Association Between Individual Primary Care Physician Merit-based Incentive Payment System Score and Measures of Process and Patient Outcomes.

Importance: The Medicare Merit-based Incentive Payment System (MIPS) influences reimbursement for hundreds of thousands of US physicians, but little is known about whether program performance accurately captures the quality of care they provide. Objective: To examine whether primary care physicians' MIPS scores are associated with performance on process and outcome measures. Design, Setting, and Participants: Cross-sectional study of 80 246 US primary care physicians participating in the MIPS program in 2019. Exposures: MIPS score. Main Outcomes and Measures: The association between physician MIPS scores and performance on 5 unadjusted process measures, 6 adjusted outcome measures, and a composite outcome measure. Results: The study population included 3.4 million patients attributed to 80 246 primary care physicians, including 4773 physicians with low MIPS scores (≤30), 6151 physicians with medium MIPS scores (>30-75), and 69 322 physicians with high MIPS scores (>75). Compared with physicians with high MIPS scores, physicians with low MIPS scores had significantly worse mean performance on 3 of 5 process measures: diabetic eye examinations (56.1% vs 63.2%; difference, -7.1 percentage points [95% CI, -8.0 to -6.2]; P < .001), diabetic HbA1c screening (84.6% vs 89.4%; difference, -4.8 percentage points [95% CI, -5.4 to -4.2]; P < .001), and mammography screening (58.2% vs 70.4%; difference, -12.2 percentage points [95% CI, -13.1 to -11.4]; P < .001) but significantly better mean performance on rates of influenza vaccination (78.0% vs 76.8%; difference, 1.2 percentage points [95% CI, 0.0 to 2.5]; P = .045] and tobacco screening (95.0% vs 94.1%; difference, 0.9 percentage points [95% CI, 0.3 to 1.5]; P = .001). MIPS scores were inconsistently associated with risk-adjusted patient outcomes: compared with physicians with high MIPS scores, physicians with low MIPS scores had significantly better mean performance on 1 outcome (307.6 vs 316.4 emergency department visits per 1000 patients; difference, -8.9 [95% CI, -13.7 to -4.1]; P < .001), worse performance on 1 outcome (255.4 vs 225.2 all-cause hospitalizations per 1000 patients; difference, 30.2 [95% CI, 24.8 to 35.7]; P < .001), and did not have significantly different performance on 4 ambulatory care-sensitive admission outcomes. Nineteen percent of physicians with low MIPS scores had composite outcomes performance in the top quintile, while 21% of physicians with high MIPS scores had outcomes in the bottom quintile. Physicians with low MIPS scores but superior outcomes cared for more medically complex and socially vulnerable patients, compared with physicians with low MIPS scores and poor outcomes. Conclusions and Relevance: Among US primary care physicians in 2019, MIPS scores were inconsistently associated with performance on process and outcome measures. These findings suggest that the MIPS program may be ineffective at measuring and incentivizing quality improvement among US physicians.

Optimal NIV Medicare Access Promotion: Patients With Central Sleep Apnea: A Technical Expert Panel Report From the American College of Chest Physicians, the American Association for Respiratory Care, the American Academy of Sleep Medicine, and the American Thoracic Society.

This document summarizes suggestions of the central sleep apnea (CSA) Technical Expert Panel working group. This paper shares our vision for bringing the right device to the right patient at the right time. For patients with CSA, current coverage criteria do not align with guideline treatment recommendations. For example, CPAP and oxygen therapy are recommended but not covered for CSA. On the other hand, bilevel positive airway pressure (BPAP) without a backup rate may be a covered therapy for OSA, but it may worsen CSA. Narrow coverage criteria that require near elimination of obstructive breathing events on CPAP or BPAP in the spontaneous mode, even if at poorly tolerated pressure levels, may preclude therapy with BPAP with backup rate or adaptive servoventilation, even when those devices provide demonstrably better therapy. CSA is a dynamic disorder that may require different treatments over time, sometimes switching from one device to another; an example is switching from BPAP with backup rate to an adaptive servoventilation with automatic end-expiratory pressure adjustments, which may not be covered. To address these challenges, we suggest several changes to the coverage determinations, including: (1) a single simplified initial and continuing coverage definition of CSA that aligns with OSA; (2) removal of hypoventilation terminology from coverage criteria for CSA; (3) all effective therapies for CSA should be covered, including oxygen and all PAP devices with or without backup rates or servo-mechanisms; and (4) patients shown to have a suboptimal response to one PAP device should be allowed to add oxygen or change to another PAP device with different capabilities if shown to be effective with testing.

