Skip to main content

Advertisement

Log in

Determining the economic cost of ICU treatment: a prospective “micro-costing” study

  • Brief Report
  • Published:
Intensive Care Medicine Aims and scope Submit manuscript

Abstract

Objective

To prospectively assess the cost of patients in an adult intensive care unit (ICU) using bottom-up costing methodology and evaluate the usefulness of “severity of illness” scores in estimating ICU cost.

Methods and design

A prospective study costing 64 consecutive admissions over a 2-month period in a mixed medical/surgical ICU.

Results

The median daily ICU cost (interquartile range, IQR) was €2,205 (€1,932–€3,073), and the median total ICU cost (IQR) was €10,916 (€4,294–€24,091). ICU survivors had a lower median daily ICU cost at €2,164 per day, compared with €3,496 per day for ICU non-survivors (P = 0.08). The requirements for continuous haemodiafiltration, blood products and anti-fungal agents were associated with higher daily and overall ICU costs (P = 0.002). Each point increase in SAPS3 was associated with a €305 (95% CI €31–€579) increase in total ICU cost (P = 0.029). However, SAPS3 accounted for a small proportion of the variance in this model (R 2 = 0.08), limiting its usefulness as a stand-alone predictor of cost in clinical practice. A model including haemodiafiltration, blood products and anti-fungal agents explained 54% of the variance in total ICU cost.

Conclusion

This bottom-up costing study highlighted the considerable individual variation in costs between ICU patients and identified the major factors contributing to cost. As the requirement for expensive interventions was the main driver for ICU cost, “severity of illness” scores may not be useful as stand-alone predictors of cost in the ICU.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

APACHE II:

Acute Physiology and Chronic Health Evaluation Score II

CI:

Confidence interval

CT:

Computed tomography scan

CXR:

Chest X-ray

FFP:

Fresh frozen plasma

ICU:

Intensive care unit

IQR:

Interquartile range

MRI:

Magnetic resonance imaging

NICE:

National Institute for Clinical Excellence

NIV:

Non-invasive ventilation

SAPS 3:

Simplified Acute Physiology Score 3

SD:

Standard deviation

SOFA:

Sequential Organ Failure Assessment Score

U/S:

Ultrasound scan

References

  1. Chalfin DB, Cohen IL, Lambrinos J (1995) The economics and cost–effectiveness of critical care medicine. Intensive Care Med 21:952–961

    Article  CAS  PubMed  Google Scholar 

  2. Bams JL, Miranda DR (1985) Outcome and costs of intensive care. A follow-up study on 238 ICU-patients. Intensive Care Med 11:234–241

    Article  CAS  PubMed  Google Scholar 

  3. Bekes C, Fleming S, Scott E (1988) Reimbursement for intensive care services under diagnosis-related groups. Crit Care Med 16:478–481

    Article  CAS  PubMed  Google Scholar 

  4. Chassin MR (1982) Costs and outcomes of medical intensive care. Med Care 20:165–179

    Article  CAS  PubMed  Google Scholar 

  5. Coulton CJ, McClish D, Doremus H, Powell S, Smookler S, Jackson DL (1985) Implications of DRG payments for medical intensive care. Med Care 23:977–985

    Article  CAS  PubMed  Google Scholar 

  6. Ridley S, Biggam M, Stone P (1991) Cost of intensive therapy. A description of methodology and initial results. Anaesthesia 46:523–530

    Article  CAS  PubMed  Google Scholar 

  7. Ridley S, Biggam M, Stone P (1993) A cost–benefit of intensive therapy. Anaesthesia 48:14–19

    Article  CAS  PubMed  Google Scholar 

  8. Singer M, Myers G, Hall G, Cohen SL, Armstrong RF (1994) The cost of intensive care. A comparison on one unit between 1988 and 1991. Intensive Care Med 20:542–549

    Article  CAS  PubMed  Google Scholar 

  9. Loes O, Smith-Erichsen N, Lind B (1987) Intensive care: cost and benefit. Acta Anaesthesiol Scand 31:3–19

    Article  Google Scholar 

  10. Health Division of Statistics Canada (1982) Canadian workload measurement system-diagnostic radiology. A schedule of unit values for diagnostic radiology, 1982–1983. Workload Measurement, Institutional Statistics Section, Health Division, Statistics Canada, Ottawa, Canada

    Google Scholar 

  11. Sznajder M, Aegerter P, Launois R, Merliere Y, Guidet CubRea B (2001) A cost–effectiveness analysis of stays in intensive care units. Intensive Care Med 27:146–153

    Article  CAS  PubMed  Google Scholar 

  12. Chaix C, Durand-Zaleski I, Alberti C, Brun-Buisson C (1999) A model to compute the medical cost of patients in intensive care. Pharmacoeconomics 15:573–582

    Article  CAS  PubMed  Google Scholar 

  13. Heyland DK, Konopad E, Noseworthy TW, Johnston R, Gafni A (1998) Is it ‘worthwhile’ to continue treating patients with a prolonged stay (>14 days) in the ICU? An economic evaluation. Chest 114:192–198

    Article  CAS  PubMed  Google Scholar 

  14. Negrini D, Sheppard L, Mills GH, Jacobs P, Rapoport J, Bourne RS, Guidet B, Csomos A, Prien T, Anderson G, Edbrooke DL (2006) International Programme for Resource Use in Critical Care (IPOC)—a methodology and initial results of cost and provision in four European countries. Acta Anaesthesiol Scand 50:72–79

    Article  CAS  PubMed  Google Scholar 

  15. Golestanian E, Scruggs JE, Gangnon RE, Mak RP, Wood KE (2007) Effect of interhospital transfer on resource utilization and outcomes at a tertiary care referral center. Crit Care Med 35:1470–1476

    Article  PubMed  Google Scholar 

  16. Rawlins M, Culyer AJ (2004) National Institute for Clinical Excellence and its value judgments. BMJ 329:224–227

    Article  PubMed  Google Scholar 

  17. Devlin N, Parkin D (2004) Does NICE have a cost effectiveness threshold and what other factors influence its decisions? A binary choice analysis. Health Econ 13:437–452

    Article  PubMed  Google Scholar 

  18. Dakin H, Devlin N, Odeyemi I (2006) Yes, no or “yes, but”? A multinomial model of NICE decision-making. Health Policy 77:352–367

    Article  PubMed  Google Scholar 

  19. Appleby J, Devlin N, Parkin D (2007) NICE’s cost effectiveness threshold. BMJ 335:358–359

    Article  PubMed  Google Scholar 

  20. Mason J, Drummond M, Torrance G (1993) Some guidelines on the use of cost effectiveness league tables. BMJ 306:570–572

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

The authors would like to thank Dr. J. Boylan for his valuable advice in preparing this manuscript. The authors acknowledge financial support from Dr. Canavan from the UK Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre award to Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London and King’s College Hospital NHS Foundation Trust.

Conflict of interest statement

None

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anne Marie McLaughlin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

McLaughlin, A.M., Hardt, J., Canavan, J.B. et al. Determining the economic cost of ICU treatment: a prospective “micro-costing” study. Intensive Care Med 35, 2135–2140 (2009). https://doi.org/10.1007/s00134-009-1622-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00134-009-1622-1

Keywords

Navigation