ELICIT: An alternative imprecise weight elicitation technique for use in multi-criteria decision analysis for healthcare

Abstract

Objective In this paper, the readers are introduced to ELICIT, an imprecise weight elicitation technique for multicriteria decision analysis for healthcare. Methods The application of ELICIT consists of two steps: the rank ordering of evaluation criteria based on decision-makers’ (DMs) preferences using the principal component analysis; and the estimation of criteria weights and their descriptive statistics using the variable interdependent analysis and the Monte Carlo method. The application of ELICIT is illustrated with a hypothetical case study involving the elicitation of weights for five criteria used to select the best device for eye surgery. Results The criteria were ranked from 1–5, based on a strict preference relationship established by the DMs. For each criterion, the deterministic weight was estimated as well as the standard deviation and 95% credibility interval. Conclusions ELICIT is appropriate in situations where only ordinal DMs’ preferences are available to elicit decision criteria weights.

Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps

“…2 b , we have a small dominance, since we have Canada [ 25 , 29 , 38 – 41 ]. Turkey [ 8 , 31 , 42 – 45 ] and USA [ 33 , 46 – 50 ] with six publications each, followed by China [ 10 , 51 – 54 ] and the Netherlands [ 21 , 55 – 58 ] with five publications each, and Spain [ 28 , 30 , 59 , 60 ] with four publications, with six countries accounting for 48% (thirty-two studies) of all publications by all thirty-three study countries.…”

“…Sci. Turkey Turkey Ranking Ranking Specialists FUZZY LOGIC- GRA Diaby et al [ 46 ] Expert Rev. Pharmacoecon.…”

Elicitation of Criteria Weights for Multicriteria Models: Bibliometrics, Typologies, Characteristics and Applications

“…The use of fuzzy logic is a classic example of the combination of techniques with the ultimate goal of attributing criteria weights (Yeh et al 1999;Liu et al 2012;Sotoudeh-Anvari and Sadi-Nezhad, 2015;Wang, 2014;Rowley et al 2015;Gitinavard et al 2016;Torfi et al 2010). Some procedures used statistical, algebraic, or both parameters, according to Diakoulaki et al (1995); Wang and Luo (2010), Deng et al (2002), Shannon and Weaver (1949), Diaby et al (2016); Chu et al (1979);and Chou (2013). Some methods applied weight substitution procedures (in which decision makers express the importance of criteria by means of an ordinal rank), as discussed in Stillwell et al (1981), Solymosi and Dombi (1986), Alfares and Duffuaa (2008), Barron (1992), and Larsson et al (2015).…”

“…The model involves sets of simultaneous linear algebraic equations. Diaby et al (2016) proposed the ELICIT model, which is based on two steps: ordering and criteria weight. In the first step, the criteria are ordered based on the preference of the decision makers by principal component analysis.…”

Multicriterial analysis for the prioritization of technological alternatives for POCT blood gas equipment procurement in a high-complexity healthcare institution

“…For this, the information is structured according to the following fields: names of the authors, title of the article, methodologies (HTA or mini-HTA or any other unspecified methodology), multi-criteria techniques and main assessment criteria (health problems and use of technology, description and technical characteristics, safety, clinical effectiveness, costs and economic evaluation, ethical analysis, organizational / institutional aspects and human resources, patient and social aspects, legal aspects, among others). In addition, 14 guidelines and methodologies proposed by international HTA agencies were reviewed, allowing the conceptualization of methodologies used internationally [11,12,16,23,24,30,31,[33][34][35][36][37][38][39][40][41][42][43][44].…”