Economic evaluation of GPs’ direct access to computed tomography for identification of brain tumours

Edna Keeney*, Syed G Mohiuddin, Karolis Zienius, Yoav Ben-Shlomo, Mio Cookson, Robin Grant, Willie Hamilton, David Weller, Paul Brennan, William Hollingworth

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Background

When GPs suspect a brain tumour, a referral for specialist assessment and subsequent brain imaging is generally the first option. NICE have recommended that GPs have rapid direct access to brain imaging for adults with progressive sub-acute loss of central nervous function; however, no studies have evaluated the cost-effectiveness.

Methods

We developed a cost-effectiveness model based on data from one region of the UK with direct access computed tomography (DACT), routine data from GP records and the literature, to explore whether unrestricted DACT for patients with suspected brain tumour might be more cost-effective than criteria-based DACT or no DACT.

Results

Although criteria-based DACT allows some patients without brain tumour to avoid imaging, our model suggests this may increase costs of diagnosis due to non-specific risk criteria and high costs of diagnosing or ‘ruling out’ brain tumours by other pathways. For patients diagnosed with tumours, differences in outcomes between the three diagnostic strategies are small.

Conclusions

Unrestricted DACT may reduce diagnostic costs; however, the evidence is not strong and further controlled studies are required. Criteria-based access to CT for GPs might reduce demand for DACT, but imperfect sensitivity and specificity of current risk stratification mean that it will not necessarily be cost-effective.
Original languageEnglish
Article numbere13345
Number of pages13
JournalEuropean Journal of Cancer Care
DOIs
Publication statusPublished - 13 Nov 2020

Keywords

  • Brain tumour
  • Direct access CT
  • Cost-effectiveness model
  • Economic evaluation
  • Diagnosis
  • Risk stratification

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