Evidence map›Paper›PMID 39529163›Full record

ArticleChiropractic & manual therapies2024

The association between students' confidence and ability to modulate spinal manipulation force-time characteristics of specific target forces: a cross-sectional study.

Casper Nim, Nicole Smith, David Starmer, Simon Wang, Grand Choi, Akram Alayed, Jomana AlShareef, Angela Gnjatic, Keegan Sloan, Kitlyn Wong and 1 more

Abstract read
In one paragraph

Article in Chiropractic & manual therapies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Spinal manipulation/mobilization: past, present, future.Chiropractic & manual therapies · 2025
    Article
  4. Article
  5. Article
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

11 authors.

Casper NimMedical Research Unit, Spine Centre of Southern Denmark, University Hospital of Southern Denmark, Oestre Hougvej 55, 5500, Middelfart, Denmark. casper.nim@rsyd.dk.ORCID 0000-0001-5845-2622
Nicole SmithCanadian Memorial Chiropractic College, Toronto, ON, Canada.
David StarmerCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Simon WangCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Grand ChoiCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Akram AlayedCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Jomana AlShareefCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Angela GnjaticCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Keegan SloanCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Kitlyn WongCanadian Memorial Chiropractic College, Toronto, ON, Canada.
Martha FunabashiCanadian Memorial Chiropractic College, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal manipulative therapy (SMT) is a guideline-recommended care for musculoskeletal pain taught in various undergraduate programs. Visual feedback through force-sensing tables can improve modulation of SMT force-time characteristics and, potentially, students' confidence, both factors important for clinical competence and patient outcomes. However, it is unclear if a link exists between students' confidence and ability in SMT force-time modulation. We aim to investigate this relationship and whether it was moderated by experience.

methodsThis cross-sectional study recruited first- to third-year Canadian Memorial Chiropractic College students. Participants provided information about their confidence in performing SMT using different impulse forces of 200N, 400N, and 800N with a pre-established pre-load and a time-to-peak force < 150ms. SMT impulse forces of 200N, 400N, and 800N were targeted on a Human Analogue Mannequin positioned prone on a force-sensing table. We described the confidence levels and SMT force-time characteristics and assessed their association using linear mixed models. We re-ran the models interacting with SMT experience. The order of the three SMT impulse forces was randomly performed. Participants and outcome assessors were blinded to force-time characteristics recordings.

resultsOne-hundred-and-forty-nine participants provided usable data. Participants were confident in delivering 200N and 400N impulse forces. However, confidence decreased for 800N forces. Accordingly, participants performed impulse forces close to the 200N and 400N but had difficulty accurately modulating to 800N forces. A positive association was found between confidence and the ability to modulate their force-time characteristics, especially keeping the same pre-load force, keeping the time to peak force < 150ms, and providing the 800N impulse force. This association was not moderated by experience.

conclusionsStudents were more confident in their abilities to perform lower SMT forces but lacked confidence in their abilities to perform higher (800N) forces. This aligned with their skills, as many struggled to apply 800N force. However, students who had higher confidence levels generally performed better overall. There was substantial variability in SMT force-time characteristics, which may have implications for adverse events and patient satisfaction. Some of this variability could be attributed to students' confidence. Thus, further investigations are necessary in undergraduate settings to implement and optimize these findings. REGISTRATION: https://osf.io/6f7d5.

Indexed as

Clinical CompetenceManipulation, SpinalAdultCanadaChiropracticCross-Sectional StudiesFemaleHumansMaleYoung AdultConfidenceFeedbackForce-sensing tableSpinal manipulationTeaching

Identifiers

PMID39529163
PMCPMC11552172

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LicenceCC BY
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Registered trials

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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.