Medicaid Accountable Care Organizations in Four States: Implementation and Early Impacts

Development of an assessment tool for designated medical institutions in China--Based on the application of an online assessment system

Background

Due to the expanding coverage of medical insurance and the growth of medical expenses, the ability to assess the performance of designated medical institutions (DMIs) in supporting the delivery of high-quality patient care and the standardized use of funds represents a priority in China. Despite such interest, there has yet to be an operable standard and labor-saving method for assessing DMIs in China.

Objective

The main objectives include two aspects: (1) establishing an evaluation index system for DMIs based on contracts; (2) designing and developing an online evaluation platform.

Methods

A group of 20 experts with theoretical and practical expertise in medical insurance regulation and performance evaluation were invited to select available indicators. A combination weighting method based on analytic hierarchy process and entropy method was used to determine the weight coefficient. Shanghai was taken as the sample area, and 760 DMIs were included in the empirical research. The test-retest reliability method and criterion-related validity method was used to test the reliability and the validity of the evaluation result.

Results

An assessment index system that included 6 domains and 56 indicators was established in this study. Furthermore, we developed an online platform to assist in the implementation of the assessment. The results showed that the average score of assessment was 94.39, the median was 96.92. The test-retest reliability value was 0.96 (P ≤ 0.01), which indicated high stability of the assessment. In addition, there was a significant negative relationship between assessment score and the penalty amount of DMIs (R = -0.133, P < 0.001). After adjusting for the basic characteristics of medical institutions, the number of visits and revenue, the negative relationship was still significant (B = -0.080, P < 0.05). These results are consistent with expectations, indicating that the assessment had good criterion-related validity.

Conclusions

This study established an operable assessment measure and developed an online platform to assess the performance of DMIs. The results showed good feasibility and reliability in empirical research. Our research findings provided an operable Chinese solution for DMI assessment that saves manpower and time, which would have good enlightening significance in other regions of China and in low-income and middle-income countries internationally.

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.

The end of an era? Activity-based funding based on diagnosis-related groups: A review of payment reforms in the inpatient sector in 10 high-income countries

CONTEXT

Across the member countries of the Organisation for Economic Co-Operation and Development, policy makers are searching for new ways to pay hospitals for inpatient care to move from volume to value. This paper offers an overview of the latest reforms and their evidence to date.

METHODS

We reviewed reforms to DRG payment systems in 10 high-income countries: Australia, Austria, Canada (Ontario), Denmark, France, Germany, Norway, Poland, the United Kingdom (England), and the United States.

FINDINGS

We identified four reform trends among the observed countries, them being (1) reductions in the overall share of inpatient payments based on DRGs, (2) add-on payments for rural hospitals or their exclusion from the DRG system, (3) episode-based payments, which use one joint price to pay providers for all services delivered along a patient pathway, and (4) financial incentives to shift the delivery of care to less costly settings. Some countries have combined some or all of these measures with financial adjustments for quality of care. These reforms demonstrate a shift away from activity and efficiency towards a diversified set of targets, and mirror efforts to slow the rise in health expenditures while improving quality of care. Where evaluations are available, the evidence indicates mixed success in improving quality of care and reducing costs and expenditures.

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.

Changes in Health Care Utilization During the First 2 Years of Massachusetts Medicaid Accountable Care Organizations

On March 1, 2018, the Massachusetts Medicaid and Children's Health Insurance Program (MassHealth) launched an ambitious accountable care organization (ACO) program that sought to integrate care across the physical, behavioral, functional, and social services continuum while holding ACOs accountable for cost and quality. The study objective was to describe changes in health care utilization among MassHealth members during the pre-ACO baseline (2015-2017) and post-implementation periods (2018 and 2019). Using MassHealth administrative data, the authors conducted a repeated cross-sectional study of MassHealth members enrolled in ACOs during 2015-2019. Rates of primary care visits, all-cause and primary-care sensitive emergency department (ED) visits, ED boarding, hospitalizations, acute unplanned admissions, and readmissions were reported during the baseline period (2015-2017) and year 1 (2018) and year 2 (2019). Primary care visit rates increased for adult members throughout the study period from a baseline mean of 7.2-9.2 per member per year (observed-to-expected [O:E]: 1.16) in 2019. Observed all-cause hospitalization rates fell below expected values with O:E ratios of 0.96 among adults and 0.79 among children in 2018, and 0.96 and 0.92 among adults and children, respectively, in 2019. All-cause ED visit rates increased slightly, and rates of pediatric asthma-related admissions, unplanned admissions for adults with ambulatory care sensitive conditions, and unplanned admissions and ED boarding for adults with substance use disorder and serious mental illness all declined for the study period. These findings are suggestive of utilization shifts to higher-value, lower-cost care under Massachusetts's innovative and comprehensive ACO model.

