Association between physician-hospital integration and inpatient care delivery in accountable care organizations: An instrumental variable analysis.

OBJECTIVE: To investigate the relationship between physician-hospital integration within accountable care organizations (ACOs) and inpatient care utilization and expenditure. DATA SOURCES: The primary data were Massachusetts All-Payer Claims Database (2009-2013). STUDY SETTING: Fifteen provider organizations that entered a commercial ACO contract with a major private payer in Massachusetts between 2009 and 2013. STUDY DESIGN: Using an instrumental variable approach, the study compared inpatient care delivery between patients of ACOs demonstrating high versus low integration. We measured physician-hospital integration within ACOs by the proportion of primary care physicians in an ACO who billed for outpatient services with a place-of-service code indicating employment or practice ownership by a hospital. The study sample comprised non-elderly adults who had continuous insurance coverage and were attributed to one of the 15 ACOs. Outcomes of interest included total medical expenditure during an episode of inpatient care, length of stay (LOS) of the index hospitalization, and 30-day readmission. An inpatient episode was defined as 30, 45, and 60 days from the admission date. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: The study examined 33,535 admissions from patients served by the 15 ACOs. Average medical expenditure within 30 days of admission was $24,601, within 45 days was $26,447, and within 60 days was $28,043. Average LOS was 3.5 days, and 5.4% of patients were readmitted within 30 days. Physician-hospital integration was associated with a 10.6% reduction in 30-day expenditure (95% CI, -15.1% to -5.9%). Corresponding estimates for 45 and 60 days were - 9.7% (95%CI, -14.2% to -4.9%) and - 9.6% (95%CI, -14.3% to -4.7%). Integration was associated with a 15.7% decrease in LOS (95%CI, -22.6% to -8.2%) but unrelated to 30-day readmission rate. CONCLUSIONS: Our instrumental variable analysis shows physician-hospital integration with ACOs was associated with reduced inpatient spending and LOS, with no evidence of elevated readmission rates.

The Impact of Medicaid Accountable Care Organizations on Health Care Utilization, Quality Measures, Health Outcomes and Costs from 2012 to 2023: A Scoping Review.

Most of the evidence regarding the success of ACOs is from the Medicare program. This review evaluates the impacts of ACOs within the Medicaid population. We identified 32 relevant studies published between 2012 and 2023 which analyzed the association of Medicaid ACOs and health care utilization (n = 21), quality measures (n = 18), health outcomes (n = 10), and cost reduction (n = 3). The results of our review regarding the effectiveness of Medicaid ACOs are mixed. Significant improvements included increased primary care visits, reduced admissions, and reduced inpatient stays. Cost reductions were reported in a few studies, and savings were largely dependent on length of attribution and years elapsed after ACO implementation. Adopting the ACO model for the Medicaid population brings some different challenges from those with the Medicare population, which may limit its success, particularly given differences in state Medicaid programs.

Technology, data, people, and partnerships in addressing unmet social needs within Medicaid Managed Care.

BACKGROUND: Individuals with unmet social needs experience adverse health outcomes and are subject to greater inequities in health and social outcomes. Given the high prevalence of unmet needs among Medicaid enrollees, many Medicaid managed care organizations (MCOs) are now screening enrollees for unmet social needs and connecting them to community-based organizations (CBOs) with knowledge and resources to address identified needs. The use of screening and referral technology and data sharing are often considered key components in programs integrating health and social services. Despite this emphasis on technology and data collection, research suggests substantial barriers exist in operationalizing effective systems. METHODS: We used qualitative methods to examine cross-sector perspectives on the use of data and technology to facilitate MCO and CBO partnerships in Kentucky, a state with high Medicaid enrollment, to address enrollee social needs. We recruited participants through targeted sampling, and conducted 46 in-depth interviews with 26 representatives from all six Kentucky MCOs and 20 CBO leaders. Qualitative descriptive analysis, an inductive approach, was used to identify salient themes. RESULTS: We found that MCOs and CBOs have differing levels of need for data, varying incentives for collecting and sharing data, and differing valuations of what data can or should do. Four themes emerged from interviewees' descriptions of how they use data, including 1) to screen for patient needs, 2) to case manage, 3) to evaluate the effectiveness of programs, and 4) to partner with each other. Underlying these data use themes were areas of alignment between MCOs/CBOs, areas of incongruence, and areas of tension (both practical and ideological). The inability to interface with community partners for data privacy and ownership concerns contributes to division. Our findings suggest a disconnect between MCOs and CBOs regarding terms of their technology interfacing despite their shared mission of meeting the unmet social needs of enrollees. CONCLUSIONS: While data and technology can be used to identify enrollee needs and determine the most critical need, it is not sufficient in resolving challenges. People and relationships across sectors are vital in connecting enrollees with the community resources to resolve unmet needs.

