Pain
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Chronic postsurgical pain (CPSP) affects an estimated 10% to 50% of adults depending on the type of surgical procedure. Clinical prediction models can help clinicians target preventive strategies towards patients at high risk for CPSP. Therefore, the objective of this systematic review was to identify and describe existing prediction models for CPSP in adults. ⋯ The most common predictors identified in final prediction models included preoperative pain in the surgical area, preoperative pain in other areas, age, sex or gender, and acute postsurgical pain. Clinical prediction models may support prevention and management of CPSP, but existing models are at high risk of bias that affects their reliability to inform practice and generalizability to wider populations. Adherence to standardized guidelines for clinical prediction model development is necessary to derive a prediction model of value to clinicians.
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Deprescribing opioids has been identified as an intervention to mitigate opioid harm; however, it is often challenging to implement interventions and communicate deprescribing decisions to consumers. The development of opioid deprescribing guidelines may provide guidance and support on when and how to reduce or cease opioids in routine care. This study aimed to explore the perspectives of opioid consumers on opioid deprescribing and determine factors to be considered in the development of opioid deprescribing guidelines. ⋯ Improved communication between healthcare professionals and consumers regarding expectations of deprescribing and goals of care, as well as the provision of greater opportunities for consumer engagement in decision making were identified as avenues to improve the success of opioid deprescribing. For opioid deprescribing guidelines to be effective and achieve the intended goal of optimizing opioid use, consumers need to feel empowered to engage in opioid reduction or cessation. The findings of this study may facilitate a patient-centred approach for practitioners and guideline developers in creating recommendations and interventions to enable opioid deprescribing through targeting behavioral change.
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In the context of the opioid epidemic and the growing population of older adults living with chronic pain, clinicians are increasingly recommending nonpharmacologic approaches to patients as complements to or substitutes for pharmacologic treatments for pain. Currently, little is known about the factors that influence older adults' use of these approaches. We aimed to characterize the factors that hinder or support the use of nonpharmacologic approaches for pain management among older adults with multiple morbidities. ⋯ We propose and illustrate a conceptual model of barriers and facilitators to guide research and clinical care. This study identifies numerous factors that influence patients' use of nonpharmacologic approaches, some of which are not captured in existing research or routinely addressed in clinical practice. The person-centered model proposed may help to structure and support patient-clinician communication about nonpharmacologic approaches to chronic pain management.
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Poor access to pediatric chronic pain care is a longstanding concern. The COVID-19 pandemic has necessitated virtual care delivery at an unprecedented pace and scale. We conducted a scoping review to create an interactive Evidence and Gap Map of virtual care solutions across a stepped care continuum (ie, from self-directed to specialist care) for youth with chronic pain and their families. ⋯ Evidence and Gap Maps are a novel visual knowledge synthesis tool, which enable rapid evidence-informed decision-making by patients and families, health professionals, and policymakers. This evidence and gap map identified high-quality virtual care solutions for immediate scale and spread and areas with no evidence in need of prioritization. Virtual care should address priorities identified by youth with chronic pain and their families.
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Spinal cord stimulation (SCS) has been suggested as a treatment option for patients with painful diabetic neuropathy (PDN). We conducted a systematic review and undertook a meta-analysis on individual patient data from randomised controlled trials (RCTs) to assess the effectiveness of SCS for the management of PDN. Electronic databases were searched from inception to May 2020 for RCTs of SCS for PDN. ⋯ Increases were observed for health-related quality of life assessed as EQ-5D utility score (pooled MD 0.16, 95% CI: 0.02-0.30) and visual analogue scale (pooled MD 11.21, 95% CI: 2.26-20.16). Our findings demonstrate that SCS is an effective therapeutic adjunct to best medical therapy in reducing pain intensity and improving health-related quality of life in patients with PDN. Large well-reported RCTs with long-term follow-up are required to confirm these results.