Patients' and Clinicians' Experiences with In-person, Video, and Phone Modalities for Opioid Use Disorder Treatment: A Qualitative Study.

BACKGROUND: Opioid use disorder (OUD) is a chronic condition that requires regular visits and care continuity. Telehealth implementation has created multiple visit modalities for OUD care. There is limited knowledge of patients' and clinicians' perceptions and experiences related to multi-modality care and when different modalities might be best employed. OBJECTIVE: To identify patients' and clinicians' experiences with multiple visit modalities for OUD treatment in primary care. DESIGN: Comparative case study, using video- and telephone-based semi-structured interviews. PARTICIPANTS: Patients being treated for OUD (n = 19) and clinicians who provided OUD care (n = 15) from two primary care clinics within the same healthcare system. APPROACH: Using an inductive approach, interviews were analyzed to identify patients' and clinicians' experiences with receiving/delivering OUD care via different visit modalities. Clinicians' and patients' experiences were compared using a group analytical process. KEY RESULTS: Patients and clinicians valued having multiple modalities available for care, with flexibility identified as a key benefit. Patients highlighted the decreased burden of travel and less social anxiety with telehealth visits. Similarly, clinicians reported that telehealth decreased medical intrusion into the lives of patients stable in recovery. Patients and clinicians saw the value of in-person visits when establishing care and for patients needing additional support. In-person visits allowed the ability to conduct urine drug testing, and to foster relationships and trust building, which were more difficult, but not impossible via a telehealth visit. Patients preferred telephone over video visits, as these were more private and more convenient. Clinicians identified benefits of video, including being able to both hear and see the patient, but often deferred to patient preference. CONCLUSIONS: Considerations for utilization of visit modalities for OUD care were identified based on patients' needs and preferences, which often changed over the course of treatment. Continued research is needed determine how visit modalities impact patient outcomes.

Association of Early Childhood Wheeze and Asthma Diagnosis Documentation by Race, Ethnicity, and Language in Children.

OBJECTIVE: To determine whether electronic health record (EHR) documentation of certain early childhood risk factors for asthma, such as wheeze differ by race, ethnicity, and language group, and whether these children have different subsequent asthma prevalences. METHODS: We used EHR data from the Accelerating Data Value Across a National Community Health Center (ADVANCE) Clinical Research Network from children receiving care in US community health centers (n = 71,259 children) across 21 states to examine the presence of ICD-coded documentation of early childhood wheeze and its association with subsequent asthma diagnosis documentation in the EHR by race/ethnicity/language. RESULTS: ICD-coded wheeze was present in 2 to 3% of each race/ethnicity/language group. Among the total sample, 18.5% had asthma diagnosed after age 4. The adjusted prevalence of subsequent asthma diagnosis was greater in children with wheeze than those without. Odds of asthma diagnosis did not differ among children in all race/ethnicity/language groups with early childhood wheeze. Non-Latino Black children without wheeze had higher odds of asthma (OR = 1.19, 95% CI = 1.08-1.32) compared with non-Latino White children without wheeze. DISCUSSION: In US community health centers which serve medically underserved populations, EHR documentation of early childhood wheeze was uncommon and did not differ significantly among race/ethnicity/language groups. Differences in asthma diagnosis in Latinos may not stem from differences in early-life wheeze documentation. However, our findings suggest that there may be opportunities for improvement in early asthma symptom recognition for non-Latino Black children, especially in those without early childhood wheeze.

Usability and feasibility of a take-home methadone web-application for opioid treatment program patients: A Small Business Innovation Research mixed methods study.

