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Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment?
BACKGROUND: The purpose of the study was to determine if clinician predicted prognosis is associated with patient outcomes. METHODS: The study was a secondary analysis of data that were collected in 8 physiotherapy outpatient clinics. Nine physiotherapists with post-graduate training in manual thera...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5721702/ https://www.ncbi.nlm.nih.gov/pubmed/29340172 http://dx.doi.org/10.1186/s40945-015-0003-z |
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author | Cook, Chad E Moore, Thomas J Learman, Kenneth Showalter, Christopher Snodgrass, Suzanne J |
author_facet | Cook, Chad E Moore, Thomas J Learman, Kenneth Showalter, Christopher Snodgrass, Suzanne J |
author_sort | Cook, Chad E |
collection | PubMed |
description | BACKGROUND: The purpose of the study was to determine if clinician predicted prognosis is associated with patient outcomes. METHODS: The study was a secondary analysis of data that were collected in 8 physiotherapy outpatient clinics. Nine physiotherapists with post-graduate training in manual therapy (mean 20.3 years of experience) were asked at baseline to project the outcome of the patients evaluated. In total, 112 patients with low back (74 %) or neck (26 %) pain were treated pragmatically with interventions consisting of manual therapy, strengthening, and patient-specific education. Outcomes measures consisted of percent change in disability (Oswestry or Neck Disability Index), self-reported rate of recovery (0–100 %), and percent change in pain (numerical pain rating scale). Hierarchical logistic regression determined potential factors (clinician predicted prognosis score (1–10) at baseline, dichotomised as poor (1–6) and good (7–10); symptom duration categorised as acute, subacute or chronic; same previous injury (yes/no); baseline pain and disability scores; within-session improvement at initial visit (yes/no); and presence of ≥ one psychological factor) associated with meaningful changes in each of the three outcomes at discharge (disability and pain > 50 % improvement, rate of recovery ≥82.5 % improvement). RESULTS: Clinician predicted prognosis (OR 4.15, 95%CI = 1.31, 13.19, p = 0.02) and duration of symptoms (OR subacute 0.24, 95%CI = 0.07, 0.89, p = 0.03; chronic 0.21, 95%CI = 0.05, 0.90, p = 0.04) were associated with rate of recovery, whereas only clinician predicted prognosis was associated with disability improvement (OR 4.28, 95 % CI 1.37, 13.37, p = 0.01). No variables were associated with pain improvement. CONCLUSIONS: Clinician predicted prognosis is potentially valuable for patients, as a good predicted prognosis is associated with improvements in disability and rate of recovery. |
format | Online Article Text |
id | pubmed-5721702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57217022018-01-16 Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? Cook, Chad E Moore, Thomas J Learman, Kenneth Showalter, Christopher Snodgrass, Suzanne J Arch Physiother Research Article BACKGROUND: The purpose of the study was to determine if clinician predicted prognosis is associated with patient outcomes. METHODS: The study was a secondary analysis of data that were collected in 8 physiotherapy outpatient clinics. Nine physiotherapists with post-graduate training in manual therapy (mean 20.3 years of experience) were asked at baseline to project the outcome of the patients evaluated. In total, 112 patients with low back (74 %) or neck (26 %) pain were treated pragmatically with interventions consisting of manual therapy, strengthening, and patient-specific education. Outcomes measures consisted of percent change in disability (Oswestry or Neck Disability Index), self-reported rate of recovery (0–100 %), and percent change in pain (numerical pain rating scale). Hierarchical logistic regression determined potential factors (clinician predicted prognosis score (1–10) at baseline, dichotomised as poor (1–6) and good (7–10); symptom duration categorised as acute, subacute or chronic; same previous injury (yes/no); baseline pain and disability scores; within-session improvement at initial visit (yes/no); and presence of ≥ one psychological factor) associated with meaningful changes in each of the three outcomes at discharge (disability and pain > 50 % improvement, rate of recovery ≥82.5 % improvement). RESULTS: Clinician predicted prognosis (OR 4.15, 95%CI = 1.31, 13.19, p = 0.02) and duration of symptoms (OR subacute 0.24, 95%CI = 0.07, 0.89, p = 0.03; chronic 0.21, 95%CI = 0.05, 0.90, p = 0.04) were associated with rate of recovery, whereas only clinician predicted prognosis was associated with disability improvement (OR 4.28, 95 % CI 1.37, 13.37, p = 0.01). No variables were associated with pain improvement. CONCLUSIONS: Clinician predicted prognosis is potentially valuable for patients, as a good predicted prognosis is associated with improvements in disability and rate of recovery. BioMed Central 2015-07-08 /pmc/articles/PMC5721702/ /pubmed/29340172 http://dx.doi.org/10.1186/s40945-015-0003-z Text en © Cook et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Cook, Chad E Moore, Thomas J Learman, Kenneth Showalter, Christopher Snodgrass, Suzanne J Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? |
title | Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? |
title_full | Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? |
title_fullStr | Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? |
title_full_unstemmed | Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? |
title_short | Can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? |
title_sort | can experienced physiotherapists identify which patients are likely to succeed with physical therapy treatment? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5721702/ https://www.ncbi.nlm.nih.gov/pubmed/29340172 http://dx.doi.org/10.1186/s40945-015-0003-z |
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