Literature DB >> 19095806

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

Jason M Beneciuk1, Mark D Bishop, Steven Z George.   

Abstract

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.

Entities:  

Mesh:

Year:  2008        PMID: 19095806      PMCID: PMC2636674          DOI: 10.2522/ptj.20080239

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  49 in total

1.  Clinical prediction rule for return to work after back pain.

Authors:  Christopher Maher
Journal:  CMAJ       Date:  2005-06-07       Impact factor: 8.262

2.  Good generalizability of a prediction rule for prediction of persistent shoulder pain in the short term.

Authors:  Ton Kuijpers; Geert J M G van der Heijden; Yvonne Vergouwe; Jos W R Twisk; A Joan P Boeke; Lex M Bouter; Daniëlle A W M van der Windt
Journal:  J Clin Epidemiol       Date:  2007-05-04       Impact factor: 6.437

3.  Preliminary development of a clinical prediction rule for determining which patients with low back pain will respond to a stabilization exercise program.

Authors:  Gregory E Hicks; Julie M Fritz; Anthony Delitto; Stuart M McGill
Journal:  Arch Phys Med Rehabil       Date:  2005-09       Impact factor: 3.966

Review 4.  The fear-avoidance model of musculoskeletal pain: current state of scientific evidence.

Authors:  Maaike Leeuw; Mariëlle E J B Goossens; Steven J Linton; Geert Crombez; Katja Boersma; Johan W S Vlaeyen
Journal:  J Behav Med       Date:  2006-12-20

5.  Clinical prediction rules for the prognosis of shoulder pain in general practice.

Authors:  Ton Kuijpers; Daniëlle A W M van der Windt; Joan P A Boeke; Jos W R Twisk; Yvonne Vergouwe; Lex M Bouter; Geert J M G van der Heijden
Journal:  Pain       Date:  2006-01-19       Impact factor: 6.961

6.  Evaluating research studies that address prognosis for patients receiving physical therapy care: a clinical update.

Authors:  Paul F Beattie; Roger M Nelson
Journal:  Phys Ther       Date:  2007-09-18

7.  Conservative treatment for shoulder pain: prognostic indicators of outcome.

Authors:  Karen A Ginn; Milton L Cohen
Journal:  Arch Phys Med Rehabil       Date:  2004-08       Impact factor: 3.966

8.  Course of back pain in primary care: a prospective study of physical measures.

Authors:  Paul Enthoven; Elisabeth Skargren; Görel Kjellman; Birgitta Oberg
Journal:  J Rehabil Med       Date:  2003-07       Impact factor: 2.912

9.  Derivation of a decision rule for the use of radiography in acute knee injuries.

Authors:  I G Stiell; G H Greenberg; G A Wells; R D McKnight; A A Cwinn; T Cacciotti; I McDowell; N A Smith
Journal:  Ann Emerg Med       Date:  1995-10       Impact factor: 5.721

10.  Development of a clinical prediction rule to identify patients with knee pain and clinical evidence of knee osteoarthritis who demonstrate a favorable short-term response to hip mobilization.

Authors:  Linda L Currier; Paul J Froehlich; Scott D Carow; Ronald K McAndrew; Amy V Cliborne; Robert E Boyles; Liem T Mansfield; Robert S Wainner
Journal:  Phys Ther       Date:  2007-07-03
View more
  20 in total

1.  Studies of quality and impact in clinical diagnosis and decision-making.

Authors:  Eric J Hegedus
Journal:  J Man Manip Ther       Date:  2010-03

2.  The use of "stabilization exercises" to affect neuromuscular control in the lumbopelvic region: a narrative review.

Authors:  Paul Bruno
Journal:  J Can Chiropr Assoc       Date:  2014-06

Review 3.  Basis for spinal manipulative therapy: a physical therapist perspective.

Authors:  Joel E Bialosky; Corey B Simon; Mark D Bishop; Steven Z George
Journal:  J Electromyogr Kinesiol       Date:  2011-12-23       Impact factor: 2.368

4.  The role of anger in psychosocial subgrouping for patients with low back pain.

Authors:  Anne N Nisenzon; Steven Z George; Jason M Beneciuk; Laura D Wandner; Calia Torres; Michael E Robinson
Journal:  Clin J Pain       Date:  2014-06       Impact factor: 3.442

5.  Effectiveness of mechanical diagnosis and therapy in patients with back pain who meet a clinical prediction rule for spinal manipulation.

Authors:  Ron Schenk; Carol Dionne; Corey Simon; Robert Johnson
Journal:  J Man Manip Ther       Date:  2012-02

6.  Management of a patient with lumbar segmental instability using a clinical predictor rule.

Authors:  Anna Ribaudo
Journal:  HSS J       Date:  2013-08-14

7.  The STarT back screening tool and individual psychological measures: evaluation of prognostic capabilities for low back pain clinical outcomes in outpatient physical therapy settings.

Authors:  Jason M Beneciuk; Mark D Bishop; Julie M Fritz; Michael E Robinson; Nabih R Asal; Anne N Nisenzon; Steven Z George
Journal:  Phys Ther       Date:  2012-11-02

8.  CLINICAL PROGNOSTIC FACTORS FOR PATIENTS WITH ANTERIOR KNEE PAIN IN PHYSICAL THERAPY; A SYSTEMATIC REVIEW.

Authors:  A M Panken; M W Heymans; L van Oort; A P Verhagen
Journal:  Int J Sports Phys Ther       Date:  2015-12

9.  Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery.

Authors:  Tony Bohman; Pierre Côté; Eleanor Boyle; J David Cassidy; Linda J Carroll; Eva Skillgate
Journal:  BMC Musculoskelet Disord       Date:  2012-12-29       Impact factor: 2.362

Review 10.  Clinical prediction models for aneurysmal subarachnoid hemorrhage: a systematic review.

Authors:  Blessing N R Jaja; Michael D Cusimano; Nima Etminan; Daniel Hanggi; David Hasan; Don Ilodigwe; Hector Lantigua; Peter Le Roux; Benjamin Lo; Ada Louffat-Olivares; Stephan Mayer; Andrew Molyneux; Audrey Quinn; Tom A Schweizer; Thomas Schenk; Julian Spears; Michael Todd; James Torner; Mervyn D I Vergouwen; George K C Wong; Jeff Singh; R Loch Macdonald
Journal:  Neurocrit Care       Date:  2013-02       Impact factor: 3.210

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.