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Introduction National reports suggest that Hispanic patients may underutilize influenza and pneumococcal vaccination, although studies sometimes conflict on this point. A clearer picture of adult immunization utilization in older Hispanic patients is necessary to ensure equity in adult vaccinations. Methods Using electronic health records from 648 community health centers (CHCs) across 21 states, we compared English-preferring Hispanic patients, Spanish-preferring Hispanic patients, and Non-Hispanic White (NHW) adults aged ≥50 years across five outcomes between 2012-2017: (1) Odds of ever receiving pneumococcal vaccination after age 65, (2) Odds of ever receiving ≥2 pneumococcal vaccinations for those ≥65, (3) odds of vaccination between the ages of 50 and 64 for those with diabetes or heart disease, (4) odds of influenza vaccine, and (5) annual rate of influenza vaccination. Results Of our total study sample (N = 143,869), 85,562 were age 50-64 during the entire study period, and 65,977 were ≥65 at some point during the study period. In patients aged 50-64, Spanish-preferring Hispanic patients were more likely to have ever had an influenza vaccination (covariate-adjusted odds ratio [aOR] = 1.33, 95% CI = 1.29-1.37), had higher rates of annual influenza vaccination (covariate-adjusted rate ratio [aRR] = 1.41, 95% CI = 1.38-1.44), and higher odds of pneumococcal vaccination (aOR = 1.87, 95% CI = 1.76-1.98) than NHW patients. These findings were similar in Spanish-preferring Hispanic patients ≥65. English-preferring Hispanics ≥65 were less likely than NHW patients to ever have an influenza vaccination (aOR = 0.91, 95% CI = 0.85-0.98) and to have ever received at least one (aOR = 0.92, 95% CI = 0.86-0.99) or two (aOR = 0.86, 95% CI = 0.77-0.95) pneumococcal vaccine doses. Conclusions In a multistate CHC network, Spanish-preferring Hispanic patients were more likely to receive influenza and pneumococcal vaccinations than NHW patients; older English-preferring Hispanic patients were often less likely than NHW patients to receive these vaccinations. In vaccine initiatives, English-preferring Hispanic patients may be at higher risk of vaccination inequity.

Purpose Adequate access to and utilization of preventive services are vital among cancer survivors. This study examined preventive service utilization of cancer survivors compared to matched patients with no history of cancer among patients seeking care at community health centers (CHCs). Methods We utilized electronic health record data from the OCHIN network between 2014 and 2017. Cancer survivors (N = 20,538) ages ≥ 18 years were propensity score matched to three individuals with no history of cancer (N = 61,617) by age, sex, region, urban/rural, ethnicity, race, BMI, and Charlson Comorbidity Index. Preventive screenings included cancer, mental health and substance abuse, cardiovascular, and infectious disease screenings, and vaccinations. Patient-level preventive service indices were calculated for each screening as the total person-time covered divided by the total person-time eligible. Preventive service rate ratios comparing cancer survivors to patients with no history of cancer were estimated using negative binomial regression. Results Cancer survivors had higher overall preventive service utilization (incidence rate ratio = 1.11, 95% confidence interval = 1.09–1.13) and higher rates of cancer screenings (IRR = 1.16, 95% CI = 1.12–1.20). There was no difference between the two groups in mental health screenings. Conclusions Cancer survivors were more likely to be up-to-date with preventive care than their matched counterparts. However, mental health and substance abuse screenings were low in both groups, despite reports of increased mental health conditions among cancer survivors. Implications for Cancer Survivors With the growing number of cancer survivors in the USA, efforts are needed to ensure their access to and utilization of preventive services, especially related to behavioral and mental healthcare.

Eliminating health and health care inequities is a longstanding goal of multiple United States health agencies, but overwhelming scientific evidence suggests that health and health care inequities persist in the United States, despite decades of research and initiatives to alleviate them. Because of its comprehensiveness, studying health inequities in the context of primary care allows for the use of multiple paradigms and methodologic approaches to understanding almost any state of health, disease, social challenge, or societal circumstance a patient or group of patients might face. We argue in this special communication that the many features/advantages of primary care research have valuable contributions to make in reducing health inequity, and scientists, journals, and funders should increase the incorporation of primary care approaches and findings into their portfolios to better understand and end health inequity.

Although much attention has been focused on individual-level drivers of burnout in primary care settings, examining the structural and cultural factors of practice environments with no burnout could identify solutions. In this cross-sectional analysis of survey data from 715 small-to-medium-size primary care practices in the United States participating in the Agency for Healthcare Research and Quality's EvidenceNOW initiative, we found that zero-burnout practices had higher levels of psychological safety and adaptive reserve, a measure of practice capacity for learning and development. Compared with high-burnout practices, zero-burnout practices also reported using more quality improvement strategies, more commonly were solo and clinician owned, and less commonly had participated in accountable care organizations or other demonstration projects. Efforts to prevent burnout in primary care may benefit from focusing on enhancing organization and practice culture, including promoting leadership development and fostering practice agency.

Nontuberculous mycobacteria infection is increasing in incidence and can lead to chronic, debilitating pulmonary disease. We investigated the accuracy of diagnosis code-based nontuberculous mycobacteria lung disease claims among Medicare beneficiaries in the United States. We observed that these claims have moderate validity, but given their low sensitivity, incidence might be underestimated.

Background Many cancer survivors receive primary care in community health centers (CHCs). Cancer history is an important factor to consider in the provision of primary care, yet little is known about the completeness or accuracy of cancer history data contained in CHC electronic health records (EHRs). Methods We probabilistically linked EHR data from more than1.5 million adult CHC patients to state cancer registries in California, Oregon, and Washington and estimated measures of agreement (eg, kappa, sensitivity, specificity). We compared demographic and clinical characteristics of cancer patients as estimated by each data source, evaluating distributional differences with absolute standardized mean differences. Results A total 74 707 cancer patients were identified between the 2 sources (EHR only, n = 22 730; registry only, n = 23 616; both, n = 28 361). Nearly one-half of cancer patients identified in registries were missing cancer documentation in the EHR. Overall agreement of cancer ascertainment in the EHR vs cancer registries (gold standard) was moderate (kappa = 0.535). Cancer site–specific agreement ranged from substantial (eg, prostate and female breast; kappa > 0.60) to fair (melanoma and cervix; kappa < 0.40). Comparing population characteristics of cancer patients as ascertained from each data source, groups were similar for sex, age, and federal poverty level, but EHR-recorded cases showed greater medical complexity than those ascertained from cancer registries. Conclusions Agreement between EHR and cancer registry data was moderate and varied by cancer site. These findings suggest the need for strategies to improve capture of cancer history information in CHC EHRs to ensure adequate delivery of care and optimal health outcomes for cancer survivors.

Objective To test the feasibility, acceptability, and potential effectiveness of engineering and behavioral interventions to improve the sleep, health, and well-being of team truck drivers (dyads) who sleep in moving semi-trucks. Methods Drivers (n = 16) were exposed to Condition A: a new innerspring mattress, and Condition B: a novel therapeutic mattress. A subsample of drivers (n = 8) were also exposed to Condition C: use of their preferred mattress (all chose to keep B), switching to an active suspension driver's seat, and completing a behavioral sleep-health program. Primary outcomes were sleep duration, sleep quality, and fatigue. Behavioral program targets included physical activity and sleep hygiene. Results Self-reported sleep and fatigue improved with mattress A, and improved further with mattress B which altered vibration exposures and was universally preferred and kept by all drivers. Condition C improved additional targets and produced larger effect sizes for most outcomes. Conclusions Results support these interventions as promising for advancing team truck drivers' sleep, health, and well-being.

INTRODUCTION: Prior research has documented disparities in asthma outcomes between Latino children and non-Hispanic whites, but little research directly examines the care provided to Latino children over time in clinical settings. METHODS: We utilized an electronic health record-based dataset to study basic asthma care utilization (timely diagnosis documentation and medication prescription) between Latino (Spanish preferring and English preferring) and Non-Hispanic white children over a 13-year study period. RESULTS: In our study population (n = 37,614), Latino children were more likely to have Medicaid, be low income, and be obese than non-Hispanic white children. Latinos (Spanish preferring and English preferring) had lower odds than non-Hispanic whites of having their asthma recorded on their problem list on the first day the diagnosis was noted (odds ratio [OR] = 0.83; 95% CI, 0.77 to 0.89 Spanish preferring; OR = 0.93; 95% CI, 0.87 to 0.99 English preferring). Spanish-preferring Latinos had higher odds of ever receiving a prescription for albuterol (OR = 1.96; 95% CI, 1.52 to 2.52), inhaled corticosteroids (OR = 1.45; 95% CI, 1.01 to 2.09), or oral steroids (OR = 1.48; 95% CI, 1.07 to 2.04) than non-Hispanic whites. Among those with any prescription, Spanish-preferring Latinos had higher rates of albuterol prescriptions compared with non-Hispanic whites (adjusted rate ratio [aRR] = 1.0; 95% CI, 1.01 to 1.13). CONCLUSIONS: In a multi-state network of clinics, Latino children were less likely to have their asthma entered on their problem list the first day it was noted than non-Hispanic white children, but otherwise did not receive inferior care to non-Hispanic white children in other measures. Further research can examine other parts of the asthma care continuum to better understand asthma disparities. (J Am Board Fam Med 2020;33:707–715.)

