EVALUATION OF BED UTILIZATION PERFORMANCE OF HOSPITAL DEPARTMENTS IN TURKEY WITH GREY RELATED ANALYSIS

Year 2019, , 173 - 183, 13.12.2019

Arzu Yiğit

https://doi.org/10.23884/ijhsrp.2019.4.3.03

Abstract

The aim of this study was to analyze the bed
utilization performance of hospital departments in Turkey with grey relational
method. Grey relational analysis was
used to determine the bed utılization performance levels of surgery and internal
clinics in Turkey. In this study, hospital performance indicators are used as
variables; bed occupancy rate, bed turnover rate and average length of stay.
Research data were obtained from the Statistical Report of Public Hospitals
Unions. Data were analyzed using MS Excel, SPSS 18 software. In this study, bed occupancy rate (%), average length of stay (day) and bed turnover
rate performance indicators of clinics were found to be 67.3; 5.6 and 63.4, respectively.
According to the grey relational analysis, the section with the most desirable
characteristics represents the sections with the highest scores. The highest grey relational grade score was found to be
obstetrics and gynecology (0.904) and the lowest score dermatology (0.474)
departments. In multidimensional analysis, it was evaluated in two
categories as efficient and inefficient in evaluating the bed use performance
of departments. Hospitals are the most resource-consuming element
of a health care system. The hospital's bed utilization performance has a
positive impact on the hospital's financial success.  A significant portion of the cost of
operating in hospitals is due to unnecessary patient hospitalization. In order
to reduce hospital costs, patient beds need to be used optimally. Hence, hospital
managers should regularly audit bed utilization.

Keywords

Hospital, Bed Utilization, Performance

References

• [1] Kanwar, V., Gupta. A.K., Goel, S., Gupta. P.D., “Hospital bed utilization : perceptions of healthcare practitioners”, International Journal of Hospital Research, 4 (3),113–118, 2015.
• [2] Kao, E. P. C., Tung, G.G., “Bed allocation in a public health care delivery system”, Management Science, 27(5):507–520, 1981.
• [3] Ajlouni M.M., Zyoud, A., Jaber, B., et al., “The relative efficiency of Jordanian public hospitals using data envelopment analysis and pabon lasso diagram”, Global Journal of Business Research, 7(2):59–73, 2013.
• . [4] Banu, N., Ashok, L., Malarout, N., et al., “Study of bed allocation and utilisation in a tertiary care teaching hospital in. Indian”, Journal of Public Health Research & Development, 9(8),143-48, 2018.
• [5] Hafidz, F., Ensor, T., Tubeuf, S., “Efficiency measurement in health facilities: a systematic review in low- and middle-income countries”, Applied Health Economics and Health Policy 16(4),465–80, 2018.
• [6] Belciug, S., Gorunescu, F., “Improving hospital bed occupancy and resource utilization through queuing modeling and evolutionary computation”, Journal of Biomedical Informatics, 53, 261-69, 2015.
• [7] Kavuncubaşı, Ş., Ersoy K,. “Technical efficiency measurement in hospitals”, Journal of Public Administration, 28: 77-92, 1995.
• [8] Hosseini, S.E., Ebrahimipour. H., Badiee. S., et al.. “Performance evaluation of mashhad university of medical sciences hospitals during 2006-2011 : Application of pabon lasso model”, Jentashapir J Heal Res, 7(4):1-6,2016, Doi: 10.17795/jjhr-33517.
• [9] Yiğit V, Ağırbaş İ. “Effect of capacity use ratio on costs in hospitals: An application in the Ministry of Health Tokat Maternity and Child Care Hospital”, Journal of Hacettepe Health Administration, 7 (2), 141-162, 2004.
• [10] Akcali, E., Cote, M. J., Lin, C., “A network flow approach to optimizing hospital bed capacity decisions”, Health Care Management Science, 9, 391-404, 2016, Doi 10.1007/s10729-006-0002-4
• [11] Ministry of Health, Public Hospitals Statistics Report, The General Directorate of Public Hospitals, Statistics, Analysis, Reporting And Strategic Management Department, 2017.
• [12] Lin, C., Wu, C., Chen, H.. “Selecting the location of hospitals in taiwan to ensure a competitive advantage via GRA”, The Journal of Grey System, 3, 263–274, 2006.
• [13] Wang, S., Ma Q, Guan, Z., “Measuring hospital efficiency in China using grey relational analysis and data envelopment analysis”. Proceedings of 2007 IEEE International Conference on Grey Systems and Intelligent Services, pp. 135–139, 2007.
• [14] Julong,, D., “Introduction to grey system theory”. The Journal of Grey System, 1(1), 1-24, 1989.
• [15] Hsiao, S.W., Tsai, H.C., “ Use of gray system theory in product-color planning”. Color Research & Application, 3(29),222–31, 2004.
• [16] Yağanoğlu A.M. Grey Relational Analysis and Fuzzy System Theory Use in Livestock. Atatürk University Graduate School of Natural and Applied Sciences Department of Animal Science Department of Biometer and Genetics, 2017.
• [17] Wu, H.H., “A comparative study of using grey relational analysis in multiple attribute decision making problems”, Quality Engineering, 15(2),209-217, 2002.
• [18] Zhai, L.Y., Khoo, L.P., Zhong Z.W., “Design concept evaluation in product development using rough sets and grey relation analysis”, Expert Systems with Applications, 36(3):7072–7079, 2009.
• [19] Chan, J.W.K., Ton, T.K.L., “Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach”. Materials and Design, 28(5),1539–1546, 2007
• [20] Yiğit V. “Analysis of clinical bed utilization effectiveness in hospitals with pabón lasso model”, International Journal of Health Management and Strategies Research, 3 (1), 64-174, 2017.
• [21] Yi̇ği̇t V., “Technical efficiency analysis in hospitals: an application of public hospitals association”, Journal of SDU Health Sciences Institute, 7 (2), 9–16, 2016.
• [22] Yiğit V., Esen H, “Performance measurement in hospitals with pabon lasso model and data envelopment analysis, SDU Journal of SDU Health Sciences Institute, 8 (2), 26-32, 2017.
• [23] Çalışkan, Z., “Analysis of public hospital unions performance with pabón lasso model”, Journal of Social Security, 10, 1-24, 2017.
• [24] Yıldız M.S,. “Evaluation of hospital bed utilization for 2002-2015 in Turkey: an implementation of pabon lasso methodology”, Journal of Hacettepe Health Administration, 20 (3), 347-356, 2017.
• [25] Imamgholi, S., Khatami Firouzabadi, S. M. A., Goharinezhad, S., et al., “Assessing the efficiency of hospitals by using pabon lasso graphic model”, Journal of Research and Health, 4(4), 890-897.2014
• [26] Aeenparast, A., Farzadi, F., Maftoon, F., Zandian, H.,Rezaei Yazdeli, M. “Quality of hospital bed performance studies based on Pabon Lasso Model”. International Journal of Hospital Research, 4(3), 143-148, 2015.
• [27] Yiğit V., Yiğit A., “Financial sustainability of university hospitals” Mehmet Akif Ersoy University Journal of Social Sciences Institute, 8 (16), 253-273, 2016.