Cataract Surgery in the Medicare Merit-Based Incentive Payment System: Episode-Based Cost Measure Development and Evaluation.

Objective: To characterize the development and performance of a cataract surgery episode-based cost measure for the Medicare Quality Payment Program. Design: Claims-based analysis. Participants: Medicare clinicians with cataract surgery claims between June 1, 2016, and May 31, 2017. Methods: We limited the analysis to claims with procedure code 66984 (routine cataract surgery), excluding cases with relevant ocular comorbidities. We divided episodes into subgroups by surgery location (Ambulatory Surgery Center [ASC] or Hospital Outpatient Department [HOPD]) and laterality (bilateral when surgeries were within 30 days apart). For the episode-based cost measure, we calculated costs occurring between 60 days before surgery and 90 days after surgery, limited to services identified by an expert committee as related to cataract surgery and under the influence of the cataract surgeon. We attributed costs to the clinician submitting the cataract surgery claim, categorized costs into clinical themes, and calculated episode cost distribution, reliability in detecting clinician-dependent cost variation, and costs with versus without complications. We compared episode-based cost scores with hypothetical "nonselective" cost scores (total Medicare beneficiary costs between 60 days before surgery and 90 days after surgery). Main Outcome Measures: Episode costs with and without complications, clinician-dependent variation (proportion of total cost variance), and proportion of costs from cataract surgery-related clinical themes. Results: We identified 583 356 cataract surgery episodes attributed to 10 790 clinicians and 8189 with ≥ 10 episodes during the measurement period. Most surgeries were performed in an ASC (71%) and unilateral (66%). The mean episode cost was $2876. The HOPD surgeries had higher costs; geography and episodes per clinician did not substantially affect costs. The proportion of cost variation from clinician-dependent factors was higher in episode-based compared with nonselective cost measures (94% vs. 39%), and cataract surgery-related clinical themes represented a higher proportion of total costs for episode-based measures. Episodes with complications had higher costs than episodes without complications ($3738 vs. $2276). Conclusions: The cataract surgery episode-based cost measure performs better than a comparable nonselective measure based on cost distribution, clinician-dependent variance, association with cataract surgery-related clinical themes, and quality alignment (higher costs in episodes with complications). Cost measure maintenance and refinement will be important to maintain clinical validity and reliability. Financial Disclosures: Proprietary or commercial disclosure may be found after the references.

California Hospitals' Rapidly Declining Traditional Medicare Operating Margins.

In recent years, Medicare margins of U.S. short-term acute care hospitals participating in the inpatient prospective payment system (IPPS) have declined nationally by over 10 percentage points, from 2.2% in 2002 to -8.7% in 2019. This trend conceals critical regional variations, with recent studies documenting particularly low and negative margins in metropolitan areas with higher labor costs despite geographic adjustments by the Centers for Medicare & Medicaid Services (CMS). In this article, we describe recent trends in California hospitals' traditional fee-for-service Medicare operating margins compared to hospital operating margins across payers and changes in the CMS hospital wage index (HWI) used to adjust Medicare payments. We conduct an observational study of audited financial reports of IPPS-participating California hospitals using California Department of Health Care Access and Information and CMS data for years 2005-2020 (n = 4429 reports included in the analysis). We describe trends in financial measures by payer and investigate associations between HWI and traditional Medicare margins, focusing on the pre-COVID period of 2005 through 2019. During that period, California hospitals' statewide traditional Medicare operating margin declined from -27 to -40%, and financial shortfalls in caring for fee-for-service Medicare patients more than doubled ($4.1 billion in 2005 to $8.5 billion in 2019, both values in 2019 dollars). Meanwhile, operating margins from commercial managed care patients increased from 21% in 2005 to 38% in 2019. There was a stable negative association between HWI and traditional Medicare operating margins throughout the period (p = 0.000 in 2005; p < 0.0001 in 2006-2020), indicating that areas of California with higher health care wages had persistently worse traditional Medicare operating margins than areas with lower wages.

Projecting prevalence of frailty and dementia and the economic cost of care in Japan from 2016 to 2043: a microsimulation modelling study.

