Reporting guidelines for modelling studies
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Abstract
Background: Modelling studies are used widely to help inform decisions about health care and policy and their
use is increasing. However, in order for modelling to gain strength as a tool for health policy, it is critical that key
model factors are transparent so that users of models can have a clear understanding of the model and its
limitations.Reporting guidelines are evidence-based tools that specify minimum criteria for authors to report their
research such that readers can both critically appraise and interpret study findings. This study was conducted to
determine whether there is an unmet need for population modelling reporting guidelines.
Methods: We conducted a review of the literature to identify: 1) guidance for reporting population modelling
studies; and, 2) evidence on the quality of reporting of population modelling studies. Guidance for reporting was
analysed using a thematic approach and the data was summarised as frequencies. Evidence on the quality of
reporting was reviewed and summarized descriptively.
Results: There were no guidelines that specifically addressed the reporting of population modelling studies. We
identified a number of reporting guidelines for economic evaluation studies, some of which had sections that were
relevant population modelling studies. Amongst seven relevant records, we identified 69 quality criteria that have
distinct reporting characteristics. We identified two papers that addressed reporting practices of modelling studies.
Overall, with the exception of describing the data used for calibration, there was little consistency in reporting.
Conclusions: While numerous guidelines exist for developing and evaluating health technology assessment and
economic evaluation models, which by extension could be applicable to population modelling studies, there is
variation in their comprehensiveness and in the consistency of reporting these methods. Population modelling
studies may be an area which would benefit from the development of a reporting guideline.
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BMC Medical Research Methodology 2012, 12:168
