Exploring women's preferences for birth settings in England: A discrete choice experiment

To explore pregnant women's preferences for birth setting in England. Labelled discrete choice experiment (DCE). Online survey. Pregnant women recruited through social media and an online panel. We developed a DCE to assess women's preferences for four hypothetical birth settings based on...

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Published in:PloS one Vol. 14; no. 4; p. e0215098
Main Authors: Fletcher, Benjamin Rupert, Rowe, Rachel, Hollowell, Jennifer, Scanlon, Miranda, Hinton, Lisa, Rivero-Arias, Oliver
Format: Journal Article
Language:English
Published: United States Public Library of Science 11-04-2019
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Abstract To explore pregnant women's preferences for birth setting in England. Labelled discrete choice experiment (DCE). Online survey. Pregnant women recruited through social media and an online panel. We developed a DCE to assess women's preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings. Women's preferences for birth setting. 257 pregnant women completed the DCE. All birth setting attributes, except 'time to see doctor', were significant in women's choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for 'safety for the baby' and 'partner able to stay overnight' were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings. We found that 'safety for the baby', 'chance of a straightforward birth' and 'can the woman's partner stay overnight following birth' were particularly important in women's preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.
AbstractList To explore pregnant women's preferences for birth setting in England. Labelled discrete choice experiment (DCE). Online survey. Pregnant women recruited through social media and an online panel. We developed a DCE to assess women's preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings. Women's preferences for birth setting. 257 pregnant women completed the DCE. All birth setting attributes, except 'time to see doctor', were significant in women's choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for 'safety for the baby' and 'partner able to stay overnight' were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings. We found that 'safety for the baby', 'chance of a straightforward birth' and 'can the woman's partner stay overnight following birth' were particularly important in women's preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.
Objective To explore pregnant women’s preferences for birth setting in England. Design Labelled discrete choice experiment (DCE). Setting Online survey. Sample Pregnant women recruited through social media and an online panel. Methods We developed a DCE to assess women’s preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings. Main outcome measures Women’s preferences for birth setting. Results 257 pregnant women completed the DCE. All birth setting attributes, except ‘time to see doctor’, were significant in women’s choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for ‘safety for the baby’ and ‘partner able to stay overnight’ were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings. Conclusions We found that ‘safety for the baby’, ‘chance of a straightforward birth’ and ‘can the woman’s partner stay overnight following birth’ were particularly important in women’s preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.
To explore pregnant women's preferences for birth setting in England.OBJECTIVETo explore pregnant women's preferences for birth setting in England.Labelled discrete choice experiment (DCE).DESIGNLabelled discrete choice experiment (DCE).Online survey.SETTINGOnline survey.Pregnant women recruited through social media and an online panel.SAMPLEPregnant women recruited through social media and an online panel.We developed a DCE to assess women's preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings.METHODSWe developed a DCE to assess women's preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings.Women's preferences for birth setting.MAIN OUTCOME MEASURESWomen's preferences for birth setting.257 pregnant women completed the DCE. All birth setting attributes, except 'time to see doctor', were significant in women's choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for 'safety for the baby' and 'partner able to stay overnight' were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings.RESULTS257 pregnant women completed the DCE. All birth setting attributes, except 'time to see doctor', were significant in women's choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for 'safety for the baby' and 'partner able to stay overnight' were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings.We found that 'safety for the baby', 'chance of a straightforward birth' and 'can the woman's partner stay overnight following birth' were particularly important in women's preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.CONCLUSIONSWe found that 'safety for the baby', 'chance of a straightforward birth' and 'can the woman's partner stay overnight following birth' were particularly important in women's preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.
ObjectiveTo explore pregnant women's preferences for birth setting in England.DesignLabelled discrete choice experiment (DCE).SettingOnline survey.SamplePregnant women recruited through social media and an online panel.MethodsWe developed a DCE to assess women's preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings.Main outcome measuresWomen's preferences for birth setting.Results257 pregnant women completed the DCE. All birth setting attributes, except 'time to see doctor', were significant in women's choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for 'safety for the baby' and 'partner able to stay overnight' were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings.ConclusionsWe found that 'safety for the baby', 'chance of a straightforward birth' and 'can the woman's partner stay overnight following birth' were particularly important in women's preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.
To explore pregnant women's preferences for birth setting in England. Labelled discrete choice experiment (DCE). Online survey. Pregnant women recruited through social media and an online panel. We developed a DCE to assess women's preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings. Women's preferences for birth setting. 257 pregnant women completed the DCE. All birth setting attributes, except 'time to see doctor', were significant in women's choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for 'safety for the baby' and 'partner able to stay overnight' were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings. We found that 'safety for the baby', 'chance of a straightforward birth' and 'can the woman's partner stay overnight following birth' were particularly important in women's preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.
