Health Information Technology Commons^™

Depression Due To Combined Dexamethasone And Cyproheptadine Abuse For Weight Gain, Sanjana Sateesh, Jatin Kumar, Dhananjay Ardawatia, Kishor M, Shashidhara Kc, Srikanth Ms

Digital Journal of Clinical Medicine

Cyproheptadine, an H1 antihistamine, and Dexamethasone, a long-acting steroid, are often misused in combination for addressing self-perceived body image issues and have become a popular but dangerous ‘weight gain cocktail’, often available over the counter without any prescription. This case describes a 25-year-old man who had self-prescribed the above-mentioned drugs in combination to address his self-perceived lean physique. This resulted in a significant weight gain, followed by an abnormal increase in appetite, which affected his daily life. Upon cessation, it resulted in rebound weight changes, depressive features, along with features of corticosteroid withdrawal, which required multidisciplinary management.

This case highlights …

A Study Of Awareness Of Antiseptics And Disinfectant Use Among Allied Health Sciences Students And Interns Of A Tertiary Care Hospital, Pooja M, Puneeth A, Sharmi Nm

Digital Journal of Clinical Medicine

Background:

Antiseptics and disinfectants are among the most vital tools in infection prevention and control (IPC), especially in healthcare settings where the risk of hospital-acquired infections (HAIs) remains a significant concern. This study aims to assess the awareness and knowledge of antiseptics and disinfectants among Allied Health Sciences (AHS) students and interns, identify knowledge gaps at different stages of training, and recommend educational interventions.

Methods:

This was a cross-sectional, questionnaire-based study conducted among 1st to 3rd-year AHS students and interns at a tertiary care hospital. Data were collected using a validated questionnaire via a Google form after obtaining approval from …

Morphea With Seronegative Inflammatory Arthritis And Normal Acute Phase Reactants: A Case Report, Balakrishnan Navaneethakrishnan, Mahabaleshwar Mamadapur

Digital Journal of Clinical Medicine

Localised scleroderma, also known as morphea, is an immune-mediated fibrosing disorder that primarily affects the skin and subcutaneous tissues. While traditionally considered purely a cutaneous disease, extracutaneous manifestations (especially inflammatory arthritis) are increasingly being appreciated. The combined presence of morphea and inflammatory arthritis is rare and can be difficult to diagnose, particularly when inflammatory markers and serological testing are non-contributory.

Case Summary : We describe a 41-year-old woman with long-standing biopsy-proven morphea who over 2 years developed chronic, asymmetric inflammatory arthritis of the left wrist and hand small joints. On examination, she had active synovitis with restricted movements of her …

Pseudo-Hallucinations: A Diagnostic Conundrum, Dr Sankram Nayak, Manju Aswath, Vathsalya S. Gowda

Digital Journal of Clinical Medicine

Background:

Pseudohallucinations are vivid, hallucination-like experiences that are internal, recognized as unreal. Distinguishing from true hallucinations remains a diagnostic challenge.

Case-report

33-year-old female with family history of psychosis presented with 10-year duration of delusion of infidelity and auditory experiences, with normal Biopsychosocial functioning. She had multiple psychiatric consultations, diagnosed as paranoid schizophrenia, treated with  various antipsychotics, ECT, current prescription of clozapine(350mg) with clozapine induced seizure.  Reported that her husband was emotionally unavailable. She described the voices in her head which were non-threatening, praising her for having qualities of an ideal-wife.  They were constant companions giving her solace and hence refrained …

March 2026, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

National Nutrition Month

Nutrition Tips for Bulldogs

Bulldog Resources

Simple Heart-Healthy Recipes for College Students

Student Mental Health: Screening For Stress, Anxiety And Depression Using Fitbit Data, Rebecca Lopez, Avantika Shrestha, Ml Tlachac, Kevin Hickey, Xingting Guo, Shichao Liu, Elke Rundensteiner

