Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients

Shafie, Asrul Akmal; Chhabra, Irwinder Kaur; Wong, Jacqueline Hui Yi; Mohammed, Noor Syahireen

doi:10.1007/s10198-021-01287-z

Cited by 10 publications

(9 citation statements)

References 25 publications

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“…In the existing mapping research of Peds QL 4.0, the Peds QL 4.0 total score, the Peds QL 4.0 dimension scores, and the Peds QL 4.0 item scores were often used as independent variables ( 19 – 21 , 24 ), as well as some demographic indicators such as age and gender. We screened the independent variables according to the correlation between the variables (see Appendix 1 ).…”

Section: Discussionmentioning

confidence: 99%

“…Similar to several other studies, almost all the estimators overestimated the lower bound of the CHU-9D utility score and overpredicted the upper bound of 1 ( 21 , 22 ). Although overprediction is a difficult problem, some studies have shown that it can be dealt with by truncating or setting the value of the dependent variable between 0 and 1 to the boundary value, such as Tobit model and Beta model ( 24 , 53 , 54 ). Overall, the predictive performance of the Beta model and Tobit model was consistent with the MAE range (0.0408–0.1270) and RMSE range (0.0594–0.1619) observed in the CHU-9D mapping study ( 19 – 23 ).…”

Section: Discussionmentioning

confidence: 99%

“…ISPOR has issued relevant guidance to guide researchers to use this method ( 17 , 18 ). A large number of studies have shown that the mapping algorithm between Peds QL 4.0 and preference-based scale can be developed to obtain the HUV ( 19 – 24 ). However, no such study has been conducted for developing a mapping algorithm between Peds QL 4.0 and CHU-9D in Chinese FD children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

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Mapping the Peds QLTM 4.0 onto CHU-9D: a cross-sectional study in functional dyspepsia population from China

Wang

Wan

et al. 2023

Front. Public Health

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ObjectiveThe study aims to develop a mapping algorithm from the Pediatric Quality of Life Inventory™ 4. 0 (Peds QL 4.0) onto Child Health Utility 9D (CHU-9D) based on the cross-sectional data of functional dyspepsia (FD) children and adolescents in China.MethodsA sample of 2,152 patients with FD completed both the CHU-9D and Peds QL 4.0 instruments. A total of six regression models were used to develop the mapping algorithm, including ordinary least squares regression (OLS), the generalized linear regression model (GLM), MM-estimator model (MM), Tobit regression (Tobit) and Beta regression (Beta) for direct mapping, and multinomial logistic regression (MLOGIT) for response mapping. Peds QL 4.0 total score, Peds QL 4.0 dimension scores, Peds QL 4.0 item scores, gender, and age were used as independent variables according to the Spearman correlation coefficient. The ranking of indicators, including the mean absolute error (MAE), root mean squared error (RMSE), adjusted R2, and consistent correlation coefficient (CCC), was used to assess the predictive ability of the models.ResultsThe Tobit model with selected Peds QL 4.0 item scores, gender and age as the independent variable predicted the most accurate. The best-performing models for other possible combinations of variables were also shown.ConclusionThe mapping algorithm helps to transform Peds QL 4.0 data into health utility value. It is valuable for conducting health technology evaluations within clinical studies that have only collected Peds QL 4.0 data.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mapping the Peds QLTM 4.0 onto CHU-9D: a cross-sectional study in functional dyspepsia population from China

Wang

Wan

et al. 2023

Front. Public Health

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“…PedsQL™ scores could not be used to calculate a quality adjusted life years (QALY) outcome directly as it is a non‐preference‐based measure (NPBM) instrument 23 . Therefore, a mapping algorithm was adopted to convert the scores of PedsQL™ to the utility score of the EQ‐5D‐Y (see Supporting Information).…”

Section: Methodsmentioning

confidence: 99%

Cost and health‐related quality of life for children hospitalized with respiratory syncytial virus in Central China

