↓ Skip to main content

Translation and validation of the German version of the Bournemouth Questionnaire for Neck Pain

Overview of attention for article published in Chiropractic & Manual Therapies, January 2012
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
160 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Translation and validation of the German version of the Bournemouth Questionnaire for Neck Pain
Published in
Chiropractic & Manual Therapies, January 2012
DOI 10.1186/2045-709x-20-2
Pubmed ID
Authors

Marina Soklic, Cynthia Peterson, B Kim Humphreys

Abstract

Clinical outcome measures are important tools to monitor patient improvement during treatment as well as to document changes for research purposes. The short-form Bournemouth questionnaire for neck pain patients (BQN) was developed from the biopsychosocial model and measures pain, disability, cognitive and affective domains. It has been shown to be a valid and reliable outcome measure in English, French and Dutch and more sensitive to change compared to other questionnaires. The purpose of this study was to translate and validate a German version of the Bournemouth questionnaire for neck pain patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 <1%
India 1 <1%
Unknown 158 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 5%
Researcher 5 3%
Student > Ph. D. Student 5 3%
Student > Bachelor 5 3%
Other 3 2%
Other 7 4%
Unknown 127 79%
Readers by discipline Count As %
Medicine and Dentistry 17 11%
Nursing and Health Professions 4 3%
Social Sciences 3 2%
Arts and Humanities 2 1%
Psychology 2 1%
Other 3 2%
Unknown 129 81%