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Clinical Reasoning for Musculoskeletal Practice

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Introduction

Clinical reasoning is an essential skill for physiotherapists and other healthcare professionals. It encompasses the thought processes and decision-making required to solve clinical problems and build patient rapport. It is an interactive process that prompts healthcare professionals to make sound judgements based on the specific clinical context and the individual patient.[1] Proficiency in clinical reasoning is critical for minimising errors and ensuring patient safety.[2]

Clinical Reasoning Definition and Components

Clinical reasoning is "the sum of the thinking and decision-making processes associated with clinical practice (…) it enables practitioners to take “wise” action, making the best-judged action in a specific context."[3]

Through clinical reasoning, the therapist considers various factors that may be influencing a patient's presentation. This includes generating hypotheses about the underlying causes of the patient's condition or limitations. The therapist works collaboratively with the patient, their family, and other healthcare professionals to identify meaningful goals and appropriate management strategies.[4]

This optional video provides a good introduction to clinical reasoning:

[5]

Why Clinical Reasoning Matters

A rigorous clinical reasoning process is essential to maintain clinical focus and ensure appropriate consideration of red flags and serious pathology.[6] How a therapist reasons through their findings can strongly influence their clinical decisions.[7]

Medical Diagnoses vs Mechanical/Movement Diagnoses

One of the most important principles in clinical reasoning for musculoskeletal physiotherapists is recognising that a medical or pathoanatomical diagnosis alone does not provide a complete picture of a patient's presentation—it does not equal a mechanical or movement diagnosis. This distinction has important implications for how physiotherapists interpret and apply research evidence.[8]

Example: five patients may share the same pathoanatomical diagnosis, but the underlying mechanical cause of their symptoms or functional limitations can differ. Applying a single treatment based solely on the shared diagnosis is unlikely to benefit every person in the group, as it has not been appropriately matched to each person's specific presentation.[8]

Clinical Reasoning and Research Evidence

High-quality evidence, such as systematic reviews, meta-analyses, and randomised controlled trials, should always be the first point of reference and should guide clinical practice.[9]

A useful hierarchy for evidence application in practice is as follows:[8]

  • start with high-level literature directly applicable to the condition
  • if that is limited, draw on high-level literature from similar patient populations, conditions, or tissue types
  • use evidence from related areas to inform reasoning by analogy

However, understanding the limitations of diagnosis-based research is also an important part of the clinical reasoning process. Randomised controlled trials (RCTs) aim to establish cause and effect.[10] When a study recruits patients based on a medical diagnosis, it may unintentionally include a heterogeneous mix of mechanical presentations. This may mean that real treatment effects are missed when the right treatment is not matched to the right subgroup.[8] In practice, the clinician must carefully match any researched treatment to the individual patient's presentation. If the treatment does not address the specific cause of the patient's symptoms, it may not be effective.[8]

When high-level evidence for a specific presentation is limited, sound anatomical and biomechanical knowledge, combined with clinical experience, forms the basis for clinical decision-making. The goal is always to identify the specific factors driving the individual patient's presentation.[8]

Clinical Reasoning Process

Clinical reasoning is a cognitive process that begins from the first moment of patient contact and continues throughout every interaction.[11] [12] Even before formal assessment begins, the patient's behaviour offers valuable clinical information. Data collection does not end with the initial assessment, but continues across all subsequent sessions.

Key Dimensions of Clinical Reasoning

Higgs and Jones (2008) describe three core processes that underpin clinical reasoning:[13]

  • Knowledge: the clinician's knowledge of anatomy, physiology, pathology, and relevant evidence
  • Cognition: the active thinking and analytical processes applied to clinical data
  • Metacognition: an awareness of one's own thinking process, including recognising biases and blind spots[14]

Clinical reasoning must holistically integrate patient values and preferences, ensuring that the proposed management plan aligns with what the individual deems important and acceptable. This necessitates a detailed exploration of their beliefs, goals, expectations, and any prior experiences with healthcare that might influence their current presentation and engagement.[15]

Reflection after each session helps therapists recognise patterns. Over time, this process of reflection strengthens clinical reasoning.[6]

Hypothetico-Deductive Reasoning

Figure 1: Hypothetico-deductive model of Clinical Reasoning (Jones,1995).
Hypothetico-deductive reasoning.

A common form of clinical reasoning in physiotherapy is hypothetico-deductive reasoning.[16] Within this model, the clinician gathers initial clues from the subjective assessment and forms their initial hypotheses. Further information is collected through the objective assessment, which may confirm or refute the initial hypotheses. This process is ongoing; the hypothesis continues to be refined throughout treatment and reassessment.[17]

An effective approach is to begin with a broad list of possible contributing factors. This list is systematically refined as assessment data accumulates. The clinician prioritises clinical findings that either support or negate each hypothesis, taking into account the patient's age, activity level, history, and presentation.[18] Data gathered across sessions should continually inform and refine the therapist's understanding of the patient's presentation.[6]

Example: the same movement limitation in a 20-year-old and a 60-year-old patient is likely to have different underlying causes. In hypothetico-deductive reasoning, the hypothesis should always evolve based on the patient and their presentation.[8]

Dual Process Theory

Another model used in clinical reasoning is the Dual Process Theory. This theory suggests that there are two distinct cognitive processes:[19][20]

  • Type 1: intuitive, fast, unconscious: more error-prone
  • Type 2: slower, analytical and reflective: more error-resistant

Clinicians may shift between these two processes, depending on the clinical situation.

Pattern Recognition

Difference in clinical reasoning between expert and novice therapists.[21]

Pattern recognition is an important part of clinical reasoning; however, it is naturally less developed in students and newly qualified physiotherapists.[6][21]

The differences between novice and expert therapists in the clinical reasoning process are well recognised.[21] While the overall process is similar, expert therapists acquire cues more efficiently, generate more targeted hypotheses, and more quickly move toward treatment decisions. Novice therapists typically have a smaller knowledge base and less developed pattern recognition. Thus, they must work more methodically through each stage, typically generating a greater number of potential hypotheses before reaching a conclusion.[22][6]

Patient Involvement in the Clinical Reasoning Process

Effective clinical reasoning requires active patient involvement throughout the process.[6] The patient's understanding of their problem, their goals, and their clinical presentation should all inform the clinician's reasoning. This shared approach leads to more accurate hypotheses and management plans that are more likely to be effective and adhered to.

Patient involvement in the clinical reasoning process.[6]

In a collaborative clinical reasoning model, the patient is actively involved at every stage. They provide information, receive explanation and reassurance and engage with the evolving understanding of their problem. This approach supports the development of self-management strategies and increased self-efficacy.[23]

Translating Clinical Reasoning into Treatment

In musculoskeletal practice, interventions broadly aim to achieve four goals: reducing pain, reducing load on the injured area, increasing load tolerance of the injured area, and improving function. Clinical reasoning informs which of these is the priority at any given stage, and which specific interventions are most likely to be effective.[8]

It is not always possible to identify clear, logical connections between signs, symptoms, and specific functional diagnoses. When clear answers and ready explanations are unavailable, becoming comfortable with the grey areas of clinical practice is an important part of compassionate and effective physiotherapy practice.[24]

Matching Interventions to Mechanical Cause

Treatment efficacy depends on matching the right intervention to the correct underlying mechanical cause. A treatment that is highly effective for one mechanical presentation may be ineffective for another. This is why a thorough assessment and systematic clinical reasoning process must precede treatment selection, not follow it.[25]

When a mechanical impairment is identified, it should be treated in a way that directly connects to the patient's functional goals. If the clinician cannot clearly explain to themselves or their patient why a particular finding is relevant to their presenting problem, it may not be worth prioritising.[26]

For any treatment selected, the clinician should be able to answer: What mechanical impairment am I targeting? Why do I believe this impairment is contributing to this patient's symptoms? What is the expected effect of my intervention on both the impairment and the patient's function? If they cannot clearly articulate this chain of reasoning, the assessment should be revisited.[8]

Recovery Pyramid

A Framework for Clinical Decision-Making

The following framework can help organise clinical decisions in musculoskeletal physiotherapy. Each level should generally be addressed before progressing to the next:[8]

  • Pain and inflammation: Acute or significant pain should be addressed first through modalities, pain education, load modification, and time.
  • Mobility (passive range of motion): Assess whether the tissues and joints have the available range required for function. Identify and address any restrictions.
  • Motor control: Assess whether the patient can effectively use their available range. Address neuromuscular coordination and movement patterns.
  • Strength: Progress to targeted strengthening once mobility and motor control are adequate.
  • Function: Rebuild the specific activities the patient needs to perform, with appropriate volume, load, and frequency.