BACKGROUND: Most patients in opioid treatment programs (OTPs) attend daily for observed dosing. A Stage IA (create and adapt) and a Stage IB (feasibility and pilot) mixed method studies tested a web-application (app) designed to facilitate access to take-home methadone. METHODS: A Stage IA, intervention development study, used qualitative interviews to assess the usability (ease of use) and feasibility (ability to implement) of a take-home methadone app. The Stage IA market research was a two-week test with 96 patient participants from four OTPs. Qualitative interviews were completed with 20 systematically selected individuals who used the take-home app and 20 OTP clinicians (five each from the four OTPs). The Stage IB Small Business Innovation Research (SBIR) study (24 patients and 8 clinicians in a single OTP) included quantitative assessments of the app's usability, acceptability, appropriateness, and feasibility. Thematic analysis coded participant and staff assessments of the take-home app. RESULTS: Stage IA patients (mean age = 41 years; 52 % men, 57 % White) and IB patients (mean age = 38 years, 54 % men, 79 % White) described the app as "easy to use." Compared to unsupervised take-homes, some patients preferred using the take-home app. In Stage IB, patients rated the app highly on standardized measures of usability, acceptability, appropriateness, and feasibility. Clinician ratings were more ambivalent. Patients rated in-clinic dosing as more disruptive than unsupervised take-homes and take-homes using the app. DISCUSSION: A Stage IA study informed the development and maturation of a Stage IB feasibility pilot study. Overall, the take-home app's usability, acceptability, appropriateness, and feasibility were rated positively. Clinical staff ratings were less positive, but individuals commented that using the app a) enhanced patient quality of life, b) provided new tools for counselors, and c) offered competitive advantages. The SBIR award enhanced market research with more complete and systematic data collection and analysis.

Association of initial opioid prescription duration and an opioid refill by pain diagnosis: Evidence from outpatient settings in ten US health systems.

OBJECTIVE: The Centers for Disease Control and Prevention's 2022 Clinical Practice Guideline for Prescribing Opioids for Pain cautioned that inflexible opioid prescription duration limits may harm patients. Information about the relationship between initial opioid prescription duration and a subsequent refill could inform prescribing policies and practices to optimize patient outcomes. We assessed the association between initial opioid duration and an opioid refill prescription. METHODS: We conducted a retrospective cohort study of adults ≥19 years of age in 10 US health systems between 2013 and 2018 from outpatient care with a diagnosis for back pain without radiculopathy, back pain with radiculopathy, neck pain, joint pain, tendonitis/bursitis, mild musculoskeletal pain, severe musculoskeletal pain, urinary calculus, or headache. Generalized additive models were used to estimate the association between opioid days' supply and a refill prescription. RESULTS: Overall, 220,797 patients were prescribed opioid analgesics upon an outpatient visit for pain. Nearly a quarter (23.5%) of the cohort received an opioid refill prescription during follow-up. The likelihood of a refill generally increased with initial duration for most pain diagnoses. About 1 to 3 fewer patients would receive a refill within 3 months for every 100 patients initially prescribed 3 vs. 7 days of opioids for most pain diagnoses. The lowest likelihood of refill was for a 1-day supply for all pain diagnoses, except for severe musculoskeletal pain (9 days' supply) and headache (3-4 days' supply). CONCLUSIONS: Long-term prescription opioid use increased modestly with initial opioid prescription duration for most but not all pain diagnoses examined.

"It Is A Carrot-Stick Model": A Qualitative Study of Rural-Serving Clinician and Rural-Residing Veteran Perceptions of Requirements to Quit Smoking prior to Elective Surgery.

Introduction: Some medical centers and surgeons require patients to stop smoking cigarettes prior to elective orthopaedic surgeries in an effort to decrease surgical complications. Given higher rates of smoking among rural individuals, rural patients may be disproportionately impacted by these requirements. We assessed the perceptions and experiences of rural-residing Veterans and clinicians related to this requirement. Methods: We conducted qualitative semistructured one-on-one interviews of 26 rural-residing veterans, 10 VA orthopaedic surgery staff (from two Veterans Integrated Services Networks), 24 PCPs who serve rural veterans (14 VA; 10 non-VA), and 4 VA pharmacists. Using the knowledge, attitudes, and behavior framework, we performed conventional content analysis. Results: We found three primary themes across respondents: (1) knowledge of and the evidence base for the requirement varied widely; (2) strong personal attitudes toward the requirement; and (3) implementation and possible implications of this requirement. All surgery staff reported knowledge of requirements at their institution. VA PCPs reported knowledge of requirements but typically could not recall specifics. Most patients were unaware. The majority of respondents felt this requirement could increase motivation to quit smoking. Some PCPs felt a more thorough explanation of smoking-related complications would result in increased quit attempts. About half of all patients reported belief that the requirement was reasonable regardless of initial awareness. Respondents expressed little concern that the requirement might increase rural-urban disparities. Most PCPs and patients felt that there should be exceptions for allowing surgery, while surgical staff disagreed. Discussion. Most respondents thought elective surgery was a good motivator to quit smoking; but patients, PCPs, and surgical staff differed on whether there should be exceptions to the requirement that patients quit preoperatively. Future efforts to augment perioperative smoking cessation may benefit from improving coordination across services and educating patients more about the benefits of quitting.

