Digital Commons Network^™

Emergency Department Utilization Among Youth In Foster Care: Benefits Of A Patient-Centered Medical Home, Nicholas Szoko, Allison Phad, Mary E Fournier, George M Hoganson, Melissa Jonson-Reid

2020-Current year OA Pubs

BACKGROUND: Foster youth face unique medical, psychological, and social challenges, which can impact patterns of emergency department (ED) utilization. The patient-centered medical home (PCMH) offers a potential model to reduce overutilization of healthcare resources. Little work has examined relationships between PCMHs and ED utilization among foster youth.

OBJECTIVES: We sought to describe longitudinal trends in ED utilization among foster youth in a PCMH.

METHODS: This retrospective cohort study leveraged electronic health record data from foster youth seen in a PCMH from 2018 to 2024. Frequency of ED utilization was calculated before, during, and after involvement in the PCMH. We used …

Perspectives Of Key Stakeholders On Integrating Wearable Sensor Technology Into Rehabilitation Care: A Mixed-Methods Analysis, Allison E Miller, Carey L Holleran, Marghuretta D Bland, Ellen E Fitzsimmons-Craft, Caitlin A Newman, Thomas M Maddox, Catherine E Lang

2020-Current year OA Pubs

INTRODUCTION: Rehabilitation is facing a critical practice gap: Patients seek out rehabilitation services to improve their activity in daily life, yet recent work demonstrates that rehabilitation may be having a limited impact on improving this outcome due to lack of objective data on patients' activity in daily life. Remote monitoring using wearable sensor technology is a promising solution to this address this gap. The purpose of this study was to understand patient and clinician awareness of the practice gap and preferences for integrating wearable sensor technology into rehabilitation care.

METHODS: This study used a mixed-methods approach consisting of surveys and …

Barriers And Facilitators Of Integrating Cervical Cancer Screening Into Routine Hiv Care And Acceptability Of Self-Sampling For Hpv Dna Testing Among People With Hiv: An Exploratory Study In Southern Ghana, Evelyn Yayra Bonney, Emmanuel Frimpong Gyekye, Jonathan Klutse, Dzidzor Aku Attoh, Yeena Abla Tay, Nicholas Ekow Thomford, Mary Amoakoh-Coleman, Kwadwo Ansah Koram, George Boateng Kyei, Collins Stephen Ahorlu

2020-Current year OA Pubs

BACKGROUND: Cervical cancer poses a substantial global health challenge, disproportionately affecting low- and middle-income nations. Women living with HIV are disproportionately affected compared to the general population. Our study explored the acceptance and preferences of participants regarding cervical cancer screening procedures during their HIV clinic visits.

METHODS: Using the Consolidated Framework for Implementation Research (CFIR) to inform questions, we conducted semi-structured in-depth qualitative interviews with 85 people with HIV (PWH), across six southern Ghana sites, to identify factors that could promote or impede the integration of cervical cancer screening into HIV care in Ghana. We also explored the acceptability of …

Perceptions Of Oral Corticosteroid Use For Children With Asthma In A Survey Of Us Caregivers, Nina C Ramirez, Vivian Hernandez-Trujillo, Kaharu Sumino, Dennis Williams, Mitu Patel, Donna D Gardner

2020-Current year OA Pubs

INTRODUCTION: Oral corticosteroids (OCS) are an essential component of asthma treatment, but their long-term effects can be serious and cumulative. Potentially serious effects include adrenal suppression and psychological effects. To mitigate side effects, OCS use should be minimized. A survey of caregivers in the US was conducted to determine their perceptions of OCS use for their child with asthma.

