The role of primary care providers in testing for sexually transmitted infections in the MassHealth Medicaid program.

The objective of this study was to determine the prevalence and predictors of testing for sexually transmitted infections (STIs) under an accountable care model of health care delivery. Data sources were claims and encounter records from the Massachusetts Medicaid and Children's Health Insurance Program (MassHealth) for enrollees aged 13 to 64 years in 2019. This cross-sectional study examines the one-year prevalence of STI testing and evaluates social determinants of health and other patient characteristics as predictors of such testing in both primary care and other settings. We identified visits with STI testing using procedure codes and primary care settings from provider code types. Among 740,417 members, 55% were female, 11% were homeless or unstably housed, and 15% had some level of disability. While the prevalence of testing in any setting was 20% (N = 151,428), only 57,215 members had testing performed in a primary care setting, resulting in an 8% prevalence of testing by primary care clinicians (PCCs). Members enrolled in a managed care organization (MCO) were significantly less likely to be tested by a primary care provider than those enrolled in accountable care organization (ACO) plans that have specific incentives for primary care practices to coordinate care. Enrollees in a Primary Care ACO had the highest rates of STI testing, both overall and by primary care providers. Massachusetts' ACO delivery systems may be able to help practices increase STI screening with explicit incentives for STI testing in primary care settings.

Measuring The Enduring Imprint Of Structural Racism On American Neighborhoods.

A long history of discriminatory policies in the United States has created disparities in neighborhood resources that shape ethnoracial health inequities today. To quantify these differences, we organized publicly available data on forty-two variables at the census tract level within nine domains affected by structural racism: built environment, criminal justice, education, employment, housing, income and poverty, social cohesion, transportation, and wealth. Using data from multiple sources at several levels of geography, we developed scores in each domain, as well as a summary score that we call the Structural Racism Effect Index. We examined correlations with life expectancy and other measures of health for this index and other commonly used area-based indices. The Structural Racism Effect Index was more strongly associated with each health outcome than were the other indices. Its domain and summary scores can be used to describe differences in social risk factors, and they provide powerful new tools to guide policies and investments to advance health equity.

Paying for Medical and Social Complexity in Massachusetts Medicaid.

Importance: The first MassHealth Social Determinants of Health payment model boosted payments for groups with unstable housing and those living in socioeconomically stressed neighborhoods. Improvements were designed to address previously mispriced subgroups and promote equitable payments to MassHealth accountable care organizations (ACOs). Objective: To develop a model that ensures payments largely follow observed costs for members with complex health and/or social risks. Design, Setting, and Participants: This cross sectional study used administrative data for members of the Massachusetts Medicaid program MassHealth in 2016 or 2017. Participants included members who were eligible for MassHealth's managed care, aged 0 to 64 years, and enrolled for at least 183 days in 2017. A new total cost of care model was developed and its performance compared with 2 earlier models. All models were fit to 2017 data (most recent available) and validated on 2016 data. Analyses were begun in February 2019 and completed in January 2023. Exposures: Model 1 used age-sex categories, a diagnosis-based morbidity relative risk score (RRS), disability, serious mental illness, substance use disorder, housing problems, and neighborhood stress. Model 2 added an interaction for unstable housing with RRS. Model 3 added rurality and updated diagnosis-based RRS, medication-based RRS, and interactions between sociodemographic characteristics and morbidity. Main Outcome and Measures: Total 2017 annual cost was modeled and overall model performance (R2) and fair pricing of subgroups evaluated using observed-to-expected (O:E) ratios. Results: Among 1 323 424 members, mean (SD) age was 26.4 (17.9) years, 53.4% were female (46.6% male), and mean (SD) 2017 cost was $5862 ($15 417). The R2 for models 1, 2, and 3 was 52.1%, 51.5%, and 60.3%, respectively. Earlier models overestimated costs for members without behavioral health conditions (O:E ratios 0.94 and 0.93 for models 1 and 2, respectively) and underestimated costs for those with behavioral health conditions (O:E ratio >1.10); model 3 O:E ratios were near 1.00. Model 3 was better calibrated for members with housing problems, those with children, and those with high morbidity scores. It reduced underpayments to ACOs whose members had high medical and social complexity. Absolute and relative model performance were similar in 2016 data. Conclusions and Relevance: In this cross-sectional study of data from Massachusetts Medicaid, careful modeling of social and medical risk improved model performance and mitigated underpayments to safety-net systems.

Trade-offs in locational choices for care coordination resources in accountable care organizations.

