ArticleBMC medical research methodology2019
Figure Interpretation Assessment Tool-Health (FIAT-health) 2.0: from a scoring instrument to a critical appraisal tool.
Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Human factors methods in the design of digital decision support systems for population health: a scoping review.BMC public health · 2024Article
- Managing COVID-19 within and across health systems: why we need performance intelligence to coordinate a global response.Health research policy and systems · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.