Health-related quality of life in neonates and infants: a conceptual framework

EuroQol Toddler and Infant Populations (EQ-TIPS): Age-Related Differences in Performance

OBJECTIVES

The EQ-TIPS was developed to measure the Health-Related Quality of Life in infants/toddlers. Considering the rapid development in this period, this study aimed to investigate age-related variations in EQ-TIPS performance.

METHODS

Data from 551 infants/toddlers living with a health condition were analysed. Infants/toddlers were grouped by age: 0-6 months (n = 100), 6-12 months (n = 95), 12-24 months (n = 147), and 36-48 months (n = 97). Differences in item responses and item correlations across age groups were calculated by Kruskal-Wallis and Spearman's correlations, respectively.

RESULTS

The report of problems was significantly higher for movement, play, and communication in the 36-48-month group compared to the 0-6-month group. There were strong correlations (r > 0.50) across all age groups between play and movement and communication and social interaction/play; neither pain nor eating showed a clear pattern of association.

CONCLUSIONS

There is an age-related difference in the reporting of items linked to developmental milestones (movement, play, and communication) with most problems reported in the 36-48-month group when deviation from peers and continued dependence on caregivers is notable. Consideration should be given to including broader examples of play in the EQ-TIPS. Redefining the items to represent social communication and/or (social) emotion, rather than communication and social interaction, may be warranted. Future research should explore the psychometric performance of items to further inform item inclusion and/or revision.

Psychometric Performance Comparison of the Adapted versus Original Versions of the EQ-5D-Y-3L and -Y-5L in Proxy Respondents for 2- to 4-Year-Olds

INTRODUCTION

Few preference-weighted instruments are available to measure health-related quality of life in young children (2-4 years of age). The EQ-5D-Y-3L and EQ-5D-Y-5L were recently modified for this purpose.

OBJECTIVE

The aim of this study was to test the psychometric properties of these adapted versions for use with parent proxies of children aged 2-4 years and to compare their performance with the original versions. It was hypothesised that the adapted instrument wording would result in improved psychometric performance.

METHODS

Survey data of children aged 2-4 years were obtained from the Australian Paediatric Multi-Instrument Comparison study. Distributional and psychometric properties tested included feasibility, convergence, distribution of level scores, ceiling effects, known-group validity (Cohen's D effect sizes for prespecified groups defined by the presence/absence of special healthcare needs [SHCNs]), test-retest reliability (intraclass correlation coefficients [ICCs]), and responsiveness (standardised response mean [SRM] effect sizes for changes in health). Level sum scores were used to provide summary outcomes. Supplementary analysis using utility scores (from the Swedish EQ-5D-Y-3L value set) were conducted for the adapted and original EQ-5D-Y-3L, and no value sets were available for the EQ-5D-Y-5L.

RESULTS

A total of 842 parents of children aged 2-4 years completed the survey. All instruments were easy to complete. There was strong convergence between the adapted and original EQ-5D-Y-3L and EQ-5D-Y-5L. The adapted EQ-5D-Y-3L and adapted EQ-5D-Y-5L showed more responses in the severe levels of the five EQ-5D-Y dimensions, particularly in the usual activity and mobility dimensions (EQ-5D-Y-5L: mobility level 1: adapted n = 478 [83%], original n = 253 [94%]; mobility level 4/5: adapted n = 17 [2.9%], original n = 4 [1.5%)]). The difference in the distribution of responses was more evident in children with SHCNs. Assessment of known-group validity showed a greater effect size for the adapted EQ-5D-Y-3L and adapted EQ-5D-Y-5L compared with the original instruments (EQ-5D-Y-5L: adapted Cohen's D = 1.01, original Cohen's D = 0.83) between children with and without SHCNs. The adapted EQ-5D-Y-3L and adapted EQ-5D-Y-5L showed improved reliability at 4-week follow-up, with improved ICCs (EQ-5D-Y-5L: adapted ICC = 0.83, original ICC = 0.44). The responsiveness of all instruments moved in the hypothesised direction for better or worse health at follow-up. Probability of superiority analysis showed little/no differences between the adapted and original EQ-5D-Y-3L and EQ-5D-Y-5L. Supplementary psychometric analysis of the adapted and original EQ-5D-Y-3L using utilities showed comparable findings with analyses using level sum scores.

