Experiences of physiotherapists considering virtual reality for shoulder rehabilitation: A focus group study
SAGE Publications » DIGITAL HEALTH
by Beate Dejaco, Niamh Brady, Anne Tankink, Jeremy Lewis, Harry van Goor, J Bart Staal, Niki Stolwijk
2d ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. IntroductionShoulder pain is common and associated with substantial morbidity. Different treatment strategies are being prescribed with equivocal results. Virtual reality (VR) is a novel technology and emerging research suggests that VR may be a promising alternative to current treatments. Prior to effectiveness research or any large-scale introduction, VR-applications require appropriate scrutiny including feasibility- and acceptability of clinicians and patients. Therefore, the aim of this study was to collect experiences of physiothe ..read more
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Digital physiotherapy is a satisfactory and effective method to improve the quality of life in Long COVID patients
SAGE Publications » DIGITAL HEALTH
by María-José Estebanez-Pérez, José-Manuel Pastora-Bernal, María- Jesús Vinolo-Gil, Pablo Pastora-Estebanez, Rocío Martín-Valero
2d ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. ObjectiveThis research aimed to explore Long COVID patient's quality of life, satisfaction and perception with an individualized and customizable digital physiotherapy intervention during a 4-week period.MethodsA pre-post clinical trial was conducted with 32 Long COVID patients. Quality of life was assessed using the 12-Item Short Form Survey and the European Quality of Life-5 Dimensions questionnaire (EuroQol-5D), while satisfaction and perception were measured using the Telemedicine Satisfaction Questionnaire. Optional open-ended ques ..read more
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Association between digital health literacy and physical activity levels among individuals with and without long-term health conditions: Data from a cross-sectional survey of 19,231 individuals
SAGE Publications » DIGITAL HEALTH
by Graziella Zangger, Sofie Rath Mortensen, Lars Herman Tang, Lau Caspar Thygesen, Søren T. Skou
2d ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. ObjectivesThis study explored associations between digital health literacy and physical activity levels and assessed potential interactions of long-term health conditions.MethodsA cross-sectional survey was sent to 34,000 inhabitants in Region Zealand, Denmark. The survey included items on physical activity levels and three electronic Health Literacy Questionnaire (eHLQ) scales (1, 4, and 5). Associations were assessed by logistic regression and adjusted for confounders.ResultsA total of 19,231 participated in the survey. Positive assoc ..read more
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Patients’ and caregivers’ experiences of virtual care in a primary care setting during the COVID-19 pandemic: A patient-oriented research study
SAGE Publications » DIGITAL HEALTH
by Gayle Halas, Alanna Baldwin, Kerri Mackay, Ernesto Cardenas, Lisa LaBine, Phyllis Cherrett, Linda Abraham, Vivianne Fogarty, Alexander Singer, Alan Katz, Sarah Kirby
2d ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. ObjectiveThis study explored patient and caregiver expectations and experiences of virtual primary care in Manitoba, Canada. This study focused on accessibility of care, acceptability and perceptions of quality from ‘users’ of primary healthcare services. Due to the rapid implementation of virtual primary care during the COVID-19 pandemic in Canada, patient/public input was largely bypassed.MethodsA mixed method was conducted in collaboration with Patient and Caregiver Community Advisors. Data was obtained from 696 surveys and 9 focus g ..read more
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Feasibility of a mobile health app-based self-management program for Chinese patients with breast cancer receiving chemotherapy: A randomized controlled pilot study
SAGE Publications » DIGITAL HEALTH
by Nuo Shi, Arkers Kwan Ching Wong, Frances Kam Yuet Wong, Nan Zhang, Weiyi Zhu, Kunwei Shen, Xiaobin Lai, Yufei Jin, Chengjia Gu, Lijing Nie, Xiaojing Dong
2d ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. ObjectiveThere are currently an increasing number of mobile health (mHealth) programs offered to patients with breast cancer undergoing chemotherapy, but their rate of adherence to app usage has remained low. This study aimed to examine the feasibility of an mHealth app-based program such as the adherence rate of app usage and determine the preliminary effects on self-efficacy, quality of life, symptom burden and healthcare utilization in these patients.MethodsWe conducted a randomized controlled pilot trial. Ninety-six participants wer ..read more
