Measurement Reliability in Clinical Range of Motion Assessments
Summary
Accurate assessment of joint range of motion (ROM) underpins both clinical decision-making and the evaluation of therapeutic interventions. Traditional instruments such as universal goniometers and digital inclinometers have long formed the cornerstone of these assessments. Over recent years, the drive for quantifiable, reproducible measures has led to more sophisticated approaches including three-dimensional motion capture systems, markerless human pose estimation via computer vision and smartphone-based goniometry applications. Reliable measurement requires minimising both systematic bias and random error, typically expressed through statistical indices of relative reliability—such as the intraclass correlation coefficient (ICC)—and absolute reliability, often represented by the minimal detectable change (MDC) and limits of agreement from Bland–Altman analysis. Inter-rater reliability indicates consistency between different examiners, while intra-rater reliability reflects consistency when the same examiner repeats a measure. Recent innovations aim to reconcile the need for precision with the practical constraints of clinical environments and remote rehabilitation. These technologies promise to improve access to objective ROM data, support longitudinal monitoring, and facilitate large-scale multicentre trials. However, adoption into routine practice hinges on robust evidence that new methods match or exceed the reliability and validity of established approaches across diverse patient populations and joint sites.
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Measurement Reliability in Clinical Range of Motion Assessments publication trend
The graph below shows the total number of articles in measurement reliability in clinical range of motion assessments across all publications each year (not limited to Nature Index journals).
Technical terms
Reliability: The extent to which repeated measurements under unchanged conditions yield the same results, comprising relative reliability (e.g. ICC) and absolute reliability (e.g. MDC).
Validity: The degree to which an instrument measures the construct it purports to assess, encompassing criterion validity against a gold standard.
Intraclass correlation coefficient (ICC): A statistical index of relative reliability quantifying agreement among quantitative measurements across raters or test sessions.
Minimal detectable change (MDC): The smallest change in a measurement that surpasses the expected variability from measurement error, indicating a true difference.
Markerless human pose estimation: A computer vision technique that identifies joint positions and angles from video input without the need for physical markers attached to the body.
References
- Reliability and validity of computer vision‐based markerless human pose estimation for measuring hip and knee range of motion. Healthcare Technology Letters (2025).
- Video-based Goniometer Applications for Measuring Knee Joint Angles during Walking in Neurological Patients: A Validity, Reliability and Usability Study. Sensors (2023).
- Reliability and validity of clinically accessible smartphone applications to measure joint range of motion: A systematic review. PLOS ONE (2019).
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