Miles L, Mauskopf J. Enhancing the value and usefulness of data extracted from an economic systematic literature review. Poster presented at the ISPOR 2024; May 7, 2024. Atlanta, GA. [abstract] Value Health. 2024 Jun; 27(6 Supplement):S407. doi: 10.1016/j.jval.2024.03.1916

OBJECTIVES: Economic systematic literature reviews help identify and collate information using explicit steps that are transparent, reproducible, and aimed at minimizing bias. However, the data identified are often extracted and presented in a way that is not useful without returning to the individual papers. Organizing the information in an Excel-based tool can make the information easily accessible for review, comparison, and quality assessment and facilitate it’s use in future economic analyses for a specific intervention or health care condition.

METHODS: A multistep process is required including: 1) consultation with the project sponsor to understand key information needs; 2) development of an Excel template for extraction including format and terms to be used; 3) extraction of example studies identified during the literature search; 4) meeting with extractors to review examples and train on format and terms to be used; 5) extraction of data using consistent format and terms; 6) programming search functionality; and 7) adding user guidance to access information of interest or to create summary tables or slides.

RESULTS: Results from this process should allow the user to readily access all published information available for a specific condition or intervention on the model structure (e.g., Decision tree, Markov), inputs (e.g., population characteristics, intervention efficacy/safety, intervention costs), data sources (e.g., clinical trials, observational studies, expert opinion, assumption), uncertainty analyses (e.g., one-way sensitivity analyses, scenario analyses, probabilistic sensitivity analysis), and key findings (e.g., resource use, costs, health benefits, QALYs, ICERs, threshold pricing, and policy implications).

CONCLUSIONS: Using this multistep process will result in a searchable Excel file that can be used to answer key queries about the model structure, inputs, data sources, and outcomes for use in further economic analyses of interventions or health conditions of interest as well as to create a summary presentation of the published literature.