Intensity of end-of-life care for dual-eligible beneficiaries with cancer and the impact of delivery system affiliation.

BACKGROUND: Dual-eligible beneficiaries, who qualify for Medicare and Medicaid, are a vulnerable population with much to gain from efforts to improve quality. Integrated delivery networks and cancer centers, with their emphasis on care coordination and communication, may improve quality of care for dual-eligible patients with cancer at the end of life. METHODS: This study used Surveillance, Epidemiology, and End Results registry data linked with Medicare claims to evaluate quality for beneficiaries who died of cancer and were diagnosed from 2009 to 2014. High-intensity care was evaluated with 7 end-of-life quality measures according to dual-eligible status with multivariable logistic regression models. Regression-based techniques were used to assess the effect of delivery system affiliation (ie, cancer center or integrated delivery network vs no affiliation). RESULTS: Among 100,549 beneficiaries who died during the study interval, 22% were dually eligible. Inferior outcomes were identified for dual-eligible beneficiaries in comparison with nondual beneficiaries across nearly every quality measure assessed, including >1 hospitalization in the last 30 days (12.6% vs 11.3%; P < .001) and a greater proportion of deaths occurring in a hospital setting (30.2% vs 26.2%; P < .001). Receipt of care in an affiliated delivery system was associated with reduced deaths in a hospital setting and increased hospice utilization for dual-eligible beneficiaries. CONCLUSIONS: Dual-eligible status is associated with higher intensity care at the end of life. Delivery system affiliation has a modest impact on quality at the end of life, and this suggests that targeted efforts may be needed to optimize quality for this group of vulnerable patients.

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.

Adverse Childhood Experiences (ACEs) and Community Physicians: What We've Learned.

INTRODUCTION: The prevalence of childhood trauma, as measured by the Adverse Childhood Experiences (ACE) Study questionnaire, has been studied in a wide variety of community settings. However, little is known about physicians' familiarity with and use of the ACE questionnaire or the prevalence of childhood trauma in the physician community. OBJECTIVE: To survey a convenience sample of community-based physicians and resident physicians to assess for familiarity with and use of the ACE questionnaire in clinical practice and to measure the prevalence of their own ACEs. METHODS: An electronic survey was created and disseminated that included demographic questions, questions about physician awareness and use of the ACE questionnaire in clinical practice, and the 10-point ACE questionnaire. RESULTS: Most physicians surveyed (81%) reported they had never heard of the ACE questionnaire. Even fewer (3%) reported using the questionnaire in clinical practice. Most physicians (55.5%) reported no personal history of ACEs. Physicians reporting a history of childhood trauma reported a wide range of ACE scores (1-9). Compared with men, women reported a statistically higher number of ACEs (p < 0.001). CONCLUSION: In this sample of community physicians, familiarity with and clinical use of the ACE questionnaire was low. Most physicians surveyed reported no personal history of childhood trauma. Of physicians reporting a history of childhood trauma, women were disproportionately affected. Physicians in this study reported a lower prevalence of ACEs than the population they serve. Physicians must become better educated and actively address the effects of ACEs on their patients and on themselves.

Variation in Physician-Specific Episode Payments for Major Cancer Surgery and Implications for the Merit-Based Incentive Program.

BACKGROUND: Nearly 1.5 million clinicians in the United States will be affected by Centers for Medicare and Medicaid Services' (CMS) new payment program, the Merit-based Incentive Program (MIPS), where clinicians will be penalized or rewarded based on the health care expenditures of their patients. We therefore examined expenditures for major cancer surgery to understand physician-specific variation in episode payments. METHODS: We used Surveillance, Epidemiology and End Results-Medicare data to identify patients aged 66-99 y who underwent a prostatectomy, nephrectomy, lung, or colorectal resection for cancer from 2008 to 2012. We calculated 90-d episode payments, attributed each episode to a physician, and evaluated physician-level payment variation. Next, we determined which component (index admission, readmission, physician services, postacute care, hospice) drove differences in payments. Finally, we evaluated payments by geographic region, number of comorbidities, and cancer stage. RESULTS: We identified 39,109 patients who underwent surgery by 1 of 7182 providers. There was wide variation in payments for each procedure (prostatectomy: $7046-$40,687; nephrectomy: $8855-$82,489; lung resection: $11,167-$223,467; colorectal resection: $9711-$199,480). The largest component difference in episode payments varied by condition: physician payments for prostatectomy (29%), postacute care for nephrectomy (38%) and colorectal resections (38%), and index hospital admission for lung resections (43%) but were fairly stable across region, comorbidity number, and cancer stage. CONCLUSIONS: For patients undergoing major cancer surgery, 90-d episode payments vary widely across surgeons. The components driving such variation differ by condition but remain stable across region, number of comorbidities, and cancer stage. These data suggest that programs to reduce specific component payments may have advantages over those targeting individual physicians for decreasing health care expenditures.

