Data repository for manuscript "A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi"

Dataset to accompany the publication “A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi” by Margherita Molaro, Sakshi Mohan, Bingling She, Martin Chalkley, Tim Colbourn, Joseph H. Collins, Emilia Connolly, Matthew M. Graham, Eva Janoušková, Ines Li Lin, Gerald Manthalu, Emmanuel Mnjowe, Dominic Nkhoma, Pakwanja D. Twea, Andrew N. Phillips, Paul Revill, Asif U. Tamuri, Joseph Mfutso-Bengo, Tara Mangal, and Timothy B. Hallett. The Thanzi La Onse (TLO) model used to produce this data is open source and available for review and usage at https://github.com/UCL/TLOmodel. In particular, the outputs analysed in this study can be reproduced from model tag "Molaro_et_al_2024_HBP_design" (accessible at https://github.com/UCL/TLOmodel/tags) using the scenario file src/scripts/healthsystem/impact_of_policy/scenario_impact_of_policy.py. All analysis scripts used to generate the plots in the manuscript are located in the same directory and have filenames beginning with "analysis_impact_of_policy_". This repository contains post-processed simulation outputs, which were generated using the script src/scripts/healthsystem/impact_of_policy/analysis_extract_data.py (available from the same tag). The data included have the following structure: "Draw": Represents a specific prioritisation-policy, identified by the acronyms listed in Table 1 of the publication. "Run": Represents a single simulation instance of a draw. Each draw was simulated 10 times, each with independent random sampling, resulting in 10 "runs" per draw. The data files included in this repository are: DALYS_by_cause_with_time.csv: DALYs (as defined in the publication) incurred on a given year due to each of the causes of DALYs considered. HSIs_requested_by_type_and_facility_level_with_time.csv: total number of requested HSIs on a given year, broken down by HSI type and the facility level at which they were requested. HSIs_delivered_by_type_and_facility_level_with_time.csv:total number of HSIs delivered on a given year broken down by HSI type and the facility level at which they were delivered. Population_with_time.csv:total population size on a given year.

External deposit with Zenodo.