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Prescription monitoring programs (PMPs) house and monitor data about the prescribing practices of health care providers, as well as medications received by patients. PMPs aim to promote the appropriate use of prescription opioids by providing this information to prescribers and dispensers. Our objective in this systematic review was to comprehensively identify and assess the available evidence about the impact of PMPs on opioid prescribing and dispensing, multiple provider use for obtaining opioids, inappropriate opioid prescribing, and the extent of nonmedical prescription opioid use. We used a comprehensive search strategy and included study designs that could determine changes in outcomes with the implementation of a PMP. We included 24 studies; 75% of studies were conducted in the United States, and studies encompassed data years from 1993 to 2014. Overall, we did not find evidence to support an association between PMPs and decreased opioid prescribing and dispensing. We found limited, but inconsistent, evidence that PMPs were associated with reduced schedule II opioid prescribing and dispensing, as well as multiple provider use. Covariate adjustment was often inadequate in analyses, as was the timing of outcome and PMP measurement. Future studies should broaden their geographic scope to other countries and use more recent data with standard measurement. PERSPECTIVE: This systematic review aimed to determine the effectiveness of PMPs in changing prescribing practices and prescription opioid use. The findings from this review will inform policymakers and PMP administrators about the current state of the evidence on program effectiveness., (Copyright © 2019 the American Pain Society. Published by Elsevier Inc. All rights reserved.)

Background: Low back pain is one of the most common and disabling health problems in Canada and internationally. In most cases, low back pain is a benign, self-limiting condition that can be managed with little diagnostic investigation or treatment. Yet contrary to clinical practice guideline recommendations, diagnostic imaging (here meaning X-ray, MRI, CT) is commonly used in the assessment of low back pain. Diagnostic imaging is of limited value in most cases, exposing patients to unnecessary radiation and leading to increased health services use and worse patient health outcomes. The Choosing Wisely campaign has highlighted the need to reduce diagnostic imaging for low back pain; however, no clinical decision rules are available., Methods: This project will develop a clinical decision support tool for appropriate use of diagnostic imaging for patients with low back pain in the emergency department. We will conduct a prospective cohort study at five Canadian emergency departments. The study will follow recommendations for prediction model development and testing. The study population will be 4000 patients presenting to the emergency department with low back pain. We will assess potential clinical indications of emergent-cause (i.e., "red flag" items), including clinical characteristics and past history. Our outcome, emergent-cause for low back pain such as fracture, cancer, infection, or cauda equina syndrome, will be assessed at discharge and at 1-, 3-, and 12-month follow-up periods using information from self-report and health administrative data. We will construct and assess the performance of a multivariable prediction model that has strong measurement properties, presented as a clinical decision support tool acceptable to knowledge users., Discussion: Practice guidelines describe "red flags" for which diagnostic imaging is likely appropriate. However, recommendations across guidelines are discordant, and few studies have evaluated these criteria to determine which characteristics best predict emergent etiology that warrant diagnostic imaging. A clinical decision support tool, that recommends diagnostic imaging where appropriate, has the potential to improve clinical care and patient outcomes and reduce costs associated with managing low back pain patients., Competing Interests: Ethical approval has been obtained by the Nova Scotia Health Authority (NSHA) Research Ethics Board (ROMEO File # 1023090).Not applicable.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Objectives: This study aimed to assess chiropractors' awareness of clinical practice guidelines for low back pain and to identify barriers and facilitators to the screening and management of psychosocial factors in patients with low back pain., Methods: This qualitative study used semi-structured interviews informed by the Theoretical Domains Framework with 10 Nova Scotian chiropractors who were members of a practice-based research network., Results: The participants correctly identified what the guidelines generally recommend and described the value of psychosocial factors; however, none of the participants could name specific clinical practice guidelines for low back pain. We identified 6 themes related to barriers and facilitators for chiropractors screening and managing psychosocial factors. The themes revolved around the participants' desire to fulfill patients' anatomy-focused treatment expectations and a perceived lack of training for managing psychosocial factors. Participants had concerns about going beyond the chiropractic scope of practice, and they perceived a lack of practical psychosocial screening and management resources. Social factors, such as the influence of other health care practitioners, were reported as both barriers and facilitators to screening and managing psychosocial factors., Conclusions: The participants in this study reported that they mostly treated with an anatomical and biomechanical focus and that they did not always address psychosocial factors identified in their patients with low back pain. Although these findings are limited to Nova Scotian chiropractors, the barriers identified appeared to be potentially modifiable and could be considered in other groups. Low-cost interventions, such as continuing education using evidence-informed behavior change techniques, could be considered to address these barriers., (Copyright © 2017. Published by Elsevier Inc.)

Purpose Our objective was to develop a clinical prediction model to identify workers with sustainable employment following an episode of work-related low back pain (LBP). Methods We used data from a cohort study of injured workers with incident LBP claims in the USA to predict employment patterns 1 and 6 months following a workers' compensation claim. We developed three sequential models to determine the contribution of three domains of variables: (1) basic demographic/clinical variables; (2) health-related variables; and (3) work-related factors. Multivariable logistic regression was used to develop the predictive models. We constructed receiver operator curves and used the c-index to measure predictive accuracy. Results Seventy-nine percent and 77 % of workers had sustainable employment at 1 and 6 months, respectively. Sustainable employment at 1 month was predicted by initial back pain intensity, mental health-related quality of life, claim litigation and employer type (c-index = 0.77). At 6 months, sustainable employment was predicted by physical and mental health-related quality of life, claim litigation and employer type (c-index = 0.77). Adding health-related and work-related variables to models improved predictive accuracy by 8.5 and 10 % at 1 and 6 months respectively. Conclusion We developed clinically-relevant models to predict sustainable employment in injured workers who made a workers' compensation claim for LBP. Inquiring about back pain intensity, physical and mental health-related quality of life, claim litigation and employer type may be beneficial in developing programs of care. Our models need to be validated in other populations.