Background: The use of digital health strategies for cancer care increased dramatically in the United States over the past 4 years. However, a dearth of knowledge remains about the use of digital health for cancer prevention for some populations with heath disparities. Therefore, the purpose of the present scoping review was to identify digital health interventions for cancer prevention designed for people with disabilities.
Methods: This scoping review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews and the Arksey and O'Malley methodological framework. The Embase, PubMed, Ovid MEDLINE, and CINAHL/EBSCO databases were searched for peer-reviewed articles published from database inception to February 5, 2024. Reports published in English of studies that employed digital health strategies for cancer prevention, were conducted among people with disabilities regardless of age, and were conducted in the United States were included.
Findings: Following screening for eligibility, seven articles were identified. The types of disabilities were cancer (n = 4), bipolar I or II disorder (n = 1), obesity (n = 1), and deafness (n = 1). Interventions focused on education (n = 4), screening (n = 3), smoking cessation (n = 3), physical activity (n = 1), and cessation support (n = 1). Digital health strategies consisted of educational content delivered online, text messaging, interactive educational games, and downloadable informational applications. The common outcome of interest across all manuscripts was intervention efficacy.
Interpretation: Overall, limited research is available to evaluate the use of digital health for cancer prevention among people with disabilities. This review identified gaps in knowledge that, if addressed, may help guide continued innovation in the use of digital health strategies for cancer prevention among people with disabilities.
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http://dx.doi.org/10.1002/cam4.70571 | DOI Listing |
HPB (Oxford)
December 2024
Institute for Surgical Pathology, Medical Center - University of Freiburg, Germany; Core Facility for Histopathology and Digital Pathology, University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany. Electronic address:
Background: In pancreatic surgery Postoperative pancreatic fistula (POPF) represents the most dreaded complication, for which pancreatic texture is acknowledged as one of the strongest predictors. No consensual objective reference has been defined to evaluate the pancreas composition. The presented study aimed to mine histology data of the pancreatic tissue composition with AI assist and correlate it with clinic-pathological parameters derived from the RECOPANC study.
View Article and Find Full Text PDFJ Voice
January 2025
Department of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; Division of Laryngology and Bronchoesophagology, Department of Otolaryngology Head Neck Surgery, EpiCURA Hospital, Baudour, Belgium; Department of Otolaryngology-Head and Neck Surgery, Foch Hospital, School of Medicine, UFR Simone Veil, Université Versailles Saint-Quentin-en-Yvelines (Paris Saclay University), Paris, France; Department of Otolaryngology, Elsan Hospital, Paris, France. Electronic address:
Background: Voice analysis has emerged as a potential biomarker for mood state detection and monitoring in bipolar disorder (BD). The systematic review aimed to summarize the evidence for voice analysis applications in BD, examining (1) the predictive validity of voice quality outcomes for mood state detection, and (2) the correlation between voice parameters and clinical symptom scales.
Methods: A PubMed, Scopus, and Cochrane Library search was carried out by two investigators for publications investigating voice quality in BD according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements.
Int J Biol Macromol
January 2025
School of Materials Science and Engineering, School of Chemistry and Chemical Engineering, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, Harbin Institute of Technology, Harbin 150001, PR China. Electronic address:
Wound bacterial infections not only impede the healing process but can also give rise to a range of serious complications, thereby posing a substantial risk to human health. Developing effective wound dressings incorporating phototherapy functionalities, specifically photothermal therapy (PTT) and photodynamic therapy (PDT), remains a critical area of research in modern wound care. Existing PTT-PDT systems often suffer from challenges such as nanoparticle aggregation and inefficient reactive oxygen species (ROS) generation, which are essential for therapeutic efficacy.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Lusófona University, HEI-Lab: Digital Human-Environment Interaction Labs, Portugal. Electronic address:
Assessing Fear of Birth Scale's (FOBS) psychometric properties in the perinatal period using multicountry data is a step toward effectively screen clinically significant fear of childbirth (FOC) in maternal healthcare settings. FOBS psychometric properties were analyzed in women in the perinatal period using data from Australia, Germany, Lithuania, Poland, and Portugal. FOBS' reliability, criterion (known group and convergent), concurrent, predictive, and clinical validity were analyzed.
View Article and Find Full Text PDFPsychiatry Res
January 2025
SA Health, Northern Adelaide Local Health Network, Northern Community Mental Health, Salisbury, Australia; Sonder, Headspace Adelaide Early Psychosis, Adelaide, Australia; The University of Adelaide, Adelaide Medical School, Discipline of Psychiatry, Adelaide, Australia.
Community-based high intensity services for people living with severe and enduring mental illnesses face critical workforce shortages and workflow efficiency challenges. The expectation to monitor complex, dynamic patient data from ever-expanding electronic health records leads to information overload, a significant factor contributing to worker burnout and attrition. An algorithmic workforce, defined as a suite of algorithm-driven processes, can work alongside health professionals assisting with oversight tasks and augmenting human expertise.
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