The patient-centered medical home model aspires to fundamentally restructure care processes, but a volume-based payment system may hinder such transformations. In 2013 Oregon’s Medicaid program cha...

BACKGROUND: Electronic health records (EHRs) provide rich data on many domains not routinely available in other data, as such, they are a promising source to study changes in health outcomes using longitudinal study designs (eg, cohort studies, natural experiments, etc.). Yet, patient attrition rates in these data are unknown. OBJECTIVE: The objective of this study was to estimate overall and among adults with diabetes or hypertension: (1) patient attrition over a 3-year period at community health centers; and (2) the likelihood that patients with Medicaid permanently switched their source of primary care. RESEARCH DESIGN: A retrospective cohort study of 2012–2017 data from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Data Research Network of community health centers were used to assess EHR data attrition. Oregon Medicaid enrollment and claims data were used to estimate the likelihood of changing the source of primary care. SUBJECTS: A total of 827,657 patients aged 19–64 with ≥ 1 ambulatory visit from 76 community health center systems across 20 states. In all, 232,891 Oregon Medicaid enrollees (aged 19–64) with a gap of ≥ 6 months following a claim for a visit billed to a primary care source. MEASURES: Percentage of patients not returning within 3 years of their qualifying visit (attrition). The probability that a patient with Medicaid permanently changed their primary care source. RESULTS: Attrition over the 3 years averaged 33.5%; attrition rates were lower (< 25%) among patients with diabetes and/or hypertension. Among Medicaid enrollees, the percentage of provider change after a 6-month gap between visits was 12% for community health center patients compared with 39% for single-provider practice patients. Over 3 years, the likelihood of a patient changing to a new provider increased with length of time since their last visit but remained lowest among community health center patients. CONCLUSION: This study demonstrates the use of the EHR dataset is a reliable source of data to support longitudinal studies while highlighting variability in attrition by primary care source and chronic conditions.

Data from a large network of community health centers connected via a single electronic health record (EHR) system examined associations between psychiatric disorders and documentation of a cannabis-related disorder among patients with reported cannabis use. Participants were adults who had at least one ambulatory visit at a clinic in three states between 1/1/2012 and 12/31/2016 and had either 1) a documented cannabis-related disorder indicated by an ICD-9/10 code on the problem list or encounter list or 2) documentation of cannabis use in the EHR social history section. Clinics included 101,405 patients with either cannabis use recorded in the social history of the EHR (n = 71,660) or a cannabis-related disorder documented in the encounter or problem list (n = 29,745). GEE logistic regression modelling estimated adjusted odds ratios (aOR). Odds of patients having cannabis-related disorder recorded on the encounter or problem list were higher for individuals with depression (aOR = 1.08, 95% CI: 1.04–1.13), anxiety (aOR = 1.16, CI: 1.11–1.21) and bipolar disorder (aOR = 1.16, CI: 1.10–1.23). A diagnosis of schizophrenia increased the odds of a cannabis-related disorder by 62% (aOR = 1.62, CI: 1.48 – 1.78). Primary care providers should routinely screen for and document cannabis-related disorders and psychiatric disorders.

OBJECTIVE To compare trends in Medicaid expenditures among adults with diabetes who were newly eligible due to the Affordable Care Act (ACA) Medicaid expansion to trends among those previously eligible. RESEARCH DESIGN AND METHODS Using Oregon Medicaid administrative data from 1 January 2014 to 30 September 2016, a retrospective cohort study was conducted with propensity score–matched Medicaid eligibility groups (newly and previously eligible). Outcome measures included total per-member per-month (PMPM) Medicaid expenditures and PMPM expenditures in the following 12 categories: inpatient visits, emergency department visits, primary care physician visits, specialist visits, prescription drugs, transportation services, tests, imaging and echography, procedures, durable medical equipment, evaluation and management, and other or unknown services. RESULTS Total PMPM Medicaid expenditures for newly eligible enrollees with diabetes were initially considerably lower compared with PMPM expenditures for matched previously eligible enrollees during the first postexpansion quarter (mean values $561 vs. $793 PMPM, P = 0.018). Within the first three postexpansion quarters, PMPM expenditures of the newly eligible increased to a similar but slightly lower level. Afterward, PMPM expenditures of both groups continued to increase steadily. Most of the overall PMPM expenditure increase among the newly eligible was due to rapidly increasing prescription drug expenditures. CONCLUSIONS Newly eligible Medicaid enrollees with diabetes had slightly lower PMPM expenditures than previously eligible Medicaid enrollees. The increase in PMPM prescription drug expenditures suggests greater access to treatment over time.

Introduction This paper describes the adoption of an electronic health record-based social determinants of health screening tool in a national network of more than 100 community health centers. Methods In 2016, a screening tool with questions on 7 social determinants of health domains was developed and deployed in the electronic health record, with technical instructions on how to use the tool and suggested clinical workflows. To understand adoption patterns, the study team extracted electronic health record data for any patient with a community health center visit between June 2016 and May 2018. Patients were considered “screened” if a response to at least 1 social determinants of health domain was documented in the electronic health record tool. Results A total of 31,549 patients (2% of those with a visit in the study period) had a documented social determinants of health screening. The number of screenings increased over time, time; 71 community health centers (67%) conducted at least one screening, but almost 50% took place in only 4 community health centers. Over half (55%) of screenings only included responses for only 1 domain. Screening was most likely to occur during an office visit with an established patient and documented in the electronic health record by a medical assistant. Conclusions Screening documentation patterns varied widely across the network of community health centers. Despite the growing national emphasis on the importance of screening for social determinants of health, these findings suggest that simply activating electronic health record tools for social determinants of health screening does not lead to widespread adoption. Potential barriers to screening adoption and implementation should be explored further. Supplement information This article is part of a supplement entitled Identifying and Intervening on Social Needs in Clinical Settings: Evidence and Evidence Gaps, which is sponsored by the Agency for Healthcare Research and Quality of the U.S. Department of Health and Human Services, Kaiser Permanente, and the Robert Wood Johnson Foundation.

Introduction Little is known about what clinic-level factors differentiate community health centers that achieve high performance on cancer-preventive care metrics. This study aims to describe the longitudinal trends in the delivery of 3 cancer-preventive care metrics (cervical and colorectal cancer screenings and tobacco-cessation intervention) and define and compare community health centers with high cancer-preventive care performance with those with low cancer-preventive care performance. Methods This observational study used 2012–2019 community health center data (N=933) from the Uniform Data System. High/low performance was based on Healthy People 2020 targets and sample distribution. For each cancer-preventive care metric, the percentage of community health centers that met high (≥70.5% at cervical or colorectal cancer screening or >80% tobacco-cessation intervention) and low thresholds at 1, 2, and all the 3 screenings was estimated. Multivariable generalized estimating equations logistic regression modeling was used to assess the community health center‒level factors associated with screening performance. Results The community health centers’ performance for tobacco-cessation intervention remained at ≥80%, with a small increase over time. Performance for cervical cancer screening remained unchanged with about 50% of patients screened. Colorectal cancer screening performance increased from around 30% in 2012 to 44% in 2019. Very few community health centers reached high performance (3%) in all the 3 indicators, and 13% of community health centers were high in any 2 of the outcomes in 2019. Higher patient volume, a greater proportion of Hispanic patients, fewer uninsured patients, and community health centers located in the Northeast region were associated with high performance in 2019. Conclusions Very few community health centers meet all Healthy People 2020 goals in cancer screenings and may struggle to achieve the 2030 goals. Very few indicators differentiated high performers from low performers.

