Articles: pain-measurement.
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Pragmatic Clinical Trial
Does a modified STarT Back Tool predict outcome with a broader group of musculoskeletal patients than back pain? A secondary analysis of cohort data.
The STarT Back Tool has good predictive performance for non-specific low back pain in primary care. We therefore aimed to investigate whether a modified STarT Back Tool predicted outcome with a broader group of musculoskeletal patients, and assessed the consequences of using existing risk-group cut-points across different pain regions. ⋯ A modified STarT Back Tool similarly predicts 6-month physical health outcome across 5 musculoskeletal pain regions. However, the use of consistent risk-group cut-points was not possible and resulted in poor sensitivity (too many with long-term disability being missed) or specificity (too many with good outcome inaccurately classified as 'at risk') for some pain regions. The draft tool is now being refined and validated within a new programme of research for a broader musculoskeletal population.
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Children with acute musculoskeletal pain caused by traumatic injury often present to emergency departments (EDs). However, there is a tendency for practitioners to underestimate the level and intensity of children's pain, and there is variation in pain assessments and management. This article discusses the assessment and management of pain in children who attend EDs following acute traumatic limb injury. It uses a case study to illustrate some of the points raised, and offers evidenced-based guidance on assessment and management of children's pain following acute traumatic limb injury.
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A cross-sectional study, part of a randomized controlled trial. ⋯ High cardiorespiratory and muscular fitness and meeting physical activity recommendations for aerobic and muscular fitness were strongly associated with lower total costs among nursing personnel with pain related disorders of recurrent non-specific low back pain (NSLBP). Actions to increase physical activity and muscle conditioning may significantly save on health-care costs and decrease sick-leave costs due to low back pain.
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Randomized Controlled Trial Multicenter Study
Development of the Chronic Pain Coding System (CPCS) for Characterizing Patient-Clinician Discussions About Chronic Pain and Opioids.
To describe the development and initial application of the Chronic Pain Coding System. ⋯ This coding system appears to be a reliable and valid tool for characterizing patient-clinician communication about opioids and chronic pain during clinic visits. Objective data on how patients and clinicians discuss chronic pain and opioids are necessary to identify communication patterns and strategies for improving the quality and productivity of discussions about chronic pain that may lead to more effective pain management and reduce inappropriate opioid prescribing.
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OBJECTIVES : This study translates the Pain Catastrophizing Scale (PCS) into Hindi and examines the psychometric properties of the translated version (Hindi PCS [Hi-PCS]) in patients with chronic low back pain (CLBP). METHODS : Forward and backward translations were performed from English to Hindi according to standard methodology. A final version was evaluated by a committee of clinical experts and Hi-PCS was then pilot-tested in 10 patients with CLBP. ⋯ Intraclass correlation coefficient for the Hi-PCS is 0.923 (95% CI: 0.875-0.953). Hi-PCS was moderately correlated with pain intensity (r = 0.651) and functional disability (r = 0.352), and negatively correlated with QoL (r = -0.380). CONCLUSIONS : PCS translation and cross-cultural adaptation to Hindi demonstrated good factor structure along adequate psychometric properties and could be recommended for use in CLBP research in India.