Biomedical Informatics Commons^™

Cost-Effectiveness Evaluation Of Artificial Intelligence-Assisted Chest Radiograph Interpretation For Tuberculosis Screening In Rural Health Units In The Philippines, Harold Henrison C. Chiu, Bryan Christopher C. Lao, Gloanne C. Adolor

Graduate School of Business Publications

Background: Tuberculosis remains a major public health burden in the Philippines, where diagnostic delays are amplified by limited radiology capacity in rural health units (RHUs) and geographically isolated and disadvantaged areas (GIDAs). Computer-aided diagnosis (CAD) using artificial intelligence (AI)-assisted chest radiograph interpretation may shorten the screening pathway and reduce reliance on scarce specialist readers. However, its economic value for RHUbased tuberculosis screening has not been fully evaluated.
Methods: We developed a decision-tree cost-effectiveness model in Microsoft Excel 365 to compare AI-assisted chest radiograph interpretation with conventional manual radiologist or teleradiology interpretation among a theoretical annual cohort of 1,000 presumptive tuberculosis …

Personal Health Advice In The World Of Artificial Intelligence: An Assessment Of Responses From Chatgpt For Three Common Health Conditions In The Southern United States, Marion W. Evans Jr, Julie Harrison Swartz, Harrison Ndetan, Damian Francis, John Moore, Mary Kozub, Ernie Kaninjing, Jennifer Jones-Locklear, Debbie Greene, Josie Doss

Journal of Public Health in the Deep South

Background: Artificial intelligence (AI) applications within the health sciences including education and healthcare practice are now common. Patients are likely to apply AI to better understand their health status or to learn what they can do to improve their health.

Purpose: The purpose of this study was to evaluate outputs from ChatGPT for three common health conditions seen in the southern United States as to whether it would include medically biased care or lifestyle related advice, legitimate sources of information and to assess reading levels generated.

Methods: Health care professionals rated outputs in 4 areas and interrater …

Preclinical Perspectives On Disorders Of The Temporomandibular Joint: Tracing The Past, Navigating The Present, And Shaping The Future, John K Neubert, Kyle Allen, Tamara Alliston, Alejandro J Almarza, Kyriacos A Athanasiou, Basak Donertas-Ayaz, Bruna Balbino De Paula, Roxanne Bavarian, Nidhi Bhutani, Brian E Cairns, Robert M Caudle, Yang Chai, Jian-Fu Chen, Yong Chen, Glenn T Clark, Yenisel Cruz-Almeida, Alexandre F Dasilva, Paul L Durham, Airam Vivanco Estela, Millie Embree, Roger Fillingim, Fernando Guastaldi, Shruti Handa, Sunil D Kapila, David Keith, Keith L Kirkwood, Phillip Kramer, Katherine T Martucci, Niall P Murphy, Andrea G Nackley, Richard Ohrbach, Benedikt Sagl, Shad B Smith, Feng Tao, Beth Winkelstein, Hai Yao, Simon Young, Michael S Gold

Faculty, Staff and Student Publications

Temporomandibular disorders (TMDs) are complex conditions characterized by orofacial pain and dysfunction, affecting a significant portion of the population. TMDs may involve joint and/or muscle pain, dysfunction (e.g., noise, limited or altered jaw movements), or both, leading to a marked decrease in quality of life. Patients often experience functional limitations that hinder eating, speaking, and daily activities. Additionally, TMDs are frequently associated with psychological distress, including anxiety and depression, which further impacts overall well-being. Despite the profound individual and societal impact of TMDs, effective therapies remain elusive, partly due to deficiencies in translational research. A primary limitation in the TMD …

A Link Prediction Model For Knowledge Graph Completion Of Traditional Chinese Medicine Cases, Qifeng Lou, Dongmei Mu, Shutong Wang, Lili Huang

Journal of Scientific Information Research

[Purpose/significance] To propose a link prediction model for completing the knowledge graph of Chinese medicine cases, aiming to fill in the missing information in the knowledge graph,reveal the potential unknown associations,and promote the construction of a more comprehensive and detailed knowledge graph of Chinese medicine cases.

