The use of multi-criteria decision analysis weight elicitation techniques in patients with mild cognitive impairment: a pilot study
- PMID: 22272809
- DOI: 10.2165/01312067-200801020-00008
The use of multi-criteria decision analysis weight elicitation techniques in patients with mild cognitive impairment: a pilot study
Abstract
Objective: To test the applicability of multi-criteria decision analysis preference elicitation techniques in cognitively impaired individuals.
Method: A convenience sample of 16 cognitively impaired subjects and 12 healthy controls was asked to participate in a small pilot study. The subjects determined the relative importance of four decision criteria using five different weight elicitation techniques, namely simple multi-attribute rating technique, simple multi-attribute rating technique using swing weights, Kepner-Tregoe weighting, the analytical hierarchical process, and conjoint analysis.
Results: Conjoint analysis was judged to be the easiest method for weight elicitation in the control group (Z = 10.00; p = 0.04), while no significant differences in difficulty rating between methods was found in cognitively impaired subjects. Conjoint analysis elicitates weights and rankings significantly different from other methods. Subjectively, cognitively impaired subjects were positive about the use of the weight elicitation techniques. However, it seems the use of swing weights can result in the employment of shortcut strategies.
Conclusion: The results of this pilot study suggest that individuals with mild cognitive impairment are willing and able to use multi-criteria elicitation methods to determine criteria weights in a decision context, although no preference for a method was found. The same methodologic and practical issues can be identified in cognitively impaired individuals as in healthy controls and the choice of method is mostly determined by the decision context.
Similar articles
-
Does technique matter; a pilot study exploring weighting techniques for a multi-criteria decision support framework.Cost Eff Resour Alloc. 2014 Nov 18;12:22. doi: 10.1186/1478-7547-12-22. eCollection 2014. Cost Eff Resour Alloc. 2014. PMID: 25904823 Free PMC article.
-
Eliciting public preferences for healthcare: a systematic review of techniques.Health Technol Assess. 2001;5(5):1-186. doi: 10.3310/hta5050. Health Technol Assess. 2001. PMID: 11262422
-
ELICIT: An alternative imprecise weight elicitation technique for use in multi-criteria decision analysis for healthcare.Expert Rev Pharmacoecon Outcomes Res. 2016;16(1):141-7. doi: 10.1586/14737167.2015.1083863. Epub 2015 Sep 1. Expert Rev Pharmacoecon Outcomes Res. 2016. PMID: 26361235 Free PMC article.
-
Suitability of Preference Methods Across the Medical Product Lifecycle: A Multicriteria Decision Analysis.Value Health. 2023 Apr;26(4):579-588. doi: 10.1016/j.jval.2022.11.019. Epub 2022 Dec 9. Value Health. 2023. PMID: 36509368
-
Quantifying benefit-risk preferences for medical interventions: an overview of a growing empirical literature.Appl Health Econ Health Policy. 2013 Aug;11(4):319-29. doi: 10.1007/s40258-013-0028-y. Appl Health Econ Health Policy. 2013. PMID: 23637054 Review.
Cited by
-
Assessing the Importance of Treatment Goals in Patients with Psoriasis: Analytic Hierarchy Process vs. Likert Scales.Patient. 2018 Aug;11(4):425-437. doi: 10.1007/s40271-018-0300-1. Patient. 2018. PMID: 29450833
-
A comparison of analytic hierarchy process and conjoint analysis methods in assessing treatment alternatives for stroke rehabilitation.Patient. 2012;5(1):45-56. doi: 10.2165/11587140-000000000-00000. Patient. 2012. PMID: 22185216
-
Does technique matter; a pilot study exploring weighting techniques for a multi-criteria decision support framework.Cost Eff Resour Alloc. 2014 Nov 18;12:22. doi: 10.1186/1478-7547-12-22. eCollection 2014. Cost Eff Resour Alloc. 2014. PMID: 25904823 Free PMC article.
-
Why should regulators consider using patient preferences in benefit-risk assessment?Pharmacoeconomics. 2014 Jan;32(1):1-4. doi: 10.1007/s40273-013-0118-6. Pharmacoeconomics. 2014. PMID: 24288209 No abstract available.
-
Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences.Med Decis Making. 2024 Feb;44(2):203-216. doi: 10.1177/0272989X231222421. Epub 2024 Jan 4. Med Decis Making. 2024. PMID: 38178591 Free PMC article.
References
LinkOut - more resources
Full Text Sources