Author Webinar: The Perception of Anticoagulant Treatment Questionnaire (PACT-Q)
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An Author Webinar on the Perception of Anticoagulant Treatment Questionnaire (PACT-Q)
Using the PACT-Q to Assess Patients’ Anticoagulant Treatment Experience
September 27, 2018
10:00 AM to 11:00 AM ET
Join us to learn about the Perception of Anticoagulant Treatment Questionnaire (PACT-Q©), and how it can be used in clinical research.
- Learn the rationale and methods used in developing the PACT-Q.
- Get insights on how this questionnaire can be applied in clinical research.
The side effects and burden of anticoagulant treatments may contribute to poor compliance and consequently to treatment failure. The PACT-Q was developed to help assess patients’ needs and their perceptions of anticoagulant treatment. The PACT-Q is a valid and reliable instrument that assesses patients’ expectations and satisfaction regarding their anticoagulant treatment, as well as their opinion about their treatments’ convenience of use. Its two-part structure – assessment of expectations at baseline in the first part, and of convenience, burden and treatment satisfaction in the second – displays good and stable psychometric properties. These results are not sufficient to recommend the use of satisfaction as primary endpoint in clinical trials; further validation work is needed to support the interpretation of PACT-Q dimension scores. However, this first validation makes the PACT-Q an appropriate measure for use in clinical and pharmaco-epidemiological research, as well as in real-life studies.
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Aude Roborel de Climens, PhD
PRO Lead, Health Economics & Outcomes Research (HEOR), Sanofi
Modeling HEAD, Global HEVA (Health Economics & Value Assessment), Sanofi
Alexia Marrel, BA
Associate Director, Patient Centred Outcomes, ICON plc.
Marie Dulac Trimoreau
Author Relations Specialist, Author Collaboration Unit, Mapi Research Trust
This webinar is intended for professionals involved in:
- Clinical research
- Academic research
- Health Economics & Outcomes Research (HEOR)