Integration on the Frontlines of Medicaid Accountable Care Organizations and Associations With Perceived Care Quality, Health Equity, and Satisfaction

Amid enthusiasm about accountable care organizations (ACOs) in Medicaid, little is known about the primary care practices engaging in them. We leverage a survey of administrators within a random sample (stratified by ACO) of 225 practices joining Massachusetts Medicaid ACOs (64% response rate; 225 responses). We measure the integration of processes with distinct entities: consulting clinicians, eye specialists for diabetes care, mental/behavioral care providers, and long-term and social services agencies. Using multivariable regression, we examine organizational correlates of integration and assess integration's relationships with care quality improvement, health equity, and satisfaction with the ACO. Integration varied across practices. Clinical integration was positively associated with perceived care quality improvement; social service integration was positively associated with addressing equity; and mental/behavioral and long-term service integration were positively associated with ACO satisfaction (all p < .05). Understanding differences in integration at the practice level is vital for sharpening policy, setting expectations, and supporting improvement in Medicaid ACOs.

How to successfully implement population health management: a scoping review

BACKGROUND

Despite international examples, it is unclear for multisector initiatives which want to sustainably improve the health of a population how to implement Population Health Management (PHM) and where to start. Hence, the main purpose of this research is to explore current literature about the implementation of PHM and organising existing knowledge to better understand what needs to happen on which level to achieve which outcome.

METHODS

A scoping review was performed within scientific literature. The data was structured using Context-Mechanism-Outcome, the Rainbow model of integrated care and six elements of PHM as theoretical concepts.

RESULTS

The literature search generated 531 articles, of which 11 were included. Structuring the data according to these three concepts provided a framework that shows the skewed distribution of items that influence the implementation of PHM. It highlights that there is a clear focus on normative integration on the organisational level in 'accountable regional organisation'. There is less focus on the normative integration of 'cross domain business model', 'integrated data infrastructure', and 'population health data analytics', and overall the perspective of citizen and professionals, indicating possible gaps of consideration.

CONCLUSIONS

A first step is taken towards a practical guide to implement PHM by illustrating the depth of the complexity and showing the partial interrelatedness of the items. Comparing the results with existing literature, the analysis showed certain gaps that are not addressed in practice, but should be according to other frameworks. If initiators follow the current path in literature, they may be missing out on some important components to achieve proper implementation of PHM.

Analysis of North Carolina Medicaid Claims Data to Simulate a Pediatric Accountable Care Organization

Importance

Despite momentum for pediatric value-based payment models, little is known about tailoring design elements to account for the unique needs and utilization patterns of children and young adults.

Objective

To simulate attribution to a hypothetical pediatric accountable care organization (ACO) and describe baseline demographic characteristics, expenditures, and utilization patterns over the subsequent year.

Design, Setting, and Participants

This retrospective cohort study used Medicaid claims data for children and young adults aged 1 to 20 years enrolled in North Carolina Medicaid at any time during 2017. Children and young adults receiving at least 50% of their primary care at a large academic medical center (AMC) in 2017 were attributed to the ACO. Data were analyzed from April 2020 to March 2021.

Main Outcomes and Measures

Primary outcomes were total cost of care and care utilization during the 2018 performance year.

Results

Among 930 266 children and young adults (377 233 children [40.6%] aged 6-12 years; 470 612 [50.6%] female) enrolled in Medicare in North Carolina in 2017, 27 290 children and young adults were attributed to the ACO. A total of 12 306 Black non-Hispanic children and young adults (45.1%), 6308 Hispanic or Latinx children and young adults (23.1%), and 6531 White non-Hispanic children and young adults (23.9%) were included. Most attributed individuals (23 133 individuals [84.7%]) had at least 1 claim in the performance year. The median (IQR) total cost of care in 2018 was $347 ($107-$1123); 272 individuals (1.0%) accounted for nearly half of total costs. Compared with children and young adults in the lowest-cost quartile, those in the highest-cost quartile were more likely to have complex medical conditions (399 individuals [6.9%] vs 3442 individuals [59.5%]) and to live farther from the AMC (median [IQR distance, 6.0 [4.6-20.3] miles vs 13.9 [4.6-30.9] miles). Total cost of care was accrued in home (43%), outpatient specialty (19%), inpatient (14%) and primary (8%) care. More than half of attributed children and young adults received care outside of the ACO; the median (IQR) cost for leaked care was $349 ($130-$1326). The costliest leaked encounters included inpatient, ancillary, and home health care, while the most frequently leaked encounters included behavioral health, emergency, and primary care.

