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Implementing a Responsible Conduct of Research Curriculum for an Undergraduate Summer Clinical Research Program in Quantitative Sciences.
J Med Educ Curric Dev
January 2025
Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, NY, USA.
Objectives: Instilling the principles of ethical and responsible medical research is critical for educating the next generation of clinical researchers. We developed a responsible conduct of research (RCR) workshop and associated curriculum for undergraduate trainees in a quantitative clinical research program.
Methods: Topics in this 7-module RCR workshop are relevant to undergraduate trainees in quantitative fields, many of whom are learning about these concepts for the first time.
Telehealth for Goals of Care Conversations in Advanced CKD: A Mixed-Methods Pilot Study of US Veterans and Their Clinicians.
Kidney Med
November 2024
Division of Geriatrics and Extended Care, Edward Hines, Jr. VA Hospital, Hines, IL.
Rationale & Objective: Engaging patients with advanced chronic kidney disease (CKD) in goals of care (GOC) conversations is essential to align life-sustaining treatments with patient preferences. This pilot study described the feasibility of engaging older Veterans with advanced CKD in GOC conversations via telehealth by (1) comparing patient characteristics, including life-sustaining treatment note completion rates and preferences by visit modality, and (2) exploring Veteran and clinician perspectives surrounding telehealth GOC conversations.
Study Design: Mixed-method convergent design including a prospective, quantitative observational cohort analysis (n = 40) and qualitative, semi-structured interviews with 4 clinicians and 11 Veterans.
An Australian online training and support program for caregivers of children and youth with Fetal Alcohol Spectrum Disorder: Families linking with families.
J Intellect Dev Disabil
June 2024
NOFASD, Perth, Australia.
Background: Australia has limited supports to help families where Fetal Alcohol Spectrum Disorder (FASD) impacts children and young people. National Organisation for Fetal Alcohol Spectrum Disorder Australia (NOFASD), in conjunction with the University of Otago, New Zealand, piloted and established a 7-week online program to assist caregivers to develop strategies and supports to help their families live well in a disabling society.
Method: The online program, Families Linking with Families (FLWF), was delivered to 88 caregivers.
Natural language processing to evaluate texting conversations between patients and healthcare providers during COVID-19 Home-Based Care in Rwanda at scale.
PLOS Digit Health
January 2025
Rwanda Ministry of Health, Kigali, Rwanda.
Community isolation of patients with communicable infectious diseases limits spread of pathogens but our understanding of isolated patients' needs and challenges is incomplete. Rwanda deployed a digital health service nationally to assist public health clinicians to remotely monitor and support SARS-CoV-2 cases via their mobile phones using daily interactive short message service (SMS) check-ins. We aimed to assess the texting patterns and communicated topics to better understand patient experiences.
View Article and Find Full Text PDFSpeech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview.
J Speech Lang Hear Res
January 2025
Centre for Language Studies, Radboud University, Nijmegen, the Netherlands.
Purpose: In this review article, we present an extensive overview of recent developments in the area of dysarthric speech research. One of the key objectives of speech technology research is to improve the quality of life of its users, as evidenced by the focus of current research trends on creating inclusive conversational interfaces that cater to pathological speech, out of which dysarthric speech is an important example. Applications of speech technology research for dysarthric speech demand a clear understanding of the acoustics of dysarthric speech as well as of speech technologies, including machine learning and deep neural networks for speech processing.
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