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.

Development of a Hypertension Electronic Phenotype for Chronic Disease Surveillance in Electronic Health Records: Key Analytic Decisions and Their Effects.

INTRODUCTION: Modernizing chronic disease surveillance with electronic health record (EHR) data may provide better data to improve hypertension prevention and control, but no consensus exists for an EHR-based surveillance definition for hypertension. The Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot surveillance system was used to develop and test an electronic phenotype for hypertension. METHODS: We used MENDS data from 1,671,279 patients in Louisiana to examine the effect of different analytic decisions on estimates of hypertension prevalence. Decisions included 1) whether to restrict surveillance to patients with recent blood pressure measurements, 2) varying the number and recency of encounters to define the population at risk of hypertension, 3) how to define hypertension (diagnosis codes, antihypertensive medication, blood pressure measurements, or combinations of these), and 4) how to handle multiple blood pressure measurements on the same day. Results were compared with independent estimates of hypertension prevalence in Louisiana from the Behavioral Risk Factor Surveillance System (BRFSS). RESULTS: Applying varying criteria resulted in hypertension prevalence estimates ranging from 19.7% to 59.3%. A hypertension surveillance strategy that includes a population with at least 1 clinical encounter with measured blood pressure in the previous 2 years and identifies hypertension using all available data (≥1 diagnosis code, ≥1 antihypertensive medication, and ≥2 elevated blood pressure values ≥140/90 mm Hg on separate days) generated estimates in line with population-based survey data. This definition estimated the crude 2019 hypertension prevalence in the state of Louisiana as 43.4% (age-adjusted, 41.0%), comparable with the crude BRFSS estimate of 39.7% (age adjusted, 37.1%). CONCLUSION: Applying different criteria to define hypertension using EHR data has a large effect on hypertension prevalence estimates. The proposed electronic phenotype generates hypertension prevalence estimates that align with independent estimates from BRFSS.

Leveraging Electronic Health Record Data for Timely Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.

CONTEXT: Electronic health record (EHR) data can potentially make chronic disease surveillance more timely, actionable, and sustainable. Although use of EHR data can address numerous limitations of traditional surveillance methods, timely surveillance data with broad population coverage require scalable systems. This report describes implementation, challenges, and lessons learned from the Multi-State EHR-Based Network for Disease Surveillance (MENDS) to help inform how others work with EHR data to develop distributed networks for surveillance. PROGRAM: Funded by the Centers for Disease Control and Prevention (CDC), MENDS is a data modernization demonstration project that aims to develop a timely national chronic disease sentinel surveillance system using EHR data. It facilitates partnerships between data contributors (health information exchanges, other data aggregators) and data users (state and local health departments). MENDS uses query and visualization software to track local emerging trends. The program also uses statistical and geospatial methods to generate prevalence estimates of chronic disease risk measures at the national and local levels. Resulting data products are designed to inform public health practice and improve the health of the population. IMPLEMENTATION: MENDS includes 5 partner sites that leverage EHR data from 91 health system and clinic partners and represents approximately 10 million patients across the United States. Key areas of implementation include governance, partnerships, technical infrastructure and support, chronic disease algorithms and validation, weighting and modeling, and workforce education for public health data users. DISCUSSION: MENDS presents a scalable distributed network model for implementing national chronic disease surveillance that leverages EHR data. Priorities as MENDS matures include producing prevalence estimates at various geographic and subpopulation levels, developing enhanced data sharing and interoperability capacity using international data standards, scaling the network to improve coverage nationally and among underrepresented geographic areas and subpopulations, and expanding surveillance of additional chronic disease measures and social determinants of health.

Cruise Ship Travel in the Era of Coronavirus Disease 2019 (COVID-19): A Summary of Outbreaks and a Model of Public Health Interventions.