Optimal NIV Medicare Access Promotion: Patients With Hypoventilation Syndromes: A Technical Expert Panel Report From the American College of Chest Physicians, the American Association for Respiratory Care, the American Academy of Sleep Medicine, and the American Thoracic Society.

The existing coverage criteria for home noninvasive ventilation (NIV) do not recognize the diversity of hypoventilation syndromes and advances in technologies. This document summarizes the work of the hypoventilation syndromes Technical Expert Panel working group. The most pressing current coverage barriers identified were: (1) overreliance on arterial blood gases (particularly during sleep); (2) need to perform testing on prescribed oxygen; (3) requiring a sleep study to rule out OSA as the cause of sustained hypoxemia; (4) need for spirometry; (5) need to show bilevel positive airway pressure (BPAP) without a backup rate failure to qualify for BPAP spontaneous/timed; and (6) qualifying hospitalized patients for home NIV therapy at the time of discharge. Critical evidence support for changes to current policies includes randomized controlled trial evidence and clinical practice guidelines. To decrease morbidity and mortality by achieving timely access to NIV for patients with hypoventilation, particularly those with obesity hypoventilation syndrome, we make the following key suggestions: (1) given the significant technological advances, we advise acceptance of surrogate noninvasive end-tidal and transcutaneous Pco2 and venous blood gases in lieu of arterial blood gases; (2) not requiring Pco2 measures while on prescribed oxygen; (3) not requiring a sleep study to avoid delays in care in patients being discharged from the hospital; (4) remove spirometry as a requirement; and (5) not requiring BPAP without a backup rate failure to approve BPAP spontaneous/timed. The overarching goal of the Technical Expert Panel is to establish pathways that improve clinicians' management capability to provide Medicare beneficiaries access to appropriate home NIV therapy. Adoption of these proposed suggestions would result in the right device, for the right type of patient with hypoventilation syndromes, at the right time.

End-of-life patterns of symptom management and cancer-directed care among Medicare beneficiaries with lung cancer: a claims-based analysis.

BACKGROUND: Rather than early hospice enrollment, most Medicare beneficiaries receive "usual care" in the last months of life, outside of the hospice setting. While care intensity during the last weeks of life has been studied extensively, patterns of symptom management services (SMS) and/or cancer-directed therapies (CDT) received over a 6-month end-of-life period have not. METHODS: This retrospective study used the Surveillance, Epidemiology, and End Results (SEER)-Medicare database to identify decedents diagnosed with lung cancer at age ≥ 66 years between January 2007 and December 2013 who survived ≥ 6 months from diagnosis. Medicare claims identified receipt of SMS and/or CDT. We created monthly indicators for care content (SMS-only, CDT-only, or both; otherwise full-month hospice or inpatient/skilled nursing). Multinomial logistic regression estimated associations between sociodemographics and comorbidity, with care content in the final month. RESULTS: Between 6 and 1 months before death, full-month hospice and inpatient/skilled nursing increased; CDT decreased from 31.9 to 18.5%; SMS increased from 86.6 to 97.7%. Relative to full-month hospice, the percentage of patients receiving SMS-only was higher for males, unmarried, younger age, and higher comorbidity; the percentage receiving CDT was also higher for males, unmarried, and younger age, but decreased with increasing comorbidity and over calendar time. CONCLUSION: Among lung cancer decedents observed in the outpatient, nonhospice setting, SMS receipt increased and was nearly universal as death approached. CDT diminished dramatically over the end-of-life period. Associations between sociodemographic characteristics and care setting suggest differences in care preferences or access barriers. Claims represent an important resource for characterizing end-of-life care patterns.

THE MOST FAVORED NATIONS MODEL INTERIM FINAL RULE IS FATALLY FLAWED AND MUST BE RESCINDED-YET THE PROBLEM IT ADDRESSES DEMANDS A SOLUTION.

DISCLOSURES: No funding supported the writing of this letter. The author has nothing to disclose.

