Why 43% of Physiotherapy Care Is Non-Recommended — and What Clinics Can Do About It

A stark reality faces the physiotherapy profession: up to 43% of MSK care delivered in clinical practice doesn't align with current evidence-based guidelines. This isn't about incompetent clinicians — it's about a systematic gap between what research demonstrates works and what happens in real-world treatment rooms across the UK.

The implications extend beyond individual patient outcomes. Non-recommended care creates inconsistent service delivery, unpredictable patient experiences, and defensibility problems when outcomes don't meet expectations. For clinic owners and practice managers, this variability translates directly into operational challenges: harder to staff consistently, difficult to price services confidently, and challenging to demonstrate value to commissioners.

Understanding why this happens — and what clinics can do about it — starts with examining where evidence-practice gaps occur most frequently and identifying the measurement systems that can bridge them.

Where Evidence-Practice Gaps Occur Most Frequently

The divergence between recommended care and actual practice isn't random. Specific areas show consistent patterns of variation, often where clinical decision-making relies heavily on subjective assessment rather than objective measurement.

Post-surgical rehabilitation represents one of the most variable areas. Research consistently demonstrates specific protocols for optimal recovery, yet implementation varies dramatically between clinicians and clinics. For anterior cruciate ligament reconstruction, studies show that early implementation of open kinetic chain exercises can safely accelerate functional recovery when introduced with proper progression criteria (Fontanier et al., 2025). However, many clinicians still avoid these exercises entirely during early rehabilitation phases, defaulting to overly conservative approaches that may delay optimal recovery.

Similarly, blood flow restriction training has robust evidence supporting its use in various MSK conditions, with systematic reviews demonstrating significant strength and muscle mass gains when applied correctly (Hughes et al., 2017). Yet adoption remains inconsistent, often because clinicians lack confidence in the specific parameters — pressure levels, duration, and progression criteria — that distinguish effective from potentially harmful application.

Chronic pain management shows another consistent gap. For conditions like subacromial bursitis, research demonstrates that combined physiotherapy and corticosteroid injection approaches often outperform either intervention alone (Hsieh et al., 2023). However, many physiotherapy clinics operate in isolation from medical colleagues, missing opportunities for coordinated care that could improve outcomes.

The pattern is clear: gaps occur most frequently where treatment decisions require precise parameter selection, coordinated care pathways, or confidence in progressing patients through protocols that feel clinically aggressive but are evidence-supported.

The Measurement Problem: Why Subjective Assessment Drives Variation

The root cause of evidence-practice gaps often lies in how clinicians make treatment decisions. When assessment relies primarily on subjective methods — manual muscle testing, pain scales, and clinical impression — treatment choices become highly variable between practitioners.

Consider knee extension strength assessment after ACL reconstruction. Research provides specific benchmarks for return-to-sport clearance, typically requiring 90% strength symmetry between limbs. However, manual muscle testing cannot detect differences smaller than approximately 30-40%, meaning clinicians often progress patients based on incomplete strength data. This assessment limitation directly contributes to variable treatment timelines and inconsistent outcomes.

The same pattern applies across MSK conditions. Shoulder rotation strength ratios predict injury risk and guide return-to-activity decisions, but these ratios cannot be accurately assessed without measurement tools. Hip strength imbalances correlate with groin injury rates in athletes, yet manual testing cannot quantify the specific deficits that research identifies as significant.

Digital physiotherapy platforms have attempted to address some measurement limitations, with studies showing comparable outcomes to conventional face-to-face care for certain conditions like chronic shoulder pain (Pak et al., 2023). However, these solutions often focus on exercise delivery rather than addressing the fundamental assessment and progression challenges that drive treatment variation.

The measurement problem creates a cascade effect: imprecise assessment leads to imprecise treatment selection, which leads to variable outcomes, which reinforces clinician uncertainty about evidence-based protocols. Breaking this cycle requires assessment methods that provide the objective data necessary for confident evidence-based decision-making.

