Educating Nurses on the Use of the Clinical Opiate Withdrawal Scale to Improve Care of Adult Patients Undergoing Buprenorphine Induction.

INTRODUCTION: Opioid addiction disease has become a global health and social problem complicated by drug misuse and abuse (Pearlman, 2016; Rettig & Yarmolinsky, 1995; Watkins, 2016). Buprenorphine, a partial opioid agonist, is an effective treatment for opioid addiction disease (Loreck et al., 2016). Its induction can trigger severe precipitated withdrawal in opioid-dependent patients whose mu receptors are occupied opioids (American Society of Addiction Medicine, 2015). Knowledge of assessing a patient's level of withdrawal using a validated tool is key to successful transition from other opioids to buprenorphine. AIM: The aim of this study was to evaluate the effectiveness of training nurses on the use of the Clinical Opioid Withdrawal Scale (COWS) screening instrument by assessing their confidence in assessing and satisfaction with communicating withdrawal information crucial for patient safety. METHOD: Ten registered nurses and three nurse practitioners working at a mental health community service center completed two surveys at three time points (Pre, Post, and Post-90 days). The first survey measured nurses' confidence in assessing, whereas the second survey measured their satisfaction with communicating withdrawal symptoms. RESULTS: The means' (M) magnitude for both assessment and satisfaction scores increased with time (across Pre, Post, and Post-90). Standard deviations tended to become smaller. Improvements were noted in nurses' confidence in the assessment of and satisfaction in communicating withdrawal symptoms after the intervention. CONCLUSION: Participants expressed increased knowledge, confidence, and satisfaction with the COWS screening instrument. Ultimately, the patients benefited from the participants having more experience, education, skills, and confidence in monitoring withdrawal symptoms depicted by aggregate data of COWS screenings postintervention.

Office-Based Buprenorphine Treatment: Identifying Factors That Promote Retention in Opioid-Dependent Patients.

Opiate addiction is a serious global health issue that profoundly impacts the welfare of populations around the world. Opioid addiction affects an estimated 1.9 million individuals in the United States alone, stimulating a rise in treatment options such as medication-assisted treatment with buprenorphine. When combined with counseling and relapse prevention groups, medication-assisted treatment has proven to be an effective office-based opioid treatment for opiate dependence. Office-based opioid treatment has broadened access to treatment of opioid dependence, has decreased the risk for overdose, and is effective for reducing cravings and opioid use at proper dosing levels. However, treatment retention and relapse remain significant challenges. The purpose of this study was to identify characteristics predictive of retention in treatment time of opioid-dependent individuals receiving office-based buprenorphine treatment. The records of individuals enrolled in a public health office buprenorphine clinic (n = 350) were analyzed to determine retention time in treatment and whether retention time varied by selected individual variables. Participants in the study had a cumulative predicted retention time on buprenorphine of 65% at 30 days, 35% at 6 months, 25% at 12 months, and 18% at 18 months.

Motivational Interviewing to Treat Adolescents With Obesity: A Meta-analysis.

CONTEXT: Successful treatment approaches are needed for obesity in adolescents. Motivational interviewing (MI), a counseling approach designed to enhance behavior change, shows promise in promoting healthy lifestyle changes. OBJECTIVE: Conduct a systematic review of MI for treating overweight and obesity in adolescents and meta-analysis of its effects on anthropometric and cardiometabolic outcomes. DATA SOURCES: We searched Medline, Embase, Cumulative Index to Nursing and Allied Health Literature, PsychINFO, Web of Science, Cochrane Library, and Google Scholar from January 1997 to April 2018. STUDY SELECTION: Four authors reviewed titles, abstracts, and full-text articles. DATA EXTRACTION: Two authors abstracted data and assessed risk of bias and quality of evidence. RESULTS: Seventeen studies met inclusion criteria; 11 were included in the meta-analysis. There were nonsignificant effects on reducing BMI (mean difference [MD] -0.27; 95% confidence interval -0.98 to 0.44) and BMI percentile (MD -1.07; confidence interval -3.63 to 1.48) and no discernable effects on BMI z score, waist circumference, glucose, triglycerides, cholesterol, or fasting insulin. Optimal information size necessary for detecting statistically significant MDs was not met for any outcome. Qualitative synthesis suggests MI may improve health-related behaviors, especially when added to complementary interventions. LIMITATIONS: Small sample sizes, overall moderate risk of bias, and short follow-up periods. CONCLUSIONS: MI alone does not seem effective for treating overweight and obesity in adolescents, but sample size and study dose, delivery, and duration issues complicate interpretation of the results. Larger, longer duration studies may be needed to properly assess MI for weight management in adolescents.