Understanding disease symptoms and impacts and producing qualitatively-derived severity stages for MPS IIIA: a mixed methods approach.


Journal

Orphanet journal of rare diseases
ISSN: 1750-1172
Titre abrégé: Orphanet J Rare Dis
Pays: England
ID NLM: 101266602

Informations de publication

Date de publication:
22 02 2022
Historique:
received: 13 09 2021
accepted: 06 02 2022
entrez: 23 2 2022
pubmed: 24 2 2022
medline: 14 4 2022
Statut: epublish

Résumé

MPS IIIA is a rare, degenerative pediatric genetic disease characterized by symptoms impacting cognition, mobility and behavior; the mean age of death is around 15 years of age. Currently, there are no approved therapies for MPS IIIA. A two-year, multi-center, prospective, descriptive cohort study was conducted to document the natural history course of MPS IIIA. In the context of this study, semi-structured interviews were performed with parents of children at study entry and one year later. Interview transcripts were analyzed using thematic analysis methods to identity concepts of interest to children and parents, identify what factors impacted parents' burden the most, and develop qualitatively-derived disease severity stages. Children were sorted into these stages according to the symptoms their parents described at the entry interview. This sorting was compared quantitatively to the sorting of children at baseline according to the child's calendar age and their BSID development quotient (DQ). 22 parents in France, Germany, the Netherlands and the UK were interviewed. Children ranged in age from 28 to 105 months (mean 61.4 months). The conceptual models for children's symptoms and impacts and parents' impacts provided a detailed and comprehensive picture of what it is like for children of various ages and their parents to live with MPS IIIA. Four factors were identified as mediating the burden perceived by parents: state support, family support, time since diagnosis, and parent coping strategy. Four disease stages were developed, accounting for both the presence and the severity of MPS IIIA symptoms. The comparison of children's sorting into these stages with the BSID DQ and the child's calendar age showed strong statistical associations. The findings of this qualitative research embedded in a natural history study add to the current understanding of MPS IIIA as a complex disease that impacts every aspect of the lives of children and their families. This study demonstrates the unique potential of mixed methods research in rare diseases to address some of the current limitations of more traditional quantitative approaches by providing an individualized, detailed understanding of the patient experience.

Sections du résumé

BACKGROUND
MPS IIIA is a rare, degenerative pediatric genetic disease characterized by symptoms impacting cognition, mobility and behavior; the mean age of death is around 15 years of age. Currently, there are no approved therapies for MPS IIIA.
METHODS
A two-year, multi-center, prospective, descriptive cohort study was conducted to document the natural history course of MPS IIIA. In the context of this study, semi-structured interviews were performed with parents of children at study entry and one year later. Interview transcripts were analyzed using thematic analysis methods to identity concepts of interest to children and parents, identify what factors impacted parents' burden the most, and develop qualitatively-derived disease severity stages. Children were sorted into these stages according to the symptoms their parents described at the entry interview. This sorting was compared quantitatively to the sorting of children at baseline according to the child's calendar age and their BSID development quotient (DQ).
RESULTS
22 parents in France, Germany, the Netherlands and the UK were interviewed. Children ranged in age from 28 to 105 months (mean 61.4 months). The conceptual models for children's symptoms and impacts and parents' impacts provided a detailed and comprehensive picture of what it is like for children of various ages and their parents to live with MPS IIIA. Four factors were identified as mediating the burden perceived by parents: state support, family support, time since diagnosis, and parent coping strategy. Four disease stages were developed, accounting for both the presence and the severity of MPS IIIA symptoms. The comparison of children's sorting into these stages with the BSID DQ and the child's calendar age showed strong statistical associations.
CONCLUSIONS
The findings of this qualitative research embedded in a natural history study add to the current understanding of MPS IIIA as a complex disease that impacts every aspect of the lives of children and their families. This study demonstrates the unique potential of mixed methods research in rare diseases to address some of the current limitations of more traditional quantitative approaches by providing an individualized, detailed understanding of the patient experience.

Identifiants

pubmed: 35193633
doi: 10.1186/s13023-022-02208-w
pii: 10.1186/s13023-022-02208-w
pmc: PMC8864874
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

75

Informations de copyright

© 2022. The Author(s).

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Auteurs

Sally Lanar (S)

Icon Plc, Lyon, France. sally.lanar@iconplc.com.

Samantha Parker (S)

Lysogene, Neuilly-sur-Seine, France.

Cara O'Neill (C)

Cure Sanfilippo Foundation, Columbia, SC, USA.

Alexia Marrel (A)

Icon Plc, Lyon, France.

Benoit Arnould (B)

Icon Plc, Lyon, France.

Bénédicte Héron (B)

Pediatric Neurology Department, Center for Lysosomal Diseases, CHU Trousseau, APHP, Paris, France.

Nicole Muschol (N)

Department of Pediatrics, International Center for Lysosomal Disorders (ICLD), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Frits A Wijburg (FA)

Amsterdam UMC, Pediatric Metabolic Diseases, Emma Children's Hospital and Amsterdam Lysosome Center "Sphinx'', University of Amsterdam, Amsterdam, The Netherlands.

Anupam Chakrapani (A)

Great Ormond Street Hospital, London, UK.

Sophie Olivier (S)

Lysogene, Neuilly-sur-Seine, France.

Karen Aiach (K)

Lysogene, Neuilly-sur-Seine, France.

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Classifications MeSH