Medicine and Health Sciences Commons^™

A Study Of Verbal Rumination, Relationships, Stress And Identity On Health Communication In Collegiate Athletics, Landon Mary Ellen Kemp

Dissertations and Theses

College athletes are a unique group of individuals as they face many positive and negative challenges when competing in a collegiate sport. Verbal rumination is repetitive talk about a particular issue, accompanied by adverse effects for an individual. Verbal rumination is a common strategy athletes use to cope with difficulties along with managing challenging situations in their athletic program. To explore factors that might inspire or impede verbal rumination in collegiate athletics, the present study examines the quality of coach and teammate relationships, perceived stress and athlete identity. Results revealed the impact of relationships between coaches and athletes in respect …

Effect Of Relaxation Intervention On Stress Levels And Cognitive Skills In Professional Students, Sandhra Sabu, Ravikiran Kisan, . Swapnali

Digital Journal of Clinical Medicine

Background: Medical Professional training is likely to encounter a variety of hassles and stress in relation to the developmental tasks associated with transition from school life to professional college life. The vast syllabus, peer competition for academic performance, continuous evaluation, and long duration of the training makes medical education stressful. Many students feel a need to relieve stress and it is a necessity to equip students with proven techniques to reduce stress and cope up with the situation. Proper cognitive functioning has been found to be an important factor for academic performance.

Methods: The present study is a cross …

Ultrasensitive Tapered Optical Fiber Refractive Index, Erem Ujah, Meimei Lai, Gymama Slaughter

Electrical & Computer Engineering Faculty Publications

Refractive index (RI) sensors are of great interest for label-free optical biosensing. A tapered optical fiber (TOF) RI sensor with micron-sized waist diameters can dramatically enhance sensor sensitivity by reducing the mode volume over a long distance. Here, a simple and fast method is used to fabricate highly sensitive refractive index sensors based on localized surface plasmon resonance (LSPR). Two TOFs (l = 5 mm) with waist diameters of 5 µm and 12 µm demonstrated sensitivity enhancement at λ = 1559 nm for glucose sensing (5-45 wt%) at room temperature. The optical power transmission decreased with increasing glucose concentration due …

Toward Real-Time, Robust Wearable Sensor Fall Detection Using Deep Learning Methods: A Feasibility Study, Haben Yhdego, Christopher Paolini, Michel Audette

Electrical & Computer Engineering Faculty Publications

Real-time fall detection using a wearable sensor remains a challenging problem due to high gait variability. Furthermore, finding the type of sensor to use and the optimal location of the sensors are also essential factors for real-time fall-detection systems. This work presents real-time fall-detection methods using deep learning models. Early detection of falls, followed by pneumatic protection, is one of the most effective means of ensuring the safety of the elderly. First, we developed and compared different data-segmentation techniques for sliding windows. Next, we implemented various techniques to balance the datasets because collecting fall datasets in the real-time setting has …

Adaptive Critic Network For Person Tracking Using 3d Skeleton Data, Joseph G. Zalameda, Alex Glandon, Khan M. Iftekharuddin, Mohammad S. Alam (Ed.), Vijayan K. Asari (Ed.)

Electrical & Computer Engineering Faculty Publications

Analysis of human gait using 3-dimensional co-occurrence skeleton joints extracted from Lidar sensor data has been shown a viable method for predicting person identity. The co-occurrence based networks rely on the spatial changes between frames of each joint in the skeleton data sequence. Normally, this data is obtained using a Lidar skeleton extraction method to estimate these co-occurrence features from raw Lidar frames, which can be prone to incorrect joint estimations when part of the body is occluded. These datasets can also be time consuming and expensive to collect and typically offer a small number of samples for training and …

Ultra-Low Intensity Post-Pulse Affects Cellular Responses Caused By Nanosecond Pulsed Electric Fields, Kamal Asadipour, Carol Zhou, Vincent Yi, Stephen J. Beebe, Shu Xiao

Electrical & Computer Engineering Faculty Publications

High-intensity nanosecond pulse electric fields (nsPEF) can preferentially induce various effects, most notably regulated cell death and tumor elimination. These effects have almost exclusively been shown to be associated with nsPEF waveforms defined by pulse duration, rise time, amplitude (electric field), and pulse number. Other factors, such as low-intensity post-pulse waveform, have been completely overlooked. In this study, we show that post-pulse waveforms can alter the cell responses produced by the primary pulse waveform and can even elicit unique cellular responses, despite the primary pulse waveform being nearly identical. We employed two commonly used pulse generator designs, namely the Blumlein …

