ACO Clinicians Have Higher Medicare Part B Medical Services Payments Than MIPS Clinicians Under the Quality Payment Program.

The Quality Payment Program (QPP) is a Medicare value-based payment program with 2 tracks: -Advanced Alternative Payment Models (A-APMs), including two-sided risk Accountable Care Organizations (ACOs), and Merit-based Incentive Payment System (MIPS). In 2020, A-APM eligible ACO clinicians received an additional 5% positive, and MIPS clinicians received up to 5% negative or 2% positive performance-based adjustments to their Medicare Part B medical services payments. It is unclear whether the different payment adjustments have differential impacts on total medical services payments for ACO and MIPS participants. We compare Medicare Part B medical services payments received by primary care clinicians participating in ACO and MIPS programs using Medicare Provider Utilization and Payment Public Use Files from 2014 to 2018 using difference-in-differences regressions. We have 254 395 observations from 50 879 unique clinicians (ACO = 37.86%; MIPS = 62.14%). Regression results suggest that ACO clinicians have significantly higher Medicare Part B medical services payments ($1003.88; 95% CI: [579.08, 1428.69]) when compared to MIPS clinicians. Our findings suggest that ACO clinicians had a greater increase in medical services payments when compared to MIPS clinicians following QPP participation. Increased payments for Medicare Part B medical services among ACO clinicians may be driven partly by higher payment adjustment rates for ACO clinicians for Part B medical services. However, increased Part B medical services payments could also reflect clinicians switching to increased outpatient services to prevent potentially costly inpatient services. Policymakers should examine both aspects when evaluating QPP effectiveness.

Financial Performance of Accountable Care Organizations: A 5-Year National Empirical Analysis.

GOALS: Of 513 accountable care organizations (ACOs) participating in the Medicare Shared Savings Program (MSSP) in 2020, 67% generated a positive shared savings of approximately $2.3 billion. This research aimed to examine their financial performance trends and drivers over time. METHODS: The unit of analysis was the ACO in each year of the study period from 2016 to 2020. The dependent variable was the ACOs' total shared savings earned annually per beneficiary. The independent variables included ACO age, risk model, clinician staffing type, and provider type (hybrid, hospital-led, or physician-led). Covariates were the average risk score among beneficiaries, payer type, and calendar year. The Centers for Medicare & Medicaid Services (CMS) public use files (PUFs) and a commercial healthcare data aggregator were the data sources. RESULTS: ACOs' earned shared savings grew annually by 35%, while the proportions of ACOs with positive shared savings grew by 21%. For 1-year increase in ACO age, an additional $0.57 of shared savings per beneficiary was observed. ACOs with two-sided risk contracting were associated with an average marginal increase of $109 in shared savings per beneficiary compared to ACOs with one-sided risk contracting. Primary care physicians were associated with the greatest increase in earned shared savings per beneficiary. In contrast, nurse practitioners/physician assistants/clinical nurse specialists were associated with a reduction in earned shared savings. Under a one-sided risk model, hospital-led ACOs were associated with $18 higher average shared savings earning per beneficiary compared to hybrid ACOs, while physician-led ACOs were associated with lower average saved shared earnings per beneficiary at -$2 compared to hybrid ACOs. Provider-type results were not statistically significant at the 5% nominal level. No statistically significant differences were observed between provider types under a two-sided risk model. PRACTICAL APPLICATIONS: For all ACO provider types, building broader primary care provider networks was correlated with positive financial results. Future research should examine whether ACOs are conducting specific preventive screenings for cancer or monitoring conditions such as diabetes, hypertension, heart disease, obesity, mental disorders, and joint disorders. Such studies may answer health policy and strategy questions about the effects of incentives for improved ACO performance in serving a healthier population.

Cost Reduction and Utilization Patterns in a Medicare Accountable Care Organization Using Home-Based Palliative Care Services.

