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 . (
Nurse-led follow-up of patients after oesophageal or gastric cardia cancer surgery: a randomised trial
Between January 2004 and February 2006 , 109 patients after intentionally curative surgery for oesophageal or gastric cardia cancer were r and omised to st and ard follow-up of surgeons at the outpatient clinic  ( st and ard follow-up ; n=55 ) or by regular home visits of a specialist nurse ( nurse-led follow-up ; n=54 ) . Longitudinal data on generic ( EuroQuol-5D , European Organization for Research and Treatment of Cancer ( EORTC ) QLQ-C30 ) and disease-specific quality of life ( EORTC QLQ-OES18 ) , patient satisfaction and costs were collected at baseline and at 6 weeks and 4 , 7 and 13 months afterwards . We found largely similar quality -of-life scores in the two follow-up groups over time . At 4 and 7 months , slightly more improvement on the EQ-VAS was noted in the nurse-led compared with the st and ard follow-up group ( P=0.13 and 0.12 , respectively ) . Small differences were also found in patient satisfaction between the two groups ( P=0.14 ) , with spouses being more satisfied with nurse-led follow-up ( P=0.03 ) . No differences were found in most medical outcomes . However , body weight of patients of the st and ard follow-up group deteriorated slightly ( P=0.04 ) , whereas body weight of patients of the nurse-led follow-up group remained stable . Medical costs were lower in the nurse-led follow-up group ( [ euro ] 2600 vs [ euro ] 3800 ) , however , due to the large variation between patients , this was not statistically significant ( P=0.11 ) . A cost effectiveness acceptability curve showed that the probability of being cost effective for costs per one point gain in general quality -of-life exceeded 90 and 75 % after 4 and 13 months of follow-up , respectively . Nurse-led follow-up at home does not adversely affect quality of life or satisfaction of patients compared with st and ard follow-up by clinicians at the outpatient clinic . This type of care is very likely to be more cost effective than physician-led follow-up
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 . (