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Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support

BACKGROUND: Quality improvement (QI) initiatives characterised by iterative cycles of quantitative data analysis do not readily explain the organisational determinants of change. However, the integration of sociotechnical theory can inform more effective strategies. Our specific aims were to (1) des...

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Detalles Bibliográficos
Autores principales: Lesselroth, Blake J, Yang, Jianji, McConnachie, Judy, Brenk, Thomas, Winterbottom, Lisa
Formato: Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088464/
https://www.ncbi.nlm.nih.gov/pubmed/21209144
http://dx.doi.org/10.1136/bmjqs.2010.042689
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author Lesselroth, Blake J
Yang, Jianji
McConnachie, Judy
Brenk, Thomas
Winterbottom, Lisa
author_facet Lesselroth, Blake J
Yang, Jianji
McConnachie, Judy
Brenk, Thomas
Winterbottom, Lisa
author_sort Lesselroth, Blake J
collection PubMed
description BACKGROUND: Quality improvement (QI) initiatives characterised by iterative cycles of quantitative data analysis do not readily explain the organisational determinants of change. However, the integration of sociotechnical theory can inform more effective strategies. Our specific aims were to (1) describe a computerised decision support intervention intended to improve adherence with deep venous thrombosis (DVT) prophylaxis recommendations; and (2) show how sociotechnical theory expressed in ‘Fit between Individuals, Task and Technology’ framework (FITT) can identify and clarify the facilitators and barriers to QI work. METHODS: A multidisciplinary team developed and implemented electronic menus with DVT prophylaxis recommendations. Stakeholders were interviewed and human factors were analysed to optimise integration. Menu exposure, order placement and clinical performance were measured. Vista tool extraction and chart review were used. Performance compliance pre-implementation was 77%. RESULTS: There were 80–110 eligible cases per month. Initial menu use rate was 20%. After barriers were classified and addressed using the FITT framework, use improved 50% to 90%. Tasks, users and technology issues in the FITT model and their interfaces were identified and addressed. Workflow styles, concerns about validity of guidelines, cycle times and perceived ambiguity of risk were issues identified. CONCLUSIONS: DVT prophylaxis in a surgical setting is fraught with socio-political agendas, cognitive dissonance and misaligned expectations. These must be sought and articulated if organisations are to respond to internal resistance to change. This case study demonstrates that QI teams using information technology must understand the clinical context, even in mature electronic health record environments, in order to implement sustainable systems.
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spelling pubmed-30884642011-05-16 Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support Lesselroth, Blake J Yang, Jianji McConnachie, Judy Brenk, Thomas Winterbottom, Lisa BMJ Qual Saf Original Research BACKGROUND: Quality improvement (QI) initiatives characterised by iterative cycles of quantitative data analysis do not readily explain the organisational determinants of change. However, the integration of sociotechnical theory can inform more effective strategies. Our specific aims were to (1) describe a computerised decision support intervention intended to improve adherence with deep venous thrombosis (DVT) prophylaxis recommendations; and (2) show how sociotechnical theory expressed in ‘Fit between Individuals, Task and Technology’ framework (FITT) can identify and clarify the facilitators and barriers to QI work. METHODS: A multidisciplinary team developed and implemented electronic menus with DVT prophylaxis recommendations. Stakeholders were interviewed and human factors were analysed to optimise integration. Menu exposure, order placement and clinical performance were measured. Vista tool extraction and chart review were used. Performance compliance pre-implementation was 77%. RESULTS: There were 80–110 eligible cases per month. Initial menu use rate was 20%. After barriers were classified and addressed using the FITT framework, use improved 50% to 90%. Tasks, users and technology issues in the FITT model and their interfaces were identified and addressed. Workflow styles, concerns about validity of guidelines, cycle times and perceived ambiguity of risk were issues identified. CONCLUSIONS: DVT prophylaxis in a surgical setting is fraught with socio-political agendas, cognitive dissonance and misaligned expectations. These must be sought and articulated if organisations are to respond to internal resistance to change. This case study demonstrates that QI teams using information technology must understand the clinical context, even in mature electronic health record environments, in order to implement sustainable systems. BMJ Group 2011-01-05 2011-05 /pmc/articles/PMC3088464/ /pubmed/21209144 http://dx.doi.org/10.1136/bmjqs.2010.042689 Text en © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Original Research
Lesselroth, Blake J
Yang, Jianji
McConnachie, Judy
Brenk, Thomas
Winterbottom, Lisa
Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support
title Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support
title_full Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support
title_fullStr Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support
title_full_unstemmed Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support
title_short Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support
title_sort addressing the sociotechnical drivers of quality improvement: a case study of post-operative dvt prophylaxis computerised decision support
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088464/
https://www.ncbi.nlm.nih.gov/pubmed/21209144
http://dx.doi.org/10.1136/bmjqs.2010.042689
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