[Method/process] Medical cases in the field of TCM asthma were collected and integrated to construct a knowledge graph of TCM asthma diagnosis and treatment. By introducing Dropout regularization and Batch Normalization techniques into the RotatE model, an improved ERDBN model is proposed and applied to the task of refining the asthma diagnosis and treatment …

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …

Baseline Predictors Of Responders To Auricular Point Acupressure In Chronic Low Back Pain, Nada Lukkahatai, Wanqi Chen, Jennifer Kawi, Hulin Wu, Claudia M Campbell, Johannes Thrul, Xinran Huang, Paul Christo, Constance M Johnson

Faculty, Staff and Student Publications

Background: Chronic low back pain (cLBP) is a major cause of disability, with varied patient responses to treatments. Auricular point acupressure (APA) has shown potential as a non-pharmacological intervention, but individual responses may differ significantly.

Objective: This study aimed to determine the predictability of baseline characteristics, including functional disability, symptom severity, and treatment expectancy, on clinically significant responses to APA in reducing pain and improving function.

Methods: A secondary analysis was performed using data from a randomized controlled trial with 263 cLBP patients. Participants were randomly assigned to targeted APA (T-APA), non-targeted APA (NT-APA), or to a control group. APA …

Toward The Application Of Natural Language Processing In Electronic Health Record Analysis For Taxonomy Development, Latoya Mcdonald

All Dissertations

Electronic health records (EHRs) are pivotal resources for nurse practice because they increase the timeliness and reliability of patient information at the point of care and support access by multiple healthcare providers and the individual patients themselves. However, it is widely recognized that data extraction from EHRs is challenging due to the variability in the language used in clinical care notes and the lack of standardized terminology across healthcare systems. The broad objective of this dissertation is to develop taxonomy-based classification models for nursing care by applying feature engineering approaches to EHRs that include nursing care of ostomy patients following …

Evaluating The Meditation Practices And Barriers To Adopting Mindful Medicine Among Physicians, Tiffany Champagne-Langabeer, Chelsea G Ratcliff, Christine Bakos-Block, Francine Vega, Marylou Cardenas-Turanzas, Aila Malik, Radha Korupolu

Faculty, Staff and Student Publications

Background: Chronic pain affects over 25% of U.S. adults and is a leading cause of disability. Mindfulness meditation (MM) is a nonpharmacologic approach to manage pain and improve well-being. Despite mounting evidence supporting its efficacy, MM remains underutilized in medical practice. Understanding physicians' engagement with MM and the barriers they face can inform strategies for integration into clinical care. This study assessed physicians' attitudes toward MM, including barriers to practice and their likelihood of recommending it to patients.

Methods: A cross-sectional survey of U.S. physicians was conducted from April to July 2024. Participants provided information on demographics, health struggles, and …

Optimizing Decision-Making In A Cerebral Palsy Model Using Reinforcement Learning, Richard Ampah

Pitzer Senior Theses

This study presents an original interdisciplinary investigation into how reinforcement learning (RL) can model motor and cognitive defects and potentially improve motor and cognitive functions in individuals with cerebral palsy (CP), a non-progressive neurological disorder that impairs movement and adaptability. Integrating computational neuroscience and machine learning, the research applies policy gradient methods and Markov Decision Processes (MDPs) to simulate adaptive learning in agents with and without CP-related constraints.

The central aim is to compare the cumulative rewards of optimal policies, derived from value iteration, and human-like learning policies using the REINFORCE algorithm, both with and without the Bellman baseline. The …

Racial Health Disparities Among Pregnant Women Of Color In New York City: Biological And Systemic Impacts, Kaylin Peña

Pitzer Senior Theses

Racial Health Disparities Among Pregnant Women of Color in New York City: Biological and Systemic Impacts

Abstract

This thesis aims to explore how racial health disparities, underrepresentation in gynecology, and socioeconomic barriers contribute to adverse pregnancy outcomes among women of color in New York City. Through an interdisciplinary approach that combines resources from medical anthropology and human biology, this research will examine the biological implications of chronic stress, specifically HPA axis dysregulation, and its role in maternal health outcomes. With the idea of intersectionality, as conceptualized by Kimberlé Crenshaw, the study analyzes the various effects of systemic inequities and social …

Co-Morbid Indomethacin-Responsive Headaches In A Woman In Her Late 60s With Paroxysmal Hemicrania And Hypnic Headache: A Case Report, Ashlyn Brown, Randolph W Evans, Claudia Carrizo, Mark Burish

