Preventive Service Usage and New Chronic Disease Diagnoses: Using PCORnet Data to Identify Emerging Trends, United States, 2018-2022.

Background: Data modernization efforts to strengthen surveillance capacity could help assess trends in use of preventive services and diagnoses of new chronic disease during the COVID-19 pandemic, which broadly disrupted health care access. Methods: This cross-sectional study examined electronic health record data from US adults aged 21 to 79 years in a large national research network (PCORnet), to describe use of 8 preventive health services (N = 30,783,825 patients) and new diagnoses of 9 chronic diseases (N = 31,588,222 patients) during 2018 through 2022. Joinpoint regression assessed significant trends, and health debt was calculated comparing 2020 through 2022 volume to prepandemic (2018 and 2019) levels. Results: From 2018 to 2022, use of some preventive services increased (hemoglobin A1c and lung computed tomography, both P < .05), others remained consistent (lipid testing, wellness visits, mammograms, Papanicolaou tests or human papillomavirus tests, stool-based screening), and colonoscopies or sigmoidoscopies declined (P < .01). Annual new chronic disease diagnoses were mostly stable (6% hypertension; 4% to 5% cholesterol; 4% diabetes; 1% colonic adenoma; 0.1% colorectal cancer; among women, 0.5% breast cancer), although some declined (lung cancer, cervical intraepithelial neoplasia or carcinoma in situ, cervical cancer, all P < .05). The pandemic resulted in health debt, because use of most preventive services and new diagnoses of chronic disease were less than expected during 2020; these partially rebounded in subsequent years. Colorectal screening and colonic adenoma detection by age group aligned with screening recommendation age changes during this period. Conclusion: Among over 30 million patients receiving care during 2018 through 2022, use of preventive services and new diagnoses of chronic disease declined in 2020 and then rebounded, with some remaining health debt. These data highlight opportunities to augment traditional surveillance with EHR-based data.

Validation of Multi-State EHR-Based Network for Disease Surveillance (MENDS) Data and Implications for Improving Data Quality and Representativeness.

Introduction: Surveillance modernization efforts emphasize the potential use of electronic health record (EHR) data to inform public health surveillance and prevention. However, EHR data streams vary widely in their completeness, accuracy, and representativeness. Methods: We developed a validation process for the Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot project to identify and resolve data quality issues that could affect chronic disease prevalence estimates. We examined MENDS validation processes from December 2020 through August 2023 across 5 data-contributing organizations and outlined steps to resolve data quality issues. Results: We identified gaps in the EHR databases of data contributors and in the processes to extract, map, integrate, and analyze their EHR data. Examples of source-data problems included missing data on race and ethnicity and zip codes. Examples of data processing problems included duplicate or missing patient records, lower-than-expected volumes of data, use of multiple fields for a single data type, and implausible values. Conclusion: Validation protocols identified critical errors in both EHR source data and in the processes used to transform these data for analysis. Our experience highlights the value and importance of data validation to improve data quality and the accuracy of surveillance estimates that use EHR data. The validation process and lessons learned can be applied broadly to other EHR-based surveillance efforts.

Long-term cardiovascular disease outcomes in non-hospitalized medicare beneficiaries diagnosed with COVID-19: Population-based matched cohort study.

