Preference-based utility weights for the Individualized Neuromuscular Quality of Life Questionnaire (INQoL), with a focus on non-dystrophic myotonia (NDM)
- PMID: 38416296
- PMCID: PMC11639140
- DOI: 10.1007/s10198-024-01674-2
Preference-based utility weights for the Individualized Neuromuscular Quality of Life Questionnaire (INQoL), with a focus on non-dystrophic myotonia (NDM)
Abstract
Introduction: The Individualized Neuromuscular Quality of Life Questionnaire (INQoL) is used to measure quality of life in neuromuscular disorders such as non-dystrophic myotonia (NDM). Here we report methods to estimate utilities, with a focus on NDM, from this questionnaire based on two preference elicitation exercises.
Methods: Eight items from the INQoL were selected with input from three neuromuscular disorder clinical experts with expertise in treating NDM. A discrete choice experiment (DCE) survey of UK general public respondents (n = 508) described outcomes defined by the INQoL items. The same 8 items were also valued using time trade-off (TTO) face-to-face interviews (n = 200). A hybrid regression modelling approach combined both datasets to inform the utility weights.
Results: Hybrid modelling of DCE and TTO data in conjunction improved out-of-sample predictive accuracy. The selected INQoL utility model indicates substantial disutility associated with all eight dimensions of health, with the greatest losses associated with subjective items such as pain and depression.
Discussion: The hybrid modelling approach allows us to combine data from the two methodologies and maximize the information from each to inform the utility weights for the INQoL. The TTO is the more conventional valuation method, but combined with the larger DCE study produced better descriptive coverage. This is a relatively novel method for estimating weights which we think is particularly well suited to economic evaluations of orphan drugs.
Keywords: Health; Individualized Neuromuscular Quality of Life Questionnaire; Non-dystrophic myotonia; Pharmacoeconomics; Quality of Life; Utility.
© 2024. The Author(s).
Conflict of interest statement
Andrew Lloyd is an employee and stock holder in Acaster Lloyd Consulting Ltd which was paid a fixed fee by Lupin Healthcare (UK) Limited for work on this project. Kim Rand is an employee and stock holder in Maths in Health which was paid a fixed fee by Lupin Healthcare (UK) Limited for work on this project. Cleo Pike is a freelance contractor paid for her time on the project. Crispin Ellis is an employee and stock holder in Lupin Pharmaceuticals who market Mexiletine for the treatment of non-dystrophic myotonia. The authors declare no other competing interests.
Similar articles
-
Improving the understanding of how patients with non-dystrophic myotonia are selected for myotonia treatment with mexiletine (NaMuscla): outcomes of treatment impact using a European Delphi panel.BMC Neurol. 2021 Dec 1;21(1):467. doi: 10.1186/s12883-021-02491-3. BMC Neurol. 2021. PMID: 34852780 Free PMC article.
-
Preparatory study for the revaluation of the EQ-5D tariff: methodology report.Health Technol Assess. 2014 Feb;18(12):vii-xxvi, 1-191. doi: 10.3310/hta18120. Health Technol Assess. 2014. PMID: 24568945 Free PMC article.
-
Derivation of a UK preference-based value set for the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) to allow estimation of Mental Well-being Adjusted Life Years (MWALYs).Soc Sci Med. 2023 Jun;327:115928. doi: 10.1016/j.socscimed.2023.115928. Epub 2023 Apr 29. Soc Sci Med. 2023. PMID: 37201343
-
Efficient Designs for Valuation Studies That Use Time Tradeoff (TTO) Tasks to Map Latent Utilities from Discrete Choice Experiments to the Interval Scale: Selection of Health States for TTO Tasks.Med Decis Making. 2023 Apr;43(3):387-396. doi: 10.1177/0272989X231159381. Epub 2023 Mar 3. Med Decis Making. 2023. PMID: 36866604
-
Non-dystrophic myotonia: 2-year clinical and patient reported outcomes.Muscle Nerve. 2022 Aug;66(2):148-158. doi: 10.1002/mus.27649. Epub 2022 Jun 16. Muscle Nerve. 2022. PMID: 35644941 Free PMC article.
References
-
- NICE. Guide to the methods of technology appraisal 2013 Process and methods [Internet]. 2013. Available from: www.nice.org.uk/process/pmg9 (2013)
-
- Rowen, D., Azzabi Zouraq, I., Chevrou-Severac, H., van Hout, B.: International regulations and recommendations for utility data for health technology assessment. Pharmacoeconomics 35(S1), 11–19 (2017) - PubMed
-
- Longworth, L., Rowen, D.: Mapping to obtain EQ-5D utility values for use in NICE health technology assessments. Value Health 16(1), 202–210 (2013) - PubMed
-
- Rose, M., Brooks, V., Walburn, J., Sanders, D., Pandya, S., Kissel, J.: Validation of a quality of life measure for myasthenia gravis. In: Neuromuscular disorders, pp. 152–152. Oxford, England, Pergamon-Elsevier Science Ltd (2006)
MeSH terms
Supplementary concepts
LinkOut - more resources
Full Text Sources