ArticleBMC medical education2024
Adoption of quick response codes as a digital microlearning tool among clinical nurses: a quasi-experimental study.
Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- QR Codes in medical education: A mixed-method for evaluation of effectiveness and learner perception.Bioinformation · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
methodThis 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.
results166 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 (R
conclusionsThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.