Faculty, Staff and Student Publications

Paroxysmal hemicrania (PH) and hypnic headache (HH) are rare indomethacin-responsive headache syndromes. This case report details the new onset of both disorders in a woman in her late 60s. One headache type presented as severe pain centered on the right eyebrow, lasting 30 minutes, occurring more than 8 times daily, and associated with ipsilateral lacrimation and rhinorrhea. The second type was a right frontal severe pain, with onset at 4 a.m., occurring only during sleep, lasting 30 minutes, and with no associated factors. The patient's response to indomethacin for both headache types was confirmed through an unblinded ABAB study design: …

Artificial Intelligence And Machine Learning In Cancer Pain: A Systematic Review, Vivian Salama, Brandon Godinich, Yimin Geng, Laia Humbert-Vidan, Laura Maule, Kareem A Wahid, Mohamed A Naser, Renjie He, Abdallah S R Mohamed, Clifton D Fuller, Amy C Moreno

Faculty, Staff and Student Publications

Background/objectives: Pain is a challenging multifaceted symptom reported by most cancer patients. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and pain management in cancer.

Methods: A comprehensive search of Ovid MEDLINE, EMBASE and Web of Science databases was conducted using terms: "Cancer," "Pain," "Pain Management," "Analgesics," "Artificial Intelligence," "Machine Learning," and "Neural Networks" published up to September 7, 2023. AI/ML models, their validation and performance were summarized. Quality assessment was conducted using PROBAST risk-of-bias andadherence to TRIPOD guidelines.

Results: Forty four studies from 2006 to 2023 were included. Nineteen studies used …

Sex Differences In Metabolic Adaptation In Infants With Cyanotic Congenital Heart Disease, Tina O Findley, Ana Carolina Palei, Kyung Serk Cho, Zhongming Zhao, Caleb Shi, Gouri Mahajan, Antonio Francesco Corno, Jorge Salazar, Louise Mccullough

Faculty, Staff and Student Publications

BACKGROUND: Female infants with congenital heart disease (CHD) face significantly higher postoperative mortality rates after adjusting for cardiac complexity. Sex differences in metabolic adaptation to cardiac stressors may be an early contributor to cardiac dysfunction. In adult diseases, hypoxic/ischemic cardiomyocytes undergo a cardioprotective metabolic shift from oxidative phosphorylation to glycolysis which appears to be regulated in a sexually dimorphic manner. We hypothesize sex differences in cardiac metabolism are present in cyanotic CHD and detectable as early as the infant period.

METHODS: RNA sequencing was performed on blood samples (cyanotic CHD cases, n = 11; controls, n = 11) and analyzed …

Methods For Pragmatic Randomized Clinical Trials Of Pain Therapies: Immpact Statement, David Hohenschurz-Schmidt, Dan Cherkin, Andrew S C Rice, Robert H Dworkin, Dennis C Turk, Michael P Mcdermott, Matthew J Bair, Lynn L Debar, Robert R Edwards, Scott R Evans, John T Farrar, Robert D Kerns, Michael C Rowbotham, Ajay D Wasan, Penney Cowan, Mckenzie Ferguson, Roy Freeman, Jennifer S Gewandter, Ian Gilron, Hanna Grol-Prokopczyk, Smriti Iyengar, Cornelia Kamp, Barbara I Karp, Bethea A Kleykamp, John D Loeser, Sean Mackey, Richard Malamut, Ewan Mcnicol, Kushang V Patel, Kenneth Schmader, Lee Simon, Deborah J Steiner, Christin Veasley, Jan Vollert

Faculty, Staff and Student Publications

Pragmatic, randomized, controlled trials hold the potential to directly inform clinical decision making and health policy regarding the treatment of people experiencing pain. Pragmatic trials are designed to replicate or are embedded within routine clinical care and are increasingly valued to bridge the gap between trial research and clinical practice, especially in multidimensional conditions, such as pain and in nonpharmacological intervention research. To maximize the potential of pragmatic trials in pain research, the careful consideration of each methodological decision is required. Trials aligned with routine practice pose several challenges, such as determining and enrolling appropriate study participants, deciding on the …

Psychosocial Outcomes Of Pain And Pain Management In Adults With Osteogenesis Imperfecta: A Qualitative Study, Whitney S Shepherd, Andrew D Wiese, Hannah E Cho, W Conor Rork, M Usman Baig, Kristin M Kostick, Dianne Nguyen, Erin M Carter, Members Of The Bbdc, Chaya N Murali, Marie-Eve Robinson, Sophie C Schneider, Brendan Lee, V Reid Sutton, Eric A Storch

Faculty, Staff and Students Publications

Objectives

Osteogenesis imperfecta (OI) is a genetic disorder characterized by bone fragility and fractures, short stature, dental abnormalities, hearing loss, scoliosis, and chronic pain. Despite a growing literature on the functional outcomes of OI, limited research has explicitly examined the psychosocial outcomes of pain within OI.

