How do people who use drugs experience treatment? A qualitative analysis of views about opioid substitution treatment in primary care (iCARE study)

OBJECTIVE: To understand the most significant aspects of care experienced by people in opioid substitution treatment (OST) in primary care settings. DESIGN: Semistructured individual interviews were conducted, following the critical incidents technique. Interview transcripts were analysed following a thematic analysis approach. PARTICIPANTS: Adults aged 18 years or older, receiving OST in UK-based primary care services. RESULTS: Twenty-four people in OST were interviewed between January and March 2019. Participants reported several aspects which were significant for their treatment, when engaging with the primary care service. These were grouped into 10 major themes: (1) humanised care; (2) individual bond/connection with the professional; (3) professionals' experience and knowledge; (4) having holistic care; (5) familiarity; (6) professionals' commitment and availability to help; (7) anonymity; (8) location; (9) collaborative teamwork; and (10) flexibility and changes around the treatment plan. CONCLUSIONS: This study included first-hand accounts of people who use drugs about what supports them in their recovery journey. The key lessons learnt from our findings indicate that people who use drugs value receiving treatment in humanised and destigmatised environments. We also learnt that a good relationship with primary care professionals supports their recovery journey, and that treatment plans should be flexible, tailor-made and collaboratively designed with patients

Educational effectiveness of gynaecological teaching associates: a multi-centre randomised controlled trial

This trial was funded by The Medical College St Bartholo-mew’s Hospital Trust (reference number: 8368137)

Online patient simulation training to improve clinical reasoning: a feasibility randomised controlled trial

Online patient simulations (OPS) are a novel method for teaching clinical reasoning skills to students and could contribute to reducing diagnostic errors. However, little is known about how best to implement and evaluate OPS in medical curricula. The aim of this study was to assess the feasibility, acceptability and potential effects of eCREST — the electronic Clinical Reasoning Educational Simulation Tool

Akathisia and Newer Second‐Generation Antipsychotic Drugs: A Review of Current Evidence

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155998/1/phar2404_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/155998/2/phar2404.pd

Tutoring Multilingual Students: Shattering the Myths

This is the author's accepted manuscript, made available 18 months after publication with the permission of the publisher.The increasing linguistic and cultural diversification of North America has resulted in large numbers of multilingual students attending college and university and seeking curricular and extracurricular support with reading and writing (Ruecker, 2011; Teranishi, C. Suárez-Orozco, & M. Suárez-Orozco, 2011). In the past, learning and writing centers hired “ESL specialists” to provide support. But this model, given the ubiquity of multilingual students in higher education today, is no longer sustainable. Instead, all tutors must learn the skills necessary to support the academic literacy development of these writers, and that means that the way tutors are trained must change. Because the lived reality of the majority of tutors (and center administrators) is monolingual (Bailey, 2012; Barron & Grimm, 2002), examining the myths generally held about multilingual students is essential to both our development as tutors and the development of our students as academic readers and writers of English. Only after raising critical awareness about these “misguided ideas” will training specific to tutoring multilingual students make sense and be put into practice (Gillespie & Lerner, 2008, p. 117). In this article, I present and challenge myths about multilingual writers and myths about how to tutor them

A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients

INTRODUCTION: The Oncotype DX assay was recently reported to predict risk for distant recurrence among a clinical trial population of tamoxifen-treated patients with lymph node-negative, estrogen receptor (ER)-positive breast cancer. To confirm and extend these findings, we evaluated the performance of this 21-gene assay among node-negative patients from a community hospital setting. METHODS: A case-control study was conducted among 4,964 Kaiser Permanente patients diagnosed with node-negative invasive breast cancer from 1985 to 1994 and not treated with adjuvant chemotherapy. Cases (n = 220) were patients who died from breast cancer. Controls (n = 570) were breast cancer patients who were individually matched to cases with respect to age, race, adjuvant tamoxifen, medical facility and diagnosis year, and were alive at the date of death of their matched case. Using an RT-PCR assay, archived tumor tissues were analyzed for expression levels of 16 cancer-related and five reference genes, and a summary risk score (the Recurrence Score) was calculated for each patient. Conditional logistic regression methods were used to estimate the association between risk of breast cancer death and Recurrence Score. RESULTS: After adjusting for tumor size and grade, the Recurrence Score was associated with risk of breast cancer death in ER-positive, tamoxifen-treated and -untreated patients (P = 0.003 and P = 0.03, respectively). At 10 years, the risks for breast cancer death in ER-positive, tamoxifen-treated patients were 2.8% (95% confidence interval [CI] 1.7–3.9%), 10.7% (95% CI 6.3–14.9%), and 15.5% (95% CI 7.6–22.8%) for those in the low, intermediate and high risk Recurrence Score groups, respectively. They were 6.2% (95% CI 4.5–7.9%), 17.8% (95% CI 11.8–23.3%), and 19.9% (95% CI 14.2–25.2%) for ER-positive patients not treated with tamoxifen. In both the tamoxifen-treated and -untreated groups, approximately 50% of patients had low risk Recurrence Score values. CONCLUSION: In this large, population-based study of lymph node-negative patients not treated with chemotherapy, the Recurrence Score was strongly associated with risk of breast cancer death among ER-positive, tamoxifen-treated and -untreated patients

