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Clinical prediction rules for physical therapy interventions: a systematic review.

Publication ,  Journal Article
Beneciuk, JM; Bishop, MD; George, SZ
Published in: Phys Ther
February 2009

BACKGROUND AND PURPOSE: Clinical prediction rules (CPRs) involving physical therapy interventions have been published recently. The quality of the studies used to develop the CPRs was not previously considered, a fact that has potential implications for clinical applications and future research. The purpose of this systematic review was to determine the quality of published CPRs developed for physical therapy interventions. METHODS: Relevant databases were searched up to June 2008. Studies were included in this review if the explicit purpose was to develop a CPR for conditions commonly treated by physical therapists. Validated CPRs were excluded from this review. Study quality was independently determined by 3 reviewers using standard 18-item criteria for assessing the methodological quality of prognostic studies. Percentage of agreement was calculated for each criterion, and the intraclass correlation coefficient (ICC) was determined for overall quality scores. RESULTS: Ten studies met the inclusion criteria and were included in this review. Percentage of agreement for individual criteria ranged from 90% to 100%, and the ICC for the overall quality score was .73 (95% confidence interval=.27-.92). Criteria commonly not met were adequate description of inclusion or exclusion criteria, inclusion of an inception cohort, adequate follow-up, masked assessments, sufficient sample sizes, and assessments of potential psychosocial factors. Quality scores for individual studies ranged from 48.2% to 74.0%. DISCUSSION AND CONCLUSION: Validation studies are rarely reported in the literature; therefore, CPRs derived from high-quality studies may have the best potential for use in clinical settings. Investigators planning future studies of physical therapy CPRs should consider including inception cohorts, using longer follow-up times, performing masked assessments, recruiting larger sample sizes, and incorporating psychological and psychosocial assessments.

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Published In

Phys Ther

DOI

EISSN

1538-6724

Publication Date

February 2009

Volume

89

Issue

2

Start / End Page

114 / 124

Location

United States

Related Subject Headings

  • Reproducibility of Results
  • Rehabilitation
  • Prognosis
  • Physical Therapy Modalities
  • Observer Variation
  • Humans
  • Evidence-Based Medicine
  • Decision Support Techniques
  • 4201 Allied health and rehabilitation science
  • 1106 Human Movement and Sports Sciences
 

Citation

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Beneciuk, J. M., Bishop, M. D., & George, S. Z. (2009). Clinical prediction rules for physical therapy interventions: a systematic review. Phys Ther, 89(2), 114–124. https://doi.org/10.2522/ptj.20080239
Beneciuk, Jason M., Mark D. Bishop, and Steven Z. George. “Clinical prediction rules for physical therapy interventions: a systematic review.Phys Ther 89, no. 2 (February 2009): 114–24. https://doi.org/10.2522/ptj.20080239.
Beneciuk JM, Bishop MD, George SZ. Clinical prediction rules for physical therapy interventions: a systematic review. Phys Ther. 2009 Feb;89(2):114–24.
Beneciuk, Jason M., et al. “Clinical prediction rules for physical therapy interventions: a systematic review.Phys Ther, vol. 89, no. 2, Feb. 2009, pp. 114–24. Pubmed, doi:10.2522/ptj.20080239.
Beneciuk JM, Bishop MD, George SZ. Clinical prediction rules for physical therapy interventions: a systematic review. Phys Ther. 2009 Feb;89(2):114–124.
Journal cover image

Published In

Phys Ther

DOI

EISSN

1538-6724

Publication Date

February 2009

Volume

89

Issue

2

Start / End Page

114 / 124

Location

United States

Related Subject Headings

  • Reproducibility of Results
  • Rehabilitation
  • Prognosis
  • Physical Therapy Modalities
  • Observer Variation
  • Humans
  • Evidence-Based Medicine
  • Decision Support Techniques
  • 4201 Allied health and rehabilitation science
  • 1106 Human Movement and Sports Sciences