Methods

Adults with OI (N=15) were interviewed to understand pain-related experiences through a thematic analysis of semi-structured interview data. Research team members, genetic research experts, and OI clinicians developed an interview guide focused on topics related to pain and mental health challenges. Participants’ transcripts were coded by two independent coders; codes were then merged …

Sexannodb, A Knowledgebase Of Sex-Specific Regulations From Multi-Omics Data Of Human Cancers, Mengyuan Yang, Yuzhou Feng, Jiajia Liu, Hong Wang, Sijia Wu, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Background

Sexual differences across molecular levels profoundly impact cancer biology and outcomes. Patient gender significantly influences drug responses, with divergent reactions between men and women to the same drugs. Despite databases on sex differences in human tissues, understanding regulations of sex disparities in cancer is limited. These resources lack detailed mechanistic studies on sex-biased molecules.

Methods

In this study, we conducted a comprehensive examination of molecular distinctions and regulatory networks across 27 cancer types, delving into sex-biased effects. Our analyses encompassed sex-biased competitive endogenous RNA networks, regulatory networks involving sex-biased RNA binding protein-exon skipping events, sex-biased transcription factor-gene regulatory networks, …

Changing Landscape Of Liver Transplant In The United States—Time For A New Innovative Way To Define And Utilize The “Non-Standard Liver Allograft”—A Proposal, Rashmi Seth, Kenneth Andreoni

Department of Surgery Faculty Papers

Since the first liver transplant was performed over six decades ago, the landscape of liver transplantation in the US has seen dramatic evolution. Numerous advancements in perioperative and operative techniques have resulted in major improvements in graft and patient survival rates. Despite the increase in transplants performed over the years, the waitlist mortality rate continues to remain high. The obesity epidemic and the resultant metabolic sequelae continue to result in more marginal donors and challenging recipients. In this review, we aim to highlight the changing characteristics of liver transplant recipients and liver allograft donors. We focus on issues relevant in …

Disability In Cluster Headache Is More Than Attack Frequency – Results From And Validation Of The English Version Of The Cluster Headache Impact Questionnaire (Chiq), Katharina Kamm, Andreas Straube, Mark Burish, Ruth Ruscheweyh

Faculty, Staff and Student Publications

BACKGROUND: Cluster headache (CH) is associated with high disability. The Cluster Headache Impact Questionnaire (CHIQ) is a short, disease-specific disability questionnaire first developed and validated in German. Here, we validated the English version of this questionnaire.

METHODS: The CHIQ was assessed together with nonspecific headache-related disability questionnaires in CH patients from a tertiary headache center and an American self-help group.

RESULTS: 155 active episodic and chronic CH patients were included. The CHIQ showed good internal consistency (Cronbach's α = 0.91) and test-retest reliability (ICC = 0.93, n = 44). Factor analysis identified a single factor. Convergent validity was shown by …

Utilising Discriminant Function Analysis (Dfa) For Classifying Osteoarthritis (Oa) Patients And Volunteers Based On Biomarker Concentration, Laura Jane Coleman, John L Byrne, Stuart Edwards, Rosemary O'Hara

Faculty, Staff and Student Publications

Osteoarthritis (OA) is a degenerative joint disease characterised by the breakdown of cartilage, causing pain, stiffness, and limited movement. Early diagnosis is crucial for effective management but remains challenging due to non-specific early symptoms. This study explores the application of Discriminant Function Analysis (DFA) to classify OA patients and healthy volunteers based on biomarker concentrations of Interleukin-6 (IL-6), Tumour necrosis factor-alpha (TNF-α), and Myeloperoxidase (MPO). DFA was employed to analyse biomarker data from 86 participants (58 patients, 28 volunteers) to evaluate the discriminatory power of these biomarkers in predicting OA. Significant differences were observed in MPO and TNF-α levels between …

Institution-Wide Retreats Foster Organizational Learning And Action At A Comprehensive Cancer Center, Benjamin R Schrank, John A Fuller, Colleen M Gallagher, Van K Morris, Emma B Holliday, Kelly Merriman, Lynne Nguyen, Lou Weaver, Kelly Nelson, Elizabeth Chiao, Albert C Koong, Ernest Hawk, Shine Chang

