Journal List > J Gynecol Oncol > v.30(2) > 1116723

Termrungruanglert, Khemapech, Tantitamit, and Havanond: Cost effectiveness analysis of HPV primary screening and dual stain cytology triage compared with cervical cytology

Abstract

Objectives

To assess the clinical and cost-effectiveness of human papillomavirus (HPV) primary screening triage with p16/Ki-67 dual stain cytology compared to cytology.

Methods

We conducted an Excel®-based budget impact model to estimate the preinvasive and invasive cervical cancer cases identified, mortality rate, direct medical costs, quality-adjusted life years (QALYs) and the incremental cost-effectiveness analysis of two strategies from the healthcare payer perspective. The study population is a cohort of women 30–65 years of age presenting for cervical screening.

Results

HPV primary screening triage with p16/Ki-67 dual stain showed higher sensitivity without losing specificity compared to conventional Pap smear. The improving the screening performance leads to decrease the prevalence of precancerous lesion, annual incidence and mortality of cervical cancer. The incidence of cervical cancer case detected by new algorithm compared with conventional method were 31,607 and 38,927, respectively. In addition, the new algorithm was more effective and more costly (average QALY 24.03, annual cost $13,262,693) than conventional cytology (average QALY 23.98, annual cost $7,713,251). The incremental cost-effective ratio (ICER) per QALY gained was $1,395. The sensitivity analysis showed if the cost of cytology and HPV test increased three times, the ICER would fall to $303/QALY gained and increased to $4,970/QALY gained, respectively.

Conclusion

Our model results suggest that screening by use of HPV genotyping test as a primary screening test combined with dual stain cytology as the triage of HPV positive women in Thai population 30–65 years old is expected to be more cost-effective than conventional Pap cytology.

References

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Fig. 1.
A model of the patient flow through a cervical cancer screening. CIN, cervical intraepithelial neoplasia; FU, follow up; HPV, human papillomavirus.
jgo-30-e17f1.tif
Fig. 2.
Screening model. (A) Cytology: screening with conventional cytology. (B) HPV/dual stain: HPV DNA test with genotyping 16&18 plus triage with p16/Ki-67 dual stain. ASCUS, atypical squamous cells of undetermined significance; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; ICC, invasive cervical cancer. * Women with negative colposcopy return to routine screening, women with CIN or ICC were referred to treatment.
jgo-30-e17f2.tif
Fig. 3.
The prevalence of preinvasive cervical cancer, cervical cancer, and mortality rate from cancer. CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus.
jgo-30-e17f3.tif
Table 1.
Data of HPV infection and cancer based on published reference
Clinical parameters Input value
The performance of screening test [24,25]  
 Cytology (threshold = ASCUS)  
 Sensitivity of cytology for CIN2 53.20%
 Sensitivity of cytology for CIN3 57.70%
 Sensitivity of cytology for ICC 57.70%
 Specificity of cytology 73.40%
HPV testing  
 Sensitivity of pooled hrHPV testing for CIN2 86.40%
 Sensitivity of pooled hrHPV testing for CIN3 89.90%
 Sensitivity of pooled hrHPV testing for ICC 89.90%
 Specificity of pooled hrHPV testing 62.70%
 Sensitivity of genotyping 16/18 for CIN2 43.60%
 Sensitivity of genotyping 16/18 for CIN3 53.40%
 Sensitivity of genotyping 16/18 for ICC 59.20%
 Specificity of genotyping 16/18 91.90%
Dual staining (pooled HPV triage)  
 Sensitivity for CIN2 86.80%
 Sensitivity for CIN3 89.80%
 Specificity for CIN2+ 71.40%
 Sensitivity for ICC 93.80%
Epidemiology data [11,24,26–31]  
 Prevalence of hrHPV 5.6%
 Prevalence of HPV16 and 18 1.7%
 Prevalence of CIN1 0.6%
 Prevalence of CIN2 0.3%
 Prevalence of CIN3 0.8%
 Prevalence of invasive cervical cancer 0.075%
 % of HSIL+ population that is HPV+ 88.4%
 % of LSIL population that is HPV+ 61.5%
 % of ASCUS population that is HPV+ 21.4%
 % CIN1 that are hrHPV 16/18 13.6%
 % CIN2 that are hrHPV 16/18 23.1%
 % CIN3 that are hrHPV 16/18 50.3%
 % of ICC that are hrHPV 16/18 75.0%
 General population annual death rate 0.800%
Natural history parameters  
 Progression [17,26,32–39]  
  Well to hrHPV infection 3.20%
  Transformation from hrHPV (12 types)  
   to CIN1 9.10%
   to CIN2 0.10%
   to CIN3 0.10%
  Transformation from hrHPV 16/18  
   to CIN1 7.30%
   to CIN2 2.20%
   to CIN3 2.00%
  Progression from CIN1  
   to CIN2 3.10%
   to CIN3 0.90%
  Progression from CIN2 (base case assumes CIN2 does not progress directly to ICC)  
   to CIN3 4.20%
   to ICC 0.00%
   CIN3 to ICC 4.50%
  Annual mortality rate for cervical cancer 8.30%
 Regression [32,35,39,40]  
  Regression from hrHPV (12 types) to.  
   with NORMAL smear to well 58.60%
   with BORDERLINE/MILD smear to well 45.60%
  Regression from hrHPV 16/18 to.  
   with NORMAL smear to well 43.80%
   with BORDERLINE/MILD smear to well 21.80%
  Regression from CIN1  
   to well 21.20%
   to hrHPV 2.40%
  Regression from CIN2  
   to well 9.40%
   to CIN1 9.40%
  Regression from CIN3  
   to well 3.80%
   to CIN1 1.60%

