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INTRODUCTION: Latinas in the United States have higher mortality from breast cancer, but longitudinal studies of mammography ordering (a crucial initial step towards screening) in primary care are lacking. METHODS: We conducted an analysis of mammography order rates in Latinas (by language preference) and non-Latina white women (N = 181,755) over a > 10 year period in a multi-state network of community health centers (CHCs). We evaluated two outcomes (ever having a mammogram order and annual rate of mammography orders) using generalized estimating equation modeling. RESULTS: Approximately one-third of all patients had ever had a mammogram order. Among those receiving mammogram orders, English-preferring Latinas had lower mammogram order rates than non-Hispanic white women (RR = 0.92, 95% CI = 0.89-0.95). Spanish-preferring Latinas had higher odds of ever having a mammogram ordered than non-Hispanic whites (odds ratio = 2.12, 95% CI = 2.06-2.18) and, if ever ordered, had a higher rate of annual mammogram orders (rate ratio = 1.53, 95% CI = 1.50-1.56). CONCLUSION: These findings suggest that breast cancer detection barriers in low-income Latinas may not stem from a lack of orders in primary care, but in the subsequent accessibility of receiving ordered services.

INTRODUCTION: Little has previously been reported about the implementation of social risk screening across racial/ethnic/language groups. To address this knowledge gap, the associations between race/ethnicity/language, social risk screening, and patient-reported social risks were examined among adult patients at community health centers. METHODS: Patient- and encounter-level data from 2016 to 2020 from 651 community health centers in 21 U.S. states were used; data were extracted from a shared Epic electronic health record and analyzed between December 2020 and February 2022. In adjusted logistic regression analyses stratified by language, robust sandwich variance SE estimators were applied with clustering on patients primary care facility. RESULTS: Social risk screening occurred at 30% of health centers; 11% of eligible adult patients were screened. Screening and reported needs varied significantly by race/ethnicity/language. Black Hispanic and Black non-Hispanic patients were approximately twice as likely to be screened, and Hispanic White patients were 28% less likely to be screened than non-Hispanic White patients. Hispanic Black patients were 87% less likely to report social risks than non-Hispanic White patients. Among patients who preferred a language other than English or Spanish, Black Hispanic patients were 90% less likely to report social needs than non-Hispanic White patients. CONCLUSIONS: Social risk screening documentation and patient reports of social risks differed by race/ethnicity/language in community health centers. Although social care initiatives are intended to promote health equity, inequitable screening practices could inadvertently undermine this goal. Future implementation research should explore strategies for equitable screening and related interventions.

Evidence is needed about how to effectively support health care providers in implementing screening for social risks (adverse social determinants of health) and providing related referrals meant to address identified social risks. This need is greatest in underresourced care settings. The authors tested whether an implementation support intervention (6 months of technical assistance and coaching study clinics through a five-step implementation process) improved adoption of social risk activities in community health centers (CHCs). Thirty-one CHC clinics were block-randomized to six wedges that occurred sequentially. Over the 45-month study period from March 2018 to December 2021, data were collected for 6 or more months preintervention, the 6-month intervention period, and 6 or more months postintervention. The authors calculated clinic-level monthly rates of social risk screening results that were entered at in-person encounters and rates of social risk-related referrals. Secondary analyses measured impacts on diabetes-related outcomes. Intervention impact was assessed by comparing clinic performance based on whether they had versus had not yet received the intervention in the preintervention period compared with the intervention and postintervention periods. In assessing the results, the authors note that five clinics withdrew from the study for various bandwidth-related reasons. Of the remaining 26, a total of 19 fully or partially completed all 5 implementation steps, and 7 fully or partially completed at least the first 3 steps. Social risk screening was 2.45 times (95% confidence interval [CI], 1.32-4.39) higher during the intervention period compared with the preintervention period; this impact was not sustained postintervention (rate ratio, 2.16; 95% CI, 0.64-7.27). No significant difference was seen in social risk referral rates during the intervention or postintervention periods. The intervention was associated with greater blood pressure control among patients with diabetes and lower rates of diabetes biomarker screening postintervention. All results must be interpreted considering that the Covid-19 pandemic began midway through the trial, which affected care delivery generally and patients at CHCs particularly. Finally, the study results show that adaptive implementation support was effective at temporarily increasing social risk screening. It is possible that the intervention did not adequately address barriers to sustained implementation or that 6 months was not long enough to cement this change. Underresourced clinics may struggle to participate in support activities over longer periods without adequate resources, even if lengthier support is needed. As policies start requiring documentation of social risk activities, safety-net clinics may be unable to meet these requirements without adequate financial and coaching/technical support.