RESEARCH OBJECTIVE: Cardiovascular disease (CVD) such as heart failure and stroke has been the top cause of death for over 90 years. The beneficial effects of four simple treatment options ‐‐ aspirin prescription, blood pressure control, cholesterol management and smoking screening and cessation counseling (ABCS) ‐‐ in reducing mortality are well established. Yet, delivering the ABCS at optimal levels continues to be challenging for primary care practices, where the majority of patients receive care. In 2015, the Agency for Healthcare Research and Quality (AHRQ) launched EvidenceNOW: Advancing Heart Health in Primary Care, a national, 110 million dollar initiative focused on providing external support interventions (e.g., practice facilitation or health information technology support) to 1500 small‐to‐medium sized primary care practices with over eight million patients. The research objective of this study was to estimate EvidenceNOW‐related reductions in the risk of experiencing an adverse CVD event. STUDY DESIGN: Study Design: We developed a new methodology to calculate CVD risk using (i) ABCS levels of EvidenceNOW practices; (ii) patient‐level information from the National Health and Nutrition Examination Survey (NHANES); and (iii) information about CVD risk over a 10‐year period developed by the American College of Cardiology and the American Heart Association. We estimated 10‐year CVD risk at baseline, just before EvidenceNOW started, and reductions to risk due to EvidenceNOW‐related improvements in the ABCS. POPULATION STUDIED: Primary care practices participating in EvidenceNOW and NHANES study participants. PRINCIPAL FINDINGS: The average 10‐year CVD risk at baseline was estimated to be 10.3 percent among patients of practices participating in the initiative. Improvements in the ABCS due to EvidenceNow reduced this risk by about 0.1 percentage points, or approximately 1.0 percent relative to baseline. Two patient populations had the biggest CVD risk reduction: those with hypertension and those with multiple comorbidities who have a high CVD risk. According to these estimates, EvidenceNOW prevented about 4000 CVD events at a cost of approximately $29,000 per event. CONCLUSIONS: EvidenceNOW successfully reduced CVD events among patients of practices participating in the initiative, although overall reductions were small. Risk reductions were stronger for high‐risk patients, such as those with multiple comorbidities. IMPLICATIONS FOR POLICY OR PRACTICE: Preventive care efforts to reduce cardiovascular disease in primary care practices are cost effective even for a large patient population with moderate CVD risk and therefore should be implemented more widely. Targeting specific patient population can be a valuable policy to improve the health of high‐risk populations. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

ObjectiveSocial deprivation is associated with worse asthma outcomes. The Social Deprivation Index is a composite measure of social determinants of health used to identify neighbourhood-level disadvantage in healthcare. Our objective was to determine if higher neighbourhood-level social deprivation is associated with documented asthma care quality measures among children treated at community health centres (CHCs).Methods (setting, participants, outcome measures)We used data from CHCs in 15 states in the Accelerating Data Value Across a National Community Health Center Network (ADVANCE). The sample included 34 266 children with asthma from 2008 to 2017, aged 3–17 living in neighbourhoods with differing levels of social deprivation measured using quartiles of the Social Deprivation Index score. We conducted logistic regression to examine the odds of problem list documentation of asthma and asthma severity, and negative binomial regression for rates of albuterol, inhaled steroid and oral steroid prescription adjusted for patient-level covariates.ResultsChildren from the most deprived neighbourhoods had increased rates of albuterol (rate ratio (RR)=1.22, 95% CI 1.13 to 1.32) compared with those in the least deprived neighbourhoods, while the point estimate for inhaled steroids was higher, but fell just short of significance at the alpha=0.05 level (RR=1.16, 95% CI 0.99 to 1.34). We did not observe community-level differences in problem list documentation of asthma or asthma severity.ConclusionsHigher neighbourhood-level social deprivation was associated with more albuterol and inhaled steroid prescriptions among children with asthma, while problem list documentation of asthma and asthma severity varied little across neighbourhoods with differing deprivation scores. While the homogeneity of the CHC safety net setting studied may mitigate variation in diagnosis and documentation of asthma, enhanced clinician awareness of differences in community risk could help target paediatric patients at risk of lower quality asthma care.

Background/aims Evidence suggests that Medicaid beneficiaries in the United States are prescribed opioids more frequently than are people who are privately insured, but little is known about opioid prescribing patterns among Medicaid enrollees who gained coverage via the Affordable Care Act Medicaid expansions. This study compared the prevalence of receipt of opioid prescriptions and opioid use disorder (OUD), along with time from OUD diagnosis to medication-assisted treatment (MAT) receipt between Oregon residents who had been continuously insured by Medicaid, were newly insured after Medicaid expansion in 2014 or returned to Medicaid coverage after expansion. Design Cross-sectional study using inverse-propensity weights to adjust for differences among insurance groups. Setting Oregon. Participants A total of 225 295 Oregon Medicaid adult beneficiaries insured during 2014-15 and either: (1) newly enrolled, (2) returning in 2014 after a > 12-month gap or (3) continuously insured between 2013 and 2015. We excluded patients in hospice care or with cancer diagnoses. Measurements Any opioid-dispensed, chronic (> 90-days) and high-dose (> 90 daily morphine milligram equivalence) opioid use, documented OUD diagnosis and MAT receipt. Findings Compared with the continuously insured, newly and returning insured enrollees were less likely to be dispensed opioids [newly: 42.3%, 95% confidence interval (CI) = 42.0-42.7%; returning: 49.3%, 95% CI = 48.8-49.7%; continuously: 52.5%, 95% CI = 52.0-53.0%], use opioids chronically (newly: 12.8%, 95% CI = 12.4-13.1%; returning: 11.9%, 95% CI = 11.5-12.3%, continuously: 15.8%, 95% CI = 15.4-16.2%), have OUD diagnoses (newly: 3.6%, 95% CI = 3.4-3.7%; returning: 3.9%, 95% CI = 3.8-4.1%, continuously: 4.7%, 95% CI = 4.5-4.9%) and receive MAT after OUD diagnosis [hazard ratio newly: 0.57, 95% CI = 0.53-0.61; hazard ratio returning: 0.60, 95% CI = 0.56-0.65 (ref: continuously)]. Conclusions Residents of Oregon, United States who enrolled or re-enrolled in Medicaid health insurance after expansion of coverage in 2014 as a result of the Affordable Care Act were less likely than those already covered to receive opioids, use them chronically or receive medication-assisted treatment for opioid use disorder.

Background: In 2013, Oregon initiated an Alternative Payment Methodology (APM) Experiment for select health centers, initiating capitated payments for patients with Medicaid. Objective: To use electronic health record data to evaluate the impact of APM on visit and scheduling metrics in the first wave of experiment clinics. Research Design: Retrospective clinic cohort. Difference-in-differences analysis using generalized linear mixed modeling across 2 time thresholds: the initiation of APM and the start of the Affordable Care Act Medicaid expansion. Subjects: Eight primary clinics enrolled in APM on March 1, 2013 and 10 comparison clinics not enrolled in APM during the study period (July 1, 2012 to February 28, 2015). Measures: Independent variable: intervention status of the clinics (APM or comparison). Dependent variables: total patient encounters, total alternative encounters, new patient visits, provider appointment availability, number of appointment overbooks and no-shows/late cancellations. Results: Comparison clinics had smaller patient panels and more advanced practice providers than APM clinics, but both had similar proportions of Hispanic, Medicaid, and uninsured patients. APM clinics had a 20% greater increase in same-day openings than non-APM clinics across the APM implementation (Relative Ratio, 1.20; 95% CI, 1.02 to 1.42). Otherwise, there were minimal differences in APM clinics and control clinics in wait times, visit rates, patient no-shows, and overbooks. Conclusions: APM clinics experienced a greater increase in same-day visits over the course of this experiment, but did not significantly differ from comparators in other visit metrics. Further research into other impacts of this experiment are necessary and ongoing.

