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Data for: Characterizing multi-criteria decision analysis, risk stratification, and hotspot analysis methods to optimise disease policymaking and evidence translation for medicines in low- and middle-income countries: A scoping review

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The supplementary materials include the Preferred Reporting Items for Systematic Reviews and Meta-Analyses -S1 PRISMA checklist, which provides a structured set of sections for reporting the scoping review and contains key information from the paper, including the aims, specific methods, data sources, analyses, and how each item is addressed. It contains three appendices corresponding to each main section of the paper, as well as a list of supporting tables and figures. S1 Appendix includes data related to key attributes, such as the number of articles over time, geographical region and country, author affiliation, disease focus, and stage of medicine translation. S2 Appendix includes data on the specific analytical methods presented in the review—multi-decision criteria analysis (MDCA), risk stratification, and hotspot analysis—such as article summaries, variables, and visual tools. S3 Appendix includes data related to the grey literature, including the search strategies and outputs fr..., , # Data for: Characterizing multi-criteria decision analysis, risk stratification, and hotspot analysis methods to optimise disease policymaking and evidence translation for medicines in low- and middle-income countries: A scoping review Dataset DOI: [10.5061/dryad.kwh70rzjp](https://doi.org/10.5061/dryad.kwh70rzjp) ## Description of the data and file structure Data are summaries from information collected from published articles as part of a scoping review. ### Files and variables #### File: S1._PRISMA-Checklist_181225.pdf **Description:** Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist, which provides a structured set of sections for reporting the scoping review and contains key information from the paper, including the aims, specific methods, data sources, analyses, and how each item is addressed. #### File: S1_Appendix._Paper_and_report_attributes_related_data_181225.pdf **Description:** Tables and figure...,
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2025-12-20
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