Conclusions and Relevance

This cohort study found that while most children attributed to the hypothetical Medicaid pediatric ACO lived locally with few health care encounters, a small group of children with medical complexity traveled long distances for care and used frequent and costly home-based and outpatient specialty care. Leaked care was substantial for all attributed children, with the cost of leaked care being higher than the total cost of care. These pediatric-specific clinical and utilization profiles have implications for future pediatric ACO design choices related to attribution, accounting for children with high costs, and strategies to address leaked care.

Health Care Impacts Of Resource Navigation For Health-Related Social Needs In The Accountable Health Communities Model

Social determinants of health can adversely affect health and therefore lead to poor health care outcomes. When it launched in 2017, the Accountable Health Communities (AHC) Model was at the forefront of US health policy initiatives seeking to address social determinants of health. The AHC Model, sponsored by the Centers for Medicare and Medicaid Services, screened Medicare and Medicaid beneficiaries for health-related social needs and offered eligible beneficiaries assistance in connecting with community services. This study used data from the period 2015-21 to test whether the model had impacts on health care spending and use. Findings show statistically significant reductions in emergency department visits for both Medicaid and fee-for-service Medicare beneficiaries. Impacts on other outcomes were not statistically significant, but low statistical power may have limited our ability to detect model effects. Interviews with AHC Model participants who were offered navigation services to help them find community-based resources suggested that navigation services could have directly affected the way in which beneficiaries engage with the health care system, leading them to be more proactive in seeking appropriate care. Collectively, findings provide mixed evidence that engaging with beneficiaries who have health-related social needs can affect health care outcomes.

Maternity care clinician inclusion in Medicaid Accountable Care Organizations

BACKGROUND

Medicaid Accountable Care Organizations (ACO) are increasingly common, but the network breadth for maternity care is not well described. The inclusion of maternity care clinicians in Medicaid ACOs has significant implications for access to care for pregnant people, who are disproportionately insured by Medicaid.

PURPOSE

To address this, we evaluate obstetrician-gynecologists (OB/GYN), maternal-fetal medicine specialists (MFM), certified nurse midwives (CNM), and acute care hospital inclusion in Massachusetts Medicaid ACOs.

METHODOLOGY/APPROACH

Using publicly available provider directories for Massachusetts Medicaid ACOs (n = 16) from December 2020 -January 2021, we quantify obstetrician-gynecologists, maternal-fetal medicine specialists, CNMs, and acute care hospital with obstetric department inclusion in each Medicaid ACO. We compare maternity care provider and acute care hospital inclusion across and within ACO type. For Accountable Care Partnership Plans, we compare maternity care clinician and acute care hospital inclusion to ACO enrollment.

RESULTS

Primary Care ACO plans include 1185 OB/GYNs, 51 MFMs, and 100% of Massachusetts acute care hospitals, but CNMs were not easily identifiable in the directories. Across Accountable Care Partnership Plans, a mean of 305 OB/GYNs (median: 97; range: 15-812), 15 MFMs (Median: 8; range: 0-50), 85 CNMs (median: 29; range: 0-197), and half of Massachusetts acute care hospitals (median: 23.81%; range: 10%-100%) were included.

CONCLUSION AND PRACTICE IMPLICATIONS

Substantial differences exist in maternity care clinician inclusion across and within ACO types. Characterizing the quality of included maternity care clinicians and hospitals across ACOs is an important target of future research. Highlighting maternal healthcare as a key area of focus for Medicaid ACOs-including equitable access to high-quality obstetric providers-will be important to improving maternal health outcomes.

Social Determinants of Health and Hypertension Control in Adults with Medicaid

BACKGROUND

Social determinants of health (SDOH) are associated with cardiovascular disease, but little is known about mechanisms underlying those relationships. We hypothesized that SDOH would be associated with uncontrolled hypertension (HTN) in adults with Medicaid.

