Disparities in Elevated Body Mass Index in Youth Receiving Care at Community Health Centers.

Childhood obesity has increased significantly in the United States. Racial subgroups are often grouped into categories in research, limiting our understanding of disparities. This study describes the prevalence of obesity among youth of diverse racial and ethnic backgrounds receiving care at community health centers (CHCs). This cross-sectional study describes the prevalence of elevated body mass index (BMI) (≥85th percentile) and obesity (≥95th percentile) in youth aged 9 to 19 years receiving care in CHCs in 2014. Multilevel logistic regression estimated the prevalence of elevated BMI and obesity by age, race/ethnicity, and sex. Among 64 925 youth, 40% had elevated BMI and 22% were obese. By race, obesity was lowest in the combined Asian/Pacific Islander category (13%); however, when subgroups were separated, the highest prevalence was among Native Hawaiians (33%) and Other Pacific Islanders (42%) and the lowest in Asians. By sex, Black females and Hispanic and Asian males were more likely to be obese. By age, the highest prevalence of obesity was among those aged 9 to 10 years (25%). Youth served by CHCs have a high prevalence of obesity, with significant differences observed by race, sex, and age. Combining race categories obscures disparities. The heterogeneity of communities warrants research that describes different populations to address obesity.

Harmonized outcome measures for use in asthma patient registries and clinical practice.

BACKGROUND: Asthma, a common chronic airway disorder, affects an estimated 25 million persons in the United States and 330 million persons worldwide. Although many asthma patient registries exist, the ability to link and compare data across registries is hindered by a lack of harmonization in the outcome measures collected by each registry. OBJECTIVES: The purpose of this project was to develop a minimum set of patient- and provider-relevant standardized outcome measures that could be collected in asthma patient registries and clinical practice. METHODS: Asthma registries were identified through multiple sources and invited to join the workgroup and submit outcome measures. Additional measures were identified through literature searches and reviews of quality measures and consensus statements. Outcome measures were categorized by using the Agency for Healthcare Research and Quality's supported Outcome Measures Framework. A minimum set of broadly relevant measures was identified. Measure definitions were harmonized through in-person and virtual meetings. RESULTS: Forty-six outcome measures, including those identified from 13 registries, were curated and harmonized into a minimum set of 21 measures in the Outcome Measures Framework categories of survival, clinical response, events of interest, patient-reported outcomes, resource utilization, and experience of care. The harmonized definitions build on existing consensus statements and are appropriate for adult and pediatric patients. CONCLUSIONS: The harmonized measures represent a minimum set of outcomes that are relevant in asthma research and clinical practice. Routine and consistent collection of these measures in registries and other systems would support creation of a national research infrastructure to efficiently address new questions and improve patient management and outcomes.

Detecting Dysglycemia Using the 2015 United States Preventive Services Task Force Screening Criteria: A Cohort Analysis of Community Health Center Patients.

BACKGROUND: In 2015, the United States Preventive Services Task Force (USPSTF) recommended targeted screening for prediabetes and diabetes (dysglycemia) in adults who are aged 40 to 70 y old and overweight or obese. Given increasing prevalence of dysglycemia at younger ages and lower body weight, particularly among racial/ethnic minorities, we sought to determine whether the current screening criteria may fail to identify some high-risk population subgroups. METHODS AND FINDINGS: We investigated the performance of the 2015 USPSTF screening recommendation in detecting dysglycemia among US community health center patients. A retrospective analysis of electronic health record (EHR) data from 50,515 adult primary care patients was conducted. Longitudinal EHR data were collected in six health centers in the Midwest and Southwest. Patients with a first office visit between 2008 and 2010 were identified and followed for up to 3 y through 2013. We excluded patients who had dysglycemia at baseline and those with fewer than two office visits during the follow-up period. The exposure of interest was eligibility for screening according to the 2015 USPSTF criteria. The primary outcome was development of dysglycemia during follow-up, determined by: (1) laboratory results (fasting/2-h postload/random glucose ≥ 100/140/200 mg/dL [5.55/7.77/11.10 mmol/L] or hemoglobin A1C ≥ 5.7% [39 mmol/mol]); (2) diagnosis codes for prediabetes or type 2 diabetes; or (3) antidiabetic medication order. At baseline, 18,846 (37.3%) participants were aged ≥40 y, 33,537 (66.4%) were overweight or obese, and 39,061 (77.3%) were racial/ethnic minorities (34.6% Black, 33.9% Hispanic/Latino, and 8.7% Other). Overall, 29,946 (59.3%) patients had a glycemic test within 3 y of follow-up, and 8,478 of them developed dysglycemia. Only 12,679 (25.1%) patients were eligible for screening according to the 2015 USPSTF criteria, which demonstrated the following sensitivity and specificity (95% CI): 45.0% (43.9%-46.1%) and 71.9% (71.3%-72.5%), respectively. Racial/ethnic minorities were significantly less likely to be eligible for screening yet had higher odds of developing dysglycemia than whites (odds ratio [95% CI]: Blacks 1.24 [1.09-1.40]; Hispanics 1.46 [1.30-1.64]; and Other 1.33 [1.16-1.54]). In addition, the screening criteria had lower sensitivity in all racial/ethnic minority groups compared to whites. Limitations of this study include the ascertainment of dysglycemia only among patients with available test results and findings that may not be generalizable at the population level. CONCLUSIONS: Targeted diabetes screening based on new USPSTF criteria may detect approximately half of adult community health center patients with undiagnosed dysglycemia and proportionately fewer racial/ethnic minorities than whites. Future research is needed to estimate the performance of these screening criteria in population-based samples.

