The use of the cost minimisation approach in Health Technology Assessment submissions to the Australian Pharmaceutical Benefits Advisory Committee
Data collected to support analysis of the use of the cost minimisation approach (CMA) in Health Technology Assessment submissions to the Australian Pharmaceutical Benefits Advisory Committee.
All public summary documents (PSD) available online from meetings between July 2005 and December 2022 (inclusive) were downloaded [1] and matched to the PBAC outcomes [2]. PSDs were searched for terminology related to cost minimisation ("cost-minimisation", "cost minimisation", and "CMA") for relevance to the research. Relevant PSDs were manually reviewed for inclusion criteria, including being a major submission (or category 1 and 2 between 2021 and 2022) using CMA for an eligible product type.
For eligible submissions, data was collected by a single reviewer through a holistic review of PSDs and subsequently supplemented by targeted keyword searches for validation. A second reviewer assessed accuracy for a 5% sample, which had 90% initial concordance. Differences were deliberated and resolved through consensus, resulting in the retention of 97% of the initially coded data.
The Department of Health and Aged Care owns the copyright in the Pharmaceutical Benefits Advisory Committee Public Summary Documents and Outcomes. These materials are © Commonwealth of Australia, used under license. Permitted use of this data requires the inclusion of a copyright notice as follows: '© Commonwealth of Australia'.
The data comprised in the following columns are reproduced from material which is
© Commonwealth of Australia and are excluded from the CC BY-NC-SA licence:
- Matched Web Outcomes Text
- PBAC Outcomes column 1
- PBAC Outcomes column 2
- PBAC Outcomes column 3
- PBAC Outcomes column 4
- PBAC Outcomes column 5
- Reasons for rejection
This content has been reproduced for inclusion within this dataset with the express permission of the Australian Department of Health and Aged Care. The content cannot be further reproduced without the permission of the Australian Department of Health and Aged Care.
History
Research Project ID
Bring out your dead: A review of the cost minimisation approach in Health Technology Assessment submissions to the Australian Pharmaceutical Benefits Advisory Committee Tirrell, Z., Norman, A., Hoyle, M., Lybrand, S. & Parkinson, B., 2024, (Submitted) In: PharmacoEconomics.Q/A Log
- FAIR assessment completed
- Institutional review completed
FAIR Self Assessment Summary
This text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool Findable -------- Does the dataset have any identifiers assigned? Global Is the dataset identifier included in all metadata records/files describing the data? No How is the data described with metadata? Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema What type of repository or registry is the metadata record in? Data is in one place but discoverable through several registries Accessible ---------- How accessible is the data? Publicly accessible Is the data available online without requiring specialised protocols or tools once access has been approved? Standard web service API (e.g. OGC) Will the metadata record be available even if the data is no longer available? Yes Interoperable ------------- What (file) format(s) is the data available in? In a structured, open standard, machine-readable format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? Standardised vocabularies/ontologies/schema without global identifiers How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? The metadata record includes URI links to related metadata, data and definitions Reusable -------- Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Fully recorded in a machine-readable formatFAIR Self Assessment Rating
- 4 Stars
Data Sensitivity
- General