Protocol Adherence: Why Good Intentions Aren't Enough

Even when clinicians understand evidence-based protocols, implementation often drifts from recommended parameters. This drift isn't about negligence — it's about the practical challenges of maintaining protocol fidelity in busy clinical environments.

Rehabilitation after total knee arthroplasty illustrates this challenge. Systematic reviews demonstrate that early, structured physiotherapy significantly improves quality of life, pain outcomes, and range of motion recovery (Aftab et al., 2025). The evidence clearly supports specific timing, frequency, and progression criteria. Yet real-world implementation shows significant variation in when therapy starts, how often patients are seen, and how quickly exercises are progressed.

The variation often stems from legitimate clinical concerns. Without objective measures of patient progress, clinicians naturally err toward conservative approaches. A patient reporting increased pain during exercise progression might be experiencing normal adaptation stress or genuine tissue irritation. Manual assessment methods cannot reliably distinguish between these scenarios, leading to inconsistent progression decisions.

Home exercise programs present another protocol adherence challenge. Research demonstrates that supervised physiotherapy often outperforms home-based approaches, with studies showing superior outcomes for conditions like distal radius fractures when exercises are properly supervised and progressed (Gutiérrez-Espinoza et al., 2024). However, resource constraints often force clinics toward home program models without the measurement systems necessary to monitor compliance and adjust progression remotely.

Blood flow restriction training provides a clear example of how measurement precision affects protocol adherence. The technique shows excellent results when applied with specific pressure parameters and progression protocols (Colombo et al., 2024). However, without precise pressure monitoring and clear progression criteria, clinicians often avoid the technique entirely rather than risk improper application.

Effective protocol adherence requires three elements: clear progression criteria, objective measurement of patient response, and confidence that the protocol parameters are being met consistently. When any of these elements is missing, protocol drift becomes inevitable.

Building Systems for Evidence-Based Practice

Addressing the evidence-practice gap requires systematic changes to how clinics approach assessment, treatment selection, and progression monitoring. Individual clinician education, while valuable, cannot solve problems that stem from inadequate measurement infrastructure.

The foundation of any systematic approach is standardised, objective assessment. This doesn't require expensive equipment — simple force measurement tools can provide the strength data necessary for evidence-based progression decisions. The key is implementing assessment protocols that generate comparable data across clinicians and patient sessions.

For post-surgical rehabilitation, this means establishing baseline measurements that can track recovery against evidence-based milestones. Rotator cuff repair rehabilitation, for example, benefits from protocols that progress based on objective strength and range of motion criteria rather than time-based assumptions (Bandara et al., 2021). When clinicians can measure these parameters reliably, protocol adherence improves significantly.

Treatment selection becomes more consistent when assessment data clearly indicates which evidence-based approaches apply to each patient. Meniscus repair rehabilitation follows different protocols than meniscectomy rehabilitation (Harput et al., 2020), but these distinctions only matter if assessment can accurately categorise patient presentation and track response to intervention.

Documentation systems should capture the objective data necessary to demonstrate evidence-based decision-making. This serves both clinical and business purposes: clinicians can justify their treatment choices with data, and clinics can demonstrate consistent, defensible care to commissioners and patients.

Training approaches should focus on interpreting objective data rather than refining subjective assessment skills. When clinicians understand how to use measurement tools to guide evidence-based protocols, treatment variation decreases naturally. The goal is not to replace clinical judgment but to provide the objective data that makes clinical judgment more accurate and defensible.

Implementation Without Disrupting Patient Flow

The practical challenge facing most clinics is implementing better measurement and protocols without disrupting established patient flow or requiring significant capital investment. The solution lies in integrating objective assessment into existing appointment structures rather than adding separate testing sessions.

Start with conditions where objective measurement most clearly improves outcomes. Post-surgical patients typically expect more structured rehabilitation approaches, making them ideal candidates for implementing measurement-based protocols. The objective data helps justify longer or more frequent sessions when indicated, often improving both clinical outcomes and service revenue.

Focus on assessment tools that provide immediate clinical value. Strength measurement that guides exercise prescription serves patient care directly while generating the data necessary for evidence-based progression. Range of motion measurement that tracks surgical recovery provides clear value to patients, surgeons, and physiotherapists.

