Comparison of weighting methods used in multicriteria decision analysis frameworks in healthcare with focus on low- and middle-income countries

Németh, Bertalan; Molnár, Anett; Bozóki, Sándor; Wijaya, Kalman; Inotai, András; Campbell, Jonathan D.; Kaló, Zoltán

doi:10.2217/cer-2018-0102

Cited by 114 publications

(70 citation statements)

References 52 publications

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“…Furthermore, we will apply of advanced methods to harmonize the aggregation of UDs with inconsistent variance (e.g. weighted linear methods 59 ) and/or estimate the suitability of habitat use based on fine-scale environmental factors (e.g. species distribution model) 60 – 62 .…”

Section: Discussionmentioning

confidence: 99%

Fine-scale tracking of wild waterfowl and their impact on highly pathogenic avian influenza outbreaks in the Republic of Korea, 2014–2015

Lee

Martínez‐López

et al. 2020

Sci Rep

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Wild migratory waterfowl are considered one of the most important reservoirs and long-distance carriers of highly pathogenic avian influenza (HPAI). Our study aimed to explore the spatial and temporal characteristics of wild migratory waterfowl’s wintering habitat in the Republic of Korea (ROK) and to evaluate the impact of these habitats on the risk of HPAI outbreaks in commercial poultry farms. The habitat use of 344 wild migratory waterfowl over four migration cycles was estimated based on tracking records. The association of habitat use with HPAI H5N8 outbreaks in poultry farms was evaluated using a multilevel logistic regression model. We found that a poultry farm within a wild waterfowl habitat had a 3–8 times higher risk of HPAI outbreak than poultry farms located outside of the habitat. The range of wild waterfowl habitats increased during autumn migration, and was associated with the epidemic peak of HPAI outbreaks on domestic poultry farms in the ROK. Our findings provide a better understanding of the dynamics of HPAI infection in the wildlife–domestic poultry interface and may help to establish early detection, and cost-effective preventive measures.

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Section: Discussionmentioning

confidence: 99%

Fine-scale tracking of wild waterfowl and their impact on highly pathogenic avian influenza outbreaks in the Republic of Korea, 2014–2015

Lee

Martínez‐López

et al. 2020

Sci Rep

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“…DCE evaluates preferences of an individual by analyzing choices he/she makes while trading-off between a series of choice alternatives described by a number of predefined attributes. DCE mimics real choice behavior which is natural and easy to understand for participants, and it is less prone to bias than direct rating for assigning weights to attributes (11).…”

Section: Introductionmentioning

confidence: 99%

Social Preferences for Orphan Drugs: A Discrete Choice Experiment Among the French General Population

et al. 2020

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Objectives: While several authors have suggested using a multi-criteria approach for orphan drug assessment and proposed lists of determinants of orphan drug value, studies on social preferences regarding these determinants remain limited. The current study aimed to identify preferences of the French general population regarding attributes characterizing the value of orphan drugs in a discrete choice experiment. Methods: The list of attributes was formed based on a literature search and was refined through expert interviews, a focus group, and a pilot study. The final list included nine attributes: disease-associated disability, disease-associated mortality, number of patients, availability of alternative treatments, treatment impact on disease disability, treatment impact on mortality, treatment safety, uncertainty around therapeutic effect, and annual treatment cost per patient. Members of the General Public were presented with 12 choice sets containing two drug profiles described according to the attributes and an option to fund neither of these treatments. The questionnaire was disseminated online. A conditional logit model with random effects was used to estimate the weight of each attribute. Results: A total of 958 persons participated in the study (48.7% male, mean age: 47.5 years). All attributes except for disease-associated disability had a statistically significant influence on the choices made by participants. The attribute with the highest weight was treatment impact on mortality (p < 0.0001), followed by uncertainty around therapeutic effect (p < 0.0001). The direction of results was generally consistent with intuition: patients preferred a drug with a larger impact on mortality, a larger impact on disability, with mild or no adverse events, with less uncertainty. Although patients appeared to prefer drugs with a lower budget impact, the relationship between patient preferences and costs was more complex. Conclusions: Preferences of the general public between orphan drugs are mostly driven by the impact on mortality and the degree of certainty regarding the available evidence.

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“…Moreover, the weights elicited by DR are more reliable than those elicited by PA [44]. However, a little variation of the averaged weights is repeatedly identified as the downside of the straightforward DR technique [48].…”

Section: Direct Weighting Approachesmentioning

confidence: 99%

“…Direct weighting approaches like point allocation, direct rating, SMART, and SMARTER might be considered as the simplest criteria elicitation methods [48]. Direct rating (DR) is probably the easiest of them since criteria weights are assessed by purely asking the respondents to assign absolute values of the criteria.…”

Section: Comparison Of the Direct Rating And Vasma Weightsmentioning

confidence: 99%

VASMA Weighting: Survey-Based Criteria Weighting Methodology that Combines ENTROPY and WASPAS-SVNS to Reflect the Psychometric Features of the VAS Scales

et al. 2020

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Data symmetry and asymmetry might cause difficulties in various areas including criteria weighting approaches. Preference elicitation is an integral part of the multicriteria decision-making process. Weighting approaches differ in terms of accuracy, ease of use, complexity, and theoretical foundations. When the opinions of the wider audience are needed, electronic surveys with the matrix questions consisting of the visual analogue scales (VAS) might be employed as the easily understandable data collection tool. The novel criteria weighting technique VASMA weighting (VAS Matrix for the criteria weighting) is presented in this paper. It respects the psychometric features of the VAS scales and analyzes the uncertainties caused by the survey-based preference elicitation. VASMA weighting integrates WASPAS-SVNS for the determination of the subjective weights and Shannon entropy for the calculation of the objective weights. Numerical example analyzing the importance of the criteria that affect parents’ decisions regarding the choice of the kindergarten institution was performed as the practical application. Comparison of the VASMA weighting and the direct rating (DR) methodologies was done. It revealed that VASMA weighting is able to overcome the main disadvantages of the DR technique—the high biases of the collected data and the low variation of the criteria weights.

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Comparison of weighting methods used in multicriteria decision analysis frameworks in healthcare with focus on low- and middle-income countries

Cited by 114 publications

References 52 publications

Fine-scale tracking of wild waterfowl and their impact on highly pathogenic avian influenza outbreaks in the Republic of Korea, 2014–2015

Fine-scale tracking of wild waterfowl and their impact on highly pathogenic avian influenza outbreaks in the Republic of Korea, 2014–2015

Social Preferences for Orphan Drugs: A Discrete Choice Experiment Among the French General Population

VASMA Weighting: Survey-Based Criteria Weighting Methodology that Combines ENTROPY and WASPAS-SVNS to Reflect the Psychometric Features of the VAS Scales

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