%0 Generic %A Pacho, Agata %A Fuller, Sebastian %D 2019 %T Precise Q1Q2 data_deidentified full dataset %U https://sgul.figshare.com/articles/dataset/Precise_Q1Q2_data_deidentified_full_dataset/7660790 %R 10.24376/RD.SGUL.7660790.V1 %K point-of-care testing %K diagnostics %K health services research %K sexually transmitted infections %K Sociology %K Health and Community Services %K Public Health and Health Services not elsewhere classified %X
Data supporting “It’s not a time spent issue, it’s a ‘what have you spent your time doing?’ issue…” A qualitative study of UK patient opinions and expectations for implementation of Point of Care Tests for sexually transmitted infections and antimicrobial resistance.”

Data were collected in two stages: June 2015 – February 2016 and February 2017-August 2017.

A total of six SHCs in the UK were selected for inclusion in the study based on geographic location, access to a wide range of patients, and willingness to participate. Interviews were audio recorded and transcribed verbatim. Transcripts were then checked for accuracy (cleaned) against the audio recording by the interviewers. A content analysis approach was used to capture and uncover substantive meanings within the dataset. Data were analysed using a thematic style approach. Transcripts were coded thematically in NVivo 11. Framework was used as a tool to organise themes, as this approach allows for reading themes across and within cases, giving opportunity for both in-depth case study analysis and explanatory analyses based on comparison of themes across the dataset. The full list of themes is included with the dataset.

Ethical approval was given in June 2015 by London Bridge Research Ethics Committee, reference 15/LO/0535: Developing patient-centred, rapid, Point-of-Care testing including antimicrobial resistance markers for specialist sexual health services in the NHS: the Precise study social science programme.

The journal article this dataset refers to can be found via the link referenced below.

Contact the SGUL RDM Service at researchdata@sgul.ac.uk to request access to the dataset.
%I St George's, University of London