BACKGROUND: Dementia and frailty often accompany one another in older age, requiring complex care and resources. Available projections provide little information on their joint impact on future health-care need from different segments of society and the associated costs. Using a newly developed microsimulation model, we forecast this situation in Japan as its population ages and decreases in size. METHODS: In this microsimulation modelling study, we built a model that simulates an individual's status transition across 11 chronic diseases (including diabetes, coronary heart disease, and stroke) as well as depression, functional status, and self-reported health, by age, sex, and educational strata (less than high school, high school, and college and higher), on the basis of nationally representative health surveys and existing cohort studies. Using the simulation results, we projected the prevalence of dementia and frailty, life expectancy with these conditions, and the economic cost for formal and informal care over the period 2016-43 in the population of Japan aged 60 years and older. FINDINGS: Between 2016 and 2043, life expectancy at age 65 years will increase from 23·7 years to 24·9 years in women and from 18·7 years to 19·9 years in men. Years spent with dementia will decrease from 4·7 to 3·9 years in women and 2·2 to 1·4 years in men. By contrast, years spent with frailty will increase from 3·7 to 4·0 years for women and 1·9 to 2·1 for men, and across all educational groups. By 2043, approximately 29% of women aged 75 years and older with a less than high school education are estimated to have both dementia and frailty, and so will require complex care. The expected need for health care and formal long-term care is anticipated to reach costs of US$125 billion for dementia and $97 billion for frailty per annum in 2043 for the country. INTERPRETATION: Japan's Government and policy makers should consider the potential social challenges in caring for a sizable population of older people with frailty and dementia, and a widening disparity in the burden of those conditions by sex and by educational status. The future burden of dementia and frailty should be countered not only by curative and preventive technology innovation, but also by social policies to mitigate the health gap. FUNDING: Japan Society for the Promotion of Science, Hitachi - the University of Tokyo Laboratory for a sustainable society, and the National Institute of Ageing.

Development of a Knee Arthroplasty Episode-Based Cost Measure for Evaluating Cost in the Merit-Based Incentive Payment System.

BACKGROUND: Under the Merit-based Incentive Payment System (MIPS), the U.S. Centers for Medicare and Medicaid Services (CMS) evaluate clinicians who manage Medicare patients on the basis of cost and quality outcomes. CMS contractor Acumen, LLC, convened an expert panel to develop a knee arthroplasty episode-based cost measure (EBCM) for use in the MIPS. METHODS: A Clinical Subcommittee of 28 clinician experts affiliated with 27 specialty societies provided guidance in developing the knee arthroplasty EBCM. The Clinical Subcommittee specified all aspects of the EBCM including triggering of the episode, services within the episode, risk adjustment, subgrouping, and exclusions. Services were counted only if the Clinical Subcommittee deemed them under the influence of the clinician assigned to the EBCM (selective service assignment; SSA). We assessed the reliability of the EBCM and compared it with an alternative population-based cost measure constructed without SSA. RESULTS: We identified 249,301 knee arthroplasty episodes from June 1, 2016, to May 31, 2017, with 10,681 clinicians having at least 10 attributed episodes. The mean episode cost was $19,321 with a standard deviation of $1,816. SSA increased the reliability score from 0.71 to 0.81 relative to an alternative measure that counted all patient costs. SSA also led to reclassification of 41.8% of clinicians into different quintiles of performance. CONCLUSIONS: We found that the use of SSA in the creation of the EBCM substantially reduces random noise (i.e., unrelated medical procedures or costs) and offers a tool for assessing clinicians' costs of management that is focused on care directly related to knee arthroplasty.

Challenging Assumptions of Outcomes and Costs Comparing Peritoneal and Hemodialysis.

OBJECTIVES: Policy makers have suggested increasing peritoneal dialysis (PD) would improve end-stage kidney disease (ESKD) outcomes and reduce Medicare spending compared with hemodialysis (HD). We compared mortality, hospitalizations, and Medicare spending between PD and HD among uninsured adults with incident ESKD. METHODS: Using an instrumental variable design, we exploited a natural experiment encouraging PD among the uninsured. Uninsured patients usually receive Medicare at dialysis month 4. For those initiating PD, Medicare covers the first 3 dialysis months, including predialysis services in the calendar month when dialysis started. Starting dialysis later in a calendar month increases predialysis coverage that is essential for PD catheter placements. The policy encourages PD incrementally when ESKD develops later in the month. Dialysis start day appears to be unrelated to patient characteristics and effectively "randomizes patients" to dialysis modality, mitigating selection bias. RESULTS: Starting dialysis later in the month was associated with an increased PD uptake: every week later in the month was associated with an absolute increase of 0.8% (95% confidence interval [CI] 0.6%-0.9%) at dialysis day 1 and 0.5% (95% CI 0.3%-0.7%) at dialysis month 12. We observed no significant absolute difference between PD and HD for 12-month mortality (-0.9%, 95% CI -3.3% to 0.8%), hospitalizations during months 7 to 12 (-0.05, 95% CI -0.20 to 0.07), and Medicare spending during months 7 to 12 (-$702, 95% CI -$4004 to $2909). CONCLUSIONS: In an instrumental variable analysis, PD did not result in improved outcomes or lower costs than HD.

