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Articles 571 - 600 of 7876
Full-Text Articles in Entire DC Network
Burnout Assessment Tool Development And Validation For Healthcare Workers: A Psychometric Approach Using Rasch Modelling And Exploratory Factor Analysis, Rosnah Ismail, Suriya Kumareswaran Vallasamy
Burnout Assessment Tool Development And Validation For Healthcare Workers: A Psychometric Approach Using Rasch Modelling And Exploratory Factor Analysis, Rosnah Ismail, Suriya Kumareswaran Vallasamy
Kesmas
Burnout remains a significant occupational threat to healthcare workers (HCWs). Existing instruments, e.g., the Maslach Burnout Inventory, have limited applicability in healthcare-specific contexts. This study aimed to develop and validate the Burnout Scale for Assessing Stress in Healthcare Workers (BSAS-HCW), designed to measure cognitive and emotional exhaustion. A cross-sectional survey was conducted among 245 Malaysian HCWs representing diverse roles, including staff nurses (57.7%), house officers (14.3%), medical officers (13.5%), specialists (5.7%), pharmacists (4.5%), and other HCWs. Exploratory factor analysis revealed a two-factor structure with strong internal consistency (Cronbach's alpha: cognitive = 0.95; emotional = 0.97), and all items loaded above …
Transdisciplinary Perspectives On Ai: The Fourth Annual Conference Of The European Culture And Technology Laboratory, Connell Vaughan, Ioana Madalina Moldovan, Silivan Moldovan, Noel Fitzpatrick
Transdisciplinary Perspectives On Ai: The Fourth Annual Conference Of The European Culture And Technology Laboratory, Connell Vaughan, Ioana Madalina Moldovan, Silivan Moldovan, Noel Fitzpatrick
Books/Book Chapters
The fourth annual conference of the ECT Lab+ was hosted by Technical University of Cluj-Napoca over two days in October 2024 at the Cluj Innovation Park. The conference brought together experts from the Arts, Humanities, Social Sciences, Technology, and other fields to discuss and reflect on the advent of Artificial Intelligence and how the associated technologies are transforming how we live, work and study. Under the title Transdisciplinary perspectives on AI: Alternative Histories, Current Practices and Possible Futures the conference moved beyond simplistic technophila and technophobia to consider whether we can co-evolve with these new technologies which combine machine learning …
Exploring Future Educators’ Roles In Classroom Aac Use: Insight Into Knowledge, Skills, And Attitudes, Katrina M. King
Exploring Future Educators’ Roles In Classroom Aac Use: Insight Into Knowledge, Skills, And Attitudes, Katrina M. King
Honors College Theses
The United States public school system requires the provision of a free and appropriate public education (FAPE) in the least restrictive environment (LRE) for qualifying students with disabilities (U.S. Department of Education, n.d.). Speech, language, and hearing related disabilities are among the qualifying categories (U.S. Department of Education, n.d.). Students with these disabilities may have complex communication needs (CCN), or significant limitations in their speech, language, and communication abilities (Communication Rights Australia, 2018). Augmentative and alternative communication (AAC), a type of assistive technology, offers support for these students, however, several barriers inhibit full communicative participation (American Speech-Language-Hearing Association [ASHA], n.d.-a). …
Turning Patients' Open-Ended Narratives Of Chronic Pain Into Quantitative Measures: Natural Language Processing Study, Raquel Norel, Jennifer Gewandter, Zhengwu Zhang, Anika Tahsin, Chadi G Abdallah, John Markman, Zhiyao Duan, Guillermo Cecchi, Paul Geha
Turning Patients' Open-Ended Narratives Of Chronic Pain Into Quantitative Measures: Natural Language Processing Study, Raquel Norel, Jennifer Gewandter, Zhengwu Zhang, Anika Tahsin, Chadi G Abdallah, John Markman, Zhiyao Duan, Guillermo Cecchi, Paul Geha
Faculty, Staff and Students Publications
Background: Subjective report of pain remains the gold standard for assessing symptoms in patients with chronic pain and their response to analgesics. This subjectivity underscores the importance of understanding patients' personal narratives, as they offer an accurate representation of the illness experience.
