Conference Paper/Proceeding/Abstract 431 views 97 downloads
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management.
Kendal Smith,
Lloyd Evans,
Gareth Davies
,
Ashley Akbari
,
Rowena Bailey,
Richard Palmer,
Jonathan Goodfellow,
Michael Thomas,
Kerryn Lutchman-Singh
International Journal of Population Data Science, Volume: 9, Issue: 5
Swansea University Authors:
Gareth Davies , Ashley Akbari
, Rowena Bailey
DOI (Published version): 10.23889/ijpds.v9i5.2663
Abstract
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management.
| Published in: | International Journal of Population Data Science |
|---|---|
| ISSN: | 2399-4908 |
| Published: |
Swansea University
2024
|
| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa68423 |
| first_indexed |
2025-01-30T16:02:05Z |
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| last_indexed |
2025-01-31T20:26:41Z |
| id |
cronfa68423 |
| recordtype |
SURis |
| fullrecord |
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| spelling |
2025-01-31T16:08:32.8599833 v2 68423 2024-12-02 The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. 98490239b86cc892a382416d048cdb3c 0000-0001-9005-1618 Gareth Davies Gareth Davies true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 455e2c1e6193448f6269b9e72acaf865 Rowena Bailey Rowena Bailey true false 2024-12-02 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 9 5 Swansea University 2399-4908 10 9 2024 2024-09-10 10.23889/ijpds.v9i5.2663 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2025-01-31T16:08:32.8599833 2024-12-02T18:59:31.8603941 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Kendal Smith 1 Lloyd Evans 2 Gareth Davies 0000-0001-9005-1618 3 Ashley Akbari 0000-0003-0814-0801 4 Rowena Bailey 5 Richard Palmer 6 Jonathan Goodfellow 7 Michael Thomas 8 Kerryn Lutchman-Singh 9 68423__33475__2882595d612145adb98e97ee595befb3.pdf 68423.VoR.pdf 2025-01-31T16:07:29.1823030 Output 195152 application/pdf Version of Record true © The Authors. Open Access under CC BY 4.0 license. true eng https://creativecommons.org/licenses/by/4.0/deed.en |
| title |
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. |
| spellingShingle |
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. Gareth Davies Ashley Akbari Rowena Bailey |
| title_short |
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. |
| title_full |
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. |
| title_fullStr |
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. |
| title_full_unstemmed |
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. |
| title_sort |
The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management. |
| author_id_str_mv |
98490239b86cc892a382416d048cdb3c aa1b025ec0243f708bb5eb0a93d6fb52 455e2c1e6193448f6269b9e72acaf865 |
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98490239b86cc892a382416d048cdb3c_***_Gareth Davies aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari 455e2c1e6193448f6269b9e72acaf865_***_Rowena Bailey |
| author |
Gareth Davies Ashley Akbari Rowena Bailey |
| author2 |
Kendal Smith Lloyd Evans Gareth Davies Ashley Akbari Rowena Bailey Richard Palmer Jonathan Goodfellow Michael Thomas Kerryn Lutchman-Singh |
| format |
Conference Paper/Proceeding/Abstract |
| container_title |
International Journal of Population Data Science |
| container_volume |
9 |
| container_issue |
5 |
| publishDate |
2024 |
| institution |
Swansea University |
| issn |
2399-4908 |
| doi_str_mv |
10.23889/ijpds.v9i5.2663 |
| publisher |
Swansea University |
| college_str |
Faculty of Medicine, Health and Life Sciences |
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|
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facultyofmedicinehealthandlifesciences |
| hierarchy_top_title |
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 - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science |
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2024-09-10T05:25:26Z |
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11.089386 |

