnitude and sources of inpatient cost variation for kidney transplantation. METHODS: We used the 2005-2009 Nationwide Inpatient Sample to identify patients who underwent kidney transplantation. We first calculated the patient-level cost of each transplantation admission and then aggregated costs to the hospital level. We fit hierarchical linear regression models to identify sources of cost variation and to estimate how much unexplained variation remained after adjusting for case-mix variables commonly found in administrative datasets. RESULTS: We identified 8866 living donor (LDRT) and 5589 deceased donor (DDRT) renal transplantations. We found that higher costs were associated with the presence of complications (LDRT, 14%; P <.001; DDRT, 24%; P <.001), plasmapheresis (LDRT, 27%; P <.001; DDRT, 27%; P <.001), dialysis (LDRT, 4%; P <.001), and prolonged length of stay (LDRT, 84%; P <.001; DDRT, 82%; P <.001). Even after case-mix adjustment, a considerable amount of unexplained cost variation remained between transplant centers (DDRT, 52%; LDRT, 66%). CONCLUSION: Although significant inpatient cost variation is present across transplant centers, much of the cost variation for kidney transplantation is not explained by commonly used risk-adjustment variables in administrative datasets. These findings suggest that although there is an opportunity to achieve savings through payment reforms for kidney transplantation, policymakers should seek alternative sources of information (eg, clinical registry data) to delineate sources of warranted and unwarranted cost variation.

Insurance Expansion and the Utilization of Inpatient Surgery: Evidence for a "Woodwork" Effect?

INTRODUCTION: The impact of insurance expansion on the currently insured population is largely unknown. We examine rates of elective surgery in previously insured individuals before and after Massachusetts health care reform. METHODS: Using the State Inpatient Databases for Massachusetts and 2 control states (New York and New Jersey) that did not expand coverage, we identified patients aged 69 and older who underwent surgery from January 1, 2003, through December 31, 2010. We studied 5 elective operations (knee and hip replacement, transurethral resection of prostate, inguinal hernia repair, back surgery). We examined statewide utilization rates before and after implementation of health care reform, using a difference-in-differences technique to adjust for secular trends. We also performed subgroup analyses according to race and income strata. RESULTS: We observed no increase in the overall rate of selected discretionary inpatient surgeries in Massachusetts versus control states for the entire population (-1.4%, P = .41), as well as among the white (-1.6%, P = .43) and low-income (-2.2%, P = .26) subgroups. We did, however, find evidence for a woodwork effect in the subgroup of nonwhite elderly patients, among whom the rate of these procedures increased by 20.5% (P = .001). Among nonwhites, the overall result reflected increased utilization of all 5 individual procedures, with statistically significant changes for knee replacement (18%, P < .01), back surgery (18%, P = .05), transurethral resection of the prostate (28%, P = .05), and hernia repair (71%, P = .03). CONCLUSION: Our findings suggest that national insurance expansion may increase the use of elective surgery among subgroups of previously insured patients.

Contemporary national comparison of open, laparoscopic, and robotic-assisted laparoscopic pediatric pyeloplasty.

OBJECTIVE: We sought to determine current and longitudinal trends in the usage of open (OP), laparoscopic (LP), and robotic pyeloplasties. (RALP) Furthermore, we aimed to describe patient and hospital level characteristics associated with the use of minimally invasive pyeloplasties (MIP) and to compare basic utilization metrics for each approach. MATERIALS/METHODS: The 2000, 2003, 2006, and 2009 Kid's Inpatient Databases (KID) were used to determine current and longitudinal trends. As a result of a specific billing code for robotic surgery introduced in 2008, the 2009 KID database was used for analysis of RALP. Patient and hospital characteristics examined included: age, gender, race, insurance status, hospital location, and academic status. Utilization metrics of length of stay (LOS) and cost were determined from each modality. RESULTS: In 2009, there were 3354 pediatric pyeloplasties performed in the USA (85% OP, 3% LP, 12% RP). Compared with 2000, this represents an 11.7% decrease in the overall number of pyeloplasties but a progressive increase in MIP from 0.34% in 2000 to 11.7%. Mean patient age was 3.7 years for OP, 9.3 years for LP and 9.9 years for RALP. MIP was more commonly performed in females, Caucasians, patients with private insurance, at urban hospitals and at teaching hospitals. Although length of stay (LOS) in days was statistically lower for MIP (3.46 OP, 2.86 LP, 1.96 RP, p < 0.001), total cost between the groups was not statistically different. On multivariable logistic regression analysis, age (OR 1.17, p < 0.001) increased the odds of MIP whereas lack of private insurance decreased the odds of MIP (OR 0.62, p = 0.002). CONCLUSION: Although utilization of MIP is increasing in the USA, especially in older children, OP remains predominant. MIP was associated with a decrease in LOS. The odds of MIP were higher in older children, whereas the lack of private insurance decreased the odds of MIP.