Association Between Hospital Participation in Medicare Shared Savings Program Accountable Care Organizations and Readmission Following Major Surgery.

OBJECTIVE: To evaluate the effect of Medicare Shared Savings Program accountable care organizations (ACOs) on hospital readmission after common surgical procedures. SUMMARY BACKGROUND DATA: Hospital readmissions following surgery lead to worse patient outcomes and wasteful spending. ACOs, and their associated hospitals, have strong incentives to reduce readmissions from 2 distinct Centers for Medicare and Medicaid Services policies. METHODS: We performed a retrospective cohort study using a 20% national Medicare sample to identify beneficiaries undergoing 1 of 7 common surgical procedures-abdominal aortic aneurysm repair, colectomy, cystectomy, prostatectomy, lung resection, total knee arthroplasty, and total hip arthroplasty-between 2010 and 2014. The primary outcome was 30-day risk-adjusted readmission rate. We performed difference-in-differences analyses using multilevel logistic regression models to quantify the effect of hospital ACO affiliation on readmissions following these procedures. RESULTS: Patients underwent a procedure at one of 2974 hospitals, of which 389 were ACO affiliated. The 30-day risk-adjusted readmission rate decreased from 8.4% (95% CI, 8.1-8.7%) to 7.0% (95% CI, 6.7-7.3%) for ACO affiliated hospitals (P < 0.001) and from 7.9% (95% CI, 7.8-8.0%) to 7.1% (95% CI, 6.9-7.2%) for non-ACO hospitals (P < 0.001). The difference-in-differences of the 2 trends demonstrated an additional 0.52% (95% CI, 0.97-0.078%) absolute reduction in readmissions at ACO hospitals (P = 0.021), which would translate to 4410 hospitalizations avoided. CONCLUSION: Readmissions following common procedures decreased significantly from 2010 to 2014. Hospital affiliation with Shared Savings ACOs was associated with significant additional reductions in readmissions. This emphasis on readmission reduction is 1 mechanism through which ACOs improve value in a surgical population.

The Stability of Physician-Specific Episode Costs for Urologic Cancer Surgery: Implications for Urologists Under the Merit-Based Incentive Program.

OBJECTIVE: To evaluate the stability of physician-specific episode payments for prostatectomy, nephrectomy, and cystectomy in the context of value-based purchasing programs, such as the merit-based incentive payment system. METHODS: We utilized Surveillance, Epidemiology and End Results-Medicare data to identify patients aged 66-99 who underwent a prostatectomy, nephrectomy, or cystectomy from 2008 to 2012. We calculated each surgeon's average 90-day episode payment by procedure. Next, we examined payment differences between the most and least expensive quartile providers. For the most expensive quartile of physicians in 2010, we examined their spending quartile in 2011. Finally, we evaluated the correlation in spending over time and across procedures. RESULTS: We identified 14,585 patients who underwent surgery by one of 1895 unique clinicians. Differences in payments between the highest and lowest quartiles were $5881, $17,714, and $40,288 for prostatectomy, nephrectomy, and cystectomy, respectively. Only 39%, 16%, and 13% of physicians that were in the highest spending quartile for prostatectomy, nephrectomy, and cystectomy in 2010 were also in the most expensive quartile in 2011. Although we observed weak correlation in year-to-year spending for prostatectomy (0.108, P = .033 to .270, P < .001), annual payments for nephrectomy and cystectomy were not significantly correlated. Finally, there was minimal correlation in surgeon spending across procedures. CONCLUSION: There is wide variation in physician-specific episode payments for prostatectomy, nephrectomy, and cystectomy. However, physician spending patterns are not stable over time or across procedures, raising concerns about the ability of the cost-based measures in merit-based incentive payment system to change physician behavior and reliably distinguish those providing less efficient or lower quality care.