Online patient simulation training to improve clinical reasoning: a feasibility randomised controlled trial

Background Online patient simulations (OPS) are a novel method for teaching clinical reasoning skills to students and could contribute to reducing diagnostic errors. However, little is known about how best to implement and evaluate OPS in medical curricula. The aim of this study was to assess the feasibility, acceptability and potential effects of eCREST — the electronic Clinical Reasoning Educational Simulation Tool. Methods A feasibility randomised controlled trial was conducted with final year undergraduate students from three UK medical schools in academic year 2016/2017 (cohort one) and 2017/2018 (cohort two). Student volunteers were recruited in cohort one via email and on teaching days, and in cohort two eCREST was also integrated into a relevant module in the curriculum. The intervention group received three patient cases and the control group received teaching as usual; allocation ratio was 1:1. Researchers were blind to allocation. Clinical reasoning skills were measured using a survey after 1 week and a patient case after 1 month. Results Across schools, 264 students participated (18.2% of all eligible). Cohort two had greater uptake (183/833, 22%) than cohort one (81/621, 13%). After 1 week, 99/137 (72%) of the intervention and 86/127 (68%) of the control group remained in the study. eCREST improved students’ ability to gather essential information from patients over controls (OR = 1.4; 95% CI 1.1–1.7, n = 148). Of the intervention group, most (80/98, 82%) agreed eCREST helped them to learn clinical reasoning skills. Conclusions eCREST was highly acceptable and improved data gathering skills that could reduce diagnostic errors. Uptake was low but improved when integrated into course delivery. A summative trial is needed to estimate effectiveness

Development and validation of a bayesian model for perioperative cardiac risk assessment in a cohort of 1,081 vascular surgical candidates

Objectives. This study sought to develop and validate a Bayesian risk prediction model for vascular surgery candidates. Background. Patients who require surgical treatment of peripheral vascular disease are at increased risk of perioperative cardiac morbidity and mortality. Existing prediction models tend to underestimate risk in vascular surgery candidates. Methods. The cohort comprised 1,081 consecutive vascular surgery candidates at five medical centers. Of these, 567 patients from two centers (“training” set) were used to develop the model, and 514 patients from three centers were used to validate it (“validation” set). Risk scores were developed using logistic regression for clinical variables advanced age (70 years), angina, history of myocardial infarction diabetes mellitus, history of congestive heart failure and prior coronary revascularization. A second model was developed from dipyridamole-thallium predictors of myocardial infarction (i.e., fixed and reversible myocardial defects and ST changes). Model performance was assessed by comparing observed event rates with risk estimates and by performancing receiver-operating characteristic curve (ROC) analysis. Results. The postoperative cardiac event rate was 8% for both sets. Prognostic accuracy (i.e., ROC area) was 74 ± 3% (mean ± SD) for the clinical and 81 ± 3% for the clinical and dipyridamole-thallium models. Among the validation sets, areas were 74 ± 9%, 72 ± 7% and 76 ± 5% for each center. Observed and estimated rates were comparable for both sets. By the clinical model, the observed rates were 3%, 8% and 18% for patients classified as low, moderate and high risk by clinical factors (p < 0.0001). The addition of dipyridamole-thallium data reclassified 80% of the moderate risk patients into low (3%) and high (19%) risk categories (p < 0.0001) but provided no stratification for patients classified as low or high risk according to the clinical model. Conclusions. Simple clinical markers, weighted according to prognostic impact, will reliably stratify risk in vascular surgery candidates referred for dipyridamole-thallium testing, thus obviating the need for the more expensive testing. Our prediction model retains its prognostic accuracy when applied to the validation sets and can reliably estimate risk in this group