Analgesic methadone prescribing in community health centers among patients with chronic pain.

OBJECTIVE: To examine analgesic methadone prescriptions among community health center (CHC) patients with chronic pain. DESIGN: Observational; two cross-sectional periods. SETTING: Oregon and California CHCs. PATIENTS: Chronic pain patients with ≥1 visit in 2012-2013 or 2017-2018 (N = 158,239). OUTCOMES: Changes in adjusted relative rates (aRRs) of receiving no opioids, short-acting only, long-acting only other than methadone, and methadone; characteristics associated with ≥1 methadone prescription. RESULTS: Opioid prescribing declined over time, with the largest decrease in methadone (aRR = 0.19, 95 percent confidence interval: 0.14-0.27). Among patients receiving ≥1 long-acting opioid, variables associated with methadone prescribing included being aged <65 years, having nonprivate insurance, and an opioid use disorder (OUD) diagnosis. From 2012-2013 to 2017-2018, aRR increased among patients with OUD and decreased for those aged 18-30 (vs ≥65), uninsured and Medicaid-insured (vs private), and race/ethnicity other than non-Hispanic Black (vs non-Hispanic White). CONCLUSIONS: Methadone prescribing decreased in CHCs but remained elevated for several high-risk demographic groups.

Prescription Opioid Dose Reductions and Potential Adverse Events: a Multi-site Observational Cohort Study in Diverse US Health Systems.

BACKGROUND: In response to the opioid crisis in the United States, population-level prescribing of opioids has been decreasing; there are concerns, however, that dose reductions are related to potential adverse events. OBJECTIVE: Examine associations between opioid dose reductions and risk of 1-month potential adverse events (emergency department (ED) visits, opioid overdose, benzodiazepine prescription fill, all-cause mortality). DESIGN: This observational cohort study used electronic health record and claims data from eight United States health systems in a prescription opioid registry (Clinical Trials Network-0084). All opioid fills (excluding buprenorphine) between 1/1/2012 and 12/31/2018 were used to identify baseline periods with mean morphine milligram equivalents daily dose of  ≥ 50 during six consecutive months. PATIENTS: We identified 60,040 non-cancer patients with  ≥ one 2-month dose reduction period (600,234 unique dose reduction periods). MAIN MEASURES: Analyses examined associations between dose reduction levels (1- < 15%, 15- < 30%, 30- < 100%, 100% over 2 months) and potential adverse events in the month following a dose reduction using logistic regression analysis, adjusting for patient characteristics. KEY RESULTS: Overall, dose reduction periods involved mean reductions of 18.7%. Compared to reductions of 1- < 15%, dose reductions of 30- < 100% were associated with higher odds of ED visits (OR 1.14, 95% CI 1.10, 1.17), opioid overdose (OR 1.41, 95% CI 1.09-1.81), and all-cause mortality (OR 1.39, 95% CI 1.16-1.67), but lower odds of a benzodiazepine fill (OR 0.83, 95% CI 0.81-0.85). Dose reductions of 15- < 30%, compared to 1- < 15%, were associated with higher odds of ED visits (OR 1.08, 95% CI 1.05-1.11) and lower odds of a benzodiazepine fill (OR 0.93, 95% CI 0.92-0.95), but were not associated with opioid overdose and all-cause mortality. CONCLUSIONS: Larger reductions for patients on opioid therapy may raise risk of potential adverse events in the month after reduction and should be carefully monitored.

