Differential Hospital Participation in Bundled Payments in Communities with Higher Shares of Marginalized Populations.

BACKGROUND: Medicare's voluntary bundled payment programs have demonstrated generally favorable results. However, it remains unknown whether uneven hospital participation in these programs in communities with greater shares of minorities and patients of low socioeconomic status results in disparate access to practice redesign innovations. OBJECTIVE: Examine whether communities with higher proportions of marginalized individuals were less likely to be served by a hospital participating in Bundled Payments for Care Improvement Advanced (BPCI-Advanced). DESIGN: Cross-sectional study using ordinary least squares regression controlling for patient and community factors. PARTICIPANTS: Medicare fee-for-service patients enrolled from 2015-2017 (pre-BPCI-Advanced) and residing in 2,058 local communities nationwide defined by Hospital Service Areas (HSAs). Each community's share of marginalized patients was calculated separately for each of the share of beneficiaries of Black race, Hispanic ethnicity, or dual eligibility for Medicare and Medicaid. MAIN MEASURES: Dichotomous variable indicating whether a given community had at least one hospital that ever participated in BPCI-Advanced from 2018-2022. KEY RESULTS: Communities with higher shares of dual-eligible individuals were less likely to be served by a hospital participating in BPCI-Advanced than communities with the lowest quartile of dual-eligible individuals (Q4: -15.1 percentage points [pp] lower than Q1, 95% CI: -21.0 to -9.1, p < 0.001). There was no consistent significant relationship between community proportion of Black beneficiaries and likelihood of having a hospital participating in BPCI-Advanced. Communities with higher shares of Hispanic beneficiaries were more likely to have a hospital participating in BPCI-Advanced than those in the lowest quartile (Q4: 19.2 pp higher than Q1, 95% CI: 13.4 to 24.9, p < 0.001). CONCLUSIONS: Communities with greater shares of dual-eligible beneficiaries, but not racial or ethnic minorities, were less likely to be served by a hospital participating in BPCI-Advanced Policymakers should consider approaches to incentivize more socioeconomically uniform participation in voluntary bundled payments.

Clinician Perspectives on Virtual Specialty Palliative Care for Patients With Advanced Illnesses.

Background: Patients with serious illnesses have unmet symptom and psychosocial needs. Specialty palliative care could address many of these needs; however, access varies by geography and health system. Virtual visits and automated referrals could increase access and lead to improved quality of life, health outcomes, and patient-centered care for patients with serious illness. Objectives: We sought to understand referring clinician perspectives on barriers and facilitators to utilizing virtual tools to increase upstream access to palliative care. Design: Participants in this multisite qualitative study included practicing clinicians who commonly place palliative care referrals across multiple specialties, including hematology/oncology, family medicine, cardiology, and geriatrics. All interviews were transcribed and subsequently coded and analyzed by trained research coordinators using Atlas.ti software. Settings/Subjects: This study included 23 clinicians (21 physicians, 2 nonphysicians) across 5 specialties, 4 practice settings, and 7 states in the United States. Results: Respondents felt that community-based specialty palliative services including symptom management, advance care planning, physical therapy, and mental health counseling would benefit their patients. However, they had mixed feelings about automated referrals, with some clinicians feeling hesitant about not being alerted to such referrals. Many respondents were supportive of virtual palliative care, particularly for those who may have difficulty accessing physician offices, but most respondents felt that such care should only be provided after an initial in-person consultation where clinicians can meet face-to-face with patients. Conclusion: Clinicians believe that automated referrals and virtual palliative care could increase access to the benefits of specialty palliative care. However, virtual palliative care models should give attention to iterative communication with primary clinicians and the perceived need for an initial in-person visit.

Association of Electronic Self-Scheduling and Screening Mammogram Completion.