IntroductionSocial risks (e.g., food/transportation insecurity) can hamper type 2 diabetes mellitus (T2DM) self-management, leading to poor outcomes. To determine the extent to which high-quality care can overcome social risks' health impacts, this study assessed the associations between reported social risks, receipt of guideline-based T2DM care, and T2DM outcomes when care is up to date among community health center patients.MethodsA cross-sectional study of adults aged ≥18 years (N=73,484) seen at 186 community health centers, with T2DM and ≥1 year of observation between July 2016 and February 2020. Measures of T2DM care included up-to-date HbA1c, microalbuminuria, low-density lipoprotein screening, and foot examination, and active statin prescription when indicated. Measures of T2DM outcomes among patients with up-to-date care included blood pressure, HbA1c, and low-density lipoprotein control on or within 6‒12 months of an index encounter. Analyses were conducted in 2021.ResultsIndividuals reporting transportation or housing insecurity were less likely to have up-to-date low-density lipoprotein screening; no other associations were seen between social risks and clinical care quality. Among individuals with up-to-date care, food insecurity was associated with lower adjusted rates of controlled HbA1c (79% vs 75%, p

PURPOSE Practice facilitation is an evidence-informed implementation strategy to support quality improvement (QI) and aid practices in aligning with best evidence. Few studies, particularly of this size and scope, identify strategies that contribute to facilitator effectiveness. METHODS We conducted a sequential mixed methods study, analyzing data from EvidenceNOW, a large-scale QI initiative. Seven regional cooperatives employed 162 facilitators to work with 1,630 small or medium-sized primary care practices. Main analyses were based on facilitators who worked with at least 4 practices. Facilitators were defined as more effective if at least 75% of their practices improved on at least 1 outcome measure-aspirin use, blood pressure control, smoking cessation counseling (ABS), or practice change capacity, measured using Change Process Capability Questionnaire-from baseline to follow-up. Facilitators were defined as less effective if less than 50% of their practices improved on these outcomes. Using an immersion crystallization and comparative approach, we analyzed observational and interview data to identify strategies associated with more effective facilitators. RESULTS Practices working with more effective facilitators had a 3.6% greater change in the mean percentage of patients meeting the composite ABS measure compared with practices working with less effective facilitators (P CONCLUSIONS Facilitation strategies that differentiate more and less effective facilitators have implications for enhancing facilitator development and training, and can assist all facilitators to more effectively support practice changes. Key words: practice facilitation; quality improvement; large-scale initiative; capacity building; implementation facilitation; organizational change; organizational innovation, INTRODUCTION Practice facilitators are trained individuals who build medical practices' capacity to make meaningful operational changes aligned with current evidence. (1,2) Facilitators provide education, motivation, accountability, and guidance on organizational [...]