METHODS: Individuals who participated in US consumer research panels were invited to complete an online cross-sectional survey from October-November 2023. Eligible participants were caregivers of a child ages 6-17 years currently being treated for asthma by a healthcare provider and who …

Hydroxyurea Utilization Among Individuals With Sickle Cell Disease In Tennessee: A Pooled Analysis Of Claims Data, Ayesha Mukhopadhyay, Matthew P Smeltzer, Judy Dudley, Sherif M Badawy, Joacy G Mathias, Allison P Plaxco, Meredith A Ray, Andrew D Wiese, Walter I Stevens, James G Gurney, Chinonyelum Nwosu, Jerlym S Porter, Lisa M Klesges, Jane S Hankins, William O Cooper

2020-Current year OA Pubs

IMPORTANCE: Hydroxyurea reduces severe disease among individuals living with sickle cell disease (SCD). These individuals experience high acute care utilization, but the associations between patterns of hydroxyurea utilization and healthcare utilization are not well investigated.

OBJECTIVE: This study aimed to determine the association between hydroxyurea use and healthcare utilization among individuals with SCD in Tennessee (TN).

DESIGN: We conducted a population-based, retrospective cohort study of individuals with SCD using secondary data analysis of Tennessee Medicaid, Medicare, and BlueCross BlueShield of Tennessee (BCBS-TN).

PARTICIPANTS: A total of 4,901 individuals with SCD were included in the study.

EXPOSURE: Hydroxyurea adherence was estimated …

Stimulating Training And Access To Hiv Research Experiences (Star Program): A Protocol For A Crowdsourced, Project-Based, Implementation Science Training Program Using Mixed-Methods Design, Juliet Iwelunmor, Idia Thurston, Collins Airhihenbuwa, Weiming Tang, Ucheoma Catherine Nwaozuru, Onyekachukwu Anikamadu, David Oladele, Bryce Takenaka, Khadijah Ameen, Olufunto A Olusanya, Temitope Ojo, Joseph D Tucker

2020-Current year OA Pubs

BACKGROUND: HIV is more common among underrepresented minority adolescents and young adults (AYA, 13-24 years old) in the United States. Low uptake of HIV prevention services suggests a missed opportunity for implementing evidence-based interventions such as pre-exposure prophylaxis (PrEP) and sexually transmitted infection testing among this important population. Most research institutions in the United States also have limited opportunities for AYA training, mentorship, and capacity-building activities.

METHODS: The "Stimulating Training and Access to HIV Research Experiences" (STAR) program brings together a highly qualified group of research mentors to achieve three specific aims: (1) identify and recruit underrepresented minority AYA interested …

Advancing Sustainability In Low-Resource Settings: Development And Validation Of A Sustainability Tool For Evidence-Based Interventions And Programs, Chisom Obiezu-Umeh, Divya S Subramaniam, Ucheoma Nwaozuru, Titilola Gbaja-Biamila, Lateef Akeem Blessing, Thembekile Shato, David Oladele, Lisa R Hirschhorn, Enbal Shacham, Hong Xian, Oliver Chukwujekwu Ezechi, Juliet Iwelunmor

2020-Current year OA Pubs

INTRODUCTION: Despite substantial research and growing evidence on effectiveness, the longer-term benefits of proven healthcare interventions and programs have not been fully explored due to challenges sustaining such efforts. Existing sustainability measures developed in high-income countries may not reflect determinants unique to the sustainability of interventions in low- and middle-income countries (LMICs), including African countries. To address this gap, our study developed a Sustainability Tool to Assess Evidence-Based Interventions and Programs (STEPS), which provides a theory-based measure that can be used to assess multilevel determinants of sustainability from the perspective of frontline health workers, service providers, or implementation practitioners.

METHODS: …

Evaluating A Community Academic Partnership To Advance Equity-Focused Cancer Genetic Implementation Research: A Qualitative Analysis Of Partner Perspectives, Ariana Naaseh, Meera Muthukrishnan, Isabel Temosihue, Erin L Linnenbringer

2020-Current year OA Pubs

BACKGROUND: Forming community academic partnerships (CAPs) can increase the applicability, translation, and dissemination of implementation research focused on addressing health inequities within the community setting. We aimed to explore community and academic partners' perspectives on their participation in a novel, multi-disciplinary cancer genetic equity CAP focused on developing a multi-level intervention for breast, ovarian, prostate, and pancreas cancers.

