Variability in Clinical Observations and Treatment Decisions Among Therapists for Knee Injury

https://doi.org/10.64943/ljmas.v3i4.185

Authors

  • Ibrahim Milad Jibril Mohammed Department of Movement Rehabilitation and Physical Therapy, Faculty of Physical Education, Almargab University, Al-Khums, Libya
  • AL Tihaml Abd elsalam Abdullah AL Talep Department of Movement Rehabilitation and Physical Therapy, Faculty of Physical Education, Almargab University, Al-Khums, Libya

Keywords:

knee Injury, Clinical Decision-Making, Physiotherapy, Inter-Rater Reliability, Treatment Variability, Knee Osteoarthritis, Rehabilitation

Abstract

Variability in how clinicians observe and treat knee injuries can impact patient outcomes and guideline adherence. We review literature on inter-clinician reliability and practice patterns. Studies report moderate-to-high agreement on specific physical tests (e.g., Lachman κ≈0.42-0.81), but notable differences in how therapists classify conditions and select treatments. Surveys indicate nearly all therapists use exercise for knee osteoarthritis, yet only ~34% plan post-discharge follow-up. Older therapists favor passive modalities (e.g., 19% use ultrasound). Chart reviews of postoperative rehab show large variations in visit counts and exercise types by setting. Qualitative studies reveal that many therapists tailor care based on symptoms and often use “non-core” modalities (like manual therapy) despite guideline focus on education/exercise. Key factors include training background, clinical setting, and patient factors. These findings suggest a need for stronger consensus and training to reduce unwarranted variability, while preserving individualized care.

Published

2025-10-04

How to Cite

Ibrahim Milad Jibril Mohammed, & AL Tihaml Abd elsalam Abdullah AL Talep. (2025). Variability in Clinical Observations and Treatment Decisions Among Therapists for Knee Injury. Libyan Journal of Medical and Applied Sciences, 3(4), 26–32. https://doi.org/10.64943/ljmas.v3i4.185

Issue

Section

Applied Science