INTRODUCTION: The purpose of this study was to evaluate if an electronic health record (EHR) self-scheduling function was associated with changes in mammogram completion for primary care patients who were eligible for a screening mammogram using U.S. Preventive Service Task Force recommendations. METHODS: This was a retrospective cohort study (September 1, 2014-August 31, 2019, analyses completed in 2022) using a difference-in-differences design to examine mammogram completion before versus after the implementation of self-scheduling. The difference-in-differences estimate was the interaction between time (pre-versus post-implementation) and group (active EHR patient portal versus inactive EHR patient portal). The primary outcome was mammogram completion among all eligible patients, with completion defined as receiving a mammogram within 6 months post-visit. The secondary outcome was mammogram completion among patients who received a clinician order during their visit. RESULTS: The primary analysis included 35,257 patient visits. The overall mammogram completion rate in the pre-period was 22.2% and 49.7% in the post-period. EHR self-scheduling was significantly associated with increased mammogram completion among those with an active EHR portal, relative to patients with an inactive portal (adjusted difference 13.2 percentage points [95% CI 10.6-15.8]). For patients who received a clinician mammogram order at their eligible visit, self-scheduling was significantly associated with increased mammogram completion among patients with an active EHR portal account (adjusted difference 14.7 percentage points, [95% CI 10.9-18.5]). CONCLUSIONS: EHR-based self-scheduling was associated with a significant increase in mammogram completion among primary care patients. Self-scheduling can be a low-cost, scalable function for increasing preventive cancer screenings.

Eliminating Algorithmic Racial Bias in Clinical Decision Support Algorithms: Use Cases from the Veterans Health Administration.

The Veterans Health Administration uses equity- and evidence-based principles to examine, correct, and eliminate use of potentially biased clinical equations and predictive models. We discuss the processes, successes, challenges, and next steps in four examples. We detail elimination of the race modifier for estimated kidney function and discuss steps to achieve more equitable pulmonary function testing measurement. We detail the use of equity lenses in two predictive clinical modeling tools: Stratification Tool for Opioid Risk Mitigation (STORM) and Care Assessment Need (CAN) predictive models. We conclude with consideration of ways to advance racial health equity in clinical decision support algorithms.

The role of payment and financing in achieving health equity.

OBJECTIVE: The aim was to identify healthcare payment and financing reforms to promote health equity and ways that the Agency for Healthcare Research and Quality (AHRQ) may promote those reforms. DATA SOURCES AND STUDY SETTING: AHRQ convened a payment and financing workgroup-the authors of this paper-as part of its Health Equity Summit held in July 2022. This workgroup drew from its collective experience with healthcare payment and financing reform, as well as feedback from participants in a session at the Health Equity Summit, to identify the evidence base and promising paths for reforms to promote health equity. STUDY DESIGN: The payment and financing workgroup developed an outline of reforms to promote health equity, presented the outline to participants in the payment and financing session of the July 2022 AHRQ Health Equity Summit, and integrated feedback from the participants. DATA COLLECTION/EXTRACTION METHODS: This paper did not require novel data collection; the authors collected the data from the existing evidence base. PRINCIPAL FINDINGS: The paper outlines root causes of health inequity and corresponding potential reforms in five domains: (1) the differential distribution of resources between healthcare providers serving different communities, (2) scarcity of financing for populations most in need, (3) lack of integration/accountability, (4) patient cost barriers to care, and (5) bias in provider behavior and diagnostic tools. CONCLUSIONS: Additional research is necessary to determine whether the proposed reforms are effective in promoting health equity.

Pneumonia is not just pneumonia: Differences in utilization and costs with common comorbidities.

We sought to explore the heterogeneity among patients hospitalized with pneumonia, a condition targeted in payment reform. In a retrospective cohort study of Medicare beneficiaries hospitalized for pneumonia, we compared postacute care utilization and costs of 90-day episodes of care among patients with and without comorbidities of chronic obstructive pulmonary disease (COPD) and/or heart failure. Of the 1,926,674 discharges, 28.1% had COPD, 14.3% had heart failure, and 14.6% carried both diagnoses. Patients with pneumonia were more likely to be discharged to a facility than those with pneumonia and COPD with or without heart failure, though less likely than those with pneumonia and heart failure only. Compared to patients with pneumonia only, patients with COPD and/or heart failure had higher episode payments. Acute conditions such as pneumonia may hold promise for episode-based care payment reform; however, the heterogeneity within this diagnosis indicates the need to consider other patient characteristics in interventions to improve value-based care.

Spending patterns among commercially insured individuals during the COVID-19 pandemic.