Screening for Hepatitis C Among Community Health Center Patients by Ethnicity and Language Preference.

Introduction: Hepatitis C virus is associated with high morbidity and mortality-chronic liver disease is a leading cause of death among Latinos in the U.S. Screening for hepatitis C virus in community health center settings, which serve a disproportionate percentage of Latinos, is essential to eradicating hepatitis C virus infection. We assessed hepatitis C virus screening disparities in adults served by community health centers by ethnicity and language preference. Methods: This was an observational cohort study (spanning 2013-2017) of adults born in 1945-1965 in the Accelerating Data Value Across a National Community Health Center Network electronic health record data set. Our exposure of interest was race/ethnicity and language preference (non-Hispanic White, Latino English preferred, Latino Spanish preferred). Our primary outcome was the relative hazard of hepatitis C virus screening, estimated using multivariate Cox proportional hazards regression. Results: A total of 182,002 patients met the study criteria and included 60% non-Hispanic Whites, 29% Latino Spanish preferred, and 11% Latino English preferred. In total, 9% received hepatitis C virus screening, and 2.4% were diagnosed with hepatitis C virus. Latino English-preferred patients had lower rates of screening than both non-Hispanic Whites and Latino Spanish preferred (5.5% vs 9.4% vs 9.6%, respectively). Latino English preferred had lower hazards of hepatitis C virus screening than non-Hispanic Whites (adjusted hazard ratio=0.56, 95% CI=0.44, 0.72), and Latino Spanish preferred had similar hazards of hepatitis C virus screening (adjusted hazard ratio=1.11, 95% CI=0.88, 1.41). Conclusions: We found that in a large community health center network, adult Latinos who preferred English had lower hazards of hepatitis C virus screening than non-Hispanic Whites, whereas Latinos who preferred Spanish had hazards of screening similar to those of non-Hispanic Whites. The overall prevalence of hepatitis C virus screening was low. Further work on the role of language preference in hepatitis C virus screening is needed to better equip primary care providers to provide this recommended preventive service in culturally relevant ways.

Comparison of associations of household-level and neighbourhood-level poverty markers with paediatric asthma care utilisation by race/ethnicity in an open cohort of community health centre patients.

OBJECTIVE: The objective of this research was to examine how different measurements of poverty (household-level and neighborhood-level) were associated with asthma care utilisation outcomes in a community health centre setting among Latino, non-Latino black and non-Latino white children. DESIGN, SETTING AND PARTICIPANTS: We used 2012-2017 electronic health record data of an open cohort of children aged <18 years with asthma from the OCHIN, Inc. network. Independent variables included household-level and neighborhood-level poverty using income as a percent of federal poverty level (FPL). Covariate-adjusted generalised estimating equations logistic and negative binomial regression were used to model three outcomes: (1) ≥2 asthma visits/year, (2) albuterol prescription orders and (3) prescription of inhaled corticosteroids over the total study period. RESULTS: The full sample (n=30 196) was 46% Latino, 26% non-Latino black, 31% aged 6-10 years at first clinic visit. Most patients had household FPL <100% (78%), yet more than half lived in a neighbourhood with >200% FPL (55%). Overall, neighbourhood poverty (<100% FPL) was associated with more asthma visits (covariate-adjusted OR 1.26, 95% CI 1.12 to 1.41), and living in a low-income neighbourhood (≥100% to <200% FPL) was associated with more albuterol prescriptions (covariate-adjusted rate ratio 1.07, 95% CI 1.02 to 1.13). When stratified by race/ethnicity, we saw differences in both directions in associations of household/neighbourhood income and care outcomes between groups. CONCLUSIONS: This study enhances understanding of measurements of race/ethnicity differences in asthma care utilisation by income, revealing different associations of living in low-income neighbourhoods and households for Latino, non-Latino white and non-Latino black children with asthma. This implies that markers of family and community poverty may both need to be considered when evaluating the association between economic status and healthcare utilisation. Tools to measure both kinds of poverty (family and community) may already exist within clinics, and can both be used to better tailor asthma care and reduce disparities in primary care safety net settings.