METHODS: We conducted semi-structured interviews with CAP members. Questions addressed partners' motivations for participation in the CAP, feedback about the partnership, and opportunities for future CAPs. All interviews were audio-recorded, de-identified, transcribed, and then coded inductively by 2 analysts to identify relevant …

Automated Basal Insulin Delivery Versus Multiple Daily Injections In Type 1 Diabetes: Results From A Randomized Parallel Controlled Trial, Johan H Jendle, Janet B Mcgill, Et Al.

2020-Current year OA Pubs

INTRODUCTION: This study evaluated 6-month effectiveness and safety of automated insulin delivery (AID) in comparison with multiple daily injections (MDI) in pediatric and adult type 1 diabetes (T1D).

MATERIALS AND METHODS: Individuals with T1D, aged 2-80 years, were enrolled across 32 international centers (in the United States, Europe, Canada, and New Zealand) and randomized 1:1 to AID intervention (MiniMed™ 670G or 770G system) or MDI with or without continuous glucose monitoring. Primary endpoints were change in mean HbA1c for participants with a baseline HbA1c >8.0% (Group 1) and percentage of time spent below 70 mg/dL (%TBR < 70 mg/dL [< 3.9 mmol/L]) for participants with baseline HbA1c ≤8.0% (Group 2), to show superiority of AID intervention versus MDI. Safety endpoints including rates of severe hypoglycemia and diabetic ketoacidosis (DKA), and difference in diabetes treatment satisfaction score were assessed.

RESULTS: For Group 1, …

Co-Designing A Mobile Application To Reduce Self-Stigma For People With Opioid Use Disorder During Pregnancy And The Postpartum Period, Bailey W Osweiler, Thue Rammaha, Hannah S Szlyk, Nathaniel A Dell, Jushawn Macon, Nicholas C Jacobson, Casey Burley, Micah Goodman, Patricia A Cavazos-Rehg, Alex T Ramsey

2020-Current year OA Pubs

AIMS: Pregnant and postpartum individuals (PPI) face unique challenges to recovery from opioid use disorder (OUD), including stigma from self and others.

METHODS: In this fully-remote study, participants provided human-centered design feedback in semi-structured interviews at 1-month to guide adaptations. Participants also completed structured questionnaires including validated measures of self-stigma at baseline, 1-month, and 2-month follow-ups and technology acceptance at 1-month and 2-month follow-ups. Paired samples t-tests determined whether differences existed between baseline and 2-month self-stigma and between 1-month and 2-month technology acceptance.

RESULTS: Twenty PPI (40% pregnant, 60% postpartum) representing diverse geographic U.S. regions used

CONCLUSIONS: These results support …

Speech Pattern Disorders In Verbally Fluent Individuals With Autism Spectrum Disorder: A Machine Learning Analysis, Chuanbo Hu, Jacob Thrasher, Wenqi Li, Mindi Ruan, Xiangxu Yu, Lynn K Paul, Shuo Wang, Xin Li

2020-Current year OA Pubs

INTRODUCTION: Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals based on speech patterns in examiner-patient dialogues is challenging because speech-related symptoms are often subtle and heterogeneous. This study aimed to identify distinctive speech characteristics associated with ASD by analyzing recorded dialogues from the Autism Diagnostic Observation Schedule (ADOS-2).

