Statistical analysis of waiting time of patients by queuing techniques: case study of large hospital in Pakistan
The purpose of this empirical research was to analyze the comfortable waiting time (CWT) of patients at the outpatient department (OPD) of Gastrology of ABC hospital of Karachi. It is based on the analysis of CWT of patients who were being served at the OPD of Gastrology of ABC hospital of Karachi. The data was collected by the help of questionnaire. Altogether 250 questionnaires were distributed among the patients, 210 of them were collected back and 10 of them were incompletely filled. Data was analysed in the statistical package for social sciences (SPSS) version 22. Data analysis included frequency distribution of various demographics;stratification tables were made for the comparison of CWT across various demographics. Results indicated that more females (old aged) had greater CWT in the comparison of males. It is found that the mean CWT of patients decreased with decreasing age, increasing OPD visiting time and increasing income. It is also found that he mean CWT for the patients from Afghanistan was greater than the patients from other regions i.e. Baluchistan, interior Sindh and Karachi. The authors highlighted that when patients arrive at the hospital and wait for their service, in this scenario, waiting cost is associated with their waiting time; since it is the matter of cost, thus it should be known to the hospital that if patients are made to wait longer, it can lead to the customer dissatisfaction. In this regard, analysis of comfortable waiting time of patients was extremely needed. Since, Karachi is the biggest city of Pakistan and targeted hospital is one the biggest private hospitals of Karachi and in the analysis of this paper. Only 200 patients were approached for data collection which is the main limitation of the paper. In future, the researchers should also focus on the same OPD for more responses and at the same time, other departments can also be targeted for conclude better and precise results. The authors have tried to focus on the CWT of patients so that the waiting capacity of patients could be highlighted. At the same time, detailed analysis was conducted across demographics so that their influence on CWT could be analysed.
Aburayya, A., Alshurideh, M., Albqaeen, A., Alawadhi, D., & Al A'yadeh, I. (2020). An investigation of factors affecting patients waiting time in primary health care centers: An assessment study in Dubai. Management Science Letters, 10(6), 1265-1276. https://doi.org/10.5267/j.msl.2019.11.031
Agyei, W., Asare-darko, C., & Odilon, F. (2015). Modeling and Analysis of Queuing Systems in Banks: A case study of Ghana Commercial Bank Ltd. Kumasi Main Branch. International Journal of Scientific & Technology Research, 4(07), 160-163.
Akbari, A.H., RankuUuwa, W., & Kiani, A.K. (2009). Demand for public health care in Pakistan. Pakistan Development Review, 48(2), 141-153. https://doi.org/10.30541/v48i2pp.141-153
Arain, M.S., Khan, M.A., & Kalwar, M.A. (2020). Optimization of Target Calculation Method for Leather Skiving and Stamping: Case of Leather Footwear Industry. International Journal of Education and Management Studies, 7(1), 15-30. https://www.questia.com/library/journal/1P3-4312702391/influence-of-organizational-climate-on-job-performance
Ahmad, B A., Khairatul, K., & Farnaza, A. (2017). An assessment of patient waiting and consultation time in a primary healthcare clinic. Malaysian family physician: the official journal of the Academy of Family Physicians of Malaysia, 12(1), 14-21.
Armony, M., Israelit, S., Mandelbaum, A., Marmor, Y.N., Tseytlin, Y., & Yom-Tov, G.B. (2015). On patient flow in hospitals: a data-based queueing-science perspective. Stochastic Systems, 5(1), 146-194. https://doi.org/10.1214/14-SSY153
Asadi-Lari, M., Tamburini, M., & Gray, D. (2004). Patients' needs, satisfaction, and health related quality of life: towards a comprehensive model. Health and Quality of Life Outcomes, 2(1), 32. https://doi.org/10.1186/1477-7525-2-32
Basu, S., Andrews, J., Kishore, S., Panjabi, R., & Stuckler, D. (2012). Comparative performance of private and public healthcare systems in low- and middle-income countries: A systematic review. PLoS Medicine, 9(6). https://doi.org/10.1371/journal.pmed.1001244
Bergman, A. (2011). Health and Social Work-Private Secotr hospitals.
Burström, L., Starrin, B., Engström, M.L., & Thulesius, H. (2013). Waiting management at the emergency department - a grounded theory study. BMC Health Services Research, 13(1), 1-10. https://doi.org/10.1186/1472-6963-13-95
Constanzo, F., Aracena-Sherck, P., Hidalgo, J.P., Peña, L., Marrugo, M., Gonzalez, J., Vergara, G., & Alvarado, C. (2020). Contribution of a synchronic teleneurology program to decrease the patient number waiting for a first consultation and their waiting time in Chile. BMC Medical Informatics and Decision Making, 20(1), 1-9. https://doi.org/10.1186/s12911-020-1034-2
Dong, J., Yom-tov, E., & Yom-tov, G.B. (2015). The Impact of Delay Announcements on Hospital Network Coordination and Waiting Times.
Ekpe, E.E., & Peter, A.I. (2016). Surgical patient's satisfaction with services at a tertiary hospital in south -south state of Nigeria. The Journal of Medical Research Research Article JMR, 2(25), 157-162. Accessible at http://www.medicinearticle.com/JMR_201625_08.pdf
Goienetxea Uriarte, A., Ruiz Zúñiga, E., Urenda Moris, M., & Ng, A.H.C. (2015). System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization. Journal of Physics: Conference Series, 616(1), 12-15. https://doi.org/10.1088/1742-6596/616/1/012015
Green, L. (2011). Queueing theory and modeling. In Handbook of healthcare delivery systems. Ed. Yuehwern Yih. London: Taylor & Francis. (pp. 1-22).
Gunal, M.M. (2012). A guide for building hospital simulation models. Health Systems, 1(1), 17-25. https://doi.org/10.1057/hs.2012.8
Haghighinejad, H.A., Kharazmi, E., Hatam, N., Yousefi, S., Ali Hesami, S., Danaei, M., & Askarian, M. (2016). Using Queuing Theory and Simulation Modelling to Reduce Waiting Times in An Iranian Emergency Department. IJCBNM January, 44(11), 11-26.
Imahsunu, A.F. (2007). Queuing Theory For Healthcare Operations Management: A Case Study of University of Benin Health Center and Faith Mediplex.
Juhana, D., Manik, E., Febrinella, C., & Sidharta, I. (2015). Empirical Study on Patient Satisfaction and Patient Loyalty on Public Hospital in Bandung, Indonesia. International Journal of Applied Business and Economic Research, 13(6), 4305-4326.
Kalwar, M.A., & Khan, M.A. (2020a). Increasing Performance of Footwear Stitching Line by Installation of Auto-Trim Stitching Machines. Journal of Applied Research in Technology & Engineering, 1(1), 31-36. https://doi.org/10.4995/jarte.2020.13788
Kalwar, M.A., & Khan, M.A. (2020b). Optimization of Procurement & Purchase Order Process in Foot Wear Industry by
Using VBA in Ms Excel. International Journal of Business Education and Management Studies, 5(2), 80-100.
Kalwar, M.A., Khan, M.A., Shaikh, S.A., Salam, A., Memon, M.S., & Khaskheli, S.A. (2020a). Aggressive Driving Behavior: A Case Study of Mehran UET,. Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, 2350-2359.
Kalwar, M.A., Khaskheli, S.A., Khan, M.A., Siddiqui, A.A., & Gopang, M.A. (2018). Comfortable Waiting Time of Patients at the OPD with Varying Demographics. Industrial Engineering Letters, 8(2), 20-27.
Kalwar, M.A., Mari, S.I., Memon, M.S., Tanwari, A., & Siddiqui, A.A. (2020b). Simulation Based Approach for Improving Outpatient Clinic Operations. Mehran University Research Journal of Engineering and Technology, 39(1), 153-170. https://doi.org/10.22581/muet1982.2001.15
Kembe, M.M., Onah, E.S., & Iorkegh, S. (2012). A Study of Waiting And Service Costs of A Multi- Server Queuing Model In A Specialist Hospital. International Journal of Scientific & Technology Research, 1(8), 19-23.
Khamis, K., & Njau, B. (2014). Patients' level of satisfaction on quality of health care at Mwananyamala hospital in Dar es Salaam, Tanzania. BMC Health Services Research, 14(400), 1-8. https://doi.org/10.1186/1472-6963-14-400
Khaskheli, S.A., Kalwar, M.A., Siddiqui, A.A., Nagar, M.A.K., & Wadho, T.H. (2018). Impatience Among Drivers With Varying Demographics. Professional Trends in Industrial and Systems Engineering, 465-469.
Khaskheli, S.A., Marri, H. B., Nebhwani, M., Khan, M.A., & Ahmed, M. (2020). Comparative Study of Queuing Systems of Medical Out Patient Departments of Two Public Hospitals. Proceedings of the International Conference on Industrial Engineering and Operations Management, 1913, 2702-2720.
Kumar, S., & Bano, S. (2017). Comparison and Analysis of Health Care Delivery Systems: Pakistan versus Bangladesh. Journal of Hospital & Medical Management, 03(01), 1-7. https://doi.org/10.4172/2471-9781.100020
Mashhadi, S.F., Hamid, S., Roshan, R., & Fawad, A. (2016). Healthcare in Pakistan-A Systems Perspective. Pak Armed Forces Medical Journal, 66(1), 136-142.