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.

Medicare Advantage growth and skilled nursing facility finances.

OBJECTIVE: To examine the relationship between growth in Medicare Advantage (MA) enrollment and changes in finances at skilled nursing facilities (SNFs). DATA SOURCES: Medicare SNF cost reports, LTCFocus.org data, and county MA penetration rates. STUDY DESIGN: We used ordinary least squares regression with SNF and year fixed effects. Our primary outcomes were SNF revenues, expenses, profits, and occupancy. Our primary independent variable was the yearly county Medicare Advantage penetration. DATA COLLECTION/EXTRACTION: We linked facility-year data from 2012 to 2019 obtained from cost reports and LTCFocus.org to county-year MA penetration. PRINCIPAL FINDINGS: A 10 percentage point increase in county MA enrollment was associated with a $213,883.89 (95% Confidence Interval [CI]: -296,869.08, -130,898.71) decrease in revenue, a $132,456.19 (95% CI: -203,852.28, -61,060.10) decrease in expenses, and a 0.59 percentage point (95% CI: -0.97, -0.21) decrease in profit margin. A 10 percentage point increase in county MA enrollment was associated with a decline (-318.93; 95% CI: -468.84, -169.02) in the number of resident-days (a measure of occupancy) as well as a decline in the revenue per resident day ($4.50; 95% CI: -6.81, -2.20), potentially because of lower prices in MA. There was also a decline in expenses per patient day (-2.35; 95% CI: -4.76, 0.05), though this was only statistically significant at the 10% level. While increased MA enrollment was associated with a substantial decline in the number of Medicare resident days (487.53; 95% CI: -588.70, -386.37), this was partially offset by an increase in other payer (e.g., private pay) resident days (285.91; 95% CI: 128.18, 443.63). Increased MA enrollment was not associated with changes in the number of Medicaid resident days or a decrease in staffing per resident day. CONCLUSION: SNFs in counties with more MA growth had substantially greater relative declines in revenue, expenses, and profit margins. The continued growth of MA may result in significant changes in the SNF industry.

Participation of Veterans Affairs Medical Centers in veteran-centric community-based service navigation networks: A mixed methods study.

OBJECTIVE: To understand the determinants and benefits of cross-sector partnerships between Veterans Affairs Medical Centers (VAMCs) and geographically affiliated AmericaServes Network coordination centers that address Veteran health-related social needs. DATA SOURCES AND SETTING: Semi-structured interviews were conducted with AmericaServes and VAMC staff across seven regional networks. We matched administrative data to calculate the percentage of AmericaServes referrals that were successfully resolved (i.e., requested support was provided) in each network overall and stratified by whether clients were also VAMC patients. STUDY DESIGN: Convergent parallel mixed-methods study guided by Himmelman's Developmental Continuum of Change Strategies (DCCS) for interorganizational collaboration. DATA COLLECTION: Fourteen AmericaServes staff and 17 VAMC staff across seven networks were recruited using snowball sampling and interviewed between October 2021 and April 2022. Rapid qualitative analysis methods were used to characterize the extent and determinants of VAMC participation in networks. PRINCIPAL FINDINGS: On the DCCS continuum of participation, three networks were classified as networking, two as coordinating, one as cooperating, and one as collaborating. Barriers to moving from networking to collaborating included bureaucratic resistance to change, VAMC leadership buy-in, and not having VAMCs staff use the shared technology platform. Facilitators included ongoing communication, a shared mission of serving Veterans, and having designated points-of-contact between organizations. The percentage of referrals that were successfully resolved was lowest in networks engaged in networking (65.3%) and highest in cooperating (85.6%) and collaborating (83.1%) networks. For coordinating, cooperating, and collaborating networks, successfully resolved referrals were more likely among Veterans who were also VAMC patients than among Veterans served only by AmericaServes. CONCLUSIONS: VAMCs participate in AmericaServes Networks at varying levels. When partnerships are more advanced, successful resolution of referrals is more likely, especially among Veterans who are dually served by both organizations. Although challenges to establishing partnerships exist, this study highlights effective strategies to overcome them.