BACKGROUND: SARS-CoV2, the virus that causes coronavirus disease 2019 (COVID-19), can affect multiple human organs structurally and functionally, including the cardiovascular system and brain. Many studies focused on the acute effects of COVID-19 on risk of cardiovascular disease (CVD) and stroke especially among hospitalized patients with limited follow-up time. This study examined long-term mortality, hospitalization, CVD and stroke outcomes after non-hospitalized COVID-19 among Medicare fee-for-service (FFS) beneficiaries in the United States. METHODS: This retrospective matched cohort study included 944,371 FFS beneficiaries aged ≥66 years diagnosed with non-hospitalized COVID-19 from April 1, 2020, to April 30, 2021, and followed-up to May 31, 2022, and 944,371 propensity score matched FFS beneficiaries without COVID-19. Primary outcomes were all-cause mortality, hospitalization, and incidence of 15 CVD and stroke. Because most outcomes violated the proportional hazards assumption, we used restricted cubic splines to model non-proportional hazards in Cox models and presented time-varying hazard ratios (HRs) and Bonferroni corrected 95% confidence intervals (CI). RESULTS: The mean age was 75.3 years; 58.0% women and 82.6% non-Hispanic White. The median follow-up was 18.5 months (interquartile range 16.5 to 20.5). COVID-19 showed initial stronger effects on all-cause mortality, hospitalization and 12 incident CVD outcomes with adjusted HRs in 0-3 months ranging from 1.05 (95% CI 1.01-1.09) for mortality to 2.55 (2.26-2.87) for pulmonary embolism. The effects of COVID-19 on outcomes reduced significantly after 3-month follow-up. Risk of mortality, acute myocardial infarction, cardiomyopathy, deep vein thrombosis, and pulmonary embolism returned to baseline after 6-month follow-up. Patterns of initial stronger effects of COVID-19 were largely consistent across age groups, sex, and race/ethnicity. CONCLUSIONS: Our results showed a consistent time-varying effects of COVID-19 on mortality, hospitalization, and incident CVD among non-hospitalized COVID-19 survivors.

MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.

Objectives: The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven's Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline. Materials and Methods: The input data source was a research data warehouse containing clinical and administrative data in OMOP CDM Version 5.3 format. OMOP-to-FHIR transformations, using a unique JavaScript Object Notation (JSON)-to-JSON transformation language called Whistle, created FHIR R4 V4.0.1/US Core IG V4.0.0 conformant resources that were stored in a local FHIR server. A REST-based Bulk FHIR $export request extracted FHIR resources to populate a local MENDS database. Results: Eleven OMOP tables were used to create 10 FHIR/US Core compliant resource types. A total of 1.13 trillion resources were extracted and inserted into the MENDS repository. A very low rate of non-compliant resources was observed. Discussion: OMOP-to-FHIR transformation results passed validation with less than a 1% non-compliance rate. These standards-compliant FHIR resources provided standardized data elements required by the MENDS surveillance use case. The Bulk FHIR application programming interface (API) enabled population-level data exchange using interoperable FHIR resources. The OMOP-to-FHIR transformation pipeline creates a FHIR interface for accessing OMOP data. Conclusion: MENDS-on-FHIR successfully replaced custom ETL with standards-based interoperable FHIR resources using Bulk FHIR. The OMOP-to-FHIR transformations provide an alternative mechanism for sharing OMOP data.

County-Level Cardiac Rehabilitation and Broadband Availability: Opportunities for Hybrid Care in the United States.

PURPOSE: Cardiac rehabilitation (CR) improves patient outcomes and quality of life and can be provided virtually through hybrid CR. However, little is known about CR availability in conjunction with broadband access, a requirement for hybrid CR. This study examined the intersection of CR and broadband availability at the county level, nationwide. METHODS: Data were gathered and analyzed in 2022 from the 2019 American Community Survey, the Centers for Medicare & Medicaid Services, and the Federal Communications Commission. Spatially adaptive floating catchments were used to calculate county-level percent CR availability among Medicare fee-for-service beneficiaries. Counties were categorized: by CR availability, whether lowest (ie, CR deserts), medium, or highest; and by broadband availability, whether CR deserts with majority-available broadband, or dual deserts. Results were stratified by state. County-level characteristics were examined for statistical significance by CR availability category. RESULTS: Almost half of US adults (n = 116 325 976, 47.2%) lived in CR desert counties (1691 counties). Among adults in CR desert counties, 96.8% were in CR deserts with majority-available broadband (112 626 906). By state, the percentage of the adult population living in CR desert counties ranged from 3.2% (New Hampshire) to 100% (Hawaii and Washington, DC). Statistically significant differences in county CR availability existed by race/ethnicity, education, and income. CONCLUSIONS: Almost half of US adults live in CR deserts. Given that up to 97% of adults living in CR deserts may have broadband access, implementation of hybrid CR programs that include a telehealth component could expand CR availability to as many as 113 million US adults.

