Medicine and Health Sciences Commons^™

Understanding The Impact Of Admissions Variables On Admissions Diversity: A Single Doctor Of Physical Therapy Program Review, Michael Bourassa, Allison Bourassa, Saurabh Mehta

Health Professions Education

Purpose: The U.S. physical therapy workforce lacks diversity, largely influenced by healthcare program admission procedures that affect student diversity and, in turn, the profession itself. This study aimed to characterize applicants' demographic and educational profiles applying to a single accredited Doctor of Physical Therapy program and examine factors associated with admission outcomes when considering race.

Methods: This retrospective descriptive study analyzed data from 1,409 applicants to the U.S. Doctor of Physical Therapy program from 2017 to 2022. Data from pre-admission applications encompassed demographic details, overall grade point average (GPA), prerequisite GPA, graduate record examination (GRE) scores, average professional reference scores, …

Effect Of Problematic Smartphone Usage On Reaction Time And Critical Flicker Fusion Frequency Among Medical Undergraduate Students In Chennai, South India - A Cross-Sectional Study, Saisubramanian Abeetha, Angappan Suba, Mourali Chitra, Chirag D Jain, Saisubramanian Sadhana

Health Professions Education

Purpose: Smartphones are vital for communication and learning, especially among medical students, but excessive use can cause physical, psychological, and cognitive issues. Problematic Smartphone Usage (PSU), marked by compulsive use, is linked to attention deficits and reduced cognitive function. Reaction Time (RT) reflects sensory-motor speed, while Critical Flicker Fusion Frequency (CFFF) indicates sensory processing and neural fatigue. Prolonged smartphone use may impair these parameters. Despite growing concern, data on PSU’s impact on RT and CFFF in medical students is limited. This study explores their association among undergraduates in Chennai.

Methods: This cross-sectional study was conducted among 402 medical undergraduate students …

Multi-Ancestry Genome-Wide Meta-Analysis Of 56,241 Individuals Identifies Known And Novel Cross-Population And Ancestry-Specific Associations As Novel Risk Loci For Alzheimer's Disease, Farid Rajabli, Bruno A. Bonitez, Nigel J. Cairns, John C. Morriswashington University School Of Medicine In St. Louis, Carlos Cruchaga, Oscar Harari, Laura Ibanez, Et Al.

2020-Current year OA Pubs

No abstract provided.

Ethical Implications Of Neurotechnology In Industry-Academia Partnerships: Insights From Patient And Research Participant Interviews, Meredith V. Parsons, Maya Skolnik, Judith Mwobobia, Erin D Solomon, James M. Dubois, Tristan Mcintosh

2020-Current year OA Pubs

BACKGROUND: Neurotechnologies often advance through industry-academia (IA) partnerships and offer insight into brain and nervous system functions, bringing improved diagnosis and treatment options to patients. Both neurotechnology and IA partnerships pose ethical challenges that can impact research participation experiences, patient treatment, and health outcomes.

METHODS: Investigators conducted interviews with 16 patients who used neurotechnology devices in therapeutic or research settings. Interviews explored participants' experiences using neurotechnology, perspectives on IA partnerships, preferences for neural data use and long-term care, and advice for future neurotechnology device users. Data were analyzed using inductive thematic analysis.

RESULTS: Participants were generally supportive of IA partnerships. …

Assessing The Clinical Meaningfulness Of Slowing Cdr-Sb Progression With Disease-Modifying Therapies For Alzheimer's Disease, Sarah M Hartz, Suzanne E Schindler, Marissa L Streitz, Krista L Moulder, Jessica Mozersky, Guoqiao Wang, Chengjie Xiong, John C Morris

2020-Current year OA Pubs

INTRODUCTION: For many patients and caregivers, a major goal of disease-modifying treatments (DMTs) for Alzheimer's disease (AD) dementia is to extend independence in instrumental and basic activities of daily living (IADLs and BADLs). The goal of this study was to estimate the effect of treatments on the time remaining independent in IADLs and BADLs.

METHODS: Participants at the Knight Alzheimer Disease Research Center (Knight ADRC) who met eligibility criteria for recent DMT trials were studied: age ≥60 years at baseline, clinical diagnosis of very mild or mild AD dementia (global Clinical Dementia Rating [CDR] score 0.5 or 1), biomarker confirmation …

Articles That May Change Your Practice: Reviewing Intraosseous Or Intravenous? Reviewing Intraosseous Versus Intravenous First Approach To Access In Out-Of-Hospital Cardiac Arrest Data From Randomized Controlled Trials, Blaise Loughman, Fatou Ndaw, Aaron J Lacy, James L Li

2020-Current year OA Pubs

No abstract provided.

