PLoS ONE (Jan 2024)

Tailored recruitment interventions to improve bowel cancer screening in Arabic and Mandarin speaking groups: Modelled cost-effectiveness.

  • Anita Lal,
  • Mohammadreza Mohebi,
  • Kerryann Wyatt,
  • Ayesha Ghosh,
  • Kate Broun,
  • Lan Gao,
  • Nikki McCaffrey

DOI
https://doi.org/10.1371/journal.pone.0313058
Journal volume & issue
Vol. 19, no. 11
p. e0313058

Abstract

Read online

BackgroundEffective bowel cancer screening is freely available in Australia, however, there are inequities in utilisation amongst non-English speakers at home. This study estimates the health impacts and cost-effectiveness of recruitment interventions targeted at Arabic and Mandarin speaking populations in Victoria, Australia to increase bowel cancer screening participation.MethodsA Markov microsimulation model simulated the development of bowel cancer, considering National Bowel Cancer Screening Program participation rates. Culturally specific recruitment interventions e.g., community education and tailored paid media for 50-74-year-olds were compared to usual practice. A cost-utility analysis was conducted over a 50-year time horizon from a healthcare perspective, to estimate the cost per quality-adjusted life year (QALY) based on plausible effectiveness levels. Costs are in 2019 Australian dollars.ResultsIntervention costs were $6.90 per person for the Arabic speaking group and $3.10 for Mandarin speakers. The estimated cost/QALY was $2,781 (95% uncertainty interval [UI]: $2,144─$3,277) when screening increased by 0.2% in the Arabic group, and an estimated 5-6 additional adenoma and cancer cases were detected. In the Mandarin group, the estimated cost/QALY was $1,024/QALY (95%UI: $749─$1,272) when screening increased by 1.1%, and an estimated 18-23 additional adenoma and cancer cases were detected.ConclusionsCulturally specific recruitment interventions to increase bowel cancer screening are inexpensive and likely to be cost-effective. Improvements in capturing language spoken at home by the National program would facilitate more precise estimates of the effectiveness and cost-effectiveness of these interventions.