Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer’s disease scale: development and results from a mapping study

Abstract

Purpose The Quality of Life Alzheimer’s Disease Scale (QoL-AD) is commonly used to assess disease specific health-related quality of life (HRQoL) as rated by patients and their carers. For cost-effectiveness analyses, utilities based on the EQ-5D are often required. We report a new mapping algorithm to obtain EQ-5D indices when only QoL-AD data are available. Methods Different statistical models to estimate utility directly, or responses to individual EQ-5D questions (response mapping) from QoL-AD, were trialled for patient-rated and proxy-rated questionnaires. Model performance was assessed by root mean square error and mean absolute error. Results The response model using multinomial regression including age and sex, performed best in both the estimation dataset and an independent dataset. Conclusions The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected.

Benefits of a digital health technology for older nursing home residents. A de-novo cost-effectiveness model for digital health technologies to aid in the assessment of toileting and containment care needs

“…Ideally, group, CS and SHL utilities would have been measured in the trial, to ensure the validity of the estimates to the study population and to account for interrelations between decrements. The recently developed mapping algorithm [ 64 ] could assist in transforming AD-QoL values to EQ-5D utility values in the absence of EQ-5D measurements, but would also require trial data that distinguish group, CS and SHL. The QALY gains in this analysis are solely driven by utilities, and the utility values have the largest impact in the OWSA on incremental effects.…”

People Diagnosed with Myasthenia Gravis have Lower health-related quality of life and Need More Medical and Caregiver Help in Comparison to the General Population: Analysis of Two Observational Studies

“…A systematic literature review comparing EQ-5D scores in chronic diseases with the general population concluded that patients with neurological disorders have the highest reduction in HRQoL [ 53 ]. This is consistent with other studies reporting markedly lower mean EQ-5D values than in our POPUP study (0.739) for patients with ALS (0.59 [ 54 ], 0.54 [ 49 ], and 0.55 [ 55 ]), multiple sclerosis (0.6 [ 56 ], 0.31 [ 57 ], 0.59 [ 58 ], 0.59 [ 59 ], 0.68 [ 60 ], and 0.78 [ 61 ]), Duchenne muscular dystrophy (0.4 [ 62 ]), Alzheimer’s disease (self-reported: 0.77 [ 63 ] and 0.71 [ 64 ], proxy-reported: 0.6 [ 63 ], and 0.30 [ 64 ]) and Parkinson’s disease [0.59 [ 65 ], 0.71 [ 66 ], and 0.62 [ 67 ] (median)].…”

Obtaining EQ-5D-3L utility index from the health status scale of traditional Chinese medicine (TCM-HSS) based on a mapping study

“…Afterwards, we adjusted the mapping model by adding squared items and interaction terms and eliminated insignificant terms ( P > 0.05) to obtain the final mapping algorithm, a two-part regression model with eight subscale scores in TCM-HSS, three interaction terms, and covariates (age, gender) as independent variables (see Additional file 1 : Table S7). Generally, the mapping algorithms tend to overestimate poorer health status and underestimate better health status [ 34 ]. We do the same, the predicted values were all below 1 but very close to 1 for the observed utilities at 1, however, the predictions were overestimated for the observed utilities below 0.6.…”