Evidence map›Paper›PMID 40624538›Full record

ArticleBMC nursing2025

Integrating transformative learning theory in synchronous E-learning in musculoskeletal pain education among primary care nurses: a randomized study.

Khim Siong Ng, Zhi Yin Tang, Pang Nee Frida Wong, Joo Ling Joanne Chua, Li Lin Lydia Goh, Yi Ling Eileen Koh, Kim Hwee Koh

Registry-linked trialAbstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05589311 (Transformative Learning to Virtual Inter-Professional Education in Musculoskeletal Pain), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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.

NCT05589311 naunknown statusnot on this map

Transformative Learning to Virtual Inter-Professional Education in Musculoskeletal Pain: A Randomised Trial

TypeinterventionalSponsorSingHealth PolyclinicsRan2022 to 2023Enrolled300ConditionsMusculoskeletal PainArmsTransformative Learning principles, Conventional didactic approach
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

7 authors.

Khim Siong NgDepartment of Physiotherapy, SingHealth Polyclinics - Head Office, 167 Jalan Bukit Merah Connection One (Tower 5), #15-10, Singapore, 150167, Singapore. Ng.khim.siong@singhealth.com.sg.
Zhi Yin TangDepartment of Physiotherapy, SingHealth Polyclinics - Head Office, 167 Jalan Bukit Merah Connection One (Tower 5), #15-10, Singapore, 150167, Singapore.
Pang Nee Frida WongDepartment of Nursing, SingHealth Polyclinics - Sengkang, 2 Sengkang Square, #01-06, Singapore, 545025, Singapore.
Joo Ling Joanne ChuaDepartment of Pharmacy, SingHealth Polyclinics - Head Office, 167 Jalan Bukit Merah Connection One (Tower 5), #15-10, Singapore, 150167, Singapore.
Li Lin Lydia GohDepartment of Pharmacy, SingHealth Polyclinics - Head Office, 167 Jalan Bukit Merah Connection One (Tower 5), #15-10, Singapore, 150167, Singapore.
Yi Ling Eileen KohDepartment of Research, SingHealth Polyclinics - Head Office, 167 Jalan Bukit Merah Connection One (Tower 5), #15-10, Singapore, 150167, Singapore.
Kim Hwee KohFamily Medicine, SingHealth Polyclinics - Pasir Ris, 6 Pasir Ris Dr 8, #1M-01, Singapore, 519466, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSynchronous E-learning has been used in Continuing Professional Education (CPE) to teach nurses about musculoskeletal (MSK) pain, but it is insufficient to achieve deeper conceptualization. Hence, we applied Transformative Learning Theory (TLT) to complement the CPE. This study aimed to assess the effectiveness of the TLT-design CPE and explore the learners' experience of transformative learning in synchronous E-learning.

methodsA multicenter randomized controlled trial design was employed. Participants received synchronous E-learning CPE, either in the TLT-design workshop (intervention group) or in the usual didactic workshop (control group). Data collection was conducted before, immediately after, and one month after the workshop. We used validated outcome measures, namely, Neurophysiology of Pain Questionnaire (NPQ), Management Advice Vignette (MAV), and Health Care Pain Attitudes and Impairment Relationship Scale (HC-PAIRS). Additionally, narrative comments and feedback were gathered. Baseline comparisons were assessed using independent t-tests and repeated measures ANOVA for the three time points. Generalized Estimating Equations (GEE) were used for intention-to-treat analysis, incorporating multiple covariates. Significance was set at p < 0.05. Cohen's d was reported as a measure of effect size.

resultsBoth groups showed significant improvements, and the effects were sustained after one month. However, the GEE model showed that the intervention group had significantly improved scores in NPQ compared to the control group (p = 0.006). In addition, the intervention group performed significantly better in MAV (p = 0.008, d = 0.528) and HC-PAIRS (p = 0.046, d=-0.390) after one month. Participants' narrative comments and feedback supported the transformative learning experience. They also expressed a preference for face-to-face teaching, shorter didactic sessions, and more interactive activities of longer duration.

conclusionsSynchronous E-learning is effective for teaching MSK pain. When enhanced with TLT design, learners showed significant and sustained improvements. Deliberate application of TLT strategies should be considered in pain education. Practical recommendations are provided to further enhance the teaching of MSK pain. Additional strategies should be explored to reinforce the learning of pain knowledge.

trial registrationRegistered on ClinicalTrials.gov registry (NCT05589311) on 21 October 2022. First recruitment was on 24 October 2022.

Indexed as

MusculoskeletalNursesPainPrimary careSynchronous E-learningTransformative learning

Identifiers

PMID40624538
PMCPMC12232809

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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.