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.

Oregon Medicaid Expenditures After the 2014 Affordable Care Act Medicaid Expansion: Over-time Differences Among New, Returning, and Continuously Insured Enrollees.

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

Electronic health record tools to assist with children's insurance coverage: a mixed methods study.

BACKGROUND: Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children's coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients. We developed and tested electronic health record (EHR)-based tools to help clinics provide children's insurance assistance. METHODS: We used mixed methods to understand tool adoption, and to assess impact of tool use on insurance coverage, healthcare utilization, and receipt of recommended care. We conducted intent-to-treat (ITT) analyses comparing pediatric patients in 4 intervention clinics (n = 15,024) to those at 4 matched control clinics (n = 12,227). We conducted effect-of-treatment-on-the-treated (ETOT) analyses comparing intervention clinic patients with tool use (n = 2240) to intervention clinic patients without tool use (n = 12,784). RESULTS: Tools were used for only 15% of eligible patients. Qualitative data indicated that tool adoption was limited by: (1) concurrent initiatives that duplicated the work associated with the tools, and (2) inability to obtain accurate insurance coverage data and end dates. The ITT analyses showed that intervention clinic patients had higher odds of gaining insurance coverage (adjusted odds ratio [aOR] = 1.32, 95% confidence interval [95%CI] 1.14-1.51) and lower odds of losing coverage (aOR = 0.77, 95%CI 0.68-0.88), compared to control clinic patients. Similarly, ETOT findings showed that intervention clinic patients with tool use had higher odds of gaining insurance (aOR = 1.83, 95%CI 1.64-2.04) and lower odds of losing coverage (aOR = 0.70, 95%CI 0.53-0.91), compared to patients without tool use. The ETOT analyses also showed higher rates of receipt of return visits, well-child visits, and several immunizations among patients for whom the tools were used. CONCLUSIONS: This pragmatic trial, the first to evaluate EHR-based insurance assistance tools, suggests that it is feasible to create and implement tools that help clinics provide insurance enrollment support to pediatric patients. While ITT findings were limited by low rates of tool use, ITT and ETOT findings suggest tool use was associated with better odds of gaining and keeping coverage. Further, ETOT findings suggest that use of such tools may positively impact healthcare utilization and quality of pediatric care. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02298361 ; retrospectively registered on November 5, 2014.

Medicaid's Impact on Chronic Disease Biomarkers: A Cohort Study of Community Health Center Patients.

BACKGROUND: Understanding the impact of health insurance is critical, particularly in the era of Affordable Care Act Medicaid expansion. The electronic health record (EHR) provides new opportunities to quantify health outcomes. OBJECTIVE: To assess changes in biomarkers of chronic disease among community health center (CHC) patients who gained Medicaid coverage with the Oregon Medicaid expansion (2008-2011). DESIGN: Prospective cohort. Patients were followed for 24 months, and rate of mean biomarker change was calculated. Time to a controlled follow-up measurement was compared using Cox regression models. SETTING/PATIENTS: Using EHR data from OCHIN (a non-profit network of CHCs) linked to state Medicaid data, we identified three cohorts of patients with uncontrolled chronic conditions (diabetes, hypertension, and hyperlipidemia). Within these cohorts, we included patients who gained Medicaid coverage along with a propensity score-matched comparison group who remained uninsured (diabetes n = 608; hypertension n = 1244; hyperlipidemia n = 546). MAIN MEASURES: Hemoglobin A1c (HbA1c) for the diabetes cohort, systolic and diastolic blood pressure (SBP and DBP, respectively) for the hypertension cohort, and low-density lipoprotein (LDL) for the hyperlipidemia cohort. KEY RESULTS: All cohorts improved over time. Compared to matched uninsured patients, adults in the diabetes and hypertension cohorts who gained Medicaid coverage were significantly more likely to have a follow-up controlled measurement (hazard ratio [HR] =1.26, p = 0.020; HR = 1.35, p < 0.001, respectively). No significant difference was observed in the hyperlipidemia cohort (HR = 1.09, p = 0.392). CONCLUSIONS: OCHIN patients with uncontrolled chronic conditions experienced objective health improvements over time. In two of three chronic disease cohorts, those who gained Medicaid coverage were more likely to achieve a controlled measurement than those who remained uninsured. These findings demonstrate the effective care provided by CHCs and the importance of health insurance coverage within a usual source of care setting. CLINICAL TRIALS REGISTRATION: NCT02355132 [ https://clinicaltrials.gov/ct2/show/NCT02355132 ].

