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Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT
BACKGROUND: Secondary use of data via integrated health information technology is fundamental to many healthcare policies and processes worldwide. However, repurposing data can be problematic and little research has been undertaken into the everyday practicalities of inter-system data sharing that h...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284699/ https://www.ncbi.nlm.nih.gov/pubmed/34271925 http://dx.doi.org/10.1186/s12913-021-06657-0 |
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author | McVey, Lynn Alvarado, Natasha Greenhalgh, Joanne Elshehaly, Mai Gale, Chris P. Lake, Julia Ruddle, Roy A. Dowding, Dawn Mamas, Mamas Feltbower, Richard Randell, Rebecca |
author_facet | McVey, Lynn Alvarado, Natasha Greenhalgh, Joanne Elshehaly, Mai Gale, Chris P. Lake, Julia Ruddle, Roy A. Dowding, Dawn Mamas, Mamas Feltbower, Richard Randell, Rebecca |
author_sort | McVey, Lynn |
collection | PubMed |
description | BACKGROUND: Secondary use of data via integrated health information technology is fundamental to many healthcare policies and processes worldwide. However, repurposing data can be problematic and little research has been undertaken into the everyday practicalities of inter-system data sharing that helps explain why this is so, especially within (as opposed to between) organisations. In response, this article reports one of the most detailed empirical examinations undertaken to date of the work involved in repurposing healthcare data for National Clinical Audits. METHODS: Fifty-four semi-structured, qualitative interviews were carried out with staff in five English National Health Service hospitals about their audit work, including 20 staff involved substantively with audit data collection. In addition, ethnographic observations took place on wards, in ‘back offices’ and meetings (102 h). Findings were analysed thematically and synthesised in narratives. RESULTS: Although data were available within hospital applications for secondary use in some audit fields, which could, in theory, have been auto-populated, in practice staff regularly negotiated multiple, unintegrated systems to generate audit records. This work was complex and skilful, and involved cross-checking and double data entry, often using paper forms, to assure data quality and inform quality improvements. CONCLUSIONS: If technology is to facilitate the secondary use of healthcare data, the skilled but largely hidden labour of those who collect and recontextualise those data must be recognised. Their detailed understandings of what it takes to produce high quality data in specific contexts should inform the further development of integrated systems within organisations. |
format | Online Article Text |
id | pubmed-8284699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82846992021-07-19 Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT McVey, Lynn Alvarado, Natasha Greenhalgh, Joanne Elshehaly, Mai Gale, Chris P. Lake, Julia Ruddle, Roy A. Dowding, Dawn Mamas, Mamas Feltbower, Richard Randell, Rebecca BMC Health Serv Res Research BACKGROUND: Secondary use of data via integrated health information technology is fundamental to many healthcare policies and processes worldwide. However, repurposing data can be problematic and little research has been undertaken into the everyday practicalities of inter-system data sharing that helps explain why this is so, especially within (as opposed to between) organisations. In response, this article reports one of the most detailed empirical examinations undertaken to date of the work involved in repurposing healthcare data for National Clinical Audits. METHODS: Fifty-four semi-structured, qualitative interviews were carried out with staff in five English National Health Service hospitals about their audit work, including 20 staff involved substantively with audit data collection. In addition, ethnographic observations took place on wards, in ‘back offices’ and meetings (102 h). Findings were analysed thematically and synthesised in narratives. RESULTS: Although data were available within hospital applications for secondary use in some audit fields, which could, in theory, have been auto-populated, in practice staff regularly negotiated multiple, unintegrated systems to generate audit records. This work was complex and skilful, and involved cross-checking and double data entry, often using paper forms, to assure data quality and inform quality improvements. CONCLUSIONS: If technology is to facilitate the secondary use of healthcare data, the skilled but largely hidden labour of those who collect and recontextualise those data must be recognised. Their detailed understandings of what it takes to produce high quality data in specific contexts should inform the further development of integrated systems within organisations. BioMed Central 2021-07-16 /pmc/articles/PMC8284699/ /pubmed/34271925 http://dx.doi.org/10.1186/s12913-021-06657-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research McVey, Lynn Alvarado, Natasha Greenhalgh, Joanne Elshehaly, Mai Gale, Chris P. Lake, Julia Ruddle, Roy A. Dowding, Dawn Mamas, Mamas Feltbower, Richard Randell, Rebecca Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT |
title | Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT |
title_full | Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT |
title_fullStr | Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT |
title_full_unstemmed | Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT |
title_short | Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT |
title_sort | hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health it |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284699/ https://www.ncbi.nlm.nih.gov/pubmed/34271925 http://dx.doi.org/10.1186/s12913-021-06657-0 |
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