Blood Pressure Control and Maintenance in a Prospective Cohort of Younger Veterans: Roles of Sex, Race, Ethnicity, and Social Determinants of Health.

Background: Proactive blood pressure (BP) management is particularly beneficial for younger Veterans, who have a greater prevalence and earlier onset of cardiovascular disease than non-Veterans. It is unknown what proportion of younger Veterans achieve and maintain BP control after hypertension onset and if BP control differs by demographics and social deprivation. Methods: Electronic health records were merged from Veterans who enrolled in VA care 10/1/2001-9/30/2017 and met criteria for hypertension - first diagnosis or antihypertensive fill. BP control (140/90 mmHg), was estimated 1, 2, and 5 years post-hypertension documentation, and characterized by sex, race, and ethnicity. Adjusted logistic regressions assessed likelihood of BP control by these demographics and with the Social Deprivation Index (SDI). Results: Overall, 17% patients met criteria for hypertension (n=198,367; 11% of women, median age 41). One year later, 59% of men and 65% of women achieved BP control. After adjustment, women had a 72% greater odds of BP control than men, with minimal change over 5 years. Black adults had a 22% lower odds of BP control than White adults. SDI did not significantly change these results. Conclusions: In the largest study of hypertension in younger Veterans, 41% of men and 35% of women did not have BP control after 1 year, and BP control was consistently better for women through 5 years. Thus, the first year of hypertension management portends future, long-term BP control. As social deprivation did not affect BP control, the VA system may protect against disadvantages observed in the general U.S. population.

Cardiovascular Risk Factor Profiles, Emergency Department Visits, and Hospitalizations for Women and Men with a History of Stroke or Transient Ischemic Attack: A Cross-Sectional Study.

Background: The relationship between cardiovascular disease risk factors (CVD-RFs) and health care utilization may differ by sex. We determined whether having more CVD-RFs was associated with all-cause emergency department (ED) visits and all-cause hospitalizations for women and men with prior stroke/transient ischemic attack (TIA). Materials and Methods: In this cross-sectional study, we used nationally representative Medical Expenditure Panel Survey (2012-2015) data for persons aged ≥18 years with a prior stroke/TIA. CVD-RF summary scores include six self-reported factors (hypertension, diabetes, high cholesterol, physical inactivity, smoking, and obesity). Sex-specific covariate-adjusted logistic regression models assessed associations between CVD-RF scores and having one or more all-cause ED visits and one or more all-cause hospitalizations. Results: The weighted sample represents 9.1 million individuals (mean age 66.6 years; 54.3% women). Prevalence of low (0-1 risk factors), intermediate (2-3), and high (4-6) CVD-RF scores was 19.4%, 60.5%, and 20.1% for women and 14.6%, 60.2%, and 25.2% for men, respectively. Women having intermediate and high scores had a 1.58-fold (95% confidence interval [CI], 1.14-2.18) and 2.21-fold (95% CI, 1.50-3.25) increased odds of ED visits compared with women with low scores. Women with high CVD-RF scores had a 2.18-fold (95% CI, 1.42-3.34) increased odds of hospitalizations, but there was no association for women with intermediate CVD-RF profiles. There was no association between CVD-RF scores and either outcome for men. Conclusions: Women, but not men, with high and intermediate CVD-RF profiles had increased odds of all-cause ED visits; women with high CVD-RF profiles had increased odds of all-cause hospitalizations. The burden of CVD-RFs may be a sex-specific predictor of higher health care utilization in women with a history of stroke/TIA.

Comparison of 3 Devices for 24-Hour Ambulatory Blood Pressure Monitoring in a Nonclinical Environment Through a Randomized Trial.

BACKGROUND: The U.S. Preventive Services Task Force recommends the use of 24-hour ambulatory blood pressure monitoring (ABPM) as part of screening and diagnosis of hypertension. The optimal ABPM device for population-based surveys is unknown. METHODS: We compared the proportion of valid blood pressure (BP) readings, mean awake and asleep BP readings, differences between awake ABPM readings and initial standardized BP readings, and sleep experience among three ABPM devices. We randomized a convenience sample of 365 adults to 1 of 3 ABPM devices: Welch Allyn Mobil-O-Graph (WA), Sun Tech Classic Oscar2 (STO) and Spacelabs 90227 (SL). Participants completed sleep quality questionnaires on the nights before and during ABPM testing. RESULTS: The proportions of valid BP readings were not different among the 3 devices (P > 0.45). Mean awake and asleep systolic BP were significantly higher for STO device (WA vs. STO vs. SL: 126.65, 138.09, 127.44 mm Hg; 114.34, 120.34, 113.13 mm Hg; P < 0.0001 for both). The difference between the initial average standardized mercury systolic BP readings and the ABPM mean awake systolic BP was larger for STO device (WA vs. STO. vs. SL: -5.26, -16.24, -5.36 mm Hg; P < 0.0001); diastolic BP mean differences were ~ -6 mm Hg for all 3 devices (P = 0.6). Approximately 55% of participants reported that the devices interfered with sleep; however, there were no sleep differences across the devices (P > 0.4 for all). CONCLUSION: Most of the participants met the threshold of 70% valid readings over 24 hours. Sleep disturbance was common but did not interfere with completion of measurement in most of the participants.