Diagnostic colonoscopy following a positive fecal occult blood test in community health center patients.

PURPOSE: Fecal occult blood testing (FOBT) is a pragmatic screening option for many community health centers (CHCs), but FOBT screening programs will not reduce mortality if patients with positive results do not undergo diagnostic colonoscopy (DC). This study was conducted to investigate DC completion among CHC patients. METHODS: This retrospective cohort study used data from three CHCs in the Midwest and Southwest. The primary study outcome was DC completion within 6 months of positive FOBT among adults age 50-75. Patient data was collected using automated electronic queries. Manual chart reviews were conducted if queries produced no evidence of DC. Poisson regression models described adjusted relative risks (RRs) of DC completion. RESULTS: The study included 308 patients; 63.3 % were female, 48.7 % were Spanish speakers and 35.7 % were uninsured. Based on combined query and chart review findings, 51.5 % completed DC. Spanish speakers were more likely than English speakers to complete DC [RR 1.19; 95 % confidence interval (CI) 1.04-1.36; P = 0.009], and DC completion was lower among patients with 0 visits than those with 1-2 visits (RR 2.81; 95% CI 1.83-4.33; P < 0.001) or ≥3 visits (RR 3.06; 95% CI 1.57-5.95; P = 0.001). CONCLUSIONS: DC completion was low overall, which raises concerns about whether FOBT can reduce CRC mortality in practice. Further research is needed to understand whether CHC navigator programs can achieve very high DC rates. If organizations use FOBT as their primary CRC screening approach and a substantial number of patients receive positive results, both screening rates and DC rates should be measured.

Study protocol for a longitudinal observational study of disparities in sleep and cognition in older adults: the DISCO study.

INTRODUCTION: Cognitive dysfunction, a leading cause of mortality and morbidity in the USA and globally, has been shown to disproportionately affect the socioeconomically disadvantaged and those who identify as black or Hispanic/Latinx. Poor sleep is strongly associated with the development of vascular and metabolic diseases, which correlate with cognitive dysfunction. Therefore, sleep may contribute to observed disparities in cognitive disorders. The Epidemiologic Study of Disparities in Sleep and Cognition in Older Adults (DISCO) is a longitudinal, observational cohort study that focuses on gathering data to better understand racial/ethnic sleep disparities and illuminate the relationship among sleep, race and ethnicity and changes in cognitive function. This investigation may help inform targeted interventions to minimise disparities in cognitive health among ageing adults. METHODS AND ANALYSIS: The DISCO study will examine up to 495 individuals aged 55 and older at two time points over 24 months. An equal number of black, white and Hispanic/Latinx individuals will be recruited using methods aimed for adults traditionally under-represented in research. Study procedures at each time point will include cognitive tests, gait speed measurement, wrist actigraphy, a type 2 home polysomnography and a clinical examination. Participants will also complete self-identified assessments and questionnaires on cognitive ability, sleep, medication use, quality of life, sociodemographic characteristics, diet, substance use, and psychological and social health. ETHICS AND DISSEMINATION: This study was approved by the Northwestern University Feinberg School of Medicine Institutional Review Board. Deidentified datasets will be shared via the BioLINCC repository following the completion of the project. Biospecimen samples from the study that are not being analysed can be made available to qualified investigators on review and approval by study investigators. Requests that do not lead to participant burden or that conflict with the primary aims of the study will be reviewed by the study investigators.

