Trial reportBMC medical education2024
New learning technique based on real-time kinematic feedback from an inertial sensor for manual therapy in shoulder joint: a randomised trial.
Trial report in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02504710 (Kinematic Real-Time Feedback, Obtained by Inertial Sensors, Used to Learn Manual Therapy on Peripherical Joints), which is not on this map. Cited by 2 papers.
What it found
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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.
Kinematic Real-Time Feedback, Obtained by Inertial Sensors, Used to Learn Manual Therapy on Peripherical Joints
Who cites it
2 citing papers in PubMed.
- Article
- AI-navigated shoulder injection: precision, real-time learning and clinical translation.Frontiers in artificial intelligence · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReducing teacher subjectivity and checking skill corrections have an impact on the manual therapy learning, one of the most crucial components of physical therapy clinical practise. The aim of this study was to analyse the effectiveness of a kinematic real-time feedback strategy (KRTF) with an inertial sensor as a new methodology for the learning of glenohumeral joint mobilisation, comparing it with the traditional teaching method.
methodsThis study was a randomised trial. 59 undergraduate students without experience in manual therapy were randomised into two different groups (G1: Traditional methods group; G2: KRTF group). G1: students would practice the technique while an expert in manual therapy would supervise them. G2: could perform the mobilisation and observe the kinematic characteristics of the technique on a laptop. For the two movements that compose the mobilisation (angulation and translation), the result variables extracted were: maximum displacement, minimum displacement, area under the curve and the difference between the area under the curve of angulation and translation. In addition, the consistency of the measurement and reliability were calculated, too.
resultsSome significant differences were observed within groups, between groups and in the group x time interaction, the difference between the angulation and translation area. The synchronization of the movements in in the post comparison was better in G2 because the differences in the areas of both movements were significantly smaller (Mean Difference G1 vs. G2 = 1111.4°s (p > 0.05)).
conclusionsAfter comparing the kinematic variables recorded between the two intervention groups analysed in the present study, we observed that the kinematic registers were significantly different between the two groups, with a higher evolution in the KRTF group compared to the traditional learning method. The effectiveness of KRTF was proved over the traditional teaching methods in facilitating the learning process of the glenohumeral joint mobilisation. CLINICALTRIALS: GOV ID: NCT02504710, 22/07/2015.
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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.