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OBJECTIVE The purpose of the study is to examine diabetes screening and monitoring among Latino individuals as compared with non-Latino White individuals and to better understand how we can use neighborhood data to address diabetes care inequities. RESEARCH DESIGN AND METHODS This is a retrospective observational study linked with neighborhood-level Latino subgroup data obtained from the American Community Survey. We used generalized estimating equation negative binomial and logistic regression models adjusted for patient-level covariates to compare annual rates of glycated hemoglobin (HbA1c) monitoring for those with diabetes and odds of HbA1c screening for those without diabetes by ethnicity and among Latinos living in neighborhoods with low (0.0–22.0%), medium (22.0–55.7%), and high (55.7–98.0%) population percent of Mexican origin. RESULTS Latino individuals with diabetes had 18% higher rates of HbA1c testing than non-Latino White individuals with diabetes (adjusted rate ratio [aRR] 1.18 [95% CI 1.07–1.29]), and Latinos without diabetes had 25% higher odds of screening (adjusted odds ratio 1.25 [95% CI 1.15–1.36]) than non-Latino White individuals without diabetes. In the analyses in which neighborhood-level percent Mexican population was the main independent variable, all Latinos without diabetes had higher odds of HbA1c screening compared with non-Latino White individuals, yet only those living in low percent Mexican-origin neighborhoods had increased monitoring rates (aRR 1.31 [95% CI 1.15–1.49]). CONCLUSIONS These findings reveal novel variation in health care utilization according to Latino subgroup neighborhood characteristics and could inform the delivery of diabetes care for a growing and increasingly diverse Latino patient population. Clinicians and researchers whose work focuses on diabetes care should take steps to improve equity in diabetes and prevent inequity in treatment.

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

Objective: School re-entry following hospitalization for psychiatric care has been reported as difficult for many adolescent patients. Continuous quality improvement initiatives may improve programming to enhance school re-entry experiences. The purpose for this study was to explore the school re-entry perspectives of the youth discharged from a psychiatric inpatient unit after implementing programs that patients previously identified as needed. Methods: A survey was administered to the youth about one month after discharge to gather their perspective of their school re-entry, along with self-rated resilience and stress. Results: Twenty-six youth (23%) participated in the post-discharge survey who reported a mean age of 15.6 years (SD 1.0), 77% identified as female, 13 (50%) provided very positive re-entry comments, eight (31%) reported moderately positive experiences, and five (19%) reported a very poor school re-entry. Mean perceived resilience (4.01, SD 0.6) and stress (3.42, SD 0.8) scores suggest youth thought they had good resilience and moderate stress. Conclusions: Most youth reported a good school re-entry. Considerable concerns remain for the 19% who reported a poor school re-entry who may benefit from specialized outpatient or day programming post-discharge before attempting a return to school. Future directions for research are provided.

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.

Objective To compare Oregon school‐based health centers (SBHCs) with community health centers (CHCs) as sources of adolescent contraceptive services. Data sources Oregon electronic health record data, 2012–2016. Study design We compared clinic‐level counseling rates and long‐acting reversible contraception (LARC) provision, adolescent populations served, and visit‐level LARC provision time trends. We evaluated adjusted associations between LARC provision and Title X participation by clinic type. Data collection/extraction methods We used diagnosis and procedure codes to identify contraceptive counseling and provision visits, excluding visits for adolescents not at risk of pregnancy. Principal findings CHCs were more likely to provide LARC on‐site than SBHCs (67.2% vs. 36.4%, respectively). LARC provision increased more at SBHCs (5.8‐fold) than CHCs (2‐fold) over time. SBHCs provided more counseling visits per clinic (255 vs. 142) and served more young and non‐White adolescents than CHCs. The adjusted probability of LARC provision at Title X SBHCs was higher than non‐Title X SBHCs (4.4% [3.9–4.9] vs. 1.7% [1.4–2.0]), but there was no significant association at CHCs. Conclusions In Oregon, CHCs and SBHCs are both important sources of adolescent contraceptive services, and Title X plays a crucial role in SBHCs. Compared with CHCs, SBHCs provided more counseling, showed a larger increase in LARC provision over time, and served more younger and non‐White adolescents.

