Background: Implementing culturally sensitive psychometric measures of depression may be an effective strategy to improve acceptance, response rate, and reliability of psychological assessment among Indigenous populations. However, the psychometric properties of depression scales after cultural adaptation remain unclear.
Methods: We screened the Ovid Medline, PubMed, Embase, Global Health, PsycInfo, and CINAHL databases through three levels of search terms: Depression, Psychometrics, and Indigenous, following the PRISMA guidelines.
Aifred is a clinical decision support system (CDSS) that uses artificial intelligence to assist physicians in selecting treatments for major depressive disorder (MDD) by providing probabilities of remission for different treatment options based on patient characteristics. We evaluated the utility of the CDSS as perceived by physicians participating in simulated clinical interactions. Twenty physicians who were either staff or residents in psychiatry or family medicine completed a study in which they had three 10-minute clinical interactions with standardized patients portraying mild, moderate, and severe episodes of MDD.
View Article and Find Full Text PDFWe present a cultural adaptation of the Growth and Empowerment Measure (GEM) from the Kanien'kehá:ka people of Quebec (Canada). Our aim was to develop a culturally competent and safe tool to assess and promote well-being among this population. We followed a qualitative, collaborative, and participatory method that sought to benefit Indigenous participants and communities, while honouring their culture and philosophies.
View Article and Find Full Text PDFPurpose: We present a study on selection of a psychometric scale to be clinically used among Indigenous people with depression. Our aim was to select a psychometric tool for cultural adaptation with Mohawk and Inuit in Quebec.
Methods: We selected three depression scales and three protective factor scales based on: strong validity for psychometric properties, evidence for good psychometric qualities across translations, avoidance of cognitively complex sentences, brevity, and clarity.
BJPsych Open
January 2021
Background: Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these devices impact the physician-patient interaction.
Aims: Aifred is an artificial intelligence-powered clinical decision support system (CDSS) for the treatment of major depression.
Background: Blood has been imbued with powerful connotations through history and across cultures. Currently bestowed with scientific meaning, blood nevertheless carries symbolic resonance. This study examines these representations among practitioners and sheds light on the clinical and nonclinical factors that guide blood transfusion (BT) decision-making in Quebec, Canada.
View Article and Find Full Text PDF