BACKGROUND:National leaders recommend documenting social determinants of health and actions taken to address social determinants of health in electronic health records, and a growing body of evidence suggests the health benefits of doing so. However, little evidence exists to guide implementation of social determinants of health documentation/action. METHODS:This paper describes a 5-year, mixed-methods, stepped-wedge trial with realist evaluation, designed to test the impact of providing 30 community health centers with step-by-step guidance on implementing electronic health record-based social determinants of health documentation. This guidance will entail 6 months of tailored support from an interdisciplinary team, including training and technical assistance. We will report on tailored support provided at each of five implementation steps; impact of tailored implementation support; a method for tracking such tailoring; and context-specific pathways through which these tailored strategies effect change. We will track the competencies and resources needed to support the study clinics' implementation efforts. DISCUSSION:Results will inform how to tailor implementation strategies to meet local needs in real-world practice settings. Secondary analyses will assess impacts of social determinants of health documentation and referral-making on diabetes outcomes. By learning whether and how scalable, tailored implementation strategies help community health centers adopt social determinants of health documentation and action, this study will yield timely guidance to primary care providers. We are not aware of previous studies exploring implementation strategies that support adoption of social determinants of action using electronic health and interventions, despite the pressing need for such guidance. TRIAL REGISTRATION:clinicaltrials.gov, NCT03607617 , registration date: 7/31/2018-retrospectively registered.

PURPOSE Previous work has shown that asthma-related emergency department (ED) use is greatest among Black and Latine populations, but it is unknown whether health care use for exacerbations differs across settings (outpatient, ED, inpatient) and correlates with use of routine outpatient services. We aimed to measure disparities by race, ethnicity, and language in pediatric acute asthma care using data from US primary care community health centers. METHODS In an observational study using electronic health records from community health centers in 18 states, we compared non-Hispanic Black, English-preferring Latine, Spanish-preferring Latine, and non-Hispanic White children aged 3 to 17 years on visits for clinic-coded asthma exacerbations (2012-2018). We further evaluated asthma-related ED use and inpatient admissions in a subsample of Oregon-Medicaid recipients. Covariate-adjusted odds ratios (ORs) and rate ratios (RRs) were derived using logistic or negative binomial regression analysis with generalized estimating equations. RESULTS Among 41,276 children with asthma, Spanish-preferring Latine children had higher odds of clinic visits for asthma exacerbation than non-Hispanic White peers (OR = 1.10; 95% CI, 1.02-1.18). Among the subsample of 6,555 children insured under Oregon-Medicaid, non-Hispanic Black children had higher odds and rates of asthma-related ED use than non-Hispanic White peers (OR = 1.40; 95% CI, 1.04-1.89 and RR = 1.49; 95% CI, 1.09-2.04, respectively). We observed no differences between groups in asthma-related inpatient admissions. CONCLUSIONS This study is the first to show that patterns of clinic and ED acute-care use differ for non-Hispanic Black and Spanish-preferring Latine children when compared with non-Hispanic White peers. Non-Hispanic Black children had lower use of clinics, whereas Spanish-preferring Latine children had higher use, including for acute exacerbations. These patterns of clinic use were accompanied by higher ED use among Black children. Ensuring adequate care in clinics may be important in mitigating disparities in asthma outcomes. VISUAL ABSTRACT Ann Fam Med 2022;20:116-122. https://doi.org/10.1370/afm.2771, INTRODUCTION The prevalence of pediatric asthma in the United States remained relatively stable during 2001-2017, at about 8.5%, (1) and national surveys suggest roughly 45% of children with asthma experience [...]

Cancer is the top leading cause of death among Latino people. Lack of health insurance is a significant contributor to inadequate cancer detection and treatment. Despite healthcare policy expansions such as the Affordable Care Act, Latino people persistently maintain the highest uninsured rate among any ethnic and racial group in the US, especially among Latino individuals who are immigrants or part of a mixed immigration status household. Recognizing that immigration status is a critical factor in the ability of Latino community members to seek health insurance and access healthcare services, a few US states and the District of Columbia have implemented policies that have expanded coverage to children and adults regardless of immigration status. Expansion of Medicaid eligibility regardless of immigration status may significantly benefit Latino communities, however the facilitators and barriers to enrolling in these programs need to be evaluated to ensure reach and achieve health equity across the cancer control continuum for all Latinos. [ABSTRACT FROM AUTHOR]