Information Systems and Analytics Department Faculty Conference Proceedings

College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data that can be used for the early detection of mental illness. However, current research is limited concerning the variety of psychological instruments administered, physiological modalities, and time series parameters. In this research, we collect the Student Mental and Environmental Health (StudentMEH) Fitbit dataset from students at our institution during the pandemic. We assess the ability of predictive machine learning models to screen for depression, anxiety, and stress using different Fitbit modalities. Our findings indicate potential in physiological modalities such as heart …

March 2026, Swosu Rural Health Center

RURAL ROCKS

• Understanding the PREVENT Calculator in the 2025 AHA Hypertension Guidelines
• CMS Releases Medicaid and CHIP Beneficiary Profile and Infographic
• FDA Requests Removal of Suicidal Behavior and Ideation Warning from Glucagon-Like Peptide-1 Receptor Agonist (GLP-1 RA) Medications
• Walgreens: Flu reaches highest level in U.S. in 25 years
• Walmart boosts pay potential for pharmacy technicians, elevates 3,000 roles
• FDA Launches PreCheck Pilot Program to Strengthen Domestic Pharmaceutical Manufacturing
• Pharmacy undergoes a tech takeover
• President Trump signs landmark PBM reforms into law
• Pharmacy through generations

The Wear-Bot Checklist: A Risk Of Bias Tool For Evaluating Validity And Reliability Research In Wearable Technology, Bryson Carrier, Jennifer A. Bunn, Chris Eschbach, Joel D. Reece, Gregory J. Welk, Brett A. Dolezal, James W. Navalta

Kinesiology and Nutrition Sciences Faculty Research

This paper proposes an innovative tool designed to standardize the evaluation of validity and reliability studies in the rapidly evolving field of wearable technology. We introduce the WEArable Technology Risk of Bias and Objectivity Tool (WEAR-BOT), a tool that addresses the need for a comprehensive and systematic way to assess bias in studies examining consumer-grade and research-grade wearable devices. This is the first tool designed to evaluate the risk of bias in validation and reliability studies. Other risk of bias tools like the Cochrane ROB, COSMIN, or the many other risk of bias tools are designed for different study methodologies …

Abortions In The Mountain West, 2022-2025, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Health

This fact sheet presents data on the number of abortions provided annually in the Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah between July 2022 and June 2025. The data are retrieved from the Society of Family Planning’s #WeCount report,  which includes data on abortion volume across all 50 U.S. states and Washington, D.C. This fact sheet focuses on the administration of both in-person and telehealth abortions in the Mountain West.

Cationic Poly(Glucosamine)-Based Polymers Bind To Glycans With Varying Affinity Facilitating Transport Across The Glycocalyx Of Endothelial Cells, Claire Bridges, Lu Fu, Dan Wang, James D. Sterling, Susanna Liang, Shenda M. Baker, Jonathan Yeow, Megan S. Lord

Business and Information Technology Faculty Research & Creative Works

Natural polysaccharides, such as chitosan, offer promising avenues for drug delivery due to their cytocompatibility and ability to interact with cell surfaces. However, the endothelial glycocalyx, a glycan-rich extracellular matrix, presents a barrier that must be navigated for effective intracellular delivery. This study investigates how cationic poly(glucosamine)-based polymers, functionalized with guanidinium or ammonium groups, interact with key glycocalyx components including hyaluronan (HA) and heparan sulfate (HS). We demonstrate that these cationic polymers form tunable biomolecular condensates with glycans, with stronger binding observed for sulfated glycans, HS and heparin, than unsulfated HA. Derivatized chitosan polymers with varied cationic side chains exhibit …

Primary Care Providers' Perspectives On Telehealth Medicare Annual Wellness Visits For Older Adults In A Midwestern Health System, Vaibhavi Mone, Paul Estabrooks, Jane Potter, Hongmei Wang, Jungyoon Kim

Health Services and Informatics Research

Background

Medicare annual wellness visits (AWVs) are vital for older adults' preventive care, which was transitioned to telehealth modalities during COVID-19. This study examined primary care providers' perceptions of telehealth-delivered AWVs and explored the factors influencing telehealth implementation using the Practical Robust Implementation and Sustainability Model (PRISM).