What Is the Quality of Surgical Care for Patients with Hip Fractures at Critical Access Hospitals?

BACKGROUND: Critical access hospitals (CAHs) play an important role in providing access to care for many patients in rural communities. Prior studies have shown that these facilities are able to provide timely and quality care for patients who undergo various elective and emergency general surgical procedures. However, little is known about the quality and reimbursement of surgical care for patients undergoing surgery for hip fractures at CAHs compared with non-CAH facilities. QUESTIONS/PURPOSES: Are there any differences in 90-day complications, readmissions, mortality, and Medicare payments between patients undergoing surgery for hip fractures at CAHs and those undergoing surgery at non-CAHs? METHODS: The 2005 to 2014 Medicare 100% Standard Analytical Files were queried using ICD-9 procedure codes to identify Medicare-eligible beneficiaries undergoing open reduction and internal fixation (79.15, 79.35, and 78.55), hemiarthroplasty (81.52), and THA (81.51) for isolated closed hip fractures. This database was selected because the claims capture inpatient diagnoses, procedures, charged amounts and paid claims, as well as hospital-level information of the care, of Medicare patients across the nation. Patients with concurrent fixation of an upper extremity, lower extremity, and/or polytrauma were excluded from the study to ensure an isolated cohort of hip fractures was captured. The study cohort was divided into two groups based on where the surgery took place: CAHs and non-CAHs. A 1:1 propensity score match, adjusting for baseline demographics (age, gender, Census Bureau-designated region, and Elixhauser comorbidity index), clinical characteristics (fixation type and time to surgery), and hospital characteristics (whether the hospital was located in a rural ZIP code, the average annual procedure volume of the operating facility, hospital bed size, hospital ownership and teaching status), was used to control for the presence of baseline differences in patients presenting at CAHs and those presenting at non-CAHs. A total of 1,467,482 patients with hip fractures were included, 29,058 of whom underwent surgery in a CAH. After propensity score matching, each cohort (CAH and non-CAH) contained 29,058 patients. Multivariate logistic regression analyses were used to assess for differences in 90-day complications, readmissions, and mortality between the two matched cohorts. As funding policies of CAHs are regulated by Medicare, an evaluation of costs-of-care (by using Medicare payments as a proxy) was conducted. Generalized linear regression modeling was used to assess the 90-day Medicare payments among patients undergoing surgery in a CAH, while controlling for differences in baseline demographics and clinical characteristics. RESULTS: Patients undergoing surgery for hip fractures were less likely to experience many serious complications at a critical access hospital (CAH) than at a non-CAH. In particular, after controlling for patient demographics, hospital-level factors and procedural characteristics, patients treated at a CAH were less likely to experience: myocardial infarction (3% (916 of 29,058) versus 4% (1126 of 29,058); OR 0.80 [95% CI 0.74 to 0.88]; p < 0.001), sepsis (3% (765 of 29,058) versus 4% (1084 of 29,058); OR 0.69 [95% CI 0.63 to 0.78]; p < 0.001), acute renal failure (6% (1605 of 29,058) versus 8% (2353 of 29,058); OR 0.65 [95% CI 0.61 to 0.69]; p < 0.001), and Clostridium difficile infections (1% (367 of 29,058) versus 2% (473 of 29,058); OR 0.77 [95% CI 0.67 to 0.88]; p < 0.001) than undergoing surgery in a non-CAH. CAHs also had lower rates of all-cause 90-day readmissions (18% (5133 of 29,058) versus 20% (5931 of 29,058); OR 0.83 [95% CI 0.79 to 0.86]; p < 0.001) and 90-day mortality (4% (1273 of 29,058) versus 5% (1437 of 29,058); OR 0.88 [95% CI 0.82 to 0.95]; p = 0.001) than non-CAHs. Further, CAHs also had risk-adjusted lower 90-day Medicare payments than non-CAHs (USD 800, standard error 89; p < 0.001). CONCLUSION: Patients who received hip fracture surgical care at CAHs had a lower risk of major medical and surgical complications than those who had surgery at non-CAHs, even though Medicare reimbursements were lower as well. Although there may be some degree of patient selection at CAHs, these facilities appear to provide high-value care to rural communities. These findings provide evidence for policymakers evaluating the impact of the CAH program and allocating funding resources, as well as for community members seeking emergent care at local CAH facilities. LEVEL OF EVIDENCE: Level III, therapeutic study.

