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Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data

Mark Kingston Orcid Logo, Martin Heaven, Helen Snooks Orcid Logo, Hayley Hutchings Orcid Logo

International Journal of Population Data Science, Volume: 1, Issue: 1

Swansea University Authors: Mark Kingston Orcid Logo, Martin Heaven, Helen Snooks Orcid Logo, Hayley Hutchings Orcid Logo

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DOI (Published version): 10.23889/ijpds.v1i1.304

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa63470
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first_indexed 2023-05-19T09:39:22Z
last_indexed 2023-05-19T09:39:22Z
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spelling v2 63470 2023-05-16 Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data 3442763d6ff0467963e0792d2b5404fa 0000-0003-2242-4210 Mark Kingston Mark Kingston true false 8cf2eadb1a9a0b58dfe45644838545d5 Martin Heaven Martin Heaven true false ab23c5e0111b88427a155a1f495861d9 0000-0003-0173-8843 Helen Snooks Helen Snooks true false bdf5d5f154d339dd92bb25884b7c3652 0000-0003-4155-1741 Hayley Hutchings Hayley Hutchings true false 2023-05-16 HDAT Conference Paper/Proceeding/Abstract International Journal of Population Data Science 1 1 Swansea University 2399-4908 1 8 2022 2022-08-01 10.23889/ijpds.v1i1.304 http://dx.doi.org/10.23889/ijpds.v1i1.304 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2023-05-19T10:39:52.7706888 2023-05-16T13:29:42.5502636 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Mark Kingston 0000-0003-2242-4210 1 Martin Heaven 2 Helen Snooks 0000-0003-0173-8843 3 Hayley Hutchings 0000-0003-4155-1741 4 63470__27536__ac28f84295364fc98daba20bca1ce82f.pdf 63470.pdf 2023-05-19T10:38:26.6981038 Output 219537 application/pdf Version of Record true The Authors. Open Access under CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
title Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data
spellingShingle Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data
Mark Kingston
Martin Heaven
Helen Snooks
Hayley Hutchings
title_short Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data
title_full Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data
title_fullStr Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data
title_full_unstemmed Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data
title_sort Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data
author_id_str_mv 3442763d6ff0467963e0792d2b5404fa
8cf2eadb1a9a0b58dfe45644838545d5
ab23c5e0111b88427a155a1f495861d9
bdf5d5f154d339dd92bb25884b7c3652
author_id_fullname_str_mv 3442763d6ff0467963e0792d2b5404fa_***_Mark Kingston
8cf2eadb1a9a0b58dfe45644838545d5_***_Martin Heaven
ab23c5e0111b88427a155a1f495861d9_***_Helen Snooks
bdf5d5f154d339dd92bb25884b7c3652_***_Hayley Hutchings
author Mark Kingston
Martin Heaven
Helen Snooks
Hayley Hutchings
author2 Mark Kingston
Martin Heaven
Helen Snooks
Hayley Hutchings
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 1
container_issue 1
publishDate 2022
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v1i1.304
publisher Swansea University
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
url http://dx.doi.org/10.23889/ijpds.v1i1.304
document_store_str 1
active_str 0
published_date 2022-08-01T10:39:51Z
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