Resumo
As avaliações de qualidade percebida baseadas no SERVQUAL costumam ser resumidas em médias que podem ocultar heterogeneidade e problemas de qualidade de resposta. Este estudo transversal avaliou a qualidade percebida em um centro privado de especialidades de Machala, Equador, mediante análise multivariada e segmentação. Analisaram-se 90 questionários (30 itens, cinco dimensões) com coeficientes de confiabilidade, correlações de Spearman, componentes principais e K-means, validado com bootstrap, Ward e exclusão de respostas invariantes. A consistência interna foi elevada (α = ω = 0,990) e o primeiro componente explicou 91,7% da variância. A solução de três estratos (19, 41 e 30 participantes) coincidiu com a segmentação da pontuação global (ARI = 1,000); ao excluir as respostas invariantes (32,2%), o Silhouette favoreceu dois estratos. O tempo de espera foi o item pior avaliado no estrato crítico (média = 2,42). Os estratos representam níveis de uma percepção global, sensíveis à qualidade de resposta.
Referências
Altuntas, S., Dereli, T., & Erdogan, Z. (2022). Evaluation of service quality using SERVQUAL scale and machine learning algorithms: A case study in healthcare. Kybernetes, 51(2), 846–875. https://doi.org/10.1108/K-10-2020-0649
Anderson, R. T., Camacho, F. T., & Balkrishnan, R. (2007). Willing to wait?: The influence of patient wait time on satisfaction with primary care. BMC Health Services Research, 7. https://doi.org/10.1186/1472-6963-7-31
Awrahman, B. J., Aziz Fatah, C., & Hamaamin, M. Y. (2022). A review of the role and challenges of big data in healthcare informatics and analytics. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/5317760
Babakus, E., & Boller, G. W. (1992). An empirical assessment of the SERVQUAL scale. Journal of Business Research, 24(3), 253–268. https://doi.org/10.1016/0148-2963(92)90022-4
Babakus, E., & Mangold, W. G. (1992). Adapting the SERVQUAL scale to hospital services: An empirical investigation. Health Services Research, 26(6), 767–786.
Banda, S., Nkungula, N., Chiumia, I. K., Rylance, J., & Limbani, F. (2023). Tools for measuring client experiences and satisfaction with healthcare in low- and middle-income countries: A systematic review of measurement properties. BMC Health Services Research, 23. https://doi.org/10.1186/s12913-023-09129-9
Becerra-Canales, B., Chávez-Espinoza, J. H., Soto-Cárdenas, A. J., Castillo-Romero, P. C., Chávez-Gálvez, O. E., & Puertas-Anicama, V. F. (2024). Calidad del trato al paciente y satisfacción con el servicio de atención primaria. Ciencia y Enfermería, 30. https://doi.org/10.29393/CE30-27CTBV60027
Becerra-Canales, B., & Condori-Becerra, A. (2019). Satisfacción de usuarios en hospitales públicos: experiencia del plan «Cero Colas» en Ica, Perú. Revista Peruana de Medicina Experimental y Salud Pública, 36(4), 658–663. https://doi.org/10.17843/rpmesp.2019.364.4299
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
Bleustein, C., Rothschild, D. B., Valen, A., Valatis, E., Schweitzer, L., & Jones, R. (2014). Wait times, patient satisfaction scores, and the perception of care. American Journal of Managed Care, 20(5), 393–400.