Effect of statewide reduction in extended care facility use after joint replacement on hospital readmission.

BACKGROUND: Extended care facility use is a primary driver of variation in hospitalization-associated health care payments and is increasingly a focus for savings under episode-based payment. However, concerns remain that extended care facility limits could incur rising readmissions, emergency department use, or other costs. We analyzed the effects of a statewide value improvement initiative to decrease extended care facility use after lower extremity arthroplasty on extended care facility use, readmission, emergency department use, and payments. METHODS: We performed a retrospective cohort study using complete claims from the Michigan Value Collaborative for patients undergoing lower extremity joint replacement. We compared the change in extended care facility use before (2012-2013) and after (2016-2017) the aforementioned statewide initiative with 90-day postacute care, readmission, and emergency department rates and payments using t tests. RESULTS: Of the patients included, 68,537 underwent total knee arthroplasty; 27,131 underwent total hip arthroplasty. Statewide, extended care facility use and postacute care payments decreased (extended care facility: 27.5% before vs 18.1% after, payments: $4,999 vs $3,832, P < .0001) without increased readmission rates (8.0% vs 7.6%, P = .10) or payments ($1,087 vs $1,026, P = .14). Emergency department use increased (7.8% vs 8.9%, P < .0001). Per hospital, there was no association between extended care facility use change and readmission rate change (r = 0.05). Hospital change in extended care facility use ranged from +2.3% (no extended care facility decrease group) to -16.6% (large extended care facility decrease group) and was associated with lower total episode payments without differences in change in readmission rate/payments or emergency department use. CONCLUSION: Despite decreased use of extended care facilities, there was no compensatory increase in readmission rate or payments. Reducing excess use of extended care facilities after joint replacement may be an important opportunity for savings in episode-based reimbursement.

RUC Operative Time Estimates are Inaccurate, Resulting in Decreased Work RVU Assignments for Longer Urologic Procedures.

OBJECTIVE: To assess whether inaccurate operative time estimates utilized by the Relative Value Update Committee (RUC) contribute to the undervaluation of longer urologic procedures. METHODS: The National Surgical Quality Improvement Program (NSQIP) and Centers for Medicare and Medicaid Services (CMS) data sets were reviewed from 2015 to 2017. NSQIP operative time is directly measured, contrasting with CMS times which are determined by the RUC via survey-generated estimates. The 50 most frequently coded urology current procedural terminologies were included. Operative time difference was compared between the 2 data sets, and Spearman's correlation coefficient was utilized to assess differences in wRVU/h. RESULTS: A total of 105,931 cases were included. Overall, RUC operative time estimates were longer than NSQIP (124.4 vs 103.5 minutes, P < .001). RUC data overestimated operative time by 42.9% for procedures ≤90 minutes and 16.4% for longer procedures (P < .001). Using NSQIP, procedures ≤90 minutes had higher wRVU/h than longer procedures (12.2 vs 8.7, P < .001), but this was not statistically different using RUC estimates (8.4 vs 7.7, P = .13). Spearman's correlation coefficient confirmed a statistically significant negative relationship between wRVU/h and operative time using NSQIP data (r = -0.57, 95% confidence interval: -7.4 to -0.36), and no statistically significant relationship using RUC data (r = -0.24, 95% confidence interval: -0.49 to 0.04). CONCLUSION: The RUC-intended wRVU/h is more equitable than the NSQIP real-world wRVU/h with regard to operative time. Inaccurate RUC operative time estimates contribute to the undervaluation of longer urologic procedures.

Reframing Financial Incentives Around Reducing Readmission After Radical Cystectomy.