METHODS

This was a retrospective analysis of adults in a Medicaid accountable care organization who had HTN diagnoses, received regular care at community health centers, and enrolled in a cohort study between December 2019 and December 2020. Baseline surveys collected demographics and SDOH, including food insecurity, unstable housing, cost-related medication underuse, and financial stress. Blood pressure (BP) measurements over 12 months after survey completion were obtained from the electronic health record. Participants were categorized as: uncontrolled HTN (mean systolic BP ≥ 140 mm Hg and/or mean diastolic BP ≥ 90 mm Hg), controlled HTN, or unknown HTN control (no BP documented). We examined the association of individual and cumulative (count, 0-4) SDOH with uncontrolled HTN and unknown HTN control using multivariable logistic regression adjusting for demographics, smoking, diabetes, and HTN medication.

RESULTS

Participants (n = 245) were mean (SD) age 51.3 (8.6) years, 66.1% female, 43.7% Hispanic, 34.3% White, and 18.0% Black. Overall, 58.0% had food insecurity, 38.0% had unstable housing, 29.4% had financial stress, and 20.0% reported cost-related medication underuse. BP was documented for 180 participants; 44 (24.4%) had uncontrolled HTN. In multivariable models, neither individual nor cumulative SDOH were associated with uncontrolled HTN or unknown HTN control.

CONCLUSIONS

In a Medicaid-insured population receiving care at community health centers, adverse SDOH were prevalent but were not associated with HTN control.

Effect of State-Led Delivery System and Payment Reforms on Population-Level Detection and Management of Diabetes

OBJECTIVE

The Centers for Medicare and Medicaid Services State Innovation Models (SIM) initiative has invested more than $1 billion to test state-led delivery system and payment reforms that can affect diabetes care management. We examined whether SIM implementation between 2013 and 2017 was associated with diagnosed diabetes prevalence or with hospitalization or 30-day readmission rate among diagnosed adults.

RESEARCH DESIGN AND METHODS

The quasiexperimental design compared study outcomes before and after the SIM initiative in 12 SIM states versus five comparison states using difference-in-differences (DiD) regression models of 21,055,714 hospitalizations for adults age ≥18 years diagnosed with diabetes in 889 counties from 2010 to 2017 across the 17 states. For readmission analyses, comparative interrupted time series (CITS) models included 11,812,993 hospitalizations from a subset of nine states.

RESULTS

Diagnosed diabetes prevalence changes were not significantly different between SIM states and comparison states. Hospitalization rates were inconsistent across models, with DiD estimates ranging from -5.34 to -0.37 and from -13.16 to 0.92, respectively. CITS results indicate that SIM states had greater increases in odds of 30-day readmission during SIM implementation compared with comparison states (round 1: adjusted odds ratio [AOR] 1.07; 95% CI 1.04, 1.11; P < 0.001; round 2: AOR 1.06; 95% CI 1.03, 1.10; P = 0.001).

CONCLUSIONS

The SIM initiative was not sufficiently focused to have a population-level effect on diabetes detection or management. SIM states had greater increases in 30-day readmission for adults with diabetes than comparison states, highlighting potential unintended effects of engaging in the multipayer alignment efforts required of state-led delivery system and payment reforms.

Time trends in emergency department use among adults with intellectual and developmental disabilities

BACKGROUND

Emergency Department (ED) visits are common among adults with intellectual and developmental disabilities (IDD). However, little is known about how ED use has varied over time in this population, or how it has been affected by recent Medicaid policy changes.

OBJECTIVE

To examine temporal trends in ED use among adult Medicaid members with IDD in eight states that ranged in the extent to which they had implemented state-level Medicaid policy changes that might affect ED use.

METHODS

We conducted repeated cross-sectional analyses of 2010-2016 Medicaid claims data. Quarterly analyses included adults ages 18-64 years with IDD (identified by diagnosis codes) who were continuously enrolled in Medicaid for the past 12 months. We assessed change in number of ED visits per 1000 member months from 2010 to 2016 overall and interacted with state level policy changes such as Medicaid expansion.

RESULTS

States with no Medicaid expansion experienced an increase in ED visits (linear trend coefficient: 1.13, p < 0.01), while states operating expansion via waiver had a much smaller (non-significant) increase, and states with ACA-governed expansion had a decrease in ED visits (linear trend coefficient: 1.17, p < 0.01). Other policy changes had limited or no association with ED visits.

CONCLUSIONS

Medicaid expansion was associated with modest reduction or limited increase in ED visits compared to no expansion. We found no consistent decrease in ED visits in association with other Medicaid policy changes.

