Development of a Clinical Prediction Rule for Guiding Treatment of a Subgroup of Patients With Neck Pain: Use of Thoracic Spine Manipulation, Exercise, and Patient Education

Author:

Cleland Joshua A1,Childs John D2,Fritz Julie M3,Whitman Julie M4,Eberhart Sarah L5

Affiliation:

1. JA Cleland, PT, PhD, OCS, FAAOMPT, is Assistant Professor, Department of Physical Therapy, Franklin Pierce College, 5 Chenell Dr, Concord, NH 03301 (USA); Research Coordinator, Rehabilitation Services, Concord Hospital, Concord, NH; and Faculty, Manual Therapy Fellowship Program, Regis University, Denver, Colo

2. JD Childs, PT, PhD, MBA, OCS, FAAOMPT, is Assistant Professor and Director of Research, US Army-Baylor University Doctoral Program in Physical Therapy, San Antonio, Tex

3. JM Fritz, PT, PhD, ATC, is Associate Professor, Division of Physical Therapy, University of Utah, Salt Lake City, Utah, and Clinical Outcomes Research Scientist, Intermountain Health Care, Salt Lake City, Utah

4. JM Whitman, PT, DSc, OCS, FAAOMPT, Assistant Faculty, Department of Physical Therapy, Regis University

5. SL Eberhart, PT, MPT, is Physical Therapist and Clinical II, Rehabilitation Services, Concord Hospital

Abstract

Background and PurposeTo date, no studies have investigated the predictive validity of variables from the initial examination to identify patients with neck pain who are likely to benefit from thoracic spine thrust manipulation. The purpose of this study was to develop a clinical prediction rule (CPR) to identify patients with neck pain who are likely to experience early success from thoracic spine thrust manipulation.SubjectsThis was a prospective, cohort study of patients with mechanical neck pain who were referred for physical therapy.MethodsSubjects underwent a standardized examination and then a series of thoracic spine thrust manipulation techniques. They were classified as having experienced a successful outcome at the second and third sessions based on their perceived recovery. Potential predictor variables were entered into a stepwise logistic regression model to determine the most accurate set of variables for prediction of treatment success.ResultsData for 78 subjects were included in the data analysis, of which 42 had a successful outcome. A CPR with 6 variables was identified. If 3 of the 6 variables (positive likelihood ratio=5.5) were present, the chance of experiencing a successful outcome improved from 54% to 86%.Discussion and ConclusionThe CPR provides the ability to a priori identify patients with neck pain who are likely to experience early success with thoracic spine thrust manipulation. However, future studies are necessary to validate the rule.

Publisher

Oxford University Press (OUP)

Subject

Physical Therapy, Sports Therapy and Rehabilitation

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