TY - JOUR T1 - Opioid reduction for patients with chronic pain in primary care: systematic review JF - British Journal of General Practice JO - Br J Gen Pract DO - 10.3399/BJGP.2021.0537 SP - BJGP.2021.0537 AU - Loes de Kleijn AU - Julie Pedersen AU - Hanneke Rijkels-Otters AU - Alessandro Chiarotto AU - Bart Koes Y1 - 2022/01/11 UR - http://bjgp.org/content/early/2022/01/11/BJGP.2021.0537.abstract N2 - Background: Long-term opioid treatment in patients with chronic pain is often ineffective and possibly harmful. These patients are often managed by general practitioners, who are calling for a clear overview of effective opioid reduction strategies for primary care. Aim: Evaluate effectiveness of opioid reduction strategies applicable in primary care for patients with chronic pain on long-term opioid treatment. Design: Systematic review of controlled trials and cohort studies. Method Literature search conducted in Embase, Medline, Web of Science, Cochrane CENTRAL register of trials, CINAHL, Google Scholar and PsychInfo. Studies evaluating opioid reduction interventions applicable in primary care among adults with long-term opioid treatment for chronic non-cancer pain were included. Risk of bias was assessed using Cochrane risk of bias (RoB) 2.0 tool or Risk-of-Bias in Non-randomized studies of Interventions (ROBINS-I) tool. Narrative synthesis was performed due to clinical heterogeneity in study designs and types of interventions. Results: Five RCTs and five cohort studies were included (total n= 1717, range 35-985) exploring various opioid reduction strategies. Six studies had high RoB, three moderate RoB, and one low RoB. Three cohort studies investigating a GP supervised opioid taper (critical ROBINS-I), an integrative pain treatment (moderate ROBINS-I) and group medical visits (critical ROBINS-I) demonstrated significant between-group opioid reduction. Conclusion: Results carefully point in the direction of a GP supervised tapering and multidisciplinary group therapeutic sessions to reduce long term opioid treatment. However, due to high risk of bias and small sample sizes, no firm conclusions can be made demonstrating need for more high-quality research. ER -