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Growing Science » Healthcare Engineering » Examining the impact of total quality management and regulation on blood production

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Healthcare Engineering

ISSN 3115-8269 (Online) - ISSN 3115-8250 (Print)
Quarterly Publication
Volume 2 Issue 1 pp. 1-10 , 2026

Examining the impact of total quality management and regulation on blood production Pages 1-10 Right click to download the paper Download PDF

Authors: James Kaconco, Grace Otekat, Hannington Businge, Jennifer Rose Aduwo

DOI: 10.5267/j.he.2026.1.001

Keywords: Total quality management, Regulation, Blood production, Blood Bank, Uganda

Abstract: This study aims to examine total quality management, regulation, and blood production relationships of blood banks in Uganda. A structured questionnaire was used to collect data from 146 randomly selected respondents. The model was validated using Smart PLS-SEM analysis. The findings indicate that both total quality management and regulation have a significant and positive influence on blood production, accounting for a 17.8% variation at a 95% confidence interval. Regulation exhibited no mediation effect in the relationship between total quality management and blood production. Total quality management and regulation are essential factors enhancing blood production. Prioritizing total quality management practices in areas such as determining and meeting customer needs; customer and employee satisfaction surveys; and market research can optimize blood production. This study contributes to the blood bank management knowledge body and identifies areas to support blood production. Blood bank managers can apply these insights to improve operational performance.

How to cite this paper
Kaconco, J., Otekat, G., Businge, H & Aduwo, J. (2026). Examining the impact of total quality management and regulation on blood production.Healthcare Engineering, 2(1), 1-10.