Medicare Accountable Care Organizations and Use of Potentially Low-Value Procedures.

OBJECTIVE: To evaluate the effect of Accountable Care Organizations (ACOs) on the use of vertebroplasty and arthroscopic partial meniscectomy, 2 procedures for which randomized controlled trials suggest similar outcomes to sham surgery and therefore may provide low value. Medicare Shared Savings Program ACOs aim to improve quality and decrease health care spending. Reducing the use of potentially low-value procedures can accomplish both of these goals. METHODS: We performed a retrospective cohort study of patients who underwent potentially low-value orthopedic procedures (vertebroplasty and partial meniscectomy) and a control (hip fracture) from 2010 to 2015 using a 20% sample of national Medicare claims. We performed an interrupted time-series analysis using linear spline models to evaluate the count of each procedure per 1000 patients, stratified by ACO participation. RESULTS: We identified 76 256 patients who underwent arthroscopic partial meniscectomy, 44 539 patients who underwent vertebroplasty, and 50 760 patients who underwent hip fracture admission. Arthroscopic partial meniscectomy rates decreased, vertebroplasty rates remained stable, and hip fracture rates increased for both groups during the study period, with similar trends among ACO and non-ACO patients. After January 1, 2013, ACO and non-ACO populations had similar trends for vertebroplasty (ACO incidence rate ratio [IRR] = 1.15 [1.08-1.23] vs non-ACO IRR = 1.11 [1.05-1.16]), meniscectomy (ACO IRR = 1.06 [1.01-1.12] vs non-ACO IRR = 1.03 [0.99-1.07]), and hip fracture (ACO IRR = 1.08 [1.01-1.14] vs non-ACO IRR = 1.08 [1.03-1.13]). CONCLUSIONS: ACOs were not associated with a reduction in the frequency of vertebroplasty and arthroscopic partial meniscectomy.

National Trends in Active Surveillance for Prostate Cancer: Validation of Medicare Claims-based Algorithms.

OBJECTIVE: To better describe the real-world use of active surveillance. Active surveillance is a preferred management option for low-risk prostate cancer, yet its use outside of high-volume institutions is poorly understood. We created multiple claims-based algorithms, validated them using a robust clinical registry, and applied them to Medicare claims to describe national utilization. MATERIALS AND METHODS: We identified men with prostate cancer from 2012-2014 in a 100% sample of Michigan Medicare data and linked them with the Michigan Urologic Surgery Improvement Collaborative (MUSIC) registry. Using MUSIC treatment assignment as the standard, we determined the performance of 8 claims-based algorithms to identify men on active surveillance. We selected 3 algorithms (the most sensitive, the most specific, and a balanced algorithm incorporating age and comorbidity) and applied them to a 20% national Medicare sample to describe national trends. RESULTS: We identified 1186 men with incident prostate cancer and completely linked data. Eight algorithms were tested with sensitivity ranging from 23.5% to 88.2% and specificity ranging from 93.5% to 99.1%. We found that the use of surveillance for men with incident prostate cancer increased from 2007 to 2014, nationally. However, among all men in the population, there was a large decrease in the rate of prostate cancer diagnosis and an increased or stable rate in the use of active surveillance, depending on the algorithm used. Less than 25% of men on active surveillance underwent a confirmatory prostate biopsy. CONCLUSION: We describe the performance of claims-based algorithms to identify active surveillance.

Variation in prostate cancer treatment and spending among Medicare shared savings program accountable care organizations.