METHODS: We analyzed examiner-participant dialogues from ADOS-2 Module 4 and extracted 40 speech-related features categorized into intonation, volume, rate, pauses, spectral characteristics, chroma, and duration. These acoustic and prosodic features were processed using advanced speech analysis tools and used to train machine learning models to classify ASD participants into two subgroups: …

Religious Factors Predict Support For Genomic Medicine More Strongly Than Politics, Education, Or Trust: A Survey Of 4,939 Adults In The United States, James M Dubois, Eu Gene Chin, Erin D Solomon, Jenine K Harris, Peter Hill, Kari Baldwin, Lauren L Baker

2020-Current year OA Pubs

BACKGROUND: Religious affiliation and attendance at services is associated with lower levels of support for some genomic activities, such as genetic testing. However, little is known about why or how religion shapes attitudes toward genomics.

MATERIALS AND METHODS: We conducted a cross-sectional survey with 4,939 participants representative of nine religious groups in the US (including atheist and agnostic). The survey examined (a) attitudes toward diverse activities associated with genomic medicine, (b) religious beliefs and practices, (c) control variables including trust in the healthcare system and knowledge of genetics, and (d) demographics. We examined differences between groups using an Analysis of …

Trust, Trust Repair, And Public Health: A Scoping Review, Peter Kalulu, Aubrey Fisher, Grace Whitter, Ipek Sener, Michelle Doering, David B Carter, Matthew Gabel, Jimin Ding, Michael Esposito, Caitlin L Mcmurtry, Pradeep Sopory, Mark D Huffman

2020-Current year OA Pubs

OBJECTIVE: This study investigates the scope of evidence on trust, trust repair, and public health.

METHODS: We identified quantitative studies that evaluated the relationship between trust or trust repair and public health from January 1990 to May 2023. Results were stratified evaluating trust as an exposure or outcome and reporting on trust repair. Data are reported on spatiotemporal trends in publications, level of trust (institutional trust, generalized trust, and interpersonal trust), types of trust measures used, objects and determinants of trust, and associations between trust and public health behaviors.

RESULTS: Among 194 included studies, most (86%, 166/194) were published after …

A Holistic Ecosystem Model To Diversify The Physician Workforce And Enhance Health, Erik J Porfeli, Sunny Nakae, Leila Amiri, Leila E Harrison, Will Ross

2020-Current year OA Pubs

IMPORTANCE: The U.S. medical education system attracts and trains the next generation of physicians to advance the health care needs of a growing and increasingly diverse nation. This system can be credited for supplying a physician workforce achieving remarkable growth and innovation, yielding one of the world's most technologically advanced health care systems on the planet. This system, unfortunately, also contributes to educational, workforce, and health disparities.

OBSERVATIONS: The successes and challenges of the medical education and health care system align with broader economic, health, and educational patterns in the United States. An ecological model can be employed to unite …

Sociodemographic Factors Predict Outcomes And Reveal Spatial Tumor Patterns In Glioblastoma, Patrick H Luckett, Michael Olufawo, Noah Naddaff-Slocum, Ki Yun Park, Bidhan Lamichhane, Donna Dierker, Gabriel Trevino Verastegui, John J Lee, Peter Yang, Albert Kim, Omar H Butt, Milan G Chheda, Abraham Z Snyder, Joshua S Shimony, Eric C Leuthardt

2020-Current year OA Pubs

BACKGROUND: Glioblastoma (GBM) is the deadliest malignant glioma of the central nervous system. Postsurgical functional impairment correlates with survival and is estimated using metrics such as extent and location of resection. This study uses machine learning to evaluate the predictive ability of baseline sociodemographic and lifestyle factors for forecasting postoperative functional outcomes in GBM patients.

