Translational research : the journal of laboratory and clinical medicine
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As COVID-19 accelerated throughout 2020, syringe service programs (SSPs) faced challenges necessitating programmatic adaptations to prevent overdose deaths while simultaneously keeping workers and participants safe from COVID-19. We used qualitative methods to gain an understanding of the social context within which SSPs are operating during the COVID-19 pandemic. We conducted 36 in-depth interviews with program representatives from 18 programs and used the Exploration, Preparation, Implementation, Sustainment (EPIS) implementation framework to guide data analysis. ⋯ We observed that many SSPs were short-staffed because of their commitment to safety, and some lost current funding as well as opportunities for future funding. Despite minimal staffing and diminished funding, SSPs innovated at an accelerated pace. To ensure the sustainability of these new approaches, a supportive external context (federal, state, and local policies and funding) is needed to support the development of SSPs' inner contexts (organizational characteristics, characteristics of individuals) and sustainment of the innovations achieved regarding delivery of naloxone and MOUD.
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Pain is a major comorbidity of sickle cell disease (SCD). Patients with SCD may suffer from both acute and chronic pain. Acute pain is caused by recurrent and unpredictable episodes of vaso-occlusive crises (VOC), whereas the exact etiology of chronic pain is still unknown. ⋯ Opioids remain potent analgesics but growing opioid-phobia has led to the realization of an unmet need to develop nonopioid therapies that can provide relief for severe sickle pain. This realization has contributed to the approval of 3 different drugs by the Food and Drug Administration (FDA) for the treatment of SCD, particularly to reduce VOC and/or have an impact on the pathobiology of SCD. In this review, we outline the challenges and need for validation of side-effects of opioids and provide an update on the development of mechanism-based translational therapies, specifically targeting pain in SCD.
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Chronic back and neck pain are highly prevalent conditions that are among the largest drivers of physical disability and cost in the world. Recent clinical practice guidelines recommend use of non-pharmacologic treatments to decrease pain and improve physical function for individuals with back and neck pain. However, delivery of these treatments remains a challenge because common care delivery models for back and neck pain incentivize treatments that are not in the best interests of patients, the overall health system, or society. ⋯ Second, we characterize current use patterns for non-pharmacologic treatments and identify potential barriers to their delivery. Addressing these barriers will require coordinated efforts from multiple stakeholders to prioritize evidence-based non-pharmacologic treatment approaches over low value care for back and neck pain. These stakeholders include patients, health care providers, health care organizations, administrators, payers, policymakers and researchers.
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It is essential that safe and effective treatment options be available to patients suffering from chronic pain. The emergence of an opioid epidemic has shaped public opinions and created stigmas surrounding the use of opioids for the management of pain. ⋯ We will also discuss the safety and efficacy of opioid and nonopioid treatment options for chronic pain. Finally, we will review the evidence for adenylyl cyclase type 1 (AC1) as a novel target for the treatment of chronic pain.
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Review
Assessing opioid overdose risk: A review of clinical prediction models utilizing patient-level data.
Drug, and specifically opioid-related, overdoses remain a major public health problem in the United States. Multiple studies have examined individual risk factors associated with overdose risk, but research developing clinical risk prediction tools for overdose has only emerged in the last few years. We conducted a comprehensive review of the literature on patient-level factors associated with opioid-related overdose risk, with an emphasis on clinical risk prediction models for opioid-related overdose in the United States. ⋯ Thus, efforts to implement prediction models into practice should take into account that published models overestimate overdose risk for many low-risk patients. Future prediction models assessing overdose risk should employ external validation and address model calibration. In order to translate findings from prediction models into clinical public health benefit, future studies should focus on developing clinical prediction tools based on prediction models, implementing these tools into clinical practice, and evaluating the impact of these models on treatment decisions, patient outcomes, and, ultimately, opioid overdose rates.