title: Primary data collection in health technology assessment.
abstract: This study discusses the value of primary data collection as part of health technology assessment (HTA). Primary data collection can help reduce uncertainty in HTA and better inform evidence-based decision making. However, methodological issues such as choosing appropriate study design and practical concerns such as the value of collecting additional information need to be addressed. The authors emphasize the conditions required for successful primary data collection in HTA: experienced researchers, sufficient funding, and coordination among stakeholders, government, and researchers. The authors conclude that, under specific conditions, primary data collection is a worthwhile endeavor in the HTA process.
authors.affiliation: McGill University and University of Montreal Health Centres, and Department of Community Health Sciences, University of Calgary, 1403-29 Street NW, Calgary, Alberta, Canada. michelle.mcisaac@ucalgary.ca
authors.forename: Michelle L
authors.initials: ML
authors.lastname: McIsaac
authors.forename: Ron
authors.initials: R
authors.lastname: Goeree
authors.forename: James M
authors.initials: JM
authors.lastname: Brophy
mesh_terms: D003625:Data Collection / Q000379:methods*; D011050:Policy Making; D011792:Quebec; D013673:Technology Assessment, Biomedical / Q000706:statistics & numerical data*