Health Information Technology Commons^™

Enhancing Foot Care Education And Support Strategies In Adults With Type 2 Diabetes, Hsiao-Hui Ju, Madelene Ottosen, Jeffery Alford, Jed Jularbal, Constance Johnson

Faculty, Staff and Student Publications

BACKGROUND: People with diabetes are susceptible to serious and disabling foot complications, which increase their morbidity and mortality rates. Examining the perspectives of people with diabetes on their foot care routines could help elucidate their beliefs and offer practical ways to prevent foot problems.

PURPOSE: We explored the perspectives of adults with diabetes on their foot care practices to identify and enhance foot care education and support strategies.

METHODOLOGY: Using the Zoom platform, 29 adults with diabetes completed a 3-month telehealth educational program, during which interviews were conducted. This article reports the results of thematic content analysis of the qualitative …

April / May / June 2024, Randy Curry, Cindy Brooks

RURAL ROCKS

This is the April, May, and June issue of Rural Rocks from the SWOSU College of Pharmacy.

Predicting Mild Cognitive Impairment Through Ambient Sensing And Artificial Intelligence, Ah-Hwee Tan, Weng Yan Ying, Budhitama Subagdja, Anni Huang, Shanthoshigaa D, Tony Chin-Ian Tay, Iris Rawtaer

Research Collection School Of Computing and Information Systems

This paper reports an emerging application leveraging ambient and artificial intelligence techniques for in-home sensing and cognitive health assessment. The application involves a prospective longitudinal study, wherein non-pervasive sensing devices are installed in homes of over 63 real users undergoing clinical cognitive assessment, and digital signals of the users’ activities and behaviour are transmitted to a central cloud-based data server for further processing and analysis. Based on the sensor readings, we identify a set of digital biomarkers covering four key aspects of daily living, namely physical, activity, cognitive, and sleep, and develop a suite of customized feature extraction methods for …

June 2024, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

June is Alzheimer’s and Brain Awareness Month

Alzheimer’s and Brain Awareness Month is a time to share facts about Alzheimer’s disease and other dementias that affect the brain.

Us Filipino Adults Have Elevated Prevalence Of Hypertension Across The Adult Lifespan: Findings From A Cross-Sectional Electronic Health Record Study, Nancy P Gordon, Irvin C Lien, Jamal S Rana, Joan C Lo

Faculty, Staff and Student Publications

INTRODUCTION: The prevalence of hypertension increases with age and differs by race and ethnicity. Among U.S. Asian adults, prevalence is higher for Filipino adults than for other major Asian subgroups, but whether this disparity exists across the adult lifespan is unknown. This study examined hypertension prevalence by age decade, comparing Filipino adults with South Asian, Chinese, Black, Hispanic, and White adults.

METHODS: This cross-sectional study used 2015-2016 electronic health record data from a Northern California integrated healthcare delivery system for 1,839,603 adults aged 30-79 years, including 128,124 Filipino adults. Hypertension was defined by diagnosis codes. Sex-specific prevalence was calculated by …

Optimizing Social Determinant Of Health Concept Extraction, Niharika Singh

Theses

Generative Artificial Intelligence has recently garnered enormous attention for a varied number of reasons, one of them being its capacity to automate complex tasks. As the potential for integrating Generative Artificial Intelligence across technology, media, and healthcare grows, many tasks previously reliant on manual or algorithm-intensive methods can be simplified significantly. One such challenge is concept extraction, which is a labor-intensive process, especially when performed manually for building robust ontologies. It involves analyzing text to identify and extract relevant concepts, key phrases, entities, and relationships between these entities. This thesis explores various challenges of concept extraction from the ABCD (Adolescent …

Multi-Class Emotion Classification With Xgboost Model Using Wearable Eeg Headband Data, James Khamthung, Nibhrat Lohia, Seement Srivastava

SMU Data Science Review

Electroencephalography (EEG) or brainwave signals serve as a valuable source for discerning human activities, thoughts, and emotions. This study explores the efficacy of EXtreme Gradient Boosting (XGBoost) models in sentiment classification using EEG signals, specifically those captured by the MUSE EEG headband. The MUSE device, equipped with four EEG electrodes (TP9, AF7, AF8, TP10), offers a cost-effective alternative to traditional EEG setups, which often utilize over 60 channels in laboratory-grade settings. Leveraging a dataset from previous MUSE research (Bird, J. et al., 2019), emotional states (positive, neutral, and negative) were observed in a male and a female participant, each for …

A Pilot Acceptability Evaluation Of Mommind: A Digital Health Intervention For Peripartum Depression Prevention And Management Focused On Health Disparities, Alexandra Zingg, Amy Franklin, Angela Ross, Sahiti Myneni