Hospital outpatient department billing is a poor indicator of primary care practice integration with hospital systems.

OBJECTIVE: To test the reliability of Medicare claims in measuring vertical integration. We assess the accuracy of a commonly used measure of integration, primary care physician (PCP) practices billing Medicare as a hospital outpatient department (HOPD) in claims. DATA SOURCES AND STUDY SETTING: Medicare fee-for-service claims, IQVIA, and CPC+ practice surveys for this study. STUDY DESIGN: We compare measures of integration from Medicare claims to self-reported indicators of integration from IQVIA and a survey of CPC+ participating practice sites. DATA COLLECTION/EXTRACTION METHODS: We measure integration by using site-of-service billing in the 100% sample of Medicare Carrier claims from 2017-2020. In the IQVIA SK&A (2017-2018), OneKey (2019-2020), and practice survey data (2017-2019), we use self-reported responses to measure integration. PRINCIPAL FINDINGS: We find that currently most PCP practices sites that report themselves as being integrated with a health system do not bill as an HOPD. In 2017, 11% of CPC+ practices were identified as being vertically integrated in claims, while the equivalent numbers in SK&A and surveys were 52% and 54% integration, respectively. A t-test found that both datasets significantly differed from claims (Survey: 41.3%-45.1%; SK&A: 45.3%-51.1%); this gap persists in 2018-2019. CONCLUSION: Measuring physician-hospital vertical integration accurately is integral to determining consolidation. The overwhelming majority of PCP practice sites not billing as an HOPD may reflect Medicare regulatory changes that have reduced the financial incentives for doing so. These findings have implications for researchers that study the growth in PCP-hospital integration in health care markets.

Practice Site Heterogeneity within and between Medicaid Accountable Care Organizations.

The existing literature has considered accountable care organizations (ACOs) as whole entities, neglecting potentially important variations in the characteristics and experiences of the individual practice sites that comprise them. In this observational cross-sectional study, our aim is to characterize the experience, capacity, and process heterogeneity at the practice site level within and between Medicaid ACOs, drawing on the Massachusetts Medicaid and Children's Health Insurance Program (MassHealth), which launched an ACO reform effort in 2018. We used a 2019 survey of a representative sample of administrators from practice sites participating in Medicaid ACOs in Massachusetts (n = 225). We quantified the clustering of responses by practice site within all 17 Medicaid ACOs in Massachusetts for measures of process change, previous experience with alternative payment models, and changes in the practices' ability to deliver high-quality care. Using multilevel logistic models, we calculated median odds ratios (MORs) and intraclass correlation coefficients (ICCs) to quantify the variation within and between ACOs for each measure. We found greater heterogeneity within the ACOs than between them for all measures, regardless of practice site and ACO characteristics (all ICCs ≤ 0.26). Our research indicates diverse experience with, and capacity for, implementing ACO initiatives across practice sites in Medicaid ACOs. Future research and program design should account for characteristics of practice sites within ACOs.

Measuring restrictiveness of Medicare Advantage networks: A claims-based approach.