Racial and ethnic inequities in the early distribution of U.S. COVID-19 testing sites and mortality.

BACKGROUND: In 2020, early U.S. COVID-19 testing sites offered diagnostic capacity to patients and were important sources of epidemiological data about the spread of the novel pandemic disease. However, little research has comprehensively described American testing sites' distribution by race/ethnicity and sought to identify any relation to known disparities in COVID-19 outcomes. METHODS: Locations of U.S. COVID-19 testing sites were gathered from 16 April to 28 May 2020. Geographic testing disparities were evaluated with comparisons of the demographic makeup of zip codes around each testing site versus Monte Carlo simulations, aggregated to statewide and nationwide levels. State testing disparities were compared with statewide disparities in mortality observed one to 3 weeks later using multivariable regression, controlling for confounding disparities and characteristics. RESULTS: Nationwide, COVID-19 testing sites geographically overrepresented White residents on 7 May, underrepresented Hispanic residents on 16 April, 7 May and 28 May and overrepresented Black residents on 28 May compared with random distribution within counties, with new sites added over time exhibiting inconsistent disparities for Black and Hispanic populations. For every 1 percentage point increase in underrepresentation of Hispanic populations in zip codes with testing, mortality among the state's Hispanic population was 1.04 percentage points more over-representative (SE = 0.415, p = .01). CONCLUSIONS: American testing sites were not distributed equitably by race during this analysis, often underrepresenting minority populations who bear a disproportionate burden of COVID-19 cases and deaths. With an easy-to-implement measure of geographic disparity, these results provide empirical support for the consideration of access when distributing preventive resources.

Availability of Cost-effectiveness Studies for Drugs With High Medicare Part D Expenditures.

Importance: Prescription drug spending in the US requires policy intervention to control costs and improve the value obtained from pharmaceutical spending. One such intervention is to apply cost-effectiveness evidence to decisions regarding drug coverage and pricing, but this intervention depends on the existence of such evidence to guide decisions. Objective: To characterize the availability and quality of cost-effectiveness studies for prescription drugs with the greatest Medicare Part D spending. Design, Setting, and Participants: In this national cross-sectional analysis, publicly available 2016 Medicare drug spending records were merged with 2016 US Food & Drug Administration Orange Book data and the Tufts Medical Center Cost-Effectiveness Analysis (CEA) Registry. All studies published through 2015 that evaluated the cost-effectiveness of the 250 drugs for which Medicare Part D spending was the greatest in US-based adult patient populations were included. Data were analyzed from September 2018 to June 2020. Main Outcomes and Measures: The presence and quality of published cost-effectiveness analyses for the 250 drugs for which Medicare Part D spending was greatest in 2016 were assessed based on the inclusion of key cost-effectiveness analysis elements and global ratings by independent reviewers for the Tufts CEA Registry. Results: Medicare Part D spending on the 250 drugs in the sample totaled $122.8 billion in 2016 (84.1% of total spending). Of these 250 drugs, 91 (36.4%) had a generic equivalent and 159 (63.6%) retained some patent exclusivity. There were 280 unique cost-effectiveness analyses for these drugs, representing data on 135 (54.0%) of the 250 drugs included and 67.0% of Part D spending on the top 250 drugs. The 115 drugs (46.0%) without cost-effectiveness studies accounted for 33.0% of Part D spending on the top 250 drugs. Of the 280 available studies, 128 (45.7%) were industry sponsored. A large proportion of the studies (250 [89.3%]) did not meet the minimum quality requirements. Conclusions and Relevance: In this cross-sectional study, a substantial proportion of 2016 Medicare Part D spending was for drugs with absent or low-quality cost-effectiveness analyses. The lack of quality analyses may present a challenge in efforts to develop policies addressing drug spending in terms of value.

