Medicine and Health Sciences Commons^™

The Clinical Suitability Of An Artificial Intelligence-Enabled Pain Assessment Tool For Use In Infants: Feasibility And Usability Evaluation Study, Jeffery David Hughes, Paola Chivers, Kreshnik Hoti

Research outputs 2022 to 2026

Background: Infants are unable to self-report their pain, which, therefore, often goes underrecognized and undertreated. Adequate assessment of pain, including procedural pain, which has short- and long-term consequences, is critical for its management. The introduction of mobile health–based (mHealth) pain assessment tools could address current challenges and is an area requiring further research. Objective: The purpose of this study is to evaluate the accuracy and feasibility aspects of PainChek Infant and, therefore, assess its applicability in the intended setting. Methods: By observing infants just before, during, and after immunization, we evaluated the accuracy and precision at different cutoff scores of …

Effectiveness Of Mobile Apps To Improve Urinary Incontinence: A Systematic Review Of Randomised Controlled Trials, Renee Widdison, Amineh Rashidi, Lisa Whitehead

Research outputs 2022 to 2026

Introduction: Pelvic floor exercises are effective in the treatment of urinary incontinence (UI) and are routinely prescribed, along with bladder training, by primary healthcare providers as first line conservative management. Mobile phone applications are increasingly popular within the healthcare setting and can provide opportunities for patients to complete treatments at home. To date, there has not been a systematic review examining outcomes from randomised controlled trials on the effectiveness of mobile applications to improve UI. Methods: A systematic review of randomized controlled trials evaluating the effectiveness of mobile applications to improve UI was carried out according to the PRISMA reporting …

Translation And Cross-Cultural Validation Of A Precision Health Tool, The Suboptimal Health Status Questionnaire-25, In Korean, Zheng Guo, Ruoyu Meng, Yulu Zheng, Xingang Li, Ziqi Zhou, Leilei Yu, Qian Tang, Ying Zhao, Monique Garcia, Yuxiang Yan, Song Manshu, Lois A. Balmer, Jun Wen, Haifeng Hou, Xuerui Tan, Wei Wang, Suboptimal Health Study Consortium (Shsc), Global Health Epidemiology Research Group (Gherg)

Research outputs 2022 to 2026

Background

Suboptimal health status (SHS) is a reversible stage between health and illness that is characterized by health complaints, low energy, general weakness, and chronic fatigue. The Suboptimal Health Status Questionnaire-25 (SHSQ-25) has been validated in three major populations (African, Asian, and Caucasian) and is internationally recognized as a reliable and robust tool for health estimation in general populations. This study focused on the development of K-SHSQ-25, a Korean version of the SHSQ-25, from its English version.

Methods

The SHSQ-25 was translated from English to Korean according to international guidelines set forth by the World Health Organization (WHO) for health …

Novel Deep Learning Approach To Model And Predict The Spread Of Covid-19, Devante Ayris, Maleeha Imtiaz, Kye Horbury, Blake Williams, Mitchell Blackney, Celine Shi Hui See, Syed Afaq Ali Shah

Research outputs 2022 to 2026

SARS-CoV2, which causes coronavirus disease (COVID-19) is continuing to spread globally, producing new variants and has become a pandemic. People have lost their lives not only due to the virus but also because of the lack of counter measures in place. Given the increasing caseload and uncertainty of spread, there is an urgent need to develop robust artificial intelligence techniques to predict the spread of COVID-19. In this paper, we propose a deep learning technique, called Deep Sequential Prediction Model (DSPM) and machine learning based Non-parametric Regression Model (NRM) to predict the spread of COVID-19. Our proposed models are trained …

Quantifying The Effect Of Monitor Wear Time And Monitor Type On The Estimate Of Sedentary Time In People With Copd: Systematic Review And Meta-Analysis, Fiona Coll, Vinicius Cavalheri, Daniel F. Gucciardi, Sheldon Wulff, Kylie Hill

Research outputs 2022 to 2026

In studies that have reported device-based measures of sedentary time (ST) in people with chronic obstructive pulmonary disease (COPD), we explored if the monitor type and monitor wear time moderated the estimate of this measure. Five electronic databases were searched in January 2021. Studies were included if >70% of participants had stable COPD, and measures of ST (min/day) were collected using wearable technology. Meta-regression was used to examine the influence of moderators on ST, monitor type, and wear time. The studies identified were a total of 1153, and 36 had usable data for meta-analyses. The overall pooled estimate of ST …

Barriers And Enablers For Older Adults Participating In A Home-Based Pragmatic Exercise Program Delivered And Monitored By Amazon Alexa: A Qualitative Study, Paul Jansons, Jackson Fyfe, Jack Dalla Via, Robin M. Daly, Eugene Gvozdenko, David Scott

Research outputs 2022 to 2026

Background: The remote delivery and monitoring of individually-tailored exercise programs using voice-controlled intelligent personal assistants (VIPAs) that support conversation-based interactions may be an acceptable alternative model of digital health delivery for older adults. The aim of this study was to evaluate the enablers and barriers for older adults participating in a home-based exercise program delivered and monitored by VIPAs. Method: This qualitative study used videoconferencing to conduct semi-structured interviews following a 12-week, prospective single-arm pilot study in 15 adults aged 60 to 89 years living alone in the community. All participants were prescribed an individualized, brief (10 min, 2–4 times …

Elastic Tubes: The Ideal Equipment For Telehealth Exercise Medicine In The Management Of Prostate Cancer?, Georgios Mavropalias

Research outputs 2022 to 2026

Prostate cancer (PCa) affects 1 in 8 men, but exercise therapy has been shown to be a very effective intervention not only to induce physiological benefits but to also reduce the side effects of cancer treatments typically administered during PCa. The COVID19 pandemic has restricted access to exercise clinics, a problem which always existed for people living in rural and remote areas. This caused many exercise physiologists and researchers to transition their clinic-based exercise to online, home-based exercise. We would like to propose that researchers and exercise physiologists should consider the use of elastic tubes in both research and the …