OBJECTIVE: To develop and validate a measure of provider network restrictiveness in the Medicare Advantage (MA) population. DATA SOURCES: Prescription drug event data and beneficiary information for Part D enrollees from the Center for Medicare and Medicaid Services, along with prescriber identifiers; geographic variables from the Area Health Resources Files. STUDY DESIGN: A prediction model was used to predict the unique number of primary care providers that would have been seen by MA beneficiaries absent network restrictions. The model was trained and validated on Traditional Medicare (TM) beneficiaries. A pseudo-Poisson and a random forest model were evaluated. An observed-to-expected (O/E) ratio was calculated as the number of unique providers seen by MA beneficiaries divided by the number expected based the TM prediction model. Multivariable linear models were used to assess the relationship between network restrictiveness and plan and market factors. DATA COLLECTION/EXTRACTION METHODS: Prescription drug event data were obtained for a 20% random sample of beneficiaries enrolled in prescription drug coverage from 2011 to 2017. PRINCIPAL FINDINGS: Health Maintenance Organization plans were more restrictive (O/E = 55.5%; 95% CI 55.3%-55.7%) than Health Maintenance Organization-Point of Service plans (67.2%; 95% CI 66.7%-67.8%) or Preferred Provider Organization plans (74.7%; 95% CI 74.3%-75.1%), and rural areas had more restrictive networks (31.6%; 95% CI 29.0%-34.2%) than metropolitan areas (61.5%; 95% CI 61.3%-61.7%). Multivariable results confirmed these findings, and also indicated that increased provider supply was associated with less restrictive networks. CONCLUSIONS: We developed a means of estimating provider network restrictiveness in MA from claims data. Our results validate the approach, providing confidence for wider application (e.g., for other markets and specialties) and use for regulation.

A case study on variations in network structure and cross-sector alignment in two local systems serving pregnant and parenting women in recovery.

OBJECTIVE: To describe network structure and alignment across organizations in healthcare, public health, and social services sectors that serve pregnant and parenting women with substance use disorder (SUD) in an urban and a rural community. DATA SOURCES AND STUDY SETTINGS: Two community networks, one urban and one rural with each including a residential substance use treatment program, in Kentucky during 2021. STUDY DESIGN: Social network analysis measured system collaboration and cross-sector alignment between healthcare, public health, and social services organizations, applying the Framework for Aligning Sectors. To understand the alignment and structure of each network, we measured network density overall and between sectors, network centralization, and each organization's degree centrality and effective size. DATA COLLECTION/EXTRACTION METHODS: Computer-assisted telephone interviews were conducted to document alignment around shared purpose, data, financing, and governance. PRINCIPAL FINDINGS: On average, overall and cross-sector network densities in both communities were similar. However, alignment was highest for data sharing and financing in the urban community and for shared purpose and governance in the rural community. Cross-sector partnerships involving healthcare organizations were more prevalent in the rural county (44% vs. 38% for healthcare/public health, 44% vs. 29% for healthcare/social services), but more prevalent for those involving public health/social services organizations in the urban county (42% vs. 24%). A single healthcare organization had the highest degree centrality (Mdn [IQR] = 26 [26-9.5]) and effective size (Mdn [IQR] = 15.9 [20.6-8.7]) within the rural county. Social services organizations held more central positions in the urban county (degree centrality Mdn [IQR] = 13 [14.8-9.5]; effective size Mdn [IQR] = 10.4 [11.4-7.9]). CONCLUSIONS: Cross-sector alignment may strengthen local capacity for comprehensive SUD care for pregnant and parenting women. Healthcare organizations are key players in cross-sector partnerships in the rural community, where one healthcare facility holds the central brokerage role. In contrast, public health agencies are key to cross-sector collaboration with social services in the urban community.

Availability of Medication for Opioid Use Disorder Among Accountable Care Organizations: Evidence From a National Survey.