Caliński, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics, 3(1), 1–27. https://doi.org/10.1080/03610927408827101
Cioffi, A., Ślęzak, D., Robakowska, M., Makanga, P. T., Aleaddini, F., & Cecannecchia, C. (2023). Editorial: Perspectives and opinions in health services: 2022. Frontiers in Health Services, 3. https://doi.org/10.3389/frhs.2023.1295810
Cronin, J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, 56(3), 55–68. https://doi.org/10.1177/002224299205600304
Datt, M., Gupta, A., & Misra, S. K. (2025). Advances in management of healthcare service quality: A dual approach with model development and machine learning predictions. Journal of Advances in Management Research, 22(4), 675–701. https://doi.org/10.1108/JAMR-07-2024-0251
Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1(2), 224–227. https://doi.org/10.1109/TPAMI.1979.4766909
Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743–1748. https://doi.org/10.1001/jama.1988.03410120089033
Doyle, C., Lennox, L., & Bell, D. (2013). A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open, 3(1). https://doi.org/10.1136/bmjopen-2012-001570
Duque Oliva, E. J., Palacios Palacios, D., & Córdoba Rodríguez, J. E. (2023). Evaluación de la calidad percibida del servicio en los centros asistenciales de la ciudad de Quibdó. Revista EAN, (94). https://doi.org/10.21158/01208160.n94.2023.3752
Eguez Morales, J., Santistevan Villacreses, K., Sornoza-Parrales, D., & Parrales Poveda, M. L. (2025). Calidad del servicio y satisfacción del paciente: Modelo SERVQUAL en el Centro de Salud Jipijapa, Ecuador. Revista de Ciencias Sociales, 31(4), 447–459. https://doi.org/10.31876/rcs.v31i4.44873
Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(4), 36–44. https://doi.org/10.1108/EUM0000000004784
Hayes, A. F., & Coutts, J. J. (2020). Use omega rather than Cronbach’s alpha for estimating reliability. But… Communication Methods and Measures, 14(1), 1–24. https://doi.org/10.1080/19312458.2020.1718629
Hernández-Vásquez, A., Rojas-Roque, C., Prado-Galbarro, F. J., & Bendezu-Quispe, G. (2019). Satisfacción del usuario externo con la atención en establecimientos del Ministerio de Salud de Perú y sus factores asociados. Revista Peruana de Medicina Experimental y Salud Pública, 36(4), 620–628. https://doi.org/10.17843/rpmesp.2019.364.4515
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193–218. https://doi.org/10.1007/BF01908075
Ibrahim, M. S. (2020). Validating service quality (SERVQUAL) in healthcare: Measuring patient satisfaction using their perceptions in Jordan. Journal of Information & Knowledge Management, 19(1). https://doi.org/10.1142/S0219649220400213
Igolkina, A. A., & Meshcheryakov, G. (2020). semopy: A Python package for structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 27(6), 952–963. https://doi.org/10.1080/10705511.2020.1704289
Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2065). https://doi.org/10.1098/rsta.2015.0202
Jonkisz, A., Karniej, P., & Krasowska, D. (2021). SERVQUAL method as an “old new” tool for improving the quality of medical services: A literature review. International Journal of Environmental Research and Public Health, 18(20). https://doi.org/10.3390/ijerph182010758
Kim, Y., Dykema, J., Stevenson, J., Black, P., & Moberg, D. P. (2019). Straightlining: Overview of measurement, comparison of indicators, and effects in mail–web mixed-mode surveys. Social Science Computer Review, 37(2), 214–233. https://doi.org/10.1177/0894439317752406
Lee, P.-C., Liang, L.-L., Huang, M.-H., & Huang, C.-Y. (2022). A comparative study of positive and negative electronic word-of-mouth on the SERVQUAL scale during the COVID-19 epidemic: Taking a regional teaching hospital in Taiwan as an example. BMC Health Services Research, 22. https://doi.org/10.1186/s12913-022-08930-2
Liu, C., Li, Y., Fang, M., & Liu, F. (2023). Using machine learning to explore the determinants of service satisfaction with online healthcare platforms during the COVID-19 pandemic. Service Business, 17(2), 449–476. https://doi.org/10.1007/s11628-023-00535-x
Liu, T., Yu, H., & Blair, R. H. (2022). Out-of-bag stability estimation for k-means clustering. Statistical Analysis and Data Mining: The ASA Data Science Journal, 15(6), 781–796. https://doi.org/10.1002/sam.11593
Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. Psychological Methods, 17(3), 437–455. https://doi.org/10.1037/a0028085