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.

The rate of admission to treatment facilities for psychiatric illness in youth is rising. There is also concern for their use of screen-time behaviors. The purpose of the present study was to explo...

Objective: The aim for this study was to explore the proportion of patients with a Substance Use Disorder (SUD), their proportion of overall admissions, and their psychosocial histories at a regional child and adolescent inpatient psychiatric unit. Methods: A retrospective chart review was conducted on all admissions of patients with a SUD. Abstracted patient data included demographic information, diagnoses, psychosocial histories, living situation at the time of admission, legal involvement and charges, whether an alternate level of care was needed, and discharge plans. Results: From September 2018 to February 2020, of the 540 patients admitted, 126 (23.3%) had a SUD recorded in their charts and accounted for 34.6% of the total number of admissions. Their mean age was 15.85 (SD 1.10; range 13 to 18) years, and most were identified as female (n=81; 64%), which is consistent with the number of female patients admitted during the study period (n=366 female of 540 admitted; X2=0.56, p= 0.45). Common psychiatric diagnoses included mood, trauma, and stressor-related and anxiety disorders. Most patients (124; 98.4%) had a history of psychosocial adversity, 90 (71.4%) patients had a parent with a mental illness or a SUD, 55 (44%) reported being bullied, 54 (43%) reported being sexually assaulted and several (n=41;33%) had experienced precarious living situations. Conclusion: Adolescent inpatients with a SUD were also managing a complex array of clinical and psychosocial challenges. Upon discharge from the hospital, some patients were placed on waitlists, and many patients were referred to specialized treatment far from home, highlighting the need for additional, comprehensive programs for SUD and the constellation of psychosocial problems associated with these disorders.

IntroductionCountry of birth/nativity information may be crucial to understanding health equity in Latino populations and is routinely called for in health services literature assessing cardiovascular disease and risk, but is not thought to co-occur with longitudinal, objective health information such as that found in electronic health records (EHRs).MethodsWe used a multistate network of community health centres to describe the extent to which country of birth is recorded in EHRs in Latinos, and to describe demographic features and cardiovascular risk profiles by country of birth. We compared geographical/demographic/clinical characteristics, from 2012 to 2020 (9 years of data), of 914 495 Latinos recorded as US-born, non-US-born and without a country of birth recorded. We also described the state in which these data were collected.ResultsCountry of birth was collected for 127 138 Latinos in 782 clinics in 22 states. Compared with those with a country of birth recorded, Latinos without this record were more often uninsured and less often preferred Spanish. While covariate adjusted prevalence of heart disease and risk factors were similar between the three groups, when results were disaggregated to five specific Latin countries (Mexico, Guatemala, Dominican Republic, Cuba, El Salvador), significant variation was observed, especially in diabetes, hypertension and hyperlipidaemia.ConclusionsIn a multistate network, thousands of non-US-born, US-born and patients without a country of birth recorded had differing demographic characteristics, but clinical variation was not observed until data was disaggregated into specific country of origin. State policies that enhance the safety of immigrant populations may enhance the collection of health equity related data. Rigorous and effective health equity research using Latino country of birth information paired with longitudinal healthcare information found in EHRs might have significant potential for aiding clinical and public health practice, but it depends on increased, widespread and accurate availability of this information, co-occurring with other robust demographic and clinical data nativity.