Faculty, Staff and Student Publications

Providing safe and informed healthcare for sexual and gender minority (SGM) individuals with cancer is stymied by the lack of sexual orientation and gender identity (SOGI) data reliably available in health records and by insufficient training for staff. Approaches that support institutional learning, especially around sensitive topics, are essential for hospitals seeking to improve practices impacting patient safety and research. We engineered annual institutional retreats to identify and unify stakeholders, promote awareness of gaps and needs, identify initiatives, minimize redundant projects, and coordinate efforts that promote improvements in SGM cancer care, education, and research. The 2022 and 2023 retreats employed …

Prediction Of Mild Cognitive Impairment Status: Pilot Study Of Machine Learning Models Based On Longitudinal Data From Fitness Trackers, Qidi Xu, Yejin Kim, Karen Chung, Paul Schulz, Assaf Gottlieb

Faculty, Staff and Student Publications

BACKGROUND: Early signs of Alzheimer disease (AD) are difficult to detect, causing diagnoses to be significantly delayed to time points when brain damage has already occurred and current experimental treatments have little effect on slowing disease progression. Tracking cognitive decline at early stages is critical for patients to make lifestyle changes and consider new and experimental therapies. Frequently studied biomarkers are invasive and costly and are limited for predicting conversion from normal to mild cognitive impairment (MCI).

OBJECTIVE: This study aimed to use data collected from fitness trackers to predict MCI status.

METHODS: In this pilot study, fitness trackers were …

Supporting Ontario Public Health Units To Address Adverse Childhood Experiences In Pandemic Recovery Planning: A Priority-Setting Exercise, Kimberly B Harding, Erica Di Ruggiero, Erick Gonzalez, Amanda Hicks, Daniel W Harrington, Sarah Carsley

Faculty, Staff and Student Publications

BACKGROUND: Adverse childhood experiences (ACEs) are potentially traumatic exposures experienced during childhood, for example, neglect. There is growing evidence that the coronavirus disease 2019 (COVID-19) pandemic and related socioeconomic conditions contributed to an increased risk of ACEs. As public health programs/services are re-evaluated and restored following the state of emergency, it is important to plan using an ACEs-informed lens. The aim of this study was to identify and prioritize initiatives or activities that Public Health Ontario (PHO) could undertake to support Ontario public health units' work towards ACEs-informed pandemic recovery plans.

METHODS: The Child Health and Nutrition Research Initiative method …

Associations Between Longer Leukocyte Telomere Length And Increased Lung Cancer Risk Among Never Smokers In Urban China, Jason Y Y Wong, Xiao-Ou Shu, Wei Hu, Batel Blechter, Jianxin Shi, Kevin Wang, Richard Cawthon, Qiuyin Cai, Gong Yang, Mohammad L Rahman, Bu-Tian Ji, Yutang Gao, Wei Zheng, Nathaniel Rothman, Qing Lan

Faculty, Staff and Student Publications

BACKGROUND: The complex relationship between measured leukocyte telomere length (LTL), genetically predicted LTL (gTL), and carcinogenesis is exemplified by lung cancer. We previously reported associations between longer pre-diagnostic LTL, gTL, and increased lung cancer risk among European and East Asian populations. However, we had limited statistical power to examine the associations among never smokers by gender and histology.

METHODS: To investigate further, we conducted nested case-control analyses on an expanded sample of never smokers from the prospective Shanghai Women's Health Studies (798 cases and 792 controls) and Shanghai Men's Health Studies (161 cases and 162 controls). We broke the case-control …

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 …

Dyadic Yoga For Head And Neck Cancer Patients Undergoing Chemoradiation And Their Family Caregivers, Kathrin Milbury, David I Rosenthal, Yisheng Li, An Thuy Ngo-Huang, Smitha Mallaiah, Sania Yousuf, Clifton D Fuller, Carol Lewis, Eduardo Bruera, Lorenzo Cohen

Faculty, Staff and Student Publications

Objectives: Concurrent chemoradiation to treat head and neck cancer (HNC) may result in debilitating toxicities. Targeted exercise such as yoga therapy may buffer against treatment-related sequelae; thus, this pilot RCT examined the feasibility and preliminary efficacy of a yoga intervention. Because family caregivers report low caregiving efficacy and elevated levels of distress, we included them in this trial as active study participants.

