↓ Skip to main content

“Blue flags”, development of a short clinical questionnaire on work-related psychosocial risk factors - a validation study in primary care

Overview of attention for article published in BMC Musculoskeletal Disorders, July 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
15 tweeters

Readers on

mendeley
41 Mendeley
Title
“Blue flags”, development of a short clinical questionnaire on work-related psychosocial risk factors - a validation study in primary care
Published in
BMC Musculoskeletal Disorders, July 2017
DOI 10.1186/s12891-017-1677-z
Pubmed ID
Authors

Charlotte Post Sennehed, Gunvor Gard, Sara Holmberg, Kjerstin Stigmar, Malin Forsbrand, Birgitta Grahn

Abstract

Working conditions substantially influence health, work ability and sick leave. Useful instruments to help clinicians pay attention to working conditions are lacking in primary care (PC). The aim of this study was to test the validity of a short "Blue flags" questionnaire, which focuses on work-related psychosocial risk factors and any potential need for contacts and/or actions at the workplace. From the original"The General Nordic Questionnaire" (QPSNordic) the research group identified five content areas with a total of 51 items which were considered to be most relevant focusing on work-related psychosocial risk factors. Fourteen items were selected from the identified QPSNordic content areas and organised in a short questionnaire "Blue flags". These 14 items were validated towards the 51 QPSNordic items. Content validity was reviewed by a professional panel and a patient panel. Structural and concurrent validity were also tested within a randomised clinical trial. The two panels (n = 111) considered the 14 psychosocial items to be relevant. A four-factor model was extracted with an explained variance of 25.2%, 14.9%, 10.9% and 8.3% respectively. All 14 items showed satisfactory loadings on all factors. Concerning concurrent validity the overall correlation was very strong rs = 0.87 (p < 0.001).). Correlations were moderately strong for factor one, rs = 0.62 (p < 0.001) and factor two, rs = 0.74 (p < 0.001). Factor three and factor four were weaker, bur still fair and significant at rs = 0.53 (p < 0.001) and rs = 0.41 (p < 0.001) respectively. The internal consistency of the whole "Blue flags" was good with Cronbach's alpha of 0.76. The content, structural and concurrent validity were satisfactory in this first step of development of the "Blue flags" questionnaire. In summary, the overall validity is considered acceptable. Testing in clinical contexts and in other patient populations is recommended to ensure predictive validity and usefulness.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 29%
Student > Postgraduate 4 10%
Student > Doctoral Student 4 10%
Researcher 3 7%
Other 3 7%
Other 11 27%
Unknown 4 10%
Readers by discipline Count As %
Medicine and Dentistry 11 27%
Nursing and Health Professions 10 24%
Psychology 4 10%
Engineering 3 7%
Social Sciences 2 5%
Other 8 20%
Unknown 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2017.
All research outputs
#1,768,512
of 13,980,606 outputs
Outputs from BMC Musculoskeletal Disorders
#420
of 2,773 outputs
Outputs of similar age
#51,144
of 267,624 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#1
of 1 outputs
Altmetric has tracked 13,980,606 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,773 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them