Use of Telehealth for Opioid Use Disorder Treatment in Safety Net Primary Care Settings: A Mixed-Methods Study.

Background: The COVID-19 pandemic resulted in a marked increase in telehealth for the provision of primary care-based opioid use disorder (OUD) treatment. This mixed methods study examines characteristics associated with having the majority of OUD-related visits via telehealth versus in-person, and changes in mode of delivery (in-person, telephone, video) over time. Methods: Logistic regression was performed using electronic health record data from patients with ≥1 visit with an OUD diagnosis to ≥1 of the two study clinics (Rural Health Clinic; urban Federally Qualified Health Center) and ≥1 OUD medication ordered from 3/8/2020-9/1/2021, with >50% of OUD visits via telehealth (vs. >50% in-person) as the dependent variable and patient characteristics as independent variables. Changes in visit type over time were also examined. Inductive coding was used to analyze data from interviews with clinical team members (n = 10) who provide OUD care to understand decision-making around visit type. Results: New patients (vs. returning; OR = 0.47;95%CI:0.27-0.83), those with ≥1 psychiatric diagnosis (vs. none; OR = 0.49,95%CI:0.29-0.82), and rural clinic patients (vs. urban; OR = 0.05; 95%CI:0.03-0.08) had lower odds of having the majority of visits via telehealth than in-person. Patterns of visit type varied over time by clinic, with the majority of telehealth visits delivered via telephone. Team members described flexibility for patients as a key telehealth benefit, but described in-person visits as more conducive to building rapport with new patients and those with increased psychological burden. Conclusion: Understanding how and why telehealth is used for OUD treatment is critical for ensuring access to care and informing OUD-related policy decisions.

A Qualitative Examination of Tobacco Use and Smoking Cessation Among Gender Minority Adults.

BACKGROUND: Despite the elevated prevalence of smoking among gender minority adults, little is known about the factors that influence their tobacco use and cessation. PURPOSE: We identified and examined factors that influence tobacco use and cessation for gender minority adults, using a conceptual framework based on the Model of Gender Affirmation and Gender Minority Stress Model. METHODS: Nineteen qualitative, semi-structured in-depth interviews were conducted with gender minority adults who smoke or no longer smoke and were recruited from the Portland, OR metropolitan area. Interviews were audio-recorded, professionally transcribed, and analyzed utilizing thematic analysis. RESULTS: Four main themes were generated. Gender minority adults smoke to cope with general and gender minority-specific stressors. Smoking was described as a social behavior that was influenced and sustained by community and interpersonal relationships. Smoking cessation was motivated by health concerns (both general and gender minority-specific) and moderated by conducive life circumstances. Recommendations for tobacco cessation interventions highlighted the importance and role of social support. Participants expressed a strong desire for gender minority-specific tobacco cessation programs. There are unique and complex factors that contribute to the higher prevalence of smoking observed among gender minority adults. CONCLUSIONS: Tobacco cessation interventions are urgently needed for this population and should be tailored to address the unique factors that impact tobacco use and cessation among gender minority people to increase the likelihood of success.

Tobacco use is the leading cause of preventable death in the U.S. Smoking rates among gender minority people (people whose gender identity and/or gender expression do not align with the cultural expectations of their sex assigned at birth) are higher than in the general population. As a result, for developing smoking cessation interventions, it is important to understand what influences tobacco use and cessation among gender minority adults; however, little is known about these specific influencing factors. By conducting 19 interviews with gender minority adults who smoke or no longer smoke, we found gender minority adults smoke to cope with general and gender minority-specific stressors. In addition, smoking was described as a social behavior that was influenced and sustained by community and interpersonal relationships. Furthermore, smoking cessation was motivated by health concerns (both general and gender minority-specific) and moderated by conducive life circumstances. In sum, to encourage tobacco cessation, these findings suggest interventions across multiple contexts. Gender-affirming smoking cessation programs may prove more acceptable, satisfactory, and successful when (a) tailored to gender minority persons' needs, motivators, and experienced barriers and (b) aligned with significant and meaningful life changes, such as gender-affirming hormone therapy and surgery.