PURPOSE: The Patient Protection and Affordable Care Act (ACA) has improved access to health insurance, yet millions remain uninsured. Many patients who remain uninsured access care at community health centers (CHCs); however, little is known about their health conditions and health care use. We assessed ambulatory care use and diagnosed health conditions among a cohort of CHC patients uninsured before enactment of the ACA (pre-ACA: January 1, 2012 to December 31, 2013) and followed them after enactment (post-ACA: January 1, 2014 to December 31, 2015). METHODS: This retrospective cohort analysis used electronic health record data from CHCs in 11 US states that expanded Medicaid eligibility. We assessed ambulatory care visits and documented health conditions among a cohort of 138,246 patients (aged 19 to 64 years) who were uninsured pre-ACA and either remained uninsured, gained Medicaid, gained other health insurance, or did not have a visit post-ACA. We estimated adjusted predicted probabilities of ambulatory care use using an ordinal logistic mixed-effects regression model. RESULTS: Post-ACA, 20.9% of patients remained uninsured, 15.0% gained Medicaid, 12.4% gained other insurance, and 51.7% did not have a visit. The majority of patients had ≥1 diagnosed health condition. The adjusted proportion of patients with high use (≥6 visits over 2 years) increased from pre-ACA to post-ACA among those who gained Medicaid (pre-ACA: 23%, post-ACA: 34%, P

Introduction Community health centers (CHCs) care for vulnerable patients who use tobacco at higher than national rates. States that expanded Medicaid eligibility under the Affordable Care Act (ACA) provided insurance coverage to tobacco users not previously Medicaid-eligible, thereby potentially increasing their odds of receiving cessation assistance. We examined if tobacco users in Medicaid expansion states had increased quit rates, cessation medications ordered, and greater health care utilization compared to patients in non-expansion states. Methods Using electronic health record (EHR) data from 219 CHCs in 10 states that expanded Medicaid as of January 1, 2014, we identified patients aged 19–64 with tobacco use status documented in the EHR within 6 months prior to ACA Medicaid expansion and ≥1 visit with tobacco use status assessed within 24 months post-expansion (January 1, 2014 to December 31, 2015). We propensity score matched these patients to tobacco users from 108 CHCs in six non-expansion states (n = 27 670 matched pairs; 55 340 patients). Using a retrospective observational cohort study design, we compared odds of having a quit status, cessation medication ordered, and ≥6 visits within the post-expansion period among patients in expansion versus non-expansion states. Results Patients in expansion states had increased adjusted odds of quitting (adjusted odds ratio [aOR] = 1.35, 95% confidence interval [CI]: 1.28–1.43), having a medication ordered (aOR = 1.53, 95% CI: 1.44–1.62), and having ≥6 follow-up visits (aOR = 1.34, 95% CI: 1.28–1.41) compared to patients from non-expansion states. Conclusions Increased access to insurance via the ACA Medicaid expansion likely led to increased quit rates within this vulnerable population. Implications CHCs care for vulnerable patients at higher risk of tobacco use than the general population. Medicaid expansion via the ACA provided insurance coverage to a large number of tobacco users not previously Medicaid-eligible. We found that expanded insurance coverage was associated with increased cessation assistance and higher odds of tobacco cessation. Continued provision of insurance coverage could lead to increased quit rates among high-risk populations, resulting in improvements in population health outcomes and reduced total health care costs.

This quasi-experimental study evaluated racial/ethnic disparities in health insurance and differences in visits post- versus pre- Affordable Care Act (ACA) Medicaid expansion. We utilized electronic health record data from a population of patients with diabetes aged 19–64 seen in community health centers (CHCs). We used generalized estimating equation Poisson models to estimate incidence rates of insurance type and visits post- (1/1/2014– 12/31/2015) versus pre- (1/1/13–12/31/13) ACA, stratified by racial/ethnic group. We assessed difference-in-differences (DD) and difference-in-difference-in-differences (DDD). The relative disparity in uninsured visits increased between Hispanic and non-Hispanic Whites in expansion states (DD=1.93; 95% CI=1.41, 2.64); the magnitude was greater in expansion compared with non-expansion states (DDD=1.84, 95% CI=1.32, 2.56), yet uninsured rates were lower in expansion compared with non-expansion states. We found few changes in visits. Results suggest that the ACA Medicaid expansion increased health insurance coverage and that while some racial/ethnic disparities were improved, some remained.

Background : Foreign-born Latino children in the United States (US) have poor asthma outcomes, but the role of routine care utilization in these outcomes is unclear. Our objective was to compare select ambulatory care utilization measures for asthma between foreign-born Latino, US-born Latino, and non-Hispanic white children. Methods : Using a multistate network of clinics with a linked electronic health record, we compared the International Classification of Disease (ICD)-coded asthma diagnosis among those with respiratory symptoms, EHR documentation of diagnosis, prescriptions, and influenza vaccination of foreign-born and US-born Latino children, and non-Hispanic white children over a 10+ year study period. We also examined outcomes by country of birth in children from Mexico, Cuba, and Guatemala. Results : Among our study population (n=155,902), 134,570 were non-Hispanic white, 19,143 were US-born Latino, and 2,189 were foreign-born Latino. Among those with suspicious respiratory symptoms, there was no difference between these groups in the predicted probability of an ICD-coded asthma diagnosis. US-born Latino children with asthma were less likely to have asthma documented on their problem list, more likely to have an albuterol prescription, and less likely to have an inhaled steroid prescribed. All Latino children had higher rates of influenza vaccination than non-Hispanic white children. Conclusions : In a national network, there were few disparities between Latino (US and foreign-born) children and non-Hispanic white comparators in many common asthma care services, except some measures in US-born Latino children. Providers should understand that their US-born Latino children may be at elevated risk for not receiving adequate asthma care.

Introduction Colorectal cancer is the second leading cause of cancer deaths in Latinos in the U.S., but it is unclear, from previous research, whether Latinos have differing rates of colorectal cancer screening methods from those of non-Hispanic Whites. Methods This study used electronic health records from 686 community health centers across 21 states in the Accelerating Data Value Across a National Community Health Center of the National Patient-Centered Clinical Research Network. Records from English-preferring Latinos, Spanish-preferring Latinos, and non-Hispanic Whites aged 50-75 years were included. A total of 5 outcomes were compared between 2012 and 2017 to provide a comprehensive view of colorectal cancer screening: (1) any colorectal cancer screening, (2) stool-based screening, (3) annual rates of stool testing, (4) any referral for lower gastrointestinal endoscopy, and (5) endoscopy referral among patients with a positive stool-based screening. Results In this study (N=204,243), Spanish-preferring Latinos had higher odds of any colorectal cancer screening (OR=1.44, 95% CI=1.23, 1.68) and stool-based testing (OR=1.82, 95% CI=1.55, 2.13) than non-Hispanic Whites. English- and Spanish-preferring Latinos had lower odds of having ever had a referral for endoscopy in the study period than non-Hispanic Whites (English: OR=0.23, 95% CI=0.15, 0.34; Spanish: OR=0.55, 95% CI=0.40, 0.74), even with a positive stool-based screening (English: OR=0.14, 95% CI=0.06, 0.33; Spanish: OR=0.33, 95% CI=0.19, 0.57). Conclusions In a multistate network of community health centers, Latino patients aged >50 years were more likely to receive stool-based screening tests for colorectal cancer than non-Hispanic Whites but were less likely to receive endoscopy referrals than non-Hispanic Whites, even when experiencing a positive stool-based screening test. Initiatives to improve Latino colorectal cancer outcomes should encourage indicated referrals for lower gastrointestinal endoscopy.

Key Points Question Are changes in collection of race/ethnicity data in American Medical College Application System surveys in 2002 associated with temporal trends in applicants, matriculants, and graduates who self-reported as American Indian/Alaska Native (AIAN)? Findings This cohort study found that, after the change in data collection, the mean number of AIAN applicants increased by 78%; matriculants, 62%; and graduates, 94%. The numbers of AIAN applicants continued to increase at 10% per year following the change, but no significant change in trend was found for matriculants or graduates. Meaning These findings suggest that changing the method of race/ethnicity data collection captures more AIAN applicants, matriculants, and graduates, but yearly trends indicate few differences after the change in terms of AIAN graduates., Importance Accurate racial/ethnic identity measurement is needed to understand the effectiveness of outreach, recruitment, and programs to support American Indian and Alaska Native (AIAN) people becoming physicians. Objective To examine how changes in race/ethnicity data collection by the American Medical College Application System are associated with trends in applicants, matriculants, and graduates self-reporting as AIAN. Design, Setting, and Participants In this cohort study, interrupted time series regression was conducted using data from the American Medical College Application system identifying medical school applicants and graduates between January 1, 1996, and December 31, 2017, who identified as AIAN. The number of students identifying as AIAN was compared before and after the American Medical College Application System changed how it collected race/ethnicity data in 2002. Data analyses were conducted between December 2019 and May 2019. Exposures Applicants could select only 1 racial identity from 1996 to 2001 and could select more than 1 racial identity from 2002 to 2017. Main Outcomes and Measures Rates of AIAN groups before and after changing how race/ethnicity data were collected. Covariates were age, sex, and Medical College Admission Test scores. Results The total number of individuals identifying as AIAN in the study was 8361; the mean (SD) number of applicants per year was 380.0 (89.9) overall: 257.3 (39.6) in 1996 to 2001, with a mean (SD) age of 26.6 (5.5) years and 830 (54.0%) male individuals, and 426.1 (50.1) in 2002 to 2017, with a mean (SD) age of 25.5 (5.6) years and 3441 (50.5%) female individuals. Before the change, there was a decrease of 5% per year (relative rate [RR] of 0.95; 95% CI, 0.91-0.98; P, This cohort study uses interrupted time series regression to assess the association between changes in race/ethnicity data collection in the American Medical College Application System survey and trends in applicants, matriculants, and graduates self-reporting as American Indian and Alaska Native.

