Medicine and Health Sciences Commons^™

Neuromotor Changes In Participants With A Concussion History Can Be Detected With A Custom Smartphone App, Christopher K. Rhea, Masahiro Yamada, Nikita A. Kuznetsov, Jason T. Jakiela, Chanel T. Lojacono, Scott E. Ross, F. J. Haran, Jason M. Bailie, W. Geoffrey Wright

Moss-Magee Rehabilitation Papers

Neuromotor dysfunction after a concussion is common, but balance tests used to assess neuromotor dysfunction are typically subjective. Current objective balance tests are either cost- or space-prohibitive, or utilize a static balance protocol, which may mask neuromotor dysfunction due to the simplicity of the task. To address this gap, our team developed an Android-based smartphone app (portable and cost-effective) that uses the sensors in the device (objective) to record movement profiles during a stepping-in-place task (dynamic movement). The purpose of this study was to examine the extent to which our custom smartphone app and protocol could discriminate neuromotor behavior between …

Telehealth Acceptance Among Appalachian Respondents During Covid 19: A Secondary Data Analysis, Victoria Hood-Wells, Florence M. Weierbach, Amy Wahlquist, Janet M. Keener, Manik Ahuja, Hadii M. Mamudu

ETSU Faculty Works

Purpose: The purpose of this study is to examine the relationship between telehealth use, telehealth satisfaction, and chronic medical conditions among residents living in Appalachian and non-Appalachian communities.

Sample: A COVID-19 public health survey was distributed via social media and healthcare clinics in the tri-state region of central Appalachia. Survey responses were limited to adults aged ≥18 years who consented to participate in the survey that self-identified as an individual with one or more chronic medical conditions (n=195).

Method: Simple descriptive statistics including frequencies, percentages, means, and standard deviations (SDs) were calculated for variables of interest both overall and by …

New-Onset Psychosis Following Covid-19 Infection In A Patient With No Psychiatric History: A Longitudinal Case Report., Matthew Runyan, Jay Fawver, Amanda Coupe, Michelle Drouin

Health Services and Informatics Research

BACKGROUND: Viral infection, including COVID-19, has been implicated as a potential cause of various neurobehavioral issues. An increasing number of case reports suggest that current or recent COVID-19 infection may cause new onset of psychotic symptoms in some individuals, potentially related to viral inflammation or infection of the nervous system.

CASE PRESENTATION: A 26-year-old woman with no psychiatric history presented with severe psychotic symptoms days after recovery from a mild COVID-19 infection. No other etiologies for psychosis were identified via diagnostic testing, review of medical history, or interviews with family. Her symptoms persisted for approximately two months, requiring three inpatient …

November / December 2022, Randy Curry, Cindy Brooks

RURAL ROCKS

This is the November & December 2022 issue of Rural Rocks from the SWOSU College of Pharmacy.

Mind The Gaps: Assessing And Enhancing The Trustworthiness Of Mental Health Apps, Gary Kok Yew Chan

Research Collection Yong Pung How School Of Law

Mental health apps including artificial intelligence (“AI”)- powered apps and chatbots have raised serious concerns relating to safety, efficacy and privacy. This article assesses their trustworthiness based on lego-regulatory, ethical and technological measures in addressing the abovementioned concerns. Focusing on applications to mental health apps, it examines Singapore laws, regulations and guidelines relating to software-based and AI medical devices, data protection, consumer protection, advertising and medical negligence. Additionally, upon taking into account other non-binding ethical guidelines, certification standards and technological measures targeted at app developers, a few recommendations are offered for enhancing trust in mental health apps.