Accountable care organizations (ACOs) are often tasked with helping providers to deliver care efficiently and with higher quality outcomes. For an ACO to succeed in delivering efficient care, it is important to direct resources toward patients who exhibit the greatest levels of opportunity while focusing attention toward mitigating their needs. Home-based palliative care (HBPC) services are known to address patient needs for those with serious illness while decreasing the total cost of care (TCC). In this retrospective review, ACO researchers reviewed cost, quality, and utilization patterns for 3418 beneficiaries within a Medicare Shared Saving Program approaching the end of life comparing decedents who received HBPC versus those who did not receive the service. Those individuals who received HBPC services were significantly less likely to be hospitalized (51% reduction in the HBPC group), more likely to use hospice (70% vs. 43%; P = 0.001), and their TCC was less than that of those who did not receive the service ($27,203 vs. $36,089: P = 0.0163). Although more research needs to be done to understand the specific components of care delivery that are helpful in decreasing unnecessary utilization, in this retrospective review in an accountable care population, HBPC is associated with a significant decrease in cost and utilization in a population approaching end of life.

Cost, Utilization, and Patient and Family Experience With ACO-Based Pediatric Care Management.

BACKGROUND AND OBJECTIVES: Children and Youth with Special Health Care Needs have high healthcare utilization, fragmented care, and unmet health needs. Accountable Care Organizations (ACOs) increasingly use pediatric care management to improve quality and reduce unnecessary utilization. We evaluated effects of pediatric care management on total medical expense (TME) and utilization; perceived quality of care coordination, unmet needs, and patient and family experience; and differential impact by payor, risk score, care manager discipline, and behavioral health diagnosis. METHODS: Mixed-methods analysis including claims using quasi-stepped-wedge design pre and postenrollment to estimate difference-in-differences, participant survey, and semistructured interviews. Participants included 1321 patients with medical, behavioral, or social needs, high utilization, in Medicaid or commercial ACOs, and enrolled in multidisciplinary, primary care-embedded care management. RESULTS: TME significantly declined 1 to 6 months postenrollment and continued through 19 to 24 months (-$645.48 per member per month, P < .001). Emergency department and inpatient utilization significantly decreased 7 to 12 months post-enrollment and persisted through 19 to 24 months (-29% emergency department, P = .012; -82% inpatient, P < .001). Of respondents, 87.2% of survey respondents were somewhat or very satisfied with care coordination, 56.1% received education coordination when needed, and 81.5% had no unmet health needs. Emergency department or inpatient utilization decreases were consistent across payors and care manager disciplines, occurred sooner with behavioral health diagnoses, and were significant among children with above-median risk scores. Satisfaction and experience were equivalent across groups, with more unmet needs and frustration with above-median risk scores. CONCLUSIONS: Pediatric care management in multipayor ACOs may effectively reduce TME and utilization and clinically provide high-quality care coordination, including education and family stress, with high participant satisfaction.

Opportunities for Savings in Risk Arrangements for Oncologic Care.

Importance: As the US accelerates adoption of alternative payment through global payment models such as Accountable Care Organizations (ACOs) or Medicare Advantage (MA), high spending for cancer care is a potential target for savings. Objective: To quantify the extent to which ACOs and other risk-bearing organizations operating in a specific geographic area (hospital referral region [HRR]) could achieve savings by steering patients to efficient medical oncology practices. Design, Setting, and Participants: This observational study included serial cross-sections of Medicare beneficiaries with cancer from 2010 to 2018. Data were analyzed from August 2021 to March 2023. Main Outcomes and Measures: Total spending and spending by category in the 1-year period following an index visit for a patient with newly diagnosed (incident) or poor-prognosis cancer. Results: The incident cohort included 1 309 825 patients with a mean age of 74.0 years; the most common cancer types were breast (21.4%), lung (16.7%), and colorectal cancer (10.0%). The poor prognosis cohort included 1 429 973 (mean age, 72.7 years); the most common cancer types were lung (26.6%), lymphoma (11.7%), and leukemia (7.3%). Options for steering varied across markets; the top quartile market had 10 or more oncology practices, but the bottom quartile had 3 or fewer oncology practices. Total spending (including Medicare Part D) in the incident cohort increased from a mean of $57 314 in 2009 to 2010 to $66 028 in 2016 to 2017. Within markets, total spending for practices in the highest spending quartile was 19% higher than in the lowest quartile. Hospital spending was the single largest component of spending in both time periods ($20 390 and $19 718, respectively) followed by Part B (infused) chemotherapy ($8022 and $11 699). Correlations in practice-level spending between the first-year (2009) and second-year (2010) spending were high (>0.90 in all categories with most >0.98), but these attenuated over time. Conclusions and Relevance: These results suggest there may be opportunities for ACOs and other risk-bearing organizations to select or drive referrals to lower-spending oncology practices in many local markets.

