PD23 Assessing The Suitability Of Real-World Data For Answering Decision Problems – NICE’s Data Suitability Assessment Tool

Introduction The National Institute for Health and Care Excellence (NICE) intends to increasingly use real-world evidence in developing guidance. To increase trust such evidence, NICE has developed a framework assessing studies, including understanding the value of selected data source decision problem. Methods Starting with published high-quality studies about quality, we conceptual model elements needed understand quality source. Results from literature search were then mapped model. We used this design structured reporting tool, Suitability Assessment Tool (dataSAT), tested it several cases studies. Additionally, engaged internal external stakeholders obtain feedback on tool revised accordingly. DataSAT covers provenance data, assessment data’s relevance research question. For provenance, information is requested independent study’s interests, purpose, setting, dates operation, funding, specification, management assurance plans sources. Data covered by quantitively completeness accuracy following key study inform critical appraisal study: population inclusion exclusion criteria; intervention; comparator; outcomes covariates. findings sources are interpreted terms This includes United Kingdom, treatment pathway care availability elements, time-related factors as length follow up, effects sample size missing validity findings. Conclusions allows summary relevance, be reported manner, enabling makers better how influence robustness analyses health technology assessment. helps evidence.