Objective: In this pilot study involving 20 patients with chronic low back pain (CLBP), we applied emerging tools from natural language processing (NLP) to derive quantitative measures that captured patients' pain narratives.
Methods: Patients' narratives were collected during recorded semistructured interviews in which they spoke about their lives in general and their experiences with CLBP. Given that NLP …
Analyzing The Global Happiness Index, Victoria Hernandez, Christy W. Wachira
Analyzing The Global Happiness Index, Victoria Hernandez, Christy W. Wachira
SMU Data Science Review
This study explores the Global Happiness Index using data compiled from the OECD and Our World in Data to identify key factors contributing to societal well-being. Six primary predictors were analyzed: GDP per capita, social support, healthy life expectancy, freedom to make life choices, generosity, and perceptions of corruption. Regression and clustering techniques were employed to uncover patterns among countries. By expanding the analytical scope beyond conventional economic and social indicators, this study helps identify new pathways for improving well-being across diverse cultural and economic landscapes. Additional variables such as perceived safety, political engagement, and values related to family and …
Understanding The U.S. Maternal Healthcare System At The Intersection Of Asian American Birth Outcomes And The Model Minority Stereotype: A Literature Review, Sophia Hevel
University Honors Theses
This thesis aims to explore the maternal healthcare system in the United States as it pertains to Asian American birthing people, the ways in which their racial, ethnic, and cultural identities are interacted with within the U.S. Healthcare system, and subsequently the detrimental effects of the medical system's devaluation of culturally specific birthing and postpartum practices have on Asian American birthing experiences. This will be accomplished through an exploration of the United States' maternal healthcare system, or rather, its crisis; how Asian Americans navigate a system that has not been structured to support their specific needs; and lastly, a discussion …
Developing A Research Agenda In Partnership With Parents Of Deaf/Hard-Of-Hearing Children, Carrie A. Davenport, Ursula M. Findlen, Ann Schenk Mcalearney, Lisa Vaughn
Developing A Research Agenda In Partnership With Parents Of Deaf/Hard-Of-Hearing Children, Carrie A. Davenport, Ursula M. Findlen, Ann Schenk Mcalearney, Lisa Vaughn
Journal of Early Hearing Detection and Intervention
Background: Community-based participatory research (CBPR) is an excellent fit for understanding and addressing the unique and diverse needs of deaf or hard-of-hearing (DHH) children and their families.
Objectives: We describe lessons learned from a capacity building project initiating an academic-community partnership between a multidisciplinary research team and a small group of parents of DHH children. Trainings and focus group style discussions created a research agenda reflective of families’ priorities.
Methods: Processes are described related to the development and composition of a Family Advisory Council, training topics and methods, the process for generating and prioritizing topics, and evaluation procedures.
Lessons learned: …
Quality Improvement Project: Improving Patient Appointment Adherence Through Staff Education On Health Literacy, Christine A. Johnson- Nganbou Kamkeu
Quality Improvement Project: Improving Patient Appointment Adherence Through Staff Education On Health Literacy, Christine A. Johnson- Nganbou Kamkeu
Doctor of Nursing Practice Projects
Non-adherence to appointments remains an impediment to health continuity. It has been especially pervasive in rural settings. Numerous scholarly articles in the healthcare literature support enhancing health literacy in organizations and training in effective communication to promote patient appointment compliance. Hence, the purpose of the quality improvement (QI) project was not only to encourage appointment compliance but also to enhance the application of the Teach-Back Method through health literacy education. The theoretical perspective and practice application, according to Lewin’s Change Theory and the PDSA approach, included a four-week intervention period, during which the Agency for Healthcare Research and Quality (AHRQ) …
Governors Slightly More Bound? A Critique Of The Uniform Law Commission's Model Public-Health Emergency Authority Act, Paul A. Diller
Governors Slightly More Bound? A Critique Of The Uniform Law Commission's Model Public-Health Emergency Authority Act, Paul A. Diller
Kentucky Law Journal
No abstract provided.
