Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
Add more filters










Database
Language
Publication year range
1.
JAMIA Open ; 6(3): ooad076, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37693368

ABSTRACT

Objective: The primary aim of this study was to apply a novel technology acceptance model (TAM) for virtual reality (VR) in healthcare. The secondary aim was to assess reliability of this model to evaluate factors that predict the intentions of pediatric health providers' use of VR as an anxiolytic for hospitalized pediatric patients. Materials and Methods: Healthcare providers that interacted with pediatric patients participated in a VR experience available as anxiolysis for minor procedures and then completed a survey evaluating attitudes, behaviors, and technology factors that influence adoption of new technologies. Results: Reliability for all domain measurements were good, and all confirmatory factor analysis models demonstrated good fit. Usefulness, ease of use, curiosity, and enjoyment of the VR experience all strongly predict intention to use and purchase VR technologies. Age of providers, past use, and cost of technology did not influence future purchase or use, suggesting that VR technologies may be broadly adopted in the pediatric healthcare setting. Discussion: Previous VR-TAM models in non-healthcare consumers formulated that age, past use, price willing to pay, and curiosity impacted perceived ease of use. This study established that age, past use, and cost may not influence use in healthcare. Future studies should be directed at evaluating the social influences and facilitating conditions within healthcare that play a larger influence on technology adoption. Conclusion: The VR-TAM model demonstrated validity and reliability for predicting intent to use VR in a pediatric hospital.

4.
J Clin Anesth ; 76: 110569, 2022 02.
Article in English | MEDLINE | ID: mdl-34739949

ABSTRACT

STUDY OBJECTIVE: HRAD± was developed to quickly evaluate pediatric preprocedural affect and cooperativity during mask induction of anesthesia and peripheral intravenous (PIV) placement. HRAD± represents: Happy, Relaxed, Anxious, Distressed, with a yes/no answer to cooperativity. The primary aim of this study was to compare HRAD± to previously published scales. DESIGN: We conducted an observational study. SETTING: Videos of pediatric patients were collected in the perioperative environment. PATIENTS: Twenty-four children, twenty-one pediatric anesthesiologists and twenty pediatric perioperative providers were included. INTERVENTIONS: To assess the reliability of HRAD±, standard patient videos were created. Children underwent mask induction or PIV placement, and these interventions were video recorded. Mask induction and PIV placement videos were rated by pediatric anesthesiologists and perioperative non-physician providers respectively using HRAD±. MEASUREMENTS: Two trained researchers provided the modified Yale Preoperative Anxiety Scale (mYPAS), Observation Scale of Behavioral Distress (OSBD), and Induction Compliance Checklist (ICC) scores, and we calculated correlations to HRAD±, inter-rater reliability, and intra-rater reliability. MAIN RESULTS: HRAD± scores strongly correlated with mYPAS (r = 0.846, p < 0.0001) and OSBD scores (r = 0.723, p < 0.0001). Cooperativity scores correlated strongly with ICC scores in the mask induction group (r = -0.715, p < 0.0001) and in the PIV group (r = -0.869, p < 0.0001). HRAD± inter-rater reliability for mask induction was 0.414 (p < 0.0001) and for PIV assessment was 0.378 (p < 0.0001). Inter-rater reliability for cooperativity on mask induction was 0.797 (p < 0.0001) and PIV assessment was 0.683 (p < 0.0001). Intra-rater reliability for mask induction was 0.675 and PIV assessments was 0.678. Intra-rater reliability for cooperativity for mask induction was 0.894 and for PIV assessments was 0.765. CONCLUSIONS: HRAD± is an efficient and reliable scale that serves as a practical alternative for measuring pediatric affect during mask induction and PIV placement. The results demonstrate strong correlation with commonly utilized yet more complex affect scales.


Subject(s)
Anxiety , Child Behavior , Anesthesia, General , Child , Emotions , Humans , Reproducibility of Results
5.
Curr Opin Anaesthesiol ; 34(3): 284-291, 2021 Jun 01.
Article in English | MEDLINE | ID: mdl-33935176

ABSTRACT

PURPOSE OF REVIEW: Commercial availability of virtual reality headsets and software has exponentially grown over the last decade as it has become more sophisticated, less expensive, and portable. Although primarily used by the general public for entertainment, virtual reality has been adopted by periprocedural clinicians to improve patient experiences and treatments. The purpose of this review is to explore recently reported evidence for virtual reality effectiveness for pediatric periprocedural care and discuss considerations for clinical implementation. RECENT FINDINGS: In the preprocedure setting, practitioners use virtual reality to introduce children to periprocedural environments, distract attention from preprocedural vascular access, and increase cooperation with anesthesia induction. Intraprocedure, virtual reality decreases sedation requirements, and in some instances, eliminates anesthesia for minor procedures. Virtual reality also augments pain reduction therapies in the acute and extended rehabilitation periods, resulting in faster recovery and improved outcomes. Virtual reality seems to be well treated for pediatric use, given close clinical care and carefully curated content. SUMMARY: Given the multiple clinical applications of virtual reality to supplement pediatric periprocedural care, practitioners should consider developing clinical programs that reliably provide access to virtual reality. Future research should focus on identification of patient characteristics and types of software that yield optimal patient outcomes.


Subject(s)
Virtual Reality , Child , Humans , Pain Management , Software
SELECTION OF CITATIONS
SEARCH DETAIL
...