CONCLUSIONS

The findings suggest improved psychometric performance of the adapted version of the EQ-5D-Y-3L and EQ-5D-Y-5L in children aged 2-4 years compared with the original versions.

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

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 < 0.001). Neither the PedsQL nor the PTHSI was able to discriminate between these groups across the age range. Caregiver and child HRQoL scores showed moderate-to-strong associations.

CONCLUSIONS

The EQ-TIPS and EQ-5D-Y-3L showed good validity in children dependent on the technology for breathing. The EQ-TIPS and EQ-5D-Y-3L LSS were all able to differentiate between children with known clinical variables and outperformed both the PedsQL and PTHSI, making them preferable for intervention research. The caregiver scores are associated with the child HRQoL scores and thus a spill-over should be accounted for in any interventions targeting this cohort. It is recommended that future studies investigate the reliability and responsiveness of these measures in children dependent on technology for breathing.

A Qualitative Investigation to Develop an Adapted Version of the EQ-5D-Y-3L for Use in Children Aged 2-4 Years

OBJECTIVES

Few preference-weighted health-related quality-of-life measures exist for children under 5 years of age. Young children are substantial consumers of healthcare services. This project aims to assess EQ-5D-Y-3L's appropriateness in children aged 2 to 4 years and to coproduce with parents a suitable adaptation.

METHODS

Purposive sampling at the Murdoch Children's Research Institute and Royal Children's Hospital was used to recruit parents or carers of children aged 2 to 4 years in Australia. Online focus groups were conducted consisting of 13 parents of healthy children, and 6 parents of children with moderate to severe health conditions. Parents provided feedback on each dimension of the proxy EQ-5D-Y-3L. Recordings were transcribed and thematic analysis was conducted. Qualitative findings guided the design of adaptations to the instrument. The adaptations were piloted to obtain feedback and refined to improve language translatability and comparability with other EuroQol instruments.

RESULTS

The adapted EQ-5D-Y-3L was considered generally acceptable by the parents. Parents provided a wide range of examples of how each domain related to their children, with varied examples provided across ages 2 to 4 years and health status. Additional or alternative wording was suggested by parents to improve the applicability of the instrument to this age group. One example of this was the change of the domain wording "walking about" to "movement"-ID5:"In this age group, movement is more important than walking."

CONCLUSIONS

The adapted EQ-5D-Y-3L has improved relevance for 2-4-year olds and appears easy to complete. Further testing of the adapted instrument is required to evaluate acceptability, reliability, and validity.

A comparison of the Child Health Utility 9D and the Health Utilities Index for estimating health utilities in pediatric inflammatory bowel disease

PURPOSE

Health utilities are challenging to ascertain in children and have not been studied in pediatric Crohn's disease (CD) and ulcerative colitis (UC). The objective was to assess discriminative validity by comparing utilities elicited using the Child Health Utility-9 Dimension (CHU9D) to the Health Utilities Index (HUI) across multiple disease activity scales in pediatric UC and CD.

METHODS

Preference-based instruments were administered to 188 children with CD and 83 children with UC aged 6 to 18 years. Utilities were calculated using CHU9D adult and youth tariffs, and HUI2 and HUI3 algorithms in children with inactive (quiescent) and active (mild, moderate, and severe) disease. Differences between instruments, tariff sets and disease activity categories and were tested statistically.

RESULTS

In CD and UC, all instruments detected significantly higher utilities for inactive compared to active disease (p < 0.05). Mean utilities for quiescent disease ranged from 0.810 (SD 0.169) to 0.916 (SD 0.121) in CD and from 0.766 (SD 0.208) to 0.871 (SD 0.186) in UC across instruments. Active disease mean utilities ranged from 0.694 (SD 0.212) to 0.837 (SD 0.168) in CD and from 0.654 (SD 0.226) to 0.800 (SD 0.128) in UC.

