Assessing Hospital Logistics Preparedness During the Outbreak of Covid-19 : A Study of Thai Public Hospitals in Remote Areas
Main Article Content
Abstract
The hospital logistics operation is not about transportation; it's an entire operation that efficiently links two primary hospital operations, clinical and non-clinical services, aiming at the highest patient safety with a minimum total cost. The system is more complicated than it might seem, especially for Thai public hospitals in remote areas because of its location constraint. This paper aimed to assess the internal hospital logistics preparedness of 15 Thai public hospitals in remote locations of border cities in Thailand by using the World Health Organization's hospital readiness checklist for the COVID-19 guidebook. In-depth interviews and onsite operation observations were conducted at the hospitals during the rapid rise of the Omicron variant in Thailand. The result found a low preparedness score in five out of eight dimensions, including logistics coordination, IT, inventory management, forecasting, purchasing, storage area, transportation, and essential support services. Details of how the hospital prepared in each dimension are also discussed. The major contribution of this paper is exploring the challenges of public hospital internal logistics operations when implementing the recommended action by WHO, which received less attention from researchers compared to the study of hospitals in urban areas.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Abderrabi, F., Godichaud, M., Yalaoui, A., Yalaoui, F., Amodeo, L., Qerimi, A., & Thivet, E. (2020). Mathematical model for scheduling food production in hospital catering. IFAC-PapersOnLine, 53, 10670-10675. https://doi.org/10.1016/j.ifacol.2020.12.2837
Abdi, Z., Lega, F., Ebeid, N., & Ravaghi, H. (2022). Role of hospital leadership in combating the COVID-19 pandemic. Health Services Management Research, 35(1), 2–6. https://doi.org/10.1177/09514848211035620
Alharthy, A., Faqihi, F., Mhawish, H., Balhamar, A., Memish, Z. A., & Karakitsos, D. (2021). Configuring a hospital in the COVID-19 era by integrating crisis management logistics. Infection Control and Hospital Epidemiology, 42(7), 911–913. https://doi.org/10.1017/ice.2020.365
Araujo, R., Fernandes, J.M., Reis, L.P., & Beaulieu, M. (2023). Purchasing challenges in times of COVID-19: resilience practices to mitigate disruptions in the healthcare supply chain. Journal of Global Operations and Strategic Sourcing, 16(2), 368-396. https://doi.org/10.1108/JGOSS-04-2022-0026
Ariyaarpakamol, N. (2019). Urban-rural inequality in Thailand: Differences in characteristics or returns?. Kasetsart Journal of Social Sciences, 40(1), 32–39. Retrieved from https://so04.tci-thaijo.org/index.php/kjss/article/view/235313
Carpenter, D. M., Hastings, T., Westrick, S., Rosenthal, M., Mashburn, P., Kiser, S., Shepherd, J. G., & Curran, G. (2021). Rural community pharmacies' preparedness for and responses to COVID-19. Research in Social & Administrative Pharmacy, 17(7), 1327–1331. https://doi.org/10.1016/j.sapharm.2020.10.008
Cheng, Q., Argon, N. T., Evans, C. S., Liu, Y., Platts-Mills, T. F., & Ziya, S. (2021). Forecasting emergency department hourly occupancy using time series analysis. The American Journal of Emergency Medicine, 48, 177–182. https://doi.org/10.1016/ j.ajem.2021.04.075
Costa, F. F., & de Campos Vieira Abib, S. (2022). Direct transport versus inter-hospital transfer of trauma victims in the Brazilian Emergency Medical System. Trauma Case Reports, 45, 100743. https://doi.org/10.1016/j.tcr.2022.100743
Đapić, A., Novaković, Ž. and Milenkov, P. (2015). Hospital Logistics. In 2nd Logistics International Conference. Belgrade: LOGIC, 309-314.