What Can Canada Learn From Accountable Care Organizations: A Comparative Policy Analysis

Introduction:

Accountable Care Organizations (ACOs), implemented in the United States (US), aim to reduce costs and integrate care by aligning incentives among providers and payers. Canadian governments are interested adopting such models to integrate care, though comparative studies assessing the applicability and transferability of ACOs in Canada are lacking. In this comparative study, we performed a narrative literature review to examine how Canadian health systems could support ACO models.

Methods:

We reviewed empirical studies (published 2011–2020) that evaluated ACO impacts in the US. Thematic analysis and critical appraisal were performed to identify factors associated with positive ACO impacts. These factors were compared with the Canadian context to assess the applicability and transferability of ACO models within Canada.

Findings:

Physician-led models, global budgets and financial incentives, and focus on collaborative care may optimize ACO impacts. While reforms towards alternative payments and team-based care are not unprecedented in Canada, significant further reforms to physician remuneration, intersectoral collaboration, and accountability for performance are required to support ACO-like models.

Conclusion:

This comparative study uncovered several insights on the applicability and transferability of ACOs to the Canadian context. Further comparative research outside the US is needed to infer the essential components of successful ACO models.

[10 Years Accountable Care Organizations in the USA: Impulses for Health Care Reform in Germany?]

GOAL OF THE STUDY

An intent of the Patient Protection and Affordable Care Acts (ACA), also know as Obama Care, was to slow the expenditure growth in the public Medicare-System by shifting the accountability for health care outcomes and costs to the provider. For this purpose, provider were allowed to form networks, which would then take accountability for a defined population - Accountable Care Organizations (ACOs). Ten years after the introduction of ACOs, this paper looks at the impact of ACOs both on quality of care and costs of care to assess if ACOs can be a model of care delivery for Germany.

METHODS

In a mixed-method approach, a rapid review was conducted in Health System Evidence and PubMed. This was supported with further papers identified using the snowballing-technique. After screening the abstracts, we included articles containing information on cost- and/or quality impact of US-Medicare-ACOs. The findings of the rapid review were challenged with 16 ACO-experts and stakeholder in the USA.

RESULTS

In total, we included 60 publications which incorporated 6 reports that were either conducted directly by governmental institutions or ordered by them, along with 3 previous reviews. Among these, 31 contained information on costs of care, 18 contained information on quality of care and 11 had information on both aspects. The publications show that ACOs reduced costs of of care. Cost reductions were achieved compared to historic costs, to populations not cared for in ACOs, and counterfactuals. Quality of care stayed the same or improved.

CONCLUSION

ACOs contributed to slowing the cost growth in US Medicare without compromising quality of care. Thus, a transferal of this model of care to Germany should be considered. However, various policies have led to ACOs failing to unleash their full potential. Against this background, and against the background of stark differences between US Medicare and the German health care system, a critical reflection of the necessary policies underlying ACOs-like structures in Germany, needs to be undertaken.

Making Diabetes Electronic Medical Record Data Actionable: Promoting Benchmarking and Population Health Improvement Using the T1D Exchange Quality Improvement Portal

This article describes how the T1D Exchange Quality Improvement Collaborative leverages an innovative web platform, the QI Portal, to gather and store electronic medical record (EMR) data to promote benchmarking and population health improvement in a type 1 diabetes learning health system. The authors explain the value of the QI Portal, the process for mapping center-level data from EMRs using standardized data specifications, and the QI Portal's unique features for advancing population health.

Do Centers for Medicare and Medicaid Services Quality Measures Reflect Cost-Effectiveness Evidence?

OBJECTIVES

Despite its importance of quality measures used by the Centers for Medicare and Medicaid Services, the underlying cost-effectiveness evidence has not been examined. This study aimed to analyze cost-effectiveness evidence associated with the Centers for Medicare and Medicaid Services quality measures.

METHODS

After classifying 23 quality measures with the Donabedian's structure-process-outcome quality of care model, we identified cost-effectiveness analyses (CEAs) relevant to these measures from the Tufts Medical Center CEA Registry based on the PICOTS (population, intervention, comparator, outcome, time horizon, and setting) framework. We then summarized available incremental cost-effectiveness ratios (ICERs) to determine the cost-effectiveness of the quality measures.

RESULTS

The 23 quality measures were categorized into 14 process, 7 outcome, and 2 structure measures. Cost-effectiveness evidence was only available for 8 of 14 process measures. Two measures (Tobacco Screening and Hemoglobin bA1c Control) were cost-saving and quality-adjusted life-years (QALYs) improving, and 5 (Depression Screening, Influenza Immunization, Colon Cancer Screening, Breast Cancer Screening, and Statin Therapy) were highly cost-effective (median ICER ≤ $50 000/QALY). The remaining measure (Fall Screening) had a median ICER of $120 000/QALY. No CEAs were available for 15 measures: 10 defined by subjective patient ratings and 5 employed outcome measures without specifying an intervention or process.

