New scale useful for predicting sick leave for back pain

April 23, 2014
New scale useful for predicting sick leave for back pain

(HealthDay)—A new user-friendly 10-item rating scale is useful for predicting the duration of sick leave in patients with acute lumbar back pain, according to a study published in the April 20 issue of Spine.

Robert Pind, M.D., from Klinikgaarden in Bjerringbro, Denmark, developed a user-friendly 10-item questionnaire to predict duration of . Patients were compared based on ratings of no sick leave or a few days of sick leave; one week of sick leave; and more than two weeks of sick leave.

The researcher found that, based on 23 doctors' examinations of the 114 working patients that completed the follow-up questionnaire, the 10-item scale showed a good correlation between the total score at the first general practitioner visit and predictable time of sick leave. There was low frequency of and referral to radiographical examination, and this may have been as a consequence of using the scale.

"The specially developed short and user-friendly 10-item scale was a good predictor of the duration of sick leave," the authors write.

Explore further: Low back pain counseling strategy ups return to work

More information: Abstract
Full Text (subscription or payment may be required)

Related Stories

Low back pain counseling strategy ups return to work

February 28, 2012

(HealthDay) -- Combining a disability evaluation with proactive counseling for workers with low back pain (LBP) results in a higher return-to-work rate, which is statistically significant at one year, according to a study ...

Patients with acute low back pain have poor prognosis

April 24, 2012

(HealthDay) -- Few patients with acute low back pain (LBP), with or without sciatica, declare sick leave; however, approximately half have one or more recurrences and a considerable proportion experience chronic pain six ...

Recommended for you

Cellphone data can track infectious diseases

August 20, 2015

Tracking mobile phone data is often associated with privacy issues, but these vast datasets could be the key to understanding how infectious diseases are spread seasonally, according to a study published in the Proceedings ...

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.