Prediction Of Rapid Early Progression And Survival Risk With Pre-Radiation Mri In Who Grade 4 Glioma Patients, Walia Farzana, Mustafa M. Basree, Norou Diawara, Zeina Shboul, Sagel Dubey, Marie M. Lockheart, Mohamed Hamza, Joshua D. Palmer, Khan Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Rapid early progression (REP) has been defined as increased nodular enhancement at the border of the resection cavity, the appearance of new lesions outside the resection cavity, or increased enhancement of the residual disease after surgery and before radiation. Patients with REP have worse survival compared to patients without REP (non-REP). Therefore, a reliable method for differentiating REP from non-REP is hypothesized to assist in personlized treatment planning. A potential approach is to use the radiomics and fractal texture features extracted from brain tumors to characterize morphological and physiological properties. We propose a random sampling-based ensemble classification model. The proposed …

Comparison Of Machine Learning Methods For Classification Of Alexithymia In Individuals With And Without Autism From Eye-Tracking Data, Furkan Iigin, Megan A. Witherow, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Alexithymia describes a psychological state where individuals struggle with feeling and expressing their emotions. Individuals with alexithymia may also have a more difficult time understanding the emotions of others and may express atypical attention to the eyes when recognizing emotions. This is known to affect individuals with Autism Spectrum Disorder (ASD) differently than neurotypical (NT) individuals. Using a public data set of eye-tracking data from seventy individuals with and without autism who have been assessed for alexithymia, we train multiple traditional machine learning models for alexithymia classification including support vector machines, logistic regression, decision trees, random forest, and multilayer perceptron. …

Virtual Surgical Planning In Craniomaxillofacial Surgery: A Structured Review, Kaye Verlarde, Rentor Cafino, Armando Isla Jr., Karen Mae Ty, Xavier-Lewis Palmer, Lucas Potter, Larry Nadorra, Luchin Valrian Pueblos, Lemuel Clark Velasco

Electrical & Computer Engineering Faculty Publications

Craniomaxillofacial (CMF) surgery is a challenging and very demanding field that involves the treatment of congenital and acquired conditions of the face and head. Due to the complexity of the head and facial region, various tools and techniques were developed and utilized to aid surgical procedures and optimize results. Virtual Surgical Planning (VSP) has revolutionized the way craniomaxillofacial surgeries are planned and executed. It uses 3D imaging computer software to visualize and simulate a surgical procedure. Numerous studies were published on the usage of VSP in craniomaxillofacial surgery. However, the researchers found inconsistency in the previous literature which prompted the …

Technology Adoption Of Computer-Aided Instruction In Healthcare: A Structured Review, Queenie Kate Cabanilla, Frevy Teofilo-Orencia, Rentor Cafino, Armando T. Isla Jr., Jehan Grace Maglaya, Xavier-Lewis Palmer, Lucas Potter, Dave E. Marcial, Lemuel Clark Velasco

Electrical & Computer Engineering Faculty Publications

Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners' knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of …

An Explainable Artificial Intelligence Framework For The Predictive Analysis Of Hypo And Hyper Thyroidism Using Machine Learning Algorithms, Md. Bipul Hossain, Anika Shama, Apurba Adhikary, Avi Deb Raha, K. M. Aslam Uddin, Mohammad Amzad Hossain, Imtia Islam, Saydul Akbar Murad, Md. Shirajum Munir, Anupam Kumur Bairagi

Electrical & Computer Engineering Faculty Publications

The thyroid gland is the crucial organ in the human body, secreting two hormones that help to regulate the human body's metabolism. Thyroid disease is a severe medical complaint that could be developed by high Thyroid Stimulating Hormone (TSH) levels or an infection in the thyroid tissues. Hypothyroidism and hyperthyroidism are two critical conditions caused by insufficient thyroid hormone production and excessive thyroid hormone production, respectively. Machine learning models can be used to precisely process the data generated from different medical sectors and to build a model to predict several diseases. In this paper, we use different machine-learning algorithms to …

Editorial: Response To Societal And Environmental Trauma: Supporting Stakeholders Through Health Education, Kimberly B. Garza, Lindsey E. Moseley, Channing R. Ford, Kristen L. Helms