Effectiveness Of Mobile Apps To Improve Urinary Incontinence: A Systematic Review Of Randomised Controlled Trials, Renee Widdison, Amineh Rashidi, Lisa Whitehead

Research outputs 2022 to 2026

Introduction: Pelvic floor exercises are effective in the treatment of urinary incontinence (UI) and are routinely prescribed, along with bladder training, by primary healthcare providers as first line conservative management. Mobile phone applications are increasingly popular within the healthcare setting and can provide opportunities for patients to complete treatments at home. To date, there has not been a systematic review examining outcomes from randomised controlled trials on the effectiveness of mobile applications to improve UI. Methods: A systematic review of randomized controlled trials evaluating the effectiveness of mobile applications to improve UI was carried out according to the PRISMA reporting …

Evaluating College Students’ Health Literacy And Its Effects On Their Perceptions Of Information Concerning Mask-Wearing In The Covid-19 Pandemic Ve Information Concerning Mask-Wearing In The Covid-19 Pandemic, Hannah S. Ketchum

Honors Program Projects

Background: Mask-wearing was a controversial and polarizing phenomenon during the COVID-19 pandemic. Beliefs concerning mask-wearing differed depending on sources of information concerning the pandemic, levels of health literacy, political leaning, demographics, or other factors. This project attempted to connect college students’ level of health literacy to their understanding of and adherence to mask-wearing in the COVID-19 pandemic. There is a gap in research connecting health literacy to understanding information concerning pandemics and an even bigger lack of studies conducted that relate college students’ health literacy to their perception of illnesses or pandemics. It is important to understand the impact of …

The Development Of A Mobile App-Focused Deduplication Strategy For The Apple Heart Study That Informs Recommendations For Future Digital Trials, Ariadna Garcia, Justin Lee, Vidhya Balasubramanian, Rebecca Gardner, Santosh E. Gummidipundi, Grace Hung, Todd Ferris, Lauren Cheung, Sumbul Desai, Christopher B. Granger, Mellanie True Hills, Peter Kowey, Divya Nag, John S. Rumsfeld, Andrea M. Russo, Jeffrey W. Stein, Nisha Talati, David Tsay, Kenneth W. Mahaffey, Marco V. Perez, Mintu P. Turakhia, Haley Hedlin, Manisha Desai

Department of Medicine Faculty Papers

An app-based clinical trial enrolment process can contribute to duplicated records, carrying data management implications. Our objective was to identify duplicated records in real time in the Apple Heart Study (AHS). We leveraged personal identifiable information (PII) to develop a dissimilarity score (DS) using the Damerau-Levenshtein distance. For computational efficiency, we focused on four types of records at the highest risk of duplication. We used the receiver operating curve (ROC) and resampling methods to derive and validate a decision rule to classify duplicated records. We identified 16,398 (4%) duplicated participants, resulting in 419,297 unique participants out of a total of …

Predictive Self-Organizing Neural Networks For In-Home Detection Of Mild Cognitive Impairment, Seng Khoon Teh, Iris Rawtaer, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

In-home sensing of daily living patterns from older adults coupled with machine learning is a promisingapproach to detect Mild Cognitive Impairment (MCI), a potentially reversible condition with early detectionand appropriate intervention. However, the number of subjects involved in such real-world studies istypically limited, posing the so-called small data problem to most predictive models which rely on a sizablenumber of labeled data. In this work, a predictive self-organizing neural network known as fuzzy AdaptiveResonance Associate Map (fuzzy ARAM) is proposed to detect MCI using in-home sensor data collected from aunique Singapore cross-sectional study. Specifically, mean and standard deviation of nine in-home …

Can Big Data Cure Risk Selection In Healthcare Capitation Program? A Game Theoretical Analysis, Zhaowei She, Turgay Ayer, Daniel Montanera

Research Collection Lee Kong Chian School Of Business

Problem definition: This paper analyzes a market design problem in Medicare Advantage (MA), the largest risk-adjusted capitation payment program in the U.S. healthcare market. Evidence exists that the current MA capitation payment program unintentionally incentivizes health plans to cherry pick profitable patient types, which is referred to as “risk selection”. However, the root causes of the risk selection are not comprehensively understood, which we study in this paper. Academic / Practical Relevance: The existing literature primarily attributes the observed risk selection in MA market to data limitations and low explanatory power (e.g. low R2) of the current risk adjustment design. …