Icu-Length Of Stay Prediction On Electronic Health Records Using Graph Neural Networks And Homogeneous Similarity Graphs, Ahmad F. Al Musawi, Pratip Rana, Sibtanu Raha, Joshua Braunstein, William C. Sleeman Iv, Rishabh Kapoor, Preetam Ghosh

Computer Science Faculty Publications

Predicting the length of stay (LoS) is important for hospital administration, as it helps allocate proper resources, such as bed management and hospital staffing. Patients' Electronic Health Records (EHRs) contain highly relevant data for LoS prediction; however, their integration and effective use in predictive modeling for accurately estimating LoS remain challenging. To address this, we propose a homogeneous Graph Neural Network (GNN)-based framework for predicting LoS. This method employs a comprehensive data fusion strategy based on the hospital Visit-based Similarity Graph (VSG), which integrates diverse multi-modal clinical features into a coherent, homogeneous graph representation. Next, this VSG is fed into …

Gramseq-Dta: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information, Kasul Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug–target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful representation of drugs and targets is crucial for accurate prediction. Using 1D string-based representations for drugs and targets is a common approach that has demonstrated good results in drug–target affinity prediction. However, these approach lacks information on the relative position of the atoms and bonds. To address this limitation, graph-based representations have been used to some extent. However, solely considering the structural aspect of drugs and targets may be insufficient for accurate DTA prediction. Integrating the functional aspect of these drugs at the genetic level can enhance …

A Data-Driven Sliding-Window Pairwise Comparative Approach For The Estimation Of Transmission Fitness Of Sars-Cov-2 Variants And The Construction Of The Evolution Fitness Landscape, Md Jubair Pantho, Richard Annan, Landen Alexander Bauder, Sophia Huang, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Estimating the transmission fitness of SARS-CoV-2 variants and understanding their evolutionary fitness trends are important for epidemiological forecasting. Existing methods are often constrained by their parametric natures and do not satisfactorily align with the observations during COVID-19. Here, we introduce a sliding-window data-driven pairwise comparison method, the differential population growth rate (DPGR) that uses viral strains as internal controls to mitigate sampling biases. DPGR is applicable in time windows in which the logarithmic ratio of two variant subpopulations is approximately linear. We apply DPGR to genomic surveillance data and focus on variants of concern (VOCs) in multiple countries and regions. …

Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun

Computer Science Faculty Publications

Triple-negative breast cancer (TNBC) requires detailed cellular mapping given its aggressive nature, immense tumor heterogeneity and genetic diversity. We integrated 156,794 cells from six scRNA-seq datasets—including tumors, metastases, and cell lines—to build a TNBC scRNA cell atlas, focusing on batch effect mitigation while maintaining biological and molecular details. Preprocessing f ilters noise, normalizes data, and leverages PCA for integration readiness. We utilized scANVI, a semi-supervised tool, to align datasets, preserving TNBC’s complex tumor heterogeneity via marker annotations [1]. UMAPs demonstrate biological clustering in integrated data, contrasted with datasetdriven unintegrated patterns. Assessments verifying effective batch correction. This method aligns with NASA’s …

Multi-Modal Mri Based Segmentation Of Brain Metastases Using Adaptive Self-Attention, Evan Savaria

Computer Science Faculty Publications

Brain metastases (BMs) are the most common adult central nervous system malignancy, affecting 20–40% of cancer patients. Accurate segmentation of metastatic lesions in multi-modal MRI is essential for treatment planning and prognosis however, manual delineation is time consuming and prone to variability. Traditional deep learning models such as U-Net, have improved segmentation accuracy but capture limited long-range dependencies and struggle with variations in metastasis size, shape, and distribution. This study introduces the Adaptive Integrated Multi-modal Segmentation (AIMS) model, an adaptive self-attention framework within a hybrid U-Net and Transformer architecture to enhance BM segmentation by leveraging multi-modal MRI integration. The proposed …