Research, Publications & Creative Work

Within the current political, environmental, and societal landscape, a great number of events in recent years have put a strain on mental health and led to trauma among health professionals, health educators, students, and the patients and communities they serve. This Research Topic, “Response to societal and environmental trauma: Supporting stakeholders through health education,” focuses on strategies and best practices for preparing current and future healthcare providers, public health educators and advocates, and members of the community to face the challenges associated with societal and environmental trauma. It presents five diverse articles that span a wide spectrum, from effects of …

Effect Of Selenof Loss In Combination With A Western Diet On Tumorigenesis, Brenna Joy Flowers

Master's Theses

SELENOF is an understudied selenium-containing protein that has previously been postulated to behave as a tumor suppressor in the breast. Examination of patient databases showed that SELENOF levels were lowest in tumors from patients with aggressive late-stage breast cancers. Whether loss of SELENOF drives breast tumorigenesis remains to be determined. To address this question, we used juvenile female wild type or systemic Selenof knockout mice and exposed them to 7,12-Dimethylbenz[a]anthracene (DMBA), a carcinogen that replicates the multistep process of breast tumorigenesis. Previous reports have shown that loss of Selenof led to glucose and metabolic dysregulation in mice suggesting a link …

Investigating The Viral Nature Of Neuronal Capsid Genes, Michael Manuel Long

Master's Theses

Memory formation is an essential part of everyday life. Neuronal communication is thought to be a key driver behind memory formation. There are two heavily studied methods of neuronal communication: chemical (neurotransmitter-mediated) and electrical (physically attached). When issues arise environmentally or genetically, people can experience one of many devastating memory disorders i.e. Alzheimer’s disease and other Dementias. Due to their prevalence, the treatments for disorders that hinder memory formation are a high priority for pharmaceutical companies. Currently, many of the treatments available focus on neurotransmitters or neuronal activity, and scientists are far from a cure. However, there may be an …

Exploring Correlates Of Student Preferences For Virtual Or In-Class Learning Among Neurodiverse Adolescents Using A Single-Case Design Methodology, Taryn A. Myers, John D. Ball, Mindy Gumpert, Mary Roberts

Human Movement Studies & Special Education Faculty Publications

The purpose of the current study is to explore several correlates of adolescent students’ preferences for at-home virtual or in-class in-person learning in a single case of a school that serves students with learning differences. Correlates of interest were the Big Five personality traits (Openness to Experience, Conscientiousness, Extroversion, Agreeableness, Neuroticism) and the students’ self-reported learning engagement. Participants were recruited from a single independent school for students with neurodiversity and special learning needs, where they had high exposure to computer-/internet-assisted learning. Twenty-seven students responded to questionnaires measuring preferred learning modes, personality traits, and learning engagement. Despite teacher reports …

Let's Count The Ways We Can Utilize Technology To Improve Instructional Practices For Individuals With Autism, Heather Coleman, Annemarie L. Horn, Selena J. Layden, Christian Coogle

Human Movement Studies & Special Education Faculty Publications

To maximize instruction and learning outcomes, it is essential that educators and family members who support individuals with autism have adequate training and support required to implement evidence-based practices (EBPs) with fidelity. Research shows various coaching methods, including self-coaching and classroom-based feedback, yield positive outcomes in terms of increasing practical application and sustained use of EBPs. With the growing prevalence of autism, it is essential to find effective coaching methods that can be utilized equitably across geographic locations and learning environments. Fortunately, technology affords educators and others the opportunity to receive quality coaching and feedback without facing traditional barriers (e.g., …

The Effect Of Training Program On Autism Spectrum Quotient Scores, Hossein Nazary Sharif, Sarvin Salar, Justin Anthony Haegele

Human Movement Studies & Special Education Faculty Publications

Background: Autism Spectrum Quotient (AQ) functions as an evaluative instrument designed to assess traits associated with autism. Variances exist within the brain of individuals on the autism spectrum. Moreover, certain exercises have the potential to impact specific regions of the brain.

Aim: This study aims to investigate how the program training of this study impact Autism—Spectrum Quotient.

