Structural Equation Models Applied for Evaluating Service Quality and Satisfaction in the Healthcare System of Cartagena de Indias D. T. y C. (Colombia)

• Autorzy: Juan Carlos Vergara Schmalbach , Francisco Javier Maza Avila
• Języki publikacji: EN

Abstrakty

EN

This research attempts to answer which is the most recommended structural equation model (SEM) technique while evaluating healthcare services' quality in Cartagena de Indias city (Colombia). CB-SEM and PLS-SEM techniques were used in this paper for comparing the results in the local context. For assessment, robust weighted least squares with mean and variance adjustments (WLS) for CB-SEM technique and PLS-SEM with centroid scheme were utilized. Data were collected with a final valid sample of 582 adults aged over 18 years, residents of Cartagena city. Also used was a questionnaire designed in three parts: demographic profiles, quality perceptions (overall quality services, infrastructure, coverage, and access), and satisfaction levels. In terms of quality, the findings reveal that infrastructure and access have a significant effect on service quality levels and this variable has a strong effect on satisfaction for both techniques. In term of structural equation model (SEM) techniques, the results indicate that coverage does not present a significant effect on service quality only in CB-SEM technique. In this case, the positive association between coverage and overall services quality was rejected. Both techniques were validated with different results, concluding the applicability of CB-SEM and PLS-SEM in this context.(original abstract)

Słowa kluczowe

EN

Quality of services; Health care; Structural Equation Modeling

PL

Jakość usług; Opieka zdrowotna; Modelowanie równań strukturalnych

• Czasopismo: Economics & Sociology
• Rocznik: 2018
• Tom: 11
• Numer: nr 2
• Strony: 200--215

Twórcy

autor

Juan Carlos Vergara Schmalbach

• University of Cartagena, Cartagena, Colombia

autor

Francisco Javier Maza Avila

• University of Cartagena, Cartagena, Colombia

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Identyfikatory

DOI

10.14254/2071-789X.2018/11-2/14