Objective: To describe telemedicine use patterns and understand clinic's approaches to shifting care delivery during the COVID-19 pandemic. Methods: We used electronic health record data from 203 community health centers across 13 states between 01/01/2019 and 6/31/2021 to describe trends in telemedicine visit rates over time. Qualitative data were collected from 13 of those community health centers to understand factors influencing adoption and implementation of telemedicine. Results: Most clinics in our sample were in urban areas (n = 176) and served a majority of uninsured and publicly insured patients (12.8% and 44.4%, respectively) across racial and ethnic minority groups (16.6% Black and 29.3% Hispanic). During our analysis period there was a 791% increase in telemedicine visits from before the pandemic (.06% pre- vs 47.5% during). A latent class growth analysis was used to examine differences in patterns of adoption of telemedicine across the 203 CHCs. The model resulted in 6 clusters representing various levels of telemedicine adoption. A mixed methods approach streamlined these clusters into 4 final groups. Clinics that reported rapid adoption of telemedicine attributed this change to leadership prioritization of telemedicine, robust quality improvement processes (eg, using PDSA processes), and emphasis on training and technology support. Conclusions: In response to the COVID-19 pandemic, telemedicine adoption rates varied across clinics. Our study highlight that organizational factors contributed to the clinic's ability to rapidly uptake and use telemedicine services throughout the pandemic. These approaches could inform future non-pandemic practice change and care delivery. [ABSTRACT FROM AUTHOR]

Abstract Background Following the ACA, millions of people gained Medicaid insurance. Most electronic health record (EHR) tools to date provide clinical-decision support and tracking of clinical biomarkers, we developed an EHR tool to support community health center (CHC) staff in assisting patients with health insurance enrollment documents and tracking insurance application steps. The objective of this study was to test the effectiveness of the health insurance support tool in (1) assisting uninsured patients gaining insurance coverage, (2) ensuring insurance continuity for patients with Medicaid insurance (preventing coverage gaps between visits); and (3) improving receipt of cancer preventive care. Methods In this quasi-experimental study, twenty-three clinics received the intervention (EHR-based insurance support tool) and were matched to 23 comparison clinics. CHCs were recruited from the OCHIN network. EHR data were linked to Medicaid enrollment data. The primary outcomes were rates of uninsured and Medicaid visits. The secondary outcomes were receipt of recommended breast, cervical, and colorectal cancer screenings. A comparative interrupted time-series using Poisson generalized estimated equation (GEE) modeling was performed to evaluate the effectiveness of the EHR-based tool on the primary and secondary outcomes. Results Immediately following implementation of the enrollment tool, the uninsured visit rate decreased by 21.0% (Adjusted Rate Ratio [RR] = 0.790, 95% CI = 0.621–1.005, p = .055) while Medicaid-insured visits increased by 4.5% (ARR = 1.045, 95% CI = 1.013–1.079) in the intervention group relative to comparison group. Cervical cancer preventive ratio increased 5.0% (ARR = 1.050, 95% CI = 1.009–1.093) immediately following implementation of the enrollment tool in the intervention group relative to comparison group. Among patients with a tool use, 81% were enrolled in Medicaid 12 months after tool use. For the 19% who were never enrolled in Medicaid following tool use, most were uninsured (44%) at the time of tool use. Conclusions A health insurance support tool embedded within the EHR can effectively support clinic staff in assisting patients in maintaining their Medicaid coverage. Such tools may also have an indirect impact on evidence-based practice interventions, such as cancer screening. Trial registration This study was retrospectively registered on February 4th, 2015 with Clinicaltrials.gov (#NCT02355262). The registry record can be found at https://www.clinicaltrials.gov/ct2/show/NCT02355262 .