Background The Affordable Care Act (ACA) Medicaid expansion improved access to health insurance and health care services. This study assessed whether the rate of patients with undiagnosed hypertension and the rate of patients with hypertension without anti-hypertensive medication decreased post-ACA in community health center (CHC). Methods We analyzed electronic health record data from 2012 to 2017 for 126,699 CHC patients aged 19–64 years with ≥1 visit pre-ACA and ≥1 post-ACA in 14 Medicaid expansion states. We estimated the prevalence of patients with undiagnosed hypertension (high blood pressure reading without a diagnosis for ≥1 day) and the prevalence of patients with hypertension without anti-hypertensive medication by year and health insurance type (continuously uninsured, continuously insured, gained insurance, and discontinuously insured). We compared the time to diagnosis or to anti-hypertensive medication pre- vs. post-ACA. Results Overall, 37.3% of patients had undiagnosed hypertension and 27.0% of patients with diagnosed hypertension were without a prescribed anti-hypertensive medication for ≥1 day during the study period. The rate of undiagnosed hypertension decreased from 2012 through 2017. Those who gained insurance had the lowest rates of undiagnosed hypertension (2012: 14.8%; 2017: 6.1%). Patients with hypertension were also more likely to receive anti-hypertension medication during this period, especially uninsured patients who experienced the largest decline (from 47.0% to 8.1%). Post-ACA, among patients with undiagnosed hypertension, time to diagnosis was shorter for those who gained insurance than other insurance types. Conclusions Those who gained health insurance were appropriately diagnosed with hypertension faster and more frequently post-ACA than those with other insurance types. Clinical trials registration Trial Number NCT03545763.

INTRODUCTION: It is uncertain if disparities in asthma diagnosis between Latino and non-Hispanic white children stem from differences in diagnosis over time among children presenting with similar clinical scenarios suggestive of asthma. METHODS: We evaluated the odds of International Classification of Disease (ICD)-coded asthma diagnosis in Latino (English and Spanish preferring) and non-Hispanic white children, overall (N = 524,456) and among those presenting with possible asthma indicators (N = 85,516) over a 13-year period, using electronic health record data from a multi-state network of community health centers. RESULTS: Among those with possible asthma indicators, Spanish-preferring Latinos had lower adjusted odds of ICD-coded asthma diagnosis compared to non-Hispanic whites (OR = 0.87, 95%CI = 0.77-0.99); English-preferring Latinos did not differ from non-Hispanic whites. Differences in ICD-coded diagnosis between ethnicity/language groups varied by presenting symptom. CONCLUSIONS: Spanish-preferring Latino children may be less-likely to have ICD-coded asthma documented in the EHR when presenting with certain clinical indicators suggestive of asthma. Clinicians should be cognizant of the need for the follow-up of these indicators in Spanish-preferring Latino children.

Background: Short- and long-term effects of COVID-19 will likely be designated pre-existing conditions. We describe the prevalence of pre-existing conditions among community health center patients overall and those with COVID-19 by race/ethnicity. Materials and Methods: This cross-sectional study used electronic health record data from OCHIN, a network of 396 community health centers across 14 states. Results: Among all patients with COVID-19, 33% did not have a pre-existing condition before the pandemic. Up to half of COVID-19-positive non-Hispanic Asians (51%), Hispanic (36%), and non-Hispanic black (28%) patients did not have a pre-existing condition before the pandemic. Conclusions: The future of the Patient Protection and Affordable Care Act is uncertain, and the long-term health effects of COVID-19 are largely unknown; therefore, ensuring people with pre-existing conditions can acquire health insurance is essential to achieving health equity.

This study uses electronic health record data to describe primary care services offered by US community health centers in March through May 2020, including SARS-CoV-2 testing, well-child visits, HbA(1c) testing, and cancer screening.

BACKGROUND: Racial and ethnic minorities are disproportionately affected by diabetes and at greater risk of experiencing poor diabetes-related outcomes compared with non-Hispanic whites. The Affordable Care Act (ACA) was implemented to increase health insurance coverage and reduce health disparities. OBJECTIVE: Assess changes in diabetes-associated biomarkers [hemoglobin Alc (HbAlc) and low-density lipoprotein] 24 months pre-ACA to 24 months post-ACA Medicaid expansion by race/ethnicity and insurance group. RESEARCH DESIGN: Retrospective cohort study of community health center (CHC) patients. SUBJECTS: Patients aged 19–64 with diabetes living in 1 of 10 Medicaid expansion states with ≥ 1 CHC visit and ≥ 1 HbAlc measurement in both the pre-ACA and the post-ACA time periods (N = 13,342). METHODS: Linear mixed effects and Cox regression modeled outcome measures. RESULTS: Overall, 33.5% of patients were non-Hispanic white, 51.2% Hispanic, and 15.3% non-Hispanic black. Newly insured Hispanics and non-Hispanic whites post-ACA exhibited modest reductions in HbAlc levels, similar benefit was not observed among non-Hispanic black patients. The largest reduction was among newly insured Hispanics versus newly insured non-Hispanic whites (P < 0.05). For the subset of patients who had uncontrolled HbAlc (HbAlc ≥ 9%) within 3 months of the ACA Medicaid expansion, non-Hispanic black patients who were newly insured gained the highest rate of controlled HbAlc (hazard ratio = 2.21: 95% confidence interval, 1.10—4.66) relative to the continuously insured group. CONCLUSIONS: The impact of the ACA Medicaid expansion on health disparities is multifaceted and may differ across racial/ethnic groups. This study highlights the importance of CHCs for the health of minority populations.

Community health centers (CHCs) play an important role in providing care for the safety net population. After implementation of the Affordable Care Act, many patients gained insurance through state and federal marketplaces. Using electronic health record data from 702,663 patients in 257 clinics across 20 states, we sought to explore the following differences between Medicaid expansion and non-expansion state CHCs: (1) trends in private/marketplace insurance post-expansion, and (2) whether CHC patients retain private/marketplace insurance. We found that patients in non-expansion state CHCs relied more heavily on private/marketplace insurance than patients in expansion states and had increases in private/marketplace-insured visits from 2014 through 2018. Additionally, there appeared to be seasonal variation in private/marketplace-insured visits that were more pronounced in non-expansion states. While a greater percentage of patients in non-expansion states retained private/marketplace insurance than in expansion states, a greater percentage of those who did not retain it became uninsured. In comparison, a greater percentage of patients in expansion states who lost private/marketplace insurance gained other types of health insurance. CHCs' ability to provide adequate care for vulnerable populations relies, in part, on federal grants as well as reimbursement from insurers: decreases in either could result in reduced capacity or quality of care for patients seen in CHCs.

Background The Affordable Care Act (ACA) increased health insurance coverage throughout the United States and improved care delivery for some services. We assess whether ACA implementation and Medicaid expansion were followed by greater receipt of recommended preventive services among women and girls in a large network of community health centers. Methods Using electronic health record data from 354 community health centers in 14 states (10 expansion, 4 nonexpansion), we used generalized estimating equations and difference-in-difference methods to compare receipt of six recommended preventive services (cervical cancer screening, human papilloma virus vaccination, chlamydia screening, influenza vaccination, human immunodeficiency virus screening, and blood pressure screening) among active female patients ages 11 to 65 (N = 711,121) before and after ACA implementation and between states that expanded versus did not expand Medicaid. Results Except for blood pressure screening, receipt of all examined preventive services increased after ACA implementation in both Medicaid expansion and nonexpansion states. Influenza vaccination and blood pressure screening increased more in expansion states (adjusted absolute prevalence difference-in-difference, 1.55; 95% confidence interval, 0.51–2.60; and 1.98; 95% confidence interval, 0.91–3.05, respectively). Chlamydia screening increased more in nonexpansion states (adjusted absolute prevalence difference-in-difference: −4.21; 95% confidence interval, −6.98 to −1.45). Increases in cervical cancer screening, human immunodeficiency virus screening, and human papilloma virus vaccination did not differ significantly between expansion and nonexpansion states. Conclusions Among female patients at community health centers, receipt of recommended preventive care improved after ACA implementation in both Medicaid expansion and nonexpansion states, although the overall rates remained low. Continued support is needed to overcome barriers to preventive care in this population.