Materials and Methods: Forty-two children aged 7-10 years with ASD were recruited to participate in this study. These children were randomly divided into two groups: the control group (N=10, 7.80±1.35 years) and the experimental group (N=32, age: 8.16±1.16 years). The experimental group underwent …

From Shops To Bins: A Case Study Of Consumer Attitudes And Behaviours Towards Plastics In A Uk Coastal City, Stephanie Lucy Northen, Laura Karoliina Nieminen, Serena Cunsolo, Steven Kator Iorfa, Keiron Philip Roberts, Stephen Fletcher

Faculty, Staff and Student Publications

Understanding the use behaviours of plastic items within households is important to enable informed policy development, particularly with the emerging and developing global plastic treaty. A survey of 400 permanent residents in Portsmouth aimed to identify the general trends in single-use plastic product (SUPP) use and disposal, and their personal motivations and barriers to reducing and recycling plastic. This included identifying common influencers of attitudes such as environmental values, situational characteristics, psychological factors and the individual demographic characteristics of residents. Key factors in consumer behaviour were found to be product availability, affordability and convenience. Often, less conveniently recycled plastics more …

Cannabis Use Disorder, Suicide Attempts, And Self-Harm Among Adolescents: A National Inpatient Study Across The United States, Adeolu Funso Oladunjoye, Elijah Li, Kammarauche Aneni, Edore Onigu-Otite

Faculty, Staff and Students Publications

Background: Suicide is among the top three causes of adolescent mortality. There is a scarcity of research examining cannabis use and suicidal behavior in adolescents.

Objectives: To determine the association between cannabis use disorder (CUD) and suicide attempt/self-harm in a hospitalized sample of adolescents.

Methods: We conducted a cross-sectional observation study using data from the Nationwide Inpatient Sample collected over four years from January 1, 2016, through December 31, 2019. We included adolescents aged 10-19 hospitalized during the above period (N = 807,105). The primary outcome was suicide attempt/self-harm and the main predictor was CUD. The International Classification of Diseases …

Tp53-Pten-Nf1 Depletion In Human Brain Organoids Produces A Glioma Phenotype In Vitro, Sanjay K Singh, Yan Wang, Ahmed Habib, Mamindla Priyadarshini, Chowdari V Kodavali, Apeng Chen, Wencai Ma, Jing Wang, N U Farrukh Hameed, Baoli Hu, Gregory N Fuller, Scott M Kulich, Nduka Amankulor, Rivka R Colen, Lincoln A Edwards, Pascal O Zinn

Faculty, Staff and Student Publications

Glioblastoma (GBM) is fatal and the study of therapeutic resistance, disease progression, and drug discovery in GBM or glioma stem cells is often hindered by limited resources. This limitation slows down progress in both drug discovery and patient survival. Here we present a genetically engineered human cerebral organoid model with a cancer-like phenotype that could provide a basis for GBM-like models. Specifically, we engineered a doxycycline-inducible vector encoding shRNAs enabling depletion of the TP53, PTEN, and NF1 tumor suppressors in human cerebral organoids. Designated as inducible short hairpin-TP53-PTEN-NF1 (ish-TPN), doxycycline treatment resulted in human cancer-like cerebral organoids that effaced the …

Minimax Estimation For Personalized Federated Learning: An Alternative Between Fedavg And Local Training?, Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J Su

Faculty, Staff and Student Publications

A widely recognized difficulty in federated learning arises from the statistical heterogeneity among clients: local datasets often originate from distinct yet not entirely unrelated probability distributions, and personalization is, therefore, necessary to achieve optimal results from each individual's perspective. In this paper, we show how the excess risks of personalized federated learning using a smooth, strongly convex loss depend on data heterogeneity from a minimax point of view, with a focus on the FedAvg algorithm (McMahan et al., 2017) and pure local training (i.e., clients solve empirical risk minimization problems on their local datasets without any communication). Our main result …

Association Of Cyclooxygenase-2 Expression With Endoplasmic Reticulum Stress And Autophagy In Triple-Negative Breast Cancer, Haechan Lee, Sungwook Jung, Gyungyub Gong, Bora Lim, Hee Jin Lee

Faculty, Staff and Student Publications

Cyclooxygenase-2 plays a role in oncogenesis and its overexpression is associated with triple-negative breast cancer. However, the mechanisms whereby cyclooxygenase-2 contribute to breast cancer are complex and not well understood. Cyclooxygenase-2 overexpression causes hypoxia, oxidative stress, and endoplasmic reticulum stress. The aim of this study is to investigate the correlations among cyclooxygenase-2 expression, endoplasmic reticulum stress-associated molecules, and autophagy-associated molecules in triple-negative breast cancer. Surgical specimens from two cohorts of triple-negative breast cancer patients without neoadjuvant systemic therapy were analyzed: cohorts 1 and 2 consisted of 218 cases from 2004 to 2006 and 221 cases from 2007 to 2009, respectively. …

