Details of the analytic hierarchy process technique for the evaluation of health insurance companies

Abstract

One of the most important features to be considered by health service providers when developing and promoting their products (or services) is the consumers' perception of their products' (services') attributes. The purpose of this study is to define the hierarchy for the attributes of services developed by major health plan operators in the city of Curitiba (PR) as perceived their consumers. The classical analytical hierarchy process (AHP) technique, a multicriteria tool for decision analysis and planning, was used to analyze seven companies and six attributes of each of them. The results show that the most meaningful attribute for health service consumers is the "price" and that companies can be separated into the following groups: HP1 and HP2 (Health Plans 1 and 2, with approximately 23% and 19% of consumers preferring each one) and HP3, HP4, HP5, HP6 and HP7 (with approximately 10% of consumers preferring each). Based on the results for each attribute analyzed, the conditions exist for the companies to redefine their structures, processes, prices, and service providers to reach their target customers.

Prioritization of occupational health and safety indicators using the Fuzzy-AHP method

“…These methods have been successfully applied in different fields of knowledge, such as in cases of the selection of an emergency care unit location (Briozo & Musetti, 2015), selection of commercial land (Brandalise et al, 2019), in the selection and evaluation of suppliers (Ho et al, 2010), and also used for the selection of performance indicators (Infante et al, 2017;Kumar et al, 2017). Among the known methods can be mentioned the Analytic Hierarchy Process -AHP, the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), the multi-attribute utility theory method (MAUT), among others (Kumar et al, 2017;Wollmann et al, 2014).…”

The Strategic Decision-Making as a Complex Adaptive System: A Conceptual Scientific Model

“…To ensure the consistency of the preference matrices, a method developed by Davoodi [31] and Wollmann et al [22] was adopted, which suggests that the preference matrix is unfolded in " " provisory matrices, but each one has as a reference one of the columns of the original matrix, and the other elements can be determined proportionally. From these " " matrices, a matrix (preference matrix) will be obtained, and it will always be consistent.…”

Priorización Multicriterio de Mercados Potenciales de Comercio Justo

“…El presente estudio tiene por objetivo priorizar los principales mercados internacionales demandantes de productos agroalimentarios Comercio Justo para la IV Región, mediante la utilización del Proceso Analítico Jerárquico (AHP -Analytic Hierarchy Process). La programación multicriterio con el proceso AHP está estructurada para la toma de decisiones en entornos complejos, en los que se consideran varias variables o criterios para priorizar y seleccionar alternativas (Wollmann et al, 2014). El AHP ayuda a establecer el nivel de importancia entre los criterios y subcriterios definidos para la selección, incorporando tanto aspectos cualitativos como cuantitativos del pensamiento humano: los cualitativos para describir el problema y su jerarquía, y los cuantitativos para expresar los juicios y preferencias de manera concisa.…”