Hypertension Prevalence and Control Among People With and Without HIV - United States, 2022.

BACKGROUND: People with HIV (PWH) have higher rates of cardiovascular disease than people without HIV. However, limited information exists about hypertension prevalence and associated risk factors in PWH. METHODS: This cross-sectional study included adult patients in the 2022 IQVIATM Ambulatory Electronic Medical Record - US data. HIV was identified based on ≥2 HIV diagnosis codes or a positive HIV test. Hypertension was identified by diagnosis codes, ≥2 blood pressure (BP) readings ≥130/80 mmHg, or an antihypertensive medication prescription. Among those with hypertension, control was defined as most recent BP <130/80 mmHg. Logistic models using marginal standardization method were used to estimate adjusted prevalence ratios (aPR) of hypertension and hypertension control among all patients and PWH specifically, controlling for covariates. RESULTS: Of 7,533,379 patients, 19,102 (0.3%) had HIV. PWH had higher hypertension prevalence (66% vs 54%, aPR:1.14, 95% CI: 1.13-1.15) compared with people without HIV. Among persons with hypertension, PWH were more likely to have controlled hypertension (aPR: 1.10, 95% CI: 1.07-1.13) compared with people without HIV. Among PWH, those from the South were more likely to have hypertension (aPR: 1.07, 95% CI: 1.02-1.12) than PWH from the Northeast, while Black PWH were less likely to have controlled hypertension (aPR: 0.72, 95% CI: 0.67-0.77) than White PWH. CONCLUSIONS: PWH were more likely to have hypertension than people without HIV. Geographic and racial disparities in hypertension prevalence and control were observed among PWH. Optimal care for PWH includes comprehensive strategies to screen for, prevent, and manage hypertension.

Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes: The Million Veteran Program (MVP).

OBJECTIVE: To characterize high type 1 diabetes (T1D) genetic risk in a population where type 2 diabetes (T2D) predominates. RESEARCH DESIGN AND METHODS: Characteristics typically associated with T1D were assessed in 109,594 Million Veteran Program participants with adult-onset diabetes, 2011-2021, who had T1D genetic risk scores (GRS) defined as low (0 to <45%), medium (45 to <90%), high (90 to <95%), or highest (≥95%). RESULTS: T1D characteristics increased progressively with higher genetic risk (P < 0.001 for trend). A GRS ≥90% was more common with diabetes diagnoses before age 40 years, but 95% of those participants were diagnosed at age ≥40 years, and their characteristics resembled those of individuals with T2D in mean age (64.3 years) and BMI (32.3 kg/m2). Compared with the low-risk group, the highest-risk group was more likely to have diabetic ketoacidosis (low GRS 0.9% vs. highest GRS 3.7%), hypoglycemia prompting emergency visits (3.7% vs. 5.8%), outpatient plasma glucose <50 mg/dL (7.5% vs. 13.4%), a shorter median time to start insulin (3.5 vs. 1.4 years), use of a T1D diagnostic code (16.3% vs. 28.1%), low C-peptide levels if tested (1.8% vs. 32.4%), and glutamic acid decarboxylase antibodies (6.9% vs. 45.2%), all P < 0.001. CONCLUSIONS: Characteristics associated with T1D were increased with higher genetic risk, and especially with the top 10% of risk. However, the age and BMI of those participants resemble those of people with T2D, and a substantial proportion did not have diagnostic testing or use of T1D diagnostic codes. T1D genetic screening could be used to aid identification of adult-onset T1D in settings in which T2D predominates.

Telehealth use during the early COVID-19 public health emergency and subsequent health care costs and utilization.