National Rates of Nonadherence to Antihypertensive Medications Among Insured Adults With Hypertension, 2015.

Despite the importance of antihypertensive medication therapy for blood pressure control, no single data system provides estimates of medication nonadherence rates across age groups and health insurance plans types. Using multiple administrative datasets and national survey data, we determined health insurance plan-specific and overall weighted national rates of nonadherence to antihypertensive medications among insured hypertensive US adults in 2015. We used 2015 prescription claims data from Medicare Part D and 3 IBM MarketScan databases (Commercial, Medicaid, Medicare Supplemental) to calculate medication nonadherence rates among hypertensive adults aged ≥18 years with public or private health insurance using the proportion of days covered algorithm. These findings, in combination with National Health Interview Survey findings, were used to project national weighted estimates of nonadherence. We included 23.8 million hypertensive adults who filled 265.8 million prescriptions for antihypertensive medications. Nonadherence differed by health insurance plan type (highest for Medicaid members, 55.4%; lowest for Medicare Part D members, 25.2%). The overall weighted national nonadherence rate was 31.0%, with greater nonadherence among women versus men, younger versus older adults (aged 18-34 years, 58.1%; aged 65-74 years, 24.4%), fixed-dose combination medication nonusers (31.2%) versus users (29.4%), and by pharmacy outlet type (retail only, 30.7%; any mail order, 19.8%). In 2015, almost one-third (≈16.3 million) of insured US adults with diagnosed hypertension were considered nonadherent to their antihypertensive medication regimen, and considerable disparities were evident. Public health and healthcare professionals can use available evidence-based interventions to address nonadherence and improve blood pressure control.

Association between long-term adherence to class-I recommended medications and risk for potentially preventable heart failure hospitalizations among younger adults.

BACKGROUND: Five guideline-recommended medication categories are available to treat patients who have heart failure (HF) with reduced ejection fraction. However, adherence to these medications is often suboptimal, which places patients at increased risk for poor health outcomes, including hospitalization. We aimed to examine the association between adherence to these medications and potentially preventable HF hospitalizations among younger insured adults with newly diagnosed HF. METHODS AND RESULTS: Using the 2008-2012 IBM MarketScan Commercial database, we followed 26,439 individuals aged 18-64 years with newly diagnosed HF and calculated their adherence (using the proportion of days covered (PDC) algorithm) to the five guideline-recommended medication categories: angiotensin-converting enzyme inhibitors/angiotensin-receptor blockers; beta blockers; aldosterone receptor antagonists; hydralazine; and isosorbide dinitrate. We determined the association between PDC and long-term preventable HF hospitalizations (observation years 3-5) as defined by the United States (U.S.) Agency for Healthcare Research and Quality. Overall, 49.0% of enrollees had good adherence (PDC≥80%), which was more common among enrollees who were older, male, residing in higher income counties, initially diagnosed with HF in an outpatient setting, and who filled prescriptions for fewer medication categories assessed. Adherence differed by medication category and was lowest for isosorbide dinitrate (PDC = 60.7%). In total, 7.6% of enrollees had preventable HF hospitalizations. Good adherers, compared to poor adherers (PDC<40%), were 15% less likely to have a preventable hospitalization (HR 0.85, 95% confidence interval, 0.75-0.96). CONCLUSION: We found that approximately half of insured U.S. adults aged 18-64 years with newly diagnosed HF had good adherence to their HF medications. Patients with good adherence, compared to those with poor adherence, were less likely to have a potentially preventable HF hospitalization 3-5 years after their initial diagnosis. Because HF is a chronic condition that requires long-term management, future studies may want to assess the effectiveness of interventions in sustaining adherence.

Trends and Factors Associated With Concordance Between International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification Codes and Stroke Clinical Diagnoses.

Background and Purpose- International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification (ICD-9-CM and ICD-10-CM) codes are often used for disease surveillance. We examined changes in concordance between ICD-CM codes and clinical diagnoses before and after the transition to ICD-10-CM in the United States (October 1, 2015), and determined if there were systematic variations in concordance by patient and hospital characteristics. Methods- We included Paul Coverdell National Acute Stroke Program patient discharges from 2014 to 2017. Concordance between ICD-CM codes and the clinical diagnosis documented by the physician (assumed as accurate) was calculated for each diagnosis category: ischemic stroke, transient ischemic attack, subarachnoid hemorrhage, and intracerebral hemorrhage. Results- In total, 314 857 patient records were included in the analysis (n=280 hospitals), 55.9% of which were obtained after the transition to ICD-10-CM. While concordance was generally high, a small, and temporary decline occurred from the last calendar quarter of ICD-9-CM (average unadjusted concordance =92.8%) to the first quarter of ICD-10-CM use (91.0%). Concordance differed by diagnosis category and was generally highest for ischemic stroke. In the analysis of ICD-10-CM records, disagreements often occurred between ischemic stroke and transient ischemic attack records and between subarachnoid and intracerebral hemorrhage records. Compared with the smallest hospitals (≤200 beds), larger hospitals had significantly higher odds of concordance (ischemic stroke adjusted odds ratio for ≥400 beds, 1.7; 95% CI, 1.5-1.9). Conclusions- This study identified a small and transient decline in concordance between ICD-CM codes and stroke clinical diagnoses during the coding transition, indicating no substantial impact on the overall identification of stroke patients. Researchers and policymakers should remain aware of potential changes in ICD-CM code accuracy over time, which may affect disease surveillance. Systematic variations in the accuracy of codes by hospital and patient characteristics have implications for quality-of-care studies and hospital comparative assessments.

