Psychosocial assessment of families caring for a child with acute lymphoblastic leukemia, epilepsy or asthma: Psychosocial risk as network of interacting symptoms.
Asthma
/ psychology
Caregivers
/ psychology
Child
Child, Preschool
Empathy
/ physiology
Epilepsy
/ psychology
Family
/ psychology
Female
Humans
Longitudinal Studies
Male
Parents
/ psychology
Precursor Cell Lymphoblastic Leukemia-Lymphoma
/ psychology
Prospective Studies
Psychological Tests
Psychometrics
/ methods
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2020
2020
Historique:
received:
26
07
2019
accepted:
24
02
2020
entrez:
24
3
2020
pubmed:
24
3
2020
medline:
23
6
2020
Statut:
epublish
Résumé
The purpose of this study is to assess psychosocial risk across several pediatric medical conditions and test the hypothesis that different severe or chronic pediatric illnesses are characterized by disease specific enhanced psychosocial risk and that risk is driven by disease specific connectivity and interdependencies among various domains of psychosocial function using the Psychosocial Assessment Tool (PAT). In a multicenter prospective cohort study of 195 patients, aged 5-12, 90 diagnosed with acute lymphoblastic leukemia (ALL), 42 with epilepsy and 63 with asthma, parents completed the PAT2.0 or the PAT2.0 generic version. Multivariate analysis was performed with disease as factor and age as covariate. Graph theory and network analysis was employed to study the connectivity and interdependencies among subscales of the PAT while data-driven cluster analysis was used to test whether common patterns of risk exist among the various diseases. Using a network modelling approach analysis, we observed unique patterns of interconnected domains of psychosocial factors. Each pathology was characterized by different interdependencies among the most central and most connected domains. Furthermore, data-driven cluster analysis resulted in two clusters: patients with ALL (89%) mostly belonged to cluster 1, while patients with epilepsy and asthma belonged primarily to cluster 2 (83% and 82% respectively). In sum, implementing a network approach improves our comprehension concerning the character of the problems central to the development of psychosocial difficulties. Therapy directed at problems related to the most central domain(s) constitutes the more rational one because such an approach will inevitably carry over to other domains that depend on the more central function.
Identifiants
pubmed: 32203535
doi: 10.1371/journal.pone.0230194
pii: PONE-D-19-21101
pmc: PMC7089558
doi:
Types de publication
Journal Article
Multicenter Study
Observational Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0230194Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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