Addiction is a context specific but common and devastating condition. Though several evidence-based treatments are available, many of them remain under-utilized, among others due to the lack of adequate training in addiction medicine (AM). AM Training needs may differ across countries because of difference in discipline and level of prior AM training or contextual factors like epidemiology and availability of treatment. For appropriate testing of training needs, reliability and validity are key issues. The aim of this study was to evaluate the psychometric properties of the AM-TNA Scale: an instrument specifically designed to develop the competence-based curriculum of the Indonesian AM course. In a cross-sectional study in Indonesia, Ireland, Lithuania and the Netherlands the AM-TNA was distributed among a convenience sample of health professionals working in addiction care in The Netherlands, Lithuania, Indonesia and General Practitioners in-training in Ireland. 428 respondents completed the AM-TNA scale. To assess the factor structure, we used explorative factor analysis. Reliability was tested using Cronbach's Alpha, ANOVA determined the discriminative validity. Validity: factor analysis revealed a two-factor structure: One on providing direct patient treatment and care (Factor 1: clinical) and one factor on facilitating/supporting direct patient treatment and care (Factor 2: non-clinical) AM competencies and a cumulative 76% explained variance. Reliability: Factor 1 α = 0.983 and Factor 2: α = 0.956, while overall reliability was (α = 0.986). The AM-TNA was able to differentiate training needs across groups of AM professionals on all 30 addiction medicine competencies (P = .001). In our study the AM-TNA scale had a strong two-factor structure and proofed to be a reliable and valid instrument. The next step should be the testing external validity, strengthening discriminant validity and assessing the re-test effect and measuring changes over time.

Anti-microbial resistance (AMR) is a global threat to public health and antibiotics are often unnecessarily prescribed for acute respiratory tract infections (ARTIs) in general practice. We aimed to investigate why general practitioners (GPs) continue to prescribe antibiotics for ARTIs despite increasing knowledge of their poor efficacy and worsening antimicrobial resistance. We used an explorative qualitative study design. Thirteen GPs were recruited through purposive sampling to represent urban and rural settings and years of experience. They were based in general practices within the Mid-West of Ireland. GPs took part in semi-structured interviews that were digitally audio recorded and transcribed. Three main themes and three subthemes were identified. Themes include (1) non-comprehensive guidelines; how guideline adherence can be difficult, (2) GPs under pressure; pressures to prescribe from patients and perceived patient expectations and (3) Unnecessary prescribing; how to address it and the potential of public interventions to reduce it. GPs acknowledge their failure to implement guidelines because they feel they are less usable in clinical situations. GPs felt pressurised to prescribe, especially for fee-paying patients and in out of hours settings (OOH), suggesting the need for interventions that target the public's perceptions of antibiotics. GPs behaviours surrounding prescribing antibiotics need to change in order to reduce AMR and change patients' expectations.

Opioid agonist therapy (OAT) is a first-line treatment for opioid use disorder (OUD); however, the efficacy and role of urine drug screening (UDS) in OAT has received little research attention. Prior evidence suggests that UDS frequency reflects philosophy and practice context rather than differences in patient characteristics or clinical need. Therefore, we reviewed the literature on the effect of and recommendations for the frequency of UDS on health outcomes for persons with OUD who receive OAT. We searched Medline and EMBASE for articles published from 1995-2017. Search results underwent double, independent review with discrepancies resolved through discussion with a third reviewer, when necessary. Additional articles were identified through snowball searching, hand searching (Google Scholar), and expert consultation. The Cochrane tool was used to assess risk of bias. Of the 60 potentially eligible articles reviewed, only one three-arm randomized open-label trial, comparing weekly and monthly UDS testing with take-home OAT doses, met our inclusion criteria. Our review identified an urgent gap in research evidence underpinning an area of clinical importance and that is routinely reported by patients as an area of concern.

Hospital-based clinical addiction medicine training can improve knowledge of clinical care for substance-using populations. However, application of structured, self-assessment tools to evaluate differences in knowledge gained by learners who participate in such training has not yet been addressed. Participants (n = 142) of an elective with the hospital-based Addiction Medicine Consult Team (AMCT) in Vancouver, Canada, responded to an online self-evaluation survey before and immediately after the structured elective. Areas covered included substance use screening, history taking, signs and symptoms examination, withdrawal treatment, relapse prevention, nicotine use disorders, opioid use disorders, safe prescribing, and the biology of substance use disorders. A purposefully selected sample of 18 trainees were invited to participate in qualitative interviews that elicited feedback on the rotation. Of 168 invited trainees, 142 (84.5%) completed both pre- and post-rotation self-assessments between May 2015 and May 2017. Follow-up participants included medical students, residents, addiction medicine fellows, and family physicians in practice. Self-assessed knowledge of addiction medicine increased significantly post-rotation (mean difference in scores = 11.87 out of the maximum possible 63 points, standard deviation = 17.00; P < .0001). Medical students were found to have the most significant improvement in addiction knowledge (estimated mean difference = 4.43, 95% confidence interval = 0.76, 8.09; P = .018). Illustrative quotes describe the dynamics involved in the learning process among trainees. Completion of a hospital-based clinical elective was associated with improved knowledge of addiction medicine. Medical students appear to benefit more from the addiction elective with a hospital-based AMCT than other types of learners.

There is increasing interest in the potential use of outdoor water environments, or blue space, in the promotion of human health and wellbeing. However, therapeutic nature-based practices are currently outpacing policy and the evidence base for health or wellbeing benefits of therapeutic interventions within blue space has not been systematically assessed. This systematic review aims to address the gap in understanding the impacts of blue space within existing interventions for targeted individuals. A systematic review was carried out, searching Google Scholar, SCOPUS, PubMed, etc. through to August 2017. Only blue space interventions were included that were specifically designed and structured with a therapeutic purpose for individuals with a defined need and did not include nature-based promotion projects or casual recreation in the outdoors. Thirty-three studies met the inclusion criteria and were assessed. Overall, the studies suggest that blue care can have direct benefit for health, especially mental health and psycho-social wellbeing. The majority of papers found a positive or weak association between blue care and health and wellbeing indicators. There was also some evidence for greater social connectedness during and after interventions, but results were inconsistent and mixed across studies with very few findings for physical health. This is the first systematic review of the literature on blue care. In summary, it has been shown that mental health, especially psycho-social wellbeing, can be improved with investment in blue spaces. Key areas for future research include improving understanding of the mechanisms through which blue care can improve public health promotion.