Faculty, Staff and Student Publications

Health disparities cause significant strain on the wellbeing of individuals and society. In this study, we focus on the health disparities present in the condition of Peripartum Depression (PPD), a significant public health issue. While PPD can be managed through therapy and medication, many women do not receive adequate PPD treatment due to issues of social stigma and limited access to healthcare resources. Digital health technologies can offer practical tools for PPD management. However, current solutions do not integrate behavior theory and are rarely responsive to the transient information needs stemming from women's unique sociodemographic, clinical and psychosocial profiles. We …

Desvenlafaxine Induced Acute Angle-Closure Glaucoma - Case Report, Venkatesh Babu Dr, Priyankha Kothandaraman Dr, Megha Sadashiv Dr., Kishor M

Digital Journal of Clinical Medicine

The World Health Organization (WHO) estimates that Depressive disorder affects more than 264 million people worldwide. The global prevalence of depression among those who are aged 18 years and older was approximately 4.4%. According to a 2017 study by India's National Institute of Mental Health and Neuroscience s (NIMHANS), 7.5% of the population in the nation suffers from depression affecting one in 20 Indians_[1].

SSRIs ( Selective Serotonin Re uptake Inhibitors) and SNRIs ( serotonin-nor epinephrine re uptake inhibitors) are increasingly the first-line choices of anti-depressant because of their tolerable side-effect profile and low rate of lethality if …

Exploring The Perceptions Of Adolescents And Young Adults With Sickle Cell Disease Regarding The Use Of A Mhealth Technology App To Support Their Transition From Pediatric To Adult Care And Adult Self-Management Practices, Jamillah Mansaray

Seton Hall University Dissertations and Theses (ETDs)

Background and Purpose of the Study: The transition from pediatric to adult self- care management practices for Adolescents and Young Adults (AYAs) with SCD is a pivotal period in their life. According to the literature, there is a positive interest and intention toward utilizing mHealth technology apps to support the transition and adult self-management practices. However, mHealth technology apps with appropriate SCD transition and adult self-management features does not currently exist for the AYA population and has not been reported on in the literature. The purpose of thisembedded mixed method study is to explore in AYA’s with SCD, …

A Causal Relationship Between Mobile Health Wearable Devices’ Use And Improved Hypertension Management In African-Born Immigrants Aged 45-75 In Maricopa County, Arizona, Nelson Mcnova Bryant

Doctoral Dissertations and Projects

The purpose of this causal-comparative study was to determine if differences exist between the use of mHealth wearable devices, specifically smartwatches, and the improvement in hypertension control. The target participants were 100 African-born immigrants, both males and females aged 45-75 who lived in Maricopa County, Arizona. In the study, 100 research participants with a hypertension diagnosis were divided into two equal groups. Group 1 consisted of 50 African-born immigrants who used mHealth wearable devices, specifically the Dafit M2 smartwatches to manage hypertension (which they received for free from the researcher). Group 2 consisted of 50 African-born immigrants who used a …

Evaluating On-Screen Edit Checks For Improving The Quality Of Healthcare Data, Emel Seker

Theses and Dissertations

This study investigates the impact of on-screen edit checks (OSECs) on reducing data entry errors in Electronic Data Capture (EDC) systems, addressing a gap in existing literature on the efficacy of OSECs. Employing a crossover experimental design, the research utilizes deidentified neonatal opioid withdrawal data from the ACT NOW CE study. Twenty participants were divided into two arms to enter data into an electronic case report form (eCRF): one arm began with OSECs enabled and the other without and transitioned to the opposite halfway through. Each participant processed 20 cases, yielding a total of 130,815 data points across 285 questions …

Charting The Covid Long Haul Experience - A Longitudinal Exploration Of Symptoms, Activity, And Clinical Adherence, Jessica Pater, Shaan Chopra, Jeanee Carroll, Juliette Zaccour, Fayika Farhat Nova, Tammy Toscos, Shion Guha Ms, Phd, Fenlei Chang Md, Phd

Health Services and Informatics Research

COVID Long Haul (CLH) is an emerging chronic illness with varied patient experiences. Our understanding of CLH is often limited to data from electronic health records (EHRs), such as diagnoses or problem lists, which do not capture the volatility and severity of symptoms or their impact. To better understand the unique presentation of CLH, we conducted a 3-month long cohort study with 14 CLH patients, collecting objective (EHR, daily Fitbit logs) and subjective (weekly surveys, interviews) data. Our findings reveal a complex presentation of symptoms, associated uncertainty, and the ensuing impact CLH has on patients’ personal and professional lives. We …

Dnp Final Report: Effects Of Open-Access Scheduling On Patient No-Show Rates In An Outpatient Clinic, Maria Aileen A. Wilkinson Msn, Mba, Rn

DNP Final Reports

No-show rates in a South Texas outpatient clinic have been as high as 16% to 20% which increases wait times to be seen in the clinic and decreases patient access to outpatient care. This no-show rate data has continued despite multiple interventions that have been implemented in an academic health science center. Physical, socio-economic, geographic, and health/lifestyle factors affecting no show or missed appointments are crucial to determining the most appropriate interventions to alleviate this issue. No-show rates are important metrics to improve because it directly affects the organization's revenue, access to care, and appointment wait times. Research evidence regarding …