Health Care Utilization Rates After Oregon's 2008 Medicaid Expansion: Within-Group and Between-Group Differences Over Time Among New, Returning, and Continuously Insured Enrollees.

BACKGROUND: Although past research demonstrated that Medicaid expansions were associated with increased emergency department (ED) and primary care (PC) utilization, little is known about how long this increased utilization persists or whether postcoverage utilization is affected by prior insurance status. OBJECTIVES: (1) To assess changes in ED, PC, mental and behavioral health care, and specialist care visit rates among individuals gaining Medicaid over 24 months postinsurance gain; and (2) to evaluate the association of previous insurance with utilization. METHODS: Using claims data, we conducted a retrospective cohort analysis of adults insured for 24 months following Oregon's 2008 Medicaid expansion. Utilization rates among 1124 new and 1587 returning enrollees were compared with those among 5126 enrollees with continuous Medicaid coverage (≥1 y preexpansion). Visit rates were adjusted for propensity score classes and geographic region. RESULTS: PC visit rates in both newly and returning insured individuals significantly exceeded those in the continuously insured in months 4 through 12, but were not significantly elevated in the second year. In contrast, ED utilization rates were significantly higher in returning insured compared with newly or continuously insured individuals and remained elevated over time. New visits to PC and specialist care were higher among those who gained Medicaid compared with the continuously insured throughout the study period. CONCLUSIONS: Predicting the effect of insurance expansion on health care utilization should account for the prior coverage history of new enrollees. In addition, utilization of outpatient services changes with time after insurance, so expansion evaluations should allow for rate stabilization.

Effect of Gaining Insurance Coverage on Smoking Cessation in Community Health Centers: A Cohort Study.

BACKGROUND: Community health center (CHC) patients have high rates of smoking. Insurance coverage for smoking cessation assistance, such as that mandated by the Affordable Care Act, may aid in smoking cessation in this vulnerable population. OBJECTIVE: We aimed to determine if uninsured CHC patients who gain Medicaid coverage experience greater primary care utilization, receive more cessation medication orders, and achieve higher quit rates, compared to continuously uninsured smokers. DESIGN: Longitudinal observational cohort study using electronic health record data from a network of Oregon CHCs linked to Oregon Medicaid enrollment data. PATIENTS: Cohort of patients who smoke and who gained Medicaid coverage in 2008-2011 after ≥ 6 months of being uninsured and with ≥ 1 smoking assessment in the 24-month follow-up period from the baseline smoking status date. This group was propensity score matched to a cohort of continuously uninsured CHC patients who smoke (n = 4140 matched pairs; 8280 patients). INTERVENTION: Gaining Medicaid after being uninsured for ≥ 6 months. MAIN MEASURES: 'Quit' smoking status (baseline smoking status was 'current every day' or 'some day' and status change to 'former smoker' at a subsequent visit), smoking cessation medication order, and ≥ 6 documented visits (yes/no variables) at ≥ 1 smoking status assessment within the 24-month follow-up period. KEY RESULTS: The newly insured had 40 % increased odds of quitting smoking (aOR = 1.40, 95 % CI:1.24, 1.58), nearly triple the odds of having a medication ordered (aOR = 2.94, 95 % CI:2.61, 3.32), and over twice the odds of having ≥ 6 follow-up visits (aOR = 2.12, 95 % CI:1.94, 2.32) compared to their uninsured counterparts. CONCLUSIONS: Newly insured patients had increased odds of quit smoking status over 24 months of follow-up than those who remained uninsured. Providing insurance coverage to vulnerable populations may have a significant impact on smoking cessation.

Healthcare Utilization After a Children's Health Insurance Program Expansion in Oregon.

