scholarly journals Using a Discrete-Choice Experiment Involving Cost to Value a Classification System Measuring the Quality-of-Life Impact of Self-Management for Diabetes

2018 ◽  
Vol 21 (1) ◽  
pp. 69-77 ◽  
Author(s):  
Donna Rowen ◽  
Katherine Stevens ◽  
Alexander Labeit ◽  
Jackie Elliott ◽  
Brendan Mulhern ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Classification System ◽  
Choice Experiment ◽  
Self Management ◽  
Life Impact

scholarly journals Experts’ preferences for sarcopenia outcomes: a discrete-choice experiment from a working group of the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) in collaboration with the European Union of Geriatric Medicine Society (EUGMS)

2021 ◽  
Author(s):  
Charlotte Beaudart ◽  
◽  
Jürgen M. Bauer ◽  
Francesco Landi ◽  
Olivier Bruyère ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Musculoskeletal Diseases ◽  
Geriatric Medicine ◽  
Mixed Logit ◽  
The European Union ◽  
Domestic Activities

Abstract Background and aims To assess experts’ preference for sarcopenia outcomes. Methods A discrete-choice experiment was conducted among 37 experts (medical doctors and researchers) from different countries around the world. In the survey, they were repetitively asked to choose which one of two hypothetical patients suffering from sarcopenia deserves the most a treatment. The two hypothetical patients differed in five pre-selected sarcopenia outcomes: quality of life, mobility, domestic activities, fatigue and falls. A mixed logit panel model was used to estimate the relative importance of each attribute. Results All sarcopenia outcomes were shown to be significant, and thus, important for experts. Overall, the most important sarcopenia outcome was falls (27%) followed by domestic activities and mobility (24%), quality of life (15%) and fatigue (10%). Discussion and conclusion Compared to patient’s preferences, experts considered falls as a more important outcome of sarcopenia, while the outcomes fatigue and difficulties in domestic activities were considered as less important.

Investigating the relative value of health and social care related quality of life using a discrete choice experiment

2019 ◽  
Vol 233 ◽  
pp. 28-37 ◽  
Author(s):  
Brendan Mulhern ◽  
Richard Norman ◽  
Richard De Abreu Lourenco ◽  
Juliette Malley ◽  
Deborah Street ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Social Care ◽  
Relative Value ◽  
Health And Social Care ◽  
Related Quality ◽  
Value Of Health

scholarly journals Dear policy maker: Have you made up your mind? A discrete choice experiment among policy makers and other health professionals

2010 ◽  
Vol 26 (2) ◽  
pp. 198-204 ◽  
Author(s):  
Marc A. Koopmanschap ◽  
Elly A. Stolk ◽  
Xander Koolman
Keyword(s):  
Quality Of Life ◽  
Cost Effectiveness ◽  
Disease Severity ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Healthcare Professionals ◽  
Budget Impact ◽  
Policy Makers

Objectives: The aim of this study was to get insight in what criteria as presented in Health technology assessment (HTA) studies are important for decision makers in healthcare priority setting.Methods: We performed a discrete choice experiment among Dutch healthcare professionals (policy makers, HTA experts, advanced HTA students). In twenty-seven choice sets, we asked respondents to elect reimbursement of one of two different healthcare interventions, which represented unlabeled, curative treatments. Both treatments were incrementally compared with usual care. The results of the interventions were normal outputs of HTA studies with a societal perspective. Results were analyzed using a multinomial logistic regression model. Upon completion of the questionnaire, we discussed the exercise with policy makers.Results: Severity of disease, costs per quality-adjusted life-year gained, individual health gain, and the budget impact were the most decisive decision criteria. A program targeting more severe diseases increased the probability of reimbursement dramatically. Uncertainty related to cost-effectiveness was also important. Respondents preferred health gains that include quality of life improvements over extension of life without improved quality of life. Savings in productivity costs were not crucial in decision making, although these are to be included in Dutch reimbursement dossiers for new drugs. Regarding subgroups, we found that policy makers attached relatively more weight to disease severity than others but less to uncertainty.Conclusions: Dutch policy makers and other healthcare professionals seem to have reasonably well articulated preferences: six of seven attributes were significant. Disease severity, budget impact, and cost-effectiveness were very important. The results are comparable to international studies, but reveal a larger set of important decision criteria.

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

2018 ◽  
Vol 38 (6) ◽  
pp. 699-707 ◽  
Author(s):  
Donna Rowen ◽  
Alexander Labeit ◽  
Katherine Stevens ◽  
Jackie Elliott ◽  
Brendan Mulhern ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Classification System ◽  
Fixed Effects ◽  
Online Survey ◽  
Self Management ◽  
Health State ◽  
Utility Values ◽  
Life Years ◽  
Life Impact

Objective. Self-management is becoming increasingly important in diabetes but is neglected in conventional preference-based measures. The objective of this paper was to generate health state utility values for a novel classification system measuring the quality-of-life impact of self-management for diabetes, which can be used to generate quality-adjusted life years (QALYs). 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 self-management in diabetes. The data were modelled using a conditional fixed-effects logit model and utility estimates were anchored on the one to zero (full health to dead) scale. Results. The model produced significant and consistent coefficients, with one logical inconsistency and 3 insignificant coefficients for the milder levels of some attributes. The anchored utilities ranged 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 economic models of the cost-effectiveness of interventions in diabetes.

