Comparison of costing tools in paediatric intensive care

M Kelly1, C Williams, I Murdoch

  • 1Sydney Children's Hospital.

Paediatric Nursing
|March 21, 2000
PubMed

Insights

A new nurse-patient dependency score could effectively cost paediatric intensive care (PIC) services, matching the accuracy of the established Therapeutic Intervention Scoring System (TISS). This finding offers a simpler approach to managing PICU costs.

Area of Science:

  • Healthcare Management
  • Nursing Economics
  • Pediatric Critical Care

Background:

  • Healthcare costs are a significant concern for professionals, particularly in pediatric intensive care (PIC).
  • Existing costing mechanisms for PIC services require improvement, as highlighted by Department of Health reports.
  • Effective tools are needed to accurately differentiate the costs associated with varying levels of patient acuity in PIC.

Purpose of the Study:

  • To evaluate the effectiveness of a nurse-patient dependency scoring system as a differential costing tool for pediatric intensive care (PIC).
  • To compare the utility of nurse-patient dependency scoring against the established Therapeutic Intervention Scoring System (TISS) in PIC settings.

Main Methods:

  • Data were collected over 1,741 nursing shifts, encompassing 251 patient admissions in a PICU.
  • Analysis of variance (ANOVA) was employed to analyze the collected data.
  • A modified nurse-patient dependency score was developed and compared to TISS.

Main Results:

  • Findings indicate that a modified nurse-patient dependency score can serve as an effective differential costing tool in PICU.
  • The proposed nurse-patient dependency score demonstrated comparable effectiveness to the Therapeutic Intervention Scoring System (TISS).
  • The study suggests a viable alternative for cost allocation in pediatric intensive care.

Conclusions:

  • A modified nurse-patient dependency score is a potentially effective and comparable alternative to TISS for costing PIC services.
  • Implementing such a scoring system could lead to more accurate and efficient cost management in PICUs.
  • Further validation may be beneficial, but initial results support its utility in healthcare economics.

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