Accountable care organizations and use of surgery among patients with Alzheimer disease and related dementias.

OBJECTIVE: To understand the effects of accountable care organizations (ACOs) on use of surgery in patients with Alzheimer disease and related dementias (ADRD). STUDY DESIGN: Retrospective national cohort study of all Medicare beneficiaries identified in a 20% sample between 2010 and 2017. The primary exposure was participation in ACOs. The primary outcome was use of 1 of 6 common surgical procedures (aortic valve replacement [AVR], abdominal aortic aneurysm [AAA] repair, colectomy, carotid artery repair, major joint repair, and prostatectomy). METHODS: Multivariable logistic regression models were fit using beneficiary-year as the unit of analysis to estimate the likelihood of undergoing each procedure among patients with ADRD and without ADRD, stratified by ACO participation. Additional models were fit to determine how the relationship between ACO participation and surgery was altered based on procedure urgency and the availability of minimally invasive technology. RESULTS: Adjusted odds for use of surgery were lower among patients with ADRD compared with patients without ADRD for all procedures. ACO participation had varying impact on patients with ADRD, with higher odds of AVR and major joint surgery and lower odds of carotid artery repair. Availability of minimally invasive technology increased the likelihood of AVR and AAA repair among patients with ADRD; however, ACO participation reduced these effects. The effect of ACO participation on the likelihood of undergoing surgery did not vary by urgency of the procedure. CONCLUSIONS: The likelihood of undergoing surgery is overall lower among patients with ADRD and may vary by ACO participation for specific procedures.

Hospital Characteristics Associated With Clinically Integrated Network Participation.

BACKGROUND: Increased integration of physician organizations and hospitals into health systems has not necessarily improved clinical integration or patient outcomes. However, federal regulators have issued favorable opinions for clinically integrated networks (CINs) as a way to pursue coordination between hospitals and physicians. Hospital organizational affiliations, including independent practice associations (IPA), physician-hospital organizations (PHOs), and accountable care organizations (ACOs), may support CIN participation. No empirical evidence, however, exists about factors associated with CIN participation. METHODS: Data from the 2019 American Hospital Association survey (n = 4405) were analyzed to quantify hospital CIN participation. Multivariable logistic regression models were estimated to examine whether IPA, PHO, and ACO affiliations were associated with CIN participation, controlling for market factors and hospital characteristics. RESULTS: In 2019, 34.6% of hospitals participated in a CIN. Larger, not-for-profit, and metropolitan hospitals were more likely to participate in CINs. In adjusted analyses, hospitals participating in CINs were more likely to have an IPA (9.5% points, P < 0.001), a PHO (6.1% points, P < 0.001), and ACO (19.3% points, P < 0.001) compared with hospitals not participating in a CIN. CONCLUSIONS: Over one-third of hospitals participate in a CIN, despite limited evidence about their effectiveness in delivering value. Results suggest that CIN participation may be a response to integrative norms. Future work should attempt to better define CIN participation and strive to disentangle overlapping organizational participation.

Associations between physician practice models and health information exchange.