Respecting Medical Diagnosis and Recognising Scope

Mechanical and movement-based reasoning should always be applied within the boundaries set by the patient's medical diagnosis and pathology. Serious pathology, structural compromise, and systemic conditions must be identified and appropriately managed before a mechanical approach is considered.[8]

Red flags must be screened systematically. When clinical findings do not fit together as expected within a mechanical framework, alternative explanations must be considered. Being alert to what does not fit the pattern is as important as recognising what does.[27]

No single clinical reasoning framework covers every presentation. Common and high-impact impairments should form the core of a clinician's reasoning, but clinicians should remain open to less common findings that may be the key factor for an individual patient.[22]

Clinical Reasoning and Patient Outcomes

Some patients will improve regardless of the specific treatment provided, and a small proportion will require more invasive management regardless of physiotherapy input. However, there is a substantial group of patients whose outcome is directly influenced by the accuracy of the clinician's reasoning and how well the treatment is matched to their individual presentation. It is within this group that refined clinical reasoning has its greatest impact.[8]

Clinicians who systematically assess, generate targeted hypotheses, match interventions to specific mechanical causes, and continuously reassess their reasoning tend to achieve substantially better outcomes than those who apply a one-size-fits-all protocol.[8]

When applying new clinical reasoning frameworks in practice, clinicians must avoid attempting to integrate everything at once. Focus on one area at a time, develop confidence through clinical application, then progress to the next component. Gradual, systematic integration is more effective than trying to change everything at once.[8]