Telehealth utilization increased during the COVID-19 pandemic, yet few studies have documented associations of telehealth use with subsequent medical costs and health care utilization. We examined associations of telehealth use during the early COVID-19 public health emergency (March-June 2020) with subsequent total medical costs and health care utilization among people with heart disease (HD). We created a longitudinal cohort of individuals with HD using MarketScan Commercial Claims data (2018-2022). We used difference-in-differences methodology adjusting for patients' characteristics, comorbidities, COVID-19 infection status, and number of in-person visits. We found that using telehealth during the stay-at-home order period was associated with a reduction in total medical costs (by -$1814 per person), number of emergency department visits (by -88.6 per 1000 persons), and number of inpatient admissions (by -32.4 per 1000 persons). Telehealth use increased per-person per-year pharmacy prescription claims (by 0.514) and average number of days' drug supply (by 0.773 days). These associated benefits of telehealth use can inform decision makers, insurance companies, and health care professionals, especially in the context of disrupted health care access.

Relationship Between Ultra-Processed and Minimally Processed Food Intake and Cardiovascular Health Among US Women of Reproductive Age.

Objectives: Ultra-processed food (UPF) intake is associated with worse cardiovascular health (CVH), but associations between unprocessed/minimally processed foods (MPFs) and CVH are limited, especially among women of reproductive age (WRA). Materials and Methods: For 5,773 WRA (20-44 years) in National Health and Nutrition Examination Survey (NHANES) 2007-2018, we identified UPFs and MPFs using the Nova classification and based on 24-hour dietary recalls. We calculated usual percentages of calories from UPFs and MPFs using the National Cancer Institute's usual intake method. Seven CVH metrics were scored, and CVH levels were grouped by tertile. We used multivariable linear and multinomial logistic regression to assess associations between UPFs and MPFs and CVH. Results: The average usual percentage of calories from UPFs and MPFs was 57.2% and 29.3%, respectively. There was a graded, positive association between higher UPF intake and higher odds of poor CVH: adjusted odds ratios (aORs) for the lowest versus highest CVH were 1.74 (95% confidence interval: 1.51-2.01), 2.67 (2.07-3.44) and 4.66 (3.13-6.97), respectively, comparing quartile 2 (Q2)-Q4 to the lowest quartile (Q1) of UPF intake. Higher MPF intake was associated with lower odds of poor CVH: aORs for the lowest CVH were 0.61 (0.54-0.69), 0.39 (0.31-0.50), and 0.21 (0.14-0.31). Patterns of association remained consistent across subgroups and in sensitivity analyses. Conclusions: Higher UPF intake was associated with worse CVH, while higher MPF intake was associated with better CVH among WRA in the United States. Our analyses highlight an opportunity for WRA to improve nutrition and their CVH.

Association of Economic Policies With Hypertension Management and Control: A Systematic Review.

Importance: Economic policies have the potential to impact management and control of hypertension. Objectives: To review the evidence on the association between economic policies and hypertension management and control among adults with hypertension in the US. Evidence Review: A search was carried out of PubMed/MEDLINE, Cochrane Library, Embase, PsycINFO, CINAHL, EconLit, Sociological Abstracts, and Scopus from January 1, 2000, through November 1, 2023. Included were randomized clinical trials, difference-in-differences, and interrupted time series studies that evaluated the association of economic policies with hypertension management. Economic policies were grouped into 3 categories: insurance coverage expansion such as Medicaid expansion, cost sharing in health care such as increased drug copayments, and financial incentives for quality such as pay-for-performance. Antihypertensive treatment was measured as taking antihypertensive medications or medication adherence among those who have a hypertension diagnosis; and hypertension control, measured as blood pressure (BP) lower than  140/90 mm Hg or a reduction in BP. Evidence was extracted and synthesized through dual review of titles, abstracts, full-text articles, study quality, and policy effects. Findings: In total, 31 articles were included. None of the studies examined economic policies outside of the health care system. Of these, 16 (52%) assessed policies for insurance coverage expansion, 8 (26%) evaluated policies related to patient cost sharing for prescription drugs, and 7 (22%) evaluated financial incentive programs for improving health care quality. Of the 16 studies that evaluated coverage expansion policies, all but 1 found that policies such as Medicare Part D and Medicaid expansion were associated with significant improvement in antihypertensive treatment and BP control. Among the 8 studies that examined patient cost sharing, 4 found that measures such as prior authorization and increased copayments were associated with decreased adherence to antihypertensive medication. Finally, all 7 studies evaluating financial incentives aimed at improving quality found that they were associated with improved antihypertensive treatment and BP control. Overall, most studies had a moderate or low risk of bias in their policy evaluation. Conclusions and Relevance: The findings of this systematic review suggest that economic policies aimed at expanding insurance coverage or improving health care quality successfully improved medication use and BP control among US adults with hypertension. Future research is needed to investigate the potential effects of non-health care economic policies on hypertension control.

