ResearchReportExternalBody 920 views
ARCH Wellbeing Report
Mathilde Castagnet,
Ronan Lyons,
Sinead Brophy,
Gareth Stratton,
Ann John,
Sarah Rodgers,
Richard Fry,
Emily Marchant,
Charlotte Todd,
Jane Lyons,
Fatemeh Torabi,
Ashley Akbari
Swansea University Author: Ashley Akbari
Abstract
This paper describes the contribution of the National Centre for Population Health and Wellbeing Research (NCPHWR) and Farr Institute, Swansea University to the ARCH Case for Change. NCPHWR was commissioned to help with the development of the Case for Change by utilising its expertise and assets to...
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2017
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Online Access: |
http://www.arch.wales/getfile/site_documents/Understanding%20and%20Measuring%20Wellbeing.pdf |
URI: | https://cronfa.swan.ac.uk/Record/cronfa44546 |
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2018-09-23T03:57:17Z |
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2018-09-23T03:57:17Z |
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2018-09-22T22:15:58.3638970 v2 44546 2018-09-22 ARCH Wellbeing Report aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-09-22 MEDS This paper describes the contribution of the National Centre for Population Health and Wellbeing Research (NCPHWR) and Farr Institute, Swansea University to the ARCH Case for Change. NCPHWR was commissioned to help with the development of the Case for Change by utilising its expertise and assets to help1. Define wellbeing and relevant associated metrics2. Summarise existing knowledge on what works to improve wellbeing3. Advise on wellbeing indicators to consider for use in ARCH4. Advise on how to measure wellbeing using data from SAIL and on data gapsThe research involved discussion and engagement with subject specific experts, scoping reviews of relevant literature and analysis of linked and unlinked data, primarily through the Secure Anonymised Information Linkage (SAIL) databank. Given the amount of work involved the analysis of data from SAIL and the Welsh Health Survey is contained in the accompanying ARCH Data Analysis Report ResearchReportExternalBody 13 2 2017 2017-02-13 http://www.arch.wales/getfile/site_documents/Understanding%20and%20Measuring%20Wellbeing.pdf COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2018-09-22T22:15:58.3638970 2018-09-22T22:14:01.5280422 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Mathilde Castagnet 1 Ronan Lyons 2 Sinead Brophy 3 Gareth Stratton 4 Ann John 5 Sarah Rodgers 6 Richard Fry 7 Emily Marchant 8 Charlotte Todd 9 Jane Lyons 10 Fatemeh Torabi 11 Ashley Akbari 0000-0003-0814-0801 12 |
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ARCH Wellbeing Report |
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ARCH Wellbeing Report Ashley Akbari |
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ARCH Wellbeing Report |
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ARCH Wellbeing Report |
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ARCH Wellbeing Report |
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ARCH Wellbeing Report |
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ARCH Wellbeing Report |
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aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari |
author |
Ashley Akbari |
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Mathilde Castagnet Ronan Lyons Sinead Brophy Gareth Stratton Ann John Sarah Rodgers Richard Fry Emily Marchant Charlotte Todd Jane Lyons Fatemeh Torabi Ashley Akbari |
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2017 |
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Swansea University |
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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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http://www.arch.wales/getfile/site_documents/Understanding%20and%20Measuring%20Wellbeing.pdf |
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This paper describes the contribution of the National Centre for Population Health and Wellbeing Research (NCPHWR) and Farr Institute, Swansea University to the ARCH Case for Change. NCPHWR was commissioned to help with the development of the Case for Change by utilising its expertise and assets to help1. Define wellbeing and relevant associated metrics2. Summarise existing knowledge on what works to improve wellbeing3. Advise on wellbeing indicators to consider for use in ARCH4. Advise on how to measure wellbeing using data from SAIL and on data gapsThe research involved discussion and engagement with subject specific experts, scoping reviews of relevant literature and analysis of linked and unlinked data, primarily through the Secure Anonymised Information Linkage (SAIL) databank. Given the amount of work involved the analysis of data from SAIL and the Welsh Health Survey is contained in the accompanying ARCH Data Analysis Report |
published_date |
2017-02-13T07:34:59Z |
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1821390037663612928 |
score |
11.364387 |