ASCUS, atypical squamous cells of undetermined significance; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; hrHPV, high-risk human papillomavirus; ICC, invasive cervical cancer.

Table 2.
Details of total direct medical costs
Cost parameters Input value (USD*)
Screening costs [41]  
 Office visit (routine/repeat screening) 2.00
 Cytology test (lab fee) 5.30
 Cytology test (professional fee) 3.00
 HPV DNA test 17.00
 P16/Ki-67 Dual staining 35.00
Diagnosis costs [41]  
 Office visit (diagnostic follow-up) 12.86
 Colposcopy plus biopsy 21.42
 CINtec® p16 Histology 25.37
Treatment costs [41–43]  
 Treatment for CIN2/CIN3 1,292.00
 Treatment for ICC 7,403.00
  • Stage IA1 1,206.29
  • Stage IA2–IIA 2,904.94
  • Stage IIB–IVA 163,334.63
  • Stage IVB 9,168.74
 End of life cancer treatment cost 10,019.00
Discounting rate [20]  
 Discount rate for cost 0.035
 Discount rate for health outcomes 0.035

CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; ICC, invasive cervical cancer.

* The currency used was US dollar (US Dollar exchange rate on May 3,2018; 1 USD = 35 THB);

The treatment for invasive cervical cancer cost was the weighted average of cervical cancer at different stages (stage I, 0.37; stage II, 0.19; stage III, 0.33; and stage IV, 0.11) [43].

Table 3.
Screening performance, cost, average QALY and ICER per QALY gained
Variables Cytology HPV/dual stain  
Screening performance based on colposcopy population      
 Number of screening cycles 20 20  
 Total colposcopy population (per screening cycle) 270,487 220,535 −18.5%
 False positive (per screening cycle) 249,800 194,562 −22.1%
 False negative (per screening cycle) 16,350 5,452 −66.7%
 Sensitivity (≥CIN2) 55.85% 82.65% 48.0%
 Specificity (≥CIN2) 95.48% 96.47% 1.0%
Screening performance and total number of cancer/precancer cases detected      
 Screening performance (%)      
  Cervical cancer detected 57.7% 88.9% 54.1%
  CIN3 detected 57.7% 85.2% 47.7%
  CