Improving the self-efficacy, knowledge, and attitude of nurses regarding concurrent disorder care : results from a prospective cohort study of an interprofessional, videoconference-based programme using the ECHO model

Several challenges have been identified for patients with concurrent disorders to access adequate services and for nurses to care for them. These challenges contribute to a pressing need for continuing educational interventions, particularly within the mental health nursing workforce. To address this issue, an innovative interprofessional videoconferencing programme based on the ECHO model (Extension for Community Healthcare Outcomes) was implemented in Quebec, Canada to support and build capacity among healthcare professionals for CD management. The aim of this prospective cohort study was to examine nurses’ self-efficacy, knowledge, and attitude scores over a 12-month period. All nurses who registered in the programme between 2018 and 2020 were invited to participate in the study (N = 65). The data were collected online using a self-administered survey at baseline, after 6 months, and then 12 months following entry-to-programme. Twenty-eight nurses participated in the study (96.4% women), with a mean age of 39.1 (SD = 6.2). Compared to other professions (n = 146/174), the group of nurses also showed significant improvements in their knowledge and attitude scores, with respective effect sizes of 0.72 and 0.44 at 6 months, and 0.94 and 0.59 at 12 months. However, significant changes in self-efficacy were only found at the 12-month follow-up (P = 0.0213), among the nurses who attended more than 25% of the 20-session curriculum. ECHO is a promising intervention to improve the accessibility of evidence-based practice and to support nurses in suitably managing concurrent disorders. Further research is needed to establish the effectiveness of this educational intervention on clinical nursing practice and patient outcomes

Evaluating preferences for online psychological interventions to decrease cannabis use in young adults with psychosis : an observational study

Innovative technology-based solutions have the potential to improve access to clinically proven interventions for cannabis use disorder (CUD) in individuals with first episode psychosis (FEP). High patient engagement with app-based interventions is critical for achieving optimal outcomes. 104 individuals 18 to 35 years old with FEP and CUD from three Canadian provinces completed an electronic survey to evaluate preferences for online psychological intervention intensity, participation autonomy, feedback related to cannabis use, and technology platforms and app functionalities. The development of the questionnaire was informed by a qualitative study that included patients and clinicians. We used Best-Worst Scaling (BWS) and item ranking methodologies to measure preferences. Conditional logistic regression models for BWS data revealed high preferences for moderate intervention intensity (e.g., modules with a length of 15 min) and treatment autonomy that included preferences for using technology-based interventions and receiving feedback related to cannabis use once a week. Luce regression models for rank items revealed high preferences for smartphone-based apps, video intervention components, and having access to synchronous communications with clinicians and gamification elements. Results informed the development of iCanChange (iCC), a smartphone-based intervention for the treatment of CUD in individuals with FEP that is undergoing clinical testing

Adherence to colorectal cancer screening guidelines in Canada

<p>Abstract</p> <p>Background</p> <p>To identify correlates of adherence to colorectal cancer (CRC) screening guidelines in average-risk Canadians.</p> <p>Methods</p> <p>2003 Canadian Community Health Survey Cycle 2.1 respondents who were at least 50 years old, without past or present CRC and living in Ontario, Newfoundland, Saskatchewan, and British Columbia were included. Outcomes, defined according to current CRC screening guidelines, included adherence to: i) fecal occult blood test (FOBT) (in prior 2 years), ii) endoscopy (colonoscopy/sigmoidoscopy) (prior 10 years), and iii) adherence to CRC screening guidelines, defined as either (i) or (ii). Generalized estimating equations regression was employed to identify correlates of the study outcomes.</p> <p>Results</p> <p>Of the 17,498 respondents, 70% were non-adherent CRC screening to guidelines. Specifically, 85% and 79% were non-adherent to FOBT and endoscopy, respectively. Correlates for all outcomes were: having a regular physician (OR = (i) 2.68; (ii) 1.91; (iii) 2.39), getting a flu shot (OR = (i) 1.59; (ii) 1.51; (iii) 1.55), and having a chronic condition (OR = (i) 1.32; (ii) 1.48; (iii) 1.43). Greater physical activity, higher consumption of fruits and vegetables and smoking cessation were each associated with at least 1 outcome. Self-perceived stress was modestly associated with increased odds of adherence to endoscopy and to CRC screening guidelines (OR = (ii) 1.07; (iii) 1.06, respectively).</p> <p>Conclusion</p> <p>Healthy lifestyle behaviors and factors that motivate people to seek health care were associated with adherence, implying that invitations for CRC screening should come from sources that are independent of physicians, such as the government, in order to reduce disparities in CRC screening.</p

Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality.

peer reviewedDespite advances in COVID-19 management, identifying patients evolving toward death remains challenging. To identify early predictors of mortality within 60 days of symptom onset (DSO), we performed immunovirological assessments on plasma from 279 individuals. On samples collected at DSO11 in a discovery cohort, high severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral RNA (vRNA), low receptor binding domain–specific immunoglobulin G and antibody-dependent cellular cytotoxicity, and elevated cytokines and tissue injury markers were strongly associated with mortality, including in patients on mechanical ventilation. A three-variable model of vRNA, with predefined adjustment by age and sex, robustly identified patients with fatal outcome (adjusted hazard ratio for log-transformed vRNA = 3.5). This model remained robust in independent validation and confirmation cohorts. Since plasma vRNA’s predictive accuracy was maintained at earlier time points, its quantitation can help us understand disease heterogeneity and identify patients who may benefit from new therapies

Two-Way Classification of a Data Table with Non Negative Entries: The Role of the χ2 Distance and Correspondence Analysis

International audienceWe developed an approach to two-way classification based on the χ2 distance and Correspondence Analysis. We present, in particular, two classification algorithms: the first one operates a dimension reduction before applying clustering techniques to rows and columns. The second one, successively partitions the data matrix to extract several classification schemes rather than one. Applications to gene expression and web data are presented. The results are compared with an optimal partition algorithm

A systematic review and meta-analysis to determine the effect of sperm DNA damage on in vitro fertilization and intracytoplasmic sperm injection outcome

Sperm DNA damage is prevalent among infertile men and is known to influence natural reproduction. However, the impact of sperm DNA damage on assisted reproduction outcomes remains controversial. Here, we conducted a meta-analysis of studies on sperm DNA damage (assessed by SCSA, TUNEL, SCD, or Comet assay) and clinical pregnancy after IVF and/or ICSI treatment from MEDLINE, EMBASE, and PUBMED database searches for this analysis. We identified 41 articles (with a total of 56 studies) including 16 IVF studies, 24 ICSI studies, and 16 mixed (IVF + ICSI) studies. These studies measured DNA damage (by one of four assays: 23 SCSA, 18 TUNEL, 8 SCD, and 7 Comet) and included a total of 8068 treatment cycles (3734 IVF, 2282 ICSI, and 2052 mixed IVF + ICSI). The combined OR of 1.68 (95% CI: 1.49-1.89; P < 0.0001) indicates that sperm DNA damage affects clinical pregnancy following IVF and/or ICSI treatment. In addition, the combined OR estimates of IVF (16 estimates, OR = 1.65; 95% CI: 1.34-2.04; P < 0.0001), ICSI (24 estimates, OR = 1.31; 95% CI: 1.08-1.59; P = 0.0068), and mixed IVF + ICSI studies (16 estimates, OR = 2.37; 95% CI: 1.89-2.97; P < 0.0001) were also statistically significant. There is sufficient evidence in the existing literature suggesting that sperm DNA damage has a negative effect on clinical pregnancy following IVF and/or ICSI treatment

Locally linear regression and the calibration problem for Micro-Array analysis

We review the concept of locally linear regression and its relationship to Diday’s Nuées Dynamiques and to tree-structured linear regression. We describe the calibration problem in microarray analysis and propose a Bayesian approach based on tree-structured linear regression. Using the proposed approach, we analyze a subset of a large data set from an Affymetrix microarray calibration experiment. In this example, a tree-structured regression model outperforms a multiple regression model. We calculated 95% Credible Intervals for a sample of the data, obtaining reasonably good results. Future research will consider and compare several other approaches to locally linear regression