ArticleNurse education today2022
Feasibility of using QR code for registration & evaluation of training and its ability to increase response rate - The learners' perception.
Article in Nurse education today, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 34 citations in OpenAlex.
- Automated Chemical Profiling of Wine by Solution NMR Spectroscopy: A Demonstration for Outreach and Education.Journal of chemical education · 2026Article
- Increasing Participation and Completion Rates in Questionnaire Surveys of Primary Care Patients: Cluster-Randomized Study.Interactive journal of medical research · 2025Article
- QR code technology in individual identification training provides an introduction in hands-on forensic DNA genotyping to medical students.BMC medical education · 2023Article
- Using QR Codes as a Form of eHealth to Promote Health Among Women in a Pandemic: Cross-sectional Study.JMIR human factors · 2022Article
- Using ELEFIGHTVaccines · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Taking learners' attendance and obtaining an evaluation of teaching is a routine activity performed by teachers. The traditional method of taking attendance using pen and paper posed a huge challenge during the COVID-19 pandemic. This has been time-consuming as compared to pre-COVID as well as frustrating for learners waiting in a queue for their turn to sign the register. Quick Response (QR) Codes were used to complete registration to buy back the time consumed using traditional methods of registration. Learners' evaluations are used as an instrument to evaluate teaching quality. At the researcher's workplace, a traditional paper-based evaluation method has been used for decades. However, over time a significant decrease in the response rate of evaluations was noticed. The pandemic provided an opportunity of using QR Codes to obtain learners' evaluation of teaching quality. This study assessed the learners' perception of using QR Codes for registration and evaluation, and the likelihood of learners completing the evaluation surveys, thus increasing the response rate. Participants of the study were asked to complete an electronic survey to help assess their perception of using QR Codes and a comparison was made between the responses gathered using paper-based evaluations over 5 months and QR Code evaluations over the same 5 months in the following year. The results of this study demonstrate that using QR Codes for registration and evaluation is easy and straightforward, thus increasing the likelihood of learners completing the evaluation. The comparison between paper-based and QR Code evaluations confirms that a substantial increase in response rate can be achieved by using QR Code evaluations.
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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.