Improving Retention Rates Of New Graduate Nurses, Rebekah B. Littlefield, Courtney Kelsey, Sophia Howrey

Non-Thesis Student Work

The purpose of this project is to explore if pairing (P) new grad nurses (I) with a similar personality nurse preceptor (C) as compared to a randomly assigned nurse preceptor (O) improves retention rates (T) over a 24-month period? Nursing has been recognized as a highly stressful profession that can lead to early career burnout. New nurses have reported an intention to leave the profession due to high-stress levels from unrealistic career expectations. Studies have shown that having a supported, planned, and consistent residency program for new nurses will increase retention of the nurses at the beginning of their careers. …

The U.S. Travel Health Pharmacists’ Role In A Post-Covid-19 Pandemic Era, Keri Hurley-Kim, Karina Babish, Eva Chen, Alexis Diaz, Nathan Hahn, Derek Evans, Sheila M. Seed, Karl Hess

Pharmacy Faculty Articles and Research

Background: Many countries have enforced strict regulations on travel since the emergence of the SARS-CoV-2 (COVID-19) pandemic in December 2019. However, with the development of several vaccines and tests to help identify it, international travel has mostly resumed in the United States (US). Community pharmacists have long been highly accessible to the public and are capable of providing travel health services and are in an optimal position to provide COVID-19 patient care services to those who are now starting to travel again. Objectives: (1) To discuss how the COVID-19 pandemic has changed the practice of travel health and …

Designing Displays Of Cardiac Implantable Electronic Device Sensor Data With Patients Who Have Heart Failure With Reduced Ejection Fraction, Carly Daley Phd, Shauna Wagner Bsn, Rn, Ryan Ahmed Ms, Romisa Rohani Ghahari Phd, Tammy Toscos Phd, Michael Mirro Md, Facc, Fhrs, Faha

Health Services and Informatics Research

Background: Cardiac implantable electronic devices (CIEDs) are important life-saving and therapeutic devices for patients with heart failure with reduced ejection fraction (HFrEF). These devices capture a multitude of data, including factors that have potential to indicate worsening heart failure. Patients may be interested to monitor sensor data from their device as part of heart failure self-care, and are key stakeholders in designing visualizations and displays for interpretation of the data.

Objectives: The objective of this study was to explore the presentation of HF-related CIED sensor data in a small participatory design session with people who have HFrEF and CIEDs.

Methods: …

September / October 2022, Randy Curry, Cindy Brooks

RURAL ROCKS

PLS presents the 7^th Annual Substance Use Disorder Seminar with Dr. Jake Nichols.

Translation And Cross-Cultural Validation Of A Precision Health Tool, The Suboptimal Health Status Questionnaire-25, In Korean, Zheng Guo, Ruoyu Meng, Yulu Zheng, Xingang Li, Ziqi Zhou, Leilei Yu, Qian Tang, Ying Zhao, Monique Garcia, Yuxiang Yan, Song Manshu, Lois A. Balmer, Jun Wen, Haifeng Hou, Xuerui Tan, Wei Wang, Suboptimal Health Study Consortium (Shsc), Global Health Epidemiology Research Group (Gherg)

Research outputs 2022 to 2026

Background

Suboptimal health status (SHS) is a reversible stage between health and illness that is characterized by health complaints, low energy, general weakness, and chronic fatigue. The Suboptimal Health Status Questionnaire-25 (SHSQ-25) has been validated in three major populations (African, Asian, and Caucasian) and is internationally recognized as a reliable and robust tool for health estimation in general populations. This study focused on the development of K-SHSQ-25, a Korean version of the SHSQ-25, from its English version.

Methods

The SHSQ-25 was translated from English to Korean according to international guidelines set forth by the World Health Organization (WHO) for health …

Two Singapore Public Healthcare Ai Applications For National Screening Programs And Other Examples, Andy Wee An Ta, Han Leong Goh, Christine Ang, Lian Yeow Koh, Ken Poon, Steven M. Miller

Research Collection School Of Computing and Information Systems

This article explains how two AI systems have been incorporated into the everyday operations of two Singapore public healthcare nation-wide screening programs. The first example is embedded within the setting of a national level population health screening program for diabetes related eye diseases, targeting the rapidly increasing number of adults in the country with diabetes. In the second example, the AI assisted screening is done shortly after a person is admitted to one of the public hospitals to identify which inpatients—especially which elderly patients with complex conditions—have a high risk of being readmitted as an inpatient multiple times in the …

Dyadic Digital Health Interventions: Their Rationale And Implementation, Kelly M. Shaffer, Lindsay S. Mayberry, Emily Georgia Salivar, Brian D. Doss, Amanda M. Lewis, Kimberly Canter

Department of Pediatrics Faculty Papers

While most psychosocial and behavioral digital health interventions have been designed to be consumed by an individual, intervening at the level of a dyad – two interdependent individuals – can more comprehensively address the needs of both individuals and their relationship. The clinical utility of the dyadic digital health intervention approach, as well as the practical implementation of this design, will be demonstrated via three examples: eSCCIP, FAMS, and OurRelationship.

Technology-Enabled Behavioral Health Integration Decreases Emergency Department Utilization, Adam Pardes, Rachelle Rene, Phansy Chun Chun, Mollie Cherson

Jefferson Hospital Staff Papers and Presentations

Background:

Behavioral health integration allows for patient-centered care, leads to higher levels of provider-patient engagement, and is key to improving patient outcomes. However, behavioral health integration is administratively burdensome and therefore is often not adopted. Technology presents opportunities to increase care team efficiency and improve patient outcomes. The goal of this study was to retrospectively compare clinical outcomes and emergency department utilization in patients using a technology platform compared to patients receiving treatment as usual.

Methods:

The technology platform, NeuroFlow, was deployed to deliver technology-enabled behavioral health integration in 30 clinics, and 598 electronic health records were analyzed.

Results:

In …

Toward Informatics-Enabled Preparedness For Natural Hazards To Minimize Health Impacts Of Climate Change, Jimmy Phuong, Naomi O. Riches, Luca Calzoni, Gora Datta, Deborah Duran, Asiyah Yu Lin, Ramesh P. Singh, Anthony E. Solomonides, Noreen Y. Whysel, Ramakanth Kavuluru

Publications and Research

Natural hazards (NHs) associated with climate change have been increasing in frequency and intensity. These acute events impact humans both directly and through their effects on social and environmental determinants of health. Rather than relying on a fully reactive incident response disposition, it is crucial to ramp up preparedness initiatives for worsening case scenarios. In this perspective, we review the landscape of NH effects for human health and explore the potential of health informatics to address associated challenges, specifically from a preparedness angle. We outline important components in a health informatics agenda for hazard preparedness involving hazard-disease associations, social determinants …

Analyzing The Impact Of Covid-19 Control Policies On Campus Occupancy And Mobility Via Wifi Sensing, Camellia Zakaria, Amee Trivedi, Emmanuel Cecchet, Michael Chee, Prashant Shenoy, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Mobile sensing has played a key role in providing digital solutions to aid with COVID-19 containment policies, primarily to automate contact tracing and social distancing measures. As more and more countries reopen from lockdowns, there remains a pressing need to minimize crowd movements and interactions, particularly in enclosed spaces. Many COVID-19 technology solutions leverage positioning systems, generally using Bluetooth and GPS, and can theoretically be adapted to monitor safety compliance within dedicated environments. However, they may not be the ideal modalities for indoor positioning. This article conjectures that analyzing user occupancy and mobility via deployed WiFi infrastructure can help institutions …