Racial and Ethnic Differences in Hypertension-Related Telehealth and In-Person Outpatient Visits Before and During the COVID-19 Pandemic Among Medicaid Beneficiaries.

Background: Little is known about the trends and costs of hypertension management through telehealth among individuals enrolled in Medicaid. Methods: Using MarketScan® Medicaid database, we examined outpatient visits among people with hypertension aged 18-64 years. We presented the numbers of hypertension-related telehealth and in-person outpatient visits per 100 individuals and the proportion of hypertension-related telehealth outpatient visits to total outpatient visits by month, overall, and by race and ethnicity. For the cost analysis, we presented total and patient out-of-pocket (OOP) costs per visit for telehealth and in-person visits in 2021. Results: Of the 229,562 individuals, 114,445 (49.9%) were non-Hispanic White, 80,692 (35.2%) were non-Hispanic Black, 3,924 (1.71%) were Hispanic. From February to April 2020, the number of hypertension-related telehealth outpatient visits per 100 persons increased from 0.01 to 6.13, the number of hypertension-related in-person visits decreased from 61.88 to 52.63, and the proportion of hypertension-related telehealth outpatient visits increased from 0.01% to 10.44%. During that same time, the proportion increased from 0.02% to 13.9% for non-Hispanic White adults, from 0.00% to 7.58% for non-Hispanic Black adults, and from 0.12% to 19.82% for Hispanic adults. The average total and patient OOP costs per visit in 2021 were $83.82 (95% confidence interval [CI], 82.66-85.05) and $0.55 (95% CI, 0.42-0.68) for telehealth and $264.48 (95% CI, 258.87-269.51) and $0.72 (95% CI, 0.65-0.79) for in-person visits, respectively. Conclusions: Hypertension management via telehealth increased among Medicaid recipients regardless of race and ethnicity, during the COVID-19 pandemic. These findings may inform telehealth policymakers and health care practitioners.

Prevalence of Cardiometabolic Diseases Among Racial and Ethnic Subgroups in Adults - Behavioral Risk Factor Surveillance System, United States, 2013-2021.

Although diabetes and cardiovascular disease account for substantial disease prevalence among adults in the United States, their prevalence among racial and ethnic subgroups is inadequately characterized. To fill this gap, CDC described the prevalence of diagnosed cardiometabolic diseases among U.S. adults, by disaggregated racial and ethnic subgroups, among 3,970,904 respondents to the Behavioral Risk Factor Surveillance System during 2013-2021. Prevalence of each disease (diabetes, myocardial infarction, angina or coronary heart disease, and stroke), stratified by race and ethnicity, was based on self-reported diagnosis by a health care professional, adjusting for age, sex, and survey year. Overall, mean respondent age was 47.5 years, and 51.4% of respondents were women. Prevalence of cardiometabolic diseases among disaggregated race and ethnicity subgroups varied considerably. For example, diabetes prevalence within the aggregated non-Hispanic Asian category (11.5%) ranged from 6.3% in the Vietnamese subgroup to 15.2% in the Filipino subgroup. Prevalence of angina or coronary heart disease for the aggregated Hispanic or Latino category (3.8%) ranged from 3.1% in the Cuban subgroup to 6.3% in the Puerto Rican subgroup. Disaggregation of cardiometabolic disease prevalence data by race and ethnicity identified health disparities among subgroups that can be used to better help guide prevention programs and develop culturally relevant interventions.