BACKGROUND: Cruise travel contributed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission when there were relatively few cases in the United States. By 14 March 2020, the Centers for Disease Control and Prevention (CDC) issued a No Sail Order suspending US cruise operations; the last US passenger ship docked on 16 April. METHODS: We analyzed SARS-CoV-2 outbreaks on cruises in US waters or carrying US citizens and used regression models to compare voyage characteristics. We used compartmental models to simulate the potential impact of 4 interventions (screening for coronavirus disease 2019 (COVID-19) symptoms; viral testing on 2 days and isolation of positive persons; reduction of passengers by 40%, crew by 20%, and reducing port visits to 1) for 7-day and 14-day voyages. RESULTS: During 19 January to 16 April 2020, 89 voyages on 70 ships had known SARS-CoV-2 outbreaks; 16 ships had recurrent outbreaks. There were 1669 reverse transcription polymerase chain reaction (RT-PCR)-confirmed SARS-CoV-2 infections and 29 confirmed deaths. Longer voyages were associated with more cases (adjusted incidence rate ratio, 1.10, 95% confidence interval [CI]: 1.03-1.17, P < .003). Mathematical models showed that 7-day voyages had about 70% fewer cases than 14-day voyages. On 7-day voyages, the most effective interventions were reducing the number of individuals onboard (43.3% reduction in total infections) and testing passengers and crew (42% reduction in total infections). All four interventions reduced transmission by 80.1%, but no single intervention or combination eliminated transmission. Results were similar for 14-day voyages. CONCLUSIONS: SARS-CoV-2 outbreaks on cruises were common during January-April 2020. Despite all interventions modeled, cruise travel still poses a significant SARS-CoV-2 transmission risk.

Who Are the Undiagnosed? Disparities in Hypertension Diagnoses in Vulnerable Populations.

This study builds upon a project that developed clinical criteria to identify undiagnosed hypertension patients "hiding in plain sight" (HIPS) by examining patient characteristics to understand whether there are disparities in hypertension diagnosis. We examined electronic health record demographic data for patients identified by the HIPS criteria and subgroups at 3 Missouri health centers. Identified patients who returned for a follow-up visit and were subsequently diagnosed with hypertension tended to be older, black/African American, uninsured, and classified as having obesity. Younger, white, healthy weight females were less likely to be diagnosed. These findings point to exploring possible biases/other nonclinical factors in hypertension diagnosis.

Vital Signs: State-Level Variation in Nonfatal and Fatal Cardiovascular Events Targeted for Prevention by Million Hearts 2022.

INTRODUCTION: Despite its preventability, cardiovascular disease remains a leading cause of morbidity, mortality, and health care costs in the United States. This study describes the burden, in 2016, of nonfatal and fatal cardiovascular events targeted for prevention by Million Hearts 2022, a national initiative working to prevent one million cardiovascular events during 2017-2021. METHODS: Emergency department (ED) visits and hospitalizations were identified using Healthcare Cost and Utilization Project databases, and deaths were identified using National Vital Statistics System data. Age-standardized Million Hearts-preventable event rates and hospitalization costs among adults aged ≥18 years in 2016 are described nationally and across states, as data permit. Expected 2017-2021 event totals and hospitalization costs were estimated assuming 2016 values remain unchanged. RESULTS: Nationally, in 2016, 2.2 million hospitalizations (850.9 per 100,000 population) resulting in $32.7 billion in costs, and 415,480 deaths (157.4 per 100,000) occurred. Hospitalization and mortality rates were highest among men (989.6 and 172.3 per 100,000, respectively) and non-Hispanic blacks (211.6 per 100,000, mortality only) and increased with age. However, 805,000 hospitalizations and 75,245 deaths occurred among adults aged 18-64 years. State-level variation occurred in rates of ED visits (from 56.4 [Connecticut] to 274.8 per 100,000 [Kentucky]), hospitalizations (484.0 [Wyoming] to 1670.3 per 100,000 [DC]), and mortality (111.2 [Vermont] to 267.3 per 100,000 [Mississippi]). Approximately 16.3 million events and $173.7 billion in hospitalization costs could occur during 2017-2021 without preventive intervention. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Million Hearts-preventable events place a considerable health and economic burden on the United States. With coordinated efforts, many of these events could be prevented in every state to achieve the initiative's goal.