OBJECTIVE: This report aimed to assess how accountable care organizations (ACOs) addressed ongoing opioid use disorder treatment needs over time. METHODS: Responses from the 2018 (N=308 organizations) and 2022 (N=276) National Survey of Accountable Care Organizations (response rate=55% in both years) were used to examine changes in availability of medication for opioid use disorder (MOUD) among ACOs with Medicare and Medicaid contracts. RESULTS: The percentage of respondents offering at least one MOUD grew from 39% in 2018 to 52% in 2022 (p<0.01). MOUDs were more likely to be available in 2022 among ACOs with (vs. without) in-network substance use treatment facilities (80% vs. 33%, p<0.001). The percentage of 2022 respondents who reported offering MOUD was similar in states with high versus low opioid overdose mortality rates. CONCLUSIONS: Despite growing availability of MOUD among ACOs, nearly half reported not offering any MOUD in 2022, and the availability of MOUD did not increase with treatment need.

The role of organizations in shaping physician use of electronic health records.

OBJECTIVE: The aim of the study was to (1) characterize organizational differences in primary care physicians' electronic health record (EHR) behavior; (2) assess within-organization consistency in EHR behaviors; and (3) identify whether organizational consistency is associated with physician-level efficiency. DATA SOURCES: EHR metadata capturing averaged weekly measures of EHR time and documentation composition from 75,124 US primary care physicians across 299 organizations between September 2020 and May 2021 were taken. EHR time measures include active time in orders, chart review, notes, messaging, time spent outside of scheduled hours, and total EHR time. Documentation composition measures include note length and percentage use of templated text or copy/paste. Efficiency is measured as the percent of visits with same-day note completion. STUDY DESIGN: All analyses are cross-sectional. Across-organization differences in EHR use and documentation composition are presented via 90th-to-10th percentile ratios of means and SDs. Multilevel modeling with post-estimation variance partitioning assesses the extent of an organizational signature-the proportion of variation in our measures attributable to organizations (versus specialty and individual behaviors). We measured organizational internal consistency for each measure via organization-level SD, which we grouped into quartiles for regression. Association between internally consistent (i.e., low SD) organizational EHR use and physician-level efficiency was assessed with multi-variable OLS models. DATA COLLECTION: Extraction from Epic's Signal platform used for measuring provider EHR efficiency. PRINCIPAL FINDINGS: EHR time per visit for physicians at a 90th percentile organization is 1.94 times the average EHR time at a 10th percentile organization. There is little evidence, on average, of an organizational signature. However, physicians in organizations with high internal consistency in EHR use demonstrate increased efficiency. Physicians in organizations with the highest internal consistency (top quartile) have a 3.77 percentage point higher same-day visit closure rates compared with peers in bottom quartile organizations (95% confidence interval: 0.0142-0.0612). CONCLUSIONS: Results suggest unrealized opportunities for organizations and policymakers to support consistency in how physicians engage in EHR-supported work.

Catalyzing alignment and systems transformation through cross-sector partnerships: Findings from the California Accountable Communities for Health Initiative.

OBJECTIVES: To describe the impact of Accountable Communities of Health (ACHs) on organizational and community partnerships and explore how ACHs contribute to systems change. DATA SOURCES AND STUDY SETTING: The California Accountable Communities of Health Initiative (CACHI) was a 5-year, $17 M investment in community health transformation in 13 ACH sites. Data sources include two surveys, key informant interviews, small group conversations, and ACH meeting observations and document review. STUDY DESIGN: This was a mixed-methods, observational study. Surveys conducted in 2021 and 2022 focused on ACH progress in building organizational and community partnerships and ACH impact on partners and systems, respectively. Interviews and small group conversations were conducted toward the end of the CACHI grant period and designed to complement the surveys. DATA COLLECTION: Survey respondents included ACH backbone agency staff and partner organization representatives (n = 141 in 2021 and 88 in 2022). Semistructured individual interviews and group conversations were conducted with 40 ACH backbone staff and partners. Documents were collected via grant reporting and directly from ACH staff. Data were analyzed descriptively and thematically. PRINCIPAL FINDINGS: ACHs appear to have supported organizational partnerships and collaboration. Seventy-six percent of survey respondents reported that their ACH had strengthened organizations' ability to work together and 65% reported developing new or deepened connections. While ACH participants reported a better understanding of community needs and priorities, progress on community relationships, and greater attention to equity and racial justice, many saw room for improvement on meaningful community engagement. Systems changes and precursors of systems change observed across ACH sites included strengthened partnerships, enhanced knowledge, increased capacity, more collaborative ways of working, and new funding streams. CONCLUSIONS: The ACH model is effective at strengthening organizational partnerships and catalyzing other systems changes and precursors including enhanced knowledge, increased capacity, more collaborative ways of working, and new funding.