A Survey On Deep Learning For Drug-Target Binding Prediction: Models, Benchmarks, Evaluation, And Case Studies, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Conventional drug discovery is expensive, time-consuming, and prone to failure. Artificial intelligence has become a potent substitute over the last decade, providing strong answers to challenging biological issues in this field. Among these difficulties, drug-target binding (DTB) is a key component of drug discovery techniques. In this context, drug-target affinity and drug–target interaction are complementary and essential frameworks that work together to improve our comprehension of DTB dynamics. In this work, we thoroughly analyze the most recent deep learning models, popular benchmark datasets, and assessment metrics for DTB prediction. We look at the paradigm shift in the development of drug …

Coldstartcpi: Induced-Fit Theory-Guided Dti Predictive Model With Improved Generalization Performance, Qichang Zhao, Haochen Zhao, Linyuan Gao, Kai Zheng, Yajie Li, Qiao Ling, Jing Tang, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Predicting compound-protein interactions (CPIs) plays a crucial role in drug discovery. Traditional methods, based on the key-lock theory and rigid docking, often fail with novel compounds and proteins due to their inability to account for molecular flexibility and the high sparsity of CPI data. Here, we introduce ColdstartCPI, a framework inspired by induced-fit theory, which leverages unsupervised pre-training features and a Transformer module to learn both compound and protein characteristics. ColdstartCPI treats proteins and compounds as flexible molecules during inference, aligning with biological insights. It outperforms state-of-the-art sequence-based models, particularly for unseen compounds and proteins, and shows strong generalization capability …

Design Of A Post-Market Registry For The Extravascular Implantable Cardioverter-Defibrillator: The Enlighten Study., Lucas V A Boersma, Anish Amin, Nicolas Clémenty, David Duncker, Gregory Engel, Laurence Epstein, Vikas Kuriachan, Camille Frazier-Mills, Marianne Gwechenberger, Nobuhiro Nishii, Jeff Lande, Christopher Wiggenhorn, Ian Crozier

Heart and Vascular Articles

BACKGROUND: The extravascular implantable cardioverter-defibrillator (EV-ICD) with substernal lead placement has been shown to terminate ventricular arrhythmias safely and effectively while being outside the vasculature. The performance of the EV-ICD system with a novel inappropriate shock-reducing algorithm in a real-world setting has yet to be investigated.

OBJECTIVE: The objective of the Enlighten Study: the EV-ICD Post-Approval Registry is to provide a comprehensive measure of the safety and performance of the EV-ICD system in real-world clinical practice over the lifetime of the device.

METHODS: The Enlighten Study is a global, prospective, observational, multicenter, post-approval study utilizing the manufacturer's Product Surveillance Registry. …

Parenteral Nutritional Support In Surgical Patients: Expert Consensus Statements Regarding Intravenous Lipid Emulsions Containing Omega-3 Fatty Acids., Robert G Martindale, David C Evans, Dan Waitzberg, Malissa Warren, Manpreet S Mundi, Stanislaw Klek, Paul E Wischmeyer, Martin D Rosenthal

Surgery Articles

OBJECTIVES: The International Lipids in Parenteral Nutrition (PN) Summit was convened to offer practical guidance and expert consensus opinion regarding the use of intravenous lipid emulsions (ILEs) in various clinical settings. Herein, we briefly review aspects from this summit that are of particular importance for surgical/hospitalized patients.

METHODS: Summit participants identified and discussed new evidence, data, and analyses, that potentially influence the benefits and risks of ILEs in PN or their use in clinical practice. The summit meeting consisted of expert presentations that assessed recent clinical data and best practice, followed by periodic panel discussions to formulate consensus statements. Consensus …

Prophylactic Use Of Lipid Emulsion Therapy After Inadvertent Administration Of 0.5% Ropivacaine For A Bier Block: A Case Report., Alexander Luong, Sirimas Lau, Elizabeth Johnson-Gray, Rayyan Bhutta, Austin Shaffer, Mitchell Hughes, Andrew Gable, Matthias Franzen

Surgery Articles

The Bier block for intravenous regional anesthesia is generally well tolerated, and few complications have been reported. It provides a bloodless surgical field and adequate analgesia when performed correctly. A diluted short-acting local anesthetic such as 0.5% lidocaine is typically used. Our case is a 41-year-old female who presented for endoscopic carpal tunnel release of her right wrist. An accidental injection of 30 mL of 0.5% ropivacaine was given instead of the normal 30 mL of 0.5% lidocaine, with a total tourniquet time of 46 min. Although the maximum safe dose of local anesthetic was not exceeded, lipid emulsion was …