Vital Signs: Prevalence of Key Cardiovascular Disease Risk Factors for Million Hearts 2022 - United States, 2011-2016.

INTRODUCTION: Despite decades-long reductions in cardiovascular disease (CVD) mortality, CVD mortality rates have recently plateaued and even increased in some subgroups, and the prevalence of CVD risk factors remains high. Million Hearts 2022, a 5-year initiative, was launched in 2017 to address this burden. This report establishes a baseline for the CVD risk factors targeted for reduction by the initiative during 2017-2021 and highlights recent changes over time. METHODS: Risk factor prevalence among U.S. adults was assessed using data from the National Health and Nutrition Examination Survey, National Survey on Drug Use and Health, and National Health Interview Survey. Multivariate analyses were performed to assess differences in prevalence during 2011-2012 and the most recent cycle of available data, and across subgroups. RESULTS: During 2013-2014, the prevalences of aspirin use for primary and secondary CVD prevention were 27.4% and 74.9%, respectively, and of statin use for cholesterol management was 54.5%. During 2015-2016, the average daily sodium intake was 3,535 mg/day and the prevalences of blood pressure control, combustible tobacco use, and physical inactivity were 48.5%, 22.3%, and 29.1%, respectively. Compared with 2011-2012, significant decreases occurred in the prevalences of combustible tobacco use and physical inactivity; however, a decrease also occurred for aspirin use for primary or secondary prevention. Disparities in risk factor prevalences were observed across age groups, genders, and racial/ethnic groups. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Millions of Americans have CVD risk factors that place them at increased risk for having a cardiovascular event, despite the existence of proven strategies for preventing or managing CVD risk factors. A concerted effort to implement these strategies will be needed to prevent one million acute cardiovascular events during the 5-year initiative.

Public Awareness of Health-Related Risks From Uncontrolled Hypertension.

Uncontrolled hypertension, a common disorder, is associated with increased long-term risk of several serious conditions. Awareness of the health risks of uncontrolled hypertension is not well understood. We used data from a nationwide panel survey to assess the awareness of risk associated with uncontrolled hypertension, stratified by cardiovascular disease risk factors. Awareness of increased risk from uncontrolled hypertension was high for some outcomes (heart attack, heart failure, stroke), and low for others (kidney disease, dementia). Several disparities in awareness were found. Complementary clinical and public health interventions could be instituted to increase awareness and target people who are high risk.

Using electronic clinical quality measure reporting for public health surveillance.

By June 2013, three fourths of office-based practicing physicians in the United States had adopted some form of electronic health record (EHR) system. With greater EHR use, more health data are linked with available patient demographic information in a format that is easily retrievable and collected at the point of care. This highlights the potential of electronic clinical quality measure (CQM) reporting data for use in monitoring population health for those receiving health care services. To assess this possibility, electronic CQM data that were submitted to the Medicare EHR Incentive Program were analyzed to assess provider progress toward achieving blood pressure control among their patients with hypertension. Approximately 63,000 health care providers reported at least 1 time over 3 years, representing approximately 17 million patients with hypertension. On average, 62% of patients with hypertension had controlled blood pressure. Use of EHR data for public health surveillance could streamline reporting, facilitating more timely and possibly more complete data collection in key areas of public health concern.

Million hearts: prevalence of leading cardiovascular disease risk factors--United States, 2005-2012.