Introduction Initiating tobacco use in adolescence increases the risk of nicotine dependence and continued use into adulthood. Primary care visits provide opportunities for the assessment and treatment of tobacco use; however, little is known about prevalence and correlates of assessing smoking status and current use among adolescents in these settings. Aims and Methods Using electronic health record data from the OCHIN network, we identified adolescents with greater than or equal to one primary care visit to a study clinic (n = 366 clinics from 15 US states) during January 1, 2016 to December 31, 2017. We estimated odds ratios of smoking assessment and current smoking status by patient covariates. Results Of 140 887 patients, 87.4% were assessed for smoking. Being Latino or Black (adjusted odds ratio = 1.22, 95% confidence interval: 1.13–1.32; adjusted odds ratio = 1.17, 95% confidence interval: 1.07–1.29, respectively, vs. non-Hispanic White), publicly insured, having more visits, and having an asthma diagnosis or other respiratory symptoms were associated with higher odds of assessment. Odds were lower if the patient was male and uninsured. Of those assessed, 1.6% identified as current smokers. Being older, having more visits, an asthma diagnosis, other respiratory symptoms, and lower household income was associated with higher odds of being a current smoker. Latinos and Blacks had lower odds than non-Hispanic Whites. Conclusions Although some commonly reported tobacco-related disparities were not present, smoking assessment and current smoking status differed significantly by most patient demographics. Implementation of adolescent tobacco assessment protocols and the development of interventions to target subpopulations of adolescents with higher rates of smoking could mitigate disparate rates of assessment and smoking, respectively. Implications Clinical guidelines recommend screening adolescents for tobacco use in primary care settings. We found that most adolescents seen in US safety-net primary care clinics were assessed for smoking. We also found that smoking assessment and current smoking status differed significantly by most patient demographics. Implementing tobacco assessment protocols specific to adolescents could mitigate disparate rates of assessment and ensure accurate documentation of all forms of tobacco use, given the evolution of alternative tobacco products and poly use among adolescents. Interventions to target subpopulations of adolescents with higher smoking rates are needed to prevent the negative health effects of continued smoking.

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.

INTRODUCTION: Patients with multiple chronic conditions (multimorbidity) are commonly seen in primary care practices and often have suboptimal uptake of preventive care owing to competing treatment demands. The complexity of multimorbidity patterns and their impact on receiving preventive services is not fully understood. This study identifies multimorbidity combinations associated with low receipt of preventive services. METHODS: This was a retrospective cohort study of U.S. community health center patients aged ≥19 years. Electronic health record data from 209 community health centers for the January 1, 2014–December 31, 2017 study period were analyzed in 2018–2019. Multimorbidity patterns included: “physical only,” “mental health only,” and “physical and mental health” multimorbidity patterns, with “no multimorbidity” as a reference category. Electronic health record–based preventive ratios (number of months services were up-to-date/total months the patient was eligible for services) were calculated for the 14 preventive services. Negative binomial regression models assessed the relationship between multimorbidity physical/mental health patterns and the preventive ratio for each service. RESULTS: There was a variation in receipt of preventive care between multimorbidity groups: Individuals with “mental health only” multimorbidity were less likely to be up-to-date with cardiometabolic and cancer screenings compared with the “no multimorbidity” group or groups with physical health conditions, and the “physical only” multimorbidity group had low rates of depression screening. CONCLUSIONS: This study provided critical insights into receipt of preventive service among adults with multimorbidity using a more precise method for measuring up-to-date preventive care delivery. Findings would be useful to identify target populations for future intervention programs to improve preventive care.

Objective: To (1) compare clinic-level uninsured, Medicaid-insured, and privately insured visit rates within and between expansion and nonexpansion states before and after the Affordable Care Act (ACA) Medicaid expansion among the 3 cohorts of patient populations; and (2) assess whether there was a change in clinic-level overall, primary care visits, preventive care visits, and diabetes screening rates in expansion versus nonexpansion states from pre-ACA to post-ACA Medicaid expansion. Methods: Electronic health record data on nonpregnant patients aged 19 to 64 years, with ≥1 ambulatory visit between 01/01/2012 and 12/31/2015 (n = 483,912 in expansion states; n = 388,466 in nonexpansion states) from 198 primary care community health centers were analyzed. Using a difference-in-difference methodology, we assessed changes in visit rates pre-ACA versus post-ACA among a cohort of patients with diabetes, prediabetes, and no diabetes. Results: Rates of uninsured visits decreased for all cohorts in expansion and nonexpansion states. For all cohorts, Medicaid-insured visit rates increased significantly more in expansion compared with nonexpansion states, especially among prediabetic patients (+71%). In nonexpansion states, privately insured visit rates more than tripled for the prediabetes cohort and doubled for the diabetes and no diabetes cohorts. Rates for glycosylated hemoglobin screenings increased in all groups, with the largest changes among no diabetes (rate ratio, 2.26; 95% CI, 1.97–2.56) and prediabetes cohorts (rate ratio, 2.00; 95% CI, 1.80–2.19) in expansion states. Conclusion: The ACA reduced uninsurance and increased access to preventive care for vulnerable patients, especially those with prediabetes. These findings are important to consider when making decisions regarding altering the ACA.

INTRODUCTION: Obstructive pulmonary disease outcomes in the United States differ between Latinos and non-Hispanic whites. There is little objective data about diagnosis prevalence and primary care visit frequency in these disease processes. METHODS: We used electronic health record data to perform a retrospective cohort analysis of 34,849 low-income patients seen at Oregon community health centers between 2009–2013 to assess joint racial/ethnic and insurance disparities in diagnosis and visit rates between Latino and non-Hispanic white patients. RESULTS: The overall study prevalence of obstructive lung disease was 18%. Latinos had lower odds of obstructive lung disease diagnosis (OR=0.37, 95% CI=0.30–0.44). Among those diagnosed prior to 2009, the uninsured (regardless of race/ethnicity) had lower visit rates during 2009–2013 than the insured. DISCUSSION: This study identified racial/ethnic disparities in the diagnosis of obstructive pulmonary disease between Latinos and non-Hispanic Whites, confirming trends observed in survey research but controlling for important confounders. Health insurance was associated with basic care utilization, suggesting that lack of health insurance could lessen the quality of care for obstructive pulmonary disease in Latino and non-Hispanic white patients.

Objectives. To examine associations between patient factors and smoking cessation assistance in US safety-net clinics. Methods. Using electronic health record data from the OCHIN network, we identified adults with at least 1 primary care visit to a study clinic (n = 143 clinics in 12 states) with at least 1 documented “current smoker” status during 2014 to 2016 (n = 136 314; 29.8%). We estimated odds ratios (ORs) of smoking cessation assistance receipt (none [reference], counseling, medication, or both) by patient covariates. Results. For all cessation assistance categories, odds of assistance were higher among women, those with more visits, those assessed and ready to quit, and patients with asthma or chronic obstructive pulmonary disease and hyperlipidemia. Odds of receiving both counseling and medication were lower among uninsured patients (OR = 0.56; 95% confidence interval [CI] = 0.48, 0.64), those of a race/ethnicity other than non-Hispanic White (OR range = 0.65–0.82), and those with diabetes (OR = 0.85; 95% CI = 0.79, 0.92), and higher among older patients and those with a comorbidity, with few exceptions. Conclusions. Disparities in smoking cessation assistance receipt exist in safety-net settings, in particular by health insurance coverage and across race/ethnicity, even after control for other socioeconomic and demographic factors.

Health insurance coverage facilitates access to preventive screenings and other essential health care services, and is linked to improved health outcomes; therefore, it is critical to understand how well coverage information is documented in the electronic health record (EHR) and which characteristics are associated with accurate documentation. Our objective was to evaluate the validity of EHR data for monitoring longitudinal Medicaid coverage and assess variation by patient demographics, visit types, and clinic characteristics. We conducted a retrospective, observational study comparing Medicaid status agreement between Oregon community health center EHR data linked at the patient-level to Medicaid enrollment data (gold standard). We included adult patients with a Medicaid identification number and ≥1 clinic visit between 1/1/2013–12/31/2014 [>1 million visits (n = 135,514 patients)]. We estimated statistical correspondence between EHR and Medicaid data at each visit (visit-level) and for different insurance cohorts over time (patient-level). Data were collected in 2016 and analyzed 2017–2018. We observed excellent agreement between EHR and Medicaid data for health insurance information: kappa (>0.80), sensitivity (>0.80), and specificity (>0.85). Several characteristics were associated with agreement; at the visit-level, agreement was lower for patients who preferred a non-English language and for visits missing income information. At the patient-level, agreement was lower for black patients and higher for older patients seen in primary care community health centers. Community health center EHR data are a valid source of Medicaid coverage information. Agreement varied with several characteristics, something researchers and clinic staff should consider when using health insurance information from EHR data. Keywords: Electronic health records, Medicaid, Health policy, Health insurance

