The objective of this study, published in the International Journal of Chronic Obstructive Pulmonary Disease, was to describe the trends in pharmacologic treatment for patients newly diagnosed with chronic obstructive pulmonary disease (COPD) in Alberta, Canada.
This study examined children’s health care service use, mothers’ workforce participation, and mothers’ community engagement based on children’s risk of developmental delay.
This study, published in PharmacoEconomics – Open, reports exploratory analysis of the provincial and nationwide costs of industry-sponsored drug clinical trials (CTs) in Canada. The costs of industry-sponsored drug CTs completed in 2016 were Can$2.1 billion. In addition to the creation of knowledge, these trials play an important role in alleviating the healthcare cost burden…
OBJECTIVES: To examine the resource use and healthcare costs for chronic obstructive pulmonary disease (COPD) in Alberta, Canada between 2008 and 2016 and model the future costs to 2030.
Abstract: Affecting 10–15% of women, postpartum depression (PPD) can be debilitating and costly. While early identification has the potential to improve timely care, recommendations regarding the implementation of routine screening are inconsistent. In Alberta, screening is completed using the Edinburgh Postnatal Depression Scale during public health well child clinic visits.…
Education of women regarding healthy lifestyle choices is an important function for prenatal care providers. Within Canada, women choose to receive pregnancy care from one of a variety of publicly funded care providers. This study examines the association between the type of care provider(s) seen during pregnancy and the provision of advice related to nutrition, weight management,…
In pharmaceutical clinical trials, industrial sponsors pay for study drugs and related healthcare services. We conducted a study to determine industry’s economic contribution of these trials to the Alberta healthcare system.
Middle-aged individuals classified as normal by BMI may be overweight/obese based on measures of %BF. These individuals may be at risk for chronic diseases, but would not be identified as such based on their BMI classification. Quantifying %BF in this group could inform targeted strategies for disease prevention.