Applying the fuzzy analytical hierarchy process for classifying and prioritizing healthcare quality attributes

Dinulescu, Ruxandra; Dobrin, Cosmin

doi:10.2478/mmcks-2022-0002

Cited by 3 publications

(1 citation statement)

References 58 publications

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“…The defuzzification procedure involves considering the best nonfuzzy performance (BNP) value, the fuzzy weight of a criterion, and the subsequent computation of the BNP value of the ultimate weight [114].…”

Section: Fuzzy Analytic Hierarchy Process (Fahp)mentioning

confidence: 99%

Evaluation of the Transport Environmental Effects of an Urban Road Network in a Medium-Sized City in a Developing Country

Auttha,

Klungboonkrong

2023

Sustainability

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A decision support model (DSM) involving a combination of five different prediction models for the environmental effects of transport and the powerful HMADM approach was introduced for the first time to assess the multiple criteria environmental effects of transport in an urban road network of the Khon Kaen Metropolitan Municipality (KKMM) in Khon Kaen City, Thailand. Five mathematical models were adopted to quantify the CO2 emissions (CO2Es), PM2.5 concentration (PM2.5C), CO concentrations (COCs), noise levels (NOLs), and pedestrian accident risk (PAR) values of all road segments in the study area. The FAHP, FSM, and TOPSIS were integrated into the HMADM to estimate the composite transport environmental effect scores (CTEESs) of each road segment. The FAHP was applied to determine the relative weights of each environmental criterion for three land use types, and the FSM was utilized to transform linguistic (fuzzy) scores into numerical (crisp) scores. Both the FAHP and FSM are principally used to deal with uncertain, incomplete, and ambiguous (fuzzy) information that appears during decision-making processes. Finally, TOPSIS was used to estimate the CTEESs of each road segment. An integrated DSM was applied to comprehend and evaluate each individual environmental criterion and the combined environmental criteria for each road segment in the study area. The DSM was employed to rank the problematic locations of all road segments. For instance, the ranking of the top 12 road segments with the greatest CTEESs was 75, 80, 48, 89, 76, 5, 64, 59, 60, 16, 65, and 62. In addition, this DSM can also be used to identify the possible causes of such locations and allocate limited government budgets for the implementation of appropriate remedial measures for resolving such environmental problems due to transport in an urban road network in the study area.

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Section: Fuzzy Analytic Hierarchy Process (Fahp)mentioning

confidence: 99%

Evaluation of the Transport Environmental Effects of an Urban Road Network in a Medium-Sized City in a Developing Country

Auttha,

Klungboonkrong

2023

Sustainability

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Evaluating digital health attributes for users’ satisfaction: an application of the Kano model

Cavacece,

Maggiore,

Resciniti

et al. 2024

TQM

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PurposeThe purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their impact on improving user satisfaction.Design/methodology/approachThrough a literature review and interviews with health professionals and patients, 20 attributes of digital health services provided in Italy have been identified. User satisfaction with these attributes has been evaluated by adopting the Kano model’s continuous and discrete analyses.FindingsThe findings reveal the essential attributes of digital health services that meet users' expectations, identify the attributes that users appreciate or dislike having and highlight unexpected attributes that lead to a significant boost in satisfaction when provided.Research limitations/implicationsThis study demonstrates the efficacy of the Kano model in assessing the nonlinear correlation between user satisfaction and the quality of digital health services, thus contributing to fill a gap in the literature in this area. The main limitation of this work is the use of a non-probabilistic sampling method.Practical implicationsThis research suggests healthcare institutions and organizations consider user preferences when designing digital health solutions to increase their satisfaction. The results indicate different effects on user satisfaction and dissatisfaction for different categories of attributes in the Italian context.Originality/valuePrevious works studied customer satisfaction with digital health, assuming a linear relationship with service quality, or investigated consumer adoption intentions focusing on the technological factors. This work advances available knowledge by analyzing the nonlinear relationship between digital health attributes and users’ satisfaction and dissatisfaction.

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Quality of care and patient satisfaction: Future trends and economic implications for the healthcare system

Perals,

Rambaud,

García

2024

Journal of Economic Surveys

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The healthcare system is a fundamental pillar for the economy of any country. One of its main goals is to reach an adequate effectiveness of medical care so that certain levels of well‐being are achieved. In recent years, healthcare has experienced important changes to take into account quality of care and patient satisfaction as the drivers of effectiveness and financial performance. In this sense, it is specifically important to bring together in a single document all aspects that participate in the quality of care and patient satisfaction relationship. The purpose of this paper is to analyze, organize, and synthesize all the theories, methodologies, factors, and variables that conform to this relationship. To achieve that, a systematic literature review of 90 articles is performed. The main contributions of this paper are to reveal all factors and aspects relevant for the quality of care and patient satisfaction binomial, and the classification of impactful articles, methodological and theoretical approaches, leading journals, and variables of interest that exist in quality of care and patient satisfaction research. Eventually, important research gaps and further research lines are highlighted.

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Applying the fuzzy analytical hierarchy process for classifying and prioritizing healthcare quality attributes

Cited by 3 publications

References 58 publications

Evaluation of the Transport Environmental Effects of an Urban Road Network in a Medium-Sized City in a Developing Country

Evaluation of the Transport Environmental Effects of an Urban Road Network in a Medium-Sized City in a Developing Country

Evaluating digital health attributes for users’ satisfaction: an application of the Kano model

Quality of care and patient satisfaction: Future trends and economic implications for the healthcare system

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