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2020 | 30 | 4 | 95-112

Article title

Stability of hospital rankings

Authors

Content

Title variants

Languages of publication

EN

Abstracts

EN
Many hospital rankings are based on algorithms and weights elicited by experts. The paper attempts to build rankings of Polish district hospitals using the TOPSIS method and to examine the sensitivity of the results to the changes in weights. We considered 11 large and 34 medium-sized hospitals. The criteria set consists of man-days total, profit/loss on sales, contract with the National Health Fund, return on assets (ROA) and return on equity (ROE). Because of this, rankings consider different spheres in which hospitals perform, including the financial aspect and their main goal, i.e., treating patients. The results show that despite the overall high similarity of rankings, the benchmarking based on rankings should be done with care as the positions of some individual hospitals changed to a great degree.

Keywords

Year

Volume

30

Issue

4

Pages

95-112

Physical description

Contributors

author
  • Department of Applied Econmics, Warsaw School of Economics, al. Niepodległości 162, 02-554 Warszawa, Poland

References

  • ADELMAN D., An efficient frontier approach to scoring and ranking hospital performance, Oper. Res., 2020, Published online in Articles in Advance 17 March 2020, DOI.org/10.1287/opre.2019.1972.
  • AFFUL-DADZIE E., NABARESEH S., KOMÍNKOVÁ OPLATKOVÁ Z., Fuzzy VIKOR Approach. Evaluating quality of internet health information, [In:] M. Ganzha, L. Maciaszek, M. Paprzycki (Eds.), Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, ACSIS, 2014, 2, 183–190.
  • AKCAN S., GŰLDES M., Integrated multicriteria decision-making methods to solve supplier selection problem. A case study in a hospital, J. Healthc. Eng., 2019, Article ID 5614892.
  • AMINI F., REZAEENOUR J., Ranking healthcare centers using fuzzy analytic hierarchy process and TOPSIS. Iranian experience, Int. J. Appl. Oper. Res., 2016, 6 (1), 25–39.
  • ARAUJO C., WANKE P., SIQUEIRA M., A performance analysis of Brazilian public health: TOPSIS and neural networks application, Int. J. Prod. Perform. Manage., 2018, 67 (9), 1526–1549.
  • BRANS J.P., MARESCHAL B., VINCKE P., How to select and how to rank projects: The PROMETHEE method for MCDM, Eur. J. Oper. Res., 1986, 24, 228–238.
  • BÜYÜKÖZKAN G., ÇIFÇI G., A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry, Expert Syst. Appl., 2012, 39 (3), 2341–2354.
  • CHEN C.-T., HUNG W.-Z., Evaluating the service quality of hospital by using TOPSIS with interval type-2 fuzzy sets, 2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY), Pingtung 2017, 1–5.
  • CHOLEWA-WIKTOR M., Efficiency in public hospitals, Studia Ekonomiczne Uniwersytetu Ekonomicznego w Katowicach, 2014, 180 (2), 44–54 (in Polish).
  • CHURCHMAN C.W., ACKOFF R.L., SMITH Jr. N.M., An approximate measure of value, J. Oper. Res. Soc. Am., 1954, 2 (2), 172–187.
  • DAVIS P., MILNE B., PARKER K., HIDER P., LAY-YEE R., CUMMING J., GRAHAM P., Efficiency, effectiveness, equity (E3). Evaluating hospital performance in three dimensions, Health Policy, 2013, 112, 19–27.
  • DU T., RAN L., LI J., CAO X., Multi-criteria decision-making based on efficiency measurement and empirical study: DEA-TOPSIS, Chinese J. Manage. Sci., 2017, 25 (7), 153–162.
  • HELLWIG Z., Application of the taxonomic method to the typological distribution of countries according to their level of development and the resources and structure of qualified personnel, Przegl. Stat., 1968, 4, 307–327 (in Polish).
  • HOSSEINI S.M., BAHADORI M., RAADABADI M., RAVANGARD R., Ranking hospitals based on the disasters preparedness using the TOPSIS technique in Western Iran, Hosp. Top., 2019, 97 (1), 23–31.
  • HWANG C.L., YOON K., Multiple attribute decision making. Methods and applications, Springer-Verlag, New York 1981.
  • KOLOCH G., KUSZEWSKI T., SZAPIRO T., On stability of educational rankings, [In:] T. Trzaskalik (Ed.), Multiple criteria decision making ’07, Wydawnictwo AE Katowice, Katowice 2009, 79–101.
  • KUKUŁA K., LUTY L., On the choice of a linear tidying method to assess waste management in Poland in spatial terms, Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie, Problemy Rolnictwa Światowego, 2018, 18 (2), 183–192 (in Polish).
  • LINGSMA H.F., STEYERBERG E.W., EIJKEMANS M.J.C., DIPPEL D.W.J., SCHOLTE O.P., REAMER W.J.M., VAN HOUWELINGEN H.C., Comparing and ranking hospitals based on outcome. Results from The Netherlands Stroke Survey, QJM-Int. J. Med., 2010, 103 (2), 99–108.
