Health Information Technology Commons^™

Developing A Community-Based Screening And Referral Mechanism For Atrial Fibrillation In Low Resource Settings: “Smartphone Monitoring For Atrial Fibrillation In Real-Time – India (Smart-India)”, Apurv Soni, Nisha Fahey, Harshil Patel, Kandarp Talati, Anna Handorf, John A. Bostrom, Shyamsundar Raihatha, Ravi Shah, Sunil Karna, Robert J. Goldberg, Jeroan J. Allison, Ki Chon, Somashekhar M. Nimbalkar, David D. Mcmanus

Apurv Soni

BACKGROUND: Atrial fibrillation (AF), the world’s most common arrhythmia, often goes undetected and untreated in low-resource communities, including India. Moreover, AF is an important risk factor for stroke, which plagues an estimated 1.6 million Indians annually. As such, early detection of AF and management of high-risk patients is critically important to decrease stroke burden in individuals with AF.

OBJECTIVE: The objectives of this study are to evaluate the age- and sex-stratified epidemiology of AF in Anand District, Gujarat India; characterize the profile of individuals who are diagnosed with AF; and determine the performance of two mobile technologies for community-based AF …

High Burden Of Unrecognized Atrial Fibrillation In Rural India: An Innovative Community-Based Cross-Sectional Screening Program, Apurv Soni, Allison Earon, Anna Handorf, Nisha Fahey, Kandarp Talati, John Bostrom, Ki Chon, Craig Napolitano, Michael S. Chin, John Stephen Sullivan, Shyamsundar Raithatha, Robert J. Goldberg, Somashekhar Nimbalkar, Jeroan J. Allison, Sunil Thanvi, David D. Mcmanus

Apurv Soni

BACKGROUND: Atrial fibrillation, the world's most common arrhythmia, is a leading risk factor for stroke, a disease striking nearly 1.6 million Indians annually. Early detection and management of atrial fibrillation is a promising opportunity to prevent stroke but widespread screening programs in limited resource settings using conventional methods is difficult and costly.

OBJECTIVE: The objective of this study is to screen people for atrial fibrillation in rural western India using a US Food and Drug Administration-approved single-lead electrocardiography device, Alivecor.

METHODS: Residents from 6 villages in Anand District, Gujarat, India, comprised the base population. After obtaining informed consent, a team …

Using Mobile-Based Technology To Screen For Atrial Fibrillation In India, Apurv Soni

Apurv Soni

As part of the mini-symposium entitled "Interdiscipllinary Mobile Health and Sensing Research," this presentation discusses use of a novel smartphone app for cardiovascular screening in rural India.

Discordant Documentation Of Obesity Body Mass Index And Obesity Diagnosis In Electronic Medical Records, Jennifer T. Fink, George L. Morris Iii, Maharaj Singh, David A. Nelson, Renee E. Walker, Ron A. Cisler

Maharaj Singh

Purpose: This study examined concordance between presence of obesity body mass index (BMI), defined as BMI ≥ 30, in the patient’s electronic medical record (EMR) and a documented diagnosis of obesity.

Methods: We conducted a retrospective review of the EMR in a large health care system for a 1-year period (2012). A total of 397,313 patients met the study criteria of having at least one physician visit, being at least 18 years of age, and not being pregnant. Of those, 158,327 (40%) had a recorded BMI ≥ 30. We examined the EMR of these obese patients to determine whether a …

The Mind-Body Connection: The Association Between Adolescent Locus Of Control And Indicators Of Physical Health, C. Brahler, James Cropper

C. Jayne Brahler

Locus of control (LOC) describes an individual’s generalized beliefs or expectancies that their reinforcements are under internal versus external control (1). An individual exhibits either an internal or external LOC. This study examines the link between LOC and selected health risk factors in adolescents. A convenience sample of 167 high school physical education students completed a 13-item LOC questionnaire based on Rotter’s 1966 instrument. Various anthropometric measurements, blood pressure, body mass index (BMI), and body fat were recorded on all subjects. A subsample of 61 female students received blood chemistry analysis that included a lipid profile, hemoglobin A1c (HbA1c), Apo …

Improved Cardiovascular Risk Prediction Using Nonparametric Regression And Electronic Health Record Data, Edward Kennedy, Wyndy Wiitala, Rodney Hayward, Jeremy Sussman

Edward H. Kennedy

Use of the electronic health record (EHR) is expected to increase rapidly in the near future, yet little research exists on whether analyzing internal EHR data using flexible, adaptive statistical methods could improve clinical risk prediction. Extensive implementation of EHR in the Veterans Health Administration provides an opportunity for exploration. Our objective was to compare the performance of various approaches for predicting risk of cerebrovascular and cardiovascular (CCV) death, using traditional risk predictors versus more comprehensive EHR data. Regression methods outperformed the Framingham risk score, even with the same predictors (AUC increased from 71% to 73% and calibration also improved). …