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Using stated-preferences methods to develop a summary metric to determine successful treatment of children with a
Oliver Rivero-Arias1, John Buckell2, Benjamin Allin3,4
1National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK oliver.rivero@npeu.ox.ac.uk.
Insights
This study aims to develop a new metric to assess successful pediatric surgical care by valuing different treatment outcomes. This will help reduce variation in care and improve outcomes for children undergoing surgery.
Area of Science:
- Pediatric surgery
- Health services research
- Outcome measurement
Background:
- Significant variation exists in managing pediatric surgical conditions across the UK.
- This variation may lead to suboptimal outcomes for some children.
- Detecting and addressing this variation is hindered by difficulties in comparing hospital outcomes adjusted for patient complexity (casemix).
Purpose of the Study:
- To develop a novel summary metric for evaluating successful treatment of pediatric surgical conditions.
- To estimate the value stakeholders place on different aspects of treatment outcomes for children undergoing surgery.
- To reduce unwarranted variation in pediatric surgical care.
Main Methods:
- A stated-preference study involving parents, former child patients, healthcare professionals, and the public.
- Utilizing paired comparisons and kaizen tasks to elicit preferences on seven attributes (operations, infections, quality of life, survival).
- Employing a D-efficient experimental design with an online survey, analyzed using a mixed multinomial logit model and a traffic light system.
Main Results:
- Analysis will estimate a mixed multinomial logit model to understand stakeholder preferences.
- A traffic light system will be developed to define successful treatment based on attribute combinations.
- The study will provide a quantitative method to assess treatment success.
Conclusions:
- The developed metric will enable better detection of variation in pediatric surgical care quality.
- This tool can guide efforts to reduce unwarranted variation and improve patient outcomes.
- The findings will contribute to standardizing and enhancing the quality of pediatric surgical services.
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.
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