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Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives

OBJECTIVE: This study investigated the barriers and facilitators that senior leaders’ experience when using knowledge generated from the analysis of administrative health or care records (‘analytics’) to inform strategic health and care decision-making. SETTING: One London-based sustainability and t...

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Autores principales: Ingram, Elizabeth, Cooper, Silvie, Beardon, Sarah, Körner, Katherine, McDonald, Helen I, Hogarth, Sue, Gomes, Manuel, Sheringham, Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860022/
https://www.ncbi.nlm.nih.gov/pubmed/35177457
http://dx.doi.org/10.1136/bmjopen-2021-055504
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author Ingram, Elizabeth
Cooper, Silvie
Beardon, Sarah
Körner, Katherine
McDonald, Helen I
Hogarth, Sue
Gomes, Manuel
Sheringham, Jessica
author_facet Ingram, Elizabeth
Cooper, Silvie
Beardon, Sarah
Körner, Katherine
McDonald, Helen I
Hogarth, Sue
Gomes, Manuel
Sheringham, Jessica
author_sort Ingram, Elizabeth
collection PubMed
description OBJECTIVE: This study investigated the barriers and facilitators that senior leaders’ experience when using knowledge generated from the analysis of administrative health or care records (‘analytics’) to inform strategic health and care decision-making. SETTING: One London-based sustainability and transformation partnership (STP) in England, as it was on the cusp of forming an integrated care system (ICS). PARTICIPANTS: 20 senior leaders, including health and social care commissioners, public health leads and health providers. Participants were eligible for inclusion if they were a senior leader of a constituent organisation of the STP and involved in using analytics to make decisions for their own organisations or health and care systems. DESIGN: Semi-structured interviews conducted between January 2020 and March 2020 and analysed using the framework method to generate common themes. RESULTS: Organisational fragmentation hindered use of analytics by creating siloed data systems, barriers to data sharing and different organisational priorities. Where trusted and collaborative relationships existed between leaders and analysts, organisational barriers were circumvented and access to and support for analytics facilitated. Trusted and collaborative relationships between individual leaders of different organisations also aided cross-organisational priority setting, which was a key facilitator of strategic health and care decision-making and use of analytics. Data linked across health and care settings were viewed as an enabler of use of analytics for decision-making, while concerns around data quality often stopped analytics use as a part of decision-making, with participants relying more so on expert opinion or intuition. CONCLUSIONS: The UK Governments’ 2021 White Paper set out aspirations for data to transform care. While necessary, policy changes to facilitate data sharing across organisations will be insufficient to realise this aim. Better integration of organisations with aligned priorities could support and sustain cross-organisational relationships between leaders and analysts, and leaders of different organisations, to facilitate use of analytics in decision-making.
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spelling pubmed-88600222022-03-08 Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives Ingram, Elizabeth Cooper, Silvie Beardon, Sarah Körner, Katherine McDonald, Helen I Hogarth, Sue Gomes, Manuel Sheringham, Jessica BMJ Open Health Services Research OBJECTIVE: This study investigated the barriers and facilitators that senior leaders’ experience when using knowledge generated from the analysis of administrative health or care records (‘analytics’) to inform strategic health and care decision-making. SETTING: One London-based sustainability and transformation partnership (STP) in England, as it was on the cusp of forming an integrated care system (ICS). PARTICIPANTS: 20 senior leaders, including health and social care commissioners, public health leads and health providers. Participants were eligible for inclusion if they were a senior leader of a constituent organisation of the STP and involved in using analytics to make decisions for their own organisations or health and care systems. DESIGN: Semi-structured interviews conducted between January 2020 and March 2020 and analysed using the framework method to generate common themes. RESULTS: Organisational fragmentation hindered use of analytics by creating siloed data systems, barriers to data sharing and different organisational priorities. Where trusted and collaborative relationships existed between leaders and analysts, organisational barriers were circumvented and access to and support for analytics facilitated. Trusted and collaborative relationships between individual leaders of different organisations also aided cross-organisational priority setting, which was a key facilitator of strategic health and care decision-making and use of analytics. Data linked across health and care settings were viewed as an enabler of use of analytics for decision-making, while concerns around data quality often stopped analytics use as a part of decision-making, with participants relying more so on expert opinion or intuition. CONCLUSIONS: The UK Governments’ 2021 White Paper set out aspirations for data to transform care. While necessary, policy changes to facilitate data sharing across organisations will be insufficient to realise this aim. Better integration of organisations with aligned priorities could support and sustain cross-organisational relationships between leaders and analysts, and leaders of different organisations, to facilitate use of analytics in decision-making. BMJ Publishing Group 2022-02-17 /pmc/articles/PMC8860022/ /pubmed/35177457 http://dx.doi.org/10.1136/bmjopen-2021-055504 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Services Research
Ingram, Elizabeth
Cooper, Silvie
Beardon, Sarah
Körner, Katherine
McDonald, Helen I
Hogarth, Sue
Gomes, Manuel
Sheringham, Jessica
Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives
title Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives
title_full Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives
title_fullStr Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives
title_full_unstemmed Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives
title_short Barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives
title_sort barriers and facilitators of use of analytics for strategic health and care decision-making: a qualitative study of senior health and care leaders’ perspectives
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860022/
https://www.ncbi.nlm.nih.gov/pubmed/35177457
http://dx.doi.org/10.1136/bmjopen-2021-055504
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