Objective To explore pregnant women’s preferences for birth setting in England. Design Labelled discrete choice experiment (DCE). Setting Online survey. Sample Pregnant women recruited through social media and an online panel. Methods We developed a DCE to assess women’s preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings. Main outcome measures Women’s preferences for birth setting. Results 257 pregnant women completed the DCE. All birth setting attributes, except ‘time to see doctor’, were significant in women’s choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for ‘safety for the baby’ and ‘partner able to stay overnight’ were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings. Conclusions We found that ‘safety for the baby’, ‘chance of a straightforward birth’ and ‘can the woman’s partner stay overnight following birth’ were particularly important in women’s preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit.
Audience Academic
Author Scanlon, Miranda
Rowe, Rachel
Hinton, Lisa
Fletcher, Benjamin Rupert
Hollowell, Jennifer
Rivero-Arias, Oliver
AuthorAffiliation 3 BirthChoiceUK, London, United Kingdom
University of Brighton, UNITED KINGDOM
1 Policy Research Unit in Maternal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
2 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
AuthorAffiliation_xml – name: University of Brighton, UNITED KINGDOM
– name: 3 BirthChoiceUK, London, United Kingdom
– name: 1 Policy Research Unit in Maternal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
– name: 2 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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  givenname: Benjamin Rupert
  orcidid: 0000-0003-3633-7716
  surname: Fletcher
  fullname: Fletcher, Benjamin Rupert
  organization: Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
– sequence: 2
  givenname: Rachel
  orcidid: 0000-0003-2994-3240
  surname: Rowe
  fullname: Rowe, Rachel
  organization: Policy Research Unit in Maternal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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  givenname: Jennifer
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  organization: Policy Research Unit in Maternal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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  surname: Scanlon
  fullname: Scanlon, Miranda
  organization: BirthChoiceUK, London, United Kingdom
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  givenname: Lisa
  surname: Hinton
  fullname: Hinton, Lisa
  organization: Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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  givenname: Oliver
  surname: Rivero-Arias
  fullname: Rivero-Arias, Oliver
  organization: Policy Research Unit in Maternal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30973919$$D View this record in MEDLINE/PubMed
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2019 Fletcher et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2019 Fletcher et al 2019 Fletcher et al
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– notice: 2019 Fletcher et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Competing Interests: Miranda Scanlon is a volunteer with BirthChoiceUK, a voluntary non-commercial organisation, which has in the past provided information to help women chose where to have their baby. Miranda has also been a consultant to the consumer association ‘Which?’ in the development of their Which? Birth Choice website. She did not receive any payment from BirthChoiceUK or Which? to participate in this study. All other authors declare no conflicts of interest.
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Snippet To explore pregnant women's preferences for birth setting in England. Labelled discrete choice experiment (DCE). Online survey. Pregnant women recruited...
Objective To explore pregnant women's preferences for birth setting in England. Design Labelled discrete choice experiment (DCE). Setting Online survey. Sample...
To explore pregnant women's preferences for birth setting in England. Labelled discrete choice experiment (DCE). Online survey. Pregnant women recruited...
Objective To explore pregnant women’s preferences for birth setting in England. Design Labelled discrete choice experiment (DCE). Setting Online survey. Sample...
To explore pregnant women's preferences for birth setting in England.OBJECTIVETo explore pregnant women's preferences for birth setting in England.Labelled...
ObjectiveTo explore pregnant women's preferences for birth setting in England.DesignLabelled discrete choice experiment (DCE).SettingOnline...
Objective To explore pregnant women’s preferences for birth setting in England. Design Labelled discrete choice experiment (DCE). Setting Online survey. Sample...
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SubjectTerms Adult
Analysis
Biology and Life Sciences
Birth
Birth Setting - statistics & numerical data
Childbirth & labor
Choice Behavior
Computer and Information Sciences
Decision Making
Delivery (Childbirth)
Digital media
England
Epidemiology
Experiments
Female
Health aspects
Health Knowledge, Attitudes, Practice
Health sciences
Health Services Accessibility
Heterogeneity
Home births
Humans
Internet
Logit models
Maternal & child health
Medicine and Health Sciences
Methods
Midwifery
Midwifery - organization & administration
Nursing
Obstetrics
Patient care
Patient Preference
People and places
Physicians
Population
Practice guidelines (Medicine)
Pregnancy
Pregnant women
Pregnant Women - psychology
Prenatal Care
Primary care
Research and Analysis Methods
Risk analysis
Safety
Social media
Social Sciences
Studies
Surveys and Questionnaires
Systematic review
Women
Womens health
Young Adult
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Title Exploring women's preferences for birth settings in England: A discrete choice experiment
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