The reliability of palpating the posterior superior iliac spine: a systematic review
Two articles on PainSci cite Cooperstein 2016: 1. Massage Therapy for Low Back Pain (So Low That It’s Not In the Back) 2. Complete Guide to Low Back Pain
original abstract †Abstracts here may not perfectly match originals, for a variety of technical and practical reasons. Some abstacts are truncated for my purposes here, if they are particularly long-winded and unhelpful. I occasionally add clarifying notes. And I make some minor corrections.
INTRODUCTION: Among pelvic landmarks routinely palpated by manual therapists, the posterior superior iliac spines (PSISs) are particularly important. In addition to serving as landmarks for identifying possible pelvic torsion, contacting the PSISs is integral to many other static and dynamic pelvic palpatory procedures. The primary study goal was to systematically review the literature on the intra- and interexaminer reliability of PSIS palpation.
METHODS: Electronic databases and secondary searches led to the retrieval of articles that satisfied inclusion criteria. Two investigators rated the quality of included articles using the QAREL instrument.
RESULTS: The search identified 13 articles, one judged high quality, satisfying the inclusion criteria. Intraexaminer exceeded interexaminer reliability. Among 8 studies that reported interexaminer agreement using kappa, mean ϰ=0.27 (adjusted for sample size).
DISCUSSION AND CONCLUSION: Current methods of palpating for PSIS asymmetry do not result in levels of interexaminer reliability supporting clinical utility. Improved methods should be sought.
related content
- “Radiosteriometric analysis of movement in the sacroiliac joint during a single-leg stance in patients with long-lasting pelvic girdle pain,” Thomas J Kibsgård, Olav Røise, Bengt Sturesson, Stephan M Röhrl, and Britt Stuge, Clin Biomech (Bristol, Avon), 2014.
- “Interrater reliability: the kappa statistic,” Mary L McHugh, Biochem Med (Zagreb), 2012.
- “The measurement of observer agreement for categorical data,” J R Landis and G G Koch, Biometrics, 1977.
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