OBJECTIVES: To describe trends in US health care spending in a large, national, and commercially insured population during the COVID-19 pandemic. STUDY DESIGN: Cross-sectional study of commercially insured members enrolled between May 1, 2018, and December 31, 2021. METHODS: The study utilized a population-based sample of continuously enrolled members in a geographically diverse federation of Blue Cross Blue Shield plans across the United States. Our sample excluded Medicare and Medicare Advantage beneficiaries. The COVID-19 exposure period was defined as 2020-2021; 2018-2019 were pre-COVID-19 years. We defined 4 post-COVID-19 periods: March 1 to April 30, 2020; May 1 to December 31, 2020; January 1 to March 31, 2021; and April 1 to December 31, 2021. The primary outcome was inflation-adjusted overall per-member per-month (PMPM) medical spending adjusted for age, sex, Elixhauser comorbidities, area-level racial composition, income, and education. RESULTS: Our sample included 97,319,130 individuals. Mean PMPM medical spending decreased from $370.92 in January-February 2020 to $281.00 in March-April 2020. Between May and December 2020, mean PMPM medical spending recovered to-but did not exceed-prepandemic levels. Mean PMPM medical spending stayed below prepandemic levels between January and March 2021, rose above prepandemic baselines between April and June 2021, and decreased below baseline between July and December 2021. CONCLUSIONS: The COVID-19 pandemic induced a spending shock in 2020, and health care spending did not recover to near baseline until mid-2021, with some emerging evidence of pent-up demand. The observed spending below baseline through the end of 2021 will pose challenges to setting spending benchmarks for alternative payment and shared savings models.

Association of High-Deductible Health Plans With Health Care Use and Costs for Patients With Cardiovascular Disease.

Background By increasing cost sharing, high-deductible health plans (HDHPs) aim to reduce low-value health care use. The association of HDHPs with health care use and costs in patients with chronic cardiovascular disease is unknown. Methods and Results This longitudinal cohort study analyzed 57 690 privately insured patients, aged 18 to 64 years, from a large commercial claims database with chronic cardiovascular disease from 2011 to 2019. Health care entities in which all or most beneficiaries switched from being in a traditional plan to an HDHP were identified. A difference-in-differences design was used to account for differences between individuals who remained in traditional plans and those who switched to HDHPs and to assess changes in health care use and costs. Among the 934 individuals in the HDHP group and the 56 756 in the traditional plan group, switching to an HDHP was not associated with statistically significant changes in annual outpatient visits, hospitalizations, or emergency department visits (-8.3% [95% CI, -16.8 to 1.1], -28.5% [95% CI, -62.1 to 34.6], and 11.2% [95% CI, -20.9 to 56.5], respectively). Switching to an HDHP was associated with an increase of $921 (95% CI, $743-$1099) in out-of-pocket costs but no statistically significant difference in total health care costs. Conclusions Among commercially insured patients with chronic cardiovascular disease, switching to an HDHP was not associated with a change in health care use but was associated with an increase in out-of-pocket costs. Although health care use by individuals with chronic cardiovascular disease may not be sensitive to higher cost sharing associated with HDHP enrollment, there may be a significant increase in patients' financial burden.

Principles to Inform Risk Adjustment Policy: Reflection From the Front Lines.

This Viewpoint discusses the benefits and drawbacks of current risk adjustment tools, outlines the pressures clinicians may face to use these tools, and proposes principles and policy solutions to ensure that risk adjustment is clinically meaningful and to minimize gaming and waste.

Growth of Medicare Advantage After Plan Payment Reductions.

Importance: Various policy proposals would reduce federal payments to Medicare Advantage (MA) plans. However, it is unclear whether payment reductions would compromise beneficiary access to the MA program. Objective: To quantify the association between MA payment reductions under the Affordable Care Act (ACA) and MA enrollment growth. Design, Setting, and Participants: This retrospective cohort study examined the MA market before and after the ACA, which mandated cuts to MA benchmark payment rates. Using 2008 to 2019 county-level enrollment and payment data, a difference-in-differences analysis was conducted comparing MA enrollment changes between counties with larger vs smaller benchmark reductions, before vs after the ACA. Main Outcomes and Measures: The primary outcome was the MA enrollment rate, defined as the proportion of a county's Medicare beneficiaries enrolled in MA. A secondary analysis examined MA plan payments per member per month. Results: Among 3138 counties with 37 639 county-year observations, ACA-induced benchmark cuts were sizeable and varied, ranging from 0% to 42.9% (mean [SD], 5.9% [6.6%]). Counties with benchmark cuts above the 75th percentile had population-weighted average benchmark cuts of 14.9% compared with 4.4% in other counties. In the 8 years following the ACA, there was no differential change in MA enrollment between counties with larger vs smaller benchmark cuts (difference-in-differences estimate, 0.02 [95% CI, -1.18 to 1.21] percentage points; P = .98). Plan payments differentially fell in counties with larger benchmark cuts by $78.35 (95% CI, $62.21-$94.48) per member per month (P < .001). Conclusion and Relevance: This cohort study found no evidence that the MA benchmark and ensuing payment cuts imposed by the ACA were associated with reduced MA enrollment, compromising access to MA. This evidence can inform ongoing policy debates regarding the growth of MA, concerns about excess payments to MA plans, and proposed Medicare reforms, including further reductions in MA payments.

