Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-28T12:29:23.275Z Has data issue: false hasContentIssue false
  • English
  • Français

Primary data collection in health technology assessment

Published online by Cambridge University Press:  18 January 2007

Michelle L. McIsaac ,
Ron Goeree  and
James M. Brophy
Michelle L. McIsaac
Affiliation:
McGill University and University of Montreal Health CentresandUniversity of Calgary
Ron Goeree
Affiliation:
McMaster UniversityandSt. Joseph's Healthcare
James M. Brophy
Affiliation:
McGill UniversityandUniversity of Montreal
Get access Rights & Permissions [Opens in a new window]

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.

Keywords

Primary dataField evaluationHealth technology assessmentPolicy decisions
Type
GENERAL ESSAYS
Information
International Journal of Technology Assessment in Health Care , Volume 23 , Issue 1 , January 2007 , pp. 24 - 29
Copyright
© 2007 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Brophy JM, Joseph L. 2005 Medical decision making with incomplete evidence—Choosing a platelet glycoprotein IIbIIIa receptor inhibitor for percutaneous coronary interventions. Med Decis Making. 25: 222– 228.Google Scholar
Claxton K, Eggington S, Ginnelly L, et al. 2005. A pilot study of value of information analysis to support research recommendations for the National Institute for Health and Clinical Excellence: Centre for Health Economics. Research Paper 4:
Eisenberg JM. 1999 Ten lessons for evidence-based technology assessment. JAMA. 17: 1865– 1869.Google Scholar
Fahey T. 1996 Randomised controlled trials in general practice. BMJ. 312: 779.Google Scholar
Goeree R, Levin L. 2006; Building bridges between academic research and policy formulation: The PRUFE framework—an integral part of Ontario's evidenced based HTPA process. Pharmacoeconomics. 11.Google Scholar
Goodman C. HTA 101: Introduction to health technology assessment. January 2004. Available at: http://www.nlm.nih.gov/nichsr/hta101/hta101.pdf#search='goodman%20c%20HTA'.
Hennekens CH, Buring JE. 1987. Epidemiology in medicine. Boston: Little, Brown and Company;
Raftery J, Roderick P, Stevens A. 2005 Potential use of routine databases in health technology assessment. Health Technol Assess. 9: 1– 106.Google Scholar
Stables RH. 2002 Observational research in the evidence based environment: Eclipsed by the randomized controlled trial? Health. 87: 101– 102.Google Scholar
Yokota F, Thompson KM. 2004 Value of information literature analysis: A review of applications in health risk management. Med Decis Making. 24: 287– 298.Google Scholar