Consolidation of primary care physicians and its impact on healthcare utilization.

We use administrative data from Medicare to document the massive consolidation of primary care physicians over the last decade and its impact on patient healthcare utilization. We first document that primary care organizations have consolidated all over the United States between 2008 and 2014. We then show that regions that experienced greater consolidation are associated with greater decline in overall healthcare spending. Finally, in our primary exercise, we exploit transitions of patients across organizations that are driven by changes in the organizational affiliations of their primary care physicians to study the impact of organizational size on overall spending. Our preferred specification suggests that patients switching from small to large physician organizations reduce their overall healthcare spending by 16%, and that this reduction is primarily driven by a 13% reduction in primary care visits and 0.09 (21%) fewer inpatient admissions per year.

Development of the Elective Outpatient Percutaneous Coronary Intervention Episode-Based Cost Measure.

BACKGROUND: The Merit-Based Incentive Payment System adjusts clinician payments based on a performance score that includes cost measures. With the Centers for Medicare & Medicaid Services, we developed a novel cost measure that compared interventional cardiologists on a targeted set of costs related to elective percutaneous coronary intervention (PCI). We describe the measure and compare it to a hypothetical version including all expenditures post-PCI. METHODS: Measure development was guided by 39 clinician experts. They identified services within 30 days of PCI that could be potentially affected by the interventional cardiologist. Expenditures for these PCI-related services were included as measure costs in a process termed service assignment. We used 1 year of Medicare claims to calculate clinician scores using the final measure that included only PCI-related costs (with service assignment) and a hypothetical version that included all costs post-PCI (without service assignment). We calculated reliability for both measures. This marker of precision breaks measure variance into signal (difference between clinicians) versus noise (difference between PCI episodes for a clinician). We also determined the change in clinician performance quintile between measures. RESULTS: We identified 100 992 elective outpatient PCI episodes from May 2, 2016, to May 1, 2017. Total Medicare expenditures within 30 days of PCI averaged $13 234. After excluding costs unrelated to PCI, average cost was $10 966. For individual clinicians, mean reliability for the hypothetical measure without service assignment was 0.36. After service assignment, final measure reliability increased to 0.53. When evaluated as clinician groups, reliability increased from 0.43 to 0.73 following service assignment. Approximately 66% (2340 of 3527) of clinicians were reclassified into a different performance quintile after excluding unrelated costs. CONCLUSIONS: The elective outpatient PCI cost measure had increased precision and reclassified clinician performance relative to a hypothetical version that included total expenditures.

Development of Episode-Based Cost Measures for the US Medicare Merit-based Incentive Payment System.

Importance: The Merit-based Incentive Payment System (MIPS), established as part of the Quality Payment Program, is a Medicare value-based payment program that evaluates clinicians' performance across 4 categories: quality, cost, promoting interoperability, and improvement activities. The cost category includes novel episode-based measures designed for targeted evaluation of the resource use of specific conditions. This report describes the development of episode-based cost measures and their role in the shift from volume-based to value-based purchasing. Objectives: Episode-based cost measures focus on resource use related to the treatment of a specific condition or procedure. The measures exclude health care costs unrelated to the condition or procedure of focus. The episode-based cost measures provide a nuanced examination of resource use that can be used alongside quality metrics to identify opportunities to improve the value by capturing costs that are clinically related to the care being delivered within a given patient-clinician relationship of care delivered to patients. These measures were developed with the input of clinical committees composed of over 320 clinicians from 127 specialty societies and stakeholder organizations. The MIPS program currently evaluates clinician cost category performance based on 2 population-based cost measures (Medicare spending per beneficiary and total per capita costs) in addition to 18 episode-based cost measures. Additional episode-based cost measures are currently under development. Conclusions and Relevance: The transition to value-based payment requires an accurate assessment of clinician effect on health care quality and cost. The use of episode-based cost measures to assess clinician influence on health care costs for high-priority conditions and procedures is an important step. The Centers for Medicare & Medicaid Services is introducing MIPS Value Pathways that will align episode-based cost measures with related quality measures to further incentivize the transition from fee-for-service to value-based care.

Future projection of the health and functional status of older people in Japan: A multistate transition microsimulation model with repeated cross-sectional data.