OBJECTIVE: The future of the Children's Health Insurance Program (CHIP) is uncertain after 2017. Survey-based research shows positive associations between CHIP expansions and children's healthcare utilization. To build on this prior work, we used electronic health record (EHR) data to assess temporal patterns of healthcare utilization after Oregon's 2009-2010 CHIP expansion. We hypothesized increased post-expansion utilization among children who gained public insurance. METHODS: Using EHR data from 154 Oregon community health centers, we conducted a retrospective cohort study of pediatric patients (2-18 years old) who gained public insurance coverage during the Oregon expansion (n = 3054), compared to those who were continuously publicly insured (n = 10,946) or continuously uninsured (n = 10,307) during the 2-year study period. We compared pre-post rates of primary care visits, well-child visits, and dental visits within- and between-groups. We also conducted longitudinal analysis of monthly visit rates, comparing the three insurance groups. RESULTS: After Oregon's 2009-2010 CHIP expansions, newly insured patients' utilization rates were more than double their pre-expansion rates [adjusted rate ratios (95 % confidence intervals); increases ranged from 2.10 (1.94-2.26) for primary care visits to 2.77 (2.56-2.99) for dental visits]. Utilization among the newly insured spiked shortly after coverage began, then leveled off, but remained higher than the uninsured group. CONCLUSIONS: This study used EHR data to confirm that CHIP expansions are associated with increased utilization of essential pediatric primary and preventive care. These findings are timely to pending policy decisions that could impact children's access to public health insurance in the United States.

Community Health Center Use After Oregon's Randomized Medicaid Experiment.

PURPOSE: There is debate about whether community health centers (CHCs) will experience increased demand from patients gaining coverage through Affordable Care Act Medicaid expansions. To better understand the effect of new Medicaid coverage on CHC use over time, we studied Oregon's 2008 randomized Medicaid expansion (the "Oregon Experiment"). METHODS: We probabilistically matched demographic data from adults (aged 19-64 years) participating in the Oregon Experiment to electronic health record data from 108 Oregon CHCs within the OCHIN community health information network (originally the Oregon Community Health Information Network) (N = 34,849). We performed intent-to-treat analyses using zero-inflated Poisson regression models to compare 36-month (2008-2011) usage rates among those selected to apply for Medicaid vs not selected, and instrumental variable analyses to estimate the effect of gaining Medicaid coverage on use. Use outcomes included primary care visits, behavioral/mental health visits, laboratory tests, referrals, immunizations, and imaging. RESULTS: The intent-to-treat analyses revealed statistically significant differences in rates of behavioral/mental health visits, referrals, and imaging between patients randomly selected to apply for Medicaid vs those not selected. In instrumental variable analyses, gaining Medicaid coverage significantly increased the rate of primary care visits, laboratory tests, referrals, and imaging; rate ratios ranged from 1.27 (95% CI, 1.05-1.55) for laboratory tests to 1.58 (95% CI, 1.10-2.28) for referrals. CONCLUSIONS: Our results suggest that use of many different types of CHC services will increase as patients gain Medicaid through Affordable Care Act expansions. To maximize access to critical health services, it will be important to ensure that the health care system can support increasing demands by providing more resources to CHCs and other primary care settings.

Differences in up-to-date colorectal and cervical cancer screening rates by ethnicity and preferred language: An analysis across patient-, clinic-, and area-level data sources.

Research objective: There is interest in using clinic- and area-level data to inform cancer control, but it is unclear what value these sources may add in combination with patient-level data sources. This study aimed to investigate associations of up-to-date colorectal and cervical cancer screenings at community health centers (CHCs) with ethnicity and language variables at patient-, clinic-, and area-levels, while exploring whether patient-level associations differed based on clinic-level patient language and ethnicity distributions. Study design: This was a cross-sectional study using data from multiple sources, including electronic health records, clinic patient panel data, and area-level demographic data. The study sample included English-preferring Hispanic, Spanish-preferring Hispanic, English-preferring non-Hispanic, and non-English-preferring non-Hispanic patients eligible for either colorectal cancer (N = 98,985) or cervical cancer (N = 129,611) screenings in 2019 from 130 CHCs in the OCHIN network in CA, OR, and WA. Population studied: The study population consisted of adults aged 45+ eligible for colorectal cancer screening and adults with a cervix aged 25-65 eligible for cervical cancer screening. Principal findings: Spanish-preferring Hispanic patients were significantly more likely to be up-to-date with colorectal and cervical cancer screenings than other groups. Patients seen at clinics with higher concentrations of Spanish-preferring Hispanics were significantly more likely to be up-to-date, as were individuals residing in areas with higher percentages of Spanish-speaking residents. Differential associations between patient ethnicity and language and up-to-date colorectal cancer screenings were greater among patients seen at clinics with higher concentrations of Spanish-preferring Hispanics. Conclusions: The findings highlight that Spanish-speaking Hispanics seen in CHCs have higher rates of up-to-date cervical and colorectal cancer screenings than other groups and that this relationship is stronger at clinics with higher percentages of Spanish-preferring Hispanic patients. Our findings suggest area-level variables are not good substitutions for patient-level data, but variables at the clinic patient panel-level are more informative.

