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An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis

Providing electronic health data to medical practitioners to reflect on their performance can lead to improved clinical performance and quality of care. Understanding the sensemaking process that is enacted when practitioners are presented with such data is vital to ensure an improvement in performa...

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Autores principales: Whitelock-Wainwright, Emma, Koh, Jia Wei, Whitelock-Wainwright, Alexander, Talic, Stella, Rankin, David, Gašević, Dragan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520820/
https://www.ncbi.nlm.nih.gov/pubmed/36171583
http://dx.doi.org/10.1186/s12911-022-01997-1
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author Whitelock-Wainwright, Emma
Koh, Jia Wei
Whitelock-Wainwright, Alexander
Talic, Stella
Rankin, David
Gašević, Dragan
author_facet Whitelock-Wainwright, Emma
Koh, Jia Wei
Whitelock-Wainwright, Alexander
Talic, Stella
Rankin, David
Gašević, Dragan
author_sort Whitelock-Wainwright, Emma
collection PubMed
description Providing electronic health data to medical practitioners to reflect on their performance can lead to improved clinical performance and quality of care. Understanding the sensemaking process that is enacted when practitioners are presented with such data is vital to ensure an improvement in performance. Thus, the primary objective of this research was to explore physician and surgeon sensemaking when presented with electronic health data associated with their clinical performance. A systematic literature review was conducted to analyse qualitative research that explored physicians and surgeons experiences with electronic health data associated with their clinical performance published between January 2010 and March 2022. Included articles were assessed for quality, thematically synthesised, and discussed from the perspective of sensemaking. The initial search strategy for this review returned 8,829 articles that were screened at title and abstract level. Subsequent screening found 11 articles that met the eligibility criteria and were retained for analyses. Two articles met all of the standards within the chosen quality assessment (Standards for Reporting Qualitative Research, SRQR). Thematic synthesis generated five overarching themes: data communication, performance reflection, infrastructure, data quality, and risks. The confidence of such findings is reported using CERQual (Confidence in the Evidence from Reviews of Qualitative research). The way the data is communicated can impact sensemaking which has implications on what is learned and has impact on future performance. Many factors including data accuracy, validity, infrastructure, culture can also impact sensemaking and have ramifications on future practice. Providing data in order to support performance reflection is not without risks, both behavioural and affective. The latter of which can impact the practitioner’s ability to effectively make sense of the data. An important consideration when data is presented with the intent to improve performance. Registration This systematic review was registered with Prospero, registration number: CRD42020197392.
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spelling pubmed-95208202022-09-30 An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis Whitelock-Wainwright, Emma Koh, Jia Wei Whitelock-Wainwright, Alexander Talic, Stella Rankin, David Gašević, Dragan BMC Med Inform Decis Mak Research Providing electronic health data to medical practitioners to reflect on their performance can lead to improved clinical performance and quality of care. Understanding the sensemaking process that is enacted when practitioners are presented with such data is vital to ensure an improvement in performance. Thus, the primary objective of this research was to explore physician and surgeon sensemaking when presented with electronic health data associated with their clinical performance. A systematic literature review was conducted to analyse qualitative research that explored physicians and surgeons experiences with electronic health data associated with their clinical performance published between January 2010 and March 2022. Included articles were assessed for quality, thematically synthesised, and discussed from the perspective of sensemaking. The initial search strategy for this review returned 8,829 articles that were screened at title and abstract level. Subsequent screening found 11 articles that met the eligibility criteria and were retained for analyses. Two articles met all of the standards within the chosen quality assessment (Standards for Reporting Qualitative Research, SRQR). Thematic synthesis generated five overarching themes: data communication, performance reflection, infrastructure, data quality, and risks. The confidence of such findings is reported using CERQual (Confidence in the Evidence from Reviews of Qualitative research). The way the data is communicated can impact sensemaking which has implications on what is learned and has impact on future performance. Many factors including data accuracy, validity, infrastructure, culture can also impact sensemaking and have ramifications on future practice. Providing data in order to support performance reflection is not without risks, both behavioural and affective. The latter of which can impact the practitioner’s ability to effectively make sense of the data. An important consideration when data is presented with the intent to improve performance. Registration This systematic review was registered with Prospero, registration number: CRD42020197392. BioMed Central 2022-09-28 /pmc/articles/PMC9520820/ /pubmed/36171583 http://dx.doi.org/10.1186/s12911-022-01997-1 Text en © The Author(s) 2022 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
Whitelock-Wainwright, Emma
Koh, Jia Wei
Whitelock-Wainwright, Alexander
Talic, Stella
Rankin, David
Gašević, Dragan
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
title An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
title_full An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
title_fullStr An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
title_full_unstemmed An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
title_short An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
title_sort exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520820/
https://www.ncbi.nlm.nih.gov/pubmed/36171583
http://dx.doi.org/10.1186/s12911-022-01997-1
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