Title: Matching diagnostics development to clinical need: target product profile development for a point of care test for community-acquired lower respiratory tract infection - survey data


Citation
Gal M, Francis N, Hood K, et al. (2018). Matching diagnostics development to clinical need: target product profile development for a point of care test for community-acquired lower respiratory tract infection - survey data. Cardiff University. https://doi.org/10.17035/d.2018.0052917920



Access Rights: Creative Commons Attribution 4.0 International

Access Method: Click to email a request for this data to opendata@cardiff.ac.uk


Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2018

Coverage start date: 12/09/2011

Coverage end date: 12/12/2011

Data format: .xls

Estimated total storage size of dataset: Less than 100 megabytes

Number of Files In Dataset: 7

DOI : 10.17035/d.2018.0052917920

DOI URL: http://doi.org/10.17035/d.2018.0052917920

Related URL: https://www.uantwerpen.be/en/projects/rapp-id/


Description

These data were collected from a survey of primary care clinicians. The survey was on-line and created using Survey Monkey. Details of the method and results are provided in a PLOS ONE publication (see title of publication above) that has been accepted for publication pending editorial corrections (6th July 2018). This paper also contains supplementary material that is helpful in reviewing these raw data. Ethical approval was provided for this research (as detailed in the publication)

The data is raw data in excel format and includes survey responses from questions about minimum and ideal requirements for a community-acquired lower respiratory tract infections (CA-LRTI) point of care test (POCT) and a hospital-acquired pneumonia (HAP) test. All data are anonymised and have had personal identifiers (names, addresses, e-mails, IP address, country of work) removed.

There are 7 excel files in total. survey questions are indicated in row 1.

Thes data were collected as part of the EU RAPPID project. https://www.uantwerpen.be/en/projects/rapp-id/


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Last updated on 2022-13-05 at 11:09