The EQ-5D and SF-36 achieved mixed results in the quantitative testing against psychometric criteria .
The qualitative analysis suggests this is because they provide a very limited coverage of themes identified by people with mental health problems .
BACKGROUND Generic preference-based measures of health like the EQ-5D and SF-6D ( ® ) are increasingly being used in economic evaluation and outcome assessment .
However , there are concerns as to whether or not these generic measures are appropriate for use in people with mental health problems .
OBJECTIVES The EQ-5D and SF-36 ( ® ) ( including its derivatives the SF-12 ( ® ) and SF-6D ) were assessed using the psychometric criteria of validity and responsiveness using quantitative and qualitative methods .
Another aim was to estimate mapping functions between the EQ-5D and SF-6D and condition-specific measures , where appropriate .
Short Form 36 and Hospital Anxiety and Depression Scale. A comparison based on patients with testicular cancer.
BACKGROUND The aim of this study was to compare the scorings of  anxiety and depression  assessed by the  Hospital Anxiety and Depression Scale ( HADS-A [ Anxiety ] and HADS-D [ Depression ] )  with the scorings on the eight subscales of Short Form 36 ( SF-36 ) and the Physical ( PCS ) and Mental Component Summary ( MCS ) assessed by the same patients . METHOD In a cross-sectional study 736 long-term survivors after treatment for testicular cancer ( TC ) completed HADS and SF-36 . Pearson 's correlation coefficients were calculated on item and scale level to assess the associations between the HADS and the SF-36 scales and , in particular , between HADS and PCS and MCS , respectively . Independent predictors for PCS and MCS were identified by linear regression analysis . RESULTS HADS-A and HADS-D were significantly associated with the SF-36 summary scales . HADS-A explained 5 % of the variance of PCS and 49 % of the variance of MCS . The comparable figures for HADS-D were 10 % and 45 % , respectively . In the multivariate analysis the HADS-D scoring independently predicted the level of PCS together with the patients ' educational level , long-lasting working disability and age ( variance : 30 % ) . Both HADS-D and HADS-A remained independent parameters for MCS ( variance : 58 % ) together with the patient 's civil status . HADS-D item D4 ( " slowed down " ) was similarly associated with both PCS and MCS . CONCLUSION In univariate analyses HADS-D and HADS-A were statistically associated with PCS and MCS . The highest r values were observed for the associations between HADS and MCS , in particular between HADS-A and MCS . In the multivariate analyses HADS-D , but not HADS-A , contributed to PCS , whereas both HADS-A and HADS-D were associated with MCS . This pattern of different predictions of the summary scales of SF-36 supports a clinical practice that anxiety and depression should be assessed separately . Additional use of a self-rating instrument for depression and anxiety , such as HADS , is recommended when SF-36 is used for quality of life ( QL ) assessment
The EQ-5D and SF-36 achieved mixed results in the quantitative testing against psychometric criteria .
The qualitative analysis suggests this is because they provide a very limited coverage of themes identified by people with mental health problems .
BACKGROUND Generic preference-based measures of health like the EQ-5D and SF-6D ( ® ) are increasingly being used in economic evaluation and outcome assessment .
However , there are concerns as to whether or not these generic measures are appropriate for use in people with mental health problems .
OBJECTIVES The EQ-5D and SF-36 ( ® ) ( including its derivatives the SF-12 ( ® ) and SF-6D ) were assessed using the psychometric criteria of validity and responsiveness using quantitative and qualitative methods .
Another aim was to estimate mapping functions between the EQ-5D and SF-6D and condition-specific measures , where appropriate .