OBJECTIVE: To better understand the financial implications of readmission after radical cystectomy, an expensive surgery coupled with a high readmission rate. Currently, whether hospitals benefit financially from readmissions after radical cystectomy remains unclear, and potentially obscures incentives to invest in readmission reduction efforts. MATERIALS AND METHODS: Using a 20% sample of national Medicare beneficiaries, we identified 3544 patients undergoing radical cystectomy from January 2010 to November 2014. We compared price-standardized Medicare payments for index admissions and readmissions after surgery. We also examined the variable financial impact of length of stay and the proportion of Medicare payments coming from readmissions based on overall readmission rate. RESULTS: Medicare patients readmitted after cystectomy had higher index hospitalization payments ($19,164 readmitted vs $18,146 non-readmitted, P = .03) and an average readmission payment of $7356. Adjusted average Medicare readmission payments and length of stay varied significantly across hospitals, ranging from $2854 to $15,605, and 2.0 to 17.1 days, respectively (both P <.01), with longer length of stay associated with increased payments. After hospitals were divided into quartiles based on overall readmission rates, the percent of payments coming from readmissions ranged from 5% to 13%. CONCLUSION: Readmissions following radical cystectomy were associated with increased Medicare payments for the index hospitalization, and the readmission payment, potentially limiting incentives for readmission reduction programs. Our findings highlight opportunities to reframe efforts to support patients, caregivers, and providers through improving the discharge and readmission processes to create a patient-centered experience, rather than for fear of financial penalties.

Events Associated With Changes in Reliance on the Veterans Health Administration Among Medicare-eligible Veterans.

OBJECTIVES: We can learn something about how Veterans value the Veterans Health Administration (VHA) versus community providers by observing Veterans' choices between VHA and Medicare providers after they turn 65. For a cohort of Veterans who were newly age-eligible for Medicare, we estimated the change in VHA reliance (VHA outpatient visits divided by total VHA and Medicare visits) associated with specific events: receiving a life-threatening diagnosis, having a Medicare-paid hospitalization, or moving further from the VHA. RESEARCH DESIGN: A longitudinal cohort study of VHA and Medicare administrative data. SUBJECTS: A total of 5932 VHA users who completed a health survey in 1999 and became age-eligible for Medicare from 1998 to 2000 were followed through 2016. PRINCIPAL FINDINGS: More Veterans chose to rely on the VHA than Medicare (64% vs. 36.%). For a VHA-reliant Veteran, a Medicare-paid hospital stay was associated with a decrease of 7.8 percentage points (pps) (P<0.001) in VHA reliance in the subsequent 12 months, but by 36 months reliance increased to near prehospitalization levels (-1.5 pps; P=0.138). Moving further from the VHA, or receiving a diagnosis of cancer, heart failure, or renal failure had no significant association with subsequent VHA reliance; however, a diagnosis of dementia was associated with a decrease in VHA reliance (-8.6 pps; P=0.026). CONCLUSIONS: A significant majority of newly Medicare-eligible VHA users voted with their feet in favor of sustaining the VHA as a provider of comprehensive medical care for Veterans. These VHA-reliant Veterans maintained their reliance even after receiving a life-threatening diagnosis, and after experiencing Medicare-provided hospital care.

Immunohistochemistry utilization in the diagnosis of melanoma.

BACKGROUND: The use of immunohistochemical (IHC) stains in dermatopathology is commonplace; however, little is known regarding utilization trends in melanoma diagnosis. Current Medicare local coverage determinations (LCDs) state that most pigmented lesions, including melanoma, can be diagnosed using H&E alone. METHODS: Histopathology reports for all biopsy-proven melanomas excised between January 1, 2017 and June 30, 2018, at a single dermatology clinic, were identified with the following parameters abstracted: laboratory/dermatopathologist rendering the diagnosis, whether IHC was performed, type/number of stains utilized, presence/depth of invasion, and melanoma subtype. The association of characteristics with IHC utilization was evaluated using χ2 test for categorical variables. RESULTS: Three hundred and fifty six eligible melanomas were identified. IHC was employed in 228 (64%) of the diagnoses. Invasive melanoma was diagnosed in 199 cases (55.9%) while 157 (44.1%) were identified as melanoma in situ (MIS). Of the 228 that utilized IHC, 117 were performed on invasive melanoma (58.8%) and 111 were performed on MIS (70.7%). CONCLUSION: Our findings suggest a higher IHC usage for the diagnosis of melanoma than previously reported. Existing LCDs regarding IHC utilization in melanoma do not reflect the current state of practice. Further investigation regarding IHC utilization and the development of appropriate-use criteria for melanoma IHC is necessary.

Resurrecting immortal-time bias in the study of readmissions.

