Unfortunately, many patients in the United States experience disparities in access to surgical care, including geographic constraints, limited transportation and time, and financial hardships. Living in a "surgical care desert" results in a delay in care, driving up health care costs and reducing quality of care. In the age of COVID-19, patient access to health care has been further diminished by physical distancing guidelines, naturally increasing the need for innovative telehealth solutions. In this review, we focus on using smartphones for mobile health technology (mHealth) in the delivery of surgical care. This study is aimed at a general surgical audience that may be interested in exploring how mHealth can improve both access and health care quality for surgical patients and their families. We review the current uses of mHealth by surgeons for surgical site infection, new models of the perioperative surgical home, acute care surgical triage, remote patient monitoring devices, and evaluation and management of surgical consultations in the patient's home. We also review institutional and governmental barriers to the adoption of mHealth and offer some preliminary solutions that may aid the surgeon who wishes to implement this technology in their day-to-day practice.
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http://dx.doi.org/10.1016/j.jss.2020.12.066 | DOI Listing |
Ann Intern Med
January 2025
University of Maryland and VA Maryland Health Care System, Baltimore, Maryland (P.A.M.).
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
Ann Intern Med
January 2025
959 Medical Operations Squadron, U.S. Air Force, Department of Neurology, Brooke Army Medical Center, San Antonio, Texas (T.K.).
Description: In July 2024, the U.S. Department of Veterans Affairs (VA) and U.
View Article and Find Full Text PDFJMIR Diabetes
January 2025
Research Institute, BC Children's Hospital, Vancouver, BC, Canada.
Background: Beyond physical health, managing type 1 diabetes (T1D) also encompasses a psychological component, including diabetes distress, that is, the worries, fears, and frustrations associated with meeting self-care demands over the lifetime. While digital health solutions have been increasingly used to address emotional health in diabetes, these technologies may not uniformly meet the unique concerns and technological savvy across all age groups.
Objective: This study aimed to explore the mental health needs of adolescents with T1D, determine their preferred modalities for app-based mental health support, and identify desirable design features for peer-delivered mental health support modeled on an app designed for adults with T1D.
Interact J Med Res
January 2025
Department of Nursing Science, Diagnostics in Healthcare and eHealth, Trier University, Trier, Germany.
Background: Psychoeducation positively influences the psychological components of chronic low back pain (CLBP) in conventional treatments. The digitalization of health care has led to the discussion of virtual reality (VR) interventions. However, CLBP treatments in VR have some limitations due to full immersion.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!