Emotion Regulation Strategies And Perceived Emotional Intelligence: The Effect Of Age., Iwanna Sepiadou

Adultspan Journal

The aim of this study was to investigate the relationship between perceived emotional intelligence and the reported use of cognitive reappraisal and expressive suppression. We also investigated the possible effects of age on the aforementioned variables. The total sample consisted of 379 people (158 men, 220 women, 1 unreported). Across participants, 273 were young (20-39 years old) and 106 were middle-aged (40-65 years old). We found statistically significant positive correlations between the dimensions of perceived emotional intelligence and the reported use of cognitive reappraisal and negative primarily correlations between the dimensions of perceived emotional intelligence and the reported use of …

Bridging The Information Divide: Leveraging The Learning Health System To Understand Rural-Urban Health Disparities In The Covid-19 Era, Alfred J. Anzalone

Theses & Dissertations

The examination of healthcare disparities, which the COVID-19 pandemic exacerbated, revealed a pronounced divide between rural and urban settings. This divide particularly underscored the challenges of integrating rural healthcare into the Learning Health System (LHS) and utilizing real-world data (RWD) in response to a public health emergency. Our investigation expanded the growing body of literature on the rural mortality penalty, encompassing the period following the COVID-19 pandemic. By employing an LHS-enabled centralized platform of RWD, we assessed the impact of rurality on adverse COVID-19 outcomes (Aim 1), focusing on inpatient adverse events and the effectiveness of treatments and vaccinations across …

Investigation Of The Utility Of A Ptsd Coaching Mobile App To Address Mental Health Services Demand In A Primary Care Clinic: Analysis Of Caps-5 Measures, Sindhura Nemani, Danielle Rae Schweitzer, Anne C. Jones

Rowan-Virtua Research Day

The COVID-19 pandemic affected countless people globally, resulting in a greater need for mental health professionals and resources¹. The demand for mental health care is soaring yet the limitation of resources has strained the healthcare system, making it challenging to help patients in a timely manner². This poster represents a snapshot of a larger project that is striving to investigate an intervention to help bridge the gap between patient need and prompt referral through a warm handoff approach and use of the PTSD Coach mobile application as well as exploring patients’ satisfaction^3,4,5,6,8,9. In this …

Unveiling The Potential: The Role Of Ai-Enhanced Ecg In Cardiovascular Disease Detection, Alisha Vincent

Rowan-Virtua Research Day

Background: The Electrocardiogram (ECG) is a widely utilized, non-invasive, cost-effective cardiac test. Its integration with Artificial Intelligence (AI) has empowered it to become a potent screening tool and a predictor for various cardiovascular diseases, especially in asymptomatic individuals. Objective: This review investigates the utility of AI-powered ECG in early detection of cardiac conditions, focusing on conditions such as low ejection fraction (LEF), atrial fibrillation (AF), aortic valve stenosis (AVS), and cardiac amyloidosis (CA). Methods: A literature review spanning 2018 to 2024 was conducted, analyzing 10 articles - 3 on AF, 3 on AVS, 3 on LEF, and …

Effects Of Obesity On Patients Undergoing Cardiomems Procedure: Retrospective Cohort Study, Tony Elias, Mena Elmalh, Priya Brahmbhatt, Kyrillos Girgis, Taha Syed, Michael Valderrama, Rafail Beshai

Rowan-Virtua Research Day

★ Remote hemodynamic monitoring (CardioMEMs) is becoming increasingly important for management of chronic heart failure patients.

★ There is limited data looking specifically for obese patients who undergo CardioMEMs implantation.

★ We sought to examine the national inpatient sample database to describe in-hospital outcomes for this demographic

Retention, Adherence, And Acceptability Testing Of A Digital Health Intervention In A 3-Group Randomized Controlled Trial For Chronic Musculoskeletal Pain, Jennifer Kawi, Chao Hsing Yeh, Lauren Grant, Xinran Huang, Hulin Wu, Chunyan Hua, Paul Christo

Faculty, Staff and Student Publications

OBJECTIVES: Evaluate a digital health intervention using Auricular Point Acupressure (APA) for chronic musculoskeletal pain in terms of participant retention, adherence, acceptability, and satisfaction. Chronic musculoskeletal pain is a global concern and there are persistent challenges in pain management. Despite the value of digital health interventions, these interventions need to be fully evaluated for feasibility.

METHODS: We conducted a 3-group, longitudinal, randomized controlled trial (RCT). After Institutional Review Board approval, we posted recruitment flyers in a university, healthcare clinics, and community settings. Participants were randomized into an in-person + app group (n = 8), virtual + app group (n = …