Leveraging Clinical Digitized Data To Understand Temporal Characteristics And Outcomes Of Acute Myocardial Infarctions At A Tertiary Care Medical Centre In Pakistan From 1988-2018 - Methods And Results, Zainab Samad, Ali Aahil Noorali, Awais Farhad, Safia Awan, Nada Qaiser Qureshi, Mushyada Ali, Laiba Masood, Ghurfan Adnan, Zulfiqar Ahmed Bhutta, Javed Tai

Section of Cardiology

Background and objective: Few data exist on trends in acute myocardial infarction (AMI) patterns spanning recent epidemiological shifts in low middle-income countries (LMICs). To understand temporal disease patterns of AMI characteristics and outcomes between 1988-2018, we used digitized legacy clinical data at a large tertiary care centre in Pakistan.
Methods: We reviewed digital health information capture systems maintained across the Aga Khan University Hospital and obtained structured elements to create a master dataset. We included index admissions of patients >18 years that were discharged between January 1, 1988, and December 31, 2018, with a primary discharge diagnosis of AMI (using …

Self-Regulation As A Protective Factor For Diabetes Distress And Adherence In Youth With Type 1 Diabetes During The Covid-19 Pandemic., Alison L Miller, Dana K. Albright Phd, Katherine W Bauer, Hurley O Riley, Marisa E Hilliard, Julie Sturza, Niko Kaciroti, Sharon L Lo, Katy M Clark, Joyce M Lee, Emily M Fredericks

Health Services and Informatics Research

OBJECTIVE: The COVID-19 pandemic increased economic, social, and health stressors for families, yet its impacts on families of youth with chronic conditions, such as type 1 diabetes (T1D), are not well understood. Self-regulation (SR)-or the capacities to control emotions, cognition, and behavior in response to challenge-is known to support T1D management and coping in the face of stress. Strong SR may have protected youth with T1D from the impacts of pandemic-related stressors. This study compared youth and parent emotional functioning and T1D management before and after the pandemic's onset in relation to family pandemic-related stress and youth SR.

METHODS: Parents …

A Smartwatch Step-Counting App For Older Adults: Development And Evaluation Study, George Boateng, Curtis L. Petersen, David Kotz, Karen L. Fortuna, Rebecca Masutani, John A. Batsis

Dartmouth Scholarship

Background: Older adults who engage in physical activity can reduce their risk of mobility impairment and disability. Short amounts of walking can improve quality of life, physical function, and cardiovascular health. Various programs have been implemented to encourage older adults to engage in physical activity, but sustaining their motivation continues to be a challenge. Ubiquitous devices, such as mobile phones and smartwatches, coupled with machine-learning algorithms, can potentially encourage older adults to be more physically active. Current algorithms that are deployed in consumer devices (eg, Fitbit) are proprietary, often are not tailored to the movements of older adults, and have …

Dnp Final Report: Implementation Of An Electronic Clinical Placement System For Improving Faculty Workflow And Accreditation Compliance, Janice R. Hawes

DNP Final Reports

Healthcare today is continually evolving and requires healthcare providers to coordinate and work together to provide quality care. Among healthcare changes is the increasing expansion of technological improvements assisting in mainstreaming processes. In the academic setting, these changes are currently needed to help improve faculty workflow and assist in regulatory compliance. The purpose of this paper is to discover if implementing technology in a clinical nursing setting through an evidence-based practice approach will improve nursing faculty workload and aid in accreditation compliance. The design and methodology for this project were developed using the Iowa model of evidence-based practice, the Donabedian …

Moment-To-Moment Observation Of Parental Media Use And Parent-Child Interaction: Quality And Media Multitasking, Lisa Linder, Brandon T. Mcdaniel Phd, Heather Jaffe

