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Variation in clinical decision-making for induction of labour: a qualitative study

BACKGROUND: Unexplained variation in induction of labour (IOL) rates exist between hospitals, even after accounting for casemix and hospital differences. We aimed to explore factors that influence clinical decision-making for IOL that may be contributing to the variation in IOL rates between hospita...

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Autores principales: Nippita, Tanya A., Porter, Maree, Seeho, Sean K., Morris, Jonathan M., Roberts, Christine L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610463/
https://www.ncbi.nlm.nih.gov/pubmed/28938878
http://dx.doi.org/10.1186/s12884-017-1518-y
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author Nippita, Tanya A.
Porter, Maree
Seeho, Sean K.
Morris, Jonathan M.
Roberts, Christine L.
author_facet Nippita, Tanya A.
Porter, Maree
Seeho, Sean K.
Morris, Jonathan M.
Roberts, Christine L.
author_sort Nippita, Tanya A.
collection PubMed
description BACKGROUND: Unexplained variation in induction of labour (IOL) rates exist between hospitals, even after accounting for casemix and hospital differences. We aimed to explore factors that influence clinical decision-making for IOL that may be contributing to the variation in IOL rates between hospitals. METHODS: We undertook a qualitative study involving semi-structured, audio-recorded interviews with obstetricians and midwives. Using purposive sampling, participants known to have diverse opinions on IOL were selected from ten Australian maternity hospitals (based on differences in hospital IOL rate, size, location and case-mix complexities). Transcripts were indexed, coded, and analysed using the Framework Approach to identify main themes and subthemes. RESULTS: Forty-five participants were interviewed (21 midwives, 24 obstetric medical staff). Variations in decision-making for IOL were based on the obstetrician’s perception of medical risk in the pregnancy (influenced by the obstetrician’s personality and knowledge), their care relationship with the woman, how they involved the woman in decision-making, and resource availability. The role of a ‘gatekeeper’ in the procedural aspects of arranging an IOL also influenced decision-making. There was wide variation in the clinical decision-making practices of obstetricians and less accountability for decision-making in hospitals with a high IOL rate, with the converse occurring in hospitals with low IOL rates. CONCLUSION: Improved communication, standardised risk assessment and accountability for IOL offer potential for reducing variation in hospital IOL rates.
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spelling pubmed-56104632017-10-10 Variation in clinical decision-making for induction of labour: a qualitative study Nippita, Tanya A. Porter, Maree Seeho, Sean K. Morris, Jonathan M. Roberts, Christine L. BMC Pregnancy Childbirth Research Article BACKGROUND: Unexplained variation in induction of labour (IOL) rates exist between hospitals, even after accounting for casemix and hospital differences. We aimed to explore factors that influence clinical decision-making for IOL that may be contributing to the variation in IOL rates between hospitals. METHODS: We undertook a qualitative study involving semi-structured, audio-recorded interviews with obstetricians and midwives. Using purposive sampling, participants known to have diverse opinions on IOL were selected from ten Australian maternity hospitals (based on differences in hospital IOL rate, size, location and case-mix complexities). Transcripts were indexed, coded, and analysed using the Framework Approach to identify main themes and subthemes. RESULTS: Forty-five participants were interviewed (21 midwives, 24 obstetric medical staff). Variations in decision-making for IOL were based on the obstetrician’s perception of medical risk in the pregnancy (influenced by the obstetrician’s personality and knowledge), their care relationship with the woman, how they involved the woman in decision-making, and resource availability. The role of a ‘gatekeeper’ in the procedural aspects of arranging an IOL also influenced decision-making. There was wide variation in the clinical decision-making practices of obstetricians and less accountability for decision-making in hospitals with a high IOL rate, with the converse occurring in hospitals with low IOL rates. CONCLUSION: Improved communication, standardised risk assessment and accountability for IOL offer potential for reducing variation in hospital IOL rates. BioMed Central 2017-09-22 /pmc/articles/PMC5610463/ /pubmed/28938878 http://dx.doi.org/10.1186/s12884-017-1518-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Nippita, Tanya A.
Porter, Maree
Seeho, Sean K.
Morris, Jonathan M.
Roberts, Christine L.
Variation in clinical decision-making for induction of labour: a qualitative study
title Variation in clinical decision-making for induction of labour: a qualitative study
title_full Variation in clinical decision-making for induction of labour: a qualitative study
title_fullStr Variation in clinical decision-making for induction of labour: a qualitative study
title_full_unstemmed Variation in clinical decision-making for induction of labour: a qualitative study
title_short Variation in clinical decision-making for induction of labour: a qualitative study
title_sort variation in clinical decision-making for induction of labour: a qualitative study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610463/
https://www.ncbi.nlm.nih.gov/pubmed/28938878
http://dx.doi.org/10.1186/s12884-017-1518-y
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