A Primer On Anatomy, Biophysics, Pathology, Imaging And Treatment Of The Intervertebral Disc And The Anterior Spinal Column: The Discogenic, Intervertebral, Spinal Column (Disc) Aspn Workgroup., Jay S Grider, Timothy R Deer, Douglas P Beall, Melissa Z Murphy, Jacob W Fleming, Steven M Falowski, Christopher J Mallard, Hamzah A Ramawad, Rosa Amelia Garcia, Usman Latif, Chau M Vu, Anne Christopher, Michael E Harned, Raj G Patel, Anuj J Shah, Iden M Cowan, Kristin Jarzombek, Jordan L Tate, Nasir Khatri, Mateusz J Graca, Marcin K Karcz, Timothy T Davis, Kaku Barkoh, Olivier Clerk-Lamalice, Brian Durkin, Mark N Malinowski, Dagmar K Gross, Thomas Hedman, Matthew Green, Michael J Dorsi, Kasra Amirdelfan, Dawood Sayed

Surgery Articles

OBJECTIVE: As therapeutic options are rapidly expanding to treat pain of discogenic and vertebrogenic origin, it is important for the clinician to have an evidence-based understanding of the latest information regarding the normal and pathological anatomy of the intervertebral disc as well as imaging characteristics and treatment strategies. The American Society of Pain and Neuroscience (ASPN) commissioned the DISC project to inform and update the interventional spine community about anterior column pain syndromes.

METHODS: Using established literature review methods a clinical oversight group was convened to create an outline covering topics that will be key to meeting the objectives delineated …

Levothyroxine-Associated Thyrotoxicosis And Hyperbilirubinemia On Preoperative Screening Evaluation., Carly J Suriano, Ian P Erkkila, Thomas M Vara

Surgery Articles

BACKGROUND: Levothyroxine is a commonly prescribed medication for treatment of hypothyroidism in the United States. This drug is titrated based on weight and serial laboratory evaluation and is often very well tolerated with few adverse effects. Levothyroxine-associated liver injury and cholestatic disease are regarded as rare phenomena. We report an additional case of levothyroxine-associated hepatic dysfunction with resolution upon decreased dosage and continued tolerance of the medication.

CASE PRESENTATION: We report a case of a 60-year-old male presenting for preoperative clearance for umbilical hernia repair with previous history of thyroidectomy for multinodular goiter. Laboratory work-up suggested thyrotoxicosis-associated hepatic dysfunction secondary …

Obesity, Metabolic Health, And Diabetic Complications In People With Type 1 Diabetes., Yuanjie Mao, Jen-Tzer Gau, Ning Jiang

Ambulatory and Primary Care Articles

AIM: The concept of metabolically healthy obesity (MHO) has not been studied in type 1 diabetes (T1D). By analysing datasets from the DCCT/EDIC study, we compared the development of diabetic complications by obesity and metabolic health over 30 years of follow up.

MATERIALS AND METHODS: Insulin resistance was calculated by estimated glucose disposal rate (eGDR). The participants (n = 1127) were then divided into four groups based on time-weighted mean body mass index and mean eGDR: metabolically healthy non-obesity (MHN, n = 874), metabolically unhealthy non-obesity (MUN, n = 66), MHO (n = 146) and metabolically unhealthy obesity (MUO, n …

Starting The Conversation: Patient Perceptions Of Self-Assessed Type-2 Diabetes Risk., Bennett Collis, Huda Kutmah, Peyton Couch, Neelima J Kale, Karen L Roper

Ambulatory and Primary Care Articles

INTRODUCTION: Little is known about patients' perceptions of their risk for type-2 diabetes (T2D), or if knowledge of risk could facilitate weight and diabetes prevention discussions with health care professionals.

METHODS: In our academic family medicine practice, 25 patients completed a previsit T2D risk assessment on their phone and answered interview and survey questions to assess their understanding of their risk for developing T2D.

RESULTS: Interest in their T2D risk was high, but self-estimation of risk before obtaining their score was low (21/25 reported ≤30% chance of developing diabetes). All patients perceived T2D to be very serious, most remembered their …

Petechiae And A Persistent Violaceous Nodule: A Presentation Of Blastic Plasmacytoid Dendritic Cell Neoplasm To Dermatology., Madison Anzelc, Christina Druskovich, Austin Cusick, Matthew Franklin

Ambulatory and Primary Care Articles

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare, highly aggressive CD4+ CD56+ hematopoietic malignancy. The cutaneous presentation is variable but often includes violaceous nodules. We present a rare case of BPDCN, which featured dermatological findings consisting of erythematous macules, petechiae, purpura, and a violaceous nodule. A skin biopsy and peripheral blood smear supported a diagnosis of BPDCN. With BPDCN favoring cutaneous involvement, we urge dermatologists to be aware of the possibility of a BPDCN diagnosis in patients who present with purpuric nodules and petechial skin findings, especially when it is not easily explainable by another pathology or medication.

An Evidence-Based Consensus For The Use Of Neurostimulation For The Treatment Of Non-Surgical Low Back Pain: The Neuron Group., Timothy Ray Deer, Jason E Pope, Erika A Petersen, Rany T Abdallah, Kasra Amirdelfan, Nomen Azeem, Vishal Bansal, Kaku Barkoh, Kenneth B Chapman, Daniel R Denis, Michael J Dorsi, Alexander Escobar, Steven Michael Falowski, Rosa Amelia Garcia, Jonathan M Hagedorn, Robert D Heros, Whitney S James, Hemant Kalia, Todd Lansford, Mark N Malinowski, Suzanne Marie Manzi, Pankaj Mehta, Robert Z Moghim, Gregory Anthony Moore, Soriaya Lizette Motivala, Yeshvant A Navalgund, Raj G Patel, Julie G Pilitsis, Michael E Schatman, Philip Michael Shumsky, Natalie Holmes Strand, Nestor D Tomycz, James J Yue, Dawood Sayed

Neuroscience Articles

INTRODUCTION: The use of electrical neuromodulation has often been limited to those with previous back surgery, peripheral neuropathy, and complex regional pain syndrome. Many patients with severe intractable low back pain were thought to be candidates for spinal cord stimulation (SCS), dorsal root ganglion stimulation, or peripheral nerve stimulation but did not meet the criteria. Recently, additional high-level data has supported the use of SCS in non-surgical low back pain (NSLBP), and United States Food and Drug Administration approval has been granted. The American Society of Pain and Neuroscience (ASPN) executive committee realized an unmet need to develop criteria for …

Real-World Clinical Utility Of A Multi-Protein, Blood-Based Biomarker Assay For Disease Activity Assessments In Multiple Sclerosis., Angela Sanchez, Elisa Sheng, Sarah Eagleman, James L Eubanks, Patricia Izbicki, Shannon Mccurdy, Matt Burril, Ferhan Qureshi, Ati Ghoreyshi, Mitzi Joi Williams, Megan Weigel, William Kilgo, Jacqueline Nicholas, Annette Okai, Martin Belkin, Julie Burnham, Yasir Jassam, Michael Sy, Taylor Gonyou

Neuroscience Articles

BACKGROUND: Blood-based biomarkers have emerged as promising tools to optimize treatment decisions in multiple sclerosis (MS) including initiation, switch, or cessation of disease modifying therapies.

OBJECTIVES: The clinically validated MS disease activity (MSDA) test measures 18 proteins to derive a disease activity score. This study tests the clinical utility of MSDA in real-world practice.

METHODS: Twenty clinicians from 14 clinics conducted a chart review utilizing a retrospective, longitudinal design, with a pre-post component. Chart reviews captured clinician decision-making before and after receipt of each MSDA result, while separate clinician assessments also captured the perceived impact of MSDA on MS management. …

Psychosocial Behavioral Phenotypes Of Racially/Ethnically Minoritized Older Adults Enrolled In Habs-Hd Differ On Neuroimaging Measures Of Brain Age Gap, Hippocampal Volume, And Cortical Thickness, Alexandra L Clark, Makenna B Mcgill, Alexandra J Weigand, Julie K Wisch, Kalen Petersen, Beau Ances, Meredith N Braskie, Sid O'Bryant, Kelsey R Thomas, Habs‐Hd Study Team

2020-Current year OA Pubs

INTRODUCTION: This study examined whether previously identified psychosocial behavioral phenotypes differed on structural neuroimaging markers.