Association Between a Bundled Payment Program for Lower Extremity Joint Replacement and Patient Outcomes Among Medicare Advantage Beneficiaries.

Importance: Much of the evidence for bundled payments has been drawn from models in the traditional Medicare program. Although private insurers are increasingly offering bundled payment programs, it is not known whether they are associated with changes in episode spending and quality. Objective: To evaluate whether a voluntary bundled payment program offered by a national Medicare Advantage insurer was associated with changes in episode spending or quality of care for beneficiaries receiving lower extremity joint replacement (LEJR) surgery. Design, Setting, and Participants: Cross-sectional study of 23 034 LEJR surgical episodes that emulated a stepped-wedge design by using the time-varying, geographically staggered rollout of the bundled payment program from January 1, 2012, to September 30, 2019. Episode-level multivariable regression models were estimated within practice to compare changes before and after program participation, using episodes at physician practices that had not yet begun participating in the program during a given time period (but would go on to do so) as the control. Data analyses were performed from July 1, 2021, to June 30, 2022. Exposures: Physician practice participation in the bundled payment program. Main Outcomes and Measures: The primary outcome was episode spending (plan and beneficiary). Secondary outcomes included postacute care use (skilled nursing facility and home health care), surgical setting (inpatient vs outpatient), and quality (90-day complications [including deep vein thrombosis, wound infection, fracture, or dislocation] and readmissions). Results: The final analytic sample included 23 034 LEJR episodes (6355 bundled episodes and 16 679 control episodes) from 109 physician practices participating in the program. Of the beneficiaries, 7730 were male and 15 304 were female, 3057 were Black, 19 351 were White, 447 were of other race or ethnicity (assessed according to the Centers for Medicare & Medicaid Services beneficiary race and ethnicity code, which reflects data reported to the Social Security Administration), and 179 were of unknown race and ethnicity. The mean (SD) age was 70.9 (7.2) years. Participation in the bundled payment program was associated with a 2.7% (95% CI, 1.3%-4.1%) decrease in spending per episode (mean episodic spending, $21 964 [95% CI, $21 636-$22 296] vs $22 562 [95% CI, $22 346-$22 779]), as well as reductions in skilled nursing facility use after discharge (21.3% for bundled episodes vs 25.0% for control episodes; odds ratio [OR], 0.81 [95% CI, 0.67-0.98]) and increased use of the outpatient surgical setting (14.1% for bundled episodes vs 8.4% for control episodes; OR, 1.79 [95% CI, 1.53-2.09]). The program was not associated with changes in quality outcomes, including 90-day complications (8.8% for bundled episodes vs 8.6% for control episodes; OR, 1.02 [95% CI, 0.86-1.20]) and readmissions (4.3% for bundled episodes vs 4.6% for control episodes; OR, 0.92 [95% CI, 0.75-1.13]). Conclusions and Relevance: In this study of an LEJR bundled payment program offered by a national Medicare Advantage insurer, findings suggest that physician practice participation in the program was associated with a decrease in episode spending without changes in quality. Bundled payments offered by private insurers, including Medicare Advantage plans, are an alternate payment option to fee for service that may reduce spending for LEJR episodes while maintaining quality of care.

How Physician Self-Perceptions Affect the Impact of Peer Comparison Feedback on Opioid Prescribing.

