Implications of ICU triage decisions on patient mortality: a cost-effectiveness analysis
- PMID: 21306645
- PMCID: PMC3221989
- DOI: 10.1186/cc10029
Implications of ICU triage decisions on patient mortality: a cost-effectiveness analysis
Abstract
Introduction: Intensive care is generally regarded as expensive, and as a result beds are limited. This has raised serious questions about rationing when there are insufficient beds for all those referred. However, the evidence for the cost effectiveness of intensive care is weak and the work that does exist usually assumes that those who are not admitted do not survive, which is not always the case. Randomised studies of the effectiveness of intensive care are difficult to justify on ethical grounds; therefore, this observational study examined the cost effectiveness of ICU admission by comparing patients who were accepted into ICU after ICU triage to those who were not accepted, while attempting to adjust such comparison for confounding factors.
Methods: This multi-centre observational cohort study involved 11 hospitals in 7 EU countries and was designed to assess the cost effectiveness of admission to intensive care after ICU triage. A total of 7,659 consecutive patients referred to the intensive care unit (ICU) were divided into those accepted for admission and those not accepted. The two groups were compared in terms of cost and mortality using multilevel regression models to account for differences across centres, and after adjusting for age, Karnofsky score and indication for ICU admission. The analyses were also stratified by categories of Simplified Acute Physiology Score (SAPS) II predicted mortality (< 5%, 5% to 40% and >40%). Cost effectiveness was evaluated as cost per life saved and cost per life-year saved.
Results: Admission to ICU produced a relative reduction in mortality risk, expressed as odds ratio, of 0.70 (0.52 to 0.94) at 28 days. When stratified by predicted mortality, the odds ratio was 1.49 (0.79 to 2.81), 0.7 (0.51 to 0.97) and 0.55 (0.37 to 0.83) for <5%, 5% to 40% and >40% predicted mortality, respectively. Average cost per life saved for all patients was $103,771 (€82,358) and cost per life-year saved was $7,065 (€5,607). These figures decreased substantially for patients with predicted mortality higher than 40%, $60,046 (€47,656) and $4,088 (€3,244), respectively. Results were very similar when considering three-month mortality. Sensitivity analyses performed to assess the robustness of the results provided findings similar to the main analyses.
Conclusions: Not only does ICU appear to produce an improvement in survival, but the cost per life saved falls for patients with greater severity of illness. This suggests that intensive care is similarly cost effective to other therapies that are generally regarded as essential.
Similar articles
-
Should mild or moderate stroke patients be admitted to an intensive care unit?Stroke. 2001 Apr;32(4):871-6. doi: 10.1161/01.str.32.4.871. Stroke. 2001. PMID: 11283385
-
Costs and expected gain in lifetime health from intensive care versus general ward care of 30,712 individual patients: a distribution-weighted cost-effectiveness analysis.Crit Care. 2017 Aug 21;21(1):220. doi: 10.1186/s13054-017-1792-0. Crit Care. 2017. PMID: 28830479 Free PMC article.
-
Determinants and outcomes associated with decisions to deny intensive care unit admission in Tunisian ICU.Pan Afr Med J. 2018 Mar 26;29:176. doi: 10.11604/pamj.2018.29.176.13099. eCollection 2018. Pan Afr Med J. 2018. PMID: 30050640 Free PMC article.
-
The Critical Care Society of Southern Africa Consensus Statement on ICU Triage and Rationing (ConICTri).S Afr Med J. 2019 Aug 22;109(8b):613-629. doi: 10.7196/SAMJ.2019.v109i8b.13947. S Afr Med J. 2019. PMID: 31456540
-
The status of intensive care medicine research and a future agenda for very old patients in the ICU.Intensive Care Med. 2017 Sep;43(9):1319-1328. doi: 10.1007/s00134-017-4718-z. Epub 2017 Feb 25. Intensive Care Med. 2017. PMID: 28238055 Review.
Cited by
-
Unplanned Transfers from Hospital Wards to the Neurological Intensive Care Unit.Neurocrit Care. 2015 Oct;23(2):159-65. doi: 10.1007/s12028-015-0123-z. Neurocrit Care. 2015. PMID: 25680399
-
The ETHICA study (part II): simulation study of determinants and variability of ICU physician decisions in patients aged 80 or over.Intensive Care Med. 2013 Sep;39(9):1574-83. doi: 10.1007/s00134-013-2977-x. Epub 2013 Jun 14. Intensive Care Med. 2013. PMID: 23765237 Clinical Trial.
-
Mind the Gap! A Multilevel Analysis of Factors Related to Variation in Published Cost-Effectiveness Estimates within and between Countries.Med Decis Making. 2016 Jan;36(1):31-47. doi: 10.1177/0272989X15579173. Epub 2015 Apr 15. Med Decis Making. 2016. PMID: 25878194 Free PMC article.
-
Temporal trends of medical cost and cost-effectiveness in sepsis patients: a Japanese nationwide medical claims database.J Intensive Care. 2022 Jul 14;10(1):33. doi: 10.1186/s40560-022-00624-5. J Intensive Care. 2022. PMID: 35836301 Free PMC article.
-
Neuromuscular electrical stimulation for preventing skeletal-muscle weakness and wasting in critically ill patients: a systematic review.BMC Med. 2013 May 23;11:137. doi: 10.1186/1741-7015-11-137. BMC Med. 2013. PMID: 23701811 Free PMC article.
References
-
- Miller DH. The rationing of intensive care. Crit Care Clin. 1994;10:135–143. - PubMed