Pain
-
In previous studies on prescription patterns of opioids, accurate data on pain are missing, and previous epidemiological studies of pain lack accurate data on opioid use. The present linkage study, which investigates the relationship between pain and opioid use, is based on accurate individual data from the complete national Norwegian prescription database and the Nord-Trøndelag health study 3, which includes about 46,000 people. Baseline data were collected in 2006 to 2008, and the cohort was followed up for 3 years. ⋯ Risk factors for the people with chronic pain who were not persistent opioid users at baseline to use opioids persistently 3 years later were occasional use of opioids, prescription of >100 defined daily doses per year of benzodiazepines, physical inactivity, reports of strong pain intensity, and prescription of drugs from 8 or more Anatomical Therapeutic Chemical groups. The study showed that most people having chronic nonmalignant pain are not using opioids, even if the pain is strong or very strong. However, the vast majority of patients with persistent opioid use report strong or very strong pain in spite of opioid treatment.
-
Because acute procedural pain tends to increase with procedure time, assessments of pain management strategies must take that time relationship into account. Statistical time-course analyses are, however, complex and require large patient numbers to detect differences. The current study evaluated the abilities of various single and simple composite measures such as averaged pain or individual patient pain slopes to detect treatment effects. ⋯ Linear data sets of individual patient slopes yielded the same qualitative results as the more complex repeated measures analyses, allowing the use of standard statistical approaches (eg, Kruskal-Wallis), and promising analyses of smaller subgroups, which otherwise would be underpowered. With nonlinear data, a simple averaged score was highly sensitive in detecting differences. Use of these 2 workable and relatively simple approaches may be a first step towards facilitating the development of data sets that could enable meta-analyses of data from acute pain trials.
-
The current study estimated the impact of psychological and social work factors over time on neck pain. A sample of Norwegian employees (n=1250) was surveyed on 3 occasions spanning 4 years. Five exposures were studied: quantitative demands, decision control, social climate, empowering leadership, and role conflict. ⋯ ORs ranged from 0.32 (CI 0.16-0.67, P<0.01) for high empowering leadership to 2.61 (CI 1.09-6.21, P<0.05) for high role conflict. Pain persistence was predicted by high role conflict (OR 3.26, CI 1.30-8.18, P<0.05), high quantitative demands (odds ratio [OR] 3.66, CI 1.58-8.49, P<0.01), and high-middle decision control (OR 0.45, CI 0.21-0.99, P<0.05). Future studies should collect information at multiple time points to clarify the impact of prolonged and changing exposure on musculoskeletal pain.
-
Knee arthroplasty remains the gold standard in the treatment of severe osteoarthritis. Chronic postoperative pain has been reported with a prevalence ranging from 15% to 47%. The aim of this study was to compare analgesic drug consumption before and after surgery as an indicator of pain after knee surgery. ⋯ Conversely, older age was considered as a protective factor. This study revealed that an increase in the issue of different analgesic drugs is present in half of patients 1 year after knee arthroplasty. Several associated factors of drug consumption (preoperative pain, type of surgery, and psychiatric disorder) were identified.
-
Randomized Controlled Trial
Identifying Treatment Responders and Predictors of Improvement after Cognitive-Behavioral Therapy for Juvenile Fibromyalgia.
The primary objective of this study was to estimate a clinically significant and quantifiable change in functional disability to identify treatment responders in a clinical trial of cognitive-behavioral therapy (CBT) for youth with juvenile fibromyalgia (JFM). The second objective was to examine whether baseline functional disability (Functional Disability Inventory), pain intensity, depressive symptoms (Children's Depression Inventory), coping self-efficacy (Pain Coping Questionnaire), and parental pain history predicted treatment response in disability at 6-month follow-up. Participants were 100 adolescents (11-18 years of age) with JFM enrolled in a recently published clinical trial comparing CBT to a fibromyalgia education (FE) intervention. ⋯ For CBT, patients with greater initial disability and higher coping efficacy were significantly more likely to achieve a clinically significant improvement in functioning. Pain intensity, depressive symptoms, and parent pain history did not significantly predict treatment response. Estimating clinically significant change for outcome measures in behavioral trials sets a high bar but is a potentially valuable approach to improve the quality of clinical trials, to enhance interpretability of treatment effects, and to challenge researchers to develop more potent and tailored interventions.