PURPOSE We undertook a study to identify conditions and operational changes linked to improvements in smoking and blood pressure (BP) outcomes in primary care. METHODS We purposively sampled and interviewed practice staff (eg, office managers, clinicians) from a subset of 104 practices participating in EvidenceNOW--a multisite cardiovascular disease prevention initiative. We calculated Clinical Quality Measure improvements, with targets of 10-point or greater absolute improvements in the proportion of patients with smoking screening and, if relevant, counseling and in the proportion of hypertensive patients with adequately controlled BP. We analyzed interview data to identify operational changes, transforming these into numeric data. We used Configurational Comparative Methods to assess the joint effects of multiple factors on outcomes. RESULTS In clinician-owned practices, implementing a workflow to routinely screen, counsel, and connect patients to smoking cessation resources, or implementing a documentation change or a referral to a resource alone led to an improvement of at least 10 points in the smoking outcome with a moderate level of facilitation support. These patterns did not manifest in health- or hospital system-owned practices or in Federally Qualified Health Centers, however. The BP outcome improved by at least 10 points among solo practices after medical assistants were trained to take an accurate BP. Among larger, clinician-owned practices, BP outcomes improved when practices implemented a second BP measurement when the first was elevated, and when staff learned where to document this information in the electronic health record. With 50 hours or more of facilitation, BP outcomes improved among larger and health- and hospital system-owned practices that implemented these operational changes. CONCLUSIONS There was no magic bullet for improving smoking or BP outcomes. Multiple combinations of operational changes led to improvements, but only in specific contexts of practice size and ownership, or dose of external facilitation. Key words: quality improvement; configurational comparative methods; mixed methods; cardiovascular prevention; smoking cessation; blood pressure management; organizational change; primary care; practice-based research, INTRODUCTION Cardiovascular disease (CVD) is the leading cause of death in the United States, with stroke or heart disease contributing to 1 out of every 3 deaths. (1) Primary risk [...]

Nontuberculous mycobacteria (NTM) infection is an illness of increasing incidence caused by environmental organisms and can lead to chronic pulmonary disease (1-5). The accuracy of International Classification of Diseases (ICD) [...]

Context: Neighborhood characteristics play an important role in health outcomes, especially for people who access care in community health centers (CHCs). Objective: This study evaluates rates of patient-level multimorbidity ([greater than or equal to] 2 chronic diseases) among CHC patients living in different areas of community-level social deprivation. Study Design and Analysis: Retrospective cohort study using Poisson mixed effects regression of the rates of morbidities by patient- and community- level characteristics including the social deprivation index (SDI). SDI is a composite measure of community-level income, education, employment, housing, household characteristics, transportation, and demographics. Morbidities included 22 chronic diseases recommended by the Department of Health and Human Services Multiple Chronic Conditions framework. Setting or Dataset: 1,412,038 patients from 9,362 Zip Code Tabulation Areas (ZCTAs) living in 27 states. Population Studied: Patients, [greater than or equal to] 45 years from the OCHIN and HCN practice-based research networks. Intervention/Instrument: SDI (0-100) was categorized into quartiles using the patient's ZCTA at last known address. Higher SDI quartiles denote more deprivation. Outcome Measures: Rates of morbidities at date of last known address. Results: Overall, patients averaged 2.50 morbidities (standard deviation [SD] = 2.20). Most patients were 45-54 years of age (38.2%), female (56.0%), non-Hispanic White (37.4%), spoke English (69.8%), continuously, Presenters Katherine Peak, Miguel Marino, PhD, Steele Valenzuela, MSc, Robert Voss, MS, Ana Quinones, [...]