Participants and Setting

Twenty-five primary care providers from eight clinics within an integrated health system in the Midwestern United States were interviewed. Eligibility required having conducted at least one telehealth AWV for patients aged 65 or older between March 2023 and October 2023.

Methods

Semi-structured interviews lasting 30–45 min were conducted using purposeful …

Detecting Stigmatizing Language In Clinical Notes With Large Language Models For Addiction Care, Rohan Sethi, John Caskey, Yanjun Gao, Matthew M. Churpek, Timothy A. Miller, Anoop Mayampurath, Elizabeth Salisbury-Afshar, Majid Afshar, Dmitriy Dligach

Computer Science: Faculty Publications and Other Works

Intensive care units (ICU) produce numerous progress notes that may contain stigmatizing language that perpetuate negative biases and punitive approaches against patients. Patients with substance use disorders are particularly vulnerable to stigma. This study examined the performance of Large Language Models (LLMs) in the identification of stigmatizing language. We annotated a dataset with over 77,000 stigmatizing and non-stigmatizing notes from the MIMIC-III database. We utilized Meta's Llama-3 8B Instruct LLM to run the following experiments for stigma detection: zero-shot; in-context learning; in-context learning with a selective retrieval; supervised fine-tuning (SFT); and keyword search. All approaches were evaluated on a held-out …

Obstructive Sleep Apnea Prediction: A Comprehensive Review And Comparative Study, Thi Khanh Chi Huynh, Amonae Dabbs-Brown, Anna Jurek-Loughrey, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An, Peixin Li, Phi Hung Nguyen, Thi Linh Hoang, Xinming Shi, Hans Vandierendonck, Sebastien Bailly, Jean-Louis Pépin, Thai Son Mai

Research Collection School Of Computing and Information Systems

Obstructive Sleep Apnea (OSA) is a highly prevalent sleep disorder linked to considerable public health burdens and comorbidities. However, its heterogeneous presentation and the limited accessibility of traditional diagnostic tools such as polysomnography (PSG) lead to widespread underdiagnosis. As a result, artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL) models, have attracted attention as an alternative pathway to detection. This paper first provides a comprehensive review of AI-driven OSA diagnosis, covering different diagnosis problems, input-data types, data biases, pre-processing techniques, and model performance. We then leverage the largest clinical dataset used in OSA prediction to date, …

February 2026, Swosu Rural Health Center

RURAL ROCKS

• Current Indications for Sodium-Glucose Cotransporter 2 (SGLT2) Inhibitors
• CMS unveils LEAD, its new 10-year accountable care model
• UnitedHealthcare pauses effort to cut RPM coverage after stating the tech has 'no evidence'
• Walgreens unveils PharmStart to strengthen tech-to-pharmacist pipeline
• Rural Health Transformation Program awards announced—Here's who's getting the most in FY2026
• FDA Grants Two National Priority Vouchers
• 2026 Outlook: Hybrid care companies poised for growth driven by economic, policy tailwinds
• Brain Drain: Retail pharmacy struggles to retain pharmacists, pharmacy technicians
• The 5 biggest challenges facing retail pharmacy
• Retail pharmacy must mine the gaps
• CMS Establishes Office of Rural Health Transformation Nationwide …

February 2026, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

• American Heart Month
• Heart-Healthy Tips for Bulldogs
• Bulldog Resources

A Murine Model Of Cardiovascular-Kidney-Metabolic Syndrome Demonstrates Compromised Limb Function In The Ischemic Hind Limb, Saran Lotfollahzadeh, Herreet Paul, Joshua Bonifacio, Ricardo Almiron, Isaac Hockestra, Kylla Przekop, Trent Yamamoto, Maria Carmen Piqueras, Wenqing Yin, Kashvi Sethuraman, Asha Jose, Marina Malikova, Jeffrey J Siracuse, Mostafa Belghasem, Howard Cabral, Nazish Sayed, Vipul C Chitalia

Faculty and Staff Publications

Key Points:

1. Cardiovascular-kidney-metabolic (CKM) is a global public health problem; however, its mediators remain poorly known, in part due to the lack of a reliable animal model.