OBJECTIVE: To compare readmission rates as measured by the Centers for Medicare and Medicaid Services and the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) methods. DATA SOURCES: 20 percent sample of national Medicare data for patients undergoing cystectomy, colectomy, abdominal aortic aneurysm (AAA) repair, and total knee arthroplasty (TKA) between 2010 and 2014. STUDY DESIGN: Retrospective cohort study comparing 30-day readmission rates. DATA COLLECTION/EXTRACTION METHODS: Patients undergoing cystectomy, colectomy, abdominal aortic aneurysm repair, and total knee arthroplasty between 2010 and 2014 were identified. PRINCIPAL FINDINGS: Cystectomy had the highest and total knee arthroplasty had the lowest readmission rate. The NSQIP measure reported significantly lower rates for all procedures compared to the CMS measure, which reflects an immortal-time bias. CONCLUSIONS: We found significantly different readmission rates across all surgical procedures when comparing CMS and NSQIP measures. Longer length of stay exacerbated these differences. Uniform outcome measures are needed to eliminate ambiguity and synergize research and policy efforts.

Barriers to receipt of novel oral oncolytics: A single-institution quality improvement investigation.

INTRODUCTION: Novel oral oncolytic agents have become the standard of care and first-line therapies for many malignancies. However, issues impacting access to these drugs are not well explored. As part of a quality improvement project in a large tertiary academic institution, we aim to identify potential barriers that delay treatment for patients who are prescribed novel oral oncolytics. METHODS: This was a retrospective review of adults who were newly prescribed a novel oral oncolytic for Food and Drug Administration-approved indications at a single tertiary care center. Patients were identified via electronic prescription data (e-Scribe). Demographics, insurance information, and prescription dates were extracted from the electronic medical record and pharmacy claims data. Statistical analyses were performed to determine whether time-to-receipt was associated with insurance category, pharmacy transfers, cost assistance, and drug prescribed. RESULTS: Of the 270 successfully filled prescriptions, the mean time-to-receipt was 7.3 ± 10.3 days (range: 0-109 days). Patients with Medicare experienced longer time-to-receipt (9.1 ± 13.1 days) compared to patients with commercial insurance (4.4 ± 3.3). Uninsured patients experienced the longest time-to-receipt (15.7 ± 7.8 days) overall. Pharmacy transfers and cost assistance programs were also significantly associated with longer time-to-receipt. Ten prescriptions remained unfilled 90 days after the study period and were considered abandoned. CONCLUSION: Insurance has a significant effect on the time-to-receipt of newly prescribed novel oral oncolytics. Pharmacy transfers and applying for cost assistance are also associated with longer wait times for patients. Our retrospective analysis identifies areas of improvement for future interventions to reduce wait times for patients receiving novel oral oncolytics.

Validation of claims-based algorithms for psoriatic arthritis.

PURPOSE: An increasing number of new medications are being developed and approved for psoriatic arthritis (PsA). To generate real-world evidence on comparative safety and effectiveness of these drugs, a claims-based algorithm that can accurately identify PsA is greatly needed. METHODS: To identify patients with PsA, we developed seven claims-based algorithms based on a combination of diagnosis codes and medication dispensing using the claims data from Medicare parts A/B/D linked to electronic medical records (2012-2014). Two physicians independently conducted a chart review using the treating physician's diagnosis of PsA as the gold standard. We calculated the positive predictive value (PPV) and 95% confidence intervals of each algorithm. RESULTS: Of the total 2157 records identified by the seven algorithms, 45% of the records had relevant clinical data to determine the presence of PsA. The PPV of the algorithms ranged from 75.2% (algorithm 1: ≥2 diagnosis codes for PsA and ≥1 diagnosis code for psoriasis) to 88.6% (algorithm 7: ≥2 diagnosis codes for PsA with ≥1 code by rheumatologist and ≥1 dispensing for PsA medication). Having ≥2 diagnosis codes and ≥1 dispensing for PsA medications (algorithm 6) also had PPV of 82.4%. CONCLUSIONS: All seven claims-based algorithms demonstrated a moderately high PPV of 75% to 89% in identifying PsA. The use of ≥2 diagnosis codes plus ≥1 prescription claim for PsA appears to be a valid and efficient tool in identifying PsA patients in the claims data, while broader algorithms based on diagnoses without a prescription claim also have reasonably good PPVs.