A National Approach to Promoting Health Equity in Cardiovascular Disease Prevention: Implementation Science Strengths, Opportunities, and a Changing Chronic Disease Context.

In the USA, structural racism contributes to higher rates of cardiovascular disease (CVD) including hypertension, heart disease, and stroke among African American persons. Evidence-based interventions (EBIs), which include programs, policies, and practices, can help mitigate health inequities, but have historically been underutilized or misapplied among communities experiencing discrimination and exclusion. This commentary on the special issue of Prevention Science, "Advancing the Adaptability of Chronic Disease Prevention and Management Through Implementation Science," describes the Centers for Disease Control and Prevention, Division for Heart Disease and Stroke Prevention's (DHDSP's) efforts to support implementation practice and highlights several studies in the issue that align with DHDSP's methods and mission. This work includes EBI identification, scale, and spread as well as health services and policy research. We conclude that implementation practice to enhance CVD health equity will require greater coordination with diverse implementation science partners as well as continued innovation and capacity building to ensure meaningful community engagement throughout EBI development, translation, dissemination, and implementation.

Trends in Cardiovascular Disease Mortality Rates and Excess Deaths, 2010-2022.

INTRODUCTION: Cardiovascular disease (CVD) mortality increased during the initial years of the COVID-19 pandemic, but whether these trends endured in 2022 is unknown. This analysis describes temporal trends in CVD death rates from 2010 to 2022 and estimates excess CVD deaths from 2020 to 2022. METHODS: Using national mortality data from the National Vital Statistics System, deaths among adults aged ≥35 years were classified by underlying cause of death International Classification of Diseases 10th Revision codes for CVD (I00-I99), heart disease (I00-I09, I11, I13, I20-I51), and stroke (I60-I69). Analyses in Joinpoint software identified trends in CVD age-adjusted mortality rates (AAMR) per 100,000 and estimated the number of excess CVD deaths from 2020 to 2022. RESULTS: During 2010-2022, 10,951,403 CVD deaths occurred (75.6% heart disease, 16.9% stroke). The national CVD AAMR declined by 8.9% from 2010 to 2019 (456.6-416.0 per 100,000) and then increased by 9.3% from 2019 to 2022 to 454.5 per 100,000, which approximated the 2010 rate (456.7 per 100,000). From 2020 to 2022, 228,524 excess CVD deaths occurred, which was 9% more CVD deaths than expected based on trends from 2010 to 2019. Results varied by CVD subtype and population subgroup. CONCLUSIONS: Despite stabilization of the public health emergency, declines in CVD mortality rates reversed in 2020 and remained high in 2022, representing almost a decade of lost progress and over 228,000 excess CVD deaths. Findings underscore the importance of prioritizing prevention and management of CVD to improve outcomes.

Hypertension Prevalence and Control Among U.S. Women of Reproductive Age.