Association between documented family history of cancer and screening for breast and colorectal cancer.

BACKGROUND: Previous research on ascertainment of cancer family history and cancer screening has been conducted in urban settings. PURPOSE: To examine whether documented family history of breast or colorectal cancer is associated with breast or colorectal cancer screening. METHODS: Medical record reviews were conducted on 3433 patients aged 55 and older from four primary care practices in two rural Oregon communities. Data collected included patient demographic and risk information, including any documentation of family history of breast or colorectal cancer, and receipt of screening for these cancers. RESULTS: A positive breast cancer family history was associated with an increased likelihood of being up-to-date for mammography screening (OR 2.09, 95% CI 1.45-3.00 relative to a recorded negative history). A positive family history for colorectal cancer was associated with an increased likelihood of being up-to-date with colorectal cancer screening according to U.S. Preventive Services Task Force low risk guidelines for males (OR 2.89, 95% CI 1.15-7.29) and females (OR 2.47, 95% CI 1.32-4.64) relative to a recorded negative family history. The absence of any recorded family cancer history was associated with a decreased likelihood of being up-to-date for mammography screening (OR 0.70, 95% CI 0.56-0.88 relative to recorded negative history) or for colorectal cancer screening (OR 0.75, 95% CI 0.60-0.96 in females, OR 0.68, 95% CI 0.53-0.88 in males relative to recorded negative history). CONCLUSION: Further research is needed to determine if establishing routines to document family history of cancer would improve appropriate use of cancer screening.

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.

An analysis of electronically monitored adherence to antiretroviral medications.

Medication adherence studies increasingly collect data electronically, often using Medication Event Monitoring System (MEMS) caps. Analyses typically focus on summary adherence measures, although more complete analyses are possible using adaptive statistical methods. These methods were used to describe individual-subject adherence patterns for MEMS data from a clinical trial. Subjects were adaptively clustered into groups with similar adherence patterns and clusters were compared on a variety of subject characteristics. There were seven different adherence clusters: consistently high, consistently moderately high, consistently moderate, consistently moderately low, consistently low, deteriorating starting early, and deteriorating late. Compared to other subjects, subjects with consistently high and consistently moderately high adherence were more likely to be male, White, and older and to maintain during study participation a CD4 cell count over 500 and an HIV viral load of at most 400 copies/ml. These results demonstrate the effectiveness of adaptive methods for comprehensive analysis of MEMS data.

The Impact of Social and Clinical Complexity on Diabetes Control Measures.

PURPOSE: In an age of value-based payment, primary care providers are increasingly scrutinized on performance metrics that assess quality of care, including the outcomes of their patient population in key areas such as diabetes control. Although such measures often adjust for patient clinical risk factors or clinical complexity, most do not account for the social complexity of patient populations, despite research demonstrating the strong association between social factors and health. METHODS: Using patient electronic health record data from 2 large community health center networks serving safety net patients, we assessed the effect of both clinical and social risk factors on poor glucose control among diabetics. Logistic regression results were used to estimate the impact of adjusting for both clinical and social complexity on provider performance metrics. Clinical complexity was measured at the patient-level using the Charlson Comorbidity Index. Social complexity was measured at the community-level using the Social Deprivation Index. RESULTS: Clinical complexity alone was not consistently associated with poor diabetes control (ie, HbA1c > 9%) in diabetic patients with HbA1c testing during the study period. However, increasing social complexity was significantly associated with higher rates of poor diabetic control in both cohorts. After adding adjustment for social complexity down to the national median score, our models suggest that approximately 25% of providers would have 1 to 2% improvement in the assessment of their diabetes control measures, with 45% showing a 2 to 5% improvement, and 5% showing more than a 5% improvement. CONCLUSIONS: Providers caring for patients with greater social risk factors may benefit from having their performance metrics adjusted for the social complexity of their patient populations.

