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Record W4411891485 · doi:10.1186/s12909-025-07501-3

Entry to practice physiotherapy students’ use of the international IFOMPT cervical framework to inform clinical reasoning: a qualitative case study design

2025· article· en· W4411891485 on OpenAlexaff
Katie Kowalski, Heather Gillis, Paul Parikh, Katherine Henning, Jackie Sadi, Alison Rushton

Bibliographic record

VenueBMC Medical Education · 2025
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsWestern University
Fundersnot available
KeywordsMedical educationMedicineQualitative researchPhysical therapyMEDLINEClinical PracticeEntry LevelPsychologyMedical physics

Abstract

fetched live from OpenAlex

BACKGROUND: Developing clinical reasoning within entry to practice physiotherapy education is essential to safe and competent practice. For example, identifying the need for referral if the diagnostic process identifies red flags (e.g., serious spinal pathology). The International Federation of Orthopedic Manipulative Physical Therapists (IFOMPT) Cervical Framework supports evidence-based clinical reasoning in assessment and management of the cervical spine region, considering the potential for vascular pathology. OBJECTIVE: To explore the influence of the Framework on clinical reasoning processes of students enrolled in an entry to practice physiotherapy program. METHODS: The COnsolidated criteria for REporting Qualitative research informed the design and reporting of this qualitative think aloud case study using interpretive description. Participants (students enrolled in an entry to practice physiotherapy program) learned about the Framework through standardized teaching. Clinical reasoning was explored using two cervical spine cases. Elstein's diagnostic reasoning components and the Postgraduate Musculoskeletal Physiotherapy Practice model guided transcript coding and analysis. Thematic analysis employed a hybrid approach (inductive and deductive) to understand the use of the Framework at key steps in clinical reasoning processes. Multiple strategies enhanced trustworthiness (e.g., regular team debriefs, reflexive engagement). RESULTS: For all participants (n = 10), the Framework supported hypothetico-deductive clinical reasoning processes, reflecting a continuum of novice proficiency. The Framework informed generating a vascular hypothesis in the patient history and testing this hypothesis using patient history questions and appropriate physical examination tests. Variable sequences of logic and difficulties with cue interpretation and synthesis were common, leading to a lack of clarity and support for diagnosis and management for some students. Clinical reasoning processes were informed by variable depth and breadth of Framework knowledge and supported by limited personal characteristics (e.g., reflection on action). CONCLUSIONS: The Framework is a valuable learning resource in entry to practice physiotherapy education to initiate structured clinical reasoning processes for assessing and managing cervical spine presentations, considering the potential for vascular pathology. Owing to a continuum of novice clinical reasoning, using the Framework in entry to practice physiotherapy education requires tailoring to the level of the learner. Future research should explore students' perspectives of the value of the Framework to inform their clinical reasoning.

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)0.004
metaresearch head score (Gemma)0.624
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.624
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.107
GPT teacher head0.570
Teacher spread0.463 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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