INTRODUCTION: Hypertension is a risk factor for cardiovascular disease, a leading cause of death among women of reproductive age (women aged 18-44 years). This study estimated hypertension prevalence and control among women of reproductive age at the national and state levels using electronic health record data. METHODS: Nonpregnant women of reproductive age were included in this cross-sectional study using 2019 IQVIA Ambulatory Electronic Medical Records - U.S. national data (analyzed in 2023). Suspected hypertension was identified using any of these criteria: ≥1 hypertension diagnosis code, ≥2 blood pressure readings ≥140/90 mmHg on separate days, or ≥1 antihypertensive medication. Among women of reproductive age with hypertension, the latest blood pressure in 2019 was used to identify hypertension control (blood pressure <140/90 mmHg). Estimates were age standardized and stratified by race or Hispanic ethnicity, region, and states with sufficient data. Tukey tests compared estimates by race or Hispanic ethnicity, region, and comorbidities. RESULTS: Among 2,125,084 women of reproductive age (62.1% White, 8.8% Black, and 29.1% other [including Hispanic, Asian, other, or unknown]) with a mean age of 31.7 years, hypertension prevalence was 14.5%. Of those with hypertension, 71.9% had controlled blood pressure. Black women of reproductive age had a higher hypertension prevalence (22.3% vs 14.4%, p<0.05) but lower control (60.6% vs 74.0%, p<0.05) than White women of reproductive age. State-level hypertension prevalence ranged from 13.7% (Massachusetts) to 36% (Alabama), and control ranged from 82.9% (Kansas) to 59.2% (the District of Columbia). CONCLUSIONS: This study provides the first state-level estimates of hypertension control among women of reproductive age. Electronic health record data complements traditional hypertension surveillance data and provides further information for efforts to prevent and manage hypertension among women of reproductive age.

State-Level Hypertension Prevalence and Control Among Adults in the U.S.

INTRODUCTION: Improving hypertension control is a national priority. Electronic health record data have the potential to augment traditional surveillance systems. This study aimed to assess hypertension prevalence and control at the state level using a previously established electronic health record-based phenotype for hypertension. METHODS: Adult patients (N=11,031,368) were included from the IQVIA ambulatory electronic medical record-U.S. 2019 data set. IQVIA ambulatory electronic medical record comprises electronic health records from >100,000 providers and includes patients from every U.S. state and Washington DC. Authors compared hypertension prevalence and control estimates against those from the Behavioral Risk Factor Surveillance System 2019. Results were age-standardized and stratified by state and sociodemographic characteristics. Statistical analyses were conducted in 2022-2023. RESULTS: IQVIA ambulatory electronic medical record-U.S. patients had a median age of 55 years, and 56.7% were women. Overall age-standardized hypertension prevalence was higher in IQVIA ambulatory electronic medical record-U.S. (35.0%) than in the Behavioral Risk Factor Surveillance System (29.7%), however, state-level geographic patterns were similar, with the highest burden in the South and Appalachia. Similar patterns were also observed by sociodemographic characteristics in both data sets: hypertension prevalence was higher in older age groups (than younger), men (than women), and Black patients (than other races). Hypertension control varied widely across states: among states with >1% data coverage, control rates were lowest in Nevada (51.1%), Washington DC (52.0%), and Mississippi (55.2%); highest in Kansas (73.4%), New Jersey (72.3%), and Iowa (71.9%). CONCLUSIONS: This study provided the first-ever estimates of hypertension control for all states and Washington DC. Electronic health record-based surveillance could support hypertension prevention and control efforts at the state level.

Rural and Urban Differences in Hypertension Management Through Telehealth Before and During the COVID-19 Pandemic Among Commercially Insured Patients.

BACKGROUND: The COVID-19 pandemic prompted a rapid increase in telehealth use. However, limited evidence exists on how rural and urban residents used telehealth and in-person outpatient services to manage hypertension during the pandemic. METHODS: This longitudinal study analyzed 701,410 US adults (18-64 years) in the MarketScan Commercial Claims Database, who were continuously enrolled from January 2017 through March 2022. We documented monthly numbers of hypertension-related telehealth and in-person outpatient visits (per 100 individuals), and the proportion of telehealth visits among all hypertension-related outpatient visits, from January 2019 through March 2022. We used Welch's two-tail t-test to differentiate monthly estimates by rural-urban status and month-to-month changes. RESULTS: From February through April 2020, the monthly number of hypertension-related telehealth visits per 100 individuals increased from 0.01 to 6.05 (P < 0.001) for urban residents and from 0.01 to 4.56 (P < 0.001) for rural residents. Hypertension-related in-person visits decreased from 20.12 to 8.30 (P < 0.001) for urban residents and from 20.48 to 10.15 (P < 0.001) for rural residents. The proportion of hypertension-related telehealth visits increased from 0.04% to 42.15% (P < 0.001) for urban residents and from 0.06% to 30.98% (P < 0.001) for rural residents. From March 2020 to March 2022, the monthly average of the proportions of hypertension-related telehealth visits was higher for urban residents than for rural residents (10.19% vs. 6.96%; P < 0.001). CONCLUSIONS: Data show that rural residents were less likely to use telehealth for hypertension management. Understanding trends in hypertension-related telehealth utilization can highlight disparities in the sustained use of telehealth to advance accessible health care.