Accurate future projections of population health are imperative to plan for the future healthcare needs of a rapidly aging population. Multistate-transition microsimulation models, such as the U.S. Future Elderly Model, address this need but require high-quality panel data for calibration. We develop an alternative method that relaxes this data requirement, using repeated cross-sectional representative surveys to estimate multistate-transition contingency tables applied to Japan's population. We calculate the birth cohort sex-specific prevalence of comorbidities using five waves of the governmental health surveys. Combining estimated comorbidity prevalence with death record information, we determine the transition probabilities of health statuses. We then construct a virtual Japanese population aged 60 and older as of 2013 and perform a microsimulation to project disease distributions to 2046. Our estimates replicate governmental projections of population pyramids and match the actual prevalence trends of comorbidities and the disease incidence rates reported in epidemiological studies in the past decade. Our future projections of cardiovascular diseases indicate lower prevalence than expected from static models, reflecting recent declining trends in disease incidence and fatality.

Adjustment For Social Risk Factors Does Not Meaningfully Affect Performance On Medicare's MIPS Clinician Cost Measures.

Medicare's Merit-based Incentive Payment System (MIPS) includes episode-based cost measures that evaluate Medicare expenditures for specific conditions and procedures. These measures compare clinicians' cost performance and, along with other MIPS category scores, determine Medicare Part B clinician payment adjustments. The measures do not include risk adjustment for social risk factors. We found that adjusting for individual and community social risk did not have a meaningful impact on clinicians' cost measure performance. Across eight cost measures, 1.4 percent of clinician groups, on average, had an absolute change in their cost measure performance percentile of 10 percent or more (range, 0.4-3.4 percent). Prior analyses have generally found higher health care costs for patients with increased social risk. MIPS episode-based cost measures are distinct from previous cost measures because they only include costs related to the specific condition being evaluated. This unique approach may explain why costs were similar for patients with high and low social risk before any risk adjustment. MIPS episode-based cost measures do not appear to penalize clinicians who primarily care for patients with increased social risk.

Early Delays in Insurance Coverage and Long-term Use of Home-based Peritoneal Dialysis.

BACKGROUND: Uninsured patients with end-stage renal disease face barriers to peritoneal dialysis (PD), a type of home dialysis that is associated with improved quality of life and reduced Medicare costs. Although uninsured patients using PD at dialysis start receive retroactive Medicare coverage for required predialysis services, coverage only applies for the calendar month of dialysis start. Thus, initiating dialysis later in the month yields longer retroactive coverage. OBJECTIVES: To examine whether differences in retroactive Medicare were associated with decreased long-term PD use. RESEARCH DESIGN: We exploited the dialysis start date using a regression discontinuity design on a national cohort from the US Renal Data System. SUBJECTS: 36,256 uninsured adults starting dialysis between January 1, 2006 and December 31, 2014. MEASURES: PD use at dialysis days 1, 90, 180, and 360. RESULTS: Starting dialysis on the first versus last day of the calendar month was associated with an absolute decrease in PD use of 2.7% [95% confidence interval (CI), 1.5%-3.9%], or a relative decrease of 20% (95% CI, 12%-27%) at dialysis day 360. The absolute decrease was 5.5% (95% CI, 3.5%-7.2%) after Medicare established provider incentives for PD in 2011 and 7.2% (95% CI, 2.5%-11.9%) after Medicaid expansion in 2014. Patients were unlikely to switch from hemodialysis to PD after the first month of dialysis (probability of 6.9% in month 1, 1.5% in month 2, and 0.9% in month 4). CONCLUSIONS: Extending retroactive coverage for preparatory dialysis services could increase PD use and reduce overall Medicare spending in the uninsured.

NIH funding and the pursuit of edge science.

The National Institutes of Health (NIH) plays a critical role in funding scientific endeavors in biomedicine. Funding innovative science is an essential element of the NIH's mission, but many have questioned the NIH's ability to fulfill this aim. Based on an analysis of a comprehensive corpus of published biomedical research articles, we measure whether the NIH succeeds in funding work with novel ideas, which we term edge science. We find that edge science is more often NIH funded than less novel science, but with a delay. Papers that build on very recent ideas are NIH funded less often than are papers that build on ideas that have had a chance to mature for at least 7 y. We have three further findings. First, the tendency to fund edge science is mostly limited to basic science. Papers that build on novel clinical ideas are not more often NIH funded than are papers that build on well-established clinical knowledge. Second, novel papers tend to be NIH funded more often because there are more NIH-funded papers in innovative areas of investigation, rather than because the NIH funds innovative papers within research areas. Third, the NIH's tendency to have funded papers that build on the most recent advances has declined over time. In this regard, NIH funding has become more conservative despite initiatives to increase funding for innovative projects. Given our focus on published papers, the results reflect both the funding preferences of the NIH and the composition of the applications it receives.