An EHR-automated and theory-based population health management intervention for smoking cessation in diverse low-income patients of safety-net health centers: a pilot randomized controlled trial.

This study tested the preliminary effectiveness of an electronic health record (EHR)-automated population health management (PHM) intervention for smoking cessation among adult patients of a federally qualified health center in Chicago. Participants (N = 190; 64.7% women, 82.1% African American/Black, 8.4% Hispanic/Latino) were self-identified as smokers, as documented in the EHR, who completed the baseline survey of a longitudinal "needs assessment of health behaviors to strengthen health programs and services." Four weeks later, participants were randomly assigned to the PHM intervention (N = 97) or enhanced usual care (EUC; N = 93). PHM participants were mailed a single-page self-determination theory (SDT)-informed letter that encouraged smoking cessation or reduction as an initial step. The letter also addressed low health literacy and low income. PHM participants also received automated text messages on days 1, 5, 8, 11, and 20 after the mailed letter. Two weeks after mailing, participants were called by the Illinois Tobacco Quitline. EUC participants were e-referred following a usual practice. Participants reached by the quitline were offered behavioral counseling and nicotine replacement therapy. Outcome assessments were conducted at weeks 6, 14, and 28 after the mailed letter. Primary outcomes were treatment engagement, utilization, and self-reported smoking cessation. In the PHM arm, 25.8% of participants engaged in treatment, 21.6% used treatment, and 16.3% were abstinent at 28 weeks. This contrasts with no quitline engagement among EUC participants, and a 6.4% abstinence rate. A PHM approach that can reach all patients who smoke and address unique barriers for low-income individuals may be a critical supplement to clinic-based care.

Systematic Patient Navigation Strategies to Scale Breast Cancer Disparity Reduction by Improved Cancer Prevention and Care Delivery Processes.

PURPOSE: Patient navigation uses trained personnel to eliminate barriers to timely care across all phases of the health care continuum, thereby reducing health disparities. However, patient navigation has yet to be systematized in implementation models to improve processes of care at scale rather than remain a band-aid approach focused solely on improving care for the individual patient. The 4R systems engineering approach (right information and right treatment to the right patient at the right time) uses project management discipline principles to develop care sequence templates that serve as patient-centered project plans guiding patients and their care team. METHODS: A case-study approach focused on the underserved patient shows how facilitators to timely breast cancer screening and care pragmatically identified as emergent data by patient navigators can be actionized by iteratively revising 4R care sequence templates to incorporate new insights as they emerge. RESULTS: Using a case study of breast cancer screening of a low-income patient, we illustrate how 4R care sequence templates can be revised to incorporate emergent facilitators to care identified through patient navigation. CONCLUSION: Use of care sequence templates can inform the care team to optimize a particular patient's care, while functioning as a learning health care system for process improvement of patient care and patient navigation scaling. A learning health care system approach that systematically integrates data patterns emerging from multiple patient navigation experiences through in-person navigators and 4R care sequence templates may improve processes of care and allow patient navigation scaling to reduce cancer disparities.

Erratum: Bridging the gap between research, policy, and practice: Lessons learned from academic-public partnerships in the CTSA network - CORRIGENDUM.

[This corrects the article DOI: 10.1017/cts.2020.23.].

Asthma 1-2-3: a low literacy multimedia tool to educate African American adults about asthma.

Asthma 1-2-3 is a newly-developed low-literacy multimedia education tool designed to promote asthma self-care concepts among African American adults. An expert panel (n = 10) informed content development for the tool. The video script and storyboard imagery were shown to 30 African Americans recruited from the American Lung Association, whose reactions and comments guided further revisions. The final version was pilot tested in three diverse community settings in Chicago to determine the efficacy of Asthma 1-2-3 at improving patient understanding of asthma and its symptoms. In all, 130 adults participated in the pilot test. Knowledge scores significantly improved from pretest to posttest following presentation of the developed tool for subjects across all literacy levels (Pretest: Mean = 4.2 [SD = 1.6]; Posttest: M = 6.8 [SD = 2.0], P < 0.001). Symptom pathophysiology concepts were the least understood. Individuals with low literacy had less total knowledge score gains compared to those with marginal and adequate literacy (1.8, 2.6, and 3.2 respectively; P = 0.002). The multimedia tool significantly improved understanding of asthma. Individuals with limited literacy may require additional instruction, repeated viewing, or added tangible cues (i.e. supplementary print materials) to support knowledge retention. In general, feedback from the target population was particularly helpful in the development of the tool and its initial evaluation, and should be considered as a necessary step in the creation of other patient education materials.