Effect of insurance expansion on utilization of inpatient surgery.

IMPORTANCE: Enhanced access to preventive and primary care services is a primary focus of the Affordable Care Act, but the potential effect of this law on surgical care is not well defined. OBJECTIVE: To estimate the differential effect of insurance expansion on utilization of discretionary vs nondiscretionary inpatient surgery with Massachusetts health care reform as a natural experimental condition. DESIGN, SETTING, AND PARTICIPANTS: We used the state inpatient databases from Massachusetts and 2 control states (New Jersey and New York) to identify nonelderly adult patients (aged 19-64 years) who underwent discretionary vs nondiscretionary surgical procedures from January 1, 2003, through December 31, 2010. We defined discretionary surgery as elective, preference-sensitive procedures (eg, joint replacement and back surgery) and nondiscretionary surgery as imperative and potentially life-saving procedures (eg, cancer surgery and hip fracture repair). EXPOSURE: All surgical procedures in the study and control populations. MAIN OUTCOMES AND MEASURES: Using July 1, 2007, as the transition point between the prereform and postreform periods, we performed a difference-in-differences analysis to estimate the effect of insurance expansion on rates of discretionary and nondiscretionary surgical procedures in the entire study population and for subgroups defined by race, income, and insurance status. We then extrapolated our results from Massachusetts to the entire US population. RESULTS: We identified a total of 836 311 surgical procedures during the study period. Insurance expansion was associated with a 9.3% increase in the use of discretionary surgery in Massachusetts (P = .02). Conversely, the rate of nondiscretionary surgery decreased by 4.5% (P = .009). We found similar effects for discretionary surgery in all subgroups, with the greatest increase observed for nonwhite participants (19.9% [P < .001]). Based on the findings in Massachusetts, we estimated that full implementation of national insurance expansion would yield an additional 465 934 discretionary surgical procedures by 2017. CONCLUSIONS AND RELEVANCE: Insurance expansion in Massachusetts was associated with increased rates of discretionary surgery and a concurrent decrease in rates of nondiscretionary surgery. If similar changes are seen nationally under the Affordable Care Act, the value of insurance expansion for surgical care may depend on the relative balance between increased expenditures and potential health benefits of greater access to elective inpatient procedures.

Anticipating the effect of the Patient Protection and Affordable Care Act for patients with urologic cancer.

The Affordable Care Act seeks to overhaul the US health care system by providing insurance for more Americans, improving the quality of health care delivery, and reducing health care expenditures. Although the law's intent is clear, its implementation and effect on patient care remains largely undefined. Herein, we discuss major components of the Affordable Care Act, including the proposed insurance expansion, payment and delivery system reforms (e.g., bundled payments and Accountable Care Organizations), and other reforms relevant to the field of urologic oncology. We also discuss how these proposed reforms may affect patients with urologic cancers.

Proton therapy for prostate cancer online: patient education or marketing?

INTRODUCTION: Proton therapy (PT) for prostate cancer is an expensive treatment with limited evidence of benefit over conventional radiotherapy. We sought to study whether online information on PT for prostate cancer was balanced and whether the website source influenced the content presented. MATERIALS AND METHODS: We applied a systematic search process to identify 270 weblinks associated with PT for prostate cancer, categorized the websites by source, and filtered the results to 50 websites using predetermined criteria. We then used a customized version of the DISCERN instrument, a validated tool for assessing the quality of consumer health information, to evaluate the remaining websites for balance of content and description of risks, benefits and uncertainty. RESULTS: Depending on the search engine and key word used, proton center websites (PCWs) made up 10%-47% of the first 30 encountered links. In comparison, websites from academic and nonacademic medical centers without ownership stake in proton centers appeared much less frequently as a search result (0%-3%). PCWs scored lower on DISCERN questions compared to other sources for being balanced/unbiased (p < 0.001), mentioning areas of uncertainty (p < 0.001), and describing risks of PT (p < 0.001). PCWs scored higher for describing the benefits of treatment (p = 0.003). CONCLUSIONS: Patients should be aware that online information regarding PT for prostate cancer may represent marketing by proton centers rather than comprehensive and unbiased patient education. An awareness of these results will also better prepare clinicians to address the potential biases of patients with prostate cancer who search the Internet for health information.