Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol
Introduction Wide variation in the management of key paediatric surgical conditions in the UK has likely resulted in outcomes for some children being worse than they could be. Consequently, it is important to reduce unwarranted variation. However, major barriers to this are the inability to detect d...
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BMJ Publishing Group
2022-06-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/6/e062833.full |
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| author | Nigel Hall Marian Knight Nick Lansdale Lisa Hinton Charles Opondo Simon Kenny Stefano Giuliani John Buckell Oliver Rivero-Arias Kokila Lakhoo Alexander Macdonald Crispin Jenkinson Benjamin Allin Rema Ramakrishnan Gregor Walker Timothy Bradnock Karolina Kuberska Benjamin M Craig Goher Ayman Anna May Long Joanne Shepherd |
| author_facet | Nigel Hall Marian Knight Nick Lansdale Lisa Hinton Charles Opondo Simon Kenny Stefano Giuliani John Buckell Oliver Rivero-Arias Kokila Lakhoo Alexander Macdonald Crispin Jenkinson Benjamin Allin Rema Ramakrishnan Gregor Walker Timothy Bradnock Karolina Kuberska Benjamin M Craig Goher Ayman Anna May Long Joanne Shepherd |
| collection | DOAJ |
| description | Introduction Wide variation in the management of key paediatric surgical conditions in the UK has likely resulted in outcomes for some children being worse than they could be. Consequently, it is important to reduce unwarranted variation. However, major barriers to this are the inability to detect differences between observed and expected hospital outcomes based on the casemix of the children they have treated, and the inability to detect variation in significant outcomes between hospitals. A stated-preference study has been designed to estimate the value key stakeholders place on different elements of the outcomes for a child with a surgical condition. This study proposes to develop a summary metric to determine what represents successful treatment of children with surgical conditions.Methods and analysis Preferences from parents, individuals treated for surgical conditions as infants/children, healthcare professionals and members of the public will be elicited using paired comparisons and kaizen tasks. A descriptive framework consisting of seven attributes representing types of operations, infections treated in hospital, quality of life and survival was identified. An experimental design has been completed using a D-efficient design with overlap in three attributes and excluding implausible combinations. All participants will be presented with an additional choice task including a palliative scenario that will be used as an anchor. The survey will be administered online. Primary analysis will estimate a mixed multinomial logit model. A traffic light system to determine what combination of attributes and levels represent successful treatment will be created.Ethics and dissemination Ethics approval to conduct this study has been obtained from the Medical Sciences Inter-Divisional Research Ethics Committee (IDREC) at the University of Oxford (R59631/RE001-05). We will disseminate all of our results in peer-review publications and scientific presentations. Findings will be additionally disseminated through relevant charities and support groups and professional organisations. |
| format | Article |
| id | doaj-art-fe630a1775744894be7142d830cd55fd |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-fe630a1775744894be7142d830cd55fd2025-01-28T03:55:09ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2022-062833Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol 0Nigel HallMarian Knight1Nick Lansdale2Lisa Hinton3Charles Opondo4Simon Kenny5Stefano GiulianiJohn Buckell6Oliver Rivero-Arias7Kokila Lakhoo8Alexander Macdonald9Crispin Jenkinson10Benjamin Allin11Rema Ramakrishnan12Gregor Walker13Timothy BradnockKarolina Kuberska14Benjamin M Craig15Goher Ayman16Anna May LongJoanne ShepherdUK Heat Illness Advisory Group, London, UKNational Perinatal Epidemiology Unit, University of Oxford, Oxford, UK6 Department of Paediatric and Neonatal Surgery, Royal Manchester Children`s Hospital Department of Paediatric and Neonatal Surgery, Manchester, UKNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK9 Nuffield Department of Population Health, University of Oxford, Oxford, UKPaediatric Surgery, Alder Hey Children`s NHS Foundation Trust, Liverpool, UKNuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UKNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UKGlobal Bioethics Collaborative, Los Angeles, California, USAPaediatric Surgery, Evelina London Children`s Healthcare, London, UKNuffield Department of Population Health, University of Oxford, Oxford, UKChelsea and Westminster Hospital, London, UKNational Perinatal Epidemiology Unit, University of Oxford, Oxford, UKPaediatric Surgery, Royal Hospital for Children, Glasgow, UKTHIS Institute (The Healthcare Improvement Studies Institute), Department of Public Health and Primary Care, University of Cambridge, Cambridge, UKDepartment of Economics, University of South Florida, Tampa, Florida, USANational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UKIntroduction Wide variation in the management of key paediatric surgical conditions in the UK has likely resulted in outcomes for some children being worse than they could be. Consequently, it is important to reduce unwarranted variation. However, major barriers to this are the inability to detect differences between observed and expected hospital outcomes based on the casemix of the children they have treated, and the inability to detect variation in significant outcomes between hospitals. A stated-preference study has been designed to estimate the value key stakeholders place on different elements of the outcomes for a child with a surgical condition. This study proposes to develop a summary metric to determine what represents successful treatment of children with surgical conditions.Methods and analysis Preferences from parents, individuals treated for surgical conditions as infants/children, healthcare professionals and members of the public will be elicited using paired comparisons and kaizen tasks. A descriptive framework consisting of seven attributes representing types of operations, infections treated in hospital, quality of life and survival was identified. An experimental design has been completed using a D-efficient design with overlap in three attributes and excluding implausible combinations. All participants will be presented with an additional choice task including a palliative scenario that will be used as an anchor. The survey will be administered online. Primary analysis will estimate a mixed multinomial logit model. A traffic light system to determine what combination of attributes and levels represent successful treatment will be created.Ethics and dissemination Ethics approval to conduct this study has been obtained from the Medical Sciences Inter-Divisional Research Ethics Committee (IDREC) at the University of Oxford (R59631/RE001-05). We will disseminate all of our results in peer-review publications and scientific presentations. Findings will be additionally disseminated through relevant charities and support groups and professional organisations.https://bmjopen.bmj.com/content/12/6/e062833.full |
| spellingShingle | Nigel Hall Marian Knight Nick Lansdale Lisa Hinton Charles Opondo Simon Kenny Stefano Giuliani John Buckell Oliver Rivero-Arias Kokila Lakhoo Alexander Macdonald Crispin Jenkinson Benjamin Allin Rema Ramakrishnan Gregor Walker Timothy Bradnock Karolina Kuberska Benjamin M Craig Goher Ayman Anna May Long Joanne Shepherd Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol BMJ Open |
| title | Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol |
| title_full | Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol |
| title_fullStr | Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol |
| title_full_unstemmed | Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol |
| title_short | Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition: a study protocol |
| title_sort | using stated preferences methods to develop a summary metric to determine successful treatment of children with a surgical condition a study protocol |
| url | https://bmjopen.bmj.com/content/12/6/e062833.full |
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