Literature DB >> 29671109

The use of STarT BACK Screening Tool in emergency departments for patients with acute low back pain: a prospective inception cohort study.

Flávia Cordeiro Medeiros1, Leonardo Oliveira Pena Costa2, Indiara Soares Oliveira2, Renan Kendy Oshima2, Lucíola Cunha Menezes Costa2.   

Abstract

PURPOSE: (1) To analyse the clinical utility of the STarT Back Screening Tool (SBST) in emergency departments by describing changes in classification over time and; (2) to identify what would be the best time to use the SBST to predict long-term clinical outcomes in patients with acute nonspecific low back pain (LBP) seeking emergency care.
METHODS: A 6 months prospective inception cohort study was conducted. 200 participants with LBP seeking emergency medical treatment were included. Pain intensity, disability and SBST were collected at baseline, 6 and 26 weeks. Categories of improvement, clinical worsening, and stability were created to calculate the changes in the SBST subgroups. Linear regression models were built to analyse the predictive ability of SBST when applied at baseline, 6 weeks as well as changes in the subgroup from baseline to 6 weeks. These models were adjusted for potential confounders.
RESULTS: 45% of patients were classified as high risk of chronicity at baseline. Most patients classified as medium (86.7%) or high (52.4%) risk changed their risk subgroup after 6 weeks and most of them improved. The SBST improved the prediction for all outcomes when applied at 6 weeks (R2 = 22.1% for disability and R2 = 15.6% for pain intensity), but not at baseline.
CONCLUSION: Most of patients seeking care in emergency departments with a new episode of acute LBP improved after 6 weeks. The use of SBST to guide initial treatment and to predict clinical outcomes are most indicated when the instrument is applied after 6 weeks after presentation to emergency care. These slides can be retrieved under Electronic Supplementary material.

Entities:  

Keywords:  Acute low back pain; Emergency department; Inception cohort; Prediction models; Prognosis; STarT Back Tool

Mesh:

Year:  2018        PMID: 29671109     DOI: 10.1007/s00586-018-5586-0

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  28 in total

Review 1.  Non-specific low back pain.

Authors:  Chris Maher; Martin Underwood; Rachelle Buchbinder
Journal:  Lancet       Date:  2016-10-11       Impact factor: 79.321

2.  A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain.

Authors:  M Roland; R Morris
Journal:  Spine (Phila Pa 1976)       Date:  1983-03       Impact factor: 3.468

3.  Relationship between categorization with the STarT Back Screening Tool and prognosis for people receiving physical therapy for low back pain.

Authors:  Julie M Fritz; Jason M Beneciuk; Steven Z George
Journal:  Phys Ther       Date:  2011-03-30

4.  Evaluation of the STarT Back Screening Tool for Prediction of Low Back Pain Intensity in an Outpatient Physical Therapy Setting.

Authors:  Irene Toh; Hwei-Chi Chong; Jennifer Suet-Ching Liaw; Yong-Hao Pua
Journal:  J Orthop Sports Phys Ther       Date:  2017-03-03       Impact factor: 4.751

5.  Translation, adaptation and validation of the Roland-Morris questionnaire--Brazil Roland-Morris.

Authors:  L Nusbaum; J Natour; M B Ferraz; J Goldenberg
Journal:  Braz J Med Biol Res       Date:  2001-02       Impact factor: 2.590

6.  The STarT Back Screening Tool for prediction of 6-month clinical outcomes: relevance of change patterns in outpatient physical therapy settings.

Authors:  Jason M Beneciuk; Julie M Fritz; Steven Z George
Journal:  J Orthop Sports Phys Ther       Date:  2014-08-06       Impact factor: 4.751

7.  Using the STarT Back Tool: Does timing of stratification matter?

Authors:  D Newell; J Field; D Pollard
Journal:  Man Ther       Date:  2014-08-09

8.  Clinimetric testing of three self-report outcome measures for low back pain patients in Brazil: which one is the best?

Authors:  Leonardo Oliveira Pena Costa; Chris G Maher; Jane Latimer; Paulo Henrique Ferreira; Manuela Loureiro Ferreira; Giovanni Campos Pozzi; Ludmilla Motta Andrade Freitas
Journal:  Spine (Phila Pa 1976)       Date:  2008-10-15       Impact factor: 3.468

9.  Construct and discriminant validity of STarT Back Screening Tool - Brazilian version.

Authors:  Bruna Pilz; Rodrigo A Vasconcelos; Paulo P Teixeira; Wilson Mello; Freddy B Marcondes; Jonathan C Hill; Débora B Grossi
Journal:  Braz J Phys Ther       Date:  2017-01-14       Impact factor: 3.377

10.  Prognosis in patients with recent onset low back pain in Australian primary care: inception cohort study.

Authors:  Nicholas Henschke; Christopher G Maher; Kathryn M Refshauge; Robert D Herbert; Robert G Cumming; Jane Bleasel; John York; Anurina Das; James H McAuley
Journal:  BMJ       Date:  2008-07-07
View more
  8 in total

Review 1.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

2.  Prospective observational study investigating the predictive validity of the STarT Back tool and the clinical effectiveness of stratified care in an emergency department setting.

Authors:  C Treanor; S Brogan; Y Burke; A Curley; J Galvin; L McDonagh; C Murnaghan; P Mc Donnell; N O'Reilly; K Ryan; H P French
Journal:  Eur Spine J       Date:  2022-07-04       Impact factor: 3.134

3.  The Danish Chiropractic Low Back Pain Cohort (ChiCo): Description and Summary of an Available Data Source for Research Collaborations.

Authors:  Alice Kongsted; Orla Lund Nielsen; Henrik Wulff Christensen; Jan Hartvigsen; Klaus Doktor; Peter Kent; Tue Secher Jensen
Journal:  Clin Epidemiol       Date:  2020-10-02       Impact factor: 4.790

Review 4.  Tackling low back pain in Brazil: a wake-up call.

Authors:  Giovanni Ferreira; Luciola Menezes Costa; Airton Stein; Jan Hartvigsen; Rachelle Buchbinder; Chris G Maher
Journal:  Braz J Phys Ther       Date:  2018-10-13       Impact factor: 3.377

5.  Use of the STarT Back Screening Tool in patients with chronic low back pain receiving physical therapy interventions.

Authors:  Flávia Cordeiro Medeiros; Evelyn Cassia Salomão; Leonardo Oliveira Pena Costa; Diego Galace de Freitas; Thiago Yukio Fukuda; Renan Lima Monteiro; Marco Aurélio Nemitalla Added; Alessandra Narciso Garcia; Lucíola da Cunha Menezes Costa
Journal:  Braz J Phys Ther       Date:  2020-07-29       Impact factor: 3.377

Review 6.  Advancing practice for back pain through stratified care (STarT Back).

Authors:  Gail Sowden; Jonathan Charles Hill; Lars Morso; Quninette Louw; Nadine Elizabeth Foster
Journal:  Braz J Phys Ther       Date:  2018-06-22       Impact factor: 3.377

Review 7.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

8.  Healthcare costs due to low back pain in the emergency department and inpatient setting in Sydney, Australia.

Authors:  Danielle M Coombs; Gustavo C Machado; Bethan Richards; Ross Wilson; Jimmy Chan; Hannah Storey; Chris G Maher
Journal:  Lancet Reg Health West Pac       Date:  2021-01-29
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.