MENDS-on-FHIR: Leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.

Objective: The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven's Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline. Materials and Methods: The input data source was a research data warehouse containing clinical and administrative data in OMOP CDM Version 5.3 format. OMOP-to-FHIR transformations, using a unique JavaScript Object Notation (JSON)-to-JSON transformation language called Whistle, created FHIR R4 V4.0.1/US Core IG V4.0.0 conformant resources that were stored in a local FHIR server. A REST-based Bulk FHIR $export request extracted FHIR resources to populate a local MENDS database. Results: Eleven OMOP tables were used to create 10 FHIR/US Core compliant resource types. A total of 1.13 trillion resources were extracted and inserted into the MENDS repository. A very low rate of non-compliant resources was observed. Discussion: OMOP-to-FHIR transformation results passed validation with less than a 1% non-compliance rate. These standards-compliant FHIR resources provided standardized data elements required by the MENDS surveillance use case. The Bulk FHIR application programming interface (API) enabled population-level data exchange using interoperable FHIR resources. The OMOP-to-FHIR transformation pipeline creates a FHIR interface for accessing OMOP data. Conclusion: MENDS-on-FHIR successfully replaced custom ETL with standards-based interoperable FHIR resources using Bulk FHIR. The OMOP-to-FHIR transformations provide an alternative mechanism for sharing OMOP data.

Social Determinants of Health-Related Z Codes and Health Care Among Patients With Hypertension.

Introduction: Tracking social needs can provide information on barriers to controlling hypertension and the need for wraparound services. No recent studies have examined ICD-10-CM social determinants of health-related Z codes (Z55-Z65) to indicate social needs with a focus on patients with hypertension. Methods: Three cohorts were identified with a diagnosis of hypertension during 2016-2017 and continuously enrolled in fee-for-service insurance through June 2021: (1) commercial, age 18-64 years (n=1,024,012); (2) private insurance to supplement Medicare (Medicare Supplement), age ≥65 years (n=296,340); and (3) Medicaid, age ≥18 years (n=146,484). Both the proportion of patients and healthcare encounters or visits with social determinants of health-related Z code were summarized annually. Patient and visit characteristics were summarized for 2019. Results: In 2020, the highest annual documentation of social determinants of health-related Z codes was among Medicaid beneficiaries (3.02%, 0.46% commercial, 0.42% Medicare Supplement); documentation was higher among inpatient than among outpatient visits for all insurance types. Z63 (related to primary support group) was more common among commercial and Medicare Supplement beneficiaries, and Z59 (housing and economic circumstances) was more common among Medicaid beneficiaries. The 2019 total unadjusted medical expenditures were 1.85, 1.78, and 1.61 times higher for those with social determinants of health-related Z code than for those without commercial, Medicare Supplement, and Medicaid, respectively. Patients with social determinants of health-related Z code also had higher proportions of diagnosed chronic conditions. Among Medicaid beneficiaries, differences in the presence of social determinants of health-related Z code by race or ethnicity were observed. Conclusions: Although currently underreported, social determinants of health-related Z codes provide an opportunity to integrate social and medical data and may help decision makers understand the need for additional services among individuals with hypertension.