Ren,

Cui,

Wang

et al. 2023

Influenza Resp Viruses

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BackgroundThe economic burden of respiratory syncytial virus (RSV) infection and its impact on health‐related quality of life (HRQoL) are not well‐understood in China. This study assessed total cost and HRQoL for children hospitalized with RSV in Central China.MethodsBased on a prospective case series study in Henan Province in 2020–2021, inpatients aged 0–59 months with RSV‐related acute respiratory infections (ARIs) were included into analysis. Total cost included direct medical cost (sum of medical cost before and during hospitalization), direct non‐medical cost, and indirect cost. Direct medical cost during hospitalization data were extracted from the hospital information system. Other costs and HRQoL status were obtained from a telephone survey conducted in the caregivers of the enrolled patients.ResultsAmong 261 RSV‐infected inpatients, caregivers of 170 non‐severe cases (65.1%, 170/261) were successfully interviewed. Direct medical cost per episode was 1055.3 US dollars (US$) (95% CI: 998.2–1112.5 US$). Direct non‐medical cost and indirect cost per episode were 83.6 US$ (95% CI: 77.5–89.7 US$) and 162.4 US$ (95% CI: 127.9–197.0 US$), respectively. Quality adjusted life years (QALY) loss for non‐severe RSV hospitalization was 8.9 × 10−3 (95% CI: 7.9 × 10−3–9.9 × 10−3). The majority of inpatients were <1 year of age comprising significantly higher cost and more QALY loss than older children.ConclusionsRSV‐associated hospitalization poses high economic and health burden in Central China particularly for children <1 year old. Our findings are crucial for determining the priority of interventions and allocation of health resources.

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“…Many studies have found correlations between PedsQL and EQ-5D-Y-3L and CHU9D and often use PedsQL as a gold standard for convergent validity in validation studies [ 4 , 13 – 17 ]. There are mapping algorithms to infer EQ-5D and CHU9D utility scores from PedsQL [ 18 – 20 ]. Although our study focuses on providing evidence for validation for descriptive system for PBMs instead of utility (i.e., a single index which gives limited information on different health dimensions), the mapping algorithm added evidence to the common concept between PedsQL and EQ-5D-Y and CHU9D.…”

Section: Introductionmentioning

confidence: 99%

How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures

Xiong

Dalziel

Huang

et al. 2023

Health Qual Life Outcomes

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Background There is increasing interest in the validation of pediatric preference-based health-related quality of life measurement instruments. It is critical that children with various degrees of health-related quality of life (HRQoL) impact are included in validation studies. To inform patient sample selection for validation studies from a pragmatic perspective, this study explored HRQoL impairments between known-groups and HRQoL changes over time across 27 common chronic child health conditions and identified conditions with the largest impact on HRQoL. Methods The health dimensions of two common preference-based HRQoL measures, the EQ-5D-Y and CHU9D, were constructed using Pediatric Quality of Life Inventory items that overlap conceptually. Data was from the Longitudinal Study of Australian Children, a nationally representative sample with over 10,000 children at baseline. Seven waves of data were included for the analysis, with child age ranging from 2 to18 years. Impacts to specific health dimensions and overall HRQoL between those having a specific condition versus not were compared using linear mixed effects models. HRQoL changes over time were obtained by calculating the HRQoL differences between two consecutive time points, grouped by “Improved” and “Worsened” health status. Comparison among various health conditions and different age groups (2–4 years, 5–12 years and 13–18 years) were made. Results Conditions with the largest statistically significant total HRQoL impairments of having a specific condition compared with not having the condition were recurrent chest pain, autism, epilepsy, anxiety/depression, irritable bowel, recurrent back pain, recurrent abdominal pain, and attention deficit hyperactivity disorder (ADHD) for the total sample (2–18 years). Conditions with largest HRQoL improvement over time were anxiety/depression, ADHD, autism, bone/joint/muscle problem, recurrent abdominal pain, recurrent pain in other part, frequent headache, diarrhea and day-wetting. The dimensions included in EQ-5D-Y and CHU9D can generally reflect HRQoL differences and changes. The HRQoL impacts to specific health dimensions differed by condition in the expected direction. The conditions with largest HRQoL impacts differed by age group. Conclusions The conditions with largest HRQoL impact were identified. This information is likely to be valuable for recruiting patient samples when validating pediatric preference-based HRQoL instruments pragmatically.

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Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients

Cited by 10 publications

References 25 publications

Mapping the Peds QLTM 4.0 onto CHU-9D: a cross-sectional study in functional dyspepsia population from China

Mapping the Peds QLTM 4.0 onto CHU-9D: a cross-sectional study in functional dyspepsia population from China

Cost and health‐related quality of life for children hospitalized with respiratory syncytial virus in Central China

How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures

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