The Association of Mobility, Social Deprivation, and Pediatric Primary Care Outcomes in Community Health Centers.

OBJECTIVE: To examine how social deprivation and residential mobility are associated with primary care use in children seeking care at community health centers (CHCs) overall and stratified by race and ethnicity. STUDY DESIGN: We used electronic health record open cohort data from 152 896 children receiving care from 15 U S CHCs belonging to the OCHIN network. Patients were aged 3-17 years, with ≥2 primary care visits during 2012-2017 and had geocoded address data. We used negative binomial regression to calculate adjusted rates of primary care encounters and influenza vaccinations relative to neighborhood-level social deprivation. RESULTS: Higher rates of clinic utilization were observed for children who always lived in highly deprived neighborhoods (RR = 1.11, 95% CI = 1.05-1.17) and those who moved from low-to-high deprivation neighborhoods (RR = 1.05, 95% CI = 1.01-1.09) experienced higher rates of CHC encounters compared with children who always lived in the low-deprivation neighborhoods. This trend was similar for influenza vaccinations. When analyses were stratified by race and ethnicity, we found these relationships were similar for Latino children and non-Latino White children who always lived in highly deprived neighborhoods. Residential mobility was associated with lower rates of primary care. CONCLUSIONS: These findings suggest that children living in or moving to neighborhoods with high levels of social deprivation used more primary care CHC services than children who lived in areas with low deprivation, but moving itself was associated with less care. Clinician and delivery system awareness of patient mobility and its impacts are important to addressing equity in primary care.

Chronic overlapping pain conditions and long-term opioid treatment.

OBJECTIVES: One in 5 people in the United States lives with chronic pain. Many patients with chronic pain experience a subset of specific co-occurring pain conditions that may share a common pain mechanism and that have been designated as chronic overlapping pain conditions (COPCs). Little is known about chronic opioid prescribing patterns among patients with COPCs in primary care settings, especially among socioeconomically vulnerable patients. This study aims to evaluate opioid prescribing among patients with COPCs in US community health centers and to identify individual COPCs and their combinations that are associated with long-term opioid treatment (LOT). STUDY DESIGN: Retrospective cohort study. METHODS: We conducted analyses of more than 1 million patients 18 years and older based on electronic health record data from 449 US community health centers across 17 states between January 1, 2009, and December 31, 2018. Logistic regression models were used to assess the relationship between COPCs and LOT. RESULTS: Individuals with COPCs were prescribed LOT 4 times more often than individuals without a COPC (16.9% vs 4.0%). The presence of chronic low back pain, migraine headache, fibromyalgia, or irritable bowel syndrome combined with any of the other COPCs increased the odds of LOT prescribing compared with the presence of a single COPC. CONCLUSIONS: Although LOT prescribing has declined over time, it remains relatively high among patients with certain COPCs and for those with multiple COPCs. These study findings suggest target populations for future interventions to manage chronic pain among socioeconomically vulnerable patients.

Associations Between High Pain Catastrophizing and Opioid-Related Awareness and Beliefs Among Patients in Primary Care.

BACKGROUND: Limited studies are available on patients' perspectives regarding opioid-related awareness, beliefs, and pain management in primary care settings in the US. Pain catastrophizing (PC) is a cascade of negative thoughts and emotions in response to actual or anticipated pain. High PC is 1 of the strongest predictors of negative pain outcomes. METHOD: A cross-sectional survey was administered at Family Medicine clinics in the Pacific Northwest, November 2018-January 2019. Logistic regression was used to model the adjusted odds of participants' awareness and beliefs on opioid epidemic issues, side effects/risks, and general beliefs by opioid prescription expectations and PC. RESULTS: 108 participants completed the survey. Compared with participants with low PC, high PC participants were 74% less likely to be aware of opioid epidemic issues (OR = 0.26, P = .005, 95% CI:0.10-0.67), 62% less likely to be aware of opioid side effects/risks (OR = 0.38 P = .040, 95% CI: 0.15-0.96) and had 2.4 times increased odds of holding more positive beliefs about opioids and/or stronger beliefs regarding pain control, yet the latter did not reach statistical significance (OR = 2.40 P = .083, 95% CI: 0.89-6.47). CONCLUSION: Significant gaps existed among our participants with high PC in their awareness of opioid epidemic issues and side effects/risks compared with their low PC counterparts. They may also carry positive beliefs regarding opioids and pain-control in general. In any pain care, it seems important to identify patients with high pain catastrophizing. Doing so may facilitates exploration of their beliefs and expectations regarding pain management and aids in tailoring individualized treatment and prevent adverse side effects.