Safety-Net Care for Maintenance Dialysis in the United States.

BACKGROUND: Although most American patients with ESKD become eligible for Medicare by their fourth month of dialysis, some never do. Information about where patients with limited health insurance receive maintenance dialysis has been lacking. METHODS: We identified patients initiating maintenance dialysis (2008-2015) from the US Renal Data System, defining patients as "safety-net reliant" if they were uninsured or had only Medicaid coverage at dialysis onset and had not qualified for Medicare by the fourth dialysis month. We examined four dialysis facility ownership categories according to for-profit/nonprofit status and ownership (chain versus independent). We assessed whether patients who were safety-net reliant were more likely to initiate dialysis at certain facility types. We also examined hospital-based affiliation. RESULTS: The proportion of patients <65 years initiating dialysis who were safety-net reliant increased significantly over time, from 11% to 14%; 73% of such patients started dialysis at for-profit/chain-owned facilities compared to 76% of all patients starting dialysis. Patients who were safety-net reliant had a 30% higher relative risk of initiating dialysis at nonprofit/independently owned versus for-profit/independently owned facilities (odds ratio, 1.30; 95% CI, 1.24 to 1.36); they had slightly lower relative risks of initiating dialysis at for-profit and non-profit chain-owned facilities, and were more likely to receive dialysis at hospital-based facilities. These findings primarily reflect increased likelihood of dialysis among patients without insurance at certain facility types. CONCLUSIONS: Although most patients who were safety-net reliant received care at for-profit/chain-owned facilities, they were disproportionately cared for at nonprofit/independently owned and hospital-based facilities. Ongoing loss of market share of nonprofit/independently owned outpatient dialysis facilities may affect safety net-reliant populations.

Lay Health Worker-Led Cancer Symptom Screening Intervention and the Effect on Patient-Reported Satisfaction, Health Status, Health Care Use, and Total Costs: Results From a Tri-Part Collaboration.

PURPOSE: Poor patient experiences and increasing costs from undertreated symptoms require approaches that improve patient-reported outcomes and lower expenditures. We developed and evaluated the effect of a lay health worker (LHW)-led symptom screening intervention on satisfaction, self-reported overall and mental health, health care use, total costs, and survival. METHODS: From November 1, 2015, to September 30, 2016, we enrolled in this study all newly diagnosed Medicare Advantage enrollees with stage 3 or 4 solid tumors or hematologic malignancies who were receiving care in a community oncology practice. We evaluated symptom changes from baseline to 12 months for the intervention group. We compared with a control group (a historical cohort of Medicare Advantage enrollees diagnosed with cancer from November 1, 2014, to October 31, 2015) changes in satisfaction and overall and mental health with validated assessments at diagnosis and 5 months postdiagnosis, 12-month health care use, total costs, and survival. RESULTS: Among 186 patients in the intervention group and 102 in the control group, most were female and non-Hispanic white or Hispanic, and the mean age was 79 years. There were no survival differences between the groups. Relative to the control group, the intervention group experienced improvements in satisfaction with care (difference-in-difference: 1.35; 95% CI, 1.08 to 1.63), overall health (odds ratio, 2.23; 95% CI, 1.49 to 3.32), and mental or emotional health (odds ratio, 2.22; 95% CI, 1.46 to 3.38) over time; fewer hospitalizations (mean ± standard deviation: 0.72 ± 0.96 v 1.02 ± 1.44; P = .03) and emergency department visits per 1,000 members per year (0.61 ± 0.98 v 0.92 ± 1.53; P = .03), and lower median (interquartile range) total health care costs ($21,266 [$8,102-$47,900] v $31,946 [$15,754-$57,369]; P = .02). CONCLUSION: An LHW-led symptom screening intervention could be one solution to improve value-based cancer care.

Association of residency work hour reform with long term quality and costs of care of US physicians: observational study.