Use of strategies to improve antihypertensive medication adherence within United States outpatient health care practices, DocStyles 2015-2016.

Patients' adherence to antihypertensive medications is key to controlling high blood pressure. Evidence-based strategies to improve adherence exist, but their use, individually and in combination, has not been described. 2015-2016 DocStyles data were analyzed to describe health care professionals' and their practices' use of 10 strategies to improve antihypertensive medication adherence across 3 categories: prescribing, education, and tracking/encouragement. Among 1590 respondents, a mean of using 5 strategies was reported, with individual strategy use ranging from 17.2% (providing patients adherence-related rewards) to 69.4% (prescribing once-daily regimens). Those with higher odds of using ≥7 strategies and strategies across all 3 categories included: (1) nurse practitioners compared to family practitioners/internists and (2) health care professionals in practices with standardized hypertension treatment protocols who routinely recommend home blood pressure monitor use compared to respondents without those characteristics. Despite using an array of evidence-based adherence-promoting strategies, additional opportunities exist for health care professionals to provide adherence support among hypertensive patients.

Identification of Hospital Cardiac Services for Acute Myocardial Infarction Using Individual Patient Discharge Data.

BACKGROUND: The availability of hospital cardiac services may vary between hospitals and influence care processes and outcomes. However, data on available cardiac services are restricted to a limited number of services collected by the American Hospital Association (AHA) annual survey. We developed an alternative method to identify hospital services using individual patient discharge data for acute myocardial infarction (AMI) in the Premier Healthcare Database. METHODS AND RESULTS: Thirty-five inpatient cardiac services relevant for AMI care were identified using American Heart Association/American College of Cardiology guidelines. Thirty-one of these services could be defined using patient-level administrative data codes, such as International Classification of Diseases, Ninth Revision, Clinical Modification and Current Procedural Terminology codes. A hospital was classified as providing a service if it had ≥5 instances for the service in the Premier database from 2009 to 2011. Using this system, the availability of these services among 432 Premier hospitals ranged from 100% (services such as chest X-ray) to 1.2% (heart transplant service). To measure the accuracy of this method using administrative data, we calculated agreement between the AHA survey and Premier for a subset of 16 services defined by both sources. There was a high percentage of agreement (≥80%) for 11 of 16 (68.8%) services, moderate agreement for 3 of 16 (18.8%) services, and low agreement (≤50%) for 2 of 16 services (12.5%). CONCLUSIONS: The availability of cardiac services for AMI care varies widely among hospitals. Using individual patient discharge data is a feasible method to identify these cardiac services, particularly for those services pertaining to inpatient care.

Accuracy of ICD-9-CM Codes by Hospital Characteristics and Stroke Severity: Paul Coverdell National Acute Stroke Program.

BACKGROUND: Epidemiological and health services research often use International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes to identify patients with clinical conditions in administrative databases. We determined whether there are systematic variations between stroke patient clinical diagnoses and ICD-9-CM codes, stratified by hospital characteristics and stroke severity. METHODS AND RESULTS: We used the records of patients discharged from hospitals participating in the Paul Coverdell National Acute Stroke Program in 2013. Within this stroke-enriched cohort, we compared agreement between the attending physician's clinical diagnosis and principal ICD-9-CM code and determined whether disagreements varied by hospital characteristics (presence of a stroke unit, stroke team, number of hospital beds, and hospital location). For patients with a documented National Institutes of Health Stroke Scale score at admission, we assessed whether diagnostic agreement varied by stroke severity. Agreement was generally high (>89%); differences between the physician diagnosis and ICD-9-CM codes were primarily attributed to discordance between ischemic stroke and transient ischemic attack (TIA), and subarachnoid and intracerebral hemorrhage. Agreement was higher for patients in metropolitan hospitals with stroke units, stroke teams, and >200 beds (all P<0.001). Agreement was lowest (60.3%) for rural hospitals with ≤200 beds and without stroke units or teams. Agreement was also lower for milder (94.9%) versus more-severe (96.4%) ischemic strokes (P<0.001). CONCLUSIONS: We identified disagreements in stroke/TIA coding by hospital characteristics and stroke severity, particularly for milder ischemic strokes. Such systematic variations in ICD-9-CM coding practices can affect stroke case identification in epidemiological studies and may have implications for hospital-level quality metrics.