Each year, approximately 1.5 million U.S. adults have a heart attack or stroke, resulting in approximately 30 deaths every hour and, for nonfatal events, often leading to long-term disability. Overall, an estimated 14 million survivors of heart attacks and strokes are living in the United States. In 2011, the U.S. Department of Health and Human Services, in collaboration with nonprofit and private organizations, launched Million Hearts (http://www.millionhearts.hhs.gov), an initiative focused on implementing clinical and community-level evidence-based strategies to reduce cardiovascular disease (CVD) risk factors and prevent a total of 1 million heart attacks and strokes during the 5-year period 2012-2016. From 2005-2006 to the period with the most current data, analysis of the Million Hearts four "ABCS" clinical measures (for aspirin, blood pressure, cholesterol, and smoking) showed 1) no statistically significant change in the prevalence of aspirin use for secondary prevention (53.8% in 2009-2010), 2) an increase to 51.9% in the prevalence of blood pressure control (in 2011-2012), 3) an increase to 42.8% in the prevalence of cholesterol management (in 2011-2012), and 4) no statistically significant change in the prevalence of smoking assessment and treatment (22.2% in 2009-2010). In addition, analysis of two community-level indicators found 1) a decrease in current tobacco product smoking (including cigarette, cigar, or pipe use) prevalence to 25.1% in 2011-2012 and 2) minimal change in mean daily sodium intake (3,594 mg/day in 2009-2010). Although trends in some measures are encouraging, further reductions of CVD risk factors will be needed to meet Million Hearts goals by 2017.

Progress of health plans toward meeting the million hearts clinical target for high blood pressure control - United States, 2010-2012.

High blood pressure is a major cardiovascular disease risk factor and contributed to >362,895 deaths in the United States during 2010. Approximately 67 million persons in the United States have high blood pressure, and only half of those have their condition under control. An estimated 46,000 deaths could be avoided annually if 70% of patients with high blood pressure were treated according to published guidelines. To assess blood pressure control among persons with health insurance, CDC and the National Committee for Quality Assurance (NCQA) examined data in the 2010-2012 Healthcare Effectiveness Data and Information Set (HEDIS). In 2012, approximately 113 million adults aged 18-85 years were covered by health plans measured by HEDIS. The HEDIS controlling blood pressure (CBP) performance measure is the proportion of enrollees with a diagnosis of high blood pressure confirmed in their medical record whose blood pressure is controlled. Overall, only 64% of enrollees with diagnosed high blood pressure in HEDIS-reporting plans had documentation that their blood pressure was controlled. Although these findings signal that additional work is needed to meet the 70% target, modest improvements since 2010, coupled with focused efforts, might make it achievable.

Improving blood pressure control in a large multiethnic California population through changes in health care delivery, 2004-2012.

The Kaiser Permanente Southern California (Kaiser) health care system succeeded in improving hypertension control in a multiethnic population by adopting a series of changes in health care delivery. Data from the Healthcare Effectiveness Data and Information Set (HEDIS) was used to assess blood pressure control from 2004 through 2012. Hypertension control increased overall from 54% to 86% during that period, and 80% or more in every subgroup, regardless of race/ethnicity, preferred language, or type of health insurance plan. Health care delivery changes improved hypertension control across a large multiethnic population, which indicates that health care systems can achieve a clinical target goal of 70% for hypertension control in their populations.

Air Quality Perceptions, Awareness, and Associated Behaviors Among U.S. Adults With and Without Heart Disease.

Introduction: Exposure to ambient air pollution can worsen cardiovascular disease and increase the risk of stroke, myocardial infarction, and cardiovascular disease mortality. Strategies to reduce air pollution exposure can therefore help prevent cardiovascular morbidity and mortality. This study was conducted to assess the awareness among U.S. adults of the effect of air pollution on cardiovascular health and actions individuals can take to reduce their air pollution exposure. Methods: In May-July 2022, 4,156 adults responded to the summer wave of the 2022 ConsumerStyles survey and self-reported their heart disease status and perceptions, awareness, and behaviors about ambient air pollution and health. In 2023, the data were analyzed to generate weighted population estimates representative of noninstitutionalized U.S. adults. Associations between heart disease and responses about perceptions, awareness, and behaviors were estimated using binomial and multinomial regression methods for weighted data. Results: Overall, 90% of the weighted population estimate of U.S. adults reported that air pollution can impact a person's health, and 44% reported that air pollution can cause or worsen heart disease. Percentages of adults reporting that air pollution can impact a person's health (prevalence ratio=1.09; 95% CI=1.06, 1.12) and that air pollution can cause or worsen heart disease (prevalence ratio=1.28; 95% CI=1.08, 1.51) were higher among adults with than without heart disease. Conclusions: Less than half of U.S. adults are aware that air pollution affects heart disease. Improvements in awareness of the effect of air pollution on cardiovascular health and strategies to reduce exposure could help protect individuals with heart disease.

