End-of-Life Healthcare Service Needs Among Children With Neurological Conditions: A Latent Class Analysis.
End-of-Life Healthcare Service Needs Among Children With Neurological Conditions: A Latent Class Analysis.
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DOI:
10.1097/jnn.0000000000000615
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发表时间:
2021-12-01
期刊:
影响因子:
--
通讯作者:
Fortney CA
中科院分区:
文献类型:
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作者:
Lindley LC;Svynarenko R;Mooney-Doyle K;Mendola A;Naumann WC;Fortney CA
At the end of life, children with neurological conditions have complex health care needs that can be met by providing care of their life-limiting conditions concurrently with hospice care (i.e. concurrent care). Given the limited literature on concurrent care for children with neurologic conditions, this investigation aimed to identify patterns of non-hospice, health care service needs and to assess characteristics of children within each group. A nationally representative sample children with neurological conditions enrolled in concurrent hospice care was used. Latent class analysis (LCA) and descriptive statistics were calculated to identify patterns of health care needs and characteristics of children within the groups. A subgroup analysis of infants was conducted. Among the 1,601 children, the most common types of services were inpatient hospitals, durable medical equipment, and home health. Two classes of service needs were identified: moderate-intensity (58%) and high-intensity (42%). Children in the moderate-intensity group were predominantly between 1 to 5-years of age, male, Caucasian, and non-Hispanic. The most common neurological condition was CNS degeneration. They also had significant comorbidities, mental/behavioral health conditions, and technology dependence. They commonly resided in urban areas in the South. Children in the high-intensity group had a wide range of neurological conditions and high acuity. The subgroup analysis of infants indicated a different neurological profile. Two distinct classes of non-hospice, health care services needs emerged among children with neurological conditions at end of life. The groups had unique demographic profiles.