BACKGROUND: Accountable care organizations (ACOs) have been shown to reduce prostate cancer treatment among men unlikely to benefit because of competing risks (ie, potential overtreatment). This study assessed whether the level of engagement in ACOs by urologists affected rates of treatment, overtreatment, and spending. METHODS: A 20% sample of national Medicare data was used to identify men diagnosed with prostate cancer between 2012 and 2014. The extent of urologist engagement in an ACO, as measured by the proportion of patients in an ACO managed by an ACO-participating urologist, served as the exposure. The use of treatment, potential overtreatment (ie, treatment in men with a ≥75% risk of 10-year noncancer mortality), and average payments in the year after diagnosis for each ACO were modeled. RESULTS: Among 2822 men with newly diagnosed prostate cancer, the median rates of treatment and potential overtreatment by an ACO were 71.3% (range, 23.6%-79.5%) and 53.6% (range, 12.4%-76.9%), respectively. Average Medicare payments among ACOs in the year after diagnosis ranged from $16,523.52 to $34,766.33. Stronger urologist-ACO engagement was not associated with treatment (odds ratio, 0.87; 95% confidence interval, 0.6-1.2; P = .4) or spending (9.7% decrease in spending; P = .08). However, urologist engagement was associated with a lower likelihood of potential overtreatment (odds ratio, 0.29; 95% confidence interval, 0.1-0.86; P = .03). CONCLUSIONS: ACOs vary widely in treatment, potential overtreatment, and spending for prostate cancer. ACOs with stronger urologist engagement are less likely to treat men with a high risk of noncancer mortality, and this suggests that organizations that better engage specialists may be able to improve the value of specialty care. Cancer 2018. © 2018 American Cancer Society.

Exploring the Healthcare Value of Percutaneous Coronary Intervention: Appropriateness, Outcomes, and Costs in Michigan Hospitals.

BACKGROUND: Assessments of healthcare value have largely focused on measuring outcomes of care at a given level of cost with less attention paid to appropriateness. However, understanding how appropriateness relates to outcomes and costs is essential to determining healthcare value. METHODS AND RESULTS: In a retrospective cohort study design, administrative data from fee-for-service Medicare patients undergoing percutaneous coronary intervention (PCI) in Michigan hospitals between June 30, 2010, and December 31, 2014, were linked with clinical data from a statewide PCI registry to calculate hospital-level measures of (1) appropriate use criteria scores, (2) 90-day risk-standardized readmission and mortality rates, and (3) 90-day risk-standardized episode costs. We then used Spearman correlation coefficients to assess the relationship between these measures. A total of 29 839 PCIs were performed at 33 PCI hospitals during the study period. A total of 13.3% were for ST-segment-elevation myocardial infarction, 25.0% for non-ST-segment-elevation myocardial infarction, 47.1% for unstable angina, 9.8% for stable angina, and 4.7% for other. The overall hospital-level mean appropriate use criteria score was 8.4±0.2. Ninety-day risk-standardized readmission occurred in 23.7%±3.7% of cases, 90-day risk-standardized mortality in 4.3%±0.6%, and mean risk-standardized episode costs were $26 159±$1074. Hospital-level appropriate use criteria scores did not correlate with 90-day readmission, mortality, or episode costs. CONCLUSIONS: Among Medicare patients undergoing PCI in Michigan, we found hospital-level appropriate use criteria scores did not correlate with 90-day readmission, mortality, or episode costs. This finding suggests that a comprehensive understanding of healthcare value requires multidimensional consideration of appropriateness, outcomes, and costs.

Impact of Accountable Care Organizations on Diagnostic Testing for Prostate Cancer.

OBJECTIVE: To determine if Accountable Care Organizations (ACOs) have the potential to accelerate the impact of prostate cancer screening recommendations. METHODS: We performed a retrospective cohort study using Medicare data evaluating the rates of PSA testing and prostate biopsy among men without prostate cancer between 2011 and 2014. We assessed PSA testing and biopsy rates before and after policy implementation among patients of ACO and non-ACO-aligned physicians. To control for secular trends, difference-in-differences methods were used to determine the effects of ACO implementation. RESULTS: We identified 1.1 million eligible men without prostate cancer. From 2011 to 2014, the rates of PSA testing and biopsy declined by 22.3% and 7.0%, respectively. PSA testing declined similarly regardless of ACO participation-from 618 to 530 tests per 1000 beneficiaries among ACO-aligned physicians and from 607 to 516 tests per 1000 beneficiaries among non-ACO-aligned physicians (difference-in-differences P = .11). Whereas rates of prostate biopsy remained constant for patients of non-ACO-aligned physicians at 12 biopsies per 1000 beneficiaries, these rates increased from 11.6 to 12.5 biopsies per 1000 beneficiaries of patients of ACO-aligned physicians (difference-in-differences P = .03). CONCLUSION: PSA testing and prostate biopsy rates decreased significantly between 2011 and 2014. The rate of PSA testing was not differentially affected by ACO participation. Conversely, there was an increase in the rate of prostate biopsy among patients of ACO-aligned physicians. ACOs did not accelerate deimplementation of PSA testing for eligible Medicare beneficiaries without prostate cancer.