Accountable Care Organization Attribution and Post-Acute Skilled Nursing Facility Outcomes for People Living With Dementia.

OBJECTIVES: Under the Accountable Care Organization (ACO) model, reductions in healthcare spending have been achieved by targeting post-acute care, particularly in skilled nursing facilities (SNFs). People with Alzheimer disease and related dementias (ADRD) are frequently discharged to SNF for post-acute care and may be at particular risk for unintended consequences of SNF cost reduction efforts. We examined SNF length of stay (LOS) and outcomes among ACO-attributed and non-ACO-attributed ADRD patients. DESIGN: Observational serial cross-sectional study. SETTING AND PARTICIPANTS: Twenty percent national random sample of fee-for-service Medicare beneficiaries (2013-2017) to identify beneficiaries with a diagnosis of ADRD and with a hospitalization followed by SNF admission (n = 263,676). METHODS: Our primary covariate of interest was ACO (n = 66,842) and non-ACO (n = 196,834) attribution. Hospital readmission and death were measured for 3 time periods (<30, 31-90, and 91-180 days) following hospital discharge. We used 2-stage least squares regression to predict LOS as a function of ACO attribution, and patient and facility characteristics. RESULTS: ACO-attributed ADRD patients have shorter SNF LOS than their non-ACO counterparts (31.7 vs 32.8 days; P < .001). Hospital readmission rates for ACO vs non-ACO differed at ≤30 days (13.9% vs 14.6%; P < .001) but were similar at 31-90 days and 91-180 days. No significant difference was observed in mortality post-hospital discharge for ACO vs non-ACO at ≤30 days; however, slightly higher mortality was observed at 31-90 days (8.4% vs 8.8%; P = .002) and 91-180 days (7.6% vs 7.9%; P = .011). No significant association was found between LOS and readmission, with small effects on mortality favoring ACOs in fully adjusted models. CONCLUSIONS AND IMPLICATIONS: Being an ACO-attributed patient is associated with shorter SNF LOS but is not associated with changes in readmission or mortality after controlling for other factors. Policies that shorten LOS may not have adverse effects on outcomes for people living with dementia.

Multi-staged development and pilot testing of a self-assessment tool for organizational health literacy.

BACKGROUND: Until now a comprehensive, consensus-based tool that can be used by a variety of health care organizations for assessing their organizational health literacy (OHL) is not available. Therefore, we aimed to develop and test a literature- and consensus-based self-assessment tool. METHODS: The study is based on a scoping review that was previously published by the authors. For the development of the self-assessment tool, the criteria identified in the literature were synthesized with criteria gained through group discussions with representatives of different types of health care organizations (N = 27) all based in Hamburg (Germany). Consensus on the criteria was reached by conducting a Delphi process (N = 22). A review by the project's patient advisory council was included in the process. The self-assessment tool was converted into an online tool and refined by a pretest. Finally, the online survey was piloted (N = 53) and the reliability and item loadings for each scale were analyzed. RESULTS: In total, 77 criteria (items) characterizing a health literate health care organization were developed and grouped into five main categories (scales): (1) "easy access and navigation", (2) "integration, prioritization, and dissemination of OHL", (3) "qualification, quality management, evaluation, and needs assessment", (4) "communication with target groups", and (5) "involvement and support of target groups". The results of the online survey showed that the tool is suitable for assessing an organization's status quo on OHL. The psychometric analysis showed good to excellent internal consistency. Item analyses of the developed self-assessment tool was satisfactory. CONCLUSIONS: We were able to define a set of 77 items to characterize OHL, which were integrated into a new, comprehensive, and consensus-based self-assessment tool to identify areas for improvement. We found evidence that the self-assessment tool, based on the identified criteria, consists of the assumed five scales. Further research should analyze the validity of the self-assessment tool on a higher detail level.