Dhamanti, I., Rachman, T., Nurhaida, I., & Muhamad, R. (2022). Challenges in Implementing the WHO Hospital Readiness Checklist for the COVID-19 Pandemic in Indonesian Hospitals: A Qualitative Study. Journal Of Multidisciplinary Healthcare, 15, 1395–1402. https://doi.org/10.2147/JMDH.S362422
Gonzatto Junior, O. A., Nascimento, D. C., Russo, C. M., Henriques, M. J., Tomazella, C. P., Santos, M. O., Neves, D., Assad, D., Guerra, R., Bertazo, E. K., Cuminato, J. A., & Louzada, F. (2022). Safety-Stock: Predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic. Knowledge-Based Systems, 247, 108753. https://doi.org/10.1016/j.knosys.2022.108753
Hasachoo, N., Rodbundith, T. S., Sirisawat, P., & Jongsureyapart, C. (2023). Controlling schedule instability in hospital food production: A case of Thai public hospital in remote area. International Journal of Innovative Computing, Information and Control, 19(1), 239-253. https://doi.org/10.24507/ijicic.19.01.239
Jensen, P. H., Webster, E., & Witt, J. (2009). Hospital type and patient outcomes: An empirical examination using AMI readmission and mortality records. Health Economics, 18(12), 1440–1460. https://doi.org/10.1002/hec.1435
Kalaya, P., Termsuksawad, T., & Wasusri, T. (2019). Forecasting lumpy demand for planning inventory: The case of community hospitals in Thailand. Proceeding of 2019 IEEE international conference on industrial engineering and engineering management (IEEM), Macao, China.
Kalaya, P., Termsuksawad, P., Wasusri, T. (2023). Forecasting and inventory planning for irregular demand patterns: The case of community hospitals in Thailand. International Journal of Knowledge and Systems Science, 14(1). 1-21. http://doi.org/10.4018/IJKSS. 328678
Knight, P. H., Maheshwari, N., Hussain, J., Scholl, M., Hughes, M., Papadimos, T. J., Guo, W. A., Cipolla, J., Stawicki, S. P., & Latchana, N. (2015). Complications during intrahospital transport of critically ill patients: Focus on risk identification and prevention. International Journal of Critical Illness and Injury Science, 5(4), 256–264. https://doi.org/10.4103/2229-5151.170840
Kritchanchai, D. (2012). A framework for healthcare supply chain improvement in Thailand. Operations Supply Chain Management, 5(2), 103-113. http://doi.org/10.31387/oscm 0120080
Kritchanchai, D., Hoeur, S., & Engelseth, P. (2018). Develop a strategy for improving healthcare logistics performance. Supply Chain Forum: An International Journal, 19(1), 55-69. http://dx.doi.org/10.1080/16258312.2017.1416876.
Kritchanchai, D., Muangchoo, S., Tan, A. (2019). Improving the efficiency of healthcare supply chain in Thailand. International Journal of Electronic Healthcare, 10(4), 313-329. http://doi.org/10.1504/ijeh.2018.101452
Landry, S., & Beaulieu, M. (2002). La logistique hospitalière : Un remède aux maux du secteur de la santé?. Gestion, 26(4), 34-41. https://doi.org/10.3917/riges.264.0034
Lourenco García, S., Arcos González, P., Cuartas Álvarez, T., Lagunas Pardos, D., & Castro Delgado, R. (2020). Nurses' roles in emergency response coordination centers in Spain: a resource to consider. El rol del personal de enfermería en los centros coordinadores de urgencias de España: un elemento a considerar. Emergencias : Revista de la Sociedad Espanola de Medicina de Emergencias, 32(6), 409–412.