Changes in Self-Measured Blood Pressure Monitoring Use in 14 States From 2019 to 2021: Impact of the COVID-19 Pandemic.

BACKGROUND: Self-measured blood pressure monitoring (SMBP) is an important out-of-office resource that is effective in improving hypertension control. Changes in SMBP use during the Coronavirus Disease 2019 (COVID-19) pandemic have not been described previously. METHODS: Behavioral Risk Factor Surveillance System (BRFSS) data were used to quantify changes in SMBP use between 2019 (prior COVID-19 pandemic) and 2021 (during the COVID-19 pandemic). Fourteen states administered the SMBP module in both years. All data were self-reported from adults who participated in the BRFSS survey. We assessed the receipt of SMBP recommendations from healthcare professionals and actual use of SMBP among those with hypertension (n = 68,820). Among those who used SMBP, we assessed SMBP use at home and sharing BP readings electronically with healthcare professionals. RESULTS: Among adults with hypertension, there was no significant changes between 2019 and 2021 in those reporting SMBP use (57.0% vs. 55.7%) or receiving recommendations from healthcare professionals to use SMBP (66.4% vs. 66.8%). However, among those who used SMBP, there were significant increases in use at home (87.7% vs. 93.5%) and sharing BP readings electronically (8.6% vs. 13.1%) from 2019 to 2021. Differences were noted by demographic characteristics and residence state. CONCLUSIONS: Receiving a recommendation from the healthcare provider to use SMBP and actual use did not differ before and during the COVID-19 pandemic. However, among those who used SMBP, home use and sharing BP readings electronically with healthcare professional increased significantly, although overall sharing remained low (13.1%). Maximizing advances in virtual connections between clinical and community settings should be leveraged for improved hypertension management.

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.

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.

Self-Measured Blood Pressure Telemonitoring Programs: A Pragmatic How-to Guide.

Self-measured blood pressure (SMBP) telemonitoring is the process of securely storing and tele-transmitting reliably measured, patient self-performed blood pressure (BP) measurements to healthcare teams, while ensuring that these data are viewable and clinically actionable for the purposes of improving hypertension diagnosis and management. SMBP telemonitoring is a vital component of an overall hypertension control strategy. Herein, we present a pragmatic guide for implementing SMBP in clinical practice and provide a comprehensive list of resources to assist with implementation. Initial steps include defining program goals and scope, selecting the target population, staffing, choosing appropriate (clinically validated) BP devices with proper cuff sizes, and selecting a telemonitoring platform. Adherence to recommended data transmission, security, and data privacy requirements is essential. Clinical workflow implementation involves patient enrollment and training, review of telemonitored data, and initiating or titrating medications in a protocolized fashion based upon this information. Utilizing a team-based care structure is preferred and calculation of average BP for hypertension diagnosis and management is important to align with clinical best practice recommendations. Many stakeholders in the United States are engaged in overcoming challenges to SMBP program adoption. Major barriers include affordability, clinician and program reimbursement, availability of technological elements, challenges with interoperability, and time/workload constraints. Nevertheless, it is anticipated that uptake of SMBP telemonitoring, still at a nascent stage in many parts of the world, will continue to grow, propagated by increased clinician familiarity, broader platform availability, improvements in interoperability, and reductions in costs that occur with scale, competition, and technological innovation.