Cardiovascular Health Research in the Workplace: A Workshop Report.

Heart disease and stroke are the first and fifth leading causes of death in the United States, respectively. Employers have a unique opportunity to promote cardiovascular health, because >60% of US adults are employed, and most spend half of their waking hours at work. Despite the scope of the opportunity, <1 in 5 businesses implement evidence-based, comprehensive workplace health programs, policies, and practices. Integrated, systems-based workplace health approaches that harness data science and technology may have the potential to reach more employees and be cost-effective for employers. To evaluate the role of the workplace in promoting cardiovascular health across the lifespan, the National Heart, Lung, and Blood Institute, the National Institute for Occupational Safety and Health, and the American Heart Association convened a workshop on March 7, 2019, to share best practices, and to discuss current evidence and knowledge gaps, practical application, and dissemination of the evidence, and the need for innovation in workplace health research and practice. This report presents the broad themes discussed at the workshop and considerations for promoting worker cardiovascular health, including opportunities for future research.

Differential impact of cognitive computing augmented by real world evidence on novice and expert oncologists.

INTRODUCTION: Cognitive computing point-of-care decision support tools which ingest patient attributes from electronic health records and display treatment options based on expert training and medical literature, supplemented by real world evidence (RWE), might prove useful to expert and novice oncologists. The concordance of augmented intelligence systems with best medical practices and potential influences on physician behavior remain unknown. METHODS: Electronic health records from 88 breast cancer patients evaluated at a USA tertiary care center were presented to subspecialist experts and oncologists focusing on other disease states with and without reviewing the IBM Watson for Oncology with Cota RWE platform. RESULTS: The cognitive computing "recommended" option was concordant with selection by breast cancer experts in 78.5% and "for consideration" option was selected in 9.4%, yielding agreements in 87.9%. Fifty-nine percent of non-concordant responses were generated from 8% of cases. In the Cota observational database 69.3% of matched controls were treated with "recommended," 11.4% "for consideration", and 19.3% "not recommended." Without guidance from Watson for Oncology (WfO)/Cota RWE, novice oncologists chose 75.5% recommended/for consideration treatments which improved to 95.3% with WfO/Cota RWE. The novices were more likely than experts to choose a non-recommended option (P < .01) without WfO/Cota RWE and changed decisions in 39% cases. CONCLUSIONS: Watson for Oncology with Cota RWE options were largely concordant with disease expert judged best oncology practices, and was able to improve treatment decisions among breast cancer novices. The observation that nearly a fifth of patients with similar disease characteristics received non-recommended options in a real world database highlights a need for decision support.

Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon.

Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, which commonly goes undetected. Continuous glucose monitoring (CGM) devices have enabled prediction of impending nocturnal hypoglycemia, however, prior efforts have been limited to a short prediction horizon (~ 30 minutes). To this end, a nocturnal hypoglycemia prediction model with a 6-hour horizon (midnight-6 am) was developed using a random forest machine- learning model based on data from 10,000 users with more than 1 million nights of CGM data. The model demonstrated an overall nighttime hypoglycemia prediction performance of ROC AUC = 0.84, with AUC = 0.90 for early night (midnight-3 am) and AUC = 0.75 for late night (prediction at midnight, looking at 3-6 am window). While instabilities and the absence of late-night blood glucose patterns introduce predictability challenges, this 6-hour horizon model demonstrates good performance in predicting nocturnal hypoglycemia. Additional study and specific patient-specific features will provide refinements that further ensure safe overnight management of glycemia.

Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients.

In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a broad range of stakeholders invested in the care of older adults to focus on the topic of cognitive health and aging. Summit participants specifically examined questions of who should be screened for cognitive impairment and how they should be screened in medical settings. This is important in the context of an acute illness given that the presence of cognitive impairment can have significant implications for care and for the management of concomitant diseases as well as pose a major risk factor for dementia. Participants arrived at general principles to guide future screening approaches in medical populations and identified knowledge gaps to direct future research. Key learning points of the summit included: recognizing the importance of educating patients and healthcare providers about the value of assessing current and baseline cognition;emphasizing that any screening tool must be appropriately normalized and validated in the population in which it is used to obtain accurate information, including considerations of language, cultural factors, and education; andrecognizing the great potential, with appropriate caveats, of electronic health records to augment cognitive screening and tracking of changes in cognitive health over time.

Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients.

In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a broad range of stakeholders invested in the care of older adults to focus on the topic of cognitive health and aging. Summit participants specifically examined questions of who should be screened for cognitive impairment and how they should be screened in medical settings. This is important in the context of an acute illness given that the presence of cognitive impairment can have significant implications for care and for the management of concomitant diseases as well as pose a major risk factor for dementia. Participants arrived at general principles to guide future screening approaches in medical populations and identified knowledge gaps to direct future research. Key learning points of the summit included: recognizing the importance of educating patients and healthcare providers about the value of assessing current and baseline cognition; emphasizing that any screening tool must be appropriately normalized and validated in the population in which it is used to obtain accurate information, including considerations of language, cultural factors, and education; and recognizing the great potential, with appropriate caveats, of electronic health records to augment cognitive screening and tracking of changes in cognitive health over time.

Early results show WellPoint's patient-centered medical home pilots have met some goals for costs, utilization, and quality.

Primary care must be reengineered to improve outcomes and affordability. To achieve those goals, WellPoint invested in ten patient-centered medical home pilots that encourage care coordination, preventive care, and shared decision making. Two of the three pilots described in this article-in Colorado and New Hampshire-layer incentive payments for care coordination and quality improvement on top of a traditional fee-for-service payment. The third-in New York-pays doctors an enhanced fee that is tied to achievement of quality levels. Preliminary evaluations show encouraging signs that the Colorado and New Hampshire pilots are meeting some cost, utilization, and quality objectives. A full evaluation in all three states is ongoing. To help enable systemwide transformation, WellPoint is now applying similar payment strategies to primary care practices that may not have the resources to become full-fledged medical homes.

Colorado's Patient-Centered Medical Home Pilot met numerous obstacles, yet saw results such as reduced hospital admissions.

The Colorado Multipayer Patient-Centered Medical Home Pilot, which ran from May 2009 through April 2012, was one of the first voluntary multipayer medical home pilot projects in the country. Six health plans, the state's high-risk pool carrier, and sixteen family or internal medicine practices with approximately 100,000 patients participated. Although a full analysis is currently under way, preliminary results show that the pilot significantly reduced emergency department visits and also reduced hospital admissions, particularly for patients with multiple chronic conditions. One payer reported a return on its investment of 250-400 percent in the pilot. However, participants also ran into numerous obstacles. Among them: Many practices were left providing extra services to a large fraction of patients whose employer-sponsored insurance plans declined to pay the enhanced fees necessary to cover the cost of the patient-centered medical home expansion. The experience demonstrates that creating patient-centered medical homes and enabling them to be successful will take strong commitments and collaborative efforts on multiple fronts.

Church-based breast cancer screening education: impact of two approaches on Latinas enrolled in public and private health insurance plans.

INTRODUCTION: The Tepeyac Project is a church-based health promotion project that was conducted from 1999 through 2005 to increase breast cancer screening rates among Latinas in Colorado. Previous reports evaluated the project among Medicare and Medicaid enrollees in the state. In this report, we evaluate the program among enrollees in the state's five major insurance plans. METHODS: We compared the Tepeyac Project's two interventions: the Printed Intervention and the Promotora Intervention. In the first, we mailed culturally tailored education packages to 209 Colorado Catholic churches for their use. In the second, promotoras (peer counselors) in four Catholic churches delivered breast-health education messages personally. We compared biennial mammogram claims from the five insurance plans in the analysis at baseline (1998-1999) and during follow-up (2000-2001) for Latinas who had received the interventions. We used generalized estimating equations (GEE) analysis to adjust rates for confounders. RESULTS: The mammogram rate for Latinas in the Printed Intervention remained the same from baseline to follow-up (58% [2979/5130] vs 58% [3338/5708]). In the Promotora Intervention, the rate was 59% (316/536) at baseline and 61% (359/590) at follow-up. Rates increased modestly over time and varied widely by insurance type. After adjusting for age, income, urban versus rural location, disability, and insurance type, we found that women exposed to the Promotora Intervention had a significantly higher increase in biennial mammograms than did women exposed to the Printed Intervention (GEE parameter estimate = .24 [+/-.11], P = .03). CONCLUSION: For insured Latinas, personally delivering church-based education through peer counselors appears to be a better breast-health promotion method than mailing printed educational materials to churches.

