Predicting e-Diagnosticity From Care Providers’ Use of Virtual Patient Technology in Work and Multimedia Technology Use in Non-Work Settings: Quantitative Study (Preprint)
Year: 2020
Type: preprint
Study design: Observational Study
Abstract: BACKGROUND As the adoption of telehealth technology increases, e-diagnosticity is becoming critical for health care providers to evaluate multimedia-based patient information during virtual patient consultations. OBJECTIVE This study considers cross-domain uses of virtual patient technology and multimedia technology as key underlying factors that concurrently influence e-diagnosticity capability. METHODS Repeated Measures ANOVA was used to evaluate care providers’ cross-contextual use of information technology (IT) and its downstream effect on e-diagnosticity. A total of 60 advanced practice nurse students (APNs) who were enrolled in a graduate nursing program recorded their experiences using both virtual patient and multimedia technology and responded to a survey questionnaire on their perception of e-diagnosticity. RESULTS Two technology user experiences were compared: the use of virtual patient technology at work and the user of multimedia technology in non-work settings. Our results show that while both technology use experiences were associated with enhanced e-diagnosticity, the effects of multimedia use in non-work settings were stronger for predicting e-diagnosticity (t-value = 4.3, p = 0.0002) than those of virtual patient technology use (t-value = 1.73, p = 0.0932). CONCLUSIONS Extending prior literature on the importance of user characteristics when using IT, this study further identifies IT use in work and non-work domains and tests the simultaneous effects on e-diagnosticity. We suggest that the assessment of care providers’ e-diagnosticity at work could be revisited by comparing it with their daily or personal exposure of multimedia technology features in non-work contexts.
Authors: Hyeyoung Hah, Deana Shevit Goldin
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4247239331