RESULTS ( 1 ) EQ-5D was valid and responsive for skin conditions and most cancers ; in vision , its performance varied according to aetiology ; and performance was poor for hearing impairments .
The HUI3 performed well for hearing and vision disorders .
It also performed well in cancers although evidence was limited and there was no evidence in skin conditions .
Response mapping using all the domain scores was the best performing model for the EORTC QLQ-C30 .
In an exploratory analysis , a limited dependent variable mixture model performed better than an equivalent linear model .
3 ) The exploratory valuation study found that bolt-on items for vision , hearing and tiredness had a significant impact on values of the health states , but the direction and magnitude of differences depended on the severity of the health state .
The vision bolt-on item had a statistically significant impact on EQ-5D health state values and a full valuation model was estimated .
EQ-5D performs well in studies of cancer and skin conditions .
Mapping techniques provide a solution to predict EQ-5D values where EQ-5D has not been administered .
For conditions where EQ-5D was found to be inappropriate , including some vision disorders and for hearing , bolt-ons provide a promising solution .
BACKGROUND The National Institute for Health and Care Excellence recommends the use of generic preference-based measures ( GPBMs ) of health for its Health Technology Assessment s ( HTAs ) .
However , these data may not be available or appropriate for all health conditions .
OBJECTIVES To determine whether GPBMs are appropriate for some key conditions and to explore alternative methods of utility estimation when data from GPBMs are unavailable or inappropriate .
( 2 ) Potential modelling approaches to ' map ' EQ-5D values from condition-specific and clinical measures of health [ European Organisation for Research and Treatment of Cancer Quality -of-life Question naire Core 30 ( EORTC QLQ-C30 ) and Functional Assessment of Cancer Therapy - General Scale ( FACT-G ) ] are compared for predictive ability and goodness of fit using two separate data sets . (
Health-related quality of life during post-induction chemotherapy in children with acute lymphoblastic leukemia in remission.
Using a multi-attribute approach , we and others have reported on the comprehensive health status of survivors of cancer in childhood , after completion of therapy . However , there is a dearth of information about health status and associated health-related quality of life ( HRQL ) in children and adults with cancer , during the treatment process ; a deficit which this study was intended to redress . All children ( n=18 ) receiving ' maintenance ' chemotherapy for acute lymphoblastic leukemia ( ALL ) at a single institution were assessed prospect ively through a single cycle of therapy . Patients , family members and health care professionals used global ratings , the health utilities index mark 2 ( HUI2 ) and mark 3 ( HUI3 ) classification systems , and detailed descriptions of temporary states of health , to provide independent assessment s of health status at weekly intervals . Utility scores were derived for each comprehensive health state and for single attribute levels of the HUI2 system , and for the temporary health state descriptions . The classification of the subjects into the most appropriate temporary health states was challenging even for older children and some of the parents . The HUI instruments were used much more easily and produced highly comparable information . The most frequently affected attributes were pain , emotion and mobility/ambulation ; in that order . The global ( p=0.005 ) and specific morbidity burdens were , as predicted , greatest in the middle of the cycle of chemotherapy , reflecting the toxicity of steroid use . HUI2 global utility scores demonstrated moderate responsiveness with an intra-class correlation coefficient of 0.43 . Cyclical administration of therapy , in particular corticosteroids , produces important changes in health status and HRQL in children with ALL . The HUI are valid and responsive systems for quantifying the burden of morbidity during the treatment of cancer in childhood . These are sensitive tools which can be used in a wide array of other circumstances to quantify changes in health status
RESULTS ( 1 ) EQ-5D was valid and responsive for skin conditions and most cancers ; in vision , its performance varied according to aetiology ; and performance was poor for hearing impairments .
The HUI3 performed well for hearing and vision disorders .
It also performed well in cancers although evidence was limited and there was no evidence in skin conditions .
Response mapping using all the domain scores was the best performing model for the EORTC QLQ-C30 .
In an exploratory analysis , a limited dependent variable mixture model performed better than an equivalent linear model .
3 ) The exploratory valuation study found that bolt-on items for vision , hearing and tiredness had a significant impact on values of the health states , but the direction and magnitude of differences depended on the severity of the health state .
The vision bolt-on item had a statistically significant impact on EQ-5D health state values and a full valuation model was estimated .
EQ-5D performs well in studies of cancer and skin conditions .
Mapping techniques provide a solution to predict EQ-5D values where EQ-5D has not been administered .
For conditions where EQ-5D was found to be inappropriate , including some vision disorders and for hearing , bolt-ons provide a promising solution .
BACKGROUND The National Institute for Health and Care Excellence recommends the use of generic preference-based measures ( GPBMs ) of health for its Health Technology Assessment s ( HTAs ) .
However , these data may not be available or appropriate for all health conditions .
OBJECTIVES To determine whether GPBMs are appropriate for some key conditions and to explore alternative methods of utility estimation when data from GPBMs are unavailable or inappropriate .
( 2 ) Potential modelling approaches to ' map ' EQ-5D values from condition-specific and clinical measures of health [ European Organisation for Research and Treatment of Cancer Quality -of-life Question naire Core 30 ( EORTC QLQ-C30 ) and Functional Assessment of Cancer Therapy - General Scale ( FACT-G ) ] are compared for predictive ability and goodness of fit using two separate data sets . (