Evidence map›Paper›PMID 41210067›Full record

ArticleCureus2025

Nationwide Evaluation of an Eight-Week Interactive Online Electrocardiogram Training Program for Nurses: A Quasi-experimental Approach.

Ankita Sharma, Ritu Rani, Vanita Kumari, Suman Dabas, Devanshi Chowdhary

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ankita SharmaNursing, All India Institute Of medical Sciences, Delhi, Delhi, IND.
Ritu RaniNursing, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Vanita KumariNursing, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Suman DabasNursing, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Devanshi ChowdharyNursing, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular deaths are the leading cause of mortality. Early ECG diagnosis and preventive measures could prevent mortality through timely intervention. Nurses as healthcare professionals can interpret and prompt early management of life-threatening arrhythmias.

objectiveThe present study aimed to provide an eight-week certificate course titled the Electrocardiogram Capacity Building Program for Nurses and assess their knowledge of ECG, arrhythmia management, and ECG interpretation skills following the learning activity. MATERIALS AND

methodsA quasi-experimental research design was selected. Eighty subjects were enrolled after a random allocation by a computer-generated randomization, and 16 hours of teaching and learning activity were carried out using an online platform. Pre-tests and post-tests were obtained using a standardized questionnaire.

resultsSignificant differences were observed between pre-test and post-test scores regarding participants' (N = 76) knowledge of ECGs and their ability to identify arrhythmias. A significant improvement was noted in knowledge of the ECG from a mean pre-test score of 12.30 ± 3.51 to a post-test score of 17.42 ± 3.64. After attending the course, the number of poor performers in ECG rhythm identification dropped sharply from 36 (46.9%) to 4 (5.8%), while the number of good performers improved from 3 (4.6%) to 30 (39%).

conclusionNo statistically significant association was found between the effectiveness of online training and demographic variables of the participants.

Indexed as

effectivenesselectrocardiogramnursesnursingonlinetraining

Identifiers

PMID41210067
PMCPMC12594508

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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.