Association Between Patient and Physician Sex and Physician-Estimated Stroke and Bleeding Risks in Atrial Fibrillation

Background

Physicians treating nonvalvular atrial fibrillation (AF) assess stroke and bleeding risks when deciding on anticoagulation. The agreement between empirical and physician-estimated risks is unclear. Furthermore, the association between patient and physician sex and anticoagulation decision-making is uncertain.

Non alcoholic fatty liver disease and risk of incident diabetes in subjects who are not obese

Background and aims

It is not known whether non alcoholic fatty liver disease (NAFLD) is a risk factor for diabetes in non obese, non centrally-obese subjects. Our aim was to investigate relationships between fatty liver, insulin resistance and a biomarker score for liver fibrosis with incident diabetes at follow up, in subjects who were neither obese nor centrally-obese.

Personalized treatment selection using data from crossover designs with carry-over effects

In this work, we propose a semiparametric method for estimating the optimal treatment for a given patient based on individual covariate information for that patient when data from a crossover design are available. Here, we assume there are carry-over effects for patients switching from one treatment to another. For the K treatment (K ≥ 2) scenario, we show that nonparametric estimation of carry-over effects can have the undesirable property that comparison of treatment means can only be done using independent outcome measurements from different groups of patients rather than using available joint measurements for each patient. To overcome this barrier, we compare probabilities of outcome variable of each treatment dominating outcome variables for all other treatments conditional on patient-specific scores constructed from patient covariates. We suggest single-index models as appropriate models connecting outcome variables to covariates and our empirical investigations show that frequencies of correct treatment assignments are highly accurate. The proposed method is also rather robust against departures from a single-index model structure. We also conduct a real data analysis to show the applicability of the proposed procedure.     

Validation of Spectrophotometric Method for Determination of Thiamazole in Liquids by Dissolution Test for the Transdermal Form

Pharmaceutical Chemistry Journal - The purpose of this work was to validate the method of UV absorption spectrophotometry for the determination of thiamazole in transdermal patches during their...     

Surveillance in the field: Over-identification of Ebola suspect cases and its contributing factors in West African at-risk contexts

During an Ebola outbreak, the WHO recommends that health professionals consider people as suspect cases (SCs) when they show key signs such as the sudden onset of high fever or specific symptoms after having had contact with a suspect or confirmed Ebola case. SCs should then get care, be isolated and be reported to health authorities until the Ebola virus disease is confirmed through a lab test. This exploratory study aims to understand this identification process in the field based on a qualitative analysis of the diagnosis and therapeutic itineraries of 19 SCs in Cote d’Ivoire and Senegal (2014–2015). Results indicate that the main criteria for SC identification at the field level were fever (understood broadly) and provenance from a highly affected country (applied indiscriminately). WHO criteria were not followed in at least 9 of the 19 cases. Several medical, social and cultural factors favour over-identification of people as SCs, including relativism in defining ‘high fever’, placism, humanitarian or securitarian bias, issues in categorising SC's contact cases, and the context of fear. To avoid undue categorisation and its possible harmful social effects, the WHO definition should be implemented more carefully in various contexts and with greater consideration for ethical issues, while prioritising diagnosis strategies with higher specificity.     

Is public health training in Canada meeting current needs? Defrosting the paradigm freeze to respond to the post-truth era

Health scholars have long been calling for a new approach to understanding and responding to public health challenges, recognizing the dynamic influence of social and ecological processes and the importance of respecting different ways of knowing. With daunting new challenges to collective health, we sought to ascertain how future generations of public health researchers and practitioners are being prepared with the knowledge, attitudes, and skills needed for the tasks ahead. We found that of the 76 graduate level programs listed by the Public Health Agency of Canada, 65% required at least one quantitative methods course, but only 26% required qualitative methods and only 16% required a course in community engagement. While 25% had at least one required course related to social theory or social determinants of health, only 3% required a course on the ecological determinants. Our examination suggests that the majority of schools of public health may still be frozen in old paradigms wherein interdisciplinary inquiry and the development of skills to work with communities to implement and evaluate interventions to promote and protect collective health are still only peripheral considerations. With the intensification of public distrust in experts in this post-truth era, greater emphasis is needed now more than ever to develop skills in understanding and engaging the public in addressing the underlying issues threatening health. We argue that as the challenges of the Anthropocene are upon us, it is urgent that we rethink the skills we are teaching and prepare ourselves to radically adjust our approach.