Editorial: Migration And Health: A Human Rights Perspective - Conference Insights And Beyond, Noemi Rodriguez, Mira Goral, Justine Mcgovern, Allison Squires, María Isabel Roldos
Editorial: Migration And Health: A Human Rights Perspective - Conference Insights And Beyond, Noemi Rodriguez, Mira Goral, Justine Mcgovern, Allison Squires, María Isabel Roldos
Publications and Research
No abstract provided.
Impact Of Staff Education On Cultural Competency Knowledge And Skills, Okechukwu Cyril Akunwafor
Impact Of Staff Education On Cultural Competency Knowledge And Skills, Okechukwu Cyril Akunwafor
Walden Dissertations and Doctoral Studies
Summary The Doctor of Nursing Practice (DNP) project involved implementing a cultural competency staff education program at an outpatient mental health clinic. The identified practice problem was poor cultural competence practices knowledge among staff, resulting in poor patient engagement and a low patient satisfaction rate. Improving cultural competency in nursing practice was necessary to facilitate therapeutic trust, increase patient treatment adherence, and enhance staff compliance with Culturally and Linguistically Appropriate Services (CLAS). The practice-focused question guiding the DNP project was: Does implementing staff education impact their knowledge of cultural competence and confidence in adhering to CLAS? Data were collected through …
Enhancing Ptsd Diagnostic Accuracy Among Immigrant Patients Through Staff Education On The Harvard Trauma Questionnaire, Elijah Machogu Mabururu
Enhancing Ptsd Diagnostic Accuracy Among Immigrant Patients Through Staff Education On The Harvard Trauma Questionnaire, Elijah Machogu Mabururu
Walden Dissertations and Doctoral Studies
This doctor of nursing practice (DNP) project is a staff education initiative addressing the underdiagnoses of post-traumatic stress disorder (PTSD) among immigrant patients. The project was developed in response to inconsistent screening practices, lack of standardized tools, and limited provider confidence in assessing PTSD in culturally diverse populations. The purpose is to equip clinical staff with the knowledge and skills to apply the HTQ appropriately and consistently, thereby improving diagnostic accuracy and supporting equitable access to mental healthcare. The practice-focused question guiding this project was: Can an educational intervention using the HTQ improve staff’s ability to identify PTSD symptoms among …
Patients’ Experiences Of Triage And Waiting In Emergency Departments: A Cross-Sectional Survey, Carrie Janerka, Leslie D Gavin, Fenella J Gill, Pcc Ed Triage Group
Patients’ Experiences Of Triage And Waiting In Emergency Departments: A Cross-Sectional Survey, Carrie Janerka, Leslie D Gavin, Fenella J Gill, Pcc Ed Triage Group
Patient Experience Journal
Objective: Patient experience is a core aspect of care quality. Patient experiences of emergency departments (EDs) have been examined, but there has been less focus on ED triage and waiting areas, often patients’ initial point of contact with a health service. This study aimed to understand patients’ experiences of ED triage and waiting room. Methods: A cross-sectional survey was conducted across five Australian EDs to understand experiences of patients 14 years and over before, during and after triage. Quantitative data were analysed descriptively and explored for correlations. Qualitative responses for suggested improvements were analysed using a conventional content analysis approach. …
Staff Education On Cancer-Related Fatigue Assessments, Tamira Walker
Staff Education On Cancer-Related Fatigue Assessments, Tamira Walker
Walden Dissertations and Doctoral Studies
A staff education DNP project was designed and implemented with a focus on the analysis, synthesis, and application of best practices to enhance staff knowledge and performance through targeted education on fatigue assessments in cancer care. The project sought to answer the question: Does oncology nurse staff education increase knowledge of fatigue assessments in patients with cancer as compared pre to post education? The purpose of this project was to address a knowledge deficit by increasing staff knowledge on fatigue assessment in an ambulatory care setting by recognizing that cancer-related fatigue (CRF) is a complex, multifactorial symptom that often goes …