ImportanceHealth-related consequences of multimorbidity (≥2 chronic diseases) are well documented. However, the extent and rate of accumulation of chronic diseases among US patients seeking care in safety-net clinics are not well understood. These insights are needed to enable clinicians, administrators, and policy makers to mobilize resources for prevention of disease escalations in this population.ObjectivesTo identify the patterns and rate of chronic disease accumulation among middle-aged and older patients seeking care in community health centers, as well as any sociodemographic differences.Design, Setting, and ParticipantsThis cohort study used electronic health record data from January 1, 2012, to December 31, 2019, on 725 107 adults aged 45 years or older with 2 or more ambulatory care visits in 2 or more distinct years at 657 primary care clinics in the Advancing Data Value Across a National Community Health Center network in 26 US states. Statistical analysis was performed from September 2021 to February 2023.ExposuresRace and ethnicity, age, insurance coverage, and federal poverty level (FPL).Main Outcomes and MeasuresPatient-level chronic disease burden, operationalized as the sum of 22 chronic diseases recommended by the Multiple Chronic Conditions Framework. Linear mixed models with patient-level random effects adjusted for demographic characteristics and ambulatory visit frequency with time interactions were estimated to compare accrual by race and ethnicity, age, income, and insurance coverage.ResultsThe analytic sample included 725 107 patients (417 067 women [57.5%]; 359 255 [49.5%] aged 45-54 years, 242 571 [33.5%] aged 55-64 years, and 123 281 [17.0%] aged ≥65 years). On average, patients started with a mean (SD) of 1.7 (1.7) morbidities and ended with 2.6 (2.0) morbidities over a mean (SD) of 4.2 (2.0) years of follow-up. Compared with non-Hispanic White patients, patients in racial and ethnic minoritized groups had marginally lower adjusted annual rates of accrual of conditions (−0.03 [95% CI, −0.03 to −0.03] for Spanish-preferring Hispanic patients; −0.02 [95% CI, −0.02 to −0.01] for English-preferring Hispanic patients; −0.01 [95% CI, −0.01 to −0.01] for non-Hispanic Black patients; and −0.04 [95% CI, −0.05 to −0.04] for non-Hispanic Asian patients). Older patients accrued conditions at higher annual rates compared with patients 45 to 50 years of age (0.03 [95% CI, 0.02-0.03] for 50-55 years; 0.03 [95% CI, 0.03-0.04] for 55-60 years; 0.04 [95% CI, 0.04-0.04] for 60-65 years; and 0.05 [95% CI, 0.05-0.05] for ≥65 years). Compared with those with higher income (always ≥138% of the FPL), patients with income less than 138% of the FPL (0.04 [95% CI, 0.04-0.05]), mixed income (0.01 [95% CI, 0.01-0.01]), or unknown income levels (0.04 [95% CI, 0.04-0.04]) had higher annual accrual rates. Compared with continuously insured patients, continuously uninsured and discontinuously insured patients had lower annual accrual rates (continuously uninsured, −0.003 [95% CI, –0.005 to –0.001]; discontinuously insured, −0.004 [95% CI, –0.005 to –0.003]).Conclusions and RelevanceThis cohort study of middle-aged patients seeking care in community health centers suggests that disease accrued at high rates for patients’ chronological age. Targeted efforts for chronic disease prevention are needed for patients near or below the poverty line.

Background: The fee-for-service reimbursement system that dominates health care throughout the United States links payment to a billable office visit with a physician or advanced practice provider. Under Oregon’s Alternative Payment and Advanced Care Model (APCM), initiated in 2013, participating community health centers (CHCs) received per-member-per-month payments for empaneled Medicaid patients in lieu of standard fee-for-service Medicaid payments. With Medicaid revenue under APCM no longer tied solely to the volume of visits, the Oregon Health Authority needed a way to document the full range of care and services that CHCs were providing to their patients, including nontraditional patient encounters taking place outside of traditional face-to-face visits with a billable provider. Toward this end, program leadership defined 18 visit and nonvisit-based care activities—“Care Services That Engage Patients” (Care STEPs)—that APCM CHCs were asked to document in the electronic health record to demonstrate continued empanelment. Objective: To describe trends in rates of traditional face-to-face office visits and Care STEPs documentation among CHCs involved in the first 3 phases of APCM implementation. Research Design: The study population included the 9 CHCs involved in the first 3 phases of APCM implementation. Using data from the electronic health record, quarterly summary rates for office visits and Care STEPs were calculated for the first 18 quarters of implementation (March 1, 2013 to June 30, 2017). Results: Among participating CHCs, the mean rate of face-to-face visits with billable providers declined from 635 ± 128 to 461 ± 109 visits/1000 patients/quarter (mean difference, −174; 95% CI, −255, −94). Care STEPs documentation increased from 831 ± 174 to 1017 ± 369 Care Steps/1000 patients/quarter, but the difference was not statistically significant. Care STEPs within the category of New Visit Types were documented most frequently. There were significant increases in documentation of Patient Care Coordination and Integration and a small, albeit significant, increase in Reducing Barriers to Health. There was a significant decline in the documentation of Care STEPs by physicians and advanced practice providers an increase in documentation by ancillary staff. Conclusions: These findings suggest that APCM is increasing CHCs’ capacity to experiment with new ways of providing care beyond the traditional face-to-face office visit with a physician or advanced practice provider. However, CHCs may choose different ways to change the delivery of care and some CHCs have implemented these changes more quickly than others. Future mixed-methods research is needed to understand barriers and facilitators to changing the delivery of care after APCM implementation.