Morales-Garrido, A., Valderrama-Pazos, B., García-Carranza, J., Horna-Velásquez, A., Reyes-Anticona, W., Estela-Vargas, A., & Rojas-Villacorta, W. (2025). Quality and satisfaction in health care: A case study of two public hospitals in Trujillo, Peru. International Journal of Environmental Research and Public Health, 22(7). https://doi.org/10.3390/ijerph22071119
Moraros, J., Lemstra, M., & Nwankwo, C. (2016). Lean interventions in healthcare: Do they actually work? A systematic literature review. International Journal for Quality in Health Care, 28(2), 150–165. https://doi.org/10.1093/intqhc/mzv123
Murillo, J. P., Bellido-Boza, L., Huamani-Ñahuinlla, P., Garnica-Pinazo, G., Munares-García, O., & Del-Carmen, J. (2019). Satisfacción y tiempo de espera de usuarios de establecimientos de salud peruanos: análisis secundario de ENSUSALUD 2014-2016. Anales de la Facultad de Medicina, 80(3), 288–297. https://doi.org/10.15381/anales.803.16846
Naiker, U., FitzGerald, G., Dulhunty, J. M., & Rosemann, M. (2018). Time to wait: A systematic review of strategies that affect out-patient waiting times. Australian Health Review, 42(3), 286–293. https://doi.org/10.1071/AH16275
Nurmeksela, A., Kulmala, M., & Kvist, T. (2023). Patient satisfaction—Results of cluster analysis of Finnish patients. BMC Health Services Research, 23. https://doi.org/10.1186/s12913-023-09625-y
Okuda, M., Yasuda, A., & Tsumoto, S. (2021). An approach to exploring associations between hospital structural measures and patient satisfaction by distance-based analysis. BMC Health Services Research, 21. https://doi.org/10.1186/s12913-020-06050-3
Oloya-Salazar, P., Alayo-Ruiz, E., Vallejos-Salas, K., Ruiton-Castillo, M., Peña-López, J., Anicama-Ramirez, K., & Rojas-Villacorta, W. (2026). Public and private healthcare service quality in Trujillo, Peru: Evidence from a SERVQUAL survey. Healthcare, 14(6). https://doi.org/10.3390/healthcare14060738
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41–50. https://doi.org/10.1177/002224298504900403
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
Piovani, D., & Bonovas, S. (2022). Real world—big data analytics in healthcare. International Journal of Environmental Research and Public Health, 19(18). https://doi.org/10.3390/ijerph191811677
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
Rahim, A. I. A., Ibrahim, M. I., Musa, K. I., Chua, S.-L., & Yaacob, N. M. (2021). Patient satisfaction and hospital quality of care evaluation in Malaysia using SERVQUAL and Facebook. Healthcare, 9(10). https://doi.org/10.3390/healthcare9101369
Rousseeuw, P. J. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53–65. https://doi.org/10.1016/0377-0427(87)90125-7
Simsekler, M. C. E., Alhashmi, N. H., Azar, E., King, N., Luqman, R. A. M. A., & Al Mulla, A. (2021). Exploring drivers of patient satisfaction using a random forest algorithm. BMC Medical Informatics and Decision Making, 21. https://doi.org/10.1186/s12911-021-01519-5
Streiner, D. L. (2003). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80(1), 99–103. https://doi.org/10.1207/S15327752JPA8001_18
Subrahmanya, S. V. G., Shetty, D. K., Patil, V., Hameed, B. M. Z., Paul, R., Smriti, K., Naik, N., & Somani, B. (2022). The role of data science in healthcare advancements: Applications, benefits, and future prospects. Irish Journal of Medical Science, 191(4), 1473–1483. https://doi.org/10.1007/s11845-021-02730-z
Suco-Guerrero, I. I., & Zambrano-Santos, R. O. (2025). Aplicación del modelo SERVQUAL para medir la satisfacción del usuario en la atención administrativa sanitaria. Journal of Economic and Social Science Research, 5(4), 1–17. https://doi.org/10.55813/gaea/jessr/v5/n4/214
Tanantong, T., Pannakkong, W., Chemkomnerd, N., & Boonkwan, P. (2026). Interpretable SHAP-based machine learning framework for patient satisfaction prediction: A case study in Thammasat University Hospital. BMC Medical Informatics and Decision Making, 26. https://doi.org/10.1186/s12911-026-03647-2
Torain, M. J., Bennett, G. G., Matsouaka, R. A., Olsen, M. K., Yang, H., Bolton, J. H., Johnson, K. S., & Svetkey, L. P. (2021). The patient’s point of view: Characterizing patient-level factors associated with perceptions of health care. Health Equity, 5(1), 457–465. https://doi.org/10.1089/heq.2021.0062
Villa-Velásquez, J., Araya, A.-X., Reynaldos-Grandón, K., Rivera-Rojas, F., & Valencia-Contrera, M. (2023). Evaluación del modelo de calidad de Donabedian en base a los criterios de Chinn y Kramer. Horizonte de Enfermería, 34(2), 203–215. https://doi.org/10.7764/Horiz_Enferm.34.2.203-215
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237

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