‘In Texas, Everybody Wants Antibiotics’: Reducing Inappropriate Antibiotic Expectations And Use With A Provider-Patient Communication Tool In Primary Care, Ashley Collazo, Paige Wermuth, Johanan Luna Rodriguez, Kiara Olmeda, Azalia Mancera, Fabrizia Faustinella, Michael K Paasche-Orlow, Roger Zoorob, Barbara Wells Trautner, Larissa Grigoryan
‘In Texas, Everybody Wants Antibiotics’: Reducing Inappropriate Antibiotic Expectations And Use With A Provider-Patient Communication Tool In Primary Care, Ashley Collazo, Paige Wermuth, Johanan Luna Rodriguez, Kiara Olmeda, Azalia Mancera, Fabrizia Faustinella, Michael K Paasche-Orlow, Roger Zoorob, Barbara Wells Trautner, Larissa Grigoryan
Faculty, Staff and Students Publications
Background/objective: Patients often expect antibiotics for self-limiting diseases, pressuring providers to prescribe antibiotics unnecessarily. These expectations also contribute to the unsafe practice of taking antibiotics without a prescription (non-prescription use), such as pills retained from prior prescriptions or antibiotics from non-medical sources. Previous work shows that non-prescription use is due to strong, widely held misconceptions regarding the curative power of antibiotics. To reduce unnecessary use of antibiotics, we developed and pilot-tested a patient-focused, bilingual (English and Spanish) educational tool with patient and provider stakeholder input. The tool, a trifold brochure, included information on safe antibiotic use, potential antibiotic harms and …
Executive Summary: Quality Improvement Initiative Enhancing Early Identification Of Adolescent Depression And Anxiety, Delphine Sirri
Executive Summary: Quality Improvement Initiative Enhancing Early Identification Of Adolescent Depression And Anxiety, Delphine Sirri
Walden Dissertations and Doctoral Studies
Universal staff training to increase the validity and reliability of adolescent mental health screening was implemented in this quality improvement (QI) initiative. Depression and anxiety disorders often emerge between ages 12 and 17, yet evidence-based screening measures such as the Patient Health Questionnaire (PHQ-9/PHQ-9M) and Generalized Anxiety Disorder (GAD-7) are underutilized due to provider knowledge gaps, workflow inefficiencies, and cultural barriers. Guided by the Johns Hopkins Nursing Evidence-Based Practice (JHNEBP) model, the project evaluated whether structured staff education improved early identification and diagnosis of adolescent depression and anxiety compared to routine practice. In workshops, web-based learning modules, case simulations, and …
Artificial Intelligence (Ai) In Pharmaceutical Formulation And Dosage Calculations., Sameer Joshi, Sandeep Sheth
Artificial Intelligence (Ai) In Pharmaceutical Formulation And Dosage Calculations., Sameer Joshi, Sandeep Sheth
PCOM Scholarly Works
Artificial intelligence (AI) is reforming pharmaceutical sciences by renovating traditional drug formulation and dosage calculation approaches. This review provides a comprehensive overview of how AI technologies, such as machine learning (ML), deep learning (DL), and natural language processing (NLP), are currently being used in pharmaceutical calculations to improve accuracy, efficiency, and personalization. We have explored the role of AI in predicting drug properties, excipient optimization, and formulation design, as well as its applications in pharmacokinetic/pharmacodynamic (PK/PD) modeling, real-time dose adjustment, and precision medicine. Despite significant progress, data quality, interpretability, regulatory acceptance, and ethical considerations persist. Therefore, this review examines the …
Standardizing And Scaffolding Health Care Ai-Chatbot Evaluation: Systematic Review., Yining Hua, Winna Xia, David Bates, George Hartstein, Hyungjin Tom Kim, Michael Li, Benjamin Nelson, Charles Stromeyer Iv, Darlene King, Jina Suh, Li Zhou, John Torous
Standardizing And Scaffolding Health Care Ai-Chatbot Evaluation: Systematic Review., Yining Hua, Winna Xia, David Bates, George Hartstein, Hyungjin Tom Kim, Michael Li, Benjamin Nelson, Charles Stromeyer Iv, Darlene King, Jina Suh, Li Zhou, John Torous
Department of Psychiatry and Human Behavior Faculty Papers
BACKGROUND: Health care chatbots are rapidly proliferating, while generative artificial intelligence (AI) outpaces existing evaluation standards.
