Michael Brundage1, Brenda Bass, Ringash Jolie, Kimberley Foley. 1. Division of Cancer Care and Epidemiology, Level 2, Queen's Cancer Research Institute, 10 Stuart St., Kingston, ON, K7L 3N6, Canada. Michael.Brundage@krcc.on.ca
Abstract
PURPOSE: Measurement and reporting of health-related quality of life (HRQL) data have evolved considerably over the past 10 years. Our goal was to identify the current barriers to, and enablers of, the effective translation of HRQL outcome data from randomized clinical trials by investigating physician attitudes, knowledge, and education needs. METHODS: We undertook a mixed qualitative and quantitative study of 33 oncologists' attitudes and educational needs around the value, interpretation, and application of HRQL data from cancer clinical trials. The approach was designed to identify barriers and enablers relating to the characteristics of the knowledge itself, to the potential users of the knowledge, and to the environment in which the knowledge is used. RESULTS: The majority of barriers and enablers identified were "second order", i.e., related to the understandability and generalizability of the data, its presentation, its accessibility within the medical literature, and its relevance to specific patient populations. CONCLUSIONS: Our results suggest knowledge translation (KT) of HRQL results would improve if the clinical trial HRQL data were easily accessible to clinicians, and presented in a comprehensible and clinically applicable format, which includes discussion of the relevance of the measurement domains and implications of the findings. We recommend that standards of clinical trial HRQL reporting be implemented in clinical journals.
PURPOSE: Measurement and reporting of health-related quality of life (HRQL) data have evolved considerably over the past 10 years. Our goal was to identify the current barriers to, and enablers of, the effective translation of HRQL outcome data from randomized clinical trials by investigating physician attitudes, knowledge, and education needs. METHODS: We undertook a mixed qualitative and quantitative study of 33 oncologists' attitudes and educational needs around the value, interpretation, and application of HRQL data from cancer clinical trials. The approach was designed to identify barriers and enablers relating to the characteristics of the knowledge itself, to the potential users of the knowledge, and to the environment in which the knowledge is used. RESULTS: The majority of barriers and enablers identified were "second order", i.e., related to the understandability and generalizability of the data, its presentation, its accessibility within the medical literature, and its relevance to specific patient populations. CONCLUSIONS: Our results suggest knowledge translation (KT) of HRQL results would improve if the clinical trial HRQL data were easily accessible to clinicians, and presented in a comprehensible and clinically applicable format, which includes discussion of the relevance of the measurement domains and implications of the findings. We recommend that standards of clinical trial HRQL reporting be implemented in clinical journals.
Authors: Michael Brundage; David Osoba; Andrea Bezjak; Dongsheng Tu; Michael Palmer; Joseph Pater Journal: J Clin Oncol Date: 2007-11-10 Impact factor: 44.544
Authors: G P Browman; M N Levine; E A Mohide; R S Hayward; K I Pritchard; A Gafni; A Laupacis Journal: J Clin Oncol Date: 1995-02 Impact factor: 44.544
Authors: Katherine C Smith; Michael D Brundage; Elliott Tolbert; Emily A Little; Elissa T Bantug; Claire F Snyder Journal: Support Care Cancer Date: 2016-05-10 Impact factor: 3.603
Authors: Simone A van Dulmen; Sue Lukersmith; Josephine Muxlow; Elaine Santa Mina; Maria W G Nijhuis-van der Sanden; Philip J van der Wees Journal: Health Expect Date: 2013-10-14 Impact factor: 3.377
Authors: Elliott Tolbert; Michael Brundage; Elissa Bantug; Amanda L Blackford; Katherine Smith; Claire Snyder Journal: Qual Life Res Date: 2018-11-29 Impact factor: 4.147
Authors: Michael D Brundage; Katherine C Smith; Emily A Little; Elissa T Bantug; Claire F Snyder Journal: Qual Life Res Date: 2015-05-27 Impact factor: 4.147
Authors: Pamela L Wolters; Staci Martin; Vanessa L Merker; Kathy L Gardner; Cynthia M Hingtgen; James H Tonsgard; Elizabeth K Schorry; Andrea Baldwin Journal: Neurology Date: 2013-11-19 Impact factor: 9.910
Authors: Julie Rouette; Jane Blazeby; Madeleine King; Melanie Calvert; Yingwei Peng; Ralph M Meyer; Jolie Ringash; Melanie Walker; Michael D Brundage Journal: Qual Life Res Date: 2014-11-29 Impact factor: 4.147
Authors: Claire Snyder; Katherine Smith; Bernhard Holzner; Yonaira M Rivera; Elissa Bantug; Michael Brundage Journal: Qual Life Res Date: 2018-10-10 Impact factor: 4.147