Methods: HNC patients and their caregivers were randomized to a 15-session dyadic yoga program or a waitlist control (WLC) group. Prior to randomization, patients completed standard symptom (MDASI-HN) and patients and caregivers completed quality of life (SF-36) assessments. …

Risk Factors For Pediatric Ischemic Stroke And Intracranial Hemorrhage: A National Electronic Health Record Based Study, Stuart Fraser, Samantha M Levy, Amee Moreno, Gen Zhu, Sean Savitz, Alicia Zha, Hulin Wu

Faculty, Staff and Student Publications

BACKGROUND: Stroke is an important cause of morbidity in pediatrics. Large studies are needed to better understand the epidemiology, pathogenesis and risk factors associated with pediatric stroke. Large administrative datasets can provide information on risk factors in perinatal and childhood stroke at low cost. The aim of this hypothesis-generating study was to use a large administrative dataset to assess for prevalence and odds-ratios of rare exposures associated with pediatric stroke.

METHODS: The data for patients aged 0-18 with a diagnosis of either ischemic stroke or intracranial hemorrhage were extracted from the Cerner Health Facts EMR Database from 2000 to 2018. …

Prediction Of Disease-Free Survival For Precision Medicine Using Cooperative Learning On Multi-Omic Data, Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon M Lutz, Kristina Mullin, Leinal Sejour, Winston Hide, Ioannis Vlachos, Stacia Desantis, Rudolph E Tanzi, Christoph Lange

Faculty, Staff and Student Publications

In precision medicine, both predicting the disease susceptibility of an individual and forecasting its disease-free survival are areas of key research. Besides the classical epidemiological predictor variables, data from multiple (omic) platforms are increasingly available. To integrate this wealth of information, we propose new methodology to combine both cooperative learning, a recent approach to leverage the predictive power of several datasets, and polygenic hazard score models. Polygenic hazard score models provide a practitioner with a more differentiated view of the predicted disease-free survival than the one given by merely a point estimate, for instance computed with a polygenic risk score. …

Using Gerontechnology For Care Transition Conversations In Senior Living, Roschelle L. Fritz, Catherine Van Son, Chris Veloicaza, Stephanie Soriano, Gabrielle Barling

ICHRIE Research Reports

Every day across the United States, thousands of senior living organizations assist with housing transition decisions for older adults experiencing health-related changes. These decisions impact resources for older adults and senior housing corporations, yet these decisions are based primarily on subjective observational data regarding older adults’ changes in function or cognition. Smart homes offering continuous, unobtrusive health monitoring with artificial intelligence capabilities are emerging as solutions offering health maintenance support and objective functional and health information. Such systems are well-positioned to support hospitality staff conversing with residents about transitioning from independent to assisted living. Our interdisciplinary nursing research and hospitality …

How Financial Beliefs And Behaviors Influence The Financial Health Of Individuals Struggling With Opioid Use Disorder, James R Langabeer, Francine R Vega, Marylou Cardenas-Turanzas, A Sarah Cohen, Karima Lalani, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

The surge in opioid use disorder (OUD) over the past decade escalated opioid overdoses to a leading cause of death in the United States. With adverse effects on cognition, risk-taking, and decision-making, OUD may negatively influence financial well-being. This study examined the financial health of individuals diagnosed with OUD by reviewing financial beliefs and financial behaviors. We evaluated quality of life, perceptions of financial condition during active use and recovery, and total debt. We distributed a 20-item survey to 150 individuals in an outpatient treatment program for OUD in a large metropolitan area, yielding a 56% response rate. The results …

Adapting And Evaluating A Theory-Driven, Non-Pharmacological Intervention To Self-Manage Pain, Jennifer Kawi, Chao Hsing Yeh, Lauren Grant, Johannes Thrul, Hulin Wu, Paul J Christo, Lorraine S Evangelista

Faculty, Staff and Student Publications

BACKGROUND: The existing literature has limited detail on theory-driven interventions, particularly in pain studies. We adapted Bandura's self-efficacy framework toward a theory-driven, non-pharmacological intervention using auricular point acupressure (APA) and evaluated participants' perceptions of this intervention on their pain self-management. APA is a non-invasive modality based on auricular acupuncture principles.

METHODS: We mapped our study intervention components according to Bandura's key sources of self-efficacy (performance accomplishments, vicarious experience, verbal persuasion, and emotional arousal) to facilitate the self-management of pain. Through a qualitative study design, we conducted virtual interviews at one and three months after a 4-week APA intervention among 23 …