Estimating a Preference-Based Single Index Measuring the Quality-of-Life Impact of Self-Management for Diabetes

Abstract

Methods: A large online survey was conducted using a discrete choice experiment (DCE) with duration as an additional attribute on members of the UK general population (n=1,493) to elicit values for health (social limitations, mood, vitality, hypoglycaemia) and non-health (stress, hassle, control, support) aspects of selfmanagement in diabetes. The data was modelled using a conditional fixed-effects logit model and utility estimates were anchored on the 1-0 full health-dead scale. Results:The model produced significant and consistent coefficients, with one logical inconsistency and three insignificant coefficients for the milder levels of some attributes. The anchored utilities range from 1 for the best state to -0.029 for the worst state (meaning worse than dead) defined by the classification system. Conclusion:The results presented here can potentially be used to generate utility values capturing the day to day impact of interventions in diabetes on both health and self-management. These utility values can potentially be used to generate QALYs for use in economic models of the cost-effectiveness of interventions in diabetes.

Identifying the Criteria Affecting Appropriate Allocation of Health System Resources to Different Diseases in Iran: A Qualitative Inquiry

“…Some other interviewees (No. 3,7,8,9,11,16,18,20,22, and 25) also pointed to the importance of patients' qualities.…”

“…Therefore, it is logical to consider some other indicators for the prioritization of health services. For instance, the National Health Service considers egalitarian goals such as improving the health of the poor for the allocation of health resources (7,8). According to the literature, mechanisms that cover a broad spectrum of health care benefits and issues should be applied for resource allocation (9,10).…”

Assessment of the psychometric properties and refinement of the Health and Self-Management in Diabetes Questionnaire (HASMID)

“…The overall questionnaire is reverse scored from 0 to 24, with a high score indicating better health related quality of life, and a lower score indicating worse health related quality of life [4]. The measure has been valued using discrete choice experiments that enable the measure to be used to generate quality adjusted life years (QALYs) for use in costutility analyses, or willingness-to-pay values to generate monetary values for use in cost-benefit analyses [5,6].…”

“…Scores can range from 0 to 30, with a higher score indicating better quality of life. Utility scores and willingness-topay values can be generated for HASMID-10, for each time a respondent completes the measure [5,6]. The utility scores generate a utility value each time a respondent completes the measure, and can be used to generate QALYs for cost-utility analyses for economic evaluation to inform resource allocation decisions.…”

Using discrete choice model to elicit preference for health-care priority setting

“…[ 4 ] Many attributes of people including gender, age, the responsibility, and health status without treatment in the process of setting priorities should be considered. [ 5 6 ]…”