BACKGROUND: There is interest in assessing healthcare utilization and expenditures among new Medicaid enrollees after the 2014 Medicaid expansion. Recent studies have not differentiated between newly enrolled individuals and those returning after coverage gaps. OBJECTIVES: To assess healthcare expenditures among Medicaid enrollees in the 24 months after Oregon’s 2014 Medicaid expansions and examine whether expenditure patterns were different among the newly, returning, and continuously insured. RESEARCH DESIGN: Retrospective cohort study using inverse-propensity weights to adjust for differences between groups. SUBJECTS: Oregon adult Medicaid beneficiaries insured continuously from 2014-2015 who were either newly, returning, or continuously insured. MEASURES: Monthly expenditures for inpatient care, prescription drugs, total outpatient care, and subdivisions of outpatient care: emergency department (ED), dental, mental and behavioral health (MBH), primary care (PC), and specialist care. RESULTS: After initial increases, newly and returning insured outpatient expenditures dropped below continuously insured. Expenditures for ED and dental services among the returning insured remained higher than among the newly insured. Newly insured MBH, PC, and specialist expenditures plateaued higher than returning insured. Prescription drug expenditures increased over time for all groups, with continuously insured highest and returning insured lowest. All groups had similar inpatient expenditures over 24 months post-Medicaid expansion. CONCLUSIONS: Our findings reveal that outpatient expenditures for new non-pregnant, non-dual-eligible Oregon Medicaid recipients stabilized over time after meeting pent-up demand, and prior insurance history affected the mix of services that individuals received. Policy evaluations should consider expenditures over at least 24 months and should account for enrollees’ prior insurance histories.

PURPOSE Improving primary care quality is a national priority, but little is known about the extent to which small to medium-size practices use quality improvement (QI) strategies to improve care. We examined variations in use of QI strategies among 1,181 small to medium-size primary care practices engaged in a national initiative spanning 12 US states to improve quality of care for heart health and assessed factors associated with those variations. METHODS In this cross-sectional study, practice characteristics were assessed by surveying practice leaders. Practice use of QI strategies was measured by the validated Change Process Capability Questionnaire (CPCQ) Strategies Scale (scores range from −28 to 28, with higher scores indicating more use of QI strategies). Multivariable linear regression was used to examine the association between practice characteristics and the CPCQ strategies score. RESULTS The mean CPCQ strategies score was 9.1 (SD = 12.2). Practices that participated in accountable care organizations and those that had someone in the practice to configure clinical quality reports from electronic health records (EHRs), had produced quality reports, or had discussed clinical quality data during meetings had higher CPCQ strategies scores. Health system–owned practices and those experiencing major disruptive changes, such as implementing a new EHR system or clinician turnover, had lower CPCQ strategies scores. CONCLUSION There is substantial variation in the use of QI strategies among small to medium-size primary care practices across 12 US states. Findings suggest that practices may need external support to strengthen their ability to do QI and to be prepared for new payment and delivery models.

Lumbar fusion surgery is usually prompted by chronic back pain, and many patients receive long-term preoperative opioid analgesics. Many expect surgery to eliminate the need for opioids. We sought to determine what fraction of long-term preoperative opioid users discontinue or reduce dosage postoperatively; what fraction of patients with little preoperative use initiate long-term use; and what predicts long-term postoperative use. This retrospective cohort study included 2491 adults undergoing lumbar fusion surgery for degenerative conditions, using Oregon's prescription drug monitoring program to quantify opioid use before and after hospitalization. We defined long-term postoperative use as ≥4 prescriptions filled in the 7 months after hospitalization, with at least 3 occurring >30 days after hospitalization. Overall, 1045 patients received long-term opioids preoperatively, and 1094 postoperatively. Among long-term preoperative users, 77.1% continued long-term postoperative use, and 13.8% had episodic use. Only 9.1% discontinued or had short-term postoperative use. Among preoperative users, 34.4% received a lower dose postoperatively, but 44.8% received a higher long-term dose. Among patients with no preoperative opioids, 12.8% became long-term users. In multivariable models, the strongest predictor of long-term postoperative use was cumulative preoperative opioid dose (odds ratio of 15.47 [95% confidence interval 8.53-28.06] in the highest quartile). Cumulative dose and number of opioid prescribers in the 30-day postoperative period were also associated with long-term use. Thus, lumbar fusion surgery infrequently eliminated long-term opioid use. Opioid-naive patients had a substantial risk of initiating long-term use. Patients should have realistic expectations regarding opioid use after lumbar fusion surgery.

Adequate access to and utilization of preventive services are vital among cancer survivors. This study examined preventive service utilization of cancer survivors compared to matched patients with no history of cancer among patients seeking care at community health centers (CHCs).We utilized electronic health record data from the OCHIN network between 2014 and 2017. Cancer survivors (N = 20,538) ages ≥ 18 years were propensity score matched to three individuals with no history of cancer (N = 61,617) by age, sex, region, urban/rural, ethnicity, race, BMI, and Charlson Comorbidity Index. Preventive screenings included cancer, mental health and substance abuse, cardiovascular, and infectious disease screenings, and vaccinations. Patient-level preventive service indices were calculated for each screening as the total person-time covered divided by the total person-time eligible. Preventive service rate ratios comparing cancer survivors to patients with no history of cancer were estimated using negative binomial regression.Cancer survivors had higher overall preventive service utilization (incidence rate ratio = 1.11, 95% confidence interval = 1.09-1.13) and higher rates of cancer screenings (IRR = 1.16, 95% CI = 1.12-1.20). There was no difference between the two groups in mental health screenings.Cancer survivors were more likely to be up-to-date with preventive care than their matched counterparts. However, mental health and substance abuse screenings were low in both groups, despite reports of increased mental health conditions among cancer survivors.With the growing number of cancer survivors in the USA, efforts are needed to ensure their access to and utilization of preventive services, especially related to behavioral and mental healthcare.

ObjectiveAsthma care is negatively impacted by neighbourhood social and environmental factors, and moving is associated with undesirable asthma outcomes. However, little is known about how movement into and living in areas of high deprivation relate to primary care use. We examined associations between neighbourhood characteristics, mobility and primary care utilisation of children with asthma to explore the relevance of these social factors in a primary care setting.DesignIn this cohort study, we conducted negative binomial regression to examine the rates of primary care visits and annual influenza vaccination and logistic regression to study receipt of pneumococcal vaccination. All models were adjusted for patient-level covariates.SettingWe used data from community health centres in 15 OCHIN states.ParticipantsThe sample included 23 773 children with asthma aged 3–17 across neighbourhoods with different levels of social deprivation from 2012 to 2017. We conducted negative binomial regression to examine the rates of primary care visits and annual influenza vaccination and logistic regression to study receipt of pneumococcal vaccination. All models were adjusted for patient-level covariates.ResultsClinic visit rates were higher among children living in or moving to areas with higher deprivation than those living in areas with low deprivation (rate ratio (RR) 1.09, 95% CI 1.02 to 1.17; RR 1.05, 95% CI 1.00 to 1.11). Children moving across neighbourhoods with similarly high levels of deprivation had increased RRs of influenza vaccination (RR 1.13, 95% CI 1.03 to 1.23) than those who moved but stayed in neighbourhoods of low deprivation.ConclusionsMovement into and living within areas of high deprivation is associated with more primary care use, and presumably greater opportunity to reduce undesirable asthma outcomes. These results highlight the need to attend to patient movement in primary care visits, and increase neighbourhood-targeted population management to improve equity and care for children with asthma.