OBJECTIVE: We aimed to develop a structured, stakeholder-informed framework to standardize evaluation of health care chatbots.
METHODS: PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses)-guided searches across multiple databases identified 266 records; 152 were screened, 21 full texts were assessed, and 11 frameworks were included. We extracted 356 questions (refined to 271 by deduplication and relevance review), mapped items to Coalition for Health AI constructs, and organized them with iterative input from clinicians, patients, developers, epidemiologists, and policymakers.
RESULTS: We developed the Health …
Executive Leadership System Improvement: System- Level Program To Improve Care For Type-Ii Diabetic Patients, Jane Chukwura
Executive Leadership System Improvement: System- Level Program To Improve Care For Type-Ii Diabetic Patients, Jane Chukwura
Walden Dissertations and Doctoral Studies
The DNP Scholarly Project presents the Diabetes Interprofessional Management Program, an organization-wide, logic-model–driven initiative to improve glycemic control, empower self-management, and advance health equity for adults with type II diabetes. The project leverages an interprofessional team, targeted training, culturally tailored education, health technology tools, and community partnerships to translate resources into team-based care, personalized plans, self-management support, and continuous education, with outputs including trained staff, engaged patients, and standardized care protocols. Short-term outcomes center on reduced mean HbA1c, more patients achieving HbA1c <7%, and widespread adoption of evidence-based pathways with standardized testing cadences. Long-term outcomes focus on fewer complications, higher patient satisfaction, and reduced disparities through the expansion of Diabetes Self-Management Education (DSME) and culturally appropriate resources, underpinned by robust data governance. The evaluation and implementation plan measures clinical outcomes, patient experience, and equity over 0–24 months, using formative metrics (workflow deployment, training, testing timeliness, DSME referrals, portal use) and summative metrics (HbA1c changes, HbA1c <7% at 12 months, hospitalizations, complications, knowledge and quality of life, equity indicators, and ROI). Governance features a Data Steering Subcommittee and quarterly dashboards. Deliverables include standardized protocols, DSME curricula, EHR workflows, training, and a scalable, sustainable model for broader deployment.
A High-Density Diffuse Optical Tomography Dataset Of Naturalistic Viewing, Arefeh Sherafati, Aahana Bajracharya, Michael S Jones, Emma Speh, Monalisa Munsi, Chen-Hao P Lin, Andrew K Fishell, Tamara Hershey, Adam T Eggebrecht, Joseph P Culver, Jonathan E Peelle
A High-Density Diffuse Optical Tomography Dataset Of Naturalistic Viewing, Arefeh Sherafati, Aahana Bajracharya, Michael S Jones, Emma Speh, Monalisa Munsi, Chen-Hao P Lin, Andrew K Fishell, Tamara Hershey, Adam T Eggebrecht, Joseph P Culver, Jonathan E Peelle
2020-Current year OA Pubs
Traditional laboratory tasks offer tight experimental control but lack the richness of our everyday human experience. As a result, many cognitive neuroscientists have been motivated to adopt experimental paradigms that are more natural, such as stories and movies. Here we describe data collected from 58 healthy adult participants (aged 18-76 years) who viewed 10 minutes of a movie (The Good, the Bad, and the Ugly, 1966). Most (36) participants viewed the clip more than once, resulting in 106 sessions of data. Cortical responses were mapped using high-density diffuse optical tomography (first- through fourth nearest neighbor separations of 1.3, 3.0, 3.9, …