BACKGROUND: Care coordination is central to accountable care organizations (ACOs), especially in Medicaid where many patients have complex medical and social needs. Little is known about how to best organize care coordination resources in this context, particularly whether to centralize them. We examined how care coordinators' location, management, and colocation of both (within ACO headquarters, practice sites, or other organizations) relate to care quality and coordination. METHODS: We conducted a cross-sectional analysis of surveys administered to a sample of practice sites covering all 17 Medicaid ACOs in Massachusetts ( n = 225, response rate = 64%). We applied controlled, cluster-robust regressions, adjusting the significance threshold for the number of ACO clusters, to assess how clinical information sharing across settings, care quality improvement, knowledge of social service referral, and cross-resource coordination (i.e., the ability of multiple resources to work well together) relate to where care coordinators were physically located and/or managed. RESULTS: Centralizing care coordinators at ACO headquarters was associated with greater information sharing. Embedding care coordinators in practices was associated with greater care quality improvement. Embedding coordinators at other organizations was associated with less information sharing and care quality improvement. Managing coordinators at practice sites and other organizations were associated with better care quality improvement and cross-resource coordination, respectively. Colocating the two functions showed no significant differences. PRACTICE IMPLICATIONS: Choosing care coordinators' locations may present trade-offs. ACOs may strategically choose embedding care coordinators at practice sites for enhanced care quality versus centralizing them at the ACO to facilitate information sharing.

Discontinuation of oral anticoagulant use among nursing home residents with atrial fibrillation before hospice enrollment.

BACKGROUND: Oral anticoagulants (OACs) are effective in reducing the risk of cardioembolic stroke due to atrial fibrillation. While most nursing home residents with atrial fibrillation qualify for anticoagulation based on clinical guidelines, the net clinical benefits of OACs may diminish as residents approach the end of life. METHODS: We conducted a cross-sectional study of 30,503 US nursing home residents with atrial fibrillation (based on Minimum Data Set 3.0 and Medicare Part A records) who used OACs in the year before enrolling in hospice care during 2012-2016. Whether residents discontinued OACs before hospice enrollment was determined using Part D claims and date of hospice enrollment. Modified Poisson models estimated adjusted prevalence ratios (aPR). RESULTS: Almost half (45.7%) of residents who had recent OAC use discontinued prior to hospice enrollment. Residents who were underweight (aPR: 1.02; 95% confidence interval [CI]: 1.01-1.03), those with high bleeding risk (aPR: 1.04, 95% CI: 1.03-1.05), and those with moderate or severe cognitive impairment (aPR: 1.02, 95% CI: 1.02-1.03) had a higher prevalence of OAC discontinuation before entering hospice. Residents with venous thromboembolism (aPR: 0.94, 95% CI: 0.93-0.96), statin users (aPR: 0.88, 95% CI: 0.87-0.89), and those on polypharmacy (≥10 medications, aPR: 0.72; 95% CI: 0.71-0.73) were less likely to discontinue OACs before enrollment in hospice. CONCLUSION: Anticoagulants are often discontinued among older nursing home residents with atrial fibrillation before hospice enrollment; it is not clear that these decisions are driven solely by net clinical benefit considerations. Further research is needed on comparative outcomes to inform resident-centered decisions regarding OAC use in older adults entering hospice.

Prescription digital therapeutics: Applying Medicaid experience to value assessment and formulary management.

Digital therapeutics (DTx) are a rapidly growing therapeutic category with more than 150 clinical trials evaluating US Food and Drug Administration-regulated DTx to develop additional evidence by the end of 2022. Investments in DTx development have doubled since 2019, reaching $14.7 billion in 2021. Prescription DTx are regulated by the US Food and Drug Administration and require demonstration of efficacy and safety prior to commercialization and reimbursement by payers. Drawing insights from the Massachusetts Medicaid program's early experience with prescription DTx, we provide an overview of this new category of therapeutics and suggest a roadmap for payers and policymakers to evaluate the value of prescription DTx for their member population. Finally, we propose solutions to potential challenges that may be encountered in the DTx coverage and reimbursement management.

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.

Facilitators and Barriers to Care Coordination Between Medicaid Accountable Care Organizations and Community Partners: Early Lessons From Massachusetts.

Care coordination is central to health care delivery system reform efforts to control costs, improve quality, and enhance patient outcomes, especially for individuals with complex medical and social needs. The potential impact of addressing health-related social needs further illustrates the importance of coordinating health care services with community-based organizations that provide social services and support. This study offers early findings from a unique approach to care coordination delivered by 17 Medicaid Accountable Care Organizations and 27 partnering community-based organizations for individuals with behavioral health conditions and/or those needing long-term services and supports. Interview data from 54 key informants were qualitatively analyzed to understand factors affecting cross-sector integrated care. Key themes emerged, essential to implementing the new model statewide: clarifying roles and responsibilities; promoting communication; facilitating information exchange; developing workforce capacity; building essential relationships; and responsive, supportive program management through real-time feedback, financial incentives, technical assistance, and flexibility from the state Medicaid program.

