Critical care nursing service costs: Comparison of the top-down versus bottom-up micro-costing approach in Brazil

J Nurs Manag. 2021 Sep;29(6):1778-1784. doi: 10.1111/jonm.13313. Epub 2021 Apr 9.

Abstract

Aim: To estimate the nursing service costs using a top-down micro-costing approach and to compare it with a bottom-up micro-costing approach.

Background: Accurate data of nursing cost can contribute to reliable resource management.

Method: We employed a retrospective cohort design in an adult intensive care unit in São Paulo. A total of 286 patient records were included. Micro-costing analysis was conducted in two stages: a top-down approach, whereby nursing costs were allocated to patients through apportionment, and a bottom-up approach, considering actual nursing care hours estimated by the Nursing Activities Score (NAS).

Results: The total mean cost by the top-down approach was US$1,640.4 ± 1,484.2/patient. The bottom-up approach based on a total mean NAS of 833 ± 776 points (equivalent to 200 ± 86 hr of nursing care) yielded a mean cost of US$1,487.2 ± 1,385.7/patient. In the 268 patients for whom the top-down approach estimated higher costs than the bottom-up approach, the total cost discrepancy was US$4,427.3, while for those costed higher based on NAS, the total discrepancy was US$436.9. The top-down methodology overestimated costs for patients requiring lower intensity of care, while it underestimated costs for patients requiring higher intensity of care (NAS >100).

Conclusions: The top-down approach may yield higher estimated ICU costs compared with a NAS-based bottom-up approach.

Implications for nursing management: These findings can contribute to an evidence-based approach to budgeting through reliable costing methods based on actual nursing workload, and to efficient resource allocation and cost management.

Keywords: Intensive care units; accounting; costs and cost analysis; hospital costs; nursing care.

MeSH terms

  • Adult
  • Brazil
  • Costs and Cost Analysis
  • Critical Care Nursing*
  • Humans
  • Intensive Care Units
  • Retrospective Studies