Comparison of examination-based and self-reported risk factors for cardiovascular disease, Washington State, 2006-2007

Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms

Introduction:

The New York City (NYC) Macroscope is an electronic health record (EHR) surveillance system based on a distributed network of primary care records from the Hub Population Health System. In a previous 3-part series published in eGEMS, we reported the validity of health indicators from the NYC Macroscope; however, questions remained regarding their generalizability to other EHR surveillance systems.

Methods:

We abstracted primary care chart data from more than 20 EHR software systems for 142 participants of the 2013–14 NYC Health and Nutrition Examination Survey who did not contribute data to the NYC Macroscope. We then computed the sensitivity and specificity for indicators, comparing data abstracted from EHRs with survey data.

Results:

Obesity and diabetes indicators had moderate to high sensitivity (0.81–0.96) and high specificity (0.94–0.98). Smoking status and hypertension indicators had moderate sensitivity (0.78–0.90) and moderate to high specificity (0.88–0.98); sensitivity improved when the sample was restricted to records from providers who attested to Stage 1 Meaningful Use. Hyperlipidemia indicators had moderate sensitivity (≥0.72) and low specificity (≤0.59), with minimal changes when restricting to Stage 1 Meaningful Use.

Discussion:

Indicators for obesity and diabetes used in the NYC Macroscope can be adapted to other EHR surveillance systems with minimal validation. However, additional validation of smoking status and hypertension indicators is recommended and further development of hyperlipidemia indicators is needed.

Conclusion:

Our findings suggest that many of the EHR-based surveillance indicators developed and validated for the NYC Macroscope are generalizable for use in other EHR surveillance systems.

Coronary artery bypass graft patients' perception about the risk factors of illness: Educational necessities of second prevention

Background:

Patients’ beliefs about the cause of cardiac disease (perceived risk factors) as part of the global psychological presentation are influenced by patients’ health knowledge. Hence, the present study aimed to assess the relationship between actual and perceived risk factors, identification of underestimated risk factors, and indication of underestimation of every risk factor.

Materials and Methods:

In this cross-sectional study, data of 313 coronary artery bypass graft (CABG) patients admitted to one hospital in the west of Iran were collected through a demographic interview, actual risk factors’ checklist, open single item of perceived risk factors, and a life stressful events scale. Data were analyzed by means of Spearman's correlation coefficients and one-sample Z-test for proportions.

Results:

Although there are significant relations between actual and perceived risk factors related to hypertension, family history, diabetes, smoking, and substance abuse (P < 0.05), there is no relation between the actual and perceived risk factors, and patients underestimate the role of actual risk factors in disease (P < 0.001). The patients underestimated the role of aging (98.8%), substance abuse (95.2%), overweight and obesity (94.9%), hyperlipidemia (93.1%), family history (90.3%), and hypertension (90%) more than diabetes (86.1%), smoking (72.5%), and stress (54.7%).

Conclusion:

Cardiac patients seem to underestimate the role of aging, substance abuse, obesity and overweight, hyperlipidemia, family history, and hypertension more than other actual risk factors. Therefore, these factors should be highlighted to patients to help them to (i) increase the awareness of actual risk factors and (ii) promote an appropriate lifestyle after CABG surgery.

Obesity prevalence by occupation in Washington State, Behavioral Risk Factor Surveillance System

Introduction

Data that estimate the prevalence of and risk factors for worker obesity by occupation are generally unavailable and could inform the prioritization of workplace wellness programs. The aims of this study were to estimate the prevalence of obesity by occupation, examine the association of occupational physical activity and a range of health behaviors with obesity, and identify occupations in which workers are at high risk of obesity in Washington State.

Methods

We conducted descriptive and multivariable analyses among 37,626 employed Washington State respondents using the Behavioral Risk Factor Surveillance System in odd numbered years, from 2003 through 2009. We estimated prevalence and prevalence ratios (PRs) by occupational groups adjusting for demographics, occupational physical activity level, smoking, fruit and vegetable consumption, and leisure-time physical activity (LPTA).

Results

Overall obesity prevalence was 24.6% (95% confidence interval [CI], 24.0–25.1). Workers in protective services were 2.46 (95% CI, 1.72–3.50) times as likely to be obese as workers in health diagnosing occupations. Compared with their counterparts, workers who consumed adequate amounts of fruits and vegetables and had adequate LTPA were significantly less likely to be obese (PR = 0.91; 95% CI, 0.86–0.97 and PR = 0.63; 95% CI, 0.60–0.67, respectively). Workers with physically demanding occupational physical activity had a lower PR of obesity (PR = 0.83; 95% CI, 0.78–0.88) than those with nonphysically demanding occupational physical activity.

Conclusion

Obesity prevalence and health risk behaviors vary substantially by occupation. Employers, policy makers, and health promotion practitioners can use our results to target and prioritize workplace obesity prevention and health behavior promotion programs.

The Mississippi Delta Cardiovascular Health Examination Survey: Study Design and Methods

Assessment of cardiovascular disease (CVD) morbidity and mortality in subnational areas is limited. A model for regional CVD surveillance is needed, particularly among vulnerable populations underrepresented in current monitoring systems. The Mississippi Delta Cardiovascular Health Examination Survey (CHES) is a population-based, cross-sectional study on a representative sample of adults living in the 18-county Mississippi Delta region, a rural, impoverished area with high rates of poor health outcomes and marked health disparities. The primary objectives of Delta CHES are to (1) determine the prevalence and distribution of CVD and CVD risk factors using self-reported and directly measured health metrics and (2) to assess environmental perceptions and existing policies that support or deter healthy choices. An address-based sampling frame is used for household enumeration and participant recruitment and an in-home data collection model is used to collect survey data, anthropometric measures, and blood samples from participants. Data from all sources will be merged into one analytic dataset and sample weights developed to ensure data are representative of the Mississippi Delta region adult population. Information gathered will be used to assess the burden of CVD and guide the development, implementation, and evaluation of cardiovascular health promotion and risk factor control strategies.