Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: McVey, Lynn, Alvarado, Natasha, Greenhalgh, Joanne, Elshehaly, Mai, Gale, Chris P., Lake, Julia, Ruddle, Roy A., Dowding, Dawn, Mamas, Mamas, Feltbower, Richard, Randell, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1783723439977136128
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
work_keys_str_mv AT mcveylynn hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT alvaradonatasha hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT greenhalghjoanne hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT elshehalymai hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT galechrisp hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT lakejulia hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT ruddleroya hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT dowdingdawn hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT mamasmamas hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT feltbowerrichard hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit
AT randellrebecca hiddenlabourtheskilfulworkofclinicalauditdatacollectionanditsimplicationsforsecondaryuseofdataviaintegratedhealthit