Costs of Cancer Care Across the Disease Continuum.

PURPOSE: The aim of this study was to estimate Medicare payments for cancer care during the initial, continuing, and end-of-life phases of care for 10 malignancies and to examine variation in expenditures according to patient characteristics and cancer severity. MATERIALS AND METHODS: We used linked Surveillance, Epidemiology and End Results-Medicare data to identify patients aged 66-99 years who were diagnosed with one of the following 10 cancers: prostate, bladder, esophageal, pancreatic, lung, liver, kidney, colorectal, breast, or ovarian, from 2007 through 2012. We attributed payments for each patient to a phase of care (i.e., initial, continuing, or end of life), based on time from diagnosis until death or end of study interval. We summed payments for all claims attributable to the primary cancer diagnosis and analyzed the overall and phase-based costs and then by differing demographics, cancer stage, geographic region, and year of diagnosis. RESULTS: We identified 428,300 patients diagnosed with one of the 10 malignancies. Annual payments were generally highest during the initial phase. Mean expenditures across cancers were $14,381 during the initial phase, $2,471 for continuing, and $13,458 at end of life. Payments decreased with increasing age. Black patients had higher payments for four of five cancers with statistically significant differences. Stage III cancers posed the greatest annual cost burden for four cancer types. Overall payments were stable across geographic region and year. CONCLUSION: Considerable differences exist in expenditures across phases of cancer care. By understanding the drivers of such payment variations across patient and tumor characteristics, we can inform efforts to decrease payments and increase quality, thereby reducing the burden of cancer care. IMPLICATIONS FOR PRACTICE: Considerable differences exist in expenditures across phases of cancer care. There are further differences by varying patient characteristics. Understanding the drivers of such payment variations across patient and tumor characteristics can inform efforts to decrease costs and increase quality, thereby reducing the burden of cancer care.

System-Level Health-Care Integration and the Costs of Cancer Care Across the Disease Continuum.

PURPOSE: Policy reforms in the Affordable Care Act encourage health care integration to improve quality and lower costs. We examined the association between system-level integration and longitudinal costs of cancer care. METHODS: We used linked SEER-Medicare data to identify patients age 66 to 99 years diagnosed with prostate, bladder, esophageal, pancreatic, lung, liver, kidney, colorectal, breast, or ovarian cancer from 2007 to 2012. We attributed each patient to one or more phases of care (ie, initial, continuing, and end of life) according to time from diagnosis until death or end of study interval. For each phase, we aggregated all claims with the primary cancer diagnosis and identified patients treated in an integrated delivery network (IDN), as defined by the Becker Hospital Review list of the top 100 most integrated health delivery systems. We then determined if care provided in an IDN was associated with decreased payments across cancers and for each individual cancer by phase and across phases. RESULTS: We identified 428,300 patients diagnosed with one of 10 common cancers. Overall, there were no differences in phase-based payments between IDNs and non-IDNs. Average adjusted annual payments by phase for IDN versus non-IDNs were as follows: initial, $14,194 versus $14,421, respectively ( P = .672); continuing, $2,051 versus $2,099 ( P = .566); and end of life, $16,257 versus $16,232 ( P = .948). However, in select cancers, we observed lower payments in IDNs. For bladder cancer, payments at the end of life were lower for IDNs ($11,041 v $12,331; P = .008). Of the four cancers with the lowest 5-year survival rates (ie, pancreatic, lung, esophageal, and liver), average expenditures during the initial and continuing-care phases were lower for patients with liver cancer treated in IDNs. CONCLUSION: For patients with one of 10 common malignancies, treatment in an IDN generally is not associated with lower costs during any phase of cancer care.

Drivers of Payment Variation in 90-Day Coronary Artery Bypass Grafting Episodes.

Importance: Coronary artery bypass grafting (CABG) is scheduled to become a mandatory Medicare bundled payment program in January 2018. A contemporary understanding of 90-day CABG episode payments and their drivers is necessary to inform health policy, hospital strategy, and clinical quality improvement activities. Furthermore, insight into current CABG payments and their variation is important for understanding the potential effects of bundled payment models in cardiac care. Objective: To examine CABG payment variation and its drivers. Design, Setting, and Participants: This retrospective cohort study used Medicare and private payer claims to identify patients who underwent nonemergent CABG surgery from January 1, 2012, through October 31, 2015. Ninety-day price-standardized, risk-adjusted, total episode payments were calculated for each patient, and hospitals were divided into quartiles based on the mean total episode payments of their patients. Payments were then subdivided into 4 components (index hospitalization, professional, postacute care, and readmission payments) and compared across hospital quartiles. Seventy-six hospitals in Michigan representing a diverse set of geographies and practice environments were included. Main Outcomes and Measures: Ninety-day CABG episode payments. Results: A total of 5910 patients undergoing nonemergent CABG surgery were identified at 33 of the 76 hospitals; of these, 4344 (73.5%) were men and mean (SD) age was 68.0 (9.3) years. At the patient level, risk-adjusted, 90-day total episode payments for CABG varied from $11 723 to $356 850. At the hospital level, the highest payment quartile of hospitals had a mean total episode payment of $54 399 compared with $45 487 for the lowest payment quartile (16.4% difference, P < .001). The highest payment quartile hospitals compared with the lowest payment quartile hospitals had 14.6% higher index hospitalization payments ($34 992 vs $30 531, P < .001), 33.9% higher professional payments ($8060 vs $6021, P < .001), 29.6% higher postacute care payments ($7663 vs $5912, P < .001), and 35.1% higher readmission payments ($3576 vs $2646, P = .06). The drivers of this variation are diagnosis related group distribution, increased inpatient evaluation and management services, higher utilization of inpatient rehabilitation, and patients with multiple readmissions. Conclusions and Relevance: Wide variation exists in 90-day CABG episode payments for Medicare and private payer patients in Michigan. Hospitals and clinicians entering bundled payment programs for CABG should work to understand local sources of variation, with a focus on patients with multiple readmissions, inpatient evaluation and management services, and postdischarge outpatient rehabilitation care.

Early effect of Medicare Shared Savings Program accountable care organization participation on prostate cancer care.

BACKGROUND: Accountable care organizations (ACOs) can improve prostate cancer care by decreasing treatment variations (ie, avoidance of treatment in low-value settings). Herein, the authors performed a study to understand the effect of Medicare Shared Savings Program ACOs on prostate cancer care. METHODS: Using a 20% Medicare sample, the authors identified men with newly diagnosed prostate cancer from 2010 through 2013. Rates of treatment, potential overtreatment (ie, treatment in men with a ≥75% chance of 10-year mortality from competing risks), and Medicare payments were measured using regression models. The impact of ACO participation was assessed using difference-in-differences analyses. RESULTS: Before implementation of ACOs, the treatment rate was 71.8% (95% confidence interval [95% CI], 70.2%-73.3%) for ACO-aligned beneficiaries and 72.3% (95% CI, 71.7%-73.0% [P = .51]) for non-ACO-aligned beneficiaries. After implementation, this rate declined to 68.4% (95% CI, 66.1%-70.7% [P = .017]) for ACO-aligned beneficiaries and 69.3% (95% CI, 68.5%-70.1% [P<.001]) for non-ACO-aligned beneficiaries. There was no differential effect noted for ACO participation. The rate of potential overtreatment decreased from 48.2% (95% CI, 43.1%-53.3%) to 40.2% (95% CI, 32.4%-48.0% [P = .087]) for ACO-aligned beneficiaries and increased from 44.3% (95% CI, 42.1%-46.5%) to 47.0% (95% CI, 44.5%-49.5% [P = .11]) for non-ACO-aligned beneficiaries. These changes resulted in a significant relative decrease in overtreatment of 17% for ACO-aligned beneficiaries (difference-in-differences, 10.8%; P = .031). Payments were not found to be differentially affected by ACO alignment. CONCLUSIONS: The treatment of prostate cancer and annual payments decreased significantly between 2010 and 2013, but ACO participation did not appear to impact these trends. Among men least likely to benefit, Medicare Shared Savings Program ACO alignment was associated with a significant decline in prostate cancer treatment. Cancer 2018;124:563-70. © 2017 American Cancer Society.