Mustafa, S., un Nisa, S. (2015). A Comparison of Single Server and Multiple Server Queuing Models in Different Departments of Hospitals. Punjab University Journal of Mathematics, 47(1), 73-80.
Musgrove, P., Creese, A., Preker, A., Baeza, C., Anell, A., & Prentice, T. (2000).The World Health Report 2000. Health Systems: Improving Performance. World Health Organization. https://www.who.int/whr/2000/en
Mwangi, S.K., & Ombuni, T.M. (2015). An empirical analysis of queuing model and queuing behaviour in relation to customer satisfaction at Jkuat Students Finance Office. American Journal of Theoretical and Applied Statistics, 4(4), 233-246. https://doi.org/10.11648/j.ajtas.20150404.12
Naseer, M., Zahidie, A., & Shaikh, B.T. (2012). Determinants of patient's satisfaction with health care system in Pakistan: a critical review. Pakistan Journal of Public Health, 2(2), 56-61.
Naz, A., Daraz, U., Khan, T., Khan, W., & Hussain, M. (2012). An Analytical Study Of Patients' Health Problems In Public Hospitals o Khyber Pakhtunkhwa Pakistan. International Journal of Business and Social Science, 3(5), 133-143.
Obamiro, J.K. (2010). Queuing Theory and Patient Satisfaction: An Overview of Terminology and Application in Ante-Natal Care Unit. Petroleum-Gas University of Ploiesti Bulletin, LXII(1), 1-12.
Oche, M.O., & Adamu, H. (2013). Determinants of patient waiting time in the general outpatient department of a tertiary health institution in North Western Nigeria. Annals of Medical and Health Sciences Research, 3(4), 588-592. https://doi.org/10.4103/2141-9248.122123
Puoza, J.C., & Hoggar, E.K. (2014). Patients Flowin Health Care Centers: An Overview of Terminology and Application in the Out Patient Department (OPD) Julius. International Journal of Innovative and Applied Research, 2(9): 5-11.
Robertson, J. (2014). Waiting Time at the Emergency Department from a Gender Equality Perspective. University of Gothenburg.
Sajid, A., Ali, H., Rashid, M., & Raza, A. (2008). Impact of Process Improvement on Patient Satisfaction in Public Health Care Facility in Pakistan. Quality Management and Organizational Development, 481-494.
Shaikh, S., Jerrard, D., Witting, M., Winters, M., & Brodeur, M. (2012). How Long Are Patients Willing to Wait in the Emergency Department Before Leaving Without Being Seen. Western Journal of Emergency Medicine, 13(6), 463-467. https://doi.org/10.5811/westjem.2012.3.6895
Smirthwaite, G., Lundström, M., & Swahnberg, K. (2017). Doctors Doing Gender at Eye Clinics-Gender Constructions in Relation to Waiting Times for Cataract Extractions in Sweden. NORA - Nordic Journal of Feminist and Gender Research, 25(2), 107-125. https://doi.org/10.1080/08038740.2017.1345006
Surydana, L. (2017). Service Quality, Customer Value and Patient Satisfaction on Public Hospital in Bandung District, Indonesia. International Review of Management and Marketing, 7(2), 187-192.
Tandon, A., Murray, C.J., Lauer, J.A., Evans, D.B. (2002). Measuring health system performance for 191 countries. World Health Organization. GPE Discuss. Pap. Ser. No. 30. Available from: http://www.who.int/healthinfo/paper30.pdf
The World Bank. (2006). The World Bank Annual Report 2006.
Umar, I., Oche, M.O., & Umar, A.S. (2011). Patient waiting time in a tertiary health institution in Northern Nigeria. Journal of Public Health and Epidemiology, 3(2), 78-82. http://www.academicjournals.org/jphe
Wang, T., Guinet, A., Belaidi, A., & Besombes, B. (2009). Modelling and simulation of emergency services with ARIS and Arena. case study: The emergency department of Saint Joseph and Saint Luc Hospital. Production Planning and Control, 20(6), 484-495. https://doi.org/10.1080/09537280902938605
Watkins, K. (2006). Human Development Report 2006 - Beyond scarcity: Power, poverty and the global water crisis. In United Nations Development Programme UNDP. http://hdr.undp.org/en/content/human-development-report-2006
WBG. (2015). Country Snapshot 100119.
Winston, W. (2004). Queuing Theory. Operations Research, 3, 1051-1144.
Yeddula, V.R. (2012). Healthcare Quality: Waiting Room Issues [University of Nebraska]. https://digitalcommons.unl.edu/imsediss/29
Yusuff, S.A. (2015). Analysis of Expected, Actual Waiting Time and Service Delivery: Evidence from Nigeria Banking Industry. The International Journal Of Humanities & Social Studies, 3(1), 398-402.
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