Peer comparison feedback is a promising strategy for reducing opioid prescribing and opioid-related harms. Such comparisons may be particularly impactful among underestimating clinicians who do not perceive themselves as high prescribers relative to their peers. But peer comparisons could also unintentionally increase prescribing among overestimating clinicians who do not perceive themselves as lower prescribers than peers. The objective of this study was to assess if the impact of peer comparisons varied by clinicians' preexisting opioid prescribing self-perceptions. Subgroup analysis of a randomized trial of peer comparison interventions among emergency department and urgent care clinicians was used. Generalized mixed-effects models were used to assess whether the impact of peer comparisons, alone or combined with individual feedback, varied by underestimating or overestimating prescriber status. Underestimating and overestimating prescribers were defined as those who self-reported relative prescribing amounts that were lower and higher, respectively, than actual relative baseline amounts. The primary outcome was pills per opioid prescription. Among 438 clinicians, 54% (n = 236) provided baseline prescribing self-perceptions and were included in this analysis. Overall, 17% (n = 40) were underestimating prescribers whereas 5% (n = 11) were overestimating prescribers. Underestimating prescribers exhibited a differentially greater decrease in pills per prescription compared to nonunderestimating clinicians when receiving peer comparison feedback (1.7 pills, 95% CI, -3.2 to -0.2 pills) or combined peer and individual feedback (2.8 pills, 95% CI, -4.8 to -0.8 pills). In contrast, there were no differential changes in pills per prescription for overestimating versus nonoverestimating prescribers after receiving peer comparison (1.5 pills, 95% CI, -0.9 to 3.9 pills) or combined peer and individual feedback (3.0 pills, 95% CI, -0.3 to 6.2 pills). Peer comparisons were more impactful among clinicians who underestimated their prescribing compared to peers. By correcting inaccurate self-perceptions, peer comparison feedback can be an effective strategy for influencing opioid prescribing.

Hospital Consolidation: The Rise of Geographically Distant Mergers.

This Viewpoint discusses how and why cross-market hospital mergers are different than prototypical within-market mergers in their effects on patients and communities, why the trend may be accelerating, and future policy and research directions.

Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic.

Sudden changes in health care utilization during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic may have impacted the performance of clinical predictive models that were trained prior to the pandemic. In this study, we evaluated the performance over time of a machine learning, electronic health record-based mortality prediction algorithm currently used in clinical practice to identify patients with cancer who may benefit from early advance care planning conversations. We show that during the pandemic period, algorithm identification of high-risk patients had a substantial and sustained decline. Decreases in laboratory utilization during the peak of the pandemic may have contributed to drift. Calibration and overall discrimination did not markedly decline during the pandemic. This argues for careful attention to the performance and retraining of predictive algorithms that use inputs from the pandemic period.

Clinician Perceptions of Receiving Different Forms of Feedback on their Opioid Prescribing.

Opioid misuse represents a major public health issue in the United States. One driver is overprescription for acute pain, with the size of initial prescription associated with subsequent long-term use. However, little work has been done to elicit clinician feedback about interventions to reduce opioid prescribing. To address this knowledge gap, qualitative analyses were conducted with clinicians who participated in a randomized controlled trial in which clinicians received monthly emailed feedback notifications about their opioid prescribing behaviors. Semistructured telephone interviews were conducted (N = 12) with urgent care (N = 7) and emergency department (N = 5) clinicians who participated in the trial between November 2020 and April 2021. Clinicians appreciated feedback about their prescribing behavior and found comparative data with peer clinicians to be most useful. Sharing opioid prescribing feedback data with clinicians can be an acceptable way to address opioid prescribing among emergency and urgent care clinicians.

Performance of Physician Groups and Hospitals Participating in Bundled Payments Among Medicare Beneficiaries.

Importance: Hospital participation in bundled payment initiatives has been associated with financial savings and stable quality of care. However, how physician group practices (PGPs) perform in bundled payments compared with hospitals remains unknown. Objectives: To evaluate the association of PGP participation in the Bundled Payments for Care Improvement (BPCI) initiative with episode outcomes and to compare these with outcomes for participating hospitals. Design, Settings, and Participants: This cohort study with a difference-in-differences analysis used 2011 to 2018 Medicare claims data to compare the association of BPCI participation with episode outcomes for PGPs vs hospitals providing medical and surgical care to Medicare beneficiaries. Data analyses were conducted from January 1, 2020, to May 31, 2022. Exposures: Hospitalization for any of the 10 highest-volume episodes (5 medical and 5 surgical) included in the BPCI initiative for Medicare patients of participating PGPs and hospitals. Main Outcomes and Measures: The primary outcome was 90-day total episode spending. Secondary outcomes were 90-day readmissions and mortality. Results: The total sample comprised data from 1 288 781 Medicare beneficiaries, of whom 696 710 (mean [SD] age, 76.2 [10.8] years; 432 429 [59.7%] women; 619 655 [85.5%] White individuals) received care through 379 BPCI-participating hospitals and 1441 propensity-matched non-BPCI-participating hospitals, and 592 071 (mean [SD] age, 75.4 [10.9] years; 527 574 [86.6%] women; 360 835 [59.3%] White individuals) received care from 6405 physicians in BPCI-participating PGPs and 24 758 propensity-matched physicians in non-BPCI-participating PGPs. For PGPs, BPCI participation was associated with greater reductions in episode spending for surgical (difference, -$1368; 95% CI, -$1648 to -$1088) but not for medical episodes (difference, -$101; 95% CI, -$410 to $206). Hospital participation in BPCI was associated with greater reductions in episode spending for both surgical (-$1010; 95% CI, -$1345 to -$675) and medical (-$763; 95% CI, -$1139 to -$386) episodes. Conclusions and Relevance: This cohort study and difference-in-differences analysis of PGPs and hospital participation in BPCI found that bundled payments were associated with cost savings for surgical episodes for PGPs, and savings for both surgical and medical episodes for hospitals. Policy makers should consider the comparative performance of participant types when designing and evaluating bundled payment models.

