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An ethnographic study of improving data collection and completeness in large-scale data exercises

Background: Large-scale data collection is an increasingly prominent and influential feature of efforts to improve healthcare delivery, yet securing the involvement of clinical centres and ensuring data comprehensiveness often proves problematic. We explore how improvements in both data submission a...

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Autores principales: Dixon-Woods, Mary, Campbell, Anne, Aveling, Emma-Louise, Martin, Graham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001749/
https://www.ncbi.nlm.nih.gov/pubmed/32055711
http://dx.doi.org/10.12688/wellcomeopenres.14993.1
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author Dixon-Woods, Mary
Campbell, Anne
Aveling, Emma-Louise
Martin, Graham
author_facet Dixon-Woods, Mary
Campbell, Anne
Aveling, Emma-Louise
Martin, Graham
author_sort Dixon-Woods, Mary
collection PubMed
description Background: Large-scale data collection is an increasingly prominent and influential feature of efforts to improve healthcare delivery, yet securing the involvement of clinical centres and ensuring data comprehensiveness often proves problematic. We explore how improvements in both data submission and completion rates were achieved during a crucial period of the evolution of two large-scale data exercises. Methods:  As part of an evaluation of a quality improvement programme, we conducted an ethnographic study involving 90 interviews and 47 days of non-participant observation of two UK national clinical audits in a period before submission of data on adherence to clinical standards became mandatory. Results: Critical to the improvements in submission and completion rates in the two exercises were the efforts of clinical leaders to refigure “data work” as a professionalization strategy. Using a series of strategic manoeuvres, leaders constructed a cultural account that tied the fortunes of the healthcare professions to the submission of high-quality data, proposing that it would demonstrate responsibility, transparency, and alignment with the public interest. In so doing, clinical leadership deployed tactics that might have been seen as unwarranted managerial aggression had they been imposed by parties external to the profession. Many residual challenges were linked not to principled objection by clinicians, but to mundane problems and frustrations in obtaining, recording, and submitting data. The cultural framing of data work as a professional duty was important to resolving its status as an abject form of labour. Conclusions: Improving data quality in large-scale exercises is possible, but requires cooperation with clinical centres. Enabling professional leadership of data work may offer some significant advantages, but attention is also needed to mundane and highly consequential obstacles to participation in data collection.
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spelling pubmed-70017492020-02-12 An ethnographic study of improving data collection and completeness in large-scale data exercises Dixon-Woods, Mary Campbell, Anne Aveling, Emma-Louise Martin, Graham Wellcome Open Res Research Article Background: Large-scale data collection is an increasingly prominent and influential feature of efforts to improve healthcare delivery, yet securing the involvement of clinical centres and ensuring data comprehensiveness often proves problematic. We explore how improvements in both data submission and completion rates were achieved during a crucial period of the evolution of two large-scale data exercises. Methods:  As part of an evaluation of a quality improvement programme, we conducted an ethnographic study involving 90 interviews and 47 days of non-participant observation of two UK national clinical audits in a period before submission of data on adherence to clinical standards became mandatory. Results: Critical to the improvements in submission and completion rates in the two exercises were the efforts of clinical leaders to refigure “data work” as a professionalization strategy. Using a series of strategic manoeuvres, leaders constructed a cultural account that tied the fortunes of the healthcare professions to the submission of high-quality data, proposing that it would demonstrate responsibility, transparency, and alignment with the public interest. In so doing, clinical leadership deployed tactics that might have been seen as unwarranted managerial aggression had they been imposed by parties external to the profession. Many residual challenges were linked not to principled objection by clinicians, but to mundane problems and frustrations in obtaining, recording, and submitting data. The cultural framing of data work as a professional duty was important to resolving its status as an abject form of labour. Conclusions: Improving data quality in large-scale exercises is possible, but requires cooperation with clinical centres. Enabling professional leadership of data work may offer some significant advantages, but attention is also needed to mundane and highly consequential obstacles to participation in data collection. F1000 Research Limited 2019-12-16 /pmc/articles/PMC7001749/ /pubmed/32055711 http://dx.doi.org/10.12688/wellcomeopenres.14993.1 Text en Copyright: © 2019 Dixon-Woods M et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dixon-Woods, Mary
Campbell, Anne
Aveling, Emma-Louise
Martin, Graham
An ethnographic study of improving data collection and completeness in large-scale data exercises
title An ethnographic study of improving data collection and completeness in large-scale data exercises
title_full An ethnographic study of improving data collection and completeness in large-scale data exercises
title_fullStr An ethnographic study of improving data collection and completeness in large-scale data exercises
title_full_unstemmed An ethnographic study of improving data collection and completeness in large-scale data exercises
title_short An ethnographic study of improving data collection and completeness in large-scale data exercises
title_sort ethnographic study of improving data collection and completeness in large-scale data exercises
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001749/
https://www.ncbi.nlm.nih.gov/pubmed/32055711
http://dx.doi.org/10.12688/wellcomeopenres.14993.1
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