Advancing Delirium Detection Through The Open Health Natural Language Processing Consortium And The Evolve To Next-Gen Accrual To Clinical Trials Network, Sunyang Fu, Min Ji Kwak, Jaerong Ahn, Zhiyi Yue, Shreyas Ranganath, Joseph R Applegate, Andrew Wen, Liwei Wang, Chenyu Li, Michele Morris, Kelly M Toth, Timothy D Girard, John D Osborne, Richard E Kennedy, Nelly-Estefanie Garduno-Rapp, Phillip Reeder, Justin F Rousseau, Chao Yan, You Chen, Mayur B Patel, Tyler J Murphy, Bradley A Malin, Chan Mi Park, Heling Jia, Sandeep Pagali, Allyson K Palmer, Jennifer St Sauver, Sunghwan Sohn, Elmer V Bernstam, Shyam Visweswaran, Yanshan Wang, Hongfang Liu
Advancing Delirium Detection Through The Open Health Natural Language Processing Consortium And The Evolve To Next-Gen Accrual To Clinical Trials Network, Sunyang Fu, Min Ji Kwak, Jaerong Ahn, Zhiyi Yue, Shreyas Ranganath, Joseph R Applegate, Andrew Wen, Liwei Wang, Chenyu Li, Michele Morris, Kelly M Toth, Timothy D Girard, John D Osborne, Richard E Kennedy, Nelly-Estefanie Garduno-Rapp, Phillip Reeder, Justin F Rousseau, Chao Yan, You Chen, Mayur B Patel, Tyler J Murphy, Bradley A Malin, Chan Mi Park, Heling Jia, Sandeep Pagali, Allyson K Palmer, Jennifer St Sauver, Sunghwan Sohn, Elmer V Bernstam, Shyam Visweswaran, Yanshan Wang, Hongfang Liu
Faculty, Staff and Student Publications
Background: Delirium is often underdiagnosed in clinical practice and is not routinely coded for billing. While manual chart review can identify delirium, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) can analyze unstructured text in electronic health records (EHRs) to extract meaningful clinical information.
Methods: To support national integration of NLP for EHR-based delirium identification across different institutions, we launched the Delirium Interest Group within the national Evolve to Next-Gen Accrual to Clinical Trials (ENACT) NLP Working Group. This paper outlines our initial efforts to standardize, evaluate, and translate an NLP-based delirium detection model into the …
Volume 8 (2025) The Spanish Language, Language Variations, Cultures And Responsibility
Volume 8 (2025) The Spanish Language, Language Variations, Cultures And Responsibility
International Journal on Responsibility
This issue reflects an intentional and profound commitment to linguistic inclusion, cultural diversity, and the shared responsibility of scholars to broaden the scope of academic dialogue beyond the boundaries of English. The essays collected here invite us to reimagine bilingualism not only as a communicative skill but also as a moral, social, and institutional responsibility.
Esta edición representa un compromiso intencional y profundo con la inclusión lingüística, la diversidad cultural y la responsabilidad compartida de ampliar los horizontes del diálogo académico más allá de los límites del inglés. Los ensayos aquí reunidos nos invitan a reimaginar el bilingüismo no solo …
Ethnobotanical Surveys And Morphological Analysis Of Medicinal Plant Names In Lɔ́Mɔngo (Lomongo) C60 At The Elandisha Mavaolo Protected Area In Northeastern Democratic Republic Of Congo, Jean-Baptiste Grodya Musafiri, Jean-Bosco Njango Ngonda, Reddy Shutcha Ehata, Charles Kumbatulu Sita, Chrispina Alphonce, Helene B. Mavar Manga Sodila
Ethnobotanical Surveys And Morphological Analysis Of Medicinal Plant Names In Lɔ́Mɔngo (Lomongo) C60 At The Elandisha Mavaolo Protected Area In Northeastern Democratic Republic Of Congo, Jean-Baptiste Grodya Musafiri, Jean-Bosco Njango Ngonda, Reddy Shutcha Ehata, Charles Kumbatulu Sita, Chrispina Alphonce, Helene B. Mavar Manga Sodila
