Literature DB >> 28371572

Portuguese translation, cross-cultural adaptation and reliability of the questionnaire «Start Back Screening Tool» (SBST).

Armando Raimundo1, José Parraça1, Nuno Batalha1, Pablo Tomas-Carus1, Jaime Branco2, Jonathan Hill3, Narcis Gusi4.   

Abstract

OBJECTIVE: To translate and perform the cross-cultural adaptation of the StarT Back Screening Tool (SBST) questionnaire to assessment and screening low back pain for Portuguese application, and test their reliability.
METHOD: To establish conceptual equivalence in item, semantic and operational concern, there were performed two translations into Portuguese in a independently way. A combined version was obtained by consensus among the authors of the translations in order to be achieved a noticeable version in semantic terms and easy to understand. The synthesis version was administered to 40 subjects distributed by gender, young and older adults, with and without low back pain. Through cognitive interviews with the subjects of the sample, clarity, the acceptability, as well as the familiarization of the Portuguese version was evaluated, promoting the changes necessary for a better understanding. The final Portuguese version of the questionnaire was then back-translated into the original language. To evaluate the SBST-Portugal psychometric properties, 31 subjects with low back pain performed two interviews.
RESULTS: Participants interviewees reported that in general the items were clear and comprehensible achieving face validity. The reliability of the SBST-Portugal showed a Kappa value of 0,74 (95%IC 0,53-0,95), and the internal consistency (Cronbach's alpha) was 0,93 for the total score and 0,93 for the psychosocial subscale.
CONCLUSION: The Portuguese version of SBST questionnaire proved to be equivalent to the original English version and reliable for the Portuguese population with low back pain. Being an instrument of easy access and application it could be use in primary care.

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Mesh:

Year:  2017        PMID: 28371572

Source DB:  PubMed          Journal:  Acta Reumatol Port        ISSN: 0303-464X            Impact factor:   1.290


  4 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

Review 2.  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

3.  Interdisciplinary stratified care for low back pain: A qualitative study on the acceptability, potential facilitators and barriers to implementation.

Authors:  Carmen Caeiro; Helena Canhão; Sofia Paiva; Luís A Gomes; Rita Fernandes; Ana Maria Rodrigues; Rute Sousa; Fernando Pimentel-Santos; Jaime Branco; Ana Cristina Fryxell; Lília Vicente; Eduardo B Cruz
Journal:  PLoS One       Date:  2019-11-15       Impact factor: 3.240

4.  Cross-cultural adaptation and validation of the STarT back screening tool in isiZulu.

Authors:  Peta-Ann Schmidt; Vaneshveri Naidoo
Journal:  S Afr J Physiother       Date:  2020-06-01
  4 in total

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