Development and Validation of a Customer Satisfaction Measuring Instrument with Laboratory Services at the University Hospital of Kinshasa, Democratic Republic of the Congo (DRC)
- 1 Department of Medical Biology, University Hospital of Kinshasa, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
- 2 Department of Mathematics and Informatics, Faculty of Sciences, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
- 3 Department of Health and Environment, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
- 4 Department of Tropical Medicine, University Hospital of Kinshasa, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
- 5 Department of Medical Biology, University Hospital of Kinshasa, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
- 6 Department of Dermatology and Infectiology, Faculty of Medical Sciences, Félix Houphouët Boigny University, Abidjan, Côte d’Ivoire
- 7 Department of Medical Biology, University Hospital of Kinshasa, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
- 8 Department of Internal Medicine, University Hospital of Kinshasa, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
Abstract
In clinical laboratory, monitoring customers’ satisfaction is required by laboratory quality standards, such as ISO15189:2012 and ISO17025:2017. However, there is no reliable and valid scale to measure clinical laboratory customers’ satisfaction in DRC. This study aims to develop a theoretical and operational instrument for measuring customer satisfaction with clinical laboratory services. In order to develop a reliable and valid measurement tool, the general methodological approach recommended by Churchill was followed. The developed questionnaire was checked for reliability and validity using exploratory and confirmatory factor analyses. Structural Equation Modeling (SEM) was used to determine whether the hypothesis of the conceptual framework is acceptable in measuring customer satisfaction. The Principal Component Analysis (PCA) results showed a three-dimensionality of Customer Satisfaction. Cronbachs alpha coefficients (0.983, 0.981 and 0.981), J ö reskog Rh ô (0.973, 0.970 and 0.967) and composite reliability values (0.95, 0.92 and 0.93) of the latent variables were greater than 0.9, which confirms the very high reliability of the model. Indicator loadings were all greater than the threshold of 0.7 or higher. Also, all the latent variables have average variance extracted (AVE) greater than 0.5, therefore, convergent validity has been achieved. Both the Maximum Shared Variance (0.195, 0.297 and 0.234) and the Average Shared Variance (0.805, 0.703 and 0.766) were lower than the AVE (0.897, 0.839 and 0.875) for all the constructs in the scale. Therefore, Discriminant validity has been achieved. Fit indices used to assess CFA and structural equation model were found to be at an acceptable level for the two- factor model where chi-square/df was 1.6, p = 0.476, GFI = 0.99, AGFI = 0.99, SRMR = 0.069, RMSEA < 0.001, CFI = 1, NFI = 0.98, RFI = 0.98, IFI = 0.98, TLI = 0.98. The instrument demonstrated acceptable psychometric properties and thus it fits for measuring customers’ satisfaction with laboratory services.
- Addis, Z., Birhan, W., Derseh, D. et al. (2013) Physicians’ and Nurses’ Satisfaction with the Clinical Laboratory Service of Gondar University Hospital, Northwest Ethiopia. American Journal of Clinical Pathology, 140, 324-328. https://doi.org/10.1309/AJCPU1PLVOIN5JQI
- Andrew, D. P. S., Pedersen, P. M., & McEvoy, C. D. (2011). Research Methods and Design in Sport Management. Champaign, IL: Human Kinetics. https://doi.org/10.5040/9781492596417
- Babakus, E., & Boller, G. W. (1992). An Empirical Assessment of the SERVQUAL Scale. Journal of Business Research, 24, 253-268. https://doi.org/10.1016/0148-2963(92)90022-4
- Bekele, A., Taye, G., Mekonnen, Y. et al. (2008). Levels of Outpatient Satisfaction at Selected Health Facilities in Six Regions of Ethiopia. Ethiopian Journal of Health Development, 22, 42-48. https://doi.org/10.4314/ejhd.v22i1.10061
- Brensinger, R. P., & Lambert, D. M. (1990). Can the SERVQUAL Scale Be Generalized to Business-to-Business Services? In A. Parasuraman, & W. Bearden (Eds.), Enhancing Knowledge Development in Marketing (p. 289). Chicago IL: AMA’s Summer Educators’ Conference Proceedings.
- Chandhok, N. (2019). Customer Plus: How to Stay Competitive in Age of Customer Service (238 p). Chennai: Notion Press.
- Chaudhary, S., Ameer, A., Anwar, M. R. et al. (2017). Patient Satisfaction with Anatomical Laboratory Services at a Tertiary Care Hospital. Pakistan Journal of Medical and Health Sciences, 11, 1531-1532.
- Churchill, G. A. (1979). A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research, 16, 64-73. https://doi.org/10.1177/002224377901600110
- Comrey, A. L., & Lee, H. B. (2016). A First Course in Factor Analysis (2nd ed.). New York: Routledge.
- Crosby, P. B. (1989). Let’s Talk Quality: 96 Questions You Always Wanted to Ask Phil Crosby (208 p). New York: McGraw-Hill.
- Frikha, A. (2019). Measurement in Marketing: Operationalization of Latent Constructs. London: ISTE Ltd. https://doi.org/10.1002/9781119671374
- George, D., & Mallery, P. (2016). IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference (14th ed.). New York: Routledge. https://doi.org/10.4324/9781315545899
- Hair, J. F., Black, W. C., Babin, B. J. et al. (2009). Análise Multivariada de Dados (6th ed., 147 p). Porto Alegre: Bookman.