Context: Latino adolescents face multilevel barriers (e.g. language, neighborhood deprivation) to preventive care, including recommended vaccinations. There is little research on the association between Latino adolescent-mother preferred language concordance and vaccination completion and if it varies by neighborhood deprivation. Objective: To better understand the social/family factors associated with Latino adolescent vaccination completion by studying the association of adolescent-mother language concordance and neighborhood social deprivation with adolescent vaccination completion. Study Design and Analysis: Retrospective observational study comparing human papilloma virus (HPV), meningococcal, and influenza vaccination rates in dyads from Latino families of three types (English-preferring Latino adolescents with English-preferring mothers, Spanish-preferring Latino adolescents with Spanish-preferring mothers, and English-preferring Latino adolescents with Spanish-preferring mothers) with those of English-preferring non-Hispanic white adolescent- mother pairs, adjusting for mother and adolescent demographics and healthcare utilization and stratifying by social deprivation of the family's neighborhood. Setting: Multistate electronic health record (EHR)-based dataset of patients from 389 community health centers (CHCs) across 17 states from the OCHIN Network. Population Studied: Latino and non-Latino adolescent-mother dyads. Outcome Measures: Adolescent HPV and meningococcal vaccinations and yearly influenza vaccination rate. Results: Our sample included 56,542 adolescent-mother dyads. Compared with Non-Hispanic white dyads, all three groups of Latino dyads had higher odds of adolescent HPV and meningococcal vaccines and higher rates of flu vaccines, and Latino dyads with Spanish-preferring mothers had higher vaccination odds/rates than did Latino dyads with English-preferring mothers. While there was some evidence of variation by neighborhood social deprivation in influenza vaccination rates, these effects were minor in comparison to differences by ethnicity and language concordance. Conclusions: In a multistate analysis of vaccinations among Latino and non-Latino adolescents, English-preferring adolescents with Spanish-preferring mothers had the highest completion rates and English-preferring non- Hispanic white dyads had the lowest. Further research can seek to understand why this language dyad may have an advantage in adolescent vaccination completion., Presenters Rachel Springer, MS, John Heintzman, MD, MPH, Jorge Kaufmann, MS, Sophia Giebultowicz, MA, Miguel Marino, PhD, Nathaniel Warren, MPH, Heather Angier, PhD, [...]

Electronic health record (EHR) tools such as documentation shortcuts and ordering templates are designed to enhance both the efficiency and quality of care delivery. Use of such tools vary widely in primary care. Understanding patterns of use as a means to identify priority areas for improvement are lacking. Objective: This study is designed to identify and understand patterns of EHR efficiency use among primary care clinicians as a means to inform training support needs. Study Design: Retrospective observational study. Setting or Dataset: 340 Community Health Centers (CHCs) across 48 US states from the OCHIN Network. Population Studied: The OCHIN's network and 2033 primary care clinicians engaged in patient care at least 2 days a week during DEC 2019-FEB 2020. Methods: Six EHR efficiency indicators were drawn from the Epic EHR Signal efficiency indicators which are automatically generated monthly for clinicians. Indicators include: use of quick actions, preference lists, level of service and diagnosis speed buttons and chart search functions and notes written with smart tools. A weighted score of these indicators represented overall EHR proficiency with a possible range of 0- 10 with higher scores suggesting higher efficiency. Latent profile analysis (LPA) was used to identify clusters of clinicians defined by distinct patterns of efficiency indicators. Results: The median EHR proficiency score was 4 and ranged from 0 to 9.5. The 9 cluster LPA solution the best overall fit. Clusters represented different patterns with notable strengths and deficiencies in EHR use efficiency. Cluster 2 was large (n=518) and characterized by being low on all indicators except for chart search. In contrast, cluster 9 was very small (n=12) and characterized by high scores for 4/6 indicators and low on quick actions. Conclusions: Substantial variation in EHR use efficiency among primary care clinicians was observed and can be represented by nine different patterns of indicators. These patterns show strengths and deficiencies in EHR use efficiency and could guide a tailored training approach to improve EHR efficiency., Presenters Jeremy Erroba, Miguel Marino, PhD, Rachel Gold, PhD, MPH, Rachel Springer, MS, Jennifer DeVoe, MD, DrPH, FAAFP, DPhil, Susan Flocke, PhD, David Boston, MD, [...]

