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Introduction. Les thérapeutes respiratoires ont été confrontés à des situations moralement difficiles tout au long de la pandémie de COVID-19, en particulier le fait d’avoir peu de ressources pour effectuer leur travail ou encore la participation à des appels vidéo avec les familles de patients mourants. La détresse morale (c’est-à-dire la détresse psychologique résultant de l’interdiction de suivre un plan d’action reconnu et approprié d’un point de vue éthique) est associée à une foule de conséquences psychologiques et fonctionnelles négatives (dépression, anxiété, symptômes du trouble de stress post‑traumatique [TSPT], déficience fonctionnelle, etc.) et au fait d’envisager de quitter son poste. L’objectif de cette étude était de comprendre l’effet de la détresse morale et de ses conséquences psychologiques et fonctionnelles sur le fait que des thérapeutes respiratoires canadiens aient envisagé de quitter leur poste clinique pendant la pandémie de COVID‑19.Méthodologie.Des thérapeutes respiratoires canadiens (N = 213) ont répondu à un sondage en ligne entre février et juin 2021. Des caractéristiques inividuelles de base (âge, sexe/genre, etc.) ont été recueillies, ainsi que des mesures psychométriques validées de la détresse morale, de la dépression, de l’anxiété, du stress, du TSPT, de la dissociation, de la déficience fonctionnelle, de la résilience et des expériences négatives vécues durant l’enfance.Résultats. Un thérapeute respiratoire sur quatre a déclaré envisager de quitter son poste en raison d’une détresse morale. Ceux qui envisageaient de le faire ont fait état de niveaux élevés de détresse morale et de conséquences psychologiques et fonctionnelles négatives comparativement aux thérapeutes respiratoires qui n’envisageaient pas de quitter leur poste. Plus de la moitié (54,5 %) de ceux qui envisageaient de quitter leur poste ont obtenu un score supérieur au seuil indiquant un diagnostic potentiel de TSPT. Le fait d’avoir déjà envisagé de quitter un poste auparavant en raison d’une détresse morale et le fait d’avoir effectivement quitté un poste antérieur augmentaient significativement la probabilité d’envisager de quitter son poste, tout comme la détresse morale liée au système et les symptômes de TSPT, mais la contribution de ces derniers facteurs était faible.Conclusion.Les thérapeutes respiratoires canadiens qui envisageaient de quitter leur poste en raison d’une détresse morale ont signalé des niveaux élevés de détresse et de conséquences psychologiques et fonctionnelles négatives. Il semble néanmoins peu probable que ces facteurs individuels soient les principaux facteurs pour lesquels ils envisageaient de quitter leur poste, car les effets en étaient faibles. D’autres recherches sont nécessaires pour cerner les facteurs organisationnels plus vastes susceptibles d’inciter les thérapeutes respiratoires canadiens à vouloir quitter leur poste.

Background The Pittsburgh Sleep Quality Index (PSQI) dimensionality is much debated, with the greatest number of reported factor structures. Therefore, this review appraised the methodologies of studies investigating the factor structure of the PSQI. Material and methods MEDLINE, PsycInfo, AJOL, BASE, Cochrane Library, Directory of Open Access Journals (Lund University), CINAHL, and Embase were searched systematically to include articles published till 23rd March, 2018. The articles with the objective of factor analysis of the PSQI (20 articles) or with a major section on the same subject (25 articles) were included. There was no limitation about participant characteristics. Descriptive analysis of articles for measures of the suitability of the data for factor analysis, details of the exploratory factor analysis (EFA) and details of the confirmatory factor analysis (CFA) was performed. Results The analysis used by the majority did not employ the simplest scheme for interpreting the observed data: the parsimony principle. Other shortcomings included under- or non-reporting of sample adequacy measures (11 out of 45 articles), non-use of EFA (20 out of 45 articles), use of EFA without relevant details, non-use of CFA (11 out of 45 articles), and use of CFA without relevant details. Overall, 31 out of 45 articles did not use either EFA or CFA. Conclusion We conclude that the various PSQI factor structures for standard sleep assessment in research and clinical settings may need further validation. Trial registration Not applicable because this was a review of existing literature.