Background: Cancer is the second most common cause of mortality in the United States. Cancer screening and prevention services have contributed to improved overall cancer survival rates in the past 40 years. Vulnerable populations (i.e., uninsured, low-income, and racial/ethnic minorities) are disproportionately affected by cancer, receive significantly fewer cancer prevention services, poorer healthcare, and subsequently lower survival rates than insured, white, non-Hispanic populations. The Affordable Care Act (ACA) aims to provide health insurance to all low-income citizens and legal residents, including an expansion of Medicaid eligibility for those earning ≤138% of federal poverty level. As of 2012, Medicaid was expanded in 32 states and the District of Columbia, while 18 states did not expand, creating a ‘natural experiment’ to assess the impact of Medicaid expansion on cancer prevention and care. Methods: We will use electronic health record data from up to 990 community health centers available up to 24-months before and at least one year after Medicaid expansion. Primary outcomes include health insurance and coverage status, and type of insurance. Additional outcomes include healthcare delivery, number and types of encounters, and receipt of cancer prevention and screening for all patients and preventive care and screening services for cancer survivors. Discussion: Cancer morbidity and mortality is greatly reduced through screening and prevention, but uninsured patients are much less likely than insured patients to receive these services as recommended. This natural policy experiment will provide valuable information about cancer-related healthcare services as the US tackles the distribution of healthcare resources and future health reform. Trial Registration: Clinicaltrails.gov identifier NCT02936609. Keywords: Cancer, Medicaid, Affordable Care Act, Natural experiment, Screening, Preventive services

Introduction In cross-sectional survey studies, obese Latinos are less likely to be screened for elevated serum cholesterol, despite their higher risk for hyperlipidemia and coronary artery disease. This study evaluated insurance and racial/ethnic disparities in lipid screening receipt between obese Latino and non-Hispanic white patients in Oregon community health centers (CHCs) over 5 years, using electronic health record data. Methods This retrospective cohort study evaluated obese (BMI ≥30), low-income, adult patients (aged 21−79 years) with at least one visit at an Oregon CHC during 2009–2013 (n=11,095). Odds of lipid screening in the study period (clinical data collected in 2009–2013) were measured, adjusting for age, sex, primary clinic, and comorbidities, stratified by utilization in the study period. Analysis was done in 2016. Results Sixty percent of the study population received at least one lipid screening in 2009−2013. There were no significant differences in screening between insured Latinos and insured non-Hispanic whites, except those with more than five visits over 5 years (OR=0.75, 95% CI=0.60, 0.94). Uninsured Latinos had higher odds of screening versus insured non-Hispanic whites among the low visit strata (OR=1.65, 95% CI=1.18, 2.30). Among Latinos, Spanish preference resulted in higher screening odds versus English preference in the two- to five-visit stratum (OR=1.63, 95% CI=1.12, 2.35). Conclusions Obese, low-income patients at CHCs underutilize cholesterol screening. However, screening differences by race/ethnicity and preferred language are minimal. Further research is necessary to understand how care delivered by CHCs may mitigate previously reported disparities in lipid screening.

Understanding the impact of health insurance is critical, particularly in the era of Affordable Care Act Medicaid expansion. The electronic health record (EHR) provides new opportunities to quantify health outcomes. To assess changes in biomarkers of chronic disease among community health center (CHC) patients who gained Medicaid coverage with the Oregon Medicaid expansion (2008–2011). Prospective cohort. Patients were followed for 24 months, and rate of mean biomarker change was calculated. Time to a controlled follow-up measurement was compared using Cox regression models. Using EHR data from OCHIN (a non-profit network of CHCs) linked to state Medicaid data, we identified three cohorts of patients with uncontrolled chronic conditions (diabetes, hypertension, and hyperlipidemia). Within these cohorts, we included patients who gained Medicaid coverage along with a propensity score-matched comparison group who remained uninsured (diabetes n = 608; hypertension n = 1244; hyperlipidemia n = 546). Hemoglobin A1c (HbA1c) for the diabetes cohort, systolic and diastolic blood pressure (SBP and DBP, respectively) for the hypertension cohort, and low-density lipoprotein (LDL) for the hyperlipidemia cohort. All cohorts improved over time. Compared to matched uninsured patients, adults in the diabetes and hypertension cohorts who gained Medicaid coverage were significantly more likely to have a follow-up controlled measurement (hazard ratio [HR] =1.26, p = 0.020; HR = 1.35, p

INTRODUCTION Far fewer opioids are prescribed in Japan than in the United States. METHODS We conducted an online physician survey assessing attitudes and perceptions that might influence prescribing. A Japanese version was distributed to members of the Japan Primary Care Association and an English version to members of the American Academy of Family Physicians practicing in Oregon. RESULTS We received 461 Japanese responses and 198 from the United States, though overall response rates were low (Japan: 10.1%, United States: 18.5%). Japanese respondents reported far less opioid prescribing than US respondents, especially for acute pain (acute pain: 49.4% vs 97.0%; chronic pain: 63.7% vs 90.9%; P < .001 for both). Almost half of respondents from both countries indicated that patient expectations and satisfaction were important factors that influence prescribing. US respondents were significantly more likely to identify medical indication and legal expectation as reasons to prescribe opioids for acute pain. Most US respondents (95.4%) thought opioids were used too often, versus 6.6% of Japanese respondents. CONCLUSIONS Lower opioid use was reported in Japan, especially for acute pain, which may help minimize long-term use. Patient expectations and satisfaction seem to influence opioid prescribing in both countries. The United States could learn from Japanese regulatory and cultural perspectives.

Primary care patient-centered medical homes (PCMHs) are an effective healthcare delivery model. Evidence regarding the most effective payment models for increased coordination efforts is sparse. This protocol paper describes the evaluation of an Alternative Payment Methodology (APM) implemented in a subset of Oregon community health centers (CHCs), using a prospective matched observational design. The APM is a primary care payment reform intervention that changed Oregon’s Medicaid payment for several CHCs from fee-for-service reimbursement to a per-member-per-month capitated payment. We will implement a difference-in-difference analytic approach to evaluate pre-post APM changes between intervention and control groups, including: 1) clinic-level outcomes, 2) patient-level clinical outcomes, and 3) patient-level econometric outcomes. Findings from the project will be of national significance, as there is a need for evidence regarding how novel payment methods might enhance PCMH capabilities and support their capacity to produce better quality and outcomes. If this capitated payment method is proven effective, study findings will inform dissemination of similar APMs nationwide.

Importance Palliative care is a patient-centered approach associated with improvements in quality of life; however, results regarding its association with a survival benefit have been mixed, which may be a factor in its underuse. Objective To assess whether early palliative care is associated with a survival benefit among patients with advanced lung cancer. Design, Setting, and Participants This retrospective population-based cohort study was conducted among patients with lung cancer who were diagnosed with cancer between January 1, 2007, and December 31, 2013, with follow-up until January 23, 2017. Participants comprised 23 154 patients with advanced lung cancer (stage IIIB and stage IV) who received care in the Veterans Affairs health care system. Data were analyzed from February 15, 2019, to April 28, 2019. Exposure Palliative care defined as a specialist-delivered palliative care encounter received after lung cancer diagnosis. Main Outcomes and Measures The primary outcome was survival. The association between palliative care and place of death was also examined. Propensity score and time-varying covariate methods were used to calculate Cox proportional hazards and to perform regression modeling. Results Of the 23 154 patients enrolled in the study, 57% received palliative care. The mean (SD) age of participants was 68 (9.5) years, and 98% of participants were men. An examination of the timing of palliative care receipt relative to cancer diagnosis found that palliative care received 0 to 30 days after diagnosis was associated with decreases in survival (adjusted hazard ratio [aHR], 2.13; 95% CI, 1.97-2.30), palliative care received 31 to 365 days after diagnosis was associated with increases in survival (aHR, 0.47; 95% CI, 0.45-0.49), and palliative care received more than 365 days after diagnosis was associated with no difference in survival (aHR, 1.00; 95% CI, 0.94-1.07) compared with nonreceipt of palliative care. Receipt of palliative care was also associated with a reduced risk of death in an acute care setting (adjusted odds ratio, 0.57; 95% CI, 0.52-0.64) compared with nonreceipt of palliative care. Conclusions and Relevance The results suggest that palliative care was associated with a survival benefit among patients with advanced lung cancer. Palliative care should be considered a complementary approach to disease-modifying therapy in patients with advanced lung cancer.

BACKGROUND: Previous studies suggest the newly Medicaid insured are more likely to use the emergency department (ED) however they did not differentiate between patients established or not established with primary care. OBJECTIVES: To understand where Oregon Medicaid beneficiaries sought care after the Patient Protection and Affordable Care Act (PPACA) Medicaid expansion (ED, primary care, or specialist) and the interaction between primary care establishment and outpatient care utilization. RESEARCH DESIGN: A retrospective cohort study. SUBJECTS: Adults continuously insured from 2014 through 2015 who were either newly, returning, or continuously insured post-PPACA. MEASURES: Site of first and last outpatient visit, established with primary care status, and outpatient care utilization. RESULTS: The odds of being established with primary care at their first visit were lower among newly [odds ratio (OR), 0.18; 95% confidence interval (Cl), 0.18–0.19] and returning insured (OR, 0.22; 95% Cl, 0.22–0.23) than the continuously insured. Continuously insured, new patients with primary care had higher odds of visiting the ED (OR, 2.15; 95% Q, 2.01–2.30) at their first visit than newly or returning insured. Patients established with a single primary care provider in all insurance groups had lower rates of ED visit, whereas those established with multiple primary care providers had the highest ED visit rates. CONCLUSIONS: Most newly and returning insured Medicaid enrollees sought primary care rather than ED services and most became established with primary care. Our findings suggest that both insurance and primary care continuity play a role in where patients seek health care services.