Using a Discrete Choice Experiment to Elicit Time Trade-Off and Willingness-to-Pay Amounts for Influenza Health-Related Quality of Life at Different Ages

2013 ◽  
Vol 31 (4) ◽  
pp. 305-315 ◽  
Author(s):  
Lisa A. Prosser ◽  
Katherine Payne ◽  
Donna Rusinak ◽  
Ping Shi ◽  
Mark Messonnier
Keyword(s):  
Quality Of Life ◽  
Willingness To Pay ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Health Related Quality ◽  
Trade Off ◽  
Related Quality ◽  
Health Related

scholarly journals How Do Older Adults Consider Age, Life Expectancy, Quality of Life, and Physician Recommendations When Making Cancer Screening Decisions? Results from a National Survey Using a Discrete Choice Experiment

2019 ◽  
Vol 39 (6) ◽  
pp. 621-631 ◽  
Author(s):  
Ellen M. Janssen ◽  
Craig E. Pollack ◽  
Cynthia Boyd ◽  
John F. P. Bridges ◽  
Qian-Li Xue ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Cancer Screening ◽  
Life Expectancy ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Preference Weight ◽  
Physician Recommendation

Background. Older adults with limited life expectancy frequently receive cancer screening, although on average, harms outweigh benefits. We examined the influence of life expectancy on older adults’ cancer screening decisions relative to three other factors. Methods. Adults aged 65+ years ( N = 1272) were recruited from a national online survey panel. Using a discrete choice experiment, we systematically varied a hypothetical patient’s life expectancy, age, quality of life, and physician’s recommendation and asked whether the participant would choose screening. Participants were randomized to questions about colonoscopy or prostate-specific antigen/mammography screenings. Logistic regression produced preference weights that quantified the relative influence of the 4 factors on screening decisions. Results. 879 older adults completed the survey, 660 of whom varied their screening choices in response to the 4 factors we tested. The age of the hypothetical patient had the largest influence on choosing screening: the effect of age being 65 versus 85 years had a preference weight of 2.44 (95% confidence interval [CI]: 2.22, 2.65). Life expectancy (10 versus 1 year) had the second largest influence (preference weight: 1.64, CI: 1.41, 1.87). Physician recommendation (screen versus do not screen) and quality of life (good versus poor) were less influential, with preference weights of 0.90 (CI: 0.72, 1.08) and 0.68 (CI: 0.52, 0.83), respectively. Conclusions. While clinical practice guidelines increasingly use life expectancy in addition to age to guide screening decisions, we find that age is the most influential factor, independent of life expectancy, quality of life, and physician recommendation, in older adults’ cancer screening choices. Strategies to reduce overscreening should consider the importance patients give to continuing screening at younger ages, even when life expectancy is limited.

scholarly journals Understanding what women want: eliciting preference for delivery health facility in a rural subcounty in Kenya, a discrete choice experiment

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e038865
Author(s):  
Jackline Oluoch-Aridi ◽  
Mary B Adam ◽  
Francis Wafula ◽  
Gilbert Kokwaro
Keyword(s):  
Quality Of Care ◽  
Health Facility ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Home Delivery ◽  
Process Indicator ◽  
Opt Out ◽  
Women’S Preferences

ObjectiveTo identify what women want in a delivery health facility and how they rank the attributes that influence the choice of a place of delivery.DesignA discrete choice experiment (DCE) was conducted to elicit rural women’s preferences for choice of delivery health facility. Data were analysed using a conditional logit model to evaluate the relative importance of the selected attributes. A mixed multinomial model evaluated how interactions with sociodemographic variables influence the choice of the selected attributes.SettingSix health facilities in a rural subcounty.ParticipantsWomen aged 18–49 years who had delivered within 6 weeks.Primary outcomeThe DCE required women to select from hypothetical health facility A or B or opt-out alternative.ResultsA total of 474 participants were sampled, 466 participants completed the survey (response rate 98%). The attribute with the strongest association with health facility preference was having a kind and supportive healthcare worker (β=1.184, p<0.001), second availability of medical equipment and drug supplies (β=1.073, p<0.001) and third quality of clinical services (β=0.826, p<0.001). Distance, availability of referral services and costs were ranked fourth, fifth and sixth, respectively (β=0.457, p<0.001; β=0.266, p<0.001; and β=0.000018, p<0.001). The opt-out alternative ranked last suggesting a disutility for home delivery (β=−0.849, p<0.001).ConclusionThe most highly valued attribute was a process indicator of quality of care followed by technical indicators. Policymakers need to consider women’s preferences to inform strategies that are person centred and lead to improvements in quality of care during delivery.

scholarly journals Valuing the SF-6Dv2 Classification System in the United Kingdom Using a Discrete-choice Experiment With Duration

Medical Care ◽  
2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Brendan J. Mulhern ◽  
Nick Bansback ◽  
Richard Norman ◽  
John Brazier
Keyword(s):  
United Kingdom ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Classification System ◽  
Choice Experiment ◽  
The United Kingdom
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