2. A combination of high fat and adenine diet recapitulate some of the CKD and metabolic phenotypes of CKM.

3. This model also demonstrates myocardial fibrosis and peripheral artery disease with sex-based differences and can be leveraged to probe mechanisms of CKM.

Background: Cardiovascular-kidney-metabolic (CKM) syndrome is a public health problem in the United States and results in premature cardiovascular disease at a relatively preserved GFR. The molecular mediators of CKM are poorly understood, partly …

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

Pemodelan Regresi Logistik Spasial Pada Kejadian Demam Berdarah Dengue (Dbd) Di Provinsi Jawa Barat Tahun 2023, Valida Ulfa Septiana, Sutanto Priyo Hastono

Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan

Demam Berdarah Dengue (DBD) merupakan salah satu penyakit menular yang masih menjadi masalah kesehatan masyarakat di Indonesia, termasuk Provinsi Jawa Barat, dengan rata-rata kejadian yang lebih tinggi dari rata-rata nasional. Analisis spasial diperlukan untuk memahami pola penyebaran DBD, mengingat adanya kemungkinan pengaruh antar wilayah. Penelitian ini bertujuan untuk menganalisis pengaruh faktor sosio-demografi, faktor perilaku, serta efek spasial kedekatan geografis antar wilayah terhadap kejadian DBD di Provinsi Jawa Barat tahun 2023. Penelitian ini menggunakan desain potong lintang dengan unit analisis 27 kabupaten/kota di Jawa Barat tahun 2023. Data sekunder diperoleh dari Survei Kesehatan Indonesia 2023 dan Jawa Barat dalam Angka 2024. …

Analisis Usia Awal Merokok Remaja Dan Perilaku Merokok Orang Tua Di Indonesia: Studi Gshs 2015, Cathrine Jane David, Qonita Ayunina, Janitra Larasati, Glory Soemoele

Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan

Kebiasaan merokok masih menjadi permasalahan kesehatan global, termasuk Indonesia. Tingginya prevalensi perokok usia remaja menjadi tantangan kesehatan masyarakat yang salah satu penyebabnya adalah perilaku merokok orang tua. Oleh karena itu, penelitian ini bertujuan untuk menganalisa hubungan antara perilaku merokok orang tua dengan usia awal merokok pada remaja. Penelitian ini menggunakan desain studi potong lintang berdasarkan data Global School-based Student Health Survey (GSHS) 2015. Sampel penelitian ini berjumlah 2027 responden yang dipilih secara acak sistematik. Analisis data dilakukan dengan analisis univariat dan bivariat menggunakan uji Chi-square untuk melihat hubungan antar variabel. Hasil analisis menunjukkan bahwa sebagian besar responden memulai kebiasaan merokok …

Analisis Klaim Odc Dan Kesiapan Sistem Informasi Rumah Sakit Dalam Mendukung Pengelolaan Klaim Bpjs: Studi Kasus Di Rs. Fatmawati, Grahyta Dhamayanti, Arifin Arifin

Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan

Masalah klaim tertunda BPJS Kesehatan pada layanan rawat inap kategori one day care (ODC) masih menjadi isu strategis di Rumah Sakit (RS) Fatmawati. Hal ini menyebabkan layanan tidak efisien dan potensi kerugian finansial. Hingga saat ini, mekanisme deteksi dini yang sistematis untuk mengidentifikasi masalah potensi klaim ODC belum tersedia secara optimal. Penelitian ini bertujuan menganalisis pola klaim ODC serta menyusun model konseptual deteksi dini potensi klaim ODC berbasis data Sistem Informasi Manajemen Rumah Sakit (SIMRS). Penelitian menggunakan desain deskriptif analitik dengan pendekatan metode campuran. Analisis kuantitatif dilakukan terhadap 2.401 data klaim rawat inap periode Januari–April 2025 di RS. Fatmawati, meliputi …