Publicação
The satisfaction of healthcare consumers: analysis and comparison of different methodologies
| Resumo: | Patient satisfaction and the factors influencing it are becoming a significant concern for health organizations and patients around the world. This study evaluates patients’ satisfaction regarding the inpatient service while tackling the existent literature gap on which method best suits the patient satisfaction analysis. We perform a methodological comparison (using factor analysis, structural equation modeling, ordinal logistic regression (OLR), and multicriteria satisfaction analysis (MUSA)) to contrast the different results from different methodologies. After implementing the methods, we concluded that, out of the eleven analyzed factors, seven influence satisfaction: accommodations, auxiliary staff, exams and treatments, medical staff, food quality, volunteering staff, and obtained information. Three were consistent for structural equation modeling and OLR: accommodations, exams and treatments, and health services. The outputs of MUSA were not compatible with the other methods. However, we concluded that the MUSA method is a good option when dealing with patient satisfaction studies since it provides insightful outputs that facilitate managers’ decision making and improve the provider’s performance efficiency. |
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| Autores principais: | Vieira, Inês |
| Outros Autores: | Ferreira, Diogo; Pedro, Maria Isabel |
| Assunto: | Patient Satisfaction; Quality of Healthcare; Factor Analysis; Structural Equation Modeling; Ordinal Logistic Regression; Multicriteria Satisfaction Analysis. |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | Patient satisfaction and the factors influencing it are becoming a significant concern for health organizations and patients around the world. This study evaluates patients’ satisfaction regarding the inpatient service while tackling the existent literature gap on which method best suits the patient satisfaction analysis. We perform a methodological comparison (using factor analysis, structural equation modeling, ordinal logistic regression (OLR), and multicriteria satisfaction analysis (MUSA)) to contrast the different results from different methodologies. After implementing the methods, we concluded that, out of the eleven analyzed factors, seven influence satisfaction: accommodations, auxiliary staff, exams and treatments, medical staff, food quality, volunteering staff, and obtained information. Three were consistent for structural equation modeling and OLR: accommodations, exams and treatments, and health services. The outputs of MUSA were not compatible with the other methods. However, we concluded that the MUSA method is a good option when dealing with patient satisfaction studies since it provides insightful outputs that facilitate managers’ decision making and improve the provider’s performance efficiency. |
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