Abstract
BackgroundStatistics are frequently used in health advocacy to attract attention, but are often misinterpreted. The Figure Interpretation Assessment Tool–Health (FIAT-Health) 1.0 was developed to support systematic assessment of the interpretation of figures on health and health care. This study aimed to test and evaluate the FIAT-Health 1.0 amongst its intended user groups, and further refine the tool based on our results.MethodsPotential users (N = 32) were asked to assess one publicly reported figure using the FIAT-Health 1.0, and to justify their assessments and share their experience in using the FIAT-Health. In total four figures were assessed. For each figure, an expert on the specific topic (N = 4) provided a comparative assessment. The consistency of the answers was calculated, and answers to the evaluation questions were qualitatively analysed. A qualitative comparative analysis of the justifications for assessment by the experts and potential users was made. Based on the results, a new version of the FIAT-Health was developed and tested by employees (N = 27) of the National Institute for Public Health and the Environment (RIVM), and approved by the project’s advisory group. In total sixty-three participants contributed.ResultsPotential users using the FIAT-Health 1.0 and experts gave similar justifications for their assessments. The justifications provided by experts aligned with the items of the FIAT-Health. Seventeen out of twenty-six dichotomous questions were consistently answered by the potential users. Numerical assessment questions showed inconsistencies in how potential users responded. In the evaluation, potential users most frequently mentioned that thanks to its structured approach, the FIAT-Health contributed to their awareness of the main characteristics of the figure (n = 14), but they did find the tool complex (n = 11). The FIAT-Health 1.0 was revised from a scoring instrument into a critical appraisal tool: the FIAT-Health 2.0, which was tested and approved by employees of the RIVM and the advisory group.ConclusionThe tool was refined according to the results of the test and evaluation, transforming the FIAT-Health from a quantitative scoring instrument into an online qualitative appraisal tool that has the potential to aid the better interpretation and public reporting of statistics on health and healthcare.
Highlights
Statistics are frequently used in health advocacy to attract attention, but are often misinterpreted
Statistics developed by (A) academic and industry scientific research are reported in scientific publications, or (B), commissioned analytic and survey research statistics are reported by policy makers, official statistic bureaus, NGO’s or other institutions
Researchers, and communication officers had more than 5 years of work experience in their occupation, with the exception of one policy maker and one communication officer who both had less than 3 years of work experience
Summary
Statistics are frequently used in health advocacy to attract attention, but are often misinterpreted. Without the proper reporting of the background and methodology, figures are likely to be misinterpreted [9, 10]. Misinterpretation of these figures is problematic, as they may impact policy and practice [11, 12]. Press offices and communication departments report statistics to traditional media and online sources. Through these sources the information is received by the public. In this communication flow, many questionable interpretation- and communication practices can occur, such as not reporting uncertainties, providing contexts or comparative perspectives, and providing relative but not absolute risk
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