It is often necessary to dichotomize a continuous scale to separate respondents into normal and abnormal groups. However, because the distributions of the scores in these 2 groups most often overlap, any cut point that is chosen will result in 2 types of errors: false negatives (that is, abnormal cases judged to be normal) and false positives (that is, normal cases placed in the abnormal group). Changing the cut point will alter the numbers of erroneous judgments but will not eliminate the problem. A technique called receiver operating characteristic (ROC) curves allows us to determine the ability of a test to discriminate between groups, to choose the optimal cut point, and to compare the performance of 2 or more tests. We discuss how to calculate and compare ROC curves and the factors that must be considered in choosing an optimal cut point.

The current lack of pharmacological treatments for cannabis use disorder (CUD) warrants novel approaches and further investigation of promising pharmacotherapy. We previously showed that nabiximols (27 mg/ml Δ9-tetrahydrocannabinol (THC)/ 25 mg/ml cannabidiol (CBD), Sativex®) can decrease cannabis withdrawal symptoms. Here, we assessed in a pilot study the tolerability and safety of self-titrated nabiximols vs. placebo among 40 treatment-seeking cannabis-dependent participants. Subjects participated in a double blind randomized clinical trial, with as-needed nabiximols up to 113.4 mg THC/105 mg CBD or placebo daily for 12 weeks, concurrently with Motivational Enhancement Therapy and Cognitive Behavioral Therapy (MET/CBT). Primary outcome measures were tolerability and abstinence, secondary outcome measures were days and amount of cannabis use, withdrawal, and craving scores. Participants received up to CDN$ 855 in compensation for their time. Medication was well tolerated and no serious adverse events (SAEs) were observed. Rates of adverse events did not differ between treatment arms (F1,39 = 0.205, NS). There was no significant change in abstinence rates at trial end. Participants were not able to differentiate between subjective effects associated with nabiximols or placebo treatments (F1,40 = 0.585, NS). Cannabis use was reduced in the nabiximols (70.5%) and placebo groups (42.6%). Nabiximols reduced cannabis craving but no significant differences between the nabiximols and placebo groups were observed on withdrawal scores. Nabiximols in combination with MET/CBT was well tolerated and allowed for reduction of cannabis use. Future clinical trials should explore the potential of high doses of nabiximols for cannabis dependence.

Path analysis is an extension of multiple regression. It goes beyond regression in that it allows for the analysis of more complicated models. In particular, it can examine situations in which there are several final dependent variables and those in which there are “chains” of influence, in that variable A influences variable B, which in turn affects variable C. Despite its previous name of “causal modelling,” path analysis cannot be used to establish causality or even to determine whether a specific model is correct; it can only determine whether the data are consistent with the model. However, it is extremely powerful for examining complex models and for comparing different models to determine which one best fits the data. As with many techniques, path analysis has its own unique nomenclature, assumptions, and conventions, which are discussed in this paper.

Background We have previously developed and reported on a procedure for estimating the purported benefits of immunity mandates using a novel variant of the number needed to treat (NNT) which we called the number needed to isolate (NNI). Here we demonstrate its broader properties as a useful population health metric. Main body The NNI is analogous to the number needed to treat (NNT = 1/ARR), except the absolute risk reduction (ARR) is the absolute transmission risk in a specific population. The NNI is the number of susceptible hosts in a population who need to be isolated to prevent one transmission event from them. The properties and utility of the NNI were modeled using simulated data and its model predictions were validated using real world data. The properties of the NNI are described for three categories of data from a previous study on transmissibility of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): (1) in different settings, (2) after a specific exposure and (3) depending on symptomaticity status of susceptible hosts. Conclusions We provide a demonstration of the utility of the NNI as a valuable population health metric to quantify the transmission reductions from isolation interventions.

In many trials, interim analyses are often performed to decide whether the trial should be terminated early, for a variety of reasons. These reasons may include an imbalance in adverse events in one group versus the other(s), a situation in which, given the sample size, it would be impossible to demonstrate superiority of one treatment (futility) or a significant difference between groups. This commentary argues that ending a trial prematurely for the latter reason is fraught with problems and often results in an overestimation of the effect that would have been obtained were the trial allowed to continue. It concludes that stopping a trial early for apparent superiority of a treatment should be avoided.

The study of seasonal patterns of public interest in psychiatric disorders has important theoretical and practical implications for service planning and delivery. The recent explosion of internet searches suggests that mining search databases yields unique information on public interest in mental health disorders, which is a significantly more affordable approach than population health studies. This study aimed to investigate seasonal patterns of internet mental health queries in Ontario, Canada. Weekly data on health queries in Ontario from Google Trends were downloaded for a 5-year period (2012-2017) for the terms \"schizophrenia,\" \"autism,\" \"bipolar,\" \"depression,\" \"anxiety,\" \"OCD\" (obsessive-compulsive disorder), and \"suicide.\" Control terms were overall search results for the terms \"health\" and \"how.\" Time-series analyses using a continuous wavelet transform were performed to isolate seasonal components in the search volume for each term. All mental health queries showed significant seasonal patterns with peak periodicity occurring over the winter months and troughs occurring during summer, except for \"suicide.\" The comparison term \"health\" also exhibited seasonal periodicity, while the term \"how\" did not, indicating that general information seeking may not follow a seasonal trend in the way that mental health information seeking does. Seasonal patterns of internet search volume in a wide range of mental health terms were observed, with the exception of \"suicide.\" Our study demonstrates that monitoring internet search trends is an affordable, instantaneous, and naturalistic method to sample public interest in large populations and inform health policy planners.

Background Pain assessment in brain-injured patients in the intensive care unit (ICU) is challenging and existing scales may not be representative of behavioral reactions expressed by this specific group. This study aimed to validate the French-Canadian and English revised versions of the Critical-Care Pain Observation Tool (CPOT-Neuro) for brain-injured ICU patients. Methods A prospective cohort study was conducted in three Canadian and one American sites. Patients with a traumatic or a non-traumatic brain injury were assessed with the CPOT-Neuro by trained raters (i.e., research staff and ICU nurses) before, during, and after nociceptive procedures (i.e., turning and other) and non-nociceptive procedures (i.e., non-invasive blood pressure, soft touch). Patients who were conscious and delirium-free were asked to provide their self-report of pain intensity (0–10). A first data set was completed for all participants ( n  = 226), and a second data set ( n  = 87) was obtained when a change in the level of consciousness (LOC) was observed after study enrollment. Three LOC groups were included: (a) unconscious (Glasgow Coma Scale or GCS 4–8); (b) altered LOC (GCS 9–12); and (c) conscious (GCS 13–15). Results Higher CPOT-Neuro scores were found during nociceptive procedures compared to rest and non-nociceptive procedures in both data sets ( p  < 0.001). CPOT-Neuro scores were not different across LOC groups. Moderate correlations between CPOT-Neuro and self-reported pain intensity scores were found at rest and during nociceptive procedures (Spearman rho > 0.40 and > 0.60, respectively). CPOT-Neuro cut-off scores ≥ 2 and ≥ 3 were found to adequately classify mild to severe self-reported pain ≥ 1 and moderate to severe self-reported pain ≥ 5, respectively. Interrater reliability of raters’ CPOT-Neuro scores was supported with intraclass correlation coefficients > 0.69. Conclusions The CPOT-Neuro was found to be valid in this multi-site sample of brain-injured ICU patients at various LOC. Implementation studies are necessary to evaluate the tool’s performance in clinical practice.