scholarly journals Screening for Symptoms of Depression by Physical Therapists Managing Low Back Pain

2004 ◽  
Vol 84 (12) ◽  
pp. 1157-1166 ◽  
Author(s):  
Sonia Haggman ◽  
Christopher G Maher ◽  
Kathryn M Refshauge

Abstract Background and Purpose. Depression is a condition that worsens the prognosis of low back pain (LBP) and is under-recognized and undertreated in primary care. The purpose of this study was to evaluate the accuracy with which physical therapists screen for depressive symptoms among their patients with LBP. Subjects. Sixty-eight physical therapists and 232 patients with nonspecific LBP from 40 physical therapy clinics participated. Methods. Patients completed the reference standard (Depression Anxiety Stress Scales [DASS]) and a 2-item screening test for depression taken from the Primary Care Evaluation of Mental Disorders Procedure (PRIME-MD). Treating physical therapists used a 0 to 10 scale to judge whether each patient was depressed. Based on the short-form Depression Anxiety Stress Scales (DASS-21) depression scale score, each patient was categorized as exhibiting normal, mild, moderate, severe, or extremely severe depression symptoms, and receiver operating characteristic (ROC) curves were generated to describe test accuracy. Results. The 2-item screening test was more accurate in screening for depressive symptoms than the physical therapists' ratings were; for example, in detecting moderate depressive symptoms in the 2 areas under the ROC curve, values were 0.66 versus 0.79. Discussion and Conclusion. Because the therapists did not accurately identify symptoms of depression, even symptoms of severe depression, despite the common presentation in their clinics, we recommend that physical therapists managing patients with LBP use the 2-item depression screening test. Administration of this screening test would improve physical therapists' ability to screen for symptoms of depression and would enable referral for appropriate management.

2013 ◽  
Vol 71 (Suppl 3) ◽  
pp. 724.4-725
Author(s):  
L. Myasoutova ◽  
S. Lapshina ◽  
M. Protopopov ◽  
S. Erdes

Rheumatology ◽  
2021 ◽  
Author(s):  
Dahai Yu ◽  
George Peat ◽  
Kelvin P Jordan ◽  
James Bailey ◽  
Daniel Prieto-Alhambra ◽  
...  

Abstract Objectives Better indicators from affordable, sustainable data sources are needed to monitor population burden of musculoskeletal conditions. We propose five indicators of musculoskeletal health and assessed if routinely available primary care electronic health records (EHR) can estimate population levels in musculoskeletal consulters. Methods We collected validated patient-reported measures of pain experience, function and health status through a local survey of adults (≥35 years) presenting to English general practices over 12 months for low back pain, shoulder pain, osteoarthritis and other regional musculoskeletal disorders. Using EHR data we derived and validated models for estimating population levels of five self-reported indicators: prevalence of high impact chronic pain, overall musculoskeletal health (based on Musculoskeletal Health Questionnaire), quality of life (based on EuroQoL health utility measure), and prevalence of moderate-to-severe low back pain and moderate-to-severe shoulder pain. We applied models to a national EHR database (Clinical Practice Research Datalink) to obtain national estimates of each indicator for three successive years. Results The optimal models included recorded demographics, deprivation, consultation frequency, analgesic and antidepressant prescriptions, and multimorbidity. Applying models to national EHR, we estimated that 31.9% of adults (≥35 years) presenting with non-inflammatory musculoskeletal disorders in England in 2016/17 experienced high impact chronic pain. Estimated population health levels were worse in women, older aged and those in the most deprived neighbourhoods, and changed little over 3 years. Conclusion National and subnational estimates for a range of subjective indicators of non-inflammatory musculoskeletal health conditions can be obtained using information from routine electronic health records.


2003 ◽  
Vol 28 (8) ◽  
pp. 26-31 ◽  
Author(s):  
Kelly Phillips ◽  
Anne P.Y. Ch’ien ◽  
Barbara R. Norwood ◽  
Chris Smith

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046446
Author(s):  
Monica Unsgaard-Tøndel ◽  
Ottar Vasseljen ◽  
Tom Ivar Lund Nilsen ◽  
Gard Myhre ◽  
Hilde Stendal Robinson ◽  
...  

ObjectivePrimary care screening tools for patients with low back pain may improve outcome by identifying modifiable obstacles for recovery. The STarT Back Screening Tool (SBST) consists of nine biological and psychological items, with less focus on work-related factors. We aimed at testing the prognostic ability of SBST and the effect of adding items for future and present work ability.MethodsProspective observational study in patients (n=158) attending primary care physical therapy for low back pain. The prognostic ability of SBST and the added prognostic value of two work items; expectation for future work ability and current work ability, were calculated for disability, pain and quality of life outcome at 3 months follow-up. The medium and high-risk group in the SBST were collapsed in the analyses due to few patients in the high-risk group. The prognostic ability was assessed using the explained variance (R2) of the outcomes from univariable and multivariable linear regression and beta values with 95% CIs were used to assess the prognostic value of individual items.ResultsThe SBST classified 107 (67.7%) patients as low risk and 51 (32.3%) patients as medium/high risk. SBST provided prognostic ability for disability (R2=0.35), pain (R2=0.25) and quality of life (R2=0.28). Expectation for return to work predicted outcome in univariable analyses but provided limited additional prognostic ability when added to the SBST. Present work ability provided additional prognostic ability for disability (β=−2.5; 95% CI=−3.6 to −1.4), pain (β=−0.2; 95% CI=−0.5 to −0.002) and quality of life (β=0.02; 95% CI=0.001 to 0.04) in the multivariable analyses. The explained variance (R2) when work ability was added to the SBST was 0.60, 0.49 and 0.47 for disability, pain and quality of life, respectively.ConclusionsAdding one work ability item to the SBST gives additional prognostic information across core outcomes.Clinical trial number:NCT03626389


2016 ◽  
Vol 65 (8) ◽  
pp. 346-354 ◽  
Author(s):  
Hye-Jin Kim ◽  
Jina Choo

Little evidence links emotional labor to either psychological or physical health. This study determined whether the two types of emotional labor (i.e., surface vs. deep acting) were significantly associated with depressive symptoms and work-related musculoskeletal disorders in call center workers. A cross-sectional study was conducted with 274 workers recruited from a call center in Seoul, South Korea. In adjusted regression models, levels of surface, but not deep, acting were significantly and positively associated with depressive symptoms. Higher surface acting levels were significantly and positively associated with low back pain; higher deep acting levels were significantly and inversely associated with low back pain. Study findings could inform occupational health nurses as they delineate differentiated strategies, according to the nature of surface and deep acting, to promote psychological and physical health in call center workers.


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