OBJECTIVE: To determine whether 30 day mortality, 30 day readmissions, and inpatient spending vary according to whether physicians were exposed to work hour reforms during their residency. DESIGN: Retrospective observational study. SETTING: US Medicare. PARTICIPANTS: 20% random sample (n=485 685) of Medicare beneficiaries aged 65 years or more admitted to hospital and treated by a general internist during 2000-12. MAIN OUTCOME MEASURES: 30 day mortality, 30 day readmissions, and inpatient Medicare Part B spending among patients treated by first year internists who were fully exposed to the 2003 Accreditation Council for Graduate Medical Education (ACGME) work hour reforms during their residency (completed residency after 2006) compared with first year internists with partial or no exposure to reforms (completed residency before 2006). Senior internists not exposed to reforms during their residency served as a control group (10th year internists) for general trends in hospital care: a difference-in-difference analysis. RESULTS: Exposure of physicians to work hour reforms during their residency was not associated with statistically significant differences in 30 day mortality, 30 day readmissions, or inpatient spending. Among 485 685 hospital admissions, 30 day mortality rates during 2000-06 and 2007-12 for patients of first year internists were 10.6% (12 567 deaths/118 014 hospital admissions) and 9.6% (13 521/140 529), respectively, and for 10th year internists were 11.2% (11 018/98 811) and 10.6% (13 602/128 331), for an adjusted difference-in-difference effect of -0.1 percentage points (95% confidence interval -0.8% to 0.6%, P=0.68). 30 day readmission rates for first year internists during 2000-06 and 2007-12 were 20.4% (24 074/118 014) and 20.4% (28 689/140 529), respectively, and for 10th year internists were 20.1% (19 840/98 811) and 20.5% (26 277/128 331), for an adjusted difference-in-difference effect of 0.1 percentage points (-0.9% to 1.1%, P=0.87). Medicare Part B inpatient spending for first year internists during 2000-06 and 2007-12 was $1161 (£911; €1024) and $1267 per hospital admission, respectively, and for 10th year internists was $1331 and $1599, for an adjusted difference-in-difference effect of -$46 (95% confidence interval -$94 to $2, P=0.06). CONCLUSIONS: Exposure of internists to work hour reforms during their residency was not associated with post-training differences in patient mortality, readmissions, or costs of care.

Association of Hospitalization and Mortality Among Patients Initiating Dialysis With Hemodialysis Facility Ownership and Acquisitions.

Importance: Mergers and acquisitions among health care institutions are increasingly common, and dialysis markets have undergone several decades of mergers and acquisitions. Objective: To examine the outcomes of hemodialysis facility acquisitions independent of associated changes in market competition resulting from acquisitions. Design, Setting, and Participants: Cohort study using difference-in-differences (DID) analyses to compare changes in health outcomes over time among in-center US dialysis facilities that were acquired by a hemodialysis chain with facilities located nearby but not acquired. Multivariable Cox proportional hazards regression models and negative binomial models with predicted marginal effects were developed to examine health outcomes, controlling for patient, facility, and geographic characteristics. All facility ownership types were examined together and stratified analyses were conducted of facilities that were independently owned and chain owned prior to acquisitions. The study was conducted from January 2001 to September 2015; 174 905 patients starting in-center dialysis in the 3 years before and following dialysis facility acquisitions were included. Data were analyzed from March 2017 to December 2018. Exposures: Acquisition by a hemodialysis chain. Main Outcomes and Measures: Twelve-month hazard of death and hospital days per patient-year were the primary outcomes. Results: Of the 174 905 patients included in the study, 79 705 were women (45.6%), 24 409 (14.0%) were of Hispanic ethnicity, 61 815 (35.3%) were black, 105 272 (60.2%) were white, and 1247 (0.7%) were Native American. Mean (SD) age was 65 (15) years. Before acquisitions, adjusted mortality and hospitalization rates were 10% (95% CI, -16% to -5%) and 2.9 days per patient-year (95% CI, -3.8 to -2.0) lower, respectively, at independently owned facilities that were acquired compared with those that were not acquired, while hospitalization rates were 0.7 days (95% CI, -1.2 to -2.0) lower at chain-owned facilities that were acquired compared with those that were not acquired. In stratified analyses of independently owned facilities, mortality decreases were smaller at acquired (-8.4%; 95% CI, -14% to -25%) vs nonacquired (-20.3%; 95% CI, -25.8% to -14.3%) facilities (DID P < .001). Similarly, hospitalization rates did not change at acquired facilities and decreased by 2.6 days per patient-year (95% CI, -3.6 to -1.7 days) at nonacquired facilities (DID P < .001). Acquisitions were not associated with changes in health outcomes at chain-owned facilities. Slower reductions in mortality and hospitalization rates at independently owned facilities contributed to significant differences in hospitalizations (-2.0 days; 95% CI, -2.5 to -1.6, at nonacquired vs 0.9 days; 95% CI, -1.3 to -0.5, at acquired facilities; DID, P < .001) across all ownership types but not mortality (DID, P = .28) with regard to acquisitions. Conclusions and Relevance: Acquisition of independently owned dialysis facilities by larger dialysis organizations was associated with slower decreases in mortality and hospitalization rates, as nonacquired facilities appeared to experience more rapid improvements in outcomes over time.

