Digital Commons Network^™

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 …

Sample Ascertainment And Recruitment Sources In The Accelerating Medicines Partnership Schizophrenia Program, Jean Addington, Daniel Mamah, Et Al.

2020-Current year OA Pubs

BACKGROUND: This paper presents the recruitment sources of clinical high-risk (CHR) and community controls (CC) from the Accelerating Medicines Partnership Schizophrenia (AMP SCZ) program, which aims to study various clinical variables and biomarkers in 2040 CHR and 652 CC participants.

METHODS: A total of 1640 CHR and 514 CC had recruitment source data. The Positive Symptoms and Diagnostic Criteria for the Comprehensive Assessment of At-Risk Mental States Harmonized with the SIPS was utilized to assess CHR criteria and severity of attenuated psychotic symptoms (APSs), and the Global Functioning: Social Scale was used for social functioning. Participants were recruited through various …

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 …

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 …

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 …

Caregiver And Provider Perspectives On Developmental Services For Children With Sickle Cell Disease: A Mixed Methods Analysis, Mollie Tamboli, Erin Macarthur, Natalie Collins, Eunyoung Kang, Maria Fernandez, Jerlym S Porter, Heather M Conklin, Allison A King, Jane S Hankins, Andrew M Heitzer

2020-Current year OA Pubs

INTRODUCTION: Sickle cell disease (SCD) is a monogenic blood disorder characterized by neurodevelopmental delays. Most children with SCD do not receive developmental services due in part to disparities in care access. To inform the design of a developmental intervention for children with SCD, we evaluated factors that influence access to developmental services.

METHODS: Interview data were collected from educational and medical providers (

RESULTS: We identified three themes as factors that influence caregivers' access to developmental services: quality of medical and educational experiences, caregiver knowledge and beliefs about SCD and development, and caregiver preferences for developmental services. Most caregivers denied …

Adapting A Sexual And Reproductive Health Program For Latina Teens And Their Female Caregivers: A Qualitative Study, Katherine G Merrill, Ana A Baumann, Et Al.

2020-Current year OA Pubs

BACKGROUND: Adaptation is widely recognized as important when interventions are to be delivered in new settings or with new populations. However, there are gaps in the literature on how adaptations are carried out and documented. IMARA is a 12-h evidence-based sexual health intervention for Black teens and their mothers, designed for delivery over two days. We present our systematic process of adapting IMARA for Latinas to produce the

METHODS: Using a community-based participatory research (CBPR) approach, we carried out a qualitative study that included 7 focus groups: 4 with staff from community partner organizations (

RESULTS: Informed by the data, …

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 …

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 …

Social Anxiety, Negative Affect, And Hearing Difficulties In Adults, Katrina Kate S. Mcclannahan, Sarah Mcconkey, Julia M Levitan, Thomas L Rodebaugh, Jonathan E Peelle

2020-Current year OA Pubs

Subjective ratings of communication function reflect both auditory sensitivity and the situational, social, and emotional consequences of communication difficulties. Listeners interact with people and their environment differently, have various ways of handling stressful situations, and have diverse communication needs. Therefore, understanding the relationship between auditory and mental health factors is crucial for the holistic diagnosis and treatment of communication difficulty, particularly as mental health and communication function may have bidirectional effects. The goal of this study was to evaluate the degree to which social anxiety and negative affect (encompassing generalized anxiety, depression, and anger) contributed to subjective communication function (hearing …

Artificial Intelligence In Science And Society: The Vision Of Usern, Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerda, Joseph Ciarrochi, Mauro Da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah

All Peer-Reviewed Publications

The recent rise in relevance and diffusion of Artificial Intelligence (AI)-based systems and the increasing number and power of applications of AI methods invites a profound reflection on the impact of these innovative systems on scientific research and society at large. The Universal Scientific Education and Research Network (USERN), an organization that promotes initiatives to support interdisciplinary science and education across borders and actively works to improve science policy, collects here the vision of its Advisory Board members, together with a selection of AI experts, to summarize how we see developments in this exciting technology impacting science and society in …

Academic Procrastination And Health Behaviors Among University Students, Shelley D. Sadler

Doctor of Nursing Practice Projects

Abstract

Sixty-eight percent of college and university students have indicated that procrastination is their greatest challenge to academic accomplishment. Academic procrastination has been associated with suboptimal health behaviors such as lack of sleep and poor diet due to increased stress and anxiety levels from this academic procrastination. The purpose of this Doctor of Nursing Practice Quality Improvement Project was to provide evidence-based online modules to help university students lessen academic procrastination while increasing healthy behaviors. Participants included students in their first through fourth semesters at a regional mid-South university. The Academic Procrastination Scale (APS) and the Wellness Behavior Inventory (WBI) …

Cultural Competence Training: A Pilot Project For Improving Culturally Competent Care, Praveena Berlin

Doctor of Nursing Practice Projects

Studies have shown that when healthcare providers lack cultural competence, there is a subsequent negative impact on the quality, safety, and cost of patient care. The purpose of this project was to develop an evidence-based cultural competence intervention that includes provider and staff training, development of several toolkits for staff, providers, and African American patients, in order to increase patient satisfaction rates among African American patients. The project was an exploratory quantitative study that used a pre-post-survey design and was implemented in a Mental Health Clinic. Two validated survey tools were utilized, the CCA and CCSS-29. The study results showed …

Non-Invasive Glucose Monitoring Using Ppg, Ai, And Iot-Driven Mobile Integration For Real-Time Diabetes Management, Mostafa Abdelaziz, Amr Refaie

Mechanical Engineering

Diabetes mellitus patients must regularly monitor their blood glucose levels to manage glycaemia, typically requiring capillary tests at least three times daily and laboratory tests one to two times per month. These conventional methods involve finger pricking, causing significant discomfort and stress. This study introduces an innovative non-invasive glucose monitoring approach by integrating photoplethysmography (PPG) technology with an artificial intelligence (AI) algorithm, complemented by a mobile application using Flutter, IoT systems, and Firebase cloud for real-time data access. Among the AI models tested, polynomial regression demonstrated superior accuracy in glucose prediction, achieving a Mean Squared Error (MSE) of 14.76 and …