Health Services and Informatics Research

Mobile media proliferation throughout society has infused and complicated environments that formerly were interaction rich (e.g., waiting rooms, restaurants, and playgrounds) with the presence of smart devices. Ethnographic studies have indicated that parental use negatively impacts parent-child interaction quality. The current study reviews and expands on previous research through observing systematically parent-child interaction quality throughout the course of an entire meal (30-140 minutes). Utilizing five-minute intervals, across 93 parent-child dyads, we assessed both within- and between-person moment-to-moment changes in parenting quality (i.e., parental positivity, negativity, and engagement) in the context of parental media use. Between-person, only positivity appeared to decrease …

Potential And Pitfalls Of Mobile Mental Health Apps In Traditional Treatment: An Umbrella Review, Jerica Koh, Germaine Y. Q. Tng, Andree Hartanto

Research Collection School of Social Sciences

While the rapid growth of mobile mental health applications has offered an avenue of support unbridled by physical distance, time, and cost, the digitalization of traditional interventions has also triggered doubts surrounding their effectiveness and safety. Given the need for a more comprehensive and up-to-date understanding of mobile mental health apps in traditional treatment, this umbrella review provides a holistic summary of their key potential and pitfalls. A total of 36 reviews published between 2014 and 2022—including systematic reviews, meta-analyses, scoping reviews, and literature reviews—were identified from the Cochrane library, Medline (via PubMed Central), and Scopus databases. The majority of …

Mobile Health With Head-Worn Devices: Challenges And Opportunities, Andrea Ferlini, Dong Ma, Lorena Qendro, Cecilia Mascolo

Research Collection School Of Computing and Information Systems

Monitoring human behavior and health status using mobile devices, a.k.a. Mobile Health, has gained increasing attention from both academia and industry in recent years. It allows imperceptible health tracking from the users and remote health management from the healthcare service providers. Headworn devices, such as earbuds, glasses, and BCIs (Brain Computer Interfaces), exhibit great potential for mobile health due to their advantageous wearing position, the human head, which is motion-resilient and full of human bio-signals. Although initial attempts have been conducted for different healthcare applications with head-worn devices, this fast-growing area is still under-explored and retains great promises. With this …

Application In Medicine: Has Artificial Intelligence Stood The Test Of Time, Mir Ibrahim Sajid, Shaheer Ahmed, Usama Waqar, Javeria Tariq, Mohsin Chundrigar, Samira Shabbir Balouch, Sajid Abaidullah

Medical College Documents

Artificial intelligence (AI) has proven time and time again to be a game-changer innovation in every walk of life, including medicine. Introduced by Dr. Gunn in 1976 to accurately diagnose acute abdominal pain and list potential differentials, AI has since come a long way. In particular, AI has been aiding in radiological diagnoses with good sensitivity and specificity by using machine learning algorithms. With the coronavirus disease 2019 pandemic, AI has proven to be more than just a tool to facilitate healthcare workers in decision making and limiting physician-patient contact during the pandemic. It has guided governments and key policymakers …

The Effectiveness Of Facebook As A Social Network Intervention To Increase Physical Activity In Chinese Young Adults, Patrick W.C. Lau, J. J. Wang, Lynda B. Ransdell, Lei Shi

Kinesiology Faculty Publications and Presentations

Introduction: Facebook, one of the worlds' most popular online social networks, is easy to access and cost-effective. Its use to enhance individual's physical activity (PA) participation should be examined. This research reviews the effectiveness and successful features of Facebook for influencing PA behaviors in young adults (Study 1), and empirically examines the efficacy of the features purported in increase PA via a Facebook intervention (Study 2).

Methods: In Study 1, PubMed, Medline, SPORT Discus, ERIC, and Embase were searched for articles that identified successful features and effectiveness of Facebook PA interventions published between January 2005 and February 2022. In Study …

Precision Dentistry In Practice, Diana V. Macri

Publications and Research

A paradigm shift is necessary to improve healthcare delivery and outcomes. Precision medicine and precision dentistry may be able to shift the burden of disease and improve the nation’s oral and overall health.