Association of Social Determinants of Health With Adherence to Second-generation Antipsychotics for People With Bipolar Disorders in a Medicaid Population.

BACKGROUND: About 7 million people, 2.8% of US adults, have bipolar disorder (BD). While second-generation antipsychotics (SGA) are indicated as acute and maintenance treatments for BD, therapeutic success requires medication adherence and reported nonadherence estimates to range as high as 60%. Identifying patient risk factors for nonadherence is important for reducing it. OBJECTIVE: The objective of this study was to quantify the associations of risk factors, including social determinants of health, with SGA nonadherence among patients with BD. METHODS: In this cross-sectional study of 2015-2017 MassHealth Medicaid data, we examined several definitions of adherence and used logistic regression to identify risk factors for nonadherence (medication possession ratio <0.8) among all adults aged 18-64 diagnosed with BD who could be followed for 12 months following SGA initiation. RESULTS: Among 5197 patients, the mean (±SD) age was 37.7 (±11.4) years, and 42.3% were men. Almost half (47.7%) of patients were nonadherent to SGAs when measured by medication possession ratio. The prevalence of nonadherence peaked at middle age for men and younger for women. Nonadherence was less common among Massachusetts' Department of Mental Health clients (odds ratio=0.60, 95% confidence limit: 0.48-0.74) and among those who used other psychotropic medications (odds ratios between 0.45 and 0.81); in contrast, increase in neighborhood socioeconomic stress was associated with increased odds of nonadherence. CONCLUSIONS/IMPLICATIONS: Adherence to SGA treatment is suboptimal among people with BD. Recognizing risk factors, including those related to social determinants of health, can help target interventions to improve adherence for people at high risk and has implications for adherence-based quality measures.

Prevalence and the factors associated with oral anticoagulant use among nursing home residents.

WHAT IS KNOWN AND OBJECTIVE: Anticoagulants are indicated for treatment and prevention of several clinical conditions. Prior studies have examined anticoagulant utilization for specific indications and in community-dwelling populations. Decision-making regarding anticoagulant prescribing in the nursing home setting is particularly challenging because advanced age and clinical complexity places most residents at increased risk for adverse drug events. To estimate the prevalence of oral anticoagulant (OAC) use (overall, warfarin, direct oral anticoagulants (DOACs)) and identify factors associated with oral anticoagulant use among the general population of residents living in nursing homes. METHODS: This point prevalence study was conducted among 506,482 residents in US nursing homes on 31 October 2016 who were enrolled in Medicare fee-for-service. Covariates including demographics, clinical conditions, medications, cognitive impairment and functional status were obtained from Minimum Data Set 3.0 assessments and Medicare Part A and D claims. Oral anticoagulant use was identified using dispensing dates and days supply information from Medicare Part D claims. Robust Poisson models estimated adjusted prevalence ratios (aPR) for associations between covariates and 1) any anticoagulant use, and 2) DOAC versus warfarin use. RESULTS AND DISCUSSION: Overall, 11.8% of residents used oral anticoagulants. Among users, 44.3% used DOACs. Residents with body mass index (BMI) ≥40 kg/m2 (aPR: 1.66; 95% CI: 1.61 -1.71), with functional dependency in activities of daily living, polypharmacy and higher CHA2 DS2 -VASc risk ischaemic stroke scores, had a higher prevalence of oral anticoagulant use. Women (aPR: 0.78; 95% CI: 0.76-0.79), residents with limited life expectancy (aPR 0.80; 95% CI: 0.76-0.83), those with moderate-to-severe cognitive impairment (aPR: 0.67; 95% CI: 0.65-0.68), those using NSAIDs or antiplatelets, and non-white racial/ethnic groups had a lower prevalence of anticoagulant use. Residents with higher levels of polypharmacy, BMI and age had a lower prevalence of DOAC use (versus warfarin). WHAT IS NEW AND CONCLUSION: Approximately one in eight general nursing home residents use oral anticoagulants and among oral anticoagulant users, only slightly more residents used warfarin than DOACs. The lower prevalence of anticoagulation among women and non-white racial/ethnic groups raises concerns of potential inequities in quality of care. Lower oral anticoagulant use among residents with limited life expectancy suggests possible deprescribing at the end of life. Further research is needed to inform resident-centred shared decision-making that explicitly considers treatment goals and individual-specific risks and benefits of anticoagulation at all stages of the medication use continuum.