OBJECTIVES: The interaction between emerging physician practice models and the use of health information exchange (HIE) remains understudied. We examined associations between the use of emerging practice models and the use of HIE. We also examined barriers to HIE adoption among physicians who were not utilizing HIE. STUDY DESIGN: Survey data came from a 2019-2021 statewide census of all physicians in Arizona collected at the time of license renewal (n = 3312, or 17.9% of all practicing physicians). METHODS: Primary outcomes were physician-reported HIE use for patient care summaries and for laboratory results. Secondary outcomes were 5 common HIE barriers among non-HIE users. The primary predictor was physician practice model: accountable care organization (ACO), clinically integrated network (CIN), or integrated delivery network (IDN) vs traditional care delivery model. Covariates included physician specialty, age, gender, and county of practice. RESULTS: Compared with physicians in traditional care delivery models, physicians in ACOs, CINs, or IDNs had significantly higher odds of using HIE to share both patient care summaries (P < .01) and laboratory results (P < .05 for ACOs), although associations varied across provider and practice characteristics. ACO providers not using HIE were more likely to cite a lack of connectivity and lack of information as HIE barriers. CONCLUSIONS: Providers in an emerging practice model are more likely to use HIE than those in a traditional care delivery model. However, nuances in these associations suggest a persistence of previously identified HIE gaps, and the barriers cited provide guidance for increasing HIE use among different practice types.

Changes in spending and quality after ACO contract participation for dually eligible beneficiaries with mental illness.

BACKGROUND: Fragmented care and misaligned payment across Medicare and Medicaid lower care quality for dually eligible beneficiaries with mental illness. Accountable care organizations aim to improve the quality and value of care. METHODS: Using Medicare fee-for-service Part A and B claims data from 2009 to 2017 and a difference-in-differences design, we compared the spending and utilization of dually eligible beneficiaries with mental illness that were and were not attributed to Medicare ACO providers before and after ACO contract entry. RESULTS: Dually eligible beneficiaries with mental illness (N = 5,157,533, 70% depression, 22% bipolar, 27% schizophrenia and other psychotic disorders) had average annual Medicare spending of $17,899. ACO contract participation was generally not associated with spending or utilization changes. However, ACO contract participation was associated with higher rates of follow-up visits after mental health hospitalization: 1.17 and 1.30 percentage points within 7 and 30 days of discharge, respectively (p < 0.001). ACO-attributed beneficiaries with schizophrenia, bipolar, or other psychotic disorders received more ambulatory visits (393.9 per 1000 person-years, p = 0.002), while ACO-attributed beneficiaries with depression experienced fewer emergency department visits (-29.5 per 1000 person-years, p = 0.003) after ACO participation. CONCLUSIONS: Dually eligible beneficiaries served by Medicare ACOs did not have lower spending, hospitalizations, or readmissions compared with other beneficiaries. However, ACO participation was associated with timely follow-up after mental health hospitalization, as well as more ambulatory care and fewer ED visits for certain diagnostic groups. IMPLICATIONS: ACOs that include dually eligible beneficiaries with mental illness should tailor their designs to address the distinct needs of this population.

Association of Medicare Beneficiary and Hospital Accountable Care Organization Alignment With Surgical Cost Savings.