Context: Obesity affects over 40% of the US population and is linked to multiple preventable health conditions which can cause premature morbidity and mortality. Weight loss of at least 5% in patients with obesity reduces their risk of comorbid conditions and leads to improvement in some conditions, such as diabetes. Patients with obesity from underserved populations are less likely to access primary and preventive care services. The Affordable Care Act (ACA) improved access to care, which may in turn improve access to obesity prevention and treatment and assist with weight loss. Objective: Assess whether the proportion of patients with a weight loss [greater than or equal to] 5% was higher in states that expanded Medicaid relative to non-expansion states among patients with obesity receiving care in community health centers (CHCs) which provide health care to underserved patients. Study Design: Retrospective observational cohort study. Setting: Electronic health record data from the ADVANCE (Advancing Data Value Across a National Community Health Center) clinical research network, during years 2012-2017. Population Studied: Patients from 346 CHCs age 19-64 with a body mass index of [greater than or equal to] 30 kg/m2 during the pre-ACA period (n=34,027). Outcome measures: Proportion of patients with weight loss >5% (WL5+) from pre- to post-ACA. Medicaid expansion status (expansion vs. non- expansion states) stratified by pattern of insurance (uninsured, continuously insured, newly insured, discontinuously insured) and race and ethnicity. Results: The proportion of patients with WL5+ for newly insured patients was greater in expansion (26%) than non-expansion states (20%) ([chi square] =9.75, p=0.002). Among newly insured patients, Hispanic (22%) and Black (29%) patients residing in expansion states, had larger proportion of patients with WL5+ than those in non-expansion states (20% and 18%, respectively). No differences were observed among non-Hispanic White patients (expansion 28% vs non-expansion 27%). Conclusions: The findings suggest greater improvement in weight management among patients residing in expansion states than those in non-expansion states, especially among racial and ethnic minorities receiving care in CHCs., Presenters Rebecca Rdesinski, MPH, MSW, Irina Chamine, PhD, Steele Valenzuela, MSc, Miguel Marino, PhD, Teresa Schmidt, PhD, Annie Larson, PhD, MPH, Nathalie Huguet, PhD, Heather Angier, PhD, [...]

Context: Acute complications are responsible for the majority of morbidity and mortality of patients with diabetes. Health insurance increases access to needed healthcare and receipt of diabetes-related preventive care. The Affordable Care Act (ACA) Medicaid eligibility provision was enacted in 2014 with the goal of expanding coverage to all US citizens and legal residents. The ACA led to improvement in healthcare access and health outcomes among patients with diabetes. Objective: To understand whether patients with diabetes in states that expanded Medicaid had greater reductions in the rate of acute complications post-ACA than those in states that did not expand Medicaid. Study Design: Retrospective observational cohort study. Setting or Dataset: Electronic health record data: 274 community health centers from the Accelerating Data Value Across a National Community Health Center Network clinical research network. Population Studied: Non-pregnant adults (n=5,176) aged 19-64 without Medicare coverage history, newly diagnosed with diabetes in 2013 with [greater than or equal to] 1 visit in each of the following periods: 2013, 2014-2016, 2017-2019. Outcome Measures: Rates of acute complications identified using ICD-9/10-CM codes and counted distinctly if the interval between each diagnosis was at least 10 days. Patients' annual acute complication rates were compared using a covariate-adjusted GEE Poisson model clustering on patients assuming an exchangeable working correlation. Outcome trends over time between expansion and non-expansion states were tested using interaction terms for time and expansion status. Results: From 2013 through 2019, annual acute complication rates declined overall for patients in both expansion (2013: 0.35; 2019: 0.18) and non- expansion (2013: 0.13; 2019: 0.10) states, with higher observed rates of acute complications in expansion (compared to non-expansion) states throughout the study period. Trends in acute complication rates were not parallel over time between expansion and non-expansion states (p, Presenters Nathalie Huguet, PhD, Dang Dinh, MSc, Hojun Hwang, MS, Miguel Marino, PhD, Heather Angier, PhD, MPH, Annie Larson, PhD, MPH, Irina Chamine, PhD, Jennifer DeVoe, MD, DrPH, FAAFP, DPhil, [...]