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Preferences for Neurodevelopmental Follow-Up Care for Children: A Discrete Choice Experiment
Pakhi Sharma1, Sanjeewa Kularatna2,3, Bridget Abell2
1Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Brisbane, QLD, 4059, Australia. p33.sharma@hdr.qut.edu.au.
Insights
Understanding family preferences for neurodevelopmental follow-up care is key. Tailoring services to family needs, such as location and cost, can improve children's long-term outcomes.
Area of Science:
- Pediatric Healthcare
- Developmental Pediatrics
- Health Services Research
Background:
- Addressing neurodevelopmental delays in children presents challenges for families and healthcare systems.
- Delays in accessing early intervention services are common.
- Aligning service provision with family needs and preferences can improve care delivery and outcomes.
Purpose of the Study:
- To identify family preferences for neurodevelopmental follow-up care for children.
- To inform the design and delivery of improved neurodevelopmental services.
Main Methods:
- A discrete choice experiment (DCE) was used to elicit preferences from families of children with neurodevelopmental needs.
- Attributes included location, mode of follow-up, cost, parental mental health support, educational information, appointment management, and waiting time.
- Data from 301 online survey responses were analyzed using a latent class model.
Main Results:
- Two distinct family preference classes were identified.
- Class 1 prioritized local clinics, face-to-face care, moderate costs, mental health support, and shorter wait times.
- Class 2 prioritized cost (AUD100 or less) and location, with location being most important for Class 1 and cost for Class 2.
Conclusions:
- Findings provide insights for health services and policymakers to improve neurodevelopmental follow-up care.
- Prioritizing identified family preferences can enhance care organization and functioning.
- Improved service design has the potential to positively impact long-term outcomes for children with neurodevelopmental needs.
Introduction:
Identifying and addressing neurodevelopmental delays in children can be challenging for families and the healthcare system. Delays in accessing services and early interventions are common. The design and delivery of these services, and associated outcomes for children, may be improved if service provision aligns with families' needs and preferences for receiving care. The aim of this study is to identify families' preferences for neurodevelopmental follow-up care for children using an established methodology.
Methods:
We used a discrete choice experiment (DCE) to elicit families' preferences. We collected data from families and caregivers of children with neurodevelopmental needs. The DCE process included four stages. In stage 1, we identified attributes and levels to be included in the DCE using literature review, interviews, and expert advice. The finalised attributes were location, mode of follow-up, out-of-pocket cost per visit, mental health counselling for parents, receiving educational information, managing appointments, and waiting time. In stage 2, we generated choice tasks that contained two alternatives and a 'neither' option for respondents to choose from, using a Bayesian d-efficient design. These choice tasks were compiled in a survey that also included demographic questions. We conducted pre- and pilot tests to ensure the functionality of the survey and obtain priors. In stage 3, the DCE survey was administered online. We received 301 responses. In stage 4, the analysis was conducted using a latent class model. Additionally, we estimated the relative importance of attributes and performed a scenario analysis.
Results:
Two latent classes were observed. More families with full-time employees, higher incomes, postgraduate degrees, and those living in metropolitan areas were in class 1 compared with class 2. Class 1 families preferred accessing local public health clinics, face-to-face follow-up, paying AUD100 to AUD500, mental health support, group educational activities, health service-initiated appointments, and waiting < 3 months. Class 2 families disliked city hospitals when compared with private, preferred paying AUD100 or no cost, and had similar preferences regarding mental health support and wait times as class 1. However, no significant differences were noted in follow-up modality, receiving educational information, and appointment management. The relative importance estimation suggested that location was most important for class 1 (28%), whereas for class 2, cost accounted for nearly half of the importance when selecting an alternative. The expected uptake of follow-up care, estimated under three different hypothetical scenarios, may increase by approximately 24% for class 2 if an 'ideal' scenario taking into account preferences was implemented.
Conclusion:
This study offers insights into aspects that may be prioritised by health services and policymakers to improve the design and delivery of neurodevelopmental follow-up care for children. The findings may enhance the organisation and functioning of existing care programmes; and therefore, improve the long-term outcomes of children with neurodevelopmental needs and their families.