METHODS: Latent profile analysis (LPA) employed in a sample of 1820 community-dwelling older adults (1118 Hispanic and 702 Black) replicated previous Low Resource/Low Distress, High Resource/Low Distress, and Low Resource/High Distress phenotype classifications. Analyses of covariance (ANCOVAs) adjusting for relevant factors examined phenotype differences on neuroimaging outcomes of predicted brain age gap (BAG) (DeepBrainNet

RESULTS: The Low Resource/Low Distress and Low Resource/High Distress phenotypes had significantly higher predicted BAGs relative to the High Resource/Low Distress phenotype, and the Low Resource/High Distress group displayed significantly lower …

Surgical Repair Of An Atypical Midsubstance Distal Biceps Tendon Partial Tear: A Case Report, Michael M. Valenzuela, Genoveffa R. Morway, Christopher M. Jones

Orthopedic Surgery Resident Research

[No abstract available]

Pseudoachondroplasia, A Case Report (Preprint), Alec J. Pupo, Connor J. Stinson, Autumn Dye

Internal Medicine Resident Research

No abstract available.

Wearable-Derived Heart Rate Variability Reveals Autonomic Dysfunction In Schizophrenia (Preprint), Alec J. Pupo, Stephanie H. Felgoise

Internal Medicine Resident Research

Autonomic dysfunction has long been implicated in schizophrenia, yet objective physiological markers remain underutilized in psychiatric research. Heart rate variability (HRV), a noninvasive measure of autonomic regulation, is conventionally derived from short electrocardiographic recordings. In this study, we tested whether continuous, wearable-derived HRV can identify physiologic alterations in schizophrenia-spectrum disorders. Using the NIH All of Us database, we analyzed second-level Fitbit heart rate data from 26 individuals with schizophrenia-spectrum diagnoses and 26 matched controls. Frequency-domain analyses focused on ultra-low frequency (ULF), very low frequency (VLF), and truncated low frequency (tLF) bands, given sampling constraints. Schizophrenia participants showed significantly reduced power …

Elevated Neutrophil-To-Lymphocyte Ratios In Schizophrenia: Insights From A Precision Medicine Cohort (Preprint), Alec J. Pupo, Connor J. Stinson, Chinwendu Madukwe, Stephanie H. Felgoise

Internal Medicine Resident Research

Systemic inflammation has been increasingly implicated in the pathophysiology of schizophrenia. The neutrophil-to-lymphocyte ratio (NLR), a readily available marker of systemic inflammation, has not been thoroughly investigated in large, demographically-matched schizophrenia cohorts. Using data from the All of Us Research Program, we analyzed participants with schizophrenia (n = 396) matched to controls (n = 396) by sex, race, and age. NLR was calculated as the ratio of each participant’s median neutrophil count to median lymphocyte count across all available measurements, excluding extreme values (NLR > 7). Distribution normality was assessed using the Shapiro–Wilk test, and group differences were evaluated with the …

New Graduate Nurse Professional Perseverance Strategies In A Time Of Crisis, Jennifer E. Smith Edd

Dissertations of Practice

This qualitative grounded theory study examined how new graduate nurses who entered practice just prior to and during the COVID-19 pandemic developed and sustained resilience while navigating extraordinary professional and personal challenges. The study focused on associate degree nurses who graduated between December 2018 and May 2022 and were employed in acute and sub-acute care settings with direct patient care responsibilities, including the care of patients with COVID-19. Data were collected through semi-structured interviews and reflective journal entries and analyzed using open, axial, and selective coding.

Findings revealed that resilience was not a static characteristic but an evolving process influenced …

Beyond Grit: Structural Determinants Of Resilience Among College Women With Children In The U.S., Juliana Kahrs

Dissertations of Practice

This critical quantitative analysis explores how social determinants of health, including basic needs security, caregiving and work responsibilities, healthcare access, discrimination experiences, and institutional support predict resilience among U.S. college women with dependents. Using data from the Spring 2021 ACHA-NCHA III survey (n = 4,417), this study integrated the Health Equity Framework with the Social Ecological Theory of Resilience to examine multilevel influences on resilience. Descriptive analyses highlighted disproportionate burdens among single, first-generation, and racially minoritized groups. Bivariate chi-square tests revealed significant associations between resilience and sense of belonging, basic needs security, employment, healthcare utilization, and self-assessed overall health. Multinomial …