CONCLUSIONS

When relevant CEAs were available, cost-effectiveness evidence was consistent with quality measures (measures were cost-effective). Nevertheless, most quality measures were based on subjective ratings or outcome measures, posing a challenge in identifying supporting economic evidence. Refining and aligning quality measures with cost-effectiveness evidence can help further improve healthcare efficiency by demonstrating that they are good indicators of both quality and cost-effectiveness of care.

Assessing the influence of patient language preference on 30 day hospital readmission risk from home health care: A retrospective analysis

BACKGROUND

In home health care, language barriers are understudied. Language barriers between patients and providers are known to affect a variety of patient outcomes. How a patient's language preference influences hospital readmission risk from home health care has yet to be determined.

OBJECTIVE

To determine if home care patients' language preference is associated with their risk for hospital readmission from home health care within 30 days of hospital discharge.

DESIGN

Retrospective cross-sectional study of hospital readmissions from an urban home health care agency's administrative records and the national electronic home health care record for the United States, captured between 2010 and 2015.

SETTING

New York City, New York, USA.

PARTICIPANTS

The dataset comprised 90,221 post-hospitalization patients and 6.5 million home health care visits.

METHODS

First, a Chi-square test was used to determine if there were significant differences in crude readmission rates based on language group. Inverse probability of treatment weighting was used to adjust for significant differences in known hospital readmission risk factors between to examine all-cause hospital readmission during a home health care stay. The final matched sample included 87,561 patients with a language preference of English, Spanish, Russian, Chinese, or Korean. English-speaking patients were considered the comparison group to the non-English speaking patients. A Marginal Structural Model was applied to estimate the impact of non-English language preference against English language preference on rehospitalization. The results of the marginal structural model were expressed as an odds ratio of likelihood of readmission to the hospital from home health care.

RESULTS

Home health patients with a non-English language preference had a higher hospital readmission risk than English-speaking patients. Crude readmission rate for the limited English proficiency patients was 20.4% (95% CI, 19.9-21.0%) overall compared to 18.5% (95% CI, 18.7-19.2%) for English speakers (p < 0.001). Being a non-English-speaking patient was associated with an odds ratio of 1.011 (95% CI, 1.004-1.018) in increased hospital readmission rates from home health care (p = 0.001). There were also statistically significant differences in readmission rate by language group (p < 0.001), with Korean speakers having the lowest rate and Spanish speakers having the highest, when compared to English speakers.

CONCLUSIONS

People with a non-English language preference have a higher readmission rate from home health care. Hospital and home healthcare agencies may need specialized care coordination services to reduce readmission risk for these patients. Tweetable abstract: A new US-based study finds that home care patients with language barriers are at higher risk for hospital readmission.

Barriers and Facilitators to Implementation of Value-Based Care Models in New Medicaid Accountable Care Organizations in Massachusetts: A Study Protocol

Introduction: Massachusetts established 17 new Medicaid accountable care organizations (ACOs) and 24 affiliated Community Partners (CPs) in 2018 as part of a large-scale healthcare reform effort to improve care value. The new ACOs will receive $1.8 billion dollars in state and federal funding over 5 years through the Delivery System Reform Incentive Program (DSRIP). The multi-faceted study described in this protocol aims to address gaps in knowledge about Medicaid ACOs' impact on healthcare value by identifying barriers and facilitators to implementation and sustainment of the DSRIP-funded programs. Methods and analysis: The study's four components are: (1) Document Review to characterize the ACOs and CPs; (2) Semi-structured Key Informant Interviews (KII) with ACO and CP leadership, state-level Medicaid administrators, and patients; (3) Site visits with selected ACOs and CPs; and (4) Surveys of ACO clinical teams and CP staff. The Consolidated Framework for Implementation Research's (CFIR) serves as the study's conceptual framework; its versatile menu of constructs, arranged across five domains (Intervention Characteristics, Inner Setting, Outer Setting, Characteristics of Individuals, and Processes) guides identification of barriers and facilitators across multiple organizational contexts. For example, KII interview guides focus on understanding how Inner and Outer Setting factors may impact implementation. Document Review analysis includes extraction and synthesis of ACO-specific DSRIP-funded programs (i.e., Intervention Characteristics); KIIs and site visit data will be qualitatively analyzed using thematic analytic techniques; surveys will be analyzed using descriptive statistics (e.g., counts, frequencies, means, and standard deviations). Discussion: Understanding barriers and facilitators to implementing and sustaining Medicaid ACOs with varied organizational structures will provide critical context for understanding the overall impact of the Medicaid ACO experiment in Massachusetts. It will also provide important insights for other states considering the ACO model for their Medicaid programs. Ethics and dissemination: IRB determinations were that the overall study did not constitute human subjects research and that each phase of primary data collection should be submitted for IRB review and approval. Study results will be disseminated through traditional channels such as peer reviewed journals, through publicly available reports on the mass.gov website; and directly to key stakeholders in ACO and CP leadership.