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.

Complex Patients Have More Emergency Visits: Don't Punish the Systems That Serve Them.

IMPORTANCE: Better patient management can reduce emergency department (ED) use. Performance measures should reward plans for reducing utilization by predictably high-use patients, rather than rewarding plans that shun them. OBJECTIVE: The objective of this study was to develop a quality measure for ED use for people diagnosed with serious mental illness or substance use disorder, accounting for both medical and social determinants of health (SDH) risks. DESIGN: Regression modeling to predict ED use rates using diagnosis-based and SDH-augmented models, to compare accuracy overall and for vulnerable populations. SETTING: MassHealth, Massachusetts' Medicaid and Children's Health Insurance Program. PARTICIPANTS: MassHealth members ages 18-64, continuously enrolled for the calendar year 2016, with a diagnosis of serious mental illness or substance use disorder. EXPOSURES: Diagnosis-based model predictors are diagnoses from medical encounters, age, and sex. Additional SDH predictors describe housing problems, behavioral health issues, disability, and neighborhood-level stress. MAIN OUTCOME AND MEASURES: We predicted ED use rates: (1) using age/sex and distinguishing between single or dual diagnoses; (2) adding summarized medical risk (DxCG); and (3) further adding social risk (SDH). RESULTS: Among 144,981 study subjects, 57% were women, 25% dually diagnosed, 67% White/non-Hispanic, 18% unstably housed, and 37% disabled. Utilization was higher by 77% for those dually diagnosed, 50% for members with housing problems, and 18% for members living in the highest-stress neighborhoods. SDH modeling predicted best for these high-use populations and was most accurate for plans with complex patients. CONCLUSION: To set appropriate benchmarks for comparing health plans, quality measures for ED visits should be adjusted for both medical and social risks.

Geographic Variation in Anticoagulant Use and Resident, Nursing Home, and County Characteristics Associated With Treatment Among US Nursing Home Residents.

OBJECTIVES: To quantify geographic variation in anticoagulant use and explore what resident, nursing home, and county characteristics were associated with anticoagulant use in a clinically complex population. DESIGN: A repeated cross-sectional design was used to estimate current oral anticoagulant use on December 31, 2014, 2015, and 2016. SETTING AND PARTICIPANTS: Secondary data for United States nursing home residents during the period 2014-2016 were drawn from the Minimum Data Set 3.0 and Medicare Parts A and D. Nursing home residents (≥65 years) with a diagnosis of atrial fibrillation and ≥6 months of Medicare fee-for-service enrollment were eligible for inclusion. Residents in a coma or on hospice were excluded. METHODS: Multilevel logistic models evaluated the extent to which variation in anticoagulant use between counties could be explained by resident, nursing home, and county characteristics and state of residence. Proportional changes in cluster variation (PCVs), intraclass correlation coefficients (ICCs), and adjusted odds ratios (aORs) were estimated. RESULTS: Among 86,736 nursing home residents from 11,860 nursing homes and 1694 counties, 45% used oral anticoagulants. The odds of oral anticoagulant use were 18% higher in 2016 than 2014 (aOR: 1.18; 95% confidence interval: 1.14-1.22). Most states had counties in the highest (51.3-58.9%) and lowest (31.1%-41.4%) deciles of anticoagulant use. Compared with the null model, adjustment for resident characteristics explained one-third of the variation between counties (PCV: 34.8%). The full model explained 65.5% of between-county variation. Within-county correlation was a small proportion (ICC < 2.2%) of total variation. CONCLUSIONS AND IMPLICATIONS: In this older adult population at high risk for ischemic stroke, less than half of the residents received treatment with anticoagulants. Variation in treatment across counties was partially attributable to the characteristics of residents, nursing homes, and counties. Comparative evidence and refinement of predictive algorithms specific to the nursing home setting may be warranted.

Calibrating Medicaid payment to need for long-term services and supports.

