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Very rapid insight generation to support UK health and care systems: An AHSN approach
INTRODUCTION: COVID-19 challenges are well documented. Academic Health Science Networks (AHSNs) are a key partner to NHS and care organizations. In response to managing COVID-19 challenges, Wessex AHSN offered rapid insight generation and rapid evaluation to local NHS and care systems to capture lea...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088506/ https://www.ncbi.nlm.nih.gov/pubmed/37056460 http://dx.doi.org/10.3389/fsoc.2023.993342 |
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author | Chandler, Jackie Darnton, Philippa Sibley, Andrew |
author_facet | Chandler, Jackie Darnton, Philippa Sibley, Andrew |
author_sort | Chandler, Jackie |
collection | PubMed |
description | INTRODUCTION: COVID-19 challenges are well documented. Academic Health Science Networks (AHSNs) are a key partner to NHS and care organizations. In response to managing COVID-19 challenges, Wessex AHSN offered rapid insight generation and rapid evaluation to local NHS and care systems to capture learning during this period. This novel “Rapid Insight” approach involved one-off online deliberative events with stakeholders to generate insights linked to specific, priority areas of interest, followed by rapid analysis and dissemination of the findings. CONTEXT: Key objectives were to enable system leaders to build their adaptive leadership capability and learn from the experience of COVID-19 to inform recovery planning and system support. Rapid Insight (RI) gathered together health and care professionals into a tightly managed, virtual forum to share system intelligence. APPROACH: Focused questions asked about the systems' response to the pandemic, what changes to continue and sustain, or discontinue. Participants responded simultaneously to each question using the virtual chat function. Immediate thematic analysis of the chat conducted in 48–72 h by paired analysts for each question strengthened analytical integrity. Mind maps, the key output, provided easily assimilated information and showed linkages between themes. Telephone or virtual interviews of key informants (health and care professionals and patients) and routinely collected data were synthesized into short reports alongside several RI events. However, insufficient time limited the opportunities to engage diverse participants (e.g., mental health users). Data from RI can scope the problem and immediate system needs, to stimulate questions for future evaluative work. IMPACT: RI facilitated a shared endeavor to discover “clues in the system” by including diverse opinions and experience across NHS and care organizations. Although these rapid virtual events saved on travel time, digital exclusion might constrain participation for some stakeholders which needs other ways to ensure inclusion. Successful rapid engagement required Wessex AHSN's existing system relationships to champion RI and facilitate participant recruitment. RI events “opened the door” to conversations between up to 150 multi-professional clinicians to share their collective response to COVID-19. This paper focuses on the RI approach with a case example and its further development. |
format | Online Article Text |
id | pubmed-10088506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100885062023-04-12 Very rapid insight generation to support UK health and care systems: An AHSN approach Chandler, Jackie Darnton, Philippa Sibley, Andrew Front Sociol Sociology INTRODUCTION: COVID-19 challenges are well documented. Academic Health Science Networks (AHSNs) are a key partner to NHS and care organizations. In response to managing COVID-19 challenges, Wessex AHSN offered rapid insight generation and rapid evaluation to local NHS and care systems to capture learning during this period. This novel “Rapid Insight” approach involved one-off online deliberative events with stakeholders to generate insights linked to specific, priority areas of interest, followed by rapid analysis and dissemination of the findings. CONTEXT: Key objectives were to enable system leaders to build their adaptive leadership capability and learn from the experience of COVID-19 to inform recovery planning and system support. Rapid Insight (RI) gathered together health and care professionals into a tightly managed, virtual forum to share system intelligence. APPROACH: Focused questions asked about the systems' response to the pandemic, what changes to continue and sustain, or discontinue. Participants responded simultaneously to each question using the virtual chat function. Immediate thematic analysis of the chat conducted in 48–72 h by paired analysts for each question strengthened analytical integrity. Mind maps, the key output, provided easily assimilated information and showed linkages between themes. Telephone or virtual interviews of key informants (health and care professionals and patients) and routinely collected data were synthesized into short reports alongside several RI events. However, insufficient time limited the opportunities to engage diverse participants (e.g., mental health users). Data from RI can scope the problem and immediate system needs, to stimulate questions for future evaluative work. IMPACT: RI facilitated a shared endeavor to discover “clues in the system” by including diverse opinions and experience across NHS and care organizations. Although these rapid virtual events saved on travel time, digital exclusion might constrain participation for some stakeholders which needs other ways to ensure inclusion. Successful rapid engagement required Wessex AHSN's existing system relationships to champion RI and facilitate participant recruitment. RI events “opened the door” to conversations between up to 150 multi-professional clinicians to share their collective response to COVID-19. This paper focuses on the RI approach with a case example and its further development. Frontiers Media S.A. 2023-03-28 /pmc/articles/PMC10088506/ /pubmed/37056460 http://dx.doi.org/10.3389/fsoc.2023.993342 Text en Copyright © 2023 Chandler, Darnton and Sibley. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Sociology Chandler, Jackie Darnton, Philippa Sibley, Andrew Very rapid insight generation to support UK health and care systems: An AHSN approach |
title | Very rapid insight generation to support UK health and care systems: An AHSN approach |
title_full | Very rapid insight generation to support UK health and care systems: An AHSN approach |
title_fullStr | Very rapid insight generation to support UK health and care systems: An AHSN approach |
title_full_unstemmed | Very rapid insight generation to support UK health and care systems: An AHSN approach |
title_short | Very rapid insight generation to support UK health and care systems: An AHSN approach |
title_sort | very rapid insight generation to support uk health and care systems: an ahsn approach |
topic | Sociology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088506/ https://www.ncbi.nlm.nih.gov/pubmed/37056460 http://dx.doi.org/10.3389/fsoc.2023.993342 |
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