The Centers for Medicaid and Medicare Services State Innovation Models Initiative and Social Risk Factors: Improved Diagnosis Among Hospitalized Adults With Diabetes

INTRODUCTION

Unaddressed social risks among hospitalized patients with chronic conditions contribute to costly complications and preventable hospitalizations. This study examines whether the Centers for Medicaid and Medicare Services State Innovation Models initiative, through payment and delivery system reforms, accelerates the diagnosis of social risk factors among hospitalized adults with diabetes.

METHODS

Encounter-level data were from the Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project State Inpatient Databases (2010-2015, N=5,040,456). Difference-in-difference logistic regression estimated the extent to which hospitalized adults with diabetes in 4 State Innovation Models states (Arkansas, Massachusetts, Oregon, and Vermont) had increased odds of having a social risk factor diagnosed with an ICD-9 V code compared with hospitalized adults with diabetes in 4 comparison states (Arizona, Georgia, New Jersey, and New Mexico) 2 years after implementation. Data were analyzed between June and December 2019.

RESULTS

Adults with diabetes who were hospitalized in State Innovation Models states had a 30% greater increase in the odds of having a V code documented after implementation than adults with diabetes who were hospitalized in comparison states (AOR=1.29, 95% CI=1.07, 1.56). However, V code use remained infrequent, with only 2.05% of encounters, on average, having any V codes on record in State Innovation Models states after implementation.

CONCLUSIONS

The State Innovation Models initiative slightly but significantly improved the diagnosis of social risks among hospitalized adults with diabetes. State-led delivery system and payment reform may help support movement of hospitals toward better recognition and management of social determinants of health.

The Early Impact of the Centers for Medicare & Medicaid Services State Innovation Models Initiative on 30-Day Hospital Readmissions Among Adults With Diabetes

BACKGROUND

The Centers for Medicare & Medicaid Services (CMS) State Innovation Models (SIM) Initiative funds states to accelerate delivery system and payment reforms. All SIM states focus on improving diabetes care, but SIM's effect on 30-day readmissions among adults with diabetes remains unclear.

METHODS

A quasi-experimental research design estimated the impact of SIM on 30-day hospital readmissions among adults with diabetes in 3 round 1 SIM states (N=671,996) and 3 comparison states (N=2,719,603) from 2010 to 2015. Difference-in-differences multivariable logistic regression models that incorporated 4-group propensity score weighting were estimated. Heterogeneity of SIM effects by grantee state and for CMS populations were assessed.

RESULTS

In adjusted difference-in-difference analyses, SIM was associated with an increase in odds of 30-day hospital readmission among patients in SIM states in the post-SIM versus pre-SIM period relative to the ratio in odds of readmission among patients in the comparison states post-SIM versus pre-SIM (ratio of adjusted odds ratio=1.057, P=0.01). Restricting the analyses to CMS populations (Medicare and Medicaid beneficiaries), resulted in consistent findings (ratio of adjusted odds ratio=1.057, P=0.034). SIM did not have different effects on 30-day readmissions by state.

CONCLUSIONS

We found no evidence that SIM reduced 30-day readmission rates among adults with diabetes during the first 2 years of round 1 implementation, even among CMS beneficiaries. It may be difficult to reduce readmissions statewide without greater investment in health information exchange and more intensive use of payment models that promote interorganizational coordination.

Association of Alternative Payment and Delivery Models With Outcomes for Mental Health and Substance Use Disorders: A Systematic Review

IMPORTANCE

Health care spending in the United States continues to grow. Mental health and substance use disorders (MH/SUDs) are prevalent and associated with worse health outcomes and higher health care spending; alternative payment and delivery models (APMs) have the potential to facilitate higher quality, integrated, and more cost-effective MH/SUD care.

OBJECTIVE

To systematically review and summarize the published literature on populations and MH/SUD conditions examined by APM evaluations and the associations of APMs with MH/SUD outcomes.

