Background: The number of children with medical complexity (CMC) is increasing worldwide. For these children and their families, various forms of support are legislated; among them, short-stay respite care has a great unmet need. We examined such children's parents' preferences for respite care and their willingness to pay.
Methods: We used discrete choice experiments (DCEs) to estimate the parents' preferences and willingness to pay. Parents whose children used overnight short-stay respite services answered a questionnaire to compare two hypothetical facilities of respite care having seven attributes and three levels. The DCE data was analyzed using the conditional logit model. The willingness to pay was calculated based on DCE estimates.
Results: A total of 70 parents participated in this study and mean age of their children was 7.8 years (standard deviation [SD] 4.3). Among those children, 67 (96%) had the severest certification of disability, and 27 (38%) used a ventilator at home. We found that the parents' highest preferences was the best level of medical care level that can manage ventilators (coefficient 1.61, 95% confidence interval [CI]: 1.32-1.90). The better and best level of medical care, daily care, education/nursing, and emergency care were preferred over basic quality services. Willingness to pay for the best level of medical care was approximately 75,367 JPY per night.
Conclusion: This study shows a need for respite care that can deliver high-level medical care, especially for the management of ventilators, to CMC. This finding can serve as a basis for promoting respite care services.
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http://dx.doi.org/10.1111/ped.15703 | DOI Listing |
Medicina (Kaunas)
January 2025
Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.
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School of Public Health, Nantong University, 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
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Hong Chi Winifred Mary Cheung Morninghope School, 220 Lai King Hill Road, Kwai Chung, Hong Kong, China.
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Human Development and Family Science, Virginia Tech, Blacksburg, VA, United States.
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