ARCH Data Analysis Report

Torabi, Fatemeh; Lyons, Jane; Lyons, Ronan; Akbari, Ashley

doi:https://doi.org/

ResearchReportExternalBody 866 views

ARCH Data Analysis Report

Fatemeh Torabi

, Jane Lyons, Ronan Lyons

, Ashley Akbari

Swansea University Authors: Fatemeh Torabi , Jane Lyons, Ronan Lyons , Ashley Akbari

Abstract

The ARCH (A Regional Collaboration for Health) program focuses on the principles of prudent healthcare in service reconfiguration and the promotion of wellbeing and an evidence based approach to service evaluation and monitoring progress. A suite of new tools and insights will be needed to guide the...

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Published:	2017
URI:	https://cronfa.swan.ac.uk/Record/cronfa44547
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first_indexed	2018-09-23T03:57:17Z
last_indexed	2018-09-23T03:57:17Z
id	cronfa44547
recordtype	SURis
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spelling	2018-09-22T22:18:09.9598275 v2 44547 2018-09-22 ARCH Data Analysis Report f569591e1bfb0e405b8091f99fec45d3 0000-0002-5853-4625 Fatemeh Torabi Fatemeh Torabi true false 1b74fa5125a88451c52c45bcf20e0b47 Jane Lyons Jane Lyons true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-09-22 HDAT The ARCH (A Regional Collaboration for Health) program focuses on the principles of prudent healthcare in service reconfiguration and the promotion of wellbeing and an evidence based approach to service evaluation and monitoring progress. A suite of new tools and insights will be needed to guide the ARCH programme. The Prudent Health Care Intelligence Hub at the Farr Institute, Swansea University was commissioned to explore the potential to use the wide variety of linked data within the Secure Anonymised Information Linkage (SAIL) Databank to provide novel insights into patterns of health service utilization, health status and wellbeing, as part of a feasibility study of using such data to inform the development of the ARCH Case for Change. The team looked at two components, resilience – particularly the distribution of low health service users, and the creation of a novel wellbeing index from survey data. The data in SAIL are very complex and undertaking informed analyses requires many different skill sets including in-depth knowledge of data, data integration, manipulation and statistical analysis. Due to the relatively short period of time available to conduct this work the analyses provided should be treated as exemplars of what could be done rather than completely finished products. It is envisaged that widespread discussion will be required and that further iterations of analyses will be undertaken before the proposed ARCH specific progress indicators are finalized. ResearchReportExternalBody 13 2 2017 2017-02-13 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-09-22T22:18:09.9598275 2018-09-22T22:17:37.3079584 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Fatemeh Torabi 0000-0002-5853-4625 1 Jane Lyons 2 Ronan Lyons 0000-0001-5225-000X 3 Ashley Akbari 0000-0003-0814-0801 4
title	ARCH Data Analysis Report
spellingShingle	ARCH Data Analysis Report Fatemeh Torabi Jane Lyons Ronan Lyons Ashley Akbari
title_short	ARCH Data Analysis Report
title_full	ARCH Data Analysis Report
title_fullStr	ARCH Data Analysis Report
title_full_unstemmed	ARCH Data Analysis Report
title_sort	ARCH Data Analysis Report
author_id_str_mv	f569591e1bfb0e405b8091f99fec45d3 1b74fa5125a88451c52c45bcf20e0b47 83efcf2a9dfcf8b55586999d3d152ac6 aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv	f569591e1bfb0e405b8091f99fec45d3_*_Fatemeh Torabi 1b74fa5125a88451c52c45bcf20e0b47__Jane Lyons 83efcf2a9dfcf8b55586999d3d152ac6__Ronan Lyons aa1b025ec0243f708bb5eb0a93d6fb52_*_Ashley Akbari
author	Fatemeh Torabi Jane Lyons Ronan Lyons Ashley Akbari
author2	Fatemeh Torabi Jane Lyons Ronan Lyons Ashley Akbari
format	ResearchReportExternalBody
publishDate	2017
institution	Swansea University
college_str	Faculty of Medicine, Health and Life Sciences
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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 - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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description	The ARCH (A Regional Collaboration for Health) program focuses on the principles of prudent healthcare in service reconfiguration and the promotion of wellbeing and an evidence based approach to service evaluation and monitoring progress. A suite of new tools and insights will be needed to guide the ARCH programme. The Prudent Health Care Intelligence Hub at the Farr Institute, Swansea University was commissioned to explore the potential to use the wide variety of linked data within the Secure Anonymised Information Linkage (SAIL) Databank to provide novel insights into patterns of health service utilization, health status and wellbeing, as part of a feasibility study of using such data to inform the development of the ARCH Case for Change. The team looked at two components, resilience – particularly the distribution of low health service users, and the creation of a novel wellbeing index from survey data. The data in SAIL are very complex and undertaking informed analyses requires many different skill sets including in-depth knowledge of data, data integration, manipulation and statistical analysis. Due to the relatively short period of time available to conduct this work the analyses provided should be treated as exemplars of what could be done rather than completely finished products. It is envisaged that widespread discussion will be required and that further iterations of analyses will be undertaken before the proposed ARCH specific progress indicators are finalized.
published_date	2017-02-13T03:55:49Z
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score	11.014067

ARCH Data Analysis Report

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