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Record W4399139854 · doi:10.1186/s12891-024-07505-y

Appropriateness of exercise therapy delivery in chronic low back pain management: cross-sectional online survey of physiotherapy practice in Germany

2024· article· en· W4399139854 on OpenAlexaff
Lukas Kühn, Diane Rosen, Nils Lennart Reiter, Robert Prill, Kyung‐Eun Choi

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsMedicinePhysical therapySports medicineCross-sectional studyPsychological interventionNursing

Abstract

fetched live from OpenAlex

BACKGROUND: In Germany, exercise therapy represents the most commonly prescribed physiotherapy service for non-specific, chronic low back pain (NSCLBP). So far, little is known about current practice patterns of German physiotherapists in delivering this intervention. Thus, the aim of this study was to investigate the appropriateness of exercise therapy delivered to NSCLBP patients in German physiotherapy care and to identify practitioner-related drivers of appropriate exercise delivery. METHODS: We used a vignette-based, exploratory, cross-sectional, online-survey study design (76-items; data collection between May and July 2023). Eligible participants were required to hold a professional degree in physiotherapy and were required to be practicing in Germany. Access links to anonymous online surveys were spread via established German physiotherapy networks, educational platforms, social media, e-mail lists, and snowball sampling. Appropriateness of exercise therapy was calculated by an equally weighted total score (400 points) including scales on shared-decision-making, exercise dose selection, pain knowledge and self-management promotion. "Appropriate exercise delivery" was determined by a relative total score achievement of > 80%. "Partly appropriate exercise delivery" was determined by a relative total score achievement of 50-79%, and "inappropriate exercise delivery" by a score achievement of < 50%. Practitioner-related drivers of exercise appropriateness were calculated by bivariate and multiple linear regression analyses. RESULTS: 11.9% (N = 35) of 298 physiotherapists' exercise delivery was considered "appropriate", 83.3% (N = 245) was "partly appropriate", and 4.8% (N = 14) was "inappropriate". In the final multiple regression model, most robust parameters positively influencing appropriate delivery of exercise therapy were increased scientific literacy (B = 10.540; 95% CI [0.837; 20.243]), increased average clinical assessment time (B = 0.461; 95% CI [0.134; 0.789]), increased self-perceived treatment competence (B = 7.180; 95% CI [3.058; 11.302], and short work experience (B = - 0.520; 95% CI [-0.959; - 0.081]). CONCLUSION: Appropriate exercise delivery in NSCLBP management was achieved by only 11.9% of respondents. However, the vast majority of 95.2% of respondents was classified to deliver exercise therapy partly appropriate. Long work experience seemed to negatively affect appropriate exercise delivery. Positive influences were attributed to scientific literacy, the average clinical assessment time per patient as well as the perceived treatment competence in NSCLBP management. REGISTRATION: Open science framework: https://doi.org/10.17605/OSF.IO/S76MF .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.338
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2024
Admission routes1
Has abstractyes

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