Pediatric Hypertension: Provider Perspectives.

Pediatric hypertension is a risk for adult cardiovascular disease, making early detection important. The prevalence of pediatric essential hypertension is rising due to the increased prevalence of obesity. Though guidelines for screening, diagnosis, evaluation, and management are available, there are barriers to accurate diagnosis of pediatric hypertension, including lack of knowledge and complexity of blood pressure standards. We aimed to gain insights into reasons for low rates of diagnosis and treatment from primary care providers. As part of a multisite randomized controlled trial, we interviewed 8 providers in a community health center network. We used a grounded theoretical approach to analyze transcripts. Providers reflected on numerous barriers to diagnosis, management, and follow-up; recommendations for educational content; and how community health center systems can be improved. Findings informed development of a multifaceted intervention. Despite lack of training on essential hypertension, providers were comfortable recommending lifestyle changes to promote healthier weight and reduced blood pressure.

Implications of American College of Cardiology/American Heart Association (ACC/AHA) Cholesterol Guidelines on Statin Underutilization for Prevention of Cardiovascular Disease in Diabetes Mellitus Among Several US Networks of Community Health Centers.

BACKGROUND: Little is known about statin underutilization among diabetes mellitus patients cared for in community health centers, which tend to serve socioeconomically disadvantaged populations. Implications of the American College of Cardiology/American Heart Association (ACC/AHA) guidelines on preexisting gaps in statin treatment in this population are unclear. METHODS AND RESULTS: We included 32 440 adults (45% male, 63% nonwhite, 29% uninsured/Medicaid) aged 40 to 75 years with diabetes mellitus who received care within 16 community health center groups in 11 states in the Community Health Applied Research Network during 2013. Statin prescribing was analyzed as a function of concordance with the National Cholesterol Education Program Adult Treatment Panel 2001 and ACC/AHA 2013 guidelines. More patients' treatments were concordant with the ACC/AHA (52.8%) versus the National Cholesterol Education Program Adult Treatment Panel (36.2%) guideline. Female sex was associated with lower concordance for both (odds ratio [OR] 0.90, CI 0.85-0.94; and OR 0.84, CI 0.80-0.88, respectively). Being insured, an Asian/Pacific Islander, or primarily Spanish speaking were associated with greater concordance for both guidelines: 35.5% (11 526/32 440) were concordant with neither guideline, the majority (79.7%) having no statin prescribed; 28.2% (9168/32 440) were concordant with ACC/AHA but not the National Cholesterol Education Program Adult Treatment Panel. 8.7% of these patients had a low-density lipoprotein cholesterol >160 mg/dL despite having a moderate- or high-intensity statin prescribed. And 11.6% (3772/32 440) were concordant with the National Cholesterol Education Program Adult Treatment Panel but not with ACC/AHA. Most of these patients had a low-density lipoprotein cholesterol between 70 and 99 mg/dL with no or a low-intensity statin prescribed. CONCLUSIONS: Opportunities exist to improve cholesterol management in diabetes mellitus patients in community health centers. Addressing care gaps could improve cardiovascular disease prevention in this high-risk population.

Colorectal Cancer Screening Rates at Community Health Centers that Use Electronic Health Records: A Cross Sectional Study.

BACKGROUND: This study was conducted to validate use of electronic health record (EHR) data for measuring colorectal cancer (CRC) screening rates at community health centers (CHCs). METHODS: Electronic health records were queried to assess screening via colonoscopy, flexible sigmoidoscopy, or fecal occult blood testing (FOBT) in 2011. RESULTS: Multiple iterations were required to maximize query accuracy. Manual chart reviews, stratified by screening modality, confirmed query results for 112 of 113 (99.1%) reviewed colonoscopies, 110 of 110 (100%) reviewed FOBTs, and 111 of 120 (92.5%) unscreened patients. At participating CHCs, CRC screening rates ranged from 9.7% to 67.2% (median, 30.6%). Adherence to annual FOBT ranged from 3.3% to 59.0% (median, 18.6%). Most screening was done by colonoscopy. CONCLUSIONS: Colorectal cancer screening varies substantially across CHCs. Electronic health record data can validly measure CRC screening, but repeated assessments of programming accuracy are required. Community health centers may need support to measure quality using EHR data and increase screening.