OBJECTIVES: The Massachusetts Medicaid and Children's Health Insurance Program, MassHealth, offers comprehensive Senior Care Options (SCO) plans to its Medicare-eligible members 65 years and older. Historically, MassHealth has paid a fixed per-person capitation rate for any "nursing home-certifiable" SCO member despite considerable heterogeneity of need. Our objective was to develop a model to predict long-term services and supports (LTSS) costs for community-dwelling SCO members. STUDY DESIGN: Concurrent predictive modeling. METHODS: We studied nursing home-certifiable SCO members who were enrolled for at least 183 days during 2016-2017 and used linear models to predict annual cost of community-based LTSS from demographic, medical, social determinants of health, and functional characteristics. We evaluated model performance using predictive performance (R2) and predictive ratios (observed costs divided by predicted costs) for various vulnerable subgroups. RESULTS: The modeling population included 35,259 enrollees. Mean (SD) annualized LTSS cost was $14,071 ($13,174). Functional status (ie, activities of daily living [ADLs] and instrumental ADLs) accounted for most of the variability in community LTSS cost (R2 = 18.4%) explainable by available variables. The Massachusetts SCO (MA-SCO) model (R2 = 21.6%) predicts accurately for several high-cost, vulnerable subgroups. Compared with fixed per-member capitation payments for all, the MA-SCO model reduces, for example, the payment to one plan by 28% and increases that to another by 35%. CONCLUSIONS: Predictive models using administrative data and functional status information can appropriately allocate payments for subgroups of members with LTSS needs that differ substantially from average. Calibrating payment to need mitigates incentives for population skimming and promotes the sustainability of mission-oriented organizations.

Comparative Safety and Effectiveness of Direct-Acting Oral Anticoagulants Versus Warfarin: a National Cohort Study of Nursing Home Residents.

BACKGROUND: Research comparing direct-acting oral anticoagulants (DOACs) to warfarin has excluded nursing home residents, a vulnerable and high-risk population. OBJECTIVE: To compare the safety and effectiveness of DOACs versus warfarin. DESIGN: New-user cohort study (2011-2016). PATIENTS: US nursing home residents aged > 65 years with non-valvular atrial fibrillation enrolled in fee-for-service Medicare for > 6 months. EXPOSURES: Initiators of DOACs (2881 apixaban, 1289 dabigatran, 3735 rivaroxaban) were 1:1 propensity matched to warfarin initiators. MAIN MEASURES: Outcomes included ischemic stroke or transient ischemic attack (i.e., ischemic cerebrovascular event), bleeding (extracranial or intracranial), other vascular events, death, and a composite of all outcomes. Absolute rate differences (RD) and cause-specific hazard ratios (HR) with 95% confidence intervals (CI) were estimated. Subgroup analyses were performed by alignment of DOAC dosing with labeling. KEY RESULTS: Median age (84 years), CHA2DS2-Vasc (5), and ATRIA risk scores (3) were similar across medications. Clinical outcome rates were similar for dabigatran and rivaroxaban users versus warfarin users. However, ischemic cerebrovascular event rates were higher among dabigatran and rivaroxaban users that received reduced dosages without an indication. Overall, apixaban users had higher ischemic cerebrovascular event rates (HR 1.86; 95% CI 1.00-3.45) and lower bleeding rates (HR 0.66; 95% CI 0.49-0.88), but outcome rates varied by dosing alignment. Mortality rates (per 100 person-years) were lower for apixaban (RDs - 9.30; 95% CI - 13.18 to - 5.42), dabigatran (RDs - 10.79; 95% CI - 14.98 to - 6.60), and rivaroxaban (RDs - 8.92; 95% CI - 12.01 to - 5.83) versus warfarin; composite outcome findings were similar. CONCLUSIONS: Among US nursing home residents, the DOACs were each associated with lower mortality versus warfarin. Misaligned DOAC dosing was common in nursing homes and was associated with clinical and mortality outcomes. Overall, DOAC users had lower rates of adverse outcomes including mortality compared with warfarin users.

Evaluation of Care Processes and Health Care Utilization in Newly Implemented Medical Homes in Italy: A Population-Based Cross-sectional Study.

In the Local Health Authority (LHA) of Parma, Emilia Romagna, Italy, 16 medical homes were established between 2011 and 2014. The authors implemented a 1-year (January 1, 2015, to December 31, 2015) cross-sectional population-based design to compare utilization and processes of care between medical homes and comparison practices using the Parma LHA administrative health care database. Residents (n = 372 396) attributed to a primary care physician practicing in a medical home as of January 1, 2015, were considered exposed to medical homes. Adjusted rates of emergency department (ED) use (incidence rate ratio [IRR] = 0.86; 95% CI = 0.82-0.90), potentially avoidable ED use (IRR = 0.78; 95% CI = 0.72-0.84), and hospitalization for chronic ambulatory care sensitive conditions (ACSCs; IRR = 0.87, 95% CI = 0.78-0.97) were lower among patients in medical homes. Performance on process of care measures favored the medical home group; however, associations were generally weak. Receipt of care in medical homes in Parma LHA was associated with lower rates of avoidable ED visits and hospitalizations for chronic ACSCs.