MEASUREMENT OF SYMPTOMS AND IMPACT OF INFLUENZA- DEVELOPMENT OF THE SYMPTOM INTENSITY AND IMPACT OF INFLUENZA QUESTIONNAIRE (FLU-IIQ)
Author(s)
Osborne RH1, Norquist J2, Elsworth G1, Busija L3, Mehta V4, Herring T4, Gupta S41Deakin University, Melbourne, Victoria, Australia, 2Merck Sharp & Dohme Corp., North Wales, PA, USA, 3The University of Melbourne, Melbourne, Victoria, Australia, 4Merck Rese
OBJECTIVES: Influenza clinical trials usually focus on outcomes such laboratory confirmed infection using viral culture and/or rise in antibody titers to influenza antigens. However, new agents are not only expected to reduce infection but infection intensity. Symptom severity and duration symptoms such as fever, cough, malaise, functional impact, and time to return to daily activities have increased importance. The aim was to develop and validate a Patient Reported Outcomes (PRO) measure of the intensity and impact of influenza infection. METHODS: Consistent with US Food and Drug Administration guidelines, construct and item generation were guided by the literature and consultation with patients and expert physicians through concept mapping, focus groups, and interviews. Items were administered to 311 people with influenza like illness (ILI) across 25 USA sites with random assignment to paper or electronic interactive voice response system (IVRS). Analyses included classical psychometrics, structural equation modeling (SEM) and Rasch analyses. RESULTS: A total of 149 concepts covering the influenza experience were derived from concept mapping and these clustered into Symptoms and Impact on Daily activities, Emotions and Others. Impact scales were unidimensional whereas the symptoms domain factored into Systemic and Respiratory symptoms. All domains displayed good internal consistency (Cronbach α≥0.8) except the 3-item Respiratory domain (α=0.48). A six-factor SEM indicated excellent fit where Systemic, Respiratory and Daily activities domains differentiated patients with ILI or confirmed influenza. All scales were responsive over time. SEM indicated paper and IVRS data could be pooled. CONCLUSIONS: The use of FDA-recommended procedures for patient and clinician consultation, robust psychometrics, and evaluation of the items and domains in the target population, has generated rigorous data to support the validity of the FluiiQ. The FluiiQ should improve evaluation of existing and future agents designed to prevent or control influenza infection by increasing the breadth and depth of measurement in this field.
Conference/Value in Health Info
2011-05, ISPOR 2011, Baltimore, MD, USA
Value in Health, Vol. 14, No. 3 (May 2011)
Code
IN1
Topic
Methodological & Statistical Research
Topic Subcategory
Confounding, Selection Bias Correction, Causal Inference
Disease
Infectious Disease (non-vaccine)