METHODS: Glioblastoma patients (

RESULTS: Utilizing decision trees with age, SVI/SES, sex, tobacco use, alcohol use, obesity, and race as predictors, we achieved 88% accuracy in classifying median KPS and 85% accuracy in classifying KPS slope. Socioeconomic factors were the strongest predictors. Age, sex, and …

Tourette Syndrome Research Highlights From 2024 [Version 3; Peer Review: 2 Approved, 1 Approved With Reservations], Andreas Hartmann, Per Andrén, Cyril Atkinson-Clement, Virginie Czernecki, Cécile Delorme, Simon Morand-Beaulieu, Nanette Mol Debes, Kirsten Müller-Vahl, Peristera Paschou, Natalia Szejko, Apostolia Topaloudi, Kevin J Black

2020-Current year OA Pubs

We summarize research reports from 2024 relevant to Tourette syndrome, which the authors consider the most important or interesting. This working draft aims to submit this content for publication around the beginning of 2025 in the yearly Tourette Syndrome Research Highlights series on F1000Research. The authors welcome article suggestions and thoughtful feedback from readers, who can add a comment by clicking on the rectangular comment box icon to the left of the LOG IN link at the top of this page. For private comments, you can reach us by email ( [email protected] or [email protected]).

Tracking The Evolving Role Of Artificial Intelligence In Implementation Science: Protocol For A Living Scoping Review Of Applications, Evaluation Approaches And Outcomes [Version 2; Peer Review: 2 Approved], Guillaume Fontaine, Byron J Powell, Et Al.

2020-Current year OA Pubs

BACKGROUND: Artificial intelligence (AI) offers significant opportunities to improve the field of implementation science by supporting key activities such as evidence synthesis, contextual analysis, and decision-making to promote the adoption and sustainability of evidence-based practices. This living scoping review aims to: (1) map applications of AI in implementation research and practice; (2) identify evaluation approaches, reported outcomes, and potential risks; and (3) synthesize reported research gaps and opportunities for advancing the use of AI in implementation science.

METHODS: This scoping review will follow the Joanna Briggs Institute (JBI) methodology and the Cochrane guidance for living systematic reviews. A living scoping …

Puzzling Our Way Into Computational Thinking, David J. Mulder

Faculty Work Comprehensive List

This unplugged activity is a brief, practical introduction to computational thinking that uses an accessible and decidedly low-tech approach: solving a jigsaw puzzle. The skills needed to collaboratively solve a jigsaw puzzle illustrate the key concepts of computational thinking in a straightforward way that makes the basics of decomposition, pattern recognition, abstraction, and algorithmic thinking come to life. The learning representation included here was taught as part of a professional development workshop for PK-12 teachers but could easily be adapted to use with learners from upper elementary grades through middle school, high school, or university.

1 Of 84 The Discursive Tactics Of Perpetuating White Normativity In Public Education: A Critical Policy Discourse Analysis Of Anti-Crt Policies Across 18 States, Alison Wilson, Alissa Blair, Jason L. Endacott, Christopher Giller, Christian Z. Goering

Curriculum and Instruction Faculty Publications and Presentations

In recent years, state policies banning "divisive concepts" have proliferated as part of a coordinated effort to undermine racial justice by framing critical discussions of race as "indoctrination" and imposing ideological restrictions on curriculum and pedagogy. Using critical policy discourse analysis informed by a critical study of whiteness, this paper examines how 22 policy documents from 18 states operate discursively to shape the parameters of race-related discourse in public education. Our findings suggest that these policies employ three primary discursive maneuvers: (1) constructing false equivalencies that equate white discomfort with racial oppression, (2) appealing to "universal" values to obscure systemic …

Reimagining Intelligence: A Comprehensive Review Of Human-Centric Ai Systems And Their Societal And Healthcare Integration, Zakaria Benlalia, Ghada Al-Kateb, Mourad Mzili, Konstantina Diamanti

Mesopotamian Journal of Artificial Intelligence in Healthcare

Human-Centric Artificial Intelligence (HCAI) is rapidly emerging as a transformative paradigm, shifting the focus of AI development from mere algorithmic optimization to ethical alignment, user trust, and societal integration most notably within the critical domain of healthcare. This review offers a comprehensive examination of the principles, architecture, challenges, and future directions underpinning HCAI, with an emphasis on its applications in health-related contexts. We begin by exploring the conceptual foundations of human-centricity, including core values such as transparency, fairness, autonomy, and privacy, all of which are essential in sensitive environments like clinical decision-making and patient data management. The paper then surveys …

