Retrospective Assessment of the Standardized Mortality Ratio as a Measure of the Quality of Care in a Major Intensive Care Unit in the Republic of Cyprus

Authors

  • Stelios Iordanou
  • Nicos Middleton
  • Elizabeth Papathanassoglou
  • Lakis Palazis
  • Vasilios Raftopoulos

DOI:

https://doi.org/10.1891/WFCCN-D-19-00012

Keywords:

standardized mortality ratio, ICU, quality of care, mortality rate, SMR

Abstract

Introduction: The standardized mortality ratio (SMR) is commonly used to assess the overall quality of care by comparing the observed hospital mortality with the mortality predicted by statistical models. If the observed deaths are less than the predicted, the overall quality of care can be considered high; in the opposite case, it is low.

Aim: The aim of the study was to assess the overall quality of care in an intensive care unit (ICU) during the period of 2012 to 2017. We also reported our experience and lessons learned throughout the surveillance period.

Methods: A retrospective study design was adopted. Healthcare-associated infections (HAI–ICU) protocol v1.1 was used in a major ICU for a period of 6 years. All patients admitted to the ICU during the surveillance period were included in the study. The SMR was measured.

Results: During the 6-year period, 1067 patients were admitted and remained hospitalized for more than 48 hours; 207 patients' discharge status was reported as “death”, compared to 309 deaths predicted based on the SAPS II score. The overall mean observed mortality rate during the study period was 19.4%, as opposed to 28.95% for the predicted mortality. The overall mean SMR was 0.62 (IQR 0.49-0.82). Difficulties were faced due to the lack of surveillance software, but they were overcome by the use of a freely available web-based form.

Conclusions: The overall quality of ICU care is considered to correspond to high-quality standards, since standardized mortality rates during the study period were lower than one. The use of the web-based form as an alternative solution to the surveillance software performed well in terms of recording data.

References

Allyn, J., Ferdynus, C., Bohrer, M., Dalban, C., Valance, D., & Allou, N. (2016). Simplified acute physiology score II as predictor of mortality in intensive care units: A decision curve analysis. PLOS ONE, 11(10), e0164828, 1–11. https://doi.org/10.1371/journal.pone.0164828

Aminiahidashti, H., Bozorgi, F., Montazer, S. H., Baboli, M., & Firouzian, A. (2017). Comparison of APACHE II and SAPS II scoring systems in prediction of critically ill patients' outcome. Emergency (Tehran, Iran), 5(1), e4. Retrieved fromhttp://www.ncbi.nlm.nih.gov/pubmed/28286811

Bouch, D. C., & Thompson, J. P. (2008). Severity scoring systems in the critically ill. Continuing Education in Anaesthesia Critical Care & Pain, 8(5), 181–185. https://doi.org/10.1093/bjaceaccp/mkn033

European Centre for Disease Prevention and Control. (2010). HelicsWin.Net (HWN). Retrievedhttps://www.ecdc.europa.eu/en/publications-data/helicswinnet-hwn

Halpern, N. A., Bettes, L., & Greenstein, R. (1994). Federal and nationwide intensive care units and healthcare costs: 1986–1992. Critical Care Medicine, 22(12), 2001–2007. Retrieved fromhttp://www.ncbi.nlm.nih.gov/pubmed/7988140

IBM SPSS Inc. (2012). SPSS Statistics for Windows 21, IBM Corp. Released 2012.

Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1985). APACHE II: A severity of disease classification system. Critical Care Medicine, 13(10), 818–829. https://doi.org/10.1097/00003465-198603000-00013

Kumar, P., Jithesh, V., & Gupta, S. (2016). A comparative cost analysis of polytrauma and neurosurgery Intensive Care Units at an apex trauma care facility in India. Indian Journal of Critical Care Medicine, 20(7), 398. https://doi.org/10.4103/0972-5229.186220

Lee, A., Cheung, Y. S. L., Joynt, G. M., Leung, C. C. H., Wong, W. T., & Gomersall, C. D. (2017). Are high nurse workload/staffing ratios associated with decreased survival in critically ill patients? A cohort study. Annals of Intensive Care, 7(1), 46. https://doi.org/10.1186/s13613-017-0269-2

Le Gall, J. R., Lemeshow, S., & Saulnier, F. (1993). Simplified Acute Physiology Score (SAPS II) Based on a European / North American multicenter study. JAMA, 270(24), 2957–2963. https://doi.org/10.1001/jama.270.24.2957

Loirat, J.-R. G. (1995). Current opinion in critical care. Current Opinion in Critical Care, 1(3), 219–220. Retrieved fromhttps://insights.ovid.com/crossref?an=00075198-199506000-00011

Moreno, R. P., Rhodes, A., & Donchin, Y. (2009). Patient safety in intensive care medicine: the Declaration of Vienna. Intensive Care Medicine, 35(10), 1667–1672. https://doi.org/10.1007/s00134-009-1621-2

Naing, N. N. (2000). Easy way to learn standardization direct and indirect methods. The Malaysian Journal of Medical Sciences MJMS, 7(1), 10–15. Retrieved fromhttp://www.ncbi.nlm.nih.gov/pubmed/22844209

Naqvi, I. H., Mahmood, K., Ziaullaha, S., Kashif, S. M., & Sharif, A. (2016). Better prognostic marker in ICU - APACHE II, SOFA OR SAP II!Pakistan Journal of Medical Sciences, 32(5), 1146–1151. https://doi.org/10.12669/pjms.325.10080

Poncet, A., Perneger, T. V., Merlani, P., Capuzzo, M., & Combescure, C. (2017). Determinants of the calibration of SAPS II and SAPS 3 mortality scores in intensive care: A European multicenter study. Critical Care, 21(1), 85. https://doi.org/10.1186/s13054-017-1673-6

Previsdomini, M., Cerutti, B., Merlani, P., Kaufmann, M., Van Gessel, E., Rothen, H. U., & Perren, A. (2014). SwissScoring-a nationwide survey of SAPS II assessing practices and its accuracy. Swiss Medical Weekly. EMH Swiss Medical Publishers Ltd. https://doi.org/10.4414/smw.2014.14090

Rhodes, A., Moreno, R. P., Azoulay, E., Capuzzo, M., Chiche, J. D., Eddleston, J., & Valentin, A. (2012). Prospectively defined indicators to improve the safety and quality of care for critically ill patients: A report from the Task Force on Safety and Quality of the European Society of Intensive Care Medicine (ESICM). Intensive Care Medicine, 38(4), 598–605. https://doi.org/10.1007/s00134-011-2462-3

Ridley, S. (1998). Severity of illness scoring systems and performance appraisal. Anaesthesia, 53(12), 1185–1194. https://doi.org/10.1046/j.1365-2044.1998.00615.x

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Published

2019-09-01