Journal of Humanities and Social Sciences
The aim of this research is to contribute to the documentation of Lomongo, a Bantu language spoken in the Democratic Republic of Congo (DRC). In this study, we focused on two morphological aspects of medicinal plant names in Lomongo: nominal morphology and morpho-syntax. To collect data, we engaged with two categories of informants: primary informants (traditional healers) and secondary informants (native Lomongo speakers). Ethnobotanical and ethnolinguistic surveys were conducted in the “Elandisha” Mavaolo area through participant observation, semi-structured interview guides, audio recordings, and photographs. The plants identified were documented in situ with the assistance of botanists from "Matiti-Lisanga," an interdisciplinary …
Advancing Children's Mental Health In Nevada, Kelliann Beavers, Christopher Kearney
Advancing Children's Mental Health In Nevada, Kelliann Beavers, Christopher Kearney
Lincy Institute Events
Nevada ranks 51st nationally in youth mental health access and services, underscoring persistent shortages and disparities across the state. Nearly one in four youths aged 12–17 (23.5%) experienced a major depressive episode in the past year, and 73% did not receive treatment. Approximately 34,000 Nevada youths have reported suicidal thoughts—an urgent call for prevention and coordinated support.
During the 2024–2025 school year, 31.3% of Clark County School District students were chronically absent (missing 10% or more of school days), a challenge closely linked to mental health struggles and socioeconomic barriers.
This community forum provided an opportunity to generate dialogue and …
Design Considerations For Conversational Agents To Assess The Social-Emotional Well-Being Of Young Children In Low-Income South African Communities, Lucretia A. Williams, Elizabeth A. Ankrah, Catherine E. Draper, Caylee J. Cook, Franceli L. Cibrian, Jesus A. Beltran, Kimberley D. Lakes, Gillian R. Hayes
Design Considerations For Conversational Agents To Assess The Social-Emotional Well-Being Of Young Children In Low-Income South African Communities, Lucretia A. Williams, Elizabeth A. Ankrah, Catherine E. Draper, Caylee J. Cook, Franceli L. Cibrian, Jesus A. Beltran, Kimberley D. Lakes, Gillian R. Hayes
Engineering Faculty Articles and Research
A variety of digital technologies have been used to support early childhood development (ECD) programs in low-income South African communities. Even though technology has provided opportunities to increase access to health interventions, the lack of trust and socio-economic constraints under which these tools would need to work pose complex challenges. We examine home visitors’ work processes, experiences, and preferences of a conversational agent to support their work of administering social-emotional well-being assessments to young children ages 0-5. Analysis of the results of focus groups with 51 home visitors indicates the need for designing conversational agents that support ECD in the …
Understanding Ai Literacy: Implications For Practice, Devon Olson, Janet Anderson, Sara Westall
Understanding Ai Literacy: Implications For Practice, Devon Olson, Janet Anderson, Sara Westall
Librarian Publications
Presentation from the 2025 Mountain Plains Library Association Tri-Conference, held in Grand Forks, ND. This presentation provides an overview of basic AI concepts and frameworks for AI literacy, discussing the impact of different patron and learner demographics on learner needs, competencies, and instructional strategies.