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Teledermatology in practice: Report of Mayo Clinic experience
SAGE Publications » DIGITAL HEALTH
by Nessa Aghazadeh Mohandesi, Tudor Puiu, Setu Mittal, Matthew R Hall, Olayemi Sokumbi, Aaron R Mangold, Michael B Colgan, Megha M Tollefson, Julio C Sartori-Valinotti
4d ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. BackgroundDelivery of dermatologic care through telemedicine was accelerated by the COVID-19 pandemic. We sought to analyze the teledermatology experience across Mayo Clinic's health care system to identify strengths and limitations of teledermatology.MethodsElectronic health records of dermatology televisits were reviewed from multiple U.S. Mayo Clinic sites from January 2020 through January 2021.ResultsA total of 13,181 dermatology televisits were conducted in 6468 unique patients. Patients were primarily female (60.2%), and mean age ..read more
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AFEX-Net: Adaptive feature extraction convolutional neural network for classifying computerized tomography images
SAGE Publications » DIGITAL HEALTH
by Roxana Zahedi Nasab, Hadis Mohseni, Mahdieh Montazeri, Fahimeh Ghasemian, Sobhan Amin
1w ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. PurposeDeep convolutional neural networks are favored methods that are widely used in medical image processing due to their demonstrated performance in this area. Recently, the emergence of new lung diseases, such as COVID-19, and the possibility of early detection of their symptoms from chest computerized tomography images has attracted many researchers to classify diseases by training deep convolutional neural networks on lung computerized tomography images. The trained networks are expected to distinguish between different lung indic ..read more
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Identifying metabolic dysfunction-associated steatotic liver disease in patients with hypertension and pre-hypertension: An interpretable machine learning approach
SAGE Publications » DIGITAL HEALTH
by Chen Chen, Wenkang Zhang, Gaoliang Yan, Chengchun Tang
1w ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. ObjectiveMetabolic dysfunction-associated steatotic liver disease (MASLD) is one of the most prevalent liver diseases and is associated with pre-hypertension and hypertension. Our research aims to develop interpretable machine learning (ML) models to accurately identify MASLD in hypertensive and pre-hypertensive populations.MethodsThe dataset for 4722 hypertensive and pre-hypertensive patients is from subjects in the NAGALA study. Six ML models, including the decision tree, K-nearest neighbor, gradient boosting, naive Bayes, support vec ..read more
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Objectives for algorithmic decision-making systems in childhood asthma: Perspectives of children, parents, and physicians
SAGE Publications » DIGITAL HEALTH
by Omar Masrour, Johan Personnic, Flore Amat, Rola Abou Taam, Blandine Prevost, Guillaume Lezmi, Apolline Gonsard, Nadia Nathan, Alexandra Pirojoc, Christophe Delacourt, Stéphanie Wanin, David Drummond
1w ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. ObjectivesTo identify with children, parents and physicians the objectives to be used as parameters for algorithmic decision-making systems (ADMSs) adapting treatments in childhood asthma.MethodsWe first conducted a qualitative study based on semi-structured interviews to explore the objectives that children aged 8–17 years, their parents, and their physicians seek to achieve when taking/giving/prescribing a treatment for asthma. Following the grounded theory approach, each interview was independently coded by two researchers; reconcile ..read more
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Enhancing digital health services: A machine learning approach to personalized exercise goal setting
SAGE Publications » DIGITAL HEALTH
by Ji Fang, Vincent CS Lee, Hao Ji, Haiyan Wang
1w ago
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. BackgroundThe utilization of digital health has increased recently, and these services provide extensive guidance to encourage users to exercise frequently by setting daily exercise goals to promote a healthy lifestyle. These comprehensive guides evolved from the consideration of various personalized behavioral factors. Nevertheless, existing approaches frequently neglect the users’ dynamic behavior and the changing in their health conditions.ObjectiveThis study aims to fill this gap by developing a machine learning algorithm that dynam ..read more
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