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Technology-dependent children in the community: definitions, numbers and costs
C Glendinning1, S Kirk, A Guiffrida
1National Primary Care Research and Development Centre, University of Manchester, Manchester, UK.
Insights
An estimated 6,000 technology-dependent children live at home in the UK, with annual care costs potentially reaching £150,000 per child. This highlights the need for better data collection and service planning.
Area of Science:
- Pediatric healthcare services
- Health economics
- Child welfare technology
Background:
- Limited data exists on the prevalence and costs associated with technology-dependent children residing at home in the UK.
- Technology-dependent children require significant medical support and resources, impacting family and healthcare systems.
Observation:
- Secondary data sources, including specialist pediatric department surveys and the Family Fund Trust database, were utilized.
- Analysis of hypothetical case studies estimated annual care costs for these children, varying by technology and service provision.
Findings:
- An estimated 6,000 technology-dependent children live at home in the UK, disproportionately affecting younger age groups and showing uneven regional distribution.
- Annual care costs can be substantial, potentially reaching up to £150,000 per child, depending on technological needs and local service availability.
Implications:
- Urgent need for routine data collection on discharged technology-dependent children, including duration of dependence and discharge location.
- Improved joint service planning and purchasing are essential to enhance care coordination for this vulnerable population.
- Accurate data is crucial for effective resource allocation and policy development in pediatric home healthcare.
Objectives:
To assess available data on the numbers of technology-dependent children living at home in the UK and estimate the costs of caring for them.
Design:
Data were obtained from all known secondary sources, including surveys of children with specific conditions known to specialist paediatric departments and the database of applicants to the Family Fund Trust. The costs of all services received by three hypothetical exemplar 'case study' children were calculated.
Results:
All existing sources of data have some shortcomings. Taking these shortcomings into account, it is estimated that there may be up to 6000 technology-dependent children living at home. They appear to be disproportionately young and may be distributed unevenly between different regions of the UK. The total service costs of caring for each child will vary according to the types of technologies involved and local patterns of services, but may be as high as 150,000 pounds sterling a year.
Conclusions:
Because of the very high costs of services, routine information on the numbers of technology-dependent children discharged home is urgently needed. This should include details of the duration of technology dependence and the local area to which the child is discharged. New opportunities for joint service planning and purchasing should improve the co-ordination of services for these children.
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