Disaggregating Latino nativity in equity research using electronic health records.

OBJECTIVE: To develop and validate prediction models for inference of Latino nativity to advance health equity research. DATA SOURCES/STUDY SETTING: This study used electronic health records (EHRs) from 19,985 Latino children with self-reported country of birth seeking care from January 1, 2012 to December 31, 2018 at 456 community health centers (CHCs) across 15 states along with census-tract geocoded neighborhood composition and surname data. STUDY DESIGN: We constructed and evaluated the performance of prediction models within a broad machine learning framework (Super Learner) for the estimation of Latino nativity. Outcomes included binary indicators denoting nativity (US vs. foreign-born) and Latino country of birth (Mexican, Cuban, Guatemalan). The performance of these models was compared using the area under the receiver operating characteristics curve (AUC) from an externally withheld patient sample. DATA COLLECTION/EXTRACTION METHODS: Census surname lists, census neighborhood composition, and Forebears administrative data were linked to EHR data. PRINCIPAL FINDINGS: Of the 19,985 Latino patients, 10.7% reported a non-US country of birth (5.1% Mexican, 4.7% Guatemalan, 0.8% Cuban). Overall, prediction models for nativity showed outstanding performance with external validation (US-born vs. foreign: AUC = 0.90; Mexican vs. non-Mexican: AUC = 0.89; Guatemalan vs. non-Guatemalan: AUC = 0.95; Cuban vs. non-Cuban: AUC = 0.99). CONCLUSIONS: Among challenges facing health equity researchers in health services is the absence of methods for data disaggregation, and the specific ability to determine Latino country of birth (nativity) to inform disparities. Recent interest in more robust health equity research has called attention to the importance of data disaggregation. In a multistate network of CHCs using multilevel inputs from EHR data linked to surname and community data, we developed and validated novel prediction models for the use of available EHR data to infer Latino nativity for health disparities research in primary care and health services research, which is a significant potential methodologic advance in studying this population.

Impact of COVID-19 Pandemic on Assessing Tobacco Status in Community Health Centers.

Few have studied the COVID-19 pandemic's impact on tobacco use status assessment and cessation counseling. Electronic health record data from 217 primary care clinics were examined from January 1, 2019 to July 31, 2021. Data included telehealth and in-person visits for 759,138 adult patients (aged ≥18 years). Monthly rates of tobacco assessment per 1,000 patients were calculated. From March 2020 to May 2020, tobacco assessment monthly rates declined by 50% and increased from June 2020 to May 2021 but remained 33.5% lower than pre-pandemic levels. Rates of tobacco cessation assistance changed less, but remain low. These findings are significant given the relevance of tobacco use to increased severity of COVID-19.

Sedative-hypnotic Co-prescribing with Opioids in a Large Network of Community Health Centers.