Not so implausible: impact of longitudinal assessment of implausible anthropometric measures on obesity prevalence and weight change in children and adolescents.

PURPOSE: Implausible anthropometric measures are typically identified using population outlier definitions, conflating implausible and extreme measures. We determined the impact of a longitudinal outlier approach on prevalence of body mass index (BMI) categories and mean change in anthropometric measures in pediatric electronic health record data. METHODS: We examined 996,131 observations from 147,375 children (10-18 years) in the ADVANCE Clinical Data Research Network, a national network of community health centers. Sex-stratified, mixed effects, linear spline regression modeled weight, height, and BMI as a function of age. Longitudinal outliers were defined as observations with studentized residual greater than |6|; population outliers were defined by Centers for Disease Control-defined z-score thresholds. RESULTS: At least 99.7% of anthropometric measures were not extreme by longitudinal or population definitions (agreement ≥ 0.995). BMI category prevalence after excluding longitudinal or population outliers differed by less than 0.1%. Among children greater than 85th percentile at baseline, annual mean changes in anthropometric measures were larger in data that excluded longitudinal (girls: 1.24 inches, 12.39 pounds, 1.53 kg/m2; boys: 2.34, 14.08, 1.07) versus population outliers (girls: 0.61 inches, 8.22 pounds, 0.75 kg/m2; boys: 1.53, 11.61, 0.48). CONCLUSIONS: Longitudinal outlier methods may reduce underestimation of anthropometric change in children with elevated baseline values.

Prescription opioid use patterns, use disorder diagnoses and addiction treatment receipt after the 2014 Medicaid expansion in Oregon.

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

Medicaid coverage accuracy in electronic health records.

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

Protocol for the analysis of a natural experiment on the impact of the Affordable Care Act on diabetes care in community health centers.

BACKGROUND: It is hypothesized that Affordable Care Act (ACA) Medicaid expansions could substantially improve access to health insurance and healthcare services for patients at risk for diabetes mellitus (DM), with pre-DM, or already diagnosed with DM. The ACA called for every state to expand Medicaid coverage by 2014. In a 2012 legal challenge, the US Supreme Court ruled that states were not required to implement Medicaid expansions. This 'natural experiment' presents a unique opportunity to learn whether and to what extent Medicaid expansion can affect healthcare access and services for patients with DM risk, pre-DM, or DM. METHODS/DESIGN: Data from electronic health records (EHRs) from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) clinical data research network, which has data from >700 community health centers (CHCs), was included in the study. EHR data will be linked to Oregon Medicaid claims data. Data collection will include information on changes in health insurance, service receipt, and health outcomes, spanning 9 years (pre- and post-expansion), comparing states that expanded Medicaid, and those that did not. Patients included in this study will be diagnosed with DM, be at risk for DM, or have pre-DM, between the ages of 19 and 64, with ≥1 ambulatory visit. Sample size is estimated to be roughly 275,000 patients. Biostatistical analyses will include the difference-in-differences (DID) methodology and a generalized linear mixed model. Econometric analyses will include a DID two-part method to calculate the difference in Medicaid expenditures in Oregon among newly insured CHC patients. DISCUSSION: Findings will have national relevance on DM health services and outcomes and will be shared through national conferences and publications. The findings will provide information needed to impact the policy as it is related to access to health insurance and receipt of healthcare among a vulnerable population. TRIAL REGISTRATION: This project is registered with ClinicalTrials.gov ( NCT02685384 ). Registered 18 May 2016.

Contrasting blue-on-yellow with white-on-white visual fields: Roles of visual adaptation for healthy peri- or postmenopausal women younger than 70 years of age.

