Digital Learning in Healthcare Service Delivery

The best learning method provides access to the most relevant and practical information in the shortest possible time. We have been working to introduce an accepted digital method to improve the quality of nurses' learning in the appropriate and correct use of medical devices.

Published in Healthcare & Nursing and Education

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BioMed Central
BioMed Central BioMed Central

Adoption of quick response codes as a digital microlearning tool among clinical nurses: a quasi-experimental study - BMC Medical Education

Background The rapid growth of technology forced enormous changes in the provision of healthcare services. Different strategies are used to keep nurses up to date with rapid changes in health systems. Microlearning is one of the new methods of teaching professional skills to health workers. This method is effective in care settings that have many limitations in terms of time and place. However, it is very important to test the acceptability of this method among nurses before practical measures are taken for its widespread use. This study aimed to determine nurses’ acceptance rate of quick response code as a microlearning tool in workplace. Method This is a cross-sectional study was conducted in medical and surgical wards in hospitals affiliated to Guilan University of Medical Sciences. 185 nurses participated in the study. A number of selected medical devices were labeled with quick response codes containing educational content. The eligible nurses were instructed how to use the QR codes. After two months, they were asked to complete a questionnaire adapted from the technology acceptance model 3. SPSS 21 software was used to analyze the data. Results 166 nurses and 19 head nurses with mean age of 34.26 ± 8.17 years and mean work experience of 10.46 ± 7.64 years completed the questionnaires. Most participants were female, married, with a bachelor’s degree, worked on rotating shifts, in medical wards. The findings showed that the acceptance of the quick response code as a learning tool was at a moderate level (M = 66.1, SD = 16.6). Statistically, there was no significant relationship between nurses’ demographic characteristics and the total acceptance rate (P > 0.05). However, the analyses at the multivariate level, using multiple linear regression, showed a significant superiority of the total acceptance score in head nurses compared to nurses (b = 7.97, P = 0.047) and in nurses who had previous experience of using quick response codes, compared to colleagues without such experience (b = 5.18, P = 0.036). Based on the coefficient of determination, only 6.1% of the changes in the total acceptance score of quick response codes of nurses are explained by their personal-occupational characteristics (R2 = 0.061). Conclusions The provision of QR code requirements such as necessary infrastructure and training by the health authorities could increase the acceptance of this tool as a microlearning measure.

QR codes have been used in various industries for many years, but their capabilities in education and learning have received less attention. As a technology that can create instant access to vast information, QR codes have significant potential for use in busy clinical environments. This rapid review could potentially prevent many errors by the healthcare team. Understanding the importance of using such a simple and low-cost technology, along with the high levels of stakeholder acceptance, can lead to a fundamental change in learning methods.
Our team's effort has been focused on assessing nurses' acceptance of using QR codes to learn how to operate medical devices, which you can read about. I eagerly await your feedback.

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Medical Education
Humanities and Social Sciences > Education > Professional and Vocational Education > Medical Education
Nursing Education
Life Sciences > Health Sciences > Nursing > Nursing Education
Nursing
Life Sciences > Health Sciences > Nursing
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