Background: The purpose of the study is to examine diabetes screening and monitoring among Latino individuals as compared to non-Latino white individuals, and to better understand how we can use neighborhood data to address diabetes care inequities. Research Design and Methods: This is a retrospective observational study linked with neighborhood-level Latino subgroup data obtained from the American Community Survey. We used generalized estimating equations negative binomial and logistic regression models adjusted for patient-level covariates to compare annual rates of glycated hemoglobin (HbA1c) monitoring for those with diabetes and odds of HbA1c screening for those without diabetes by ethnicity, and among Latinos living in neighborhoods with low (0.0-22.0%), medium (22.0-55.7%), and high (55.7-98.0%) population percent Mexican-origin. Results: Latino individuals with diabetes had 18% higher rates of HbA1c testing than non-Latino white individuals with diabetes (aRR=1.18, 95%CI=1.07-1.29), and Latinos without diabetes had 25% higher odds of screening (aOR=1.25, 95%CI=1.15-1.36) than non-Latino white individuals without diabetes. In the analyses where neighborhood-level percent Mexican population was the main independent variable, all Latinos without diabetes had higher odds of HbA1c screening compared to non-Latino white individuals, yet only those living in low percent Mexican-origin neighborhoods had increased monitoring rates (aRR=1.31, 95%CI=1.15-1.49). Conclusions: These findings reveal novel variation in healthcare utilization according to Latino subgroup neighborhood characteristics and could inform the delivery of diabetes care for a growing and increasingly diverse Latino patient population. Clinicians and researchers whose work focuses on diabetes care should take steps to improve equity in diabetes and prevent inequity in treatment.

OBJECTIVE: Medication maintenance is critical in the management of asthma. We investigated the differences in electronic health record (EHR) documentation of medication refills for Spanish- and English-speaking Latino children and non-Hispanic white children by examining rates of albuterol rescue inhaler refills from 2005 to 2017, and and inhaled corticosteroid refills from 2015 to 2017 in a multi-state network of community health centers (CHCs). METHODS: We used data from the ADVANCE network of CHCs. Our sample consisted of children aged 3–17, with a diagnosis of asthma and either albuterol or inhaled corticosteroid prescriptions (n = 39,162; n = 4,738 children, respectively). Negative binomial regression was used to calculate rates of refills per prescription adjusted for relevant patient-level covariates. Analyses stratified by asthma severity were also conducted. RESULTS: English-speaking Latino children had lower rates of albuterol refills compared with non-Hispanic white children (rate ratio [RR] = 0.88, 95% confidence interval [CI]: 0.80–0.98), a trend that persisted among children with moderate/severe persistent asthma severity (RR = 0.85, 95% CI: 0.76–0.95). Spanish-speaking Latino and non-Hispanic white children had similar albuterol refills. Inhaled corticosteroid refill rates were comparable between all groups. CONCLUSIONS: In a multi-state network, these findings suggest that CHCs deliver equitable asthma care related to prescription refills between their Latino and white patients, but there is still opportunity for providers to ensure that their English-speaking Latino patients have access to necessary emergency asthma medication.

