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Fighting to Breathe and Fighting for Health-Related Quality of Life: Measuring the Impact of Being Dependent on Technology for Breathing on the Child and Their Caregiver

Author

Listed:
  • Janine Verstraete

    (Department of Paediatrics and Child Health, Division of Medicine)

  • Christopher Booth

    (Department of Paediatrics and Child Health, Division of Medicine)

  • Jane Booth

    (Christian Barnard Memorial Hospital)

  • Shazia Peer

    (H-53 OMB, Groote Schuur Hospital, Observatory
    Red Cross War Memorial Children’s Hospital)

  • Jessica McGuire

    (H-53 OMB, Groote Schuur Hospital, Observatory
    Red Cross War Memorial Children’s Hospital)

  • Fiona Kritzinger

    (Department of Paediatrics and Child Health, Division of Medicine)

  • Taryn Gray

    (Christian Barnard Memorial Hospital)

  • Noluthando Zibi

    (Red Cross War Memorial Children’s Hospital)

  • Primrose Shabangu

    (Red Cross War Memorial Children’s Hospital)

  • Marco Zampoli

    (Department of Paediatrics and Child Health, Division of Medicine
    Red Cross War Memorial Children’s Hospital)

Abstract

Background and Objective Medical advancement has enabled children to survive congenital airway anomalies, rare diseases and critical illnesses with medical technology including tracheostomies and long-term ventilation to support breathing. This study aimed to assess (1) the validity of the EQ-TIPS and EQ-5D-Y-3L in children dependent on technology and (2) the impact of caring for these children on the EQ-5D-5L and CarerQoL. Methods Caregivers of children aged 1 month to 18 years completed the EQ-TIPS or EQ-5D-Y-3L, Pediatric Quality of Life Inventory (PedsQL) and Paediatric Tracheostomy Health Status Instrument (PTHSI) to reflect the child’s health. In addition, caregivers self-completed the EQ-5D-5L and CarerQoL. Reports of problems on EQ dimensions were compared across age groups with the Fisher’s exact test. Spearman and Pearson’s correlation coefficients and Kruskal–Wallis H-test were used to explore the association between caregiver and child scores, concurrent validity, and known-group validity of the EQ-TIPS and EQ-5D-Y-3L. Results Responses from 144 caregivers were collected, 66 for children aged 1 month to 4 years completing EQ-TIPS and 78 for children aged 5–18 years completing EQ-5D-Y-3L. The EQ-TIPS showed a higher report of no problems for social interaction for children aged 1–12 months (p = 0.040) than the older age groups, there were however no differences in the level sum score (LSS) or EQ Visual Analogue Scale scores between the age groups. The EQ-5D-Y-3L showed a significantly less report of problems for mobility (p = 0.013) and usual activities (p = 0.006) for children aged 5–7 years compared with children aged 8–12 and children aged 13–18 years. Similarly, the 5–7 years of age group had a significantly lower EQ-5D-Y-3L LSS compared with the older groups (H = 12.08, p = 0.002). The EQ-TIPS and EQ-5D-Y-3L showed moderate-to-strong associations with the PedsQL. EQ-TIPS median LSS was able to differentiate between groups on the clinical prognosis with a better health-related quality of life (HRQoL) in those where weaning from technology is possible compared with those where weaning is not possible (H = 18.98, p = 0.011). The EQ-5D-Y-3L can discriminate between breathing technology, where those with only a tracheostomy reported better HRQoL (H = 8.92, p = 0.012), and between mild and moderate clinical severity (H = 19.42, p

Suggested Citation

  • Janine Verstraete & Christopher Booth & Jane Booth & Shazia Peer & Jessica McGuire & Fiona Kritzinger & Taryn Gray & Noluthando Zibi & Primrose Shabangu & Marco Zampoli, 2024. "Fighting to Breathe and Fighting for Health-Related Quality of Life: Measuring the Impact of Being Dependent on Technology for Breathing on the Child and Their Caregiver," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 17(1), pages 65-82, January.
    • Handle: RePEc:spr:patien:v:17:y:2024:i:1:d:10.1007_s40271-023-00657-4
    DOI: 10.1007/s40271-023-00657-4
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    References listed on IDEAS

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    1. Garber, Alan M. & Phelps, Charles E., 1997. "Economic foundations of cost-effectiveness analysis," Journal of Health Economics, Elsevier, vol. 16(1), pages 1-31, February.
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