Optimizing active surveillance strategies to balance the competing goals of early detection of grade progression and minimizing harm from biopsies.

BACKGROUND: Active surveillance (AS) for prostate cancer includes follow-up with serial prostate biopsies. The optimal biopsy frequency during follow-up has not been determined. The goal of this investigation was to use longitudinal AS biopsy data to assess whether the frequency of biopsy could be reduced without substantially prolonging the time to the detection of disease with a Gleason score ≥ 7. METHODS: With data from 1375 men with low-risk prostate cancer enrolled in AS at Johns Hopkins, a hidden Markov model was developed to estimate the probability of undersampling at diagnosis, the annual probability of grade progression, and the 10-year cumulative probability of reclassification or progression to Gleason score ≥ 7. It simulated 1024 potential AS biopsy strategies for the 10 years after diagnosis. For each of these strategies, the model predicted the mean delay in the detection of disease with a Gleason score ≥ 7. RESULTS: The model estimated the 10-year cumulative probability of reclassification from a Gleason score of 6 to a Gleason score ≥ 7 to be 40.0%. The probability of undersampling at diagnosis was 9.8%, and the annual progression probability for men with a Gleason score of 6 was 4.0%. On the basis of these estimates, a simulation of an annual biopsy strategy estimated the mean time to the detection of disease with a Gleason score ≥ 7 to be 14.1 months; however, several strategies eliminated biopsies with only small delays (<12 months) in detecting grade progression. CONCLUSIONS: Although annual biopsy for low-risk men on AS is associated with the shortest time to the detection of disease with a Gleason score ≥ 7, several alternative strategies may allow less frequent biopsying without sizable delays in detecting grade progression. Cancer 2018;124:698-705. © 2017 American Cancer Society.

Episode-based Payment Variation for Urologic Cancer Surgery.

OBJECTIVE: To investigate payment variation for 3 common urologic cancer surgeries and evaluate the potential for applying bundled payment programs to these procedures. METHODS: Using 2008-2011 Surveillance, Epidemiology, and End Results-Medicare linked data, we identified all beneficiaries aged greater than 65 years who underwent cystectomy, prostatectomy, or nephrectomy for cancer. Total episode payments were determined by aggregating hospital, professional, and post-acute care claims from the index surgical hospitalization through 90 days post discharge. Total episode payments were then compared to examine hospital level-variation within each procedure type and the specific payment components (ie, index hospitalization, professional, readmission, and post-acute care) driving spending variation. RESULTS: Ninety-day episodes of care were identified for 1849 cystectomies, 8770 prostatectomies, and 4304 nephrectomies. We observed wide variation in mean episode payments for all 3 conditions (cystectomy mean $35,102: range $24,112-$57,238, prostatectomy mean $10,803: range $8,816-$17,877, nephrectomy mean $17,475: range $11,681-$26,711). Majority of payment variation was attributable to index hospitalization and post-acute care for cystectomy and nephrectomy and professional payments for prostatectomy. The most expensive hospitals by procedure each demonstrated a unique opportunity for spending reduction due to individual differences in component payment patterns between hospitals. CONCLUSION: Ninety-day episode payments for urologic cancer surgery vary widely across hospitals in the United States. The key drivers of this payment variation differ for individual procedures and hospitals. Accordingly, hospitals will need individualized data and clinical re-design strategies to succeed with implementation of episode-based payment models for urologic cancer care.

Use of Routine Home Health Care and Deviations From an Uncomplicated Recovery Pathway After Radical Prostatectomy.