Medicare and patient spending among beneficiaries diagnosed with chronic myelogenous leukemia.

BACKGROUND: The authors examined Medicare spending and patient spending in older patients with chronic myelogenous leukemia (CML) over the first 5 years from the time of CML diagnosis in the tyrosine kinase inhibitor (TKI) era. METHODS: Medicare beneficiaries with CML who were diagnosed between 2007 and 2012 at age >65 years were identified from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database (805 beneficiaries). A noncancer Medicare beneficiary sample was frequency-matched based on age, sex, and race/ethnicity (805 individuals). Patients were followed until 5 years from diagnosis, disenrollment, death, or December 31, 2014, whichever came first. Total Medicare spending, service-specific spending, and amount owed by patients was estimated monthly and then summed over 60 months and averaged to generate annual spending. RESULTS: The median age at the time of diagnosis of CML was 76 years (range, 66-102 years). Overall, 51.4% of patients received TKIs (27.8% received imatinib alone), 28% received non-TKI therapy, and 21% received no treatment. The 5-year survival rate for patients with ≥85% time receiving TKIs was 79% compared with 76% for noncancer controls versus 62% for those with <85% time receiving TKIs. Annual Medicare spending was found to be significantly higher for patients treated with TKIs ($143,053) compared with those treated without TKIs ($41,268 vs $10,498 for noncancer controls). Annual patient cost responsibility was $11,712 per patient receiving any TKIs versus $7330 for those receiving non-TKI outpatient chemotherapy versus $3561 for noncancer controls. CONCLUSIONS: Older patients with CML with adequate time receiving TKI therapy have 5-year survival rates that are comparable to those of their counterparts without cancer. However, TKI use is accompanied with significant Medicare and patient spending; patients receiving multiple TKIs (ie, dasatinib or nilotinib along with imatinib) constitute the group with the highest spending.

Comparative Effectiveness of Computed Tomography- Versus Ultrasound-Guided Percutaneous Radiofrequency Ablation Among Medicare Patients 65 Years of Age or Older With Hepatocellular Carcinoma.

BACKGROUND: For patients with hepatocellular carcinoma (HCC) not eligible for surgical resection, radiofrequency ablation (RFA) is a promising technique that reduces the risk of disease progression. OBJECTIVES: To evaluate whether the trend of image guidance for RFA is moving toward the more expensive computed tomography (CT) technology and to determine the clinical benefits of CT guidance over the ultrasound (US) guidance. METHODS: A cohort of 463 patients was identified from the Surveillance, Epidemiology, and End Results and Medicare-linked database. The temporal trends in use of image guidance were assessed using the Cochrane-Armitage test. The associations between modality of image guidance and survival, complications, and costs were assessed using the Cox regression model, the logistic regression model, and the generalized linear model, respectively. RESULTS: The use of CT-guided RFA increased sharply, from 20.7% in 2002 to 75.9% in 2011. Compared with CT-guided RFA, those who received US-guided RFA had comparable risk of periprocedural and delayed postprocedural complications. Stratified analyses by tumor size also showed no statistically significant difference. In adjusted survival analysis, no statistically significant difference was observed in overall and cancer-specific survival. Nevertheless, the cost of CT-guided RFA ($2847) was higher than that of US-guided RFA ($1862). CONCLUSIONS: Despite its rapid adoption over time, CT-guided RFA incurred higher procedural costs than US-guided RFA but did not significantly improve postprocedural complications and survival. Echoing the American Board of Internal Medicine's Choosing Wisely campaign and the American Society of Clinical Oncology's Value of Cancer Care initiative, findings from our study call for critical evaluation of whether CT-guided RFA provides high-value care for patients with HCC.

Organizational Attributes Associated With Medicare ACO Quality Performance.

PURPOSE: To evaluate associations between geographic, structural, and service-provision attributes of Accountable Care Organizations (ACOs) participating in the Medicare Shared Savings Program (MSSP) and the ACOs' quality performance. METHODOLOGY: We conducted cross-sectional and longitudinal analyses of ACO quality performance using data from the Centers for Medicare and Medicaid Services and additional sources. The sample included 322 and 385 MSSP ACOs that had successfully reported quality measures in 2014 and 2015, respectively. RESULTS: Results show that after adjusting for other organizational factors, rural ACOs' average quality score was comparable to that of ACOs serving other geographic categories. ACOs with hospital-system sponsorship, larger beneficiary panels, and higher posthospitalization follow-up rates achieved better quality performance. CONCLUSION: There is no significant difference in average quality performance between rural ACOs and other ACOs after adjusting for structural and service-provision factors. MSSP ACO quality performance is positively associated with hospital-system sponsorship, beneficiary panel size, and posthospitalization follow-up rate.

