The potential of real-time analytics to improve care for mechanically ventilated patients in the intensive care unit: an early economic evaluation

Table 2 Discounted results from the base case analysis and the worst and best case scenarios

Scenario	Costs €	Length of ICU stay	Hospital Mortality	Life Years	QALYs
Base case
Current care	19,501	24.28	0.43	6.87	4.72
With analytics	19,255	23.68	0.40	7.18	4.93
Incremental	− 264	− 0.6	− 0.03	0.31	0.21
ICER		Dominant	Dominant	Dominant	Dominant
Worst case^a
Current care	18,474	22.6	0.36	7.73	5.31
With analytics	19,369	22.6	0.36	7.73	5.31
Incremental	895	0	0	0	0
ICER		–	–	–	–
Best case^b
Current care	19,942	25.00	0.46	6.50	4.46
With analytics	19,111	23.59	0.40	7.22	4.96
Incremental	− 831	− 1.41	− 0.06	0.72	0.50
ICER		Dominant	Dominant	Dominant	Dominant
High ICU day costs^c
Current care	53,520	24.28	0.43	6.87	4.72
With analytics	52,366	23.68	0.40	7.18	4.93
Incremental	− 1155	− 0.6	− 0.03	0.31	0.21
ICER		Dominant	Dominant	Dominant	Dominant

ICER Incremental Cost Effectiveness Ratio, QALYs Quality Adjusted Life Years, ICU intensive care unit
^aHigh costs of the analytics (€20,000) and treatment intervention(€155), Low probability of IEEVs (0.1), sensitivity(0.79), specificity (0.8) and an unsuccessful treatment intervention (0)
^bLow costs of the analytics (€100) and the intervention (€57), High probability of IEEVs (0.5), sensitivity(94%), specificity (1) and probability of successful intervention (0.5)
^cHigh costs of an ICU day

ISSN: 1478-7547