Improved Outcomes With “7+3” Induction Chemotherapy For Acute Myeloid Leukemia Over The Past Four Decades: Analysis Of Swog Trial Data, Megan Othus, Guillermo Garcia-Manero, John E Godwin, James K Weick, Frederick R Appelbaum, Harry P Erba, Elihu H Estey

Faculty, Staff and Student Publications

We have previously shown that complete response (CR) rates and overall survival of patients with acute myeloid leukemia have improved since the 1980s. However, we have not previously evaluated how the length of first CR (CR1) has changed over this time period. To address this, we analyzed 1,247 patients aged 65 or younger randomized to "7+3" arms from five SWOG studies: S8600 (n=530), S9031 (n=98), S9333 (n=57), S0106 (n=301), and S1203 (n=261). We evaluated length of CR1 and survival after relapse from CR1 over the four decades that these studies represent. Both length of CR1 and survival after relapse from …

Flecainide For Conversion And Maintenance Of Sinus Rhythm After Mitral Valve Replacement In Rheumatic Atrial Fibrillation, Umesh Tripathi, Aditya Kapoor, Surendra Kumar Agarwal, Prabhat Tewari, Shantanu Pande, Bipin Chandra, Ankit Sahu, Roopali Khanna, Sudeep Kumar, Naveen Garg, Satyendra Tewari

Faculty, Staff and Student Publications

BACKGROUND: Despite successful mitral valve replacement (MVR), many patients remain in AF. Flecainide can be useful in these patients but has not been used because of underlying structural heart disease.

METHODS: We assessed oral flecainide for conversion and maintenance of SR in 25 patients of chronic rheumatic AF following MVR (age 34.4 yrs, mean AF duration: 3.6 yrs). Non-converters underwent DC cardioversion at 24 h and 4 weeks. Patients received flecainide and bb/diltiazem at discharge.

RESULTS: Single oral dose of Flecainide achieved SR in 6/25 (24%) while 19/25 achieved SR after DCC; at24 h 21/25 (84%) were in SR. With …

Circadian Rhythms Of Risk Factors And Management In Atherosclerotic And Hypertensive Vascular Disease: Modern Chronobiological Perspectives Of An Ancient Disease, Yong-Jian Geng, Michael H Smolensky, Oliver Sum-Ping, Ramon Hermida, Richard J Castriotta

Faculty, Staff and Student Publications

Atherosclerosis, a chronic inflammatory disease of the arteries that appears to have been as prevalent in ancient as in modern civilizations, is predisposing to life-threatening and life-ending cardiac and vascular complications, such as myocardial and cerebral infarctions. The pathogenesis of atherosclerosis involves intima plaque buildup caused by vascular endothelial dysfunction, cholesterol deposition, smooth muscle proliferation, inflammatory cell infiltration and connective tissue accumulation. Hypertension is an independent and controllable risk factor for atherosclerotic cardiovascular disease (CVD). Conversely, atherosclerosis hardens the arterial wall and raises arterial blood pressure. Many CVD patients experience both atherosclerosis and hypertension and are prescribed medications to concurrently …

Financial Toxicity In Cancer Patients And Subsequent Risk Of Repeat Acute Care Utilization, Julia J Shi, J Alberto Maldonado, Chi-Fang Wu, Susan K Peterson, Ying-Shiuan Chen, Kevin Diao, Robert J Volk, Sharon H Giordano, Ya-Chen T Shih, Kelsey Kaiser, Grace L Smith

Faculty, Staff and Student Publications

BACKGROUND: Acute care (AC) visits by cancer patients are costly sources of healthcare resources and can exert a financial burden of oncology care both for individuals with cancer and healthcare systems. We sought to identify whether cancer patients who reported more severe initial financial toxicity (FT) burdens shouldered excess risks for acute care utilization.

