Background: Preoperative anxiety in children is highly prevalent and is associated with adverse outcomes. Existing psychosocial interventions to reduce preoperative anxiety are often aimed at distraction and are of limited efficacy. Gradual exposure is a far more effective way to reduce anxiety. Virtual reality (VR) provides a unique opportunity to gradually expose children to all aspects of the operating theater.
Objective: The aims of our study are (1) to develop a virtual reality exposure (VRE) tool to prepare children psychologically for surgery; and (2) to examine the efficacy of the VRE tool in a randomized controlled trial (RCT), in which VRE will be compared to care as usual (CAU).
Methods: The VRE tool is highly realistic and resembles the operating room environment accurately. With this tool, children will not only be able to explore the operating room environment, but also get accustomed to general anesthesia procedures. The PREoperative Virtual reality Intervention to Enhance Wellbeing (PREVIEW) study will be conducted. In this single-blinded RCT, 200 consecutive patients (aged 4 to 12 years) undergoing elective day care surgery for dental, oral, or ear-nose-throat problems, will be randomly allocated to the preoperative VRE intervention or CAU. The primary outcome is change in child state anxiety level between baseline and induction of anesthesia. Secondary outcome measures include child's postoperative anxiety, emergence delirium, postoperative pain, use of analgesics, health care use, and pre- and postoperative parental anxiety.
Results: The VRE tool has been developed. Participant recruitment began March 2017 and is expected to be completed by September 2018.
Conclusions: To our knowledge, this is the first RCT evaluating the effect of a VRE tool to prepare children for surgery. The VRE intervention is expected to significantly diminish preoperative anxiety, postoperative pain, and the use of postoperative analgesics in pediatric patients. The tool could create a less stressful experience for both children and their parents, in line with the modern emphasis on patient- and family-centered care.
Trial Registration: Netherlands Trial Registry: NTR6116; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6116 (Archived by WebCite at http://www.webcitation.org/6ryke7aep).
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613189 | PMC |
http://dx.doi.org/10.2196/resprot.7617 | DOI Listing |
PLoS One
November 2024
Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Clinical and Environmental Microbiology Branch, Atlanta, Georgia, United States of America.
Hospital surfaces are known to contribute to the spread of healthcare-associated antimicrobial pathogens. Environmental sampling can help locate reservoirs and determine intervention strategies, although sampling and detection can be labor intensive. Composite approaches may help reduce time and costs associated with sampling and detection.
View Article and Find Full Text PDFMicrobiol Spectr
October 2024
Department of Laboratory Medicine, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan.
Unlabelled: In recent years, there has been a gradual increase in the prevalence of drug-resistant bacteria, primarily attributed to the widespread use of antibiotics. This has resulted in heightened mortality rates, morbidity, and exorbitant healthcare costs associated with antibiotic-resistant bacterial infections. In order to mitigate the spread of antibiotic-resistant bacteria, environmental disinfection plays a crucial role.
View Article and Find Full Text PDFPLoS One
October 2024
Antimicrobial Resistance Research Center, National Institute of Infectious Diseases, Higashimurayamashi, Tokyo, Japan.
Surveillance of antimicrobial resistance (AMR) is a crucial strategy to combat AMR. Using routine surveillance data, we could detect and control hospital outbreaks of AMR bacteria as early as possible. Previously, we developed a framework for automatic detection of clusters of AMR bacteria using SaTScan, a free cluster detection tool integrated into WHONET.
View Article and Find Full Text PDFmSystems
November 2024
Institute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University, Düsseldorf, Germany.
Int J Mol Sci
August 2024
Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!