Build measurement into treatment sessions rather than creating separate assessment appointments. Modern measurement tools can be integrated into exercise sessions, providing both intervention and assessment data simultaneously. This approach maximises efficiency while ensuring consistent data collection.

Use objective data to demonstrate value to stakeholders. Commissioners increasingly expect evidence-based care delivery, and objective outcome data provides clear demonstration of service quality. Patient satisfaction often improves when they can see measurable progress, even if subjective symptoms fluctuate.

Train staff gradually on specific protocols rather than attempting comprehensive system overhauls. Start with one or two conditions where evidence-based protocols are clearest and most impactful. Build confidence and competence systematically before expanding to additional areas.

Consider how measurement systems can support business objectives beyond clinical care. Consistent outcome data helps with pricing discussions, staff development, and service planning. When clinics can demonstrate predictable, evidence-based outcomes, they can price and deliver services more confidently.

Making Evidence-Based Care the Default Option

The ultimate goal is creating clinical systems where evidence-based care becomes the path of least resistance rather than an additional burden. This requires aligning measurement capabilities, clinical protocols, and operational procedures around common evidence-based pathways.

Benchmark PS addresses these challenges by providing physiotherapy clinics with standardised measurement protocols that integrate seamlessly into existing practice workflows. Our pilot data shows that when clinicians have access to objective assessment tools and evidence-based progression criteria, treatment variation decreases significantly while outcomes improve. The result is more defensible, consistent care that serves both patient and business objectives effectively.

If your clinic is ready to reduce treatment variation and implement more evidence-based protocols, we'd be happy to discuss how objective measurement can support your clinical and operational goals.

References

1. Fontanier V, Vergonjeanne M, Eon P et al. Effect of open kinetic chain exercises during the first weeks of anterior cruciate ligament reconstruction rehabilitation: A systematic review and meta-analysis. Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine. 2025;72:95-108. PubMed
2. Hughes L, Paton B, Rosenblatt B et al. Blood flow restriction training in clinical musculoskeletal rehabilitation: a systematic review and meta-analysis. British journal of sports medicine. 2017;51(13):1003-1011. PubMed
3. Hsieh LF, Kuo YC, Huang YH et al. Comparison of corticosteroid injection, physiotherapy and combined treatment for patients with chronic subacromial bursitis - A randomised controlled trial. Clinical rehabilitation. 2023;37(9):1189-1200. PubMed
4. Pak SS, Janela D, Freitas N et al. Comparing Digital to Conventional Physical Therapy for Chronic Shoulder Pain: Randomized Controlled Trial. Journal of medical Internet research. 2023;25:e49236. PubMed
5. Aftab S, Ali HN, Saeed B et al. Early Physiotherapy for Post-Total Knee Arthroplasty Recovery: A Systematic Review of Randomized Controlled Trials on Quality of Life, Pain, and Range of Motion Outcomes. Musculoskeletal care. 2025;23(3):e70158. PubMed
6. Gutiérrez-Espinoza H, Gutiérrez-Monclus R, Román-Veas J et al. Effectiveness of supervised physiotherapy versus a home exercise program in patients with distal radius fracture: a randomized controlled trial with a 2-year follow-up. Physiotherapy. 2024;124:93-100. PubMed
7. Colombo V, Valenčič T, Steiner K et al. Comparison of Blood Flow Restriction Interventions to Standard Rehabilitation After an Anterior Cruciate Ligament Injury: A Systematic Review. The American journal of sports medicine. 2024;52(14):3641-3650. PubMed
8. Bandara U, An VVG, Imani S et al. Rehabilitation protocols following rotator cuff repair: a meta-analysis of current evidence. ANZ journal of surgery. 2021;91(12):2773-2779. PubMed
9. Harput G, Guney-Deniz H, Nyland J et al. Postoperative rehabilitation and outcomes following arthroscopic isolated meniscus repairs: A systematic review. Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine. 2020;45:76-85. PubMed