The Association between Bundled Payment Participation and Changes in Medical Episode Outcomes among High-Risk Patients.

Background: Bundled payments for medical conditions are associated with stable quality and savings through shorter skilled nursing facility (SNF) length of stay. However, effects among clinically higher-risk patients remain unknown. Objective: To evaluate whether the association between participation in bundled payments for medical conditions and episode outcomes differed for clinically high-risk versus other patients. Design: Retrospective difference-in-differences analysis; Participants: 471,421 Medicare patients hospitalized at bundled payment and propensity-matched non-participating hospitals. Exposures were 5 measures of clinically high-risk groups: advanced age (>85 years old), high case-mix, disabled, frail, and prior institutional post-acute care provider utilization. Main Measures: Primary outcomes were SNF length of stay and 90-day unplanned readmissions. Secondary outcomes included quality, utilization, and spending measures. Key Results: SNF length of stay was differentially lower among frail patients (aDID −0.4 days versus non-frail patients, 95% CI −0.8 to −0.1 days), patients with advanced age (aDID −0.8 days versus younger patients, 95% CI −1.2 to −0.3 days), and those with prior institutional post-acute care provider utilization (aDID −1.1 days versus patients without prior utilization, 95% CI −1.6 to −0.6 days), compared to non-frail, younger, and patients without prior utilization, respectively. BPCI participation was also associated with differentially greater SNF LOS among disabled patients (aDID 0.8 days versus non-disabled patients, 95% CI 0.4 to 1.2 days, p < 0.001). Bundled payment participation was not associated with differential changes in readmissions in any high-risk group but was associated with changes in secondary outcomes for some groups. Conclusions: Changes under medical bundles affected, but did not indiscriminately apply to, high-risk patient groups.

Organizational capacity among hospitals in Medicare and commercial bundled payments.

OBJECTIVES: Hospitals must strategically build organizational capacities to succeed in bundled payment arrangements. Given differences between Medicare and commercial arrangements, capacities may vary between hospitals in Medicare vs both Medicare and commercial bundled payment programs. This study compared organizational capacities between these 2 hospital groups. STUDY DESIGN: National survey of American Hospital Association (AHA) member hospitals with experience in bundled payment programs. METHODS: We analyzed data from October 31, 2017, to April 30, 2018, collected from AHA member hospitals with bundled payment experience in only Medicare (Medicare-only hospitals) or in both Medicare and commercial insurers (multipayer hospitals). Survey questions examined capacity in 4 areas: (1) physician performance feedback, (2) care management, (3) postacute care provider utilization, and (4) health information technology. RESULTS: Our sample included 114 hospitals reporting experience in Medicare or commercial bundled payment programs. Both Medicare-only and multipayer hospitals reported high organizational capacities in performance measurement of physician-level quality and cost feedback and in incorporation of health information technology. More multipayer hospitals reported high capacity for coordinating hospital to postacute care settings (88% vs 52%). Although nearly all hospitals in both groups reported formalized relationships with skilled nursing facilities (98%), fewer hospitals reported such relationships with long-term acute care hospitals (83%) and inpatient rehabilitation facilities (80%). CONCLUSIONS: Although they have similar capacity in a number of areas, Medicare-only and multipayer hospitals differed with respect to other aspects of organizational capacity.

Characteristics of Hospitals Eligible for Rural Emergency Hospital Designation.

This cross-sectional study compares the characteristics, finances, services, and challenges at hospitals that are eligible vs not eligible to become rural emergency hospitals.