Importance: Although Medicare accountable care organizations (ACOs) account for half of program expenditures, whether ACOs are associated with surgical spending warrants further study. Objective: To assess whether greater beneficiary-hospital ACO alignment was associated with lower surgical episode costs. Design, Setting, and Participants: This retrospective cohort study was conducted between 2020 and 2022 using US Medicare data from a 20% random sample of beneficiaries. Individuals 18 years of age and older and without kidney failure who had a surgical admission between 2008 and 2015 were included. For each study year, distinction was made between beneficiaries assigned to an ACO and those who were not, as well as between admissions to ACO-participating and nonparticipating hospitals. Exposures: Time-varying binary indicators for beneficiary ACO assignment and hospital ACO participation and an interaction between them. Main Outcomes and Measures: Ninety-day, price-standardized total episode payments. Multivariable 2-way fixed-effects models were estimated. Results: During the study period, 2 797 337 surgical admissions (6% of which involved ACO-assigned beneficiaries) occurred at 3427 hospitals (17% ACO participating). Total Medicare payments for 90-day surgical episodes were lowest when ACO-assigned beneficiaries underwent surgery at a hospital participating in the same ACO as the beneficiary ($26 635 [95% CI, $26 426-$26 844]). The highest payments were for unassigned beneficiaries treated at participating hospitals ($27 373 [95% CI, $27 232-$27 514]) or nonparticipating hospitals ($27 303 [95% CI, $27 291-$27 314]). Assigned beneficiaries treated at hospitals participating in a different ACO and assigned beneficiaries treated at nonparticipating hospitals had similar payments (for participating hospitals, $27 003 [95% CI, $26 739-$27 267] and for nonparticipating hospitals, $26 928 [95% CI, $26 796-$27 059]). A notable factor in the observed differences in surgical episode costs was lower spending on postacute care services. Conclusions and Relevance: In this cohort study evaluating hospital and beneficiary ACO alignment and surgical spending, savings were noted for beneficiaries treated at hospitals in the same ACO. Allowing ACOs to encourage or require surgical procedures in their own hospitals could lower Medicare spending on surgery.

Prevalence of social risk factors and social needs in a Medicaid Accountable Care Organization (ACO).

BACKGROUND: Health-related social needs (HRSN) are associated with higher chronic disease prevalence and healthcare utilization. Health systems increasingly screen for HRSN during routine care. In this study, we compare the differential prevalence of social risk factors and social needs in a Medicaid Accountable Care Organization (ACO) and identify the patient and practice characteristics associated with reporting social needs in a different domain from social risks. METHODS: Cross-sectional study of patient responses to HRSN screening February 2019-February 2020. HRSN screening occurred as part of routine primary care and assessed social risk factors in eight domains and social needs by requesting resources in these domains. Participants included adult and pediatric patients from 114 primary care practices. We measured patient-reported social risk factors and social needs from the HRSN screening, and performed multivariable regression to evaluate patient and practice characteristics associated with reporting social needs and concordance to social risks. Covariates included patient age, sex, race, ethnicity, language, and practice proportion of patients with Medicaid and/or Limited English Proficiency (LEP). RESULTS: Twenty-seven thousand four hundred thirteen individuals completed 30,703 screenings, including 15,205 (55.5%) caregivers of pediatric patients. Among completed screenings, 13,692 (44.6%) were positive for ≥ 1 social risk factor and 2,944 (9.6%) for ≥ 3 risks; 5,861 (19.1%) were positive for social needs and 4,848 (35.4%) for both. Notably, 1,013 (6.0%) were negative for social risks but positive for social needs. Patients who did not identify as non-Hispanic White or were in higher proportion LEP or Medicaid practices were more likely to report social needs, with or without social risks. Patients who were non-Hispanic Black, Hispanic, preferred non-English languages or were in higher LEP or Medicaid practices were more likely to report social needs without accompanying social risks. CONCLUSIONS: Half of Medicaid ACO patients screened for HRSN reported social risk factors or social needs, with incomplete overlap between groups. Screening for both social risks and social needs can identify more individuals with HRSN and increase opportunities to mitigate negative health outcomes.

To What Extent Are ACO and PCMH Models Advancing the Triple Aim Objective? Implications and Considerations for Primary Care Medical Practices.

Accountable care organizations (ACOs) and patient-centered medical homes (PCMHs) have emerged to advance the health care system by achieving the Triple Aim of improving population health, reducing costs, and enhancing the patient experience. This review examines evidence regarding the relationship between these innovative care models and care outcomes, costs, and patient experiences. The 28 articles summarized in this review show that ACO and PCMH models play an important role in achieving the Triple Aim, when compared with conventional care models. However, there can be drawbacks associated with model implementation. The long-term success of these models still merits further investigation.