French Interventional Radiology Centers' Uptake of Transradial Approach and Outpatient HCC Intra-Arterial Treatments.

PURPOSE: This study aims to investigate the uptake of transradial approach (TRA) and outpatient setting for transarterial chemoembolization (TACE) and transarterial radioembolization (TARE) in the treatment of hepatocellular carcinoma (HCC) among French interventional radiology centers. MATERIALS AND METHODS: This cross-sectional study was based on a 34-question survey assessing center activity, radial access, and outpatient care. The survey was developed by a working group, tested by two external experts, and distributed to active members of two French radiological societies via a web-based self-reporting questionnaire in March 2022. The survey remained open for eight weeks, with two reminder emails sent to non-responders. Only one answer per center was considered. RESULTS: Of the 44 responding centers, 39% (17/44) performed TRA for TACE and/or TARE, with post-procedure patient comfort as main motivation. Among the 27 centers not performing TRA, 33% (9/27) reported a lack of technical experience, but all 27 intended to adopt TRA within two years. Only six centers performed TACE or TARE in an outpatient setting. Reasons limiting its implementation included TACE for HCC not being a suitable intervention (61%, 27/44) and organizational barriers (41%, 18/44). Among centers not performing outpatient TACE or TARE, 34% (13/38) said "No," 34% (13/38) said "Maybe," and 32% (12/38) said "Yes" when asked about adopting it within two years. CONCLUSION: French interventional radiologists have low TRA uptake for HCC treatment, but TRA adoption potential exists. Respondents were uncertain about performing TACE or TARE in an outpatient setting within a 2-year horizon.

The Association Between Facility Affiliations and Revenue Generation in Skilled Nursing Facilities - An Exploratory Study.

Background: Although hospitals have been the traditional setting for interventional and rehabilitative care, skilled nursing facilities (SNFs) can offer a high-quality and less costly alternative than hospitals. Unfortunately, the financial health of SNFs is often a matter of concern. To partially address these issues, SNF leaders have increased engagement in a number of affiliations to assist in improving quality and reducing operational costs, including Accountable Care Organizations (ACOs), Health Information Exchanges (HIEs), and participation in Bundled Payment for Care Improvement (BPCI) programs. What is not well understood is what impact these affiliations have on the financial viability of the host organizations. Given these factors, this study aims to identify what association, if any, exists between SNF affiliations and revenue generation. Methods: Data from calendar year 2022 for n=13,447 SNFs in the US were assessed using multivariate regression analysis. We evaluated two separate dependent measures of revenue generation capacity: net patient revenue per bed and net patient revenue per discharge and considered three unique facility affiliations including (1) ACOs, (2) HIEs, and (3) BPCI participants. Results: Six multivariable linear regressions revealed that ACO affiliation is negatively associated with revenue generation on both dependent measures, while HIE affiliation and BPCI participation reflected mixed results. Conclusion: A better understanding of the financial impact of SNFs' affiliations may prove insightful. By carefully considering the value of each affiliation, and how each is applicable to any given market, policymakers, funding agencies, and facility leaders may be able to better position SNFs for more sustainable financial performance in a challenging economic environment.

Maternal Health Equity in Medicaid Accountable Care Organizations: Early Lessons from the Massachusetts Experience.

