The journal of pain : official journal of the American Pain Society
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Evening chronotype individuals experience pain more often than morning chronotypes, but relationships with pain sensitivity have rarely been studied. We examined whether chronotype is associated with pressure pain sensitivity, with special reference to mental health disorders, insomnia, and chronic musculoskeletal (MSK) pain as potential moderating factors. The study sample consisted of members of the Northern Finland Birth Cohort 1966 aged 46. ⋯ These results emphasize the role of chronotype in pain sensitivity and add an understanding of pain experience in light of innate circadian types. PERSPECTIVE: Male evening chronotypes are more sensitive to pain than morning chronotypes. Diagnosed mental health disorders in particular indicate a low pain threshold for evening chronotype males.
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Exercise leads to clinically meaningful pain reductions in people with chronic low back pain and is recommended as a first line treatment. The benefits of exercise for chronic low back pain decrease over time with a lack of long-term exercise adherence as a potential reason for this decreasing effect. We aimed to identify the barriers and enablers to exercise adherence from the perspective of people with chronic low back pain. ⋯ These findings improve our understanding of the barriers and enablers to exercise adherence from the individual perspective of people with chronic low back pain and can be utilised for more effective exercise treatment in this population. PERSPECTIVE: This article presents the barriers and enablers to exercise adherence from the perspective of people with chronic low back pain. These perspectives may aid to individualise and optimise exercise treatment, improve its long-term adherence and therefore its effectiveness for chronic low back pain.
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In response to the opioid epidemic and high rates of chronic pain among the veteran population, the U. S. Department of Veterans Affairs implemented the TelePain-Empower Veterans Program (EVP), a nonpharmacological pain management program for veterans. ⋯ These descriptive data should be triangulated with quantitative data to objectively assess participant TelePain-EVP outcomes and associated participant characteristics. PERSPECTIVE: A qualitative evaluation of a telehealth program to manage chronic pain, guided by the CFIR framework, identified determinants of program implementation. Additionally, participants reported improvements in pain management coping skills, interpersonal relationships, and sense of community, but no self-reported reductions in pain or medication use.
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Review Multicenter Study
Validation of the Keele STarT MSK Tool for Patients with Musculoskeletal Pain in United States-Based Outpatient Physical Therapy Settings.
The STarT MSK tool was developed to enable risk stratification of patients with common musculoskeletal (MSK) pain conditions and help identify individuals who may require more targeted interventions or closer monitoring in primary care settings, however, its validity in U. S.-based outpatient physical therapy settings has not been investigated. The 10-item Keele STarT MSK risk stratification tool was tested for construct (convergent and discriminant) and predictive validity using a multicenter, prospective cohort study design. ⋯ PERSPECTIVE: This study presents STarT MSK risk stratification tool validity findings from a U. S. outpatient physical therapy sample. The STarT MSK tool has the potential to help physical therapists identify individuals presenting with the most common MSK pain conditions who may require more targeted interventions or closer monitoring.
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Observational Study
Hierarchical clustering applied to chronic pain drawings identifies undiagnosed fibromyalgia: implications for busy clinical practice.
Currently-used assessments for fibromyalgia require clinicians to suspect a fibromyalgia diagnosis, a process susceptible to unintentional bias. Automated assessments of standard patient-reported outcomes (PROs) could be used to prompt formal assessments, potentially reducing bias. We sought to determine whether hierarchical clustering of patient-reported pain distribution on digital body map drawings predicted fibromyalgia diagnosis. ⋯ Coupling PROs that take seconds to complete, such as a digital pain body map, with machine learning is a promising strategy to reduce bias in fibromyalgia diagnosis and improve patient outcomes. PERSPECTIVE: This investigation applies hierarchical clustering to patient-reported, digital pain body maps, finding an association between body map responses and clinical fibromyalgia diagnosis. Rapid, computer-assisted interpretation of pain body maps would be clinically useful in prompting more detailed assessments for fibromyalgia, potentially reducing gender bias.