Alterations in 90-day morbidity, mortality, and readmission rates following spine surgery in Medicare Accountable Care Organizations (2009-2014).

BACKGROUND CONTEXT: The impact of Accountable Care Organizations (ACOs) on healthcare quality and outcomes, including morbidity, mortality, and readmissions, has not been substantially investigated, especially following spine surgery. PURPOSE: To evaluate the impact of ACO formation on postoperative outcomes in the 90-day period following spine surgery. STUDY DESIGN: Retrospective review of national Medicare claims data (2009-2014). PATIENT SAMPLE: Patients who underwent one of four lumbar spine surgical procedures in an ACO or non-ACO. OUTCOME MEASURES: The development of in-hospital mortality, complications or hospital readmission within 90 days of the surgical procedure. METHODS: The primary outcome measures included postsurgical complications and readmissions at 90 days following surgery. In-hospital mortality and 30-day outcomes were considered secondarily. The primary predictor variable consisted of ACO enrollment designation. Multivariable logistic regression analysis was utilized to adjust for confounders and determine the independent effect of ACO enrollment on postsurgical outcomes. The multivariable model included a propensity score adjustment that accounted for factors associated with the preferential enrollment of patients in ACOs, namely, sociodemographic characteristics, medical co-morbidities, hospital teaching status, bed size, and location. RESULTS: In all, there were 344,813 patients identified for inclusion in this analysis with 97% (n = 332,890) treated in non-ACOs and 3% (n = 11,923) in an ACO. Although modest changes were apparent across both ACOs and non-ACOs over the time-period studied, improvements were slightly more dramatic in non-ACOs leading to statistically significant differences in both 90-day complications and readmissions. Specifically, in the period 2012-2014, ACOs demonstrated an 18% increase in the odds of 90-day complications and a 14% elevation in the odds of 90-day readmissions when compared to non-ACOs. There was no difference in hospital mortality between ACOs and non-ACOs. CONCLUSIONS: Our study of Medicare data from 2009 to 2014 failed to demonstrate superior reductions in postoperative morbidity, mortality, and readmissions for beneficiaries treated in ACOs as compared to non-ACOs. These results indicate that meaningful changes in postoperative outcomes should not be anticipated based on organizational participation in ACOs at present.

Rural-Urban Differences in Medicare Quality Scores Persist After Adjusting for Sociodemographic and Environmental Characteristics.

PURPOSE: Quality scores are strongly influenced by sociodemographic characteristics and health behaviors, many of which lie outside of the clinician's control. As a result, there is vigorous debate about whether, and how, to risk-adjust quality measures. Yet, rurality has been largely missing from this debate, even though population and environmental characteristics are demonstrably different by rurality. We addressed this gap by examining the influence of county-level population sociodemographic, environmental, and health characteristics on 3 Medicare quality measures. METHODS: We used a cross-sectional analysis of 2016 County Health Rankings data to estimate differences in 3 Medicare quality scores (preventable hospitalizations, HbA1c monitoring, and mammography screening) by rurality. We then adjusted for county-level sociodemographic and environmental characteristics in multivariable regression models in order to see whether the association between rurality and quality was impacted. FINDINGS: Both micropolitan and noncore counties exhibited lower quality scores than metropolitan counties for all 3 measures. After adjustment, noncore counties still had poorer quality on all 3 measures, while micropolitan counties improved on 2 measures. Several county-level sociodemographic and environmental characteristics were associated with quality, although the direction of association depended on the quality measure. CONCLUSIONS: Differences in Medicare quality scores by rurality cannot be entirely explained by differences in population or environmental characteristics. Still, to the extent that clinicians are evaluated-and paid-based on measures that are influenced by both population sociodemographic characteristics and geographic location without adequate risk adjustment, the challenges of delivering care in rural areas will only be exacerbated.