McLaren Z. M. (2022). Data-driven COVID-19 policy is more effective than a one-size-fits-all approach. Med, 3(10), 660–663. https://doi.org/10.1016/ j.medj.2022.09.006
Meephu, E., Arwatchananukul, S., & Aunsri, N. (2023). Enhancement of Intra-hospital patient transfer in medical center hospital using discrete event system simulation. PloS one, 18(4), e0282592. https://doi.org/10.1371/journal.pone.0282592
Montás, M. C., Klasa, K., van Ginneken, E., & Greer, S. L. (2022). Strategic purchasing and health systems resilience: Lessons from COVID-19 in selected European countries. Health Policy, 126(9), 853–864. https://doi.org/10.1016/ j.healthpol.2022.06.005
Moons, K., Waeyenbergh, G., & Pintelon, L. (2019). Measuring the logistics performance of internal hospital supply chains: A literature study. Omega, 82, 205-217. https://doi.org/ 10.1016/j.omega.2018.01.007
Ndhaief, N., Hajej, Z., & Rezg, N. (2019). An optimal planning for a laundromat system with a multiple linen type in a hospital supply chain under subcontractor consideration, IFAC-PapersOnLine, 52(13), 2213-2218. https://doi.org/10.1016/j.ifacol.2019.11.534
Neve, B. V., & Schmidt, C. P. (2022). Point-of-use hospital inventory management with inaccurate usage capture. Health Care Management Science, 25(1), 126–145. https://doi.org/10.1007/s10729-021-09573-1
Paek, S. C., Meemon, N., & Wan, T. T. (2016). Thailand's universal coverage scheme and its impact on health-seeking behavior. SpringerPlus, 5(1), 1952. https://doi.org/10.1186 /s40064-016-3665-4
Picone, G., Chou, S. Y., & Sloan, F. (2002). Are for-profit hospital conversions harmful to patients and to Medicare?. The Rand Journal of Economics, 33(3), 507–523. https://doi.org/10.2307/3087470
Redondo, E., Nicoletta, V., Bélanger, V., Garcia-Sabater, J. P., Landa, P., Maheut, J., Marin-Garcia, J. A., & Ruiz, A. (2023). A simulation model for predicting hospital occupancy for Covid-19 using archetype analysis. Healthcare Analytics, 3, 100197. https://doi.org/ 10.1016/j.health.2023.100197
Rocha, LA., & Rego, N. (2023). Reorganisation of the internal storage and distribution logistics in a hospital. Procedia Computer Science, 219, 1357-1364. https://doi.org/10. 1016/j.procs.2023.01.421
Rojas, F., Wanke, P., Bravo, F., & Tan, Y. (2021). Inventory pooling decisions under demand scenarios in times of COVID-19. Computers & industrial Engineering, 161, 107591. https://doi.org/10.1016/j.cie.2021.107591
Sanders, J. E., Chakare, T., Mapota-Masoabi, L., Ranyali, M., Ramokhele, M. M., Rozario, A. M., & McCollum, E. D. (2021). National hospital readiness for COVID-19 in Lesotho: evidence for oxygen ecosystem strengthening. Public Health Action, 11(4), 180–185. https://doi.org/10.5588/pha.21.0067
Shen Y. C. (2002). The effect of hospital ownership choice on patient outcomes after treatment for acute myocardial infarction. Journal of Health Economics, 21(5), 901–922. https://doi.org/10.1016/s0167-6296(02)00058-9
Supeekit, T., Somboonwiwat, T., Kritchanchai, D. (2015). Linking Hospital Supply Chain Processes and Performance to Identify Key Performance Indicator. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_97
Trenado Alvarez, J., Solà Muñoz, S., Campos Escala, O., Morales Alvarez, J. A., Azeli Jarosch, Y., & Jiménez Fabrega, X. (2023). Transfer support and coordination of critical patients during the COVID-19 pandemic by a regional command center. Medicina Intensiva, 47(5), 293–295. https://doi.org/10.1016/j.medine.2022.10.020
Tsiligianni, C., Tsiligiannis, A., & Tsiliyannis, C. (2023). A stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic laws. European Journal of Operational Research, 304(1), 42–56. https://doi.org /10.1016/j.ejor.2021.12.037
World Health Organization, Regional Office for Europe. (2020). Hospital readiness checklist for COVID-19 interim version February 24 2020. World Health Organization. Regional Office for Europe. https://apps.who.int/iris/handle/10665/333972
World Health Organization, Regional Office for the Western Pacific. (2015). The Kingdom of Thailand health system review. Health systems in Transition, 5(5), WHO Regional Office for the Western Pacific. https://apps.who.int/iris/handle/10665/208216