The efficiency in the ordinary hospital bed management in Italy: an in-depth analysis of intensive care unit in the areas affected by COVID-19 before the outbreak
DOI:
https://doi.org/10.14600/irpps_wps.115.2020Keywords:
Coronavirus, hospital bed management, performance, intensive care unit, ItalyAbstract
In the first months of 2020 an increasing number of individuals worldwide are infected by the coronavirus disease 2019 (COVID-19). A particularly severe diffusion of the virus has affected Italy and in particular its northern regions. This is resulting in a high demand of hospitalization with a particular attention on the intensive care units (ICUs). Hospitals are suffering the high degree of patients to be treated for respiratory diseases and the majority of the structures located in the north of Italy are or are going to be saturated. This has led the actual and past national and regional governments to be heavily criticized for reducing in the past years the number of beds, in particular those located in the ICUs across the country. Aim of this study is to analyse the availability of hospital beds across the country as well as to determine their management in terms of complexity and performance of cases treated at regional level before the spread of the virus. The results of this study underlines that, despite the reduction of beds for the majority of the hospital wards, ICUs availabilities did not change between 2010 and 2017. Moreover, this study confirms that the majority of the Italian regions efficiently manage these structural facilities allowing hospitals to treat patients without the risk of having an overabundance of patients and a scarcity of beds. In fact, this analysis shows that, in normal situations, the management of hospital and intensive care beds has no critical levels.References
Balia, S., Brau, R., Marrocu, E. (2014). What drives patient mobility across Italian regions? Evidence from hospital discharge data. Health Care Provision and Patient Mobility, 12, 133-154.
Davis, D.P., Poste, J.C., Hicks, T., Polk, D., Rymer, T.E., Jacoby, I. (2005). Hospital bed surge capacity in the event of a mass-casualty incident. Prehospital and Disaster Medicine 20(3), 169-176.
GitHub (2020). Disponile al link: https://github.com/pcm-dpc/COVID-19
Grasselli, G., Pesenti, A., Cecconi, M. (2020). Critical Care Utilization for the COVID-19 Outbreak in Italy: Early Experience and Forecast During an Emergency Response. JAMA
Han. B., Chen, X., Li, Q. (2018). Application of case mix index in the allocation of nursing human resources. Journal of nursing management, 26(6), 647-652.
Kok, L., Berden, C., Sardiraj, K. (2015). Costs and benefits of home care for the elderly versus residential care: a comparison using propensity scores. Eur J Health Econ, 16, 119–131.
Ministero della Salute. Banca dati del Servizio sanitario nazionale, 2019. Disponibile al link: www.salute.gov.it/portale/documentazione/p6_2_8_1_1.jsp?lingua=italiano&id=6
Nacoti, M., Ciocca, A., Giupponi, A., Brambillasca, P., Lussana, F., Pisano, M., Goisis, G., Bonacina, D., Fazzi, F., Naspro, R., Longhi, L., Cereda, M., Montaguti, C. (2020). At the Epicenter of the Covid-19 Pandemic and Humanitarian Crises in Italy: Changing Perspectives on Preparation and Mitigation. NEJM Catalyst Innovations in Care Delivery, 1(2).
OECD (2019). OECD Health at a glance 2019. Available at: http://www.oecd.org/health/health-systems/health-at-a-glance-19991312.htm
Pecoraro, F., Luzi, D., Cesarelli, M., Clemente, F. (2015). Assessing the performance of health units using a mix of efficiency indicators. In 2015 E-Health and Bioengineering Conference (EHB). IEEE.
Pulgar Perera, V.A., Tejo Paniagua, M.T., GarcÃa Sañudo, S. (2019). Barber and Johnson diagram and latent reserve as tools to optimise the management of hospital beds. Journal of healthcare quality research, 34(3), 124-130.
Rhodes, A., Ferdinande, P., Flaatten, H., Guidet, B., Metnitz, P.G., Moreno, R.P. (2012). The variability of critical care bed numbers in Europe. Intensive care medicine, 38(10),1647-1653.
Rothe, C., Schunk, M., Sothmann, S., Bretzel, G., Froeschl, G., Wallrauch, C., Zimmer, T., Thiel, V., Janke, C., Guggemos, W., Seilmaier, M., München Schwabing, K., Drosten, C., Vollmar, P., Zwirglmaier, K., Zange, S., Wolfel, R., Hoelscher, M. (2020). Transmission of 2019-nCoV infection from an asymptomatic contact in Germany. New England Journal of Medicine, 382, 970–971.
Tortorella, F., Ukanowicz, D., Douglas-Ntagha, P., Ray, R., Triller, M. (2013) Improving bed turnover time with a bed management system. Journal of Nursing Administration, 43 (1), 37-43.
Wu, Z., McGoogan, J.M. (2020). Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China. JAMA, 25-28.
Downloads
Published
How to Cite
Issue
Section
License
This licence lets others distribute, remix and build upon a work, even commercially, as long as they credit the original creator/s (and any other nominated parties). This is the most accommodating of the licences in terms of what others can do with the work. |