PRIMARY STUDIES, SYSTEMATIC REVIEWS AND META-ANALYSES OF TEST ACCURACY
Assessment of test accuracy is a major component of test evaluation. Despite relatively recent developments, particularly in the methods for undertaking systematic review and meta-analyses, many uncertainties and challenges remain surrouding the conduct and interpretation of primary and secondary research. Developments in the conduct and interpretation of primary studies, systematic reviews and meta-analysis of test accuracy, may originate from methodological or applied research.
EVALUATING THE IMPACT OF TESTS
The focus of methodological research has traditionally laid with developing our approaches to the evaluation of test accuracy. However, test use impacts on health and resource–use in multiple and complex ways, requiring a range of methodologies to fully evaluate clinical and cost–effectiveness. We invite discussion of methodological developments including both conceptual and practical challenges to the conduct of reliable and valid evaluations of diagnostic impact.
INDUSTRY, REGULATION AND TEST DEVELOPMENT
Supporting innovations in testing that are most likely to result in patient benefit requires the bringing together of organisations with different perspectives and priorities, as well as fostering a shared understanding of the requirements of HTA and regulatory agencies. This round table session will benefit from contributions from industry, academia and government.
Matthew Thompson, Co-Director of MaDOx, Department of Primary Care Health Sciences, Oxford University, UK (Chair);
Ajit Lalvani (Chair in Infectious Diseases and Director of the Tuberculosis Research Unit, National Heart and Lung Institute, Imperial College London, UK)
-Other speakers tbc.
TRANSLATING RESEARCH INTO PRACTICE: Guidelines, evidence reports and technology assessments for consideration by health care agencies
Translating test research into practice presents challenges for healthcare agencies. Key issues include keeping abreast of relatively rapid developments in test evaluation methodology, assessing the potential impact of tests on patient outcomes and effective communication to the policy making community, healthcare professionals and patients.
-Chris Hyde, Professor of Public Health and Clinical Epidemiology, Peninsular College of Medicine and Dentistry, Exeter University, UK
-Professor David Matchar, Director, Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (tbc)
As increasing numbers of people worldwide live with one or more health problems, the study of prognosis has never been more important. Prognosis research is broad: it provides information crucial to understanding, explaining and predicting future clinical outcomes in people with existing disease or health conditions. Unfortunately the methodological quality of prognosis research is often poor, and there needs to be a concerted drive to improve current standards and its translational impact.
Keynote speaker: Harry Hemmingway, Professor of Clinical Epidemiology, University College London
PREDICTION, CLASSIFICATION AND CLINICAL DECISION RULES
Risk prediction (prognostic) models utilise multiple prognostic factors in combination to predict the risk of future clinical outcomes in individual patients. They have the potential to inform patients counselling and clinical decision making. Unfortunately many such models are developed but few are utilised in practice. There needs to be a greater focus on external validation of models in new data, and obtaining evidence of their impact on improving patient outcomes.
Keynote speaker: Gary Collins, Senior Medical Statistician, University of Oxford