Background: Burn care in resource-constrained settings represents a significant challenge. Mobile health (mHealth) could have useful advantages by providing timely expert advice. As part of a larger study on teleconsultation in burn care, a mobile application – the Vula App – was developed and tested in the Western Cape. This study gauges healthcare providers' intention to use this mHealth technology and factors influencing its adoption. Methods: 48 healthcare providers working in Emergency Centres of three health facilities answered a questionnaire immediately after being trained in the use of the app. The survey was based on the Technology Acceptance Model of Davis and included the constructs of ease of use, usefulness, design quality, impact on care, compatibility, and behavioural intention to adopt. Descriptive statistics were used for data analysis. Results: The mean age of participants was 29.5 years old and the male-to-female ratio was 1:2. 73.9% of respondents were doctors and the remainder nurses. 93.4% of them already owned and used smartphones, with 76% using them in medical practice. 93% of respondents thought the app was easy to use and 91.3% found it useful. 17.8% found it incompatible with their routine work. 84.8% of participants expressed their intention to adopt and use the system. 4.3% of participants rejected it and 10.9%remained undecided. Conclusion: The majority of participants already used smartphones and found the Vula app useful, easy to use, well designed, beneficial in burn care and compatible with their routine work. These factors led them to express the intention to use the app. This significantly predicts actual future use and is essential to the successful implementation of mHealth.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/32649 |
| Date | 22 January 2021 |
| Creators | Diango, Ken Ngoy |
| Contributors | Wallis, Lee A |
| Publisher | Faculty of Health Sciences, Division of Emergency Medicine |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Master Thesis, Masters, MMed |
| Format | application/pdf |
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