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: Despite widespread recognition that adherence to clinical preventive guidelines improves patient outcomes, clinicians struggle to implement guideline changes in a timely manner. Multiple factors influence guideline adoption and effective implementation. However, few studies evaluate their collective and inter-related effects. This qualitative study provides a comprehensive picture of the interplay between multiple factors on uptake of new or changed preventive guidelines. Methods: Semistructured interviews conducted in 2018 with a diverse sample of clinicians and practice leaders sought to understand patient, clinician, practice, health system, environment, and guideline factors of influence. An immersion-crystallization approach was used to identify emergent themes. Results: Interviewees expressed motivation to adhere to guidelines but also valued sharing decisions with patients. Personal biases and fears affected both clinician and patient guideline adoption. Practices facilitated implementation through workflow optimization and encouraging a culture of evidence-based practice while a key health system function was to maintain electronic health record alerts. More traditional environmental factors, such as insurance coverage or transportation, were less of a barrier to guideline adoption and implementation than the influence of media and specialists. Various specific guideline characteristics also affected ease of adoption and implementation. Different settings expressed greater health system, practice, or clinician-centric approaches to guideline implementation. Conclusions: Guideline uptake is influenced by a complex interplay of multiple levels of factors including the patient, clinician, practice, health system, environment, and guideline levels. Comprehensively understanding all levels of influence for each specific clinical setting may help to determine the optimal intervention(s) for improving uptake of evidence-based guidelines.

Management of cardiovascular disease (CVD) risk in socioeconomically vulnerable patients is suboptimal; better risk factor control could improve CVD outcomes.To evaluate the impact of a clinical decision support system (CDSS) targeting CVD risk in community health centers (CHCs).This cluster randomized clinical trial included 70 CHC clinics randomized to an intervention group (42 clinics; 8 organizations) or a control group that received no intervention (28 clinics; 7 organizations) from September 20, 2018, to March 15, 2020. Randomization was by CHC organization accounting for organization size. Patients aged 40 to 75 years with (1) diabetes or atherosclerotic CVD and at least 1 uncontrolled major risk factor for CVD or (2) total reversible CVD risk of at least 10% were the population targeted by the CDSS intervention.A point-of-care CDSS displaying real-time CVD risk factor control data and personalized, prioritized evidence-based care recommendations.One-year change in total CVD risk and reversible CVD risk (ie, the reduction in 10-year CVD risk that was considered achievable if 6 key risk factors reached evidence-based levels of control).Among the 18 578 eligible patients (9490 [51.1%] women; mean [SD] age, 58.7 [8.8] years), patients seen in control clinics (n = 7419) had higher mean (SD) baseline CVD risk (16.6% [12.8%]) than patients seen in intervention clinics (n = 11 159) (15.6% [12.3%]; P .001); baseline reversible CVD risk was similarly higher among patients seen in control clinics. The CDSS was used at 19.8% of 91 988 eligible intervention clinic encounters. No population-level reduction in CVD risk was seen in patients in control or intervention clinics; mean reversible risk improved significantly more among patients in control (-0.1% [95% CI, -0.3% to -0.02%]) than intervention clinics (0.4% [95% CI, 0.3% to 0.5%]; P .001). However, when the CDSS was used, both risk measures decreased more among patients with high baseline risk in intervention than control clinics; notably, mean reversible risk decreased by an absolute 4.4% (95% CI, -5.2% to -3.7%) among patients in intervention clinics compared with 2.7% (95% CI, -3.4% to -1.9%) among patients in control clinics (P = .001).The CDSS had low use rates and failed to improve CVD risk in the overall population but appeared to have a benefit on CVD risk when it was consistently used for patients with high baseline risk treated in CHCs. Despite some limitations, these results provide preliminary evidence that this technology has the potential to improve clinical care in socioeconomically vulnerable patients with high CVD risk.ClinicalTrials.gov Identifier: NCT03001713.

Receipt of recommended well-child care is lowest for children without insurance, many of whom receive care in community health centers (CHCs).To understand if there is an association between parent preventive care and their children's well-child visits.We used electronic health record data to identify children and link them to parents both seen in an OCHIN network (CHC; n = 363 clinics from 17 states), randomly selected a child aged 3 to 17 with ≥1 ambulatory visit between 2015 and 2018. We employed a retrospective, cohort study design and used general estimating equations Poisson regression to estimate yearly rates of well-child visits based on parent preventive care adjusted for relevant covariates and stratified by child age for 3 linked samples: mother only, father only, and two parents.We included 75,398 linked mother only pairs, 12,438 in our father only, and 4,156 in our 2-parent sample. Children in the mother only sample had a 6% greater rate of yearly well-child visits when their mother received preventive care (adjusted rate ratio [ARR] = 1.06; 95% CI = 1.03-1.08) compared to no preventive care. Children in the father only sample had a 7% greater rate of yearly well-child visits when their father received preventive care (ARR = 1.07; 95% CI = 1.04-1.11) versus no preventive care. Children in the two parent sample had an 11% greater rate of yearly well-child visits when both parents received preventive care (ARR = 1.11; 95% CI = 1.03-1.19) compared to neither receiving preventive care.These findings suggest focusing on receipt of healthcare for the whole family may improve well-child visit rates.