CONCLUSION

CHU9D and HUI discriminated between levels of disease activity in CD and UC regardless of the clinical scale used, with the CHU9D youth tariff most often displaying the lowest utilities for worse health states. Distinct utilities for different IBD disease activity states can be used in health state transition models evaluating the cost-effectiveness of treatments for pediatric CD and UC.

Mediating effect of post-stroke depression between activities of daily living and health-related quality of life: meta-analytic structural equation modeling

BACKGROUND

Stroke survivors face various problems that affect their health-related quality of life (HRQoL). Reduced activities of daily living (ADL) may contribute to post-stroke depression (PSD) and low HRQoL, and depression might be associated with low HRQoL. However, these relationships are not well known. This study aimed to analyze correlations among ADL, PSD, and HRQoL in stroke survivors and further explore the mediating role of PSD between ADL and HRQoL.

METHODS

This study utilized meta-analytic structural equation modeling (MASEM) on systematically searched articles from six electronic databases, namely PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure (China), Wanfang database (China), and SinoMed (China), from inception up to July 31, 2021. Two researchers independently assessed study eligibility, and data from the eligible studies were encoded and assessed for quality. MASEM was utilized to examine correlations among ADL, PSD, and HRQoL, with an estimation of a pooled correlation matrix under a random-effects model. The matrix was directly fitted to a structural equation model using webMASEM.

RESULTS

In total, 8580 articles were screened, and data from 27 studies involving 33 effect sizes were used in the MASEM analysis. Correlations among the three variables were significant (both P < 0.01). Furthermore, PSD partially mediated the correlation between ADL and HRQoL (β = 0.24, 95% confidence interval 0.15-0.30).

CONCLUSIONS

The findings suggest that both decreased ADL and PSD may reduce HRQoL, while a decrease in ADL tends to cause depression after stroke. Therefore, ADL and PSD reductions should be improved to achieve better HRQoL of stroke survivors. Future studies should continue to discuss other factors affecting HRQoL to achieve optimal recovery in stroke survivors.

Ethical considerations in the management of infants with severe intraventricular hemorrhage

Intrinsic and extrinsic factors unique to neonatal care can complicate predictions of neurological outcomes for infants who suffer from severe intraventricular hemorrhage. While care decisions are driven by the same bioethical principles used in other domains, neurological prognostication can challenge concepts of futility, require careful examination of parental values, uncover biases and/or potentially compromise the best interests of the future child. In the following chapter we will review bioethical principles and relevant concepts, explore challenges to decision-making surrounding diagnoses of severe intraventricular hemorrhage and conclude with a brief review of practical approaches for counseling parents about neurodevelopmental impairment given the constraints of prognostic uncertainty and assumptions related to quality of life. We will argue that neurological findings alone, even in the setting of severe intraventricular hemorrhage, often do not constitute enough evidence for redirection of care but can be permissible when the entire neonatal condition is considered.

The Challenges of Measuring and Valuing Quality of Life in Preschool Children: A Retrospective Review of NICE Appraisals

Health technology assessment agencies evaluate interventions across the lifespan. However, there is no consensus about best-practice methods to measure health-related quality of life (HRQoL) in preschool children (<5 years) and data are often scarce. We reviewed methods used to capture the HRQoL of preschool children in past National Institute for Health and Care Excellence (NICE) appraisals to establish whether there is a need for better methods in this area and if so, to identify priority research areas. We identified past NICE appraisals that included preschool children, examining the methods used to generate utility values and whether committees believed these captured HRQoL adequately. Of the 12 appraisals, most used generic HRQoL measures designed for adults. Measures were usually completed by adult patients or clinical experts. Committees frequently commented on limitations in the HRQoL data. While acknowledging that data collection may be challenging, committees would value evidence based on HRQoL data from parents or guardians collected as part of a clinical trial. We identified several research priorities including the psychometric properties of existing measures; the feasibility and validity of valuation studies; and mapping. Progress in these areas will help ensure that the aspects of HRQoL which matter to children and their families are captured in NICE evaluations.