ACO Participation Associated With Decreased Spending For Medicare Beneficiaries With Serious Mental Illness.

Serious mental illness (SMI) is a major source of suffering among Medicare beneficiaries. To date, limited evidence exists evaluating whether Medicare accountable care organizations (ACOs) are associated with decreased spending among people with SMI. Using national Medicare data from the period 2009-17, we performed difference-in-differences analyses evaluating changes in spending and use associated with enrollment in the Medicare Shared Savings Program (MSSP) among beneficiaries with SMI. After five years, participation in MSSP ACOs was associated with small savings for beneficiaries with SMI (-$233 per person per year) in total health care spending, primarily related to savings from chronic medical conditions (excluding mental health; -$227 per person per year) and not from savings related to mental health services (-$6 per person per year). Savings were driven by reductions in acute and postacute care for medical conditions. Further work is needed to ensure that Medicare ACOs invest in strategies to reduce potentially unnecessary care related to mental health disorders and to improve health outcomes.

Primary care physicians' participation in the Medicare shared savings program and preventive services delivery: Evidence from the first 7 years.

OBJECTIVE: To evaluate whether primary care physicians' participation in the Medicare Shared Savings Program (MSSP) is associated with changes in their preventive services delivery. DATA SOURCES: Medicare Provider Utilization and Payment Physician and Other Supplier Public Use File and MSSP Accountable Care Organizations (ACO) Provider-Level Research Identifiable File from 2012 to 2018. STUDY DESIGN: The design was a two-way fixed effects model estimating within-provider changes in preventive services delivery over time controlling for provider time-invariant characteristics, national time trends, and characteristics of served patients. The following preventive services were evaluated: influenza vaccination, pneumococcal vaccination, clinical depression screening, colorectal cancer screening, breast cancer screening, Body Mass Index (BMI) screening and follow-up, tobacco use assessment, and annual wellness visits. Both the likelihood of providing services and the volume of services delivered were evaluated. DATA COLLECTION/EXTRACTION METHODS: Secondary data linked at the provider level. PRINCIPAL FINDINGS: MSSP participation was associated with an increase in the likelihood of providing influenza vaccination (0.7 percentage-points), pneumococcal vaccination (2.0 percentage-points), clinical depression screening (2.1 percentage-points), tobacco use assessment (0.3 percentage-points), and annual wellness visits (4.1 percentage-points). A similar increase was found for the volume of services delivered per 100 patients for several preventive services: influenza vaccination (0.18), pneumococcal vaccination (0.56), clinical depression screening (0.46), and annual wellness visits (1.52). MSSP participation was associated with a decrease in the likelihood (-0.4 percentage-points) and the volume of colorectal cancer screening (-0.03). CONCLUSIONS: Primary care physicians' participation in MSSP was associated with an increase in the likelihood and the volume of several preventive services.

Medicare Accountable Care Organizations: Post-acute Care Use and Post-surgical Outcomes in Urologic Cancer Surgery.

OBJECTIVE: To evaluate association between Medicare accountable care organizations (ACOs) participation of hospitals on post-acute care (PAC) use and spending, and post-surgical outcomes in Medicare beneficiaries undergoing urologic cancer surgeries. Despite increasing prevalence of urologic cancer and surgical care contributing to a large proportion of total health care costs, and recent Medicare payment reforms such as accountable care organizations, the role of ACOs in urologic cancer care has been unexplored. METHODS: We conducted a longitudinal analysis of 2011-2017 Medicare claims data to compare post-surgical outcomes between Medicare ACO and non-ACO patients before and after implementation of Medicare shared savings program (MSSP). Our outcomes of interest were Post-acute care (PAC) use (overall, institutional, and home health), Skilled Nursing Facility (SNF) length of stay and Medicare spending for SNF patients, 30-day and 90-day unplanned readmissions and complications after index procedure. RESULTS: Study sample included a total of 334,514 Medicare patients undergoing bladder, prostate, kidney cancer surgeries at 524 Medicare ACO and 2066 non-ACO hospitals. For bladder cancer surgery, Medicare ACO participation was associated with significantly reduced overall post-acute care use, but not with changes in readmission or complication rate. For prostate cancer and kidney cancer surgery, we found no significant association between hospital participation in Medicare ACOs and PAC use or post-surgical outcomes. CONCLUSION: Hospital participation in MSSP ACOs leads to lower post-acute care use without compromising patient outcomes for Medicare beneficiaries undergoing bladder cancer surgery. Future research is needed to understand longer-term impact of ACO participation on urologic cancer surgery outcomes.

Using a home time measure to differentiate ACO performance for seriously ill populations.

BACKGROUND: Alternative Payment Models (APMs) piloted by the Centers for Medicare and Medicaid Services (CMS) such as ACO Realizing Equity, Access and Community Health (REACH) seek to improve care and quality of life among seriously ill populations (SIP). Days at Home (DAH) was proposed for use in this model to evaluate organizational performance. It is important to assess the utility and feasibility of person-centered outcomes measures, such as DAH, as CMS seeks to advance care models for seriously ill beneficiaries. We leverage existing Accountable Care Organization (ACO) contracts to evaluate the feasibility of ACO-level DAH measure and examine characteristics associated with ACOs with more DAH. METHODS: We calculated DAH for Medicare fee-for-service beneficiaries aged 68 and over who were retrospectively attributed to a Medicare ACO between 2014 and 2018 and met the seriously ill criteria. We then aggregated to the ACO level DAH for each ACO's seriously ill beneficiaries and risk-adjusted this aggregated measure. Finally, we evaluated associations between risk-adjusted DAH per person-year and ACO, beneficiary, and market characteristics. RESULTS: ACOs' seriously ill beneficiaries spent an average of 349.3 risk-adjusted DAH per person-year. Risk-adjusted ACO variation, defined as the interquartile range, was 4.21 days (IQR = 347.32-351.53). Beneficiaries of ACOs are composed of a less racially diverse beneficiary cohort, opting for two-sided risk models, and operating in markets with fewer hospital and Skilled Nursing Facility beds had more DAH. CONCLUSIONS: Substantial variation across ACOs in the DAH measure for seriously ill beneficiaries suggests the measure can differentiate between high and low performing provider groups. Key to the success of the metric is accurate risk adjustment to ensure providers have adequate resources to care for seriously ill beneficiaries. Organizational factors, such as the ACO size and level of risk, are strongly associated with more days at home.

Screening for Social Risk at Federally Qualified Health Centers: A National Study.

INTRODUCTION: Federally Qualified Health Centers serve 29.8 million low-income patients across the U.S., many of whom have unaddressed social risks. In 2019, for the first time, data on social risk screening capabilities were collected from every U.S. Federally Qualified Health Center. The objectives of this study were to describe the national rates of social risk screening capabilities across Federally Qualified Health Centers, identify organizational predictors of screening, and assess between-state heterogeneity. METHODS: Using a 100% sample of U.S. Federally Qualified Health Centers (N=1,384, representing 29.8 million patients) from the 2019 Uniform Data System, the primary outcome was whether a Federally Qualified Health Center collected data on patients' social risk factors (yes/no). Summary statistics on the rates of social risk screening capabilities were generated in aggregate and by state. Linear probability models were then used to estimate the relationship between the probability of social risk screening and 7 key Federally Qualified Health Center characteristics (e.g., Federally Qualified Health Center size, Medicaid MCO contract, Medicaid accountable care organization presence). Data were analyzed in 2020‒2021. RESULTS: Most (71%) Federally Qualified Health Centers collected social risk data, with a between-state variation. The most common screener was the Protocol for Responding to and Assessing Patients' Assets Risks and Experiences (43% of Federally Qualified Health Centers that screened), whereas 22% collected social risk data using a nonstandardized screener. After adjusting for other characteristics, Federally Qualified Health Centers with social risk screening capabilities served more total patients, were more likely to be located in a state with a Medicaid accountable care organization, and were less likely to have an MCO contract. CONCLUSIONS: There has been widespread adoption of social risk screening tools across U.S. Federally Qualified Health Centers, but between-state disparities exist. Targeting social risk screening resources to smaller Federally Qualified Health Centers may increase the adoption of screening tools.