PURPOSE: To test the hypothesis that differences between short-wavelength automated perimetry (SWAP) and white-on-white visual field sensitivities are related to between-individual variation in the visual adaptation properties of SWS cone pathways. METHODS: Twenty-six healthy amenorrheic (peri- or postmenopausal) women not using hormonal medication were tested. Subjects ranged in age from 48 to 68 years. They were tested by using foveal increment-threshold techniques and also with two types of 24-2 visual field tests: a full-threshold SWAP blue-on-yellow (B/Y) test and a white-on-white (W/W) test obtained using a Swedish Interactive Threshold Algorithm (SITA Standard). The age-corrected sensitivity differences between the two types of visual fields were compared against foveal measures of visual sensitivity and adaptation, which were obtained psychophysically using dim and bright yellow backgrounds. All measurements for each subject were made at a single testing session. The comparisons were made for the entire visual field and for separate portions of the visual field. The analyses also included pupil size data obtained during visual field testing. RESULTS: The B/Y minus W/W (B/Y - W/W) mean deviation difference was described (R = 0.80) by a multilinear model with three significant factors: (1) an adaptation factor and (2) a baseline sensitivity factor, each derived from the foveal psychophysical data for short-wavelength test stimuli, and (3) a pupil size factor, as recorded for SWAP. The total deviation differences in the periphery of the visual field (approximately 22 degrees from fixation) were described (R = 0.87) by a model with four significant factors, the fourth being an "eccentricity factor" describing the rate of change of the B/Y - W/W total deviation difference measured as a function of increasing retinal eccentricity approximately 9 degrees -17 degrees from fixation. More than 40% of the variance in the B/Y - W/W mean deviation differences was accounted for either directly or indirectly (via effects of pupil size) by variations in adaptation to the yellow background used for SWAP. CONCLUSIONS: Much of the extra variability in SWAP sensitivities for a select group of healthy women can be accounted for by differences in the degree of desensitization induced by the yellow background used for SWAP. For clinical practice, pupil status (dilated or undilated) should be altered only with caution from one SWAP testing session to another.

Small optic cup sizes among women using tamoxifen: assessment with scanning laser ophthalmoscopy.

PURPOSE: There is a substantial literature showing that the selective estrogen receptor modulator tamoxifen can block swelling-activated chloride channels, such as those in astrocytes. This study aimed to test the hypothesis that anatomic characteristics consistent with swelling may be measured within the optic nerve head (ONH) of tamoxifen users whose ONH appearance is considered within normal limits. METHODS: Indices of ONH topography were measured using the Heidelberg Retina Tomograph II (HRT) for two populations of women ages 40-69 years: (1) subjects using tamoxifen (20 mg/day) as adjuvant therapy after successful primary treatment for breast cancer and (2) control subjects not using any hormonal medication. All subjects had excellent visual acuity (with 20/20 or better in the test eye), and all appeared to be free of eye disease, as based on conventional photographic assessment. The study design was cross-sectional. The various ONH indices were assessed as functions of the duration of tamoxifen use. RESULTS: The optic cups of short-term tamoxifen users ( 2 years,

Non-invasive detection of multinucleated giant cells in the conjunctiva of patients with sarcoidosis by in-vivo confocal microscopy.

AIM: To explore the use of in-vivo confocal microscopy (IVCM) as a potential non-invasive adjunctive tool for diagnosing sarcoidosis. METHODS: Conjunctivae were imaged using confocal microscopy in 10 patients with sarcoidosis and 27 control subjects. We utilized the ASL-1000 Scanning Confocal Microscope (Advanced Scanning Ltd., New Orleans, LA) and the Confoscan 3 (Nidek Co. Ltd., Gamagori, Japan). Two masked observers reviewed the in-vivo confocal images of the conjunctivae in these subjects. One masked observer was experienced in reviewing confocal images. The most striking and obvious feature seen in granulomatous inflammation on confocal microscopy is the presence of multinucleated giant cells (MGCs). RESULTS: Unmasked observation of the scans revealed MGCs in six of the 10 sarcoid patients and no MGCs in the controls. One experienced masked observer found MGCs in five of the 10 patients with sarcoidosis and had no false-positive results (Fisher's exact test, p = 0.001; specificity = 1; sensitivity = 50% for the diagnosis of sarcoidosis and 83% compared to the unmasked observer). The second less-experienced masked observer detected MGCs in three of the 10 patients and three of the 27 controls (11.1% of the controls) (p = 0.186; specificity = 0.89; sensitivity = 30% of all patients with sarcoidosis and 50% compared to the unmasked observer). CONCLUSIONS: The utilization of IVCM to visualize the basic histology and pathology in sarcoidosis of the conjunctiva is novel. Initial results indicate that trained observers can detect MGCs in granulomatous inflammation. The ASL-1000 microscope tends to have better resolution and deeper penetration of the conjunctiva compared with the Confoscan 3.