Cost-effectiveness of human papillomavirus testing after treatment for cervical intraepithelial neoplasia

BJOG. 2007 Apr;114(4):416-24. doi: 10.1111/j.1471-0528.2007.01265.x.

Abstract

Objective: To compare current cytological follow up of women treated for high-grade cervical intraepithelial neoplasia (CIN) with follow up by high-risk human papillomavirus (HPV) testing together with cytology.

Design: A cost-effectiveness modelling study.

Setting: Gynaecology clinics in the Netherlands.

Population: Women treated for high-grade CIN.

Methods: A Markov model was developed to compare six follow-up strategies with HPV testing with current cytological follow up at 6, 12, and 24 months. Model parameter estimation was based on three Dutch follow-up studies and a Dutch population-based screening cohort.

Main outcome measures: The number of CIN2/3 cases missed after 5 years follow up, the number of diagnostic procedures, and costs involved.

Results: Strategies with adjunct HPV testing were more effective than current follow up (reduction in missed CIN2/3 cases 32-77%, corresponding to a number needed to treat of 192-455) and less inconvenient (reduction in repeat smears 28-65%). A particularly attractive strategy was HPV testing alone at 6 months and both HPV and cytological testing at 24 months after treatment. This strategy yielded a high detection rate of post-treatment CIN, did not lead to an increase in colposcopy rate, and was 49 Euro per woman cheaper than the current strategy.

Conclusions: Our model supports the use of high-risk HPV testing for monitoring women treated for high-grade CIN.

Publication types

  • Comparative Study
  • Multicenter Study

MeSH terms

  • Colposcopy / economics
  • Cost-Benefit Analysis
  • Female
  • Humans
  • Markov Chains
  • Models, Biological
  • Netherlands
  • Papillomavirus Infections / economics*
  • Risk Factors
  • Uterine Cervical Dysplasia / economics*
  • Uterine Cervical Dysplasia / virology
  • Uterine Cervical Neoplasms / economics*
  • Uterine Cervical Neoplasms / virology