Effectiveness of physical therapy for patients with neck pain: an individualized approach using a clinical decision-making algorithm.
OBJECTIVE
The purpose of this study was to determine the effectiveness of an individualized physical therapy intervention in treating neck pain based on a clinical reasoning algorithm. Treatment effectiveness was examined by assessing changes in impairment, physical performance, and disability in response to intervention.


METHODS
One treatment group of 30 patients with neck pain completed physical therapy treatment. The control group of convenience was formed by a cohort group of 27 subjects who also had neck pain but did not receive treatment for various reasons. There were no significant differences between groups in demographic data and the initial test scores of the outcome measures. A quasi-experimental, nonequivalent, pretest-posttest control group design was used. A physical therapist rendered an eclectic intervention to the treatment group based on a clinical decision-making algorithm. Treatment outcome measures included the following five dependent variables: cervical range of motion, numeric pain rating, timed weighted overhead endurance, the supine capital flexion endurance test, and the Patient Specific Functional Scale. Both the treatment and control groups completed the initial and follow-up examinations, with an average duration of 4 wk between tests.


RESULTS
Five mixed analyses of variance with follow-up tests showed a significant difference for all outcome measures in the treatment group compared with the control group. After an average 4 wk of physical therapy intervention, patients in the treatment group demonstrated statistically significant increases of cervical range of motion, decrease of pain, increases of physical performance measures, and decreases in the level of disability. The control group showed no differences in all five outcome variables between the initial and follow-up test scores.


CONCLUSIONS
This study delineated algorithm-based clinical reasoning strategies for evaluating and treating patients with cervical pain. The algorithm can help clinicians classify patients with cervical pain into clinical patterns and provides pattern-specific guidelines for physical therapy interventions. An organized and specific physical therapy program was effective in improving the status of patients with neck pain.
Wang
Wendy T J
WT
Faculty of Physical Therapy, National Yang-Ming University, Taipei, Taiwan.
Olson
Sharon L
SL
Campbell
Anne H
AH
Hanten
William P
WP
Gleeson
Peggy B
PB
D000328:Adult; D000368:Aged; D000465:Algorithms; D015331:Cohort Studies; D003661:Decision Support Techniques; D004185:Disability Evaluation; D005080:Exercise Test / Q000379:methods; D017079:Exercise Tolerance; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D019547:Neck Pain / Q000628:therapy*; D017063:Outcome Assessment, Health Care; D026741:Physical Therapy Modalities / Q000379:methods*; D016896:Treatment Outcome