EVIDENCE REVIEW

A literature search of MEDLINE, PsychInfo, Scopus, and Business Source was conducted from January 1, 1997, to May 17, 2019, for publications examining APMs for MH/SUD services, assessing at least 1 MH/SUD outcome, and having a comparison group. A total of 27 articles met these criteria, and each was classified according to the Health Care Payment Learning and Action Network's APM framework. Strength of evidence was graded using a modified Oxford Centre for Evidence-Based Medicine framework.

FINDINGS

The 27 included articles evaluated 17 APM implementations that spanned 3 Health Care Payment Learning and Action Network categories and 6 subcategories, with no single category predominating the literature. APMs varied with regard to their assessed outcomes, funding sources, target populations, and diagnostic focuses. The APMs were primarily evaluated on their associations with process-of-care measures (15 [88.2%]), followed by utilization (11 [64.7%]), spending (9 [52.9%]), and clinical outcomes (5 [29.4%]). Medicaid and publicly funded SUD programs were most common, with each representing 7 APMs (41.2%). Most APMs focused on adults (11 [64.7%]), while fewer (2 [11.8%]) targeted children or adolescents. More than half of the APMs (9 [52.9%]) targeted populations with SUD, while 4 (23.5%) targeted MH populations, and the rest targeted MH/SUD broadly defined. APMs were most commonly associated with improvements in MH/SUD process-of-care outcomes (12 of 15 [80.0%]), although they were also associated with lower spending (4 of 8 [50.0%]) and utilization (5 of 11 [45.5%]) outcomes, suggesting gains in value from APMs. However, clinical outcomes were rarely measured (5 APMs [29.4%]). A total of 8 APMs (47.1%) assessed for gaming (ie, falsification of outcomes because of APM incentives) and adverse selection, with 1 (12.5%) showing evidence of gaming and 3 (37.5%) showing evidence of adverse selection. Other than those assessing accountable care organizations, few studies included qualitative evaluations.

CONCLUSIONS AND RELEVANCE

In this study, APMs were associated with improvements in process-of-care outcomes, reductions in MH/SUD utilization, and decreases in spending. However, these findings cannot fully substitute for assessments of clinical outcomes, which have rarely been evaluated in this context. Additionally, this systematic review identified some noteworthy evidence for gaming and adverse selection, although these outcomes have not always been duly measured or analyzed. Future research is needed to better understand the varied qualitative experiences across APMs, their successful components, and their associations with clinical outcomes among diverse populations and settings.

Leading Innovative Practice: Leadership Attributes in LEAP Practices

Policy Points An onslaught of policies from the federal government, states, the insurance industry, and professional organizations continually requires primary care practices to make substantial changes; however, ineffective leadership at the practice level can impede the dissemination and scale-up of these policies. The inability of primary care practice leadership to respond to ongoing policy demands has resulted in moral distress and clinician burnout. Investments are needed to develop interventions and educational opportunities that target a broad array of leadership attributes.

CONTEXT

Over the past several decades, health care in the United States has undergone substantial and rapid change. At the heart of this change is an assumption that a more robust primary care infrastructure helps achieve the quadruple aim of improved care, better patient experience, reduced cost, and improved work life of health care providers. Practice-level leadership is essential to succeed in this rapidly changing environment. Complex adaptive systems theory offers a lens for understanding important leadership attributes.

METHODS

A review of the literature on leadership from a complex adaptive system perspective identified nine leadership attributes hypothesized to support practice change: motivating others to engage in change, managing abuse of power and social influence, assuring psychological safety, enhancing communication and information sharing, generating a learning organization, instilling a collective mind, cultivating teamwork, fostering emergent leaders, and encouraging boundary spanning. Through a secondary qualitative analysis, we applied these attributes to nine practices ranking high on both a practice learning and leadership scale from the Learning from Effective Ambulatory Practice (LEAP) project to see if and how these attributes manifest in high-performing innovative practices.

FINDINGS

We found all nine attributes identified from the literature were evident and seemed important during a time of change and innovation. We identified two additional attributes-anticipating the future and developing formal processes-that we found to be important. Complexity science suggests a hypothesized developmental model in which some attributes are foundational and necessary for the emergence of others.

CONCLUSIONS

Successful primary care practices exhibit a diversity of strong local leadership attributes. To meet the realities of a rapidly changing health care environment, training of current and future primary care leaders needs to be more comprehensive and move beyond motivating others and developing effective teams.