OBJECTIVE: When prescribed with opioids, sedative-hypnotics substantially increase the risk of overdose. The objective of this paper was to describe characteristics and trends in opioid sedative-hypnotic co-prescribing in a network of safety-net clinics serving low-income, publicly insured, and uninsured individuals. METHODS: This retrospective longitudinal analysis of prescription orders examined opioid sedative-hypnotic co-prescribing rates between 2009 and 2018 in the OCHIN network of safety-net community health centers. Sedative-hypnotics included benzodiazepine and non-benzodiazepine sedatives (eg, zolpidem). Co-prescribing patterns were assessed overall and across patient demographic and co-morbidity characteristics. RESULTS: From 2009 to 2018, 240 587 patients had ≥1 opioid prescriptions. Most were White (65%), female (59%), and had Medicaid insurance (43%). One in 4 were chronic opioid users (25%). During this period, 55 332 (23%) were co-prescribed a sedative-hypnotic. The prevalence of co-prescribing was highest for females (26% vs 19% for males), non-Hispanic Whites (28% vs 13% for Hispanic to 20% for unknown), those over 44 years of age (25% vs 20% for <44 years), Medicare insurance (30% vs 21% for uninsured to 22% for other/unknown), and among those on chronic opioid therapy (40%). Co-prescribing peaked in 2010 (32%) and declined steadily through 2018 (20%). Trends were similar across demographic subgroups. Co-prescribed sedative-hypnotics remained elevated for those with chronic opioid use (27%), non-Hispanic Whites (24%), females (23%), and those with Medicare (23%) or commercial insurance (22%). CONCLUSIONS: Co-prescribed sedative-hypnotic use has declined steadily since 2010 across all demographic subgroups in the OCHIN population. Concurrent use remains elevated in several population subgroups.

Sustained Effects of a Systems-Based Strategy for Tobacco Cessation Assistance.

INTRODUCTION: Primary care settings that serve lower-income patients are critical for reducing tobacco-related disparities; however, tobacco-related care in these settings remains low. This study examined whether processes for the provision of tobacco cessation care are sustained 18 and 24 months after implementing a health system-level intervention consisting of electronic health record functionality changes and expansion of rooming staff roles. METHODS: This nonrandomized stepped-wedge study included electronic health record data from adults with ≥1 primary care visit to 1 of 8 community-based clinics between August 2016 and September 2019. Generalized estimating equations methods were used to compute ORs of asking about tobacco use and among those who use tobacco, providing brief advice to quit and assessing readiness to quit, contrasting 18 and 24 months after implementation to both preimplementation (baseline) and 12 months after implementation. Using a 2-level model of patients clustered in clinics, outcomes were examined over time by clinic site. Analyses were conducted in 2022. RESULTS: A total of 305,665 patient visits were evaluated. Significantly higher odds of all 3 outcomes were observed at 18 and 24 months than at baseline. The odds of asking about tobacco use increased, whereas the odds of advising to quit were similar at 18 and 24 months to those at 12 months. Odds of assessing readiness to quit decreased at 18 months (OR=0.71; 95% CI=0.63, 0.80) and 24 months (OR=0.46; 95% CI=0.40, 0.52). Performance varied significantly by clinical site. CONCLUSIONS: Health system changes can have a sustained impact on tobacco assessment and the provision of brief advice among lower-income patients. Strategies to sustain assessment of readiness to quit are warranted.

Racial, ethnic, and language differences in screening measures for statin therapy following a major guideline change.

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.

Development and implementation of a prescription opioid registry across diverse health systems.

Objective: Develop and implement a prescription opioid registry in 10 diverse health systems across the US and describe trends in prescribed opioids between 2012 and 2018. Materials and Methods: Using electronic health record and claims data, we identified patients who had an outpatient fill for any prescription opioid, and/or an opioid use disorder diagnosis, between January 1, 2012 and December 31, 2018. The registry contains distributed files of prescription opioids, benzodiazepines and other select medications, opioid antagonists, clinical diagnoses, procedures, health services utilization, and health plan membership. Rates of outpatient opioid fills over the study period, standardized to health system demographic distributions, are described by age, gender, and race/ethnicity among members without cancer. Results: The registry includes 6 249 710 patients and over 40 million outpatient opioid fills. For the combined registry population, opioid fills declined from a high of 0.718 per member-year in 2013 to 0.478 in 2018, and morphine milligram equivalents (MMEs) per fill declined from 985 MMEs per fill in 2012 to 758 MMEs in 2018. MMEs per member declined from 692 MMEs per member in 2012 to 362 MMEs per member in 2018. Conclusion: This study established a population-based opioid registry across 10 diverse health systems that can be used to address questions related to opioid use. Initial analyses showed large reductions in overall opioid use per member among the combined health systems. The registry will be used in future studies to answer a broad range of other critical public health issues relating to prescription opioid use.