OBJECTIVE: To evaluate the statistical association between routine home health use after prostatectomy, short-term surgical outcomes, and payments. METHODS: We identified all men who underwent a robotic radical prostatectomy from April 1, 2014, to October 31, 2015, in the Michigan Urological Surgery Improvement Collaborative (MUSIC) with insurance from Medicare or a large commercial payer. We calculated rates of "routine" home care use after prostatectomy by urology practice. We defined "routine" home care as home care initiated within 4 days of discharge among patients discharged without a pelvic drain. We then compared emergency department (ED) visits, readmissions, prolonged catheter use, catheter reinsertion rates, and 90-day episode payments, in unadjusted and using a propensity-adjusted analysis, for those who did and did not receive home care. RESULTS: We identified 647 patients, of whom 13% received routine home health care. At the practice level, the use of routine home care after prostatectomy varied from 0% to 53% (P = .05) (mean: 3.6%, median: 0%). Unadjusted, patients with routine home care had increased ED visits within 16 days (15.5% vs 6.9%, P <.01), similar rates of catheter duration for >16 days (3.6% vs 3.0%, P = .79) and need for catheter replacement (1.2% vs 2.5%, P = .46), and a trend toward decreased readmissions (0% vs 4.1%, P = .06). Only the increased ED visits remained significant in adjusted analyses (P <.01). Home health had an average payment of $1000 per episode. CONCLUSION: Thirteen percent of patients received routine home health care after prostatectomy, without improved outcomes. These findings suggest that patients do not routinely require home health care to improve short-term outcomes following radical prostatectomy, however, the appropriate use of home health care should be evaluated further.

Validation of a claims-based algorithm to characterize episodes of care.

OBJECTIVES: Although hospitals face increasing pressure from payers to improve the efficiency of healthcare delivery beyond the index hospitalization, they often lack information on postdischarge events. The Michigan Value Collaborative (MVC) developed a claims-based algorithm to provide hospitals with data on events that occur to patients beyond the hospitalization. Herein, we discuss the validation of MVC's claims-based algorithm. STUDY DESIGN: Retrospective analysis of a claims-based algorithm's ability to identify specific medical events, such as index hospitalizations, 30-day readmissions, emergency department visits, skilled nursing facility admissions, home health visits, and rehabilitation services. The claims-based events were validated using a primary review at 63 hospitals. METHODS: We selected 1830 Blue Cross Blue Shield of Michigan episodes from MVC data and asked 63 Michigan hospitals to query their medical records for the presence or absence of specific events. We then calculated agreement statistics and improved our algorithm using feedback from hospitals. RESULTS: All 63 hospitals participated in the validation process and successfully identified 99% of episodes in their medical records. The initial agreement between our algorithm and medical records was moderate for 4 postdischarge events (kappa ranging from 0.62-0.78) and poor for rehabilitation services (0.16). Much of the disagreements occurred because hospitals could not identify postdischarge events occurring outside of their hospital systems. Other disagreements occurred because of hospital coding practices. Through this analysis, the claims-based algorithm was improved to better reflect real-world coding practice. CONCLUSIONS: Our findings suggest that the MVC claims-based algorithm identifies and classifies claims with high fidelity and outperforms medical records in the identification of postdischarge events. These findings provide important insight to policy makers, payers, and hospital administrators about the value of claims-based data for the implementation of episode-based programs.

What is the impact of a clinically related readmission measure on the assessment of hospital performance?

BACKGROUND: The Hospital Readmission Reduction Program (HRRP) penalizes hospitals for high all-cause unplanned readmission rates. Many have expressed concern that hospitals serving patient populations with more comorbidities, lower incomes, and worse self-reported health status may be disproportionately penalized by readmissions that are not clinically related to the index admission. The impact of including clinically unrelated readmissions on hospital performance is largely unknown. We sought to determine if a clinically related readmission measure would significantly alter the assessment of hospital performance. METHODS: We analyzed Medicare claims for beneficiaries in Michigan admitted for pneumonia and joint replacement from 2011 to 2013. We compared each hospital's 30-day readmission rate using specifications from the HRRP's all-cause unplanned readmission measure to values calculated using a clinically related readmission measure. RESULTS: We found that the mean 30-day readmission rates were lower when calculated using the clinically related readmission measure (joint replacement: all-cause 5.8%, clinically related 4.9%, p < 0.001; pneumonia: all cause 12.5%, clinically related 11.3%, p < 0.001)). The correlation of hospital ranks using both methods was strong (joint replacement: 0.95 (p < 0.001), pneumonia: 0.90 (p < 0.001)). CONCLUSIONS: Our findings suggest that, while greater specificity may be achieved with a clinically related measure, clinically unrelated readmissions may not impact hospital performance in the HRRP.