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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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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. |
format | Online Article Text |
id | pubmed-7001749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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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