Identifying Sex- And Gender-Specific Endocrinological, Lifestyle, Psychosocial, And Socio-Cultural Targets For Alzheimer's Disease Prevention In Africans: The Female Brain Health And Endocrine Research In Africa (Fember-Africa) Project, Chinedu Momoh, Benard Aliwa, Lukoye Atwoli, Karen Blackmon, Edna Bosire, Samuel Gitau, Harrison Kaleli, Ciru Kamanda, Linda Khakali, Rachel Maina, Peter Mativo, Sylvia Mbugua, Zul Merali, Kendi Muchungi, Anne Njogu, Douglas Nyankira, Alice Ondieki, Catherine Onyancha, Stanely Onyango, Jasmit Shah, Sheena Shah, Cynthia Smith, Dilraj Sokhi, Sheila Waa, Thomas Thesen
Identifying Sex- And Gender-Specific Endocrinological, Lifestyle, Psychosocial, And Socio-Cultural Targets For Alzheimer's Disease Prevention In Africans: The Female Brain Health And Endocrine Research In Africa (Fember-Africa) Project, Chinedu Momoh, Benard Aliwa, Lukoye Atwoli, Karen Blackmon, Edna Bosire, Samuel Gitau, Harrison Kaleli, Ciru Kamanda, Linda Khakali, Rachel Maina, Peter Mativo, Sylvia Mbugua, Zul Merali, Kendi Muchungi, Anne Njogu, Douglas Nyankira, Alice Ondieki, Catherine Onyancha, Stanely Onyango, Jasmit Shah, Sheena Shah, Cynthia Smith, Dilraj Sokhi, Sheila Waa, Thomas Thesen
Brain and Mind Institute
Dementia rates are rising globally, with the burden increasing most rapidly in low- tomiddle-income countries. Despite this, research into Alzheimer’s disease and relateddementias (ADRD) among African populations remains limited, with existing modelsbased on Western cohorts that overlook sex-, gender-, and ancestry-specific factors.The Female Brain Health and Endocrine Research in Africa (FemBER-Africa) project,hosted at the Brain and Mind Institute, Aga Khan University, Kenya, will establish adeeply phenotyped cohort of 250 African individuals across the ADRD spectrum. Itwill assess sex-specific risk factors linked to ethnicity, lifestyle, and endocrinologicalvariables using fluid-based biomarkers (blood and saliva), neuroimaging (magneticresonance imaging and positron emission tomography), and …
Design And Implementation Of Data Quality Controls In The Eq-Daphnie Study: Insights From The Pilot Phase And 15-Country Analysis, Fatima Al Sayah, Hilary Short, Juan M. Ramos-Goñi, Rosalie Viney, Erica I. Lubetkin, Mathieu F. Janssen, Jeffrey A. Johnson
Design And Implementation Of Data Quality Controls In The Eq-Daphnie Study: Insights From The Pilot Phase And 15-Country Analysis, Fatima Al Sayah, Hilary Short, Juan M. Ramos-Goñi, Rosalie Viney, Erica I. Lubetkin, Mathieu F. Janssen, Jeffrey A. Johnson
Publications and Research
Objective
The EQ-DAPHNIE (EuroQol Data for Assessment of Population Health Needs and Instrument Evaluation) project is a large, multi-country survey initiative designed to generate population norms and enable comparative research using self-reported health measures. This paper describes the quality control processes and summarizes data quality metrics from the United Kingdom (UK) pilot and full implementation across 15 countries.
Methods
Representative samples were recruited via Dynata, an online survey panel provider, using quota sampling by age, sex, income, community setting, and language (where applicable). The UK pilot (n = 3012) informed survey refinements ahead of full rollout (n = 68,411). Quality …
A Novel Method For Examining Autistic Children’S Comprehension Of Individual Words Produced Within Delayed Echolalia: A Proof-Of-Concept Pilot Study, Janine Mathee-Scott, Grace Corrigan, Emily Lorang, Zachary Hesse, Jennifer Johnson, Courtney E. Venker
A Novel Method For Examining Autistic Children’S Comprehension Of Individual Words Produced Within Delayed Echolalia: A Proof-Of-Concept Pilot Study, Janine Mathee-Scott, Grace Corrigan, Emily Lorang, Zachary Hesse, Jennifer Johnson, Courtney E. Venker
Speech Pathology and Audiology Faculty Research and Publications
Delayed echolalia, or the repetition of previously heard speech, is often observed in the expressive language of autistic children. Relatively little is known about how the production of delayed echolalia fits within the overall picture of autistic children’s language ability, including receptive language. To date, no empirical studies have tested autistic children’s comprehension of individual words within their delayed echoes. The present study aimed to establish proof-of-concept for a novel method of examining children’s comprehension of individual words that they produce in their own delayed echoes. Using natural language sampling combined with parent report, we identified instances of delayed echolalia …