Growth in health information exchange with ACO market penetration.

OBJECTIVES: First, to assess whether hospitals expand the network breadth of their health information exchange (HIE) partners after joining an accountable care organization (ACO). Second, to analyze whether this HIE network expansion effect varies across markets with differing levels of ACO penetration. STUDY DESIGN: Difference-in-differences analyses of US nonfederal acute care hospitals, 2014-2017. METHODS: We used data from the American Hospital Association Annual Survey and Information Technology Supplement to measure hospital ACO participation, HIE network breadth (defined as number of different partner types), and ACO market penetration at the hospital referral region level. We implemented a difference-in-differences model to estimate changes in hospitals' HIE network breadth with ACO participation in different years. We estimate these effects combined across all markets and stratified by markets with high and low ACO market penetration. RESULTS: In combined analyses, HIE breadth increased by 0.35 partner types with ACO participation, a 30.7% increase (P < .001). In stratified analyses, this effect was larger for hospitals in high-ACO penetration markets (0.41 partner types, a 32.0% increase; P < .001) and smaller for hospitals in low-ACO penetration markets (0.25 partner types, a 24.8% increase; P < .05). We found dynamic effects of ACO adoption illustrating an immediate effect in high-ACO penetration markets and a 2-year delayed effect in low-ACO penetration markets. CONCLUSIONS: Hospitals that joined ACOs increased their HIE breadth, but this effect was heterogenous across markets and across time. Our findings illustrate a "network effect," with large, immediate effects in HIE breadth following ACO participation in high-ACO penetration markets and smaller, delayed effects in low-ACO penetration markets.

ACO Spending and Utilization Among Medicare Patients at the End of Life: an Observational Study.

BACKGROUND: End-of-life (EOL) costs constitute a substantial portion of healthcare spending in the USA and have been increasing. ACOs may offer an opportunity to improve quality and curtail EOL spending. OBJECTIVE: To examine whether practices that became ACOs altered spending and utilization at the EOL. DESIGN: Retrospective analysis of Medicare claims. PATIENTS: We assigned patients who died in 2012 and 2015 to an ACO or non-ACO practice. Practices that converted to ACOs in 2013 or 2014 were matched to non-ACOs in the same region. A total of 23,643 ACO patients were matched to 23,643 non-ACO patients. MAIN MEASURES: Using a difference-in-differences model, we examined changes in EOL spending and care utilization after ACO implementation. KEY RESULTS: The introduction of ACOs did not significantly impact overall spending for patients in the last 6 months of life (difference-in-difference (DID) = $192, 95%CI -$841 to $1125, P = 0.72). Changes in spending did not differ between ACO and non-ACO patients across spending categories (inpatient, outpatient, physician services, skilled nursing, home health, hospice). No differences were seen between ACO and non-ACO patients in rates of ED visits, inpatient admissions, ICU admission, mean healthy days at home, and mean hospice days at 180 and 30 days prior to death. However, non-ACO patients had a significantly greater increase in hospice utilization compared to ACO patients at 180 days (DID P-value = 0.02) and 30 days (DID P-value = 0.01) prior to death. CONCLUSIONS: With the exception of hospice care utilization, spending and utilization were not different between ACOs and non-ACO patients at the EOL. Longer follow-up may be necessary to evaluate the impact of ACOs on EOL spending and care.