Heartbeat Sound Classification Using Mel-Spectrogram And Cnn Optimized By Frilled Lizard Algorithm For Cardiovascular Disease Detection, Ahmed T. Alhasani, Zainab H. Albakaa, Shahad A. Alabidi, Osamah Qasim Abd Zaid Gburi, Ammar Kadi, Irina Potoroko

Mesopotamian Journal of Artificial Intelligence in Healthcare

Cardiovascular disease (CVD) continues to be the predominant cause of mortality globally, underscoring the critical necessity for prompt and precise diagnostic techniques.  This paper introduces an innovative machine learning framework for categorizing heartbeat sounds into four classifications—normal, murmur, additional heart sound, and artifact—utilizing audio recordings from the PhysioNet/CinC Challenge 2016 dataset.  The methodology employs Mel-Spectrograms and Mel-Frequency Cepstral Coefficients (MFCCs) for feature extraction, converting raw heart sound data into comprehensive time-frequency representations.  A Convolutional Neural Network (CNN) is utilized for classification, with its hyperparameters refined by the recently developed Frilled Lizard Optimization (FLO) method, a bio-inspired metaheuristic that emulates the …

Arcadia Magazine, 2025-01

Alumni Magazine

No abstract provided.

Exposed! Students’ Personal Reproductive Healthcare Information, Janet Koven Levit

Oklahoma Law Review

No abstract provided.

Trends In Science Outreach Research Through Social Media (2000-2023): A Comprehensive Bibliometric Analysis, María Del Pilar Quezada Castro, Marco Antonio Rodríguez Vega, María Del Pilar Castro Arellano, Guillermo Alexander Quezada Castro

Health Professions Education

Purpose: Scientific dissemination is key to transmitting specialized knowledge to society, using social networks and digital platforms as essential tools. This study aims to conduct a comprehensive bibliometric analysis to identify trends, key themes, and collaboration networks in scientific outreach research.

Methods: A bibliometric analysis of 1577 papers indexed in the Scopus database between 2000 and 2023 was conducted using advanced tools such as Biblioshiny and VOSviewer. The analysis focused on co-authorship patterns, citation networks, and emerging thematic trends.

Results: The findings showed exponential growth in scientific output over the last four years, shaped by the impact of the COVID-19 …

Emotional Intelligence And Artificial Intelligence In Medical Education: A New Paradigm For Holistic Healthcare, Rasha Eldeeb, Eslam Elnebrisi

Health Professions Education

The rapid integration of artificial intelligence (AI) into medical education is revolutionizing the training of healthcare professionals, offering advanced tools for diagnostics, personalized learning, and assessment. However, this technological transformation risks overshadowing essential humanistic aspects of healthcare, such as empathy, communication, and ethical reasoning. Emotional intelligence (EI), defined as the ability to recognize and manage emotions effectively, is crucial for delivering patient-centered, compassionate care. This paper argues for a balanced approach that integrates EI and AI within medical curricula, emphasizing their complementary roles. By harnessing AI's efficiency and data-driven capabilities alongside EI's human-centric skills, future healthcare professionals can achieve technical …

A Mixed-Method Study Of Health Care Workers' Attitudes About Interprofessional Collaboration, Wiwik Kusumawati, Nina D Lestari, Dwi Suhartiningtyas, Ika Setyawati, Salmah Orbayinah

Health Professions Education

Purpose. This study examined health professional graduates' views about interprofessional cooperation in healthcare service delivery and the factors that influence their professional collaboration.

