Validation of a photography-based goniometry method for measuring joint range of motion.

BACKGROUND A critical component of evaluating the outcomes after surgery to restore lost elbow motion is the range of motion (ROM) of the elbow. This study examined if digital photography-based goniometry is as accurate and reliable as clinical goniometry for measuring elbow ROM. MATERIALS AND METHODS Instrument validity and reliability for photography-based goniometry were evaluated for a consecutive series of 50 elbow contractures by 4 observers with different levels of elbow experience. Goniometric ROM measurements were taken with the elbows in full extension and full flexion directly in the clinic (once) and from digital photographs (twice in a blinded random manner). RESULTS Instrument validity for photography-based goniometry was extremely high (intraclass correlation coefficient: extension = 0.98, flexion = 0.96). For extension and flexion measurements by the expert surgeon, systematic error was negligible (0° and 1°, respectively). Limits of agreement were 7° (95% confidence interval [CI], 5° to 9°) and -7° (95% CI, -5° to -9°) for extension and 8° (95% CI, 6° to 10°) and -7° (95% CI, -5° to -9°) for flexion. Interobserver reliability for photography-based goniometry was better than that for clinical goniometry. The least experienced observer's photographic goniometry measurements were closer to the reference measurements than the clinical goniometry measurements. CONCLUSIONS Photography-based goniometry is accurate and reliable for measuring elbow ROM. The photography-based method relied less on observer expertise than clinical goniometry. This validates an objective measure of patient outcome without requiring doctor-patient contact at a tertiary care center, where most contracture surgeries are done.

[1]  A. Armstrong,et al.  Reliability of range-of-motion measurement in the elbow and forearm. , 1998, Journal of shoulder and elbow surgery.

[2]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[3]  H. van Mameren,et al.  Test-retest reproducibility of elbow goniometric measurements in a rigid double-blinded protocol: intervals for distinguishing between measurement error and clinical change. , 2007, Journal of shoulder and elbow surgery.

[4]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[5]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[6]  S. Shortell,et al.  Improving patient care by linking evidence-based medicine and evidence-based management. , 2007, JAMA.

[7]  J. M. Rothstein,et al.  Goniometric Reliability in a Clinical Setting , 1983 .

[8]  M. Haas The reliability of reliability. , 1991, Journal of manipulative and physiological therapeutics.

[9]  Jane M Blazeby,et al.  Challenges in evaluating surgical innovation , 2009, The Lancet.

[10]  M. Haas,et al.  Statistical methodology for reliability studies. , 1991, Journal of manipulative and physiological therapeutics.

[11]  D. Altman,et al.  Comparing methods of measurement: why plotting difference against standard method is misleading , 1995, The Lancet.

[12]  K. Strømsøe,et al.  Health and cost consequences of surgical versus conservative treatment for a comminuted proximal humeral fracture in elderly patients. , 2010, Injury.

[13]  D. R. Fish,et al.  Sources of goniometric error at the elbow. , 1985, Physical therapy.

[14]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[15]  G. Franklin,et al.  Implementing evidence-based health policy in Washington State. , 2009, The New England journal of medicine.