Refrences
Akase, S. E., & Kpera, T. P. (2024). ENSURING ACCURACY , ENSURING LIFE ; A CRUCIAL ROLE OF QUALITY MANAGEMENT SYSTEMS IN MEDICAL LABORATORIES By AKASE SUGHNEN EMMANUEL And. ScienceOpen Preprint, November. https://doi.org/10.14293/PR2199.001258.v1 Asamoah, D. (2025). The role of health services regulation in healthcare delivery. 14(1), 1–8. Bititci, U. S., Ackermann, F., Ates, A., Davies, J. D., Gibb, S., MacBryde, J., MacKay, D., Maguire, C., Van Der Meer, R., & Shafti, F. (2011). Managerial processes: An operations management perspective towards dynamic capabilities. Production Planning and Control, 22(2), 157–173. https://doi.org/10.1080/09537281003738860 Bolcato, M., Russo, M., Trentino, K., Isbister, J., Rodriguez, D., & Aprile, A. (2020). Patient blood management: The best approach to transfusion medicine risk management. Transfusion and Apheresis Science, 59(4), 102779. https://doi.org/10.1016/j.transci.2020.102779 Booth, C., Allard, S., & Robinson, S. (2021). Blood transfusion. Medicine (United Kingdom), 49(4), 238–242. https://doi.org/10.1016/j.mpmed.2021.01.012 Boyd, B. K., Haynes, K. T., Hitt, M. A., Bergh, D. D., & Ketchen, D. J. (2012). Contingency hypotheses in strategic management research: Use, disuse, or misuse? In Journal of Management (Vol. 38, Issue 1). https://doi.org/10.1177/0149206311418662 Chandrashekar, S., & Kantharaj, A. (2014). Legal and ethical issues in safe blood transfusion. Indian Journal of Anaesthesia, 58(5). https://doi.org/10.4103/0019-5049.144654 Chejor, P. (2018). Blood and Blood Products Regulation in Bhutan: Progress and Challenges. Journal of Medical Science And Clinical Research, 6(5). https://doi.org/10.18535/jmscr/v6i5.182 Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Dei-Adomakoh, Y., Asamoah-Akuoko, L., Appiah, B., Yawson, A., & Olayemi, E. (2021). Safe blood supply in sub-Saharan Africa: challenges and opportunities. The Lancet Haematology, 8(10), e770–e776. https://doi.org/10.1016/S2352-3026(21)00209-X Forkmann, S., Henneberg, S. C., & Mitrega, M. (2018). Capabilities in Business Relationships and Networks: Research Recommendations and Directions. Industrial Marketing Management, 74, 4–26. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312 Fu, S., Wu, X. G., Zhang, L., Wu, L. F., Luo, Z. M., & Hu, Q. L. (2021). Service quality improvement of outpatient blood collection by lean management. Patient Preference and Adherence, 15, 1537–1543. https://doi.org/10.2147/PPA.S320163 Gonnade, N., Bajpayee, A., Elhence, A., Lokhande, V., Mehta, N., & Mishra, M. (2017). and using cord blood for transfusion Azikiwe University Teaching Hospital ,. 12(2), 105–111. https://doi.org/10.4103/ajts.AJTS Gupta, S., & Popli, H. (2018). Regulation of Blood and Blood products in India, USA and EU. International Journal of Drug Regulatory Affairs, 6(2), 72–84. https://doi.org/10.22270/ijdra.v6i2.246 Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109(December 2019), 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069 Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202 Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial Least Squares Structural Equation Modeling ( PLS-SEM ): An Emerging Tool in Business Research Partial least squares structural equation modeling ( PLS-SEM ) An emerging tool in business research. European Business Review, 26(No 2, 2024). https://doi.org/10.1108/EBR-10-2013-0128 Hamadneh, S., Pedersen, O., Alshurideh, M., Kurdi, B. Al, & Alzoubi, H. M. (2021). An Investigation Of The Role Of Supply Chain Visibility Into The Scottish Blood Supply Chain. Journal of Legal, Ethical and Regulatory Issues, 24(Special Issue 1), 1–12. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014 Hervig, T. A., Doughty, H. A., Cardigan, R. A., Apelseth, T. O., Hess, J. R., Noorman, F., Bohoněk, M., Yazer, M. H., Lu, J., Wendel, S., & Sparrow, R. L. (2021). Re-introducing whole blood for transfusion: considerations for blood providers. Vox Sanguinis, 116(2), 167–174. https://doi.org/10.1111/vox.12998 Irving, A. H., Harris, A., Petrie, D., Higgins, A., Smith, J., & McQuilten, Z. K. (2020). Impact of patient blood management guidelines on blood transfusions and patient outcomes during cardiac surgery. Journal of Thoracic and Cardiovascular Surgery, 160(2), 437–445.e20. https://doi.org/10.1016/j.jtcvs.2019.08.102 Kaconco, J., Nabuuma, B., Mugarura, T. J., & Irabira, J. B. (2024). Blood production factors affecting transfusion sustainability: A study by using smart PLS-SEM approach. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100247. https://doi.org/10.1016/j.joitmc.2024.100247 Kock, N. (2015). Common Method Bias in PLS-SEM. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101 Kothari, S. (2014). The Size Distribution of Manufacturing Plants and Development. IMF Working Papers, 14(236), 1. https://doi.org/10.5089/9781498334396.001 Mitrega, M., & Pfajfar, G. (2015). Business relationship process management as company dynamic capability improving relationship portfolio. Industrial Marketing Management, 46, 193–203. https://doi.org/10.1016/j.indmarman.2015.02.029 Noor Haslina Mohd Noor, et al. (2021). Blood Transfusion Knowledge among Nurses in Malaysia. International Journal of Environmental Research and Public Health., 18(11), 3–10. Obeagu, E. I., Anyanwu, C. N., & Obeagu, G. U. (2024). Challenges and Considerations in Managing Blood Transfusion for Individuals with HIV. Elite Journal of HIV, 2(2), 1–17. https://epjournals.com/journals/EJHIV Paganini, M., Abowali, H., Bosco, G., Balouch, M., Enten, G., Deng, J., Shander, A., Ciesla, D., Wilson, J., & Camporesi, E. (2021). Quality improvement project of a massive transfusion protocol (Mtp) to reduce wastage of blood components. International Journal of Environmental Research and Public Health, 18(1), 1–9. https://doi.org/10.3390/ijerph18010274 Rigdon, E. E. (2016). Choosing PLS path modeling as analytical method in European management research: A realist perspective. European Management Journal, 34(6), 598–605. https://doi.org/10.1016/j.emj.2016.05.006 Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.1416655 Romon, I., & Lozano, M. (2017). Quality indicators for transfusion medicine in Spain: A survey among hospital transfusion services. Blood Transfusion, 15(3), 207–214. https://doi.org/10.2450/2016.0018-16 Samukange, W. T., Kafere, C., Heinrich, K., Sabblah, G. T., Siame, M. M., Chirinda, L., Reinhardt, J., & Hilger, A. (2023). Strengthening Blood Regulatory Systems to Tackle Africa’s Unmet Needs for Blood and Blood Products. Transfusion Medicine and Hemotherapy, 50(2), 123–128. https://doi.org/10.1159/000528077 Sarsteddt, M., Ringle, C. M., & Hair, J. F. (2017). Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach. Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications, November, 1–414. https://doi.org/10.1007/978-3-319-64069-3 Shaikh, F. I. (2025). TOTAL QUALITY MANAGEMENT IN HEALTHCARE : ASSESSING ITS INFLUENCE ON CLINICAL LABORATORY WORK PERFORMANCE IN. 3(2), 173–185. Sibinga, C. T. S. (2017). Existing and recommended legislative framework for a national blood transfusion policy. Global Journal of Transfusion Medicine, 2(2), 89. https://doi.org/10.4103/gjtm.gjtm_35_17 Sibinga, C. T. S., & Hasan, F. (2020). Quality management or the need for a quality culture in transfusion medicine. Global Journal of Transfusion Medicine, 5(1), 9. https://doi.org/10.4103/gjtm.gjtm_74_19 Teece, D. J. (2007). EXPLICATING DYNAMIC CAPABILITIES : THE NATURE AND MICROFOUNDATIONS OF ( SUSTAINABLE ) ENTERPRISE PERFORMANCE. Strategic Management Journal, 1350(June), 1319–1350. https://doi.org/10.1002/smj Tran, Y., Zahra, S., & Hughes, M. (2019). A process model of the maturation of a new dynamic capability. Industrial Marketing Management, 83, 115–127. https://doi.org/10.1016/j.indmarman.2018.11.009 Venkatraman, N. (1989). The Concept of Fit in Strategy Research: Toward Verbal and Statistical Correspondence. Academy of Management Review, 14(3), 423–444. https://doi.org/10.5465/amr.1989.4279078 Wasko, M. M., & Faraj, S. (2013). MIS Quarterly. MIS Quarterly, 1000(c), 6556. Wong, K. K.-K. (2013). Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS. Marketing Bulletin, 24(1), 1–32. https://d1wqtxts1xzle7.cloudfront.net/39627062/2013_journal_10_PLS_MB-libre.pdf?1446527592=&response-content-disposition=inline%3B+filename%3DPartial_Least_Squares_Structural_Equatio.pdf&Expires=1702011101&Signature=J7LCkmCyQWVT70I~-n01JnGhxu2Pn1AZIuQyulM Zaefarian, G., Forkmann, S., Mitręga, M., & Henneberg, S. C. (2017). A Capability Perspective on Relationship Ending and Its Impact on Product Innovation Success and Firm Performance. Long Range Planning, 50(2), 184–199. https://doi.org/10.1016/j.lrp.2015.12.023
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Journal: Healthcare Engineering | Year: 2026 | Volume: 2 | Issue: 1 | Views: 192 | Reviews: 0

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