Method. Convergent parallel mixed-methods was used. The quantitative component was a cross-sectional survey of 359 Interprofessional Education and Collaborative Practice (IPECP) graduates (30 general practitioners, 112 nurses, 106 dentists, and 111 pharmacists) who had worked in healthcare for at least one year. Data were obtained using the five-domain Interprofessional Attitudes Scale (IPAS). To analyse quantitative data, descriptive statistics and One-Way ANOVA were utilised. The qualitative component included in-depth interviews with four clinical supervisors from various healthcare institutions …

Active Learning In Respiratory Care Education: A Narrative Review, Tisha Ann Skariah, Udaya Kumar Rao, Manjush Karthika

Health Professions Education

Purpose: This study evaluates the effectiveness of active learning strategies in respiratory care (RC) education, specifically examining their impact on student engagement, critical thinking, and clinical competency to address limitations inherent in traditional passive instructional methods.

Methods: A comprehensive narrative review of peer-reviewed literature was conducted using databases such as PubMed, Web of Science, and Scopus. Thematic analysis was utilized to explore the influence of key active learning methodologies, including simulation-based learning (SBL), flipped classroom (FC), problem-based learning (PBL), and team-based learning (TBL).

Results: The findings demonstrate that active learning approaches significantly enhance clinical decision-making, collaborative skills, and knowledge retention …

Knowledge, Ethics, And Use Of Large Language Models And Artificial Intelligence Among Applied Medical Sciences Students: A Cross-Sectional Study.", Glenn Ford D. Valdez, Fahad Alhowaymel, Abdulaziz F. Abaoud, Ramon Perley M. Pandaan, Abdalrahman Abdallatif Mohammed Saeed

Health Professions Education

Purpose: This study aimed to assess the knowledge, ethical concerns, and utilization of Large Language Models (LLMs) and Artificial Intelligence (AI) tools among students studying applied medical sciences in Riyadh, Saudi Arabia. It also explored the potential of AI technologies to enhance education and healthcare. Methods: This investigation adopted a cross-sectional approach, employing a reliable and validated structured tool: the Large Language Model and Artificial Intelligence Enabling and Self-Regulation 32 Questionnaire (LLMAI-ESR 32). The sample comprised 375 undergraduate students in applied medical sciences, from levels 3 to 8, undertaking applied medical sciences education. Data analysis was performed using SPSS version …

Quasi-Experimental Study Examining Student Attitudes Toward Interprofessional Healthcare Teams And Experiences With Social Determinants Of Health Through A Virtual Poverty Simulation, Suzanne Greenwalt, Renee Brown, Lindsay Hahn, Missy Bryan, Tamara Lemmonds, David Phillippi

Health Professions Education

Purpose: Highly functioning interprofessional teams are essential for optimal patient care. Interprofessional teams consist of healthcare workers from various disciplines working together to meet the unique needs of each patient, family, and caregiver with the highest level of care possible. Healthcare programs must train students to work and communicate effectively within such teams. The purpose of this study was to determine the impact of an interprofessional virtual poverty simulation on students’ attitudes toward interprofessional healthcare teams and experiences with social determinants of health.

Methods: Students from seven health professions participated in a virtual case event. Students worked in interprofessional teams …

Lifestyle Predictors Of Obstructive Sleep Apnea Risk Among Medical Students In Urban Tamil Nadu: A Cross-Sectional Study, Dharani Bhaskaran, Suba Angappan, Chitra Mourali

Health Professions Education

Purpose: Obstructive Sleep Apnea (OSA) is a prevalent but underdiagnosed sleep disorder especially among undergraduate medical students. This study aimed to assess the lifestyle habits among undergraduate medical students and their association with risk of OSA in urban part of Tamil Nadu.

Method: A cross-sectional study was conducted among 315 undergraduate medical students aged 18-25 years. Data collection was done by using STOP-BANG Questionnaire for OSA risk assessment and a google form-based proforma to evaluate lifestyle habits. Statistical analysis, including the Mann-Whitney U test and Chi-square test, were used to evaluate associations between lifestyle factors and OSA risk.

Results:

The …