Cost Analysis of Orthoptist-Led Neurofibromatosis Type 1 Screening Clinics

Navdeep Kaur1, Catherine Lewis1, Sandra Staffieri1,2,3

  • 1Department of Ophthalmology, The Royal Children's Hospital, Victoria, AU.

Insights

Orthoptist-led clinics are a more cost-efficient model for screening children with neurofibromatosis Type 1 (NF1) for optic pathway gliomas (OPGs). This approach significantly reduces appointment time and cost compared to consultant-led clinics.

Area of Science:

  • Ophthalmology
  • Genetics
  • Health Economics

Background:

  • Neurofibromatosis Type 1 (NF1) is a genetic disorder associated with an increased risk of optic pathway gliomas (OPGs).
  • Regular screening for OPGs is crucial in children with NF1 to enable early detection and intervention.
  • Current screening models often involve consultant-led clinics, which may have significant associated costs.

Purpose of the Study:

  • To compare the cost-efficiency of orthoptist-led versus consultant-led clinics for OPG screening in children with NF1.
  • To analyze the resource utilization and associated costs of each screening model.

Main Methods:

  • A costing study was conducted at the Royal Children's Hospital, Melbourne.
  • Data on patient time spent with healthcare professionals were collected using workflow management software.
  • A bottom-up micro-costing approach and bootstrap simulations were employed to estimate appointment costs and confidence intervals.

Main Results:

  • Analysis included 130 consultant-led and 234 orthoptist-led clinic appointments.
  • Orthoptist-led clinics demonstrated significantly shorter mean appointment times (25.85 minutes) compared to consultant-led clinics (45.11 minutes).
  • The mean cost per appointment was substantially lower in orthoptist-led clinics (A $20.40) versus consultant-led clinics (A $84.15), representing a saving of A $63.75 per appointment.

Conclusions:

  • Orthoptist-led clinics represent a more cost-efficient model for ophthalmic screening of OPGs in children with NF1.
  • This model optimizes resource allocation and reduces healthcare expenditure without compromising screening quality.
Abstract

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