METHODS: In 225 adult patients who participated in the Economic Strain and Resilience in Cancer (ENRICh) survey study of individuals receiving ambulatory cancer care between March and September 2019, we measured the baseline FT (a multidimensional score of 0-10 indicating the least to most severe global, …

Fostering A High-Functioning Team In Cancer Care Using The 4r Oncology Model: Assessment In A Large Health System And A Blueprint For Other Institutions, Raymond Liu, Christine B Weldon, Elizabeth Linehan, Nancy Gordon, Thea Abbe, Marti Hennings, Henie James, Jed Katzel, Chun Ng, Megumi Tomita, Jeffrey B Velotta, Stephanie Ossowski, Lori C Sakoda, Sharon Likely Sprague, Anna Dowling, Kimberly Beringer, Arliene Ravelo, Elaine Yu, Julia R Trosman

Faculty, Staff and Student Publications

PURPOSE: Delivering cancer care by high-functioning multidisciplinary teams promises to address care fragmentation, which threatens care quality, affects patient outcomes, and strains the oncology workforce. We assessed whether the 4R Oncology model for team-based interdependent care delivery and patient self-management affected team functioning in a large community-based health system.

METHODS: 4R was deployed at four locations in breast and lung cancers and assessed along four characteristics of high-functioning teams: recognition as a team internally and externally; commitment to an explicit shared goal; enablement of interdependent work to achieve the goal; and engagement in regular reflection to adapt objectives and processes. …

Cardiovascular Disease Risk Factors Among Middle-Aged And Older Adult Vietnamese American Members Of A Northern California Health Plan, Donna B Haysbert, Joan C Lo, Nirmala D Ramalingam, Nancy P Gordon

Faculty, Staff and Student Publications

OBJECTIVE: There is increasing recognition that cardiovascular disease (CVD) risk factors vary by Asian subgroups. We examined CVD risk factor prevalence among Vietnamese adults in a northern California health plan.

METHODS: We used electronic health record data to examine smoking, overweight/obesity (body mass index ≥23.0 kg/m

RESULTS: Current smoking prevalence was 20.3% for middle-aged men, 7.0% for older men, and

CONCLUSIONS: Study results suggest that more research on health conditions, lifestyle, and social factors among Vietnamese American adults is needed to develop culturally competent interventions to reduce CVD risk in this growing ethnic group.

Implementing Stroke Care In A Lower-Middle-Income Country: Results And Recommendations Based On An Implementation Study Within The Nepal Stroke Project, Christine Tunkl, Raju Paudel, Sunanjay Bajaj, Lekhjung Thapa, Patrick Tunkl, Avinash Chandra, Bhupendra Shah, Balgopal Karmacharya, Ashim Subedi, Pankaj Jalan, Pradesh Ghimire, Mahesh Raj Ghimire, Gampo Dorje, Nima Haji Begli, Jessica Golenia, Bikram Prasad Gajurel, Shirsho Shreyan, Nooma Sharma, Alexandra Krauss, Jeyaraj Pandian, Thomas Fischer, Jan Van Der Merwe, Wolfgang Wick, Werner Hacke, Christoph Gumbinger

Faculty, Staff and Student Publications

Background: Globally, the majority of strokes affect people residing in lower- and lower-middle-income countries (LMICs), but translating evidence-based knowledge into clinical practice in regions with limited healthcare resources remains challenging. As an LMIC in South Asia, stroke care has remained a healthcare problem previously unaddressed at a national scale in Nepal. The Nepal Stroke Project (NSP) aims to improve acute stroke care in the tertiary healthcare sector of Nepal. We hereby describe the methods applied and analyze the barriers and facilitators of the NSP after 18 months.

Methods: The NSP follows a four-tier strategy: (1) quality improvement by training healthcare …

Cancer Care For People With Dementia: Literature Overview And Recommendations For Practice And Research, Laura Ashley, Claire Surr, Rachael Kelley, Mollie Price, Alys Wyn Griffiths, Nicole R Fowler, Dana E Giza, Richard D Neal, Charlene Martin, Jane B Hopkinson, Anita O'Donovan, William Dale, Bogda Koczwara, Katie Spencer, Lynda Wyld

Faculty, Staff and Student Publications

As many countries experience population aging, patients with cancer are becoming older and have more preexisting comorbidities, which include prevalent, age-related, chronic conditions such as dementia. People living with dementia (PLWD) are vulnerable to health disparities, and dementia has high potential to complicate and adversely affect care and outcomes across the cancer trajectory. This report offers an overview of dementia and its prevalence among patients with cancer and a summary of the research literature examining cancer care for PLWD. The reviewed research indicates that PLWD are more likely to have cancer diagnosed at an advanced stage, receive no or less …