Literature DB >> 34271925

Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT.

Lynn McVey1,2, Natasha Alvarado3,4, Joanne Greenhalgh5, Mai Elshehaly4,6, Chris P Gale7, Julia Lake8, Roy A Ruddle9, Dawn Dowding10, Mamas Mamas11, Richard Feltbower7, Rebecca Randell3,4.   

Abstract

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.
© 2021. The Author(s).

Entities:  

Keywords:  Clinical audit; Data collection; Data quality; Electronic patient records; Interoperability; Registries

Year:  2021        PMID: 34271925     DOI: 10.1186/s12913-021-06657-0

Source DB:  PubMed          Journal:  BMC Health Serv Res        ISSN: 1472-6963            Impact factor:   2.655


  12 in total

1.  The contextual nature of medical information.

Authors:  M Berg; E Goorman
Journal:  Int J Med Inform       Date:  1999-12       Impact factor: 4.046

2.  Science friction: data, metadata, and collaboration.

Authors:  Paul N Edwards; Matthew S Mayernik; Archer L Batcheller; Geoffrey C Bowker; Christine L Borgman
Journal:  Soc Stud Sci       Date:  2011-10       Impact factor: 3.885

3.  Understanding context for quality improvement: artefacts, affordances and socio-material infrastructure.

Authors:  Davina Allen
Journal:  Health (London)       Date:  2012-11-01

Review 4.  Interoperability in NHS hospitals must be improved: the Care Quality Commission should be a key actor in this process.

Authors:  Joe Zhang; Harpreet Sood; Oliver Thomas Harrison; Ben Horner; Nikhil Sharma; Sanjay Budhdeo
Journal:  J R Soc Med       Date:  2020-01-06       Impact factor: 5.344

5.  Factors affecting physicians' use of a dedicated overview interface in an electronic health record: The importance of standard information and standard documentation.

Authors:  Lotte Groth Jensen; Claus Bossen
Journal:  Int J Med Inform       Date:  2015-12-17       Impact factor: 4.046

6.  Caring for the patient, caring for the record: an ethnographic study of 'back office' work in upholding quality of care in general practice.

Authors:  Deborah Swinglehurst; Trisha Greenhalgh
Journal:  BMC Health Serv Res       Date:  2015-04-23       Impact factor: 2.655

7.  How, in what contexts, and why do quality dashboards lead to improvements in care quality in acute hospitals? Protocol for a realist feasibility evaluation.

Authors:  Rebecca Randell; Natasha Alvarado; Lynn McVey; Joanne Greenhalgh; Robert M West; Amanda Farrin; Chris Gale; Roger Parslow; Justin Keen; Mai Elshehaly; Roy A Ruddle; Julia Lake; Mamas Mamas; Richard Feltbower; Dawn Dowding
Journal:  BMJ Open       Date:  2020-02-25       Impact factor: 2.692

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

Authors:  Mary Dixon-Woods; Anne Campbell; Emma-Louise Aveling; Graham Martin
Journal:  Wellcome Open Res       Date:  2019-12-16

9.  COVID-19 in critical care: epidemiology of the first epidemic wave across England, Wales and Northern Ireland.

Authors:  Alvin Richards-Belle; Izabella Orzechowska; Doug W Gould; Karen Thomas; James C Doidge; Paul R Mouncey; Michael D Christian; Manu Shankar-Hari; David A Harrison; Kathryn M Rowan
Journal:  Intensive Care Med       Date:  2020-10-09       Impact factor: 17.440

10.  Effects of interorganisational information technology networks on patient safety: a realist synthesis.

Authors:  Justin Keen; Maysam Ali Abdulwahid; Natalie King; Judy M Wright; Rebecca Randell; Peter Gardner; Justin Waring; Roberta Longo; Silviya Nikolova; Claire Sloan; Joanne Greenhalgh
Journal:  BMJ Open       Date:  2020-10-10       Impact factor: 2.692

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