Preferred provider organization claims showed high predictive value but missed substantial proportion of adults with high-risk conditions.

BACKGROUND AND OBJECTIVE: We assessed the validity and utility of a claims-based ICD-9-CM algorithm for identifying preferred provider organization (PPO) enrollees ages 18-64 years at high risk for influenza complications. METHODS: PPO enrollees with >/= 2 encounters in an ambulatory setting or >/= 1 encounters in an inpatient or emergency room setting with ICD-9-CM diagnosis codes for the high-risk conditions were considered algorithm positive. Stratified random sampling was used to select 1,001 algorithm-positive and 330 algorithm-negative enrollees for medical chart abstractions. RESULTS: The prevalence of high-risk conditions using claims data was 2.5% compared to 18.2% according to medical records. The algorithm had a sensitivity of 12% and a specificity of 99%. Positive and negative predictive values were 87 and 84%, respectively. Sensitivity was twofold higher among adults aged 50-64 years than among younger adults (17 vs. 9%). Applying an algorithm definition of >/= 1 encounters in any setting resulted in an increased sensitivity, but captured a higher proportion of false positives. CONCLUSION: A claims-positive record was highly indicative of the presence of high-risk conditions, but such claims missed a large proportion of PPO enrollees with high-risk conditions. It is important to assess the validity of administrative data in different age groups.

Effect of the frequency of delivery of reminders and an influenza tool kit on increasing influenza vaccination rates among adults with high-risk conditions.

OBJECTIVE: To evaluate the incremental effect of a second client reminder postcard or an influenza tool kit targeted toward employers on increasing influenza vaccination rates among adults age < 65 years at high risk for complications from influenza illness. METHODS: In this demonstration study, enrollees of 3 managed care organizations (n = 8881) were randomized at the employer level into 4 arms: 1 postcard, 2 postcards, 1 postcard + tool kit, and 2 postcards + tool kit. The postcards and tool kits were mailed during the fall of 2001, and their effect on influenza vaccination rates was assessed through a survey. RESULTS: Compared with a single postcard, 2 postcards increased vaccination rates by 4 percentage points (adjusted relative risk = 1.05; P < .05) among persons aged 50 to 64 years but did not have any effect among younger adults. Older adults had a greater burden of disease and reported more favorable knowledge and attitudes toward the influenza vaccine. The influenza tool kit did not appear to have any incremental effect on vaccination rates. CONCLUSIONS: Our findings underscore the necessity of evaluating the effectiveness of interventions in different population subgroups and of identifying factors that modify the effectiveness of interventions. Rigorous assessment of intervention effectiveness in managed care settings will enable decision makers to optimize use of scarce healthcare dollars for improving the health and well-being of enrollees.

Smoking cessation in pregnancy: failure of an HMO pilot project to improve guideline implementation.

This pilot project investigated whether a system introduced by a health maintenance organization (HMO) could encourage obstetric providers to implement smoking-cessation guidelines in their offices. Staff from participating offices was trained in cessation counseling and paid $150 for each pregnant smoker counseled. Data were collected from chart review from participating physicians and a telephone survey of all HMO members giving birth before and after program implementation. Eighteen physician practices participated, representing 27 office sites and 80 physicians. Sixty-six staff members were trained in cessation counseling. Chart review revealed that identification of smoking status increased from 90% to 96% (p=0.03), but documentation of advice to quit worsened (62% vs. 24%, p=0.03). The HMO received claims for counseling from four pregnant smokers out of the 21 identified on chart review. The telephone survey revealed a similar prevalence of current smokers in the baseline and post-intervention samples (15% vs. 13%) but more former smokers (11% vs. 22%) in the follow-up. For the HMO as a whole, fewer smokers reported being advised to quit in the follow-up survey (86% vs. 65%). Few smokers reported being counseled to quit at baseline or follow-up (11% vs. 3%). None of the smokers who received obstetric care from a pilot group physician reported awareness of the smoking-cessation benefit despite the placement of brochures in participating offices advertising the program. This pilot project to reimburse for cessation counseling did not increase smoking-cessation advice or counseling in participating physician's offices. Smoking-cessation counseling worsened across the entire HMO obstetric community during the intervention. A more comprehensive systems approach and a larger HMO market share or a partnership among multiple HMOs may be required to increase smoking-cessation guideline implementation.