Development of the multi-attribute Adolescent Health Utility Measure (AHUM)
نویسندگان
چکیده
OBJECTIVE Obtain utilities (preferences) for a generalizable set of health states experienced by older children and adolescents who receive therapy for chronic health conditions. METHODS A health state classification system, the Adolescent Health Utility Measure (AHUM), was developed based on generic health status measures and input from children with Hunter syndrome and their caregivers. The AHUM contains six dimensions with 4-7 severity levels: self-care, pain, mobility, strenuous activities, self-image, and health perceptions. Using the time trade off (TTO) approach, a UK population sample provided utilities for 62 of 16,800 AHUM states. A mixed effects model was used to estimate utilities for the AHUM states. The AHUM was applied to trial NCT00069641 of idursulfase for Hunter syndrome and its extension (NCT00630747). RESULTS Observations (i.e., utilities) totaled 3,744 (12*312 participants), with between 43 to 60 for each health state except for the best and worst states which had 312 observations. The mean utilities for the best and worst AHUM states were 0.99 and 0.41, respectively. The random effects model was statistically significant (p < 0.0001; adjusted R2 = 0.361; RMSE = 0.194). When AHUM utilities were applied to the idursulfase trial, mean utilities in the idursulfase weekly and placebo groups improved +0.087 and +0.006, respectively, from baseline to week 53. In the extension, when all patients received idursulfase, the utilities in the treatment group remained stable and the placebo group improved +0.039. DISCUSSION The AHUM health state classification system may be used in future research to enable calculation of quality-adjust life expectancy for applicable health conditions.
منابع مشابه
An improved similarity measure of generalized trapezoidal fuzzy numbers and its application in multi-attribute group decision making
Generalized trapezoidal fuzzy numbers (GTFNs) have been widely applied in uncertain decision-making problems. The similarity between GTFNs plays an important part in solving such problems, while there are some limitations in existing similarity measure methods. Thus, based on the cosine similarity, a novel similarity measure of GTFNs is developed which is combined with the concepts of geometric...
متن کاملComparison and evaluation of three methods of multi attribute decision making methods in choosing the best plant species for environmental management (Case study: Chah Jam Erg)
Today, environmental crisis and loss of natural resources are the principle causes of the creation of environmental management systems. The optimal management of natural resources requires the assessment and classification of ecological and environmental potentials. Using this method, the abilities and restrictions of resources can be recognized, and their future trends can be predicted. Nebka ...
متن کاملIntroducing a New Approach for Prioritizing Combating Desertification Strategies Based on Multi- Attribute Decision Making
Addressing desertification, due to its multi-criteria nature, increasing development, extensive and long-term impacts on natural resources and human populations, is necessary to achieve sustainable development. Therefore, for optimal utilization of facilities and limited funds allocated to this issue, evaluation of current strategies, based on different criteria is essential to avoid wasting na...
متن کاملComparison of Shariati hospital performance in Tehran before and after the health system transformation plan using a dynamic multi-attribute decision-making method
Abstract: Background: Iranian Health system Transformation plan has been implemented since 2014 with the aim of financial protection of people, equity establishment in access to health services and quality improvement of hospital services. Hospital performance evaluation is essential in order to monitor the health system transformation plan. One of the tools for evaluating hospital performance...
متن کاملThe Assessment of Quality of Life (AQoL).
The Assessment of Quality of Life (AQoL), developed by Australian researchers, is a multi-attribute utility (MAU) health-related quality of life instrument. While it can be used to measure health-related quality of life alone, its main purpose is to measure the ‘utility’ of health states (that is, the preferences people have for different health states) in a way suitable for use in economic eva...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 10 شماره
صفحات -
تاریخ انتشار 2012