There are substantial inequities by race and ethnicity in maternal health care utilization and health outcomes across the perinatal period. As Medicaid covers 42% of births nationally and almost two-thirds of births to Black birthing people, state Medicaid financing and delivery system reforms have substantial scope to impact these inequities. Twenty-one states have implemented Medicaid Accountable Care Organizations (ACOs) at some point since 2015. Using public documents and interviews with ACO administrators, we examine the implications of Massachusetts Medicaid ACOs, implemented in March 2018, for maternal health equity. Although these Medicaid ACOs have the potential to impact maternal health equity, they face many challenges in doing so. We review future steps within Massachusetts Medicaid ACOs and Medicaid programs more generally to incorporate policies that may better address racial and ethnic inequities.

Specialist use among privately insured children with disabilities.

OBJECTIVE: To investigate primary care practice ownership and specialist-use patterns for commercially insured children with disabilities. DATA SOURCES AND STUDY SETTING: A national commercial claims database and the Health Systems and Provider Database from 2012 to 2016 are the data sources for this study. STUDY DESIGN: This cross-sectional, descriptive study examines: (1) the most visited type of pediatric primary care physician and practice (independent or system-owned); (2) pediatric and non-pediatric specialist-use patterns; and (3) how practice ownership relates to specialist-use patterns. DATA COLLECTION/EXTRACTION METHODS: This study identifies 133,749 person-years of commercially insured children with disabilities aged 0-18 years with at least 24 months of continuous insurance coverage by linking a national commercial claims data set with the Health Systems and Provider Database and applying the validated Children with Disabilities Algorithm. PRINCIPAL FINDINGS: Three-quarters (75.9%) of children with disabilities received their pediatric primary care in independent practices. Nearly two thirds (59.6%) used at least one specialist with 45.1% using nonpediatric specialists, 28.8% using pediatric ones, and 17.0% using both. Specialist-use patterns varied by both child age and specialist type. Children with disabilities in independent practices were as likely to see a specialist as those in system-owned ones: 57.1% (95% confidence interval [95% CI] 56.7%-57.4%) versus 57.3% (95% CI 56.6%-58.0%), respectively (p = 0.635). The percent using two or more types of specialists was 46.1% (95% CI 45.4%-46.7%) in independent practices, comparable to that in systems 47.1% (95% CI 46.2%-48.0%) (p = 0.054). However, the mean number of specialist visits was significantly lower in independent practices than in systems-4.0 (95% CI 3.9%-4.0%) versus 4.4 (95% CI 4.3%-4.6%) respectively-reaching statistical significance with p < 0.0001. CONCLUSIONS: Recognizing how privately insured children with disabilities use pediatric primary care from pediatric and nonpediatric primary care specialists through both independent and system-owned practices is important for improving care quality and value.

Dynamics of organizational climate and job satisfaction in healthcare service practice and research: a protocol for a systematic review.

Organizational climate and job satisfaction have been established as fundamental pillars of research and practice in organizational behavior and organizational psychology, inspiring many explanations and operationalizations over time. In most sectors, global trends such as labor shortages, high rates of turnover and absenteeism, the need to increase productivity, and the interest in new work models concur to keep climate and job satisfaction on top of the research agenda. The situation is particularly acute in the healthcare sector, where related factors have the capacity to influence all aspects of care provision, including patient safety and the physical and mental health of care providers. Nevertheless, a gap in knowledge persists regarding climate, job satisfaction, and their relationships in healthcare services. This protocol describes a study that aims to examine the dynamics of climate and job satisfaction in healthcare organizations from the practice and research perspectives. The protocol complies with PRISMA-P. PRISMA will be used to report the results of the study. Databases will be searched for published studies in May 2023, and we expect to complete the study by December 2024. A framework based on a multi-dimensional concept of quality in research will be used to examine the quality of any studies before inclusion. The results will be disseminated in two systematic reviews. We will describe proposed models depicting the dynamics of climate and job satisfaction in healthcare organizations. We will systematize and discuss available evidence regarding the outcomes of climate and job satisfaction in healthcare work environments. We will synthesize information on research designs and methodological options of included studies. We will identify measures of climate and job satisfaction used in healthcare settings, assess their psychometric properties, and appraise the overall quality of underlying studies. Finally, we expect to identify areas in need of further research.