  • ŁAGOWSKI P., Financial analysis of key therapeutic entities in the Lower Silesian Voivodship, [In:] A. Ćwiąkała-Małys, E. Rutkowska-Tomaszewska (Eds.), Situation of an entrepreneur in post-crisis conditions, E-Wydawnictwo, Prawnicza i Ekonomiczna Biblioteka Cyfrowa, Faculty of Law, Administration and Economics of the University of Wrocław, Wrocław 2016, 135–149 (in Polish).
  • MUTLU M., TUZKAYA G., SENNAROĞLU B., Multi-criteria decision-making techniques for healthcare service quality evaluation. A literature review, Sigma J. Eng. Nat. Sci., 2017, 35 (3), 501–512.
  • NERMEND K., Multi-criteria and multidimensional analysis methods in decision support, Wydawnictwo Naukowe PWN, Warsaw 2017 (in Polish).
  • NOJSZEWSKA E., SIELSKA A., GOŁĄB-BEŁTOWICZ D., Report on the audit of the financial situation of county hospitals, Szklarska Poręba 2019, http://ozpsp.pl/wp-content/uploads/2019/09/Raport-sy tuacja-finans.-szpitali-Szklarska-Por%C4%99ba.pdf (in Polish).
  • PRĘDKIEWICZ K., PRĘDKIEWICZ P., WĘGRZYN M., Profitability of local government hospitals in Poland, Nauki Fin., 2014, 3 (20), 28–43 (in Polish).
  • QI A., PENG K., GAO Y., SHI D., Using weighted TOPSIS method to evaluate job performance of hospital clinical departments, Chinese J. Hosp. Stat., 2015, 22 (4), 264–266.
  • RAĐENOVIĆ Ž., VESELINOVIĆ I., Integrated AHP-TOPSIS method for the assessment of health management information systems efficiency, Econ. Themes, 2017, 55 (1), 121–142.
  • ROSZKOWSKA E., Rank ordering criteria weighting methods. A comparative overview, Optimum, Studia Ekon., 2013, 5 (65), 14–33.
  • ROY B., The outranking approach and the foundations of ELECTRE methods, [In:] C.A. Bana e Costa (Ed.), Readings in multiple criteria decision aid, Springer, Berlin 1990.
  • SAATY T., The analytic hierarchy process, McGraw-Hill, New York 1980.
  • SHAFII M., HOSSEINI S.M., ARAB M., ASGHARIZADEH E., FARZIANPOUR F., Performance analysis of hospital managers using fuzzy AHP and fuzzy TOPSIS. Iranian experience, Glob. J. Health Sci., 2016, 8 (2), 137–155.
  • SHAFII M., RAFIEI S., ABOOEE F., AMIN BAHRAMI M., NOUHI M., LOTFI F., KHANJANKHANI K., Assessment of service quality in teaching hospitals of Yazd University of Medical Sciences. Using multi-criteria decision making techniques, Osong Publ. Health Res. Persp., 2016, 7 (4), 239–247.
  • SIELSKA A., Multicriteria rankings of open-end investment funds and their stability, Oper. Res. Dec., 2010, 20 (1), 112–129.
  • TORKZAD A., BEHESHTINIA M., Evaluating and prioritizing hospital service quality, Int. J. Health Care Qual. Assur., 2019, 32 (2), 332–346.
  • TRIEMSTRA J.D., POEPPELMAN R.S., ARORA V.M., Correlations between hospitals’ social media presence and reputation score and ranking. Cross-sectional analysis, J. Med. Int. Res., 2018, 20 (11), e28.
  • TUZKAYA G., SENNAROGLU B., KALENDER Z.T., MUTLU M., Hospital service quality evaluation with IVIF-PROMETHEE and a case study, Soc.-Econ. Plan. Sci., Elsevier, 2019, 68 (C).
  • VÁCHOVÁ L., HAJDÍKOVÁ T., Evaluation of Czech Hospitals Performance Using MCDM Methods, [In:] Proceedings of the World Congress on Engineering and Computer Science, WCECS, San Francisco, USA, October 25–27, 2017, Vol. 2.
  • WANG C.‐H., CHOU H.-L., Assessment of patient safety management from human factors perspective. A fuzzy TOPSIS approach, Human Fact. Ergon. Manuf. Serv. Ind., 2015, 25 (5), 614–626.
  • WANKE P., AKTAS E., Efficiency of diabetes treatment, [In:] C. Kahraman, Y. Topcu (Eds.), Operations research applications in health care management, International Series in Operations Research and Management Science, Vol. 262, Springer, Cham 2018, 351–377.
  • WIELICKA-GAŃCZARCZYK K., The issue of using economic indicators in assessing the financial condition of medical entities, Zeszyty Naukowe Politechniki Śląskiej, Seria Organizacja i Zarządzanie, 2015, 78 (1928), 505–516 (in Polish).
  • http://www.cmj.org.pl/ranking/wyniki_2019/index.php?typ=zwonk (accessed March 2020).
  • https://rankingi.wprost.pl/szpitale (accessed March 2020).
  • https://www2.deloitte.com/content/dam/Deloitte/pl/Documents/Reports/pl_Ranking_szpitali_publicznych_2017.pdf (accessed March 2020).
  • R Core Team, R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna 2020, URL https://www.R-project.org/
  • Yazdi M.M., TOPSIS method for multiple-criteria decision making (MCDM). R package version 1.0, https://CRAN.R-project.org/package=topsis (accessed 20 April 2020).

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-4c3dc7b9-582f-46fe-bc76-d6fe73e49dfd
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