Latent profiles and predictors of barriers to care in Swiss children and adolescents with rare diseases.

ABSTRACT:

Objective

Children and adolescents with rare diseases face significant barriers when accessing healthcare. We aimed to assess and predict these barriers and investigate associations with health-related quality of life (HRQoL).

Method

We conducted a cross-sectional survey of Swiss parents (N = 189) of children with rare diseases including the Barriers to Care Questionnaire (BCQ), containing six barriers and the Pediatric Quality of Life Inventory (PedsQL). Latent profile analysis (LPA) was used to uncover distinct classes, which were compared using chi-square tests and Mann-Whitney U tests. Relevant medical and sociodemographic class predictors were identified using Elastic Net regression, followed by regression analysis to investigate their role in predicting barriers to car

SUBMITTER: Wehrli S 

PROVIDER: S-EPMC11812576 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature