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Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage
Christina L Ekegren,
Richard de Steiger,
Elton R Edwards,
Richard S Page,
Raphael Hau,
Susan Liew,
Andrew Oppy,
Belinda Gabbe
International Journal of Environmental Research and Public Health, Volume: 16, Issue: 8, Start page: 1325
Swansea University Author: Belinda Gabbe
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DOI (Published version): 10.3390/ijerph16081325
Abstract
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage
Published in: | International Journal of Environmental Research and Public Health |
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ISSN: | 1660-4601 |
Published: |
2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa50527 |
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2019-05-24T19:21:38.6945046 v2 50527 2019-05-24 Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage 4bdcc94332b2bd10530c5e71ceb04f14 0000-0001-7096-7688 Belinda Gabbe Belinda Gabbe true false 2019-05-24 FGMHL Journal Article International Journal of Environmental Research and Public Health 16 8 1325 1660-4601 31 12 2019 2019-12-31 10.3390/ijerph16081325 COLLEGE NANME Medicine, Health and Life Science - Faculty COLLEGE CODE FGMHL Swansea University 2019-05-24T19:21:38.6945046 2019-05-24T19:19:23.9524538 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Christina L Ekegren 1 Richard de Steiger 2 Elton R Edwards 3 Richard S Page 4 Raphael Hau 5 Susan Liew 6 Andrew Oppy 7 Belinda Gabbe 0000-0001-7096-7688 8 0050527-24052019192043.pdf 50527.pdf 2019-05-24T19:20:43.8870000 Output 906204 application/pdf Version of Record true 2019-05-23T00:00:00.0000000 Released under the terms of a Creative Commons Attribution License (CC-BY). true eng |
title |
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage |
spellingShingle |
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage Belinda Gabbe |
title_short |
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage |
title_full |
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage |
title_fullStr |
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage |
title_full_unstemmed |
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage |
title_sort |
Using Patient-Reported Outcomes to Predict Revision Arthroplasty Following Femoral Neck Fracture: Enhancing the Value of Clinical Registries through Data Linkage |
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4bdcc94332b2bd10530c5e71ceb04f14 |
author_id_fullname_str_mv |
4bdcc94332b2bd10530c5e71ceb04f14_***_Belinda Gabbe |
author |
Belinda Gabbe |
author2 |
Christina L Ekegren Richard de Steiger Elton R Edwards Richard S Page Raphael Hau Susan Liew Andrew Oppy Belinda Gabbe |
format |
Journal article |
container_title |
International Journal of Environmental Research and Public Health |
container_volume |
16 |
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8 |
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1325 |
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2019 |
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Swansea University |
issn |
1660-4601 |
doi_str_mv |
10.3390/ijerph16081325 |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
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published_date |
2019-12-31T04:02:00Z |
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11.036706 |