Atherosclerotic cardiovascular disease (ASCVD) disproportionally affects racial and ethnic minority populations. Statin prescribing guidelines changed in 2013 to improve ASCVD prevention. It is unknown whether risk screening for statin eligibility differed across race and ethnicity over this guideline change. We examine racial/ethnic/language differences in screening measure prevalence for period-specific statin consideration using a retrospective cohort design and linked electronic health records from 635 community health centers in 24 U.S. states. Adults 50+ years, without known ASCVD, and ≥ 1 visit in 2009-2013 and/or 2014-2018 were included, grouped as: Asian, Latino, Black, or White further distinguished by language preference. Outcomes included screening measure prevalence for statin consideration, 2009-2013: low-density lipoprotein (LDL), 2014-2018: pooled cohort equation (PCE) components age, sex, race, systolic blood pressure, total cholesterol, high-density lipoprotein, smoking status. Among patients seen both periods, change in period-specific measure prevalence was assessed. Adjusting for sociodemographic and clinical factors, compared to English-preferring White patients, all other groups were more likely to have LDL documented (2009-2013, n = 195,061) and all PCE components documented (2014-2018, n = 344,504). Among patients seen in both periods (n = 128,621), all groups had lower odds of PCE components versus LDL documented in the measures' respective period; English-preferring Black adults experienced a greater decline compared to English-preferring White adults (OR 0.81; 95% CI: 0.72-0.91). Racial/ethnic/language disparities in documented screening measures that guide statin therapy for ASCVD prevention were unaffected by a major guideline change advising this practice. It is important to understand whether the newer guidelines have altered disparate prescribing and morbidity/mortality for this disease.

Multimorbidity (≥ 2 chronic diseases) is associated with greater disability and higher treatment burden, as well as difficulty coordinating self-management tasks for adults with complex multimorbidity patterns. Comparatively little work has focused on assessing multimorbidity patterns among patients seeking care in community health centers (CHCs).To identify and characterize prevalent multimorbidity patterns in a multi-state network of CHCs over a 5-year period.A cohort study of the 2014-2019 ADVANCE multi-state CHC clinical data network. We identified the most prevalent multimorbidity combination patterns and assessed the frequency of patterns throughout a 5-year period as well as the demographic characteristics of patient panels by prevalent patterns.The study included data from 838,642 patients aged ≥ 45 years who were seen in 337 CHCs across 22 states between 2014 and 2019.Prevalent multimorbidity patterns of somatic, mental health, and mental-somatic combinations of 22 chronic diseases based on the U.S. Department of Health and Human Services Multiple Chronic Conditions framework: anxiety, arthritis, asthma, autism, cancer, cardiac arrhythmia, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), congestive heart failure, coronary artery disease, dementia, depression, diabetes, hepatitis, human immunodeficiency virus (HIV), hyperlipidemia, hypertension, osteoporosis, post-traumatic stress disorder (PTSD), schizophrenia, substance use disorder, and stroke.Multimorbidity is common among middle-aged and older patients seen in CHCs: 40% have somatic, 6% have mental health, and 24% have mental-somatic multimorbidity patterns. The most frequently occurring pattern across all years is hyperlipidemia-hypertension. The three most frequent patterns are various iterations of hyperlipidemia, hypertension, and diabetes and are consistent in rank of occurrence across all years. CKD-hyperlipidemia-hypertension and anxiety-depression are both more frequent in later study years.CHCs are increasingly seeing more complex multimorbidity patterns over time; these most often involve mental health morbidity and advanced cardiometabolic-renal morbidity.

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.