Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer

Abstract Background Intensive care unit (ICU) capacity is a scant and precious resource in hospitals. Therefore, an optimal occupancy rate as well as detailed occupation planning is of great importance. Most literature deals with admission to the ICU, while only few discuss discharge from the ICU. S...

Full description

Bibliographic Details
Main Authors: G. Edenharter, D. Gartner, M. Heim, J. Martin, U. Pfeiffer, F. Vogt, K. Braun, D. Pförringer
Format: Article
Language:English
Published: BMC 2019-09-01
Series:European Journal of Medical Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40001-019-0388-3
id doaj-f5976b53d50944708acde5cb179f2a8e
record_format Article
spelling doaj-f5976b53d50944708acde5cb179f2a8e2020-11-25T03:44:07ZengBMCEuropean Journal of Medical Research2047-783X2019-09-012411510.1186/s40001-019-0388-3Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transferG. Edenharter0D. Gartner1M. Heim2J. Martin3U. Pfeiffer4F. Vogt5K. Braun6D. Pförringer7Klinikum rechts der Isar, Technische Universität München, Klinik für AnästhesiologieSchool of Mathematics, Cardiff UniversityKlinikum rechts der Isar, Technische Universität München, Klinik für AnästhesiologieKlinikum rechts der Isar, Technische Universität München, Klinik für AnästhesiologieKlinikum rechts der Isar, Technische Universität München, Klinik für AnästhesiologieDepartment of Cardiac Surgery, Paracelsus Medical UniversityKlinikum rechts der Isar, Technische Universität München, Klinik und Poliklinik für UnfallchirurgieKlinikum rechts der Isar, Technische Universität München, Klinik und Poliklinik für UnfallchirurgieAbstract Background Intensive care unit (ICU) capacity is a scant and precious resource in hospitals. Therefore, an optimal occupancy rate as well as detailed occupation planning is of great importance. Most literature deals with admission to the ICU, while only few discuss discharge from the ICU. Specifically, a delay of transfer from the ICU can cause a shortness of beds, jeopardize urgent patient treatment and lead to a decrease in treatment quality as well as economic downsides. This study examined the incidence, costs and reasons for delayed discharge from the ICU and analyzed the influence of the department the patient was admitted to. Methods Over the course of 12 months, the discharges of all 1643 patients of two surgical intensive care units of a large academic medical center were analyzed. Delay in minutes and reasons were recorded and translated into financial figures. A univariate logistic regression model was developed to evaluate the impact of length of stay at the ICU, age, gender, subspecialty and specific ICU on the delay of transfer. In a next step, significant factors of the univariate logistic regression were incorporated into a multivariate regression model. Results In 326 out of 1312 patients ready for discharge (24.8%), the transfer to the floor was delayed. Time of delay for all patients added up to a total of 265,691 min in 1 year. The application of the internal cost allocation, in which 1 min corresponds to 0.75 Euro cents, led to costs of 199,268 Euros (~ $240,000) for the study period. In 91.7% of the cases, the reason for the delay was the lack of an available or appropriate bed on the regular ward. Multivariate regression analysis revealed that the type of department the patient is admitted to poses a significantly influencing factor for delayed discharge from the ICU. Conclusion Delay in discharge from the ICU is a common problem of economic relevance. The main reason is a lack of appropriate floor beds. Patients from certain specific departments are at a higher risk to be discharged with delay. A solution to this problem lies in the focus on the downstream units. A proper use of the scarce resources is to be pursued because of ethical as well as economic reasons in an increasingly aging population.http://link.springer.com/article/10.1186/s40001-019-0388-3WorkflowDelay of ICU dischargeResource allocationBed capacity
collection DOAJ
language English
format Article
sources DOAJ
author G. Edenharter
D. Gartner
M. Heim
J. Martin
U. Pfeiffer
F. Vogt
K. Braun
D. Pförringer
spellingShingle G. Edenharter
D. Gartner
M. Heim
J. Martin
U. Pfeiffer
F. Vogt
K. Braun
D. Pförringer
Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer
European Journal of Medical Research
Workflow
Delay of ICU discharge
Resource allocation
Bed capacity
author_facet G. Edenharter
D. Gartner
M. Heim
J. Martin
U. Pfeiffer
F. Vogt
K. Braun
D. Pförringer
author_sort G. Edenharter
title Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer
title_short Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer
title_full Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer
title_fullStr Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer
title_full_unstemmed Delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer
title_sort delay of transfer from the intensive care unit: a prospective observational analysis on economic effects of delayed in-house transfer
publisher BMC
series European Journal of Medical Research
issn 2047-783X
publishDate 2019-09-01
description Abstract Background Intensive care unit (ICU) capacity is a scant and precious resource in hospitals. Therefore, an optimal occupancy rate as well as detailed occupation planning is of great importance. Most literature deals with admission to the ICU, while only few discuss discharge from the ICU. Specifically, a delay of transfer from the ICU can cause a shortness of beds, jeopardize urgent patient treatment and lead to a decrease in treatment quality as well as economic downsides. This study examined the incidence, costs and reasons for delayed discharge from the ICU and analyzed the influence of the department the patient was admitted to. Methods Over the course of 12 months, the discharges of all 1643 patients of two surgical intensive care units of a large academic medical center were analyzed. Delay in minutes and reasons were recorded and translated into financial figures. A univariate logistic regression model was developed to evaluate the impact of length of stay at the ICU, age, gender, subspecialty and specific ICU on the delay of transfer. In a next step, significant factors of the univariate logistic regression were incorporated into a multivariate regression model. Results In 326 out of 1312 patients ready for discharge (24.8%), the transfer to the floor was delayed. Time of delay for all patients added up to a total of 265,691 min in 1 year. The application of the internal cost allocation, in which 1 min corresponds to 0.75 Euro cents, led to costs of 199,268 Euros (~ $240,000) for the study period. In 91.7% of the cases, the reason for the delay was the lack of an available or appropriate bed on the regular ward. Multivariate regression analysis revealed that the type of department the patient is admitted to poses a significantly influencing factor for delayed discharge from the ICU. Conclusion Delay in discharge from the ICU is a common problem of economic relevance. The main reason is a lack of appropriate floor beds. Patients from certain specific departments are at a higher risk to be discharged with delay. A solution to this problem lies in the focus on the downstream units. A proper use of the scarce resources is to be pursued because of ethical as well as economic reasons in an increasingly aging population.
topic Workflow
Delay of ICU discharge
Resource allocation
Bed capacity
url http://link.springer.com/article/10.1186/s40001-019-0388-3
work_keys_str_mv AT gedenharter delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
AT dgartner delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
AT mheim delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
AT jmartin delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
AT upfeiffer delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
AT fvogt delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
AT kbraun delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
AT dpforringer delayoftransferfromtheintensivecareunitaprospectiveobservationalanalysisoneconomiceffectsofdelayedinhousetransfer
_version_ 1724516009482649600