Comparing demographic and health characteristics of new and existing SNAP recipients: application of a machine learning algorithm.

BACKGROUND: The Supplemental Nutrition Assistance Program (SNAP) expanded significantly after the Great Recession of 2008-2009, but no studies have characterized this new group of recipients. Few data sets provide details on whether an individual is a new or established recipient of SNAP. OBJECTIVE: We sought to identify new and existing SNAP recipients, and to examine differences in sociodemographic characteristics, health, nutritional status, and food purchasing behavior between new and existing recipients of SNAP after the recession. METHODS: We created a probabilistic algorithm to identify new and existing SNAP recipients using the 1999-2013 waves of the Panel Study of Income Dynamics. We applied this algorithm to the National Household Food Acquisition and Purchase Survey (FoodAPS), fielded during 2012-2013, to predict which individuals were likely to be new SNAP recipients. We then compared health and nutrition characteristics between new, existing, and never recipients of SNAP in FoodAPS. RESULTS: New adult SNAP recipients had higher socioeconomic status, better self-reported health, and greater food security relative to existing recipients, and were more likely to smoke relative to never recipients. New child SNAP recipients were less likely to eat all meals and had lower BMI relative to existing recipients. New SNAP households exhibited differences in food access and expenditures, although dietary quality was similar to that of existing SNAP households. CONCLUSION: We developed a novel algorithm for predicting new and existing SNAP recipiency that can be applied to other data sets, and subsequently demonstrated differences in health characteristics between new and existing recipients. The expansion of SNAP since the Great Recession enrolled a population that differed from the existing SNAP population and that may benefit from different types of nutritional and health services than those traditionally offered.

Prior Hospitalization Burden and the Relatedness of 30-Day Readmissions in Patients Receiving Hemodialysis.

BACKGROUND: Thirty-day readmissions are common in patients receiving hemodialysis and costly to Medicare. Because patients on hemodialysis have a high background hospitalization rate, 30-day readmissions might be less likely related to the index hospitalization than in patients with other conditions. METHODS: In adults with Medicare receiving hemodialysis in the United States, we used multinomial logistic regression to evaluate whether prior hospitalization burden was associated with increased 30-day readmissions unrelated to index hospitalizations with a discharge date from January 1, 2013 to December 31, 2014. We categorized a hospitalization, 30-day readmission pair as "related" if the principal diagnoses came from the same organ system. RESULTS: The adjusted probability of unrelated 30-day readmission after any index hospitalization was 19.1% (95% confidence interval [95% CI] 18.9% to 19.3%), 22.6% (95% CI, 22.4% to 22.8%), and 31.2% (95% CI, 30.8% to 31.5%) in patients with 0-1, 2-4, and ≥5 hospitalizations, respectively. Cardiovascular index hospitalizations had the highest adjusted probability of related 30-day readmission: 10.4% (95% CI, 10.2% to 10.7%), 13.6% (95% CI, 13.4% to 13.9%), and 20.8% (95% CI, 20.2% to 21.4%), respectively. Renal index hospitalizations had the lowest adjusted probability of related 30-day readmission: 2.0% (95% CI, 1.8% to 2.3%), 3.9% (95% CI, 3.4% to 4.4%), and 5.1% (95% CI, 4.3% to 5.9%), respectively. CONCLUSIONS: High prior hospitalization burden increases the likelihood that patients receiving hemodialysis experience a 30-day readmission unrelated to the index hospitalization. Health care payers such as Medicare should consider incorporating clinical relatedness into 30-day readmission quality measures.