Summary of Key Principles of Clinical Reasoning

References

  1. ↑ Gummesson C, Sundén A, Fex A. Clinical reasoning as a conceptual framework for interprofessional learning: a literature review and a case study. Physical Therapy Reviews. 2018 Jan 2;23(1):29-34.
  2. ↑ Abrandt Dahlgren M, Valeskog K, Johansson K, Edelbring S. Understanding clinical reasoning: A phenomenographic study with entry-level physiotherapy students. Physiotherapy Theory and Practice. 2022 Nov 18;38(13):2817-26.
  3. ↑ Higgs J, Jones M. Clinical decision making and multiple problem spaces. In: Higgs J, Jones MA, Loftus S, Christensen N. Clinical reasoning in health professions. Amsterdam: Elsevier, 2008. p.4-19.
  4. ↑ Atkinson HL, Nixon-Cave K. A tool for clinical reasoning and reflection using the international classification of functioning, disability and health (ICF) framework and patient management model. Phys Ther. 2011 Mar;91(3):416-30.
  5. ↑ Rahul Patwari Clinical reasoning Available from:https://www.youtube.com/watch?v=6DzeF8hCNb8&app=desktop (last accessed 3.3.2020)
  6. ↑ 6.0 6.1 6.2 6.3 6.4 6.5 6.6 Smart K, Doody C. The clinical reasoning of pain by experienced musculoskeletal physiotherapists. Manual therapy. 2007 Feb 1;12(1):40-9.
  7. ↑ Eells TD, Lombart KG, Salsman N, Kendjelic EM, Schneiderman CT, Lucas CP. Expert reasoning in psychotherapy case formulation. Psychother Res. 2011 Jul;21(4):385-99.
  8. ↑ 8.00 8.01 8.02 8.03 8.04 8.05 8.06 8.07 8.08 8.09 8.10 8.11 8.12 8.13 Kaplan A. Building Better Shoulder Interventions Through Clinical Reasoning Course. Physiopedia Plus, 2026.
  9. ↑ Gopalakrishnan S, Ganeshkumar P. Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare. J Family Med Prim Care. 2013 Jan;2(1):9-14.
  10. ↑ Braga LH, Farrokhyar F, Dönmez Mİ, Nelson CP, Haid B, Herbst K, Garriboli M, Cascio S, Nieuwhof-Leppink A, Kaefer M, Bägli DJ. Randomized controlled trials–The what, when, how and why. Journal of pediatric urology. 2025 Apr 1;21(2):397-404.
  11. ↑ Richards JB, Hayes MM, Schwartzstein RM. Teaching clinical reasoning and critical thinking: from cognitive theory to practical application. Chest. 2020 Oct 1;158(4):1617-28.
  12. ↑ Cunha L, Ventura F, Pestana-Santos M, Mota M, Lomba L, Santos MR. Decision support strategies for bedside nursing clinical reasoning: a scoping review. International Journal of Nursing Studies Advances. 2025 Jul 29:100393.
  13. ↑ Prenton S, Dugdill S, Hollingworth L. Chapter 5 - Reflection. In Porter SB, editor. Tidy's Physiotherapy (Fifteenth Edition). Churchill Livingstone, 2013. p67-82.
  14. ↑ Wang F, Liu D, Zhang M. Metacognitive processes, situational factors, and clinical decision-making in nursing education: a quantitative longitudinal study. BMC Medical Education. 2024 Dec 26;24(1):1530.
  15. ↑ Tringale M, Stephen G, Boylan AM, Heneghan C. Integrating patient values and preferences in healthcare: a systematic review of qualitative evidence. BMJ Open. 2022 Nov 18;12(11):e067268.
  16. ↑ Ahmed F, Rahman MH, Rahman E, Das SK, Haque MO. AApplication of Hypothetico-Deductive Reasoning Process for Physiotherapy Management of a Case with Meniscus Injury. Journal of Rehabilitation Sciences & Research. 2025 Sep 1;12(3):32-6.
  17. ↑ Edwards I, Jones M, Carr J, Braunack-Mayer A, Jensen GM. Clinical reasoning strategies in physical therapy. Phys Ther. 2004 Apr;84(4):312-30; discussion 331-5.
  18. ↑ Richards JB, Hayes MM, Schwartzstein RM. Teaching clinical reasoning and critical thinking: from cognitive theory to practical application. Chest. 2020 Oct 1;158(4):1617-28.
  19. ↑ Bellini-Leite SC. Dual process theory: embodied and predictive; symbolic and classical. Front Psychol. 2022 Mar 21;13:805386.
  20. ↑ Norman G, Pelaccia T, Wyer P, Sherbino J. Dual process models of clinical reasoning: The central role of knowledge in diagnostic expertise. J Eval Clin Pract. 2024 Aug;30(5):788-796.
  21. ↑ 21.0 21.1 21.2 Doody C, McAteer M. Clinical reasoning of expert and novice physiotherapists in an outpatient orthopaedic setting. Physiotherapy. 2002;88(5):258-268.
  22. ↑ 22.0 22.1 Shin HS. Reasoning processes in clinical reasoning: from the perspective of cognitive psychology. Korean journal of medical education. 2019 Nov 29;31(4):299.
  23. ↑ Maxwell C, Salsberg J, Robinson K, Desmeules F, Lowry V, Tetreault C, McCreesh K. Fostering Adherence to Evidence-Based Care in the Management of Musculoskeletal Shoulder Pain: A Mixed-Methods Study. Physical Therapy. 2025 Mar;105(3):pzae176.
  24. ↑ Chowdhury A, Bjorbækmo WS. Clinical reasoning—embodied meaning-making in physiotherapy. Physiotherapy Theory and Practice. 2017 Jul 3;33(7):550-9.
  25. ↑ Wilcox G, Schroeder M, Drefs MA. Clinical Reasoning: A Missing Piece for Improving Evidence-Based Assessment in Psychology. J Intell. 2023 Jan 26;11(2):26.
  26. ↑ Davies B. The right not to know and the obligation to know. Journal of Medical Ethics. 2020 May 1;46(5):300-3.
  27. ↑ Storari L, Piai J, Zitti M, Raffaele G, Fiorentino F, Paciotti R, Garzonio F, Ganassin G, Dunning J, Rossettini G, Feller D, Heick JD, Mourad F, Maselli F. Standardized Definition of Red Flags in Musculoskeletal Care: A Comprehensive Review of Clinical Practice Guidelines. Medicina (Kaunas). 2025 May 28;61(6):1002.