Validation of a Design Architecture to Deliver Health Management and Behavior Change Evidence at Scale.

Forty-four percent of Canadians over the age of 20 have a non-communicable disease (NCD). Millions of Canadians are at risk of developing the complications of NCDs; millions have already experienced those complications. Fortunately, the evidence base for NCD prevention and behavior change is large and growing and digital technologies can deliver them at scale and with high fidelity.

Canadian trends in spending on liver hospitalizations and transplants: 2004-2020.

Background: The incidence and prevalence of liver disease are increasing and contribute to significant morbidity and mortality. In Canada, more than 3 million people live with liver diseases, accounting for approximately 2% of all hospitalizations. However, it remains unclear how much liver hospitalizations cost the Canadian health care system.

Integration of real-world evidence from different data sources in health technology assessment.

Real-world evidence (RWE) is being increasingly used by a wide range of stakeholders involved in the therapeutic product lifecycle but remains underutilized in the health technology assessment (HTA) process. RWE aims to fill the current evidence gaps, reduce the uncertainty around the benefits of medical technologies, and better understand the long-term impact of health technologies in real-world conditions. Despite the minimal use of RWE in some elements of HTA, there has been a larger push to further utilize RWE in the HTA processes.

Conditional Funding Recommendations for Drugs in Canada: A Cross-Sectional Analysis.

Background And Objective: Before listing by drug plans, new drugs that receive regulatory bodies' approval are assessed by the Health Technology Assessment agencies, including the Canadian Agency for Drugs and Technologies in Health (CADTH). Considering the impact of CADTH recommendations on payers' listing decisions, the growing number of high-cost drugs, and conditional listings, conditional recommendations have increasingly been of interest to the users of CADTH recommendations. This study aims to review the conditional reimbursement recommendations issued by CADTH and explores the reasons for those recommendations.

Artificial intelligence in outcomes research: a systematic scoping review.

: Despite the number of systematic reviews of how artificial intelligence is being used in different areas of medicine, there is no study on the scope of artificial intelligence methods used in outcomes research, the cornerstone of health technology assessment (HTA). This systematic scoping review aims to systematically capture the scope of artificial intelligence methods used in outcomes research to enhance decision-makers' knowledge and broaden perspectives for health technology assessment and adoption.: The review identified 370 studies, consisted of artificial intelligence methods applied to adult patients who underwent any health/medical intervention and reported therapeutic, preventive, or prognostic outcomes.

Opium consumption in men and diabetes mellitus in women are the most important risk factors of premature coronary artery disease in Iran.

We performed this study to compare of CAD risk factors in young male and female in Iran. In an analytic cross-sectional study, two groups of patients were evaluated with and without Coronary artery disease. The result of study suggests that there is a relationship between CAD and diabetes mellitus, increasing level of LDL and lipoprotein A in women, While CAD in men had more relation with smoking and opium use.