Research Data Leeds Repository

Methods for developing Target Product Profiles for medical tests: a systematic review [V2]

Cocco, Paola (2020) Methods for developing Target Product Profiles for medical tests: a systematic review [V2]. University of Leeds. [Dataset] https://doi.org/10.5518/1185

Dataset description

This dataset contains the results of the data extraction as part of this systematic review. From each included study, we reported 1) input sources 2) stakeholders involved 3) decision-making process 4) test characteristics featured in the Target Product Profile (TPP) under evaluation. Additionally, for each included study we conducted a transparency assessment.Two additional worksheets contains information on (i) how the price and diagnostic accuracy values were estimated; and (ii) what type of technology is described in the TPP.

Additional information:	The previous version of this systematic review is available at https://doi.org/10.5518/781
Keywords:	target product profiles, medical test, TPP, Quality by design, diagnostic, test characteristics
Subjects:	B000 - Subjects allied to medicine > B900 - Others in subjects allied to medicine
Divisions:	Faculty of Medicine and Health > School of Medicine > Leeds Institute of Health Sciences (LIHS)
Related resources:	Location Type http://eprints.whiterose.ac.uk/159062/ Publication https://doi.org/10.1186/s12916-020-01582-1 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	19 Jul 2022 14:35
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/999
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Cocco, Paola https://orcid.org/0000-0002-0652-6877 University Of Leeds https://doi.org/10.13039/501100000777 crossref Type of data: Dataset Research funders: MRC Grant numbers: MR/N029976/1 Publication date: 2020 Resource language: English Metadata language: English Research project title: Tackling AMR-A Cross Council Initiative Publisher: University of Leeds Last Modified: 21 Jul 2022 15:36

Files

Data

Data Extraction V2 [255kB] Data Extraction V2 [255kB] Data Extraction V2 [255kB] Visible to: Anyone File name: Data_Extraction_V2.xlsm Content type: Data Mime-Type: application/vnd.ms-excel License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 255kB

Test Characteristic Clustering V2 [88kB] Test Characteristic Clustering V2 [88kB] Test Characteristic Clustering V2 [88kB] Visible to: Anyone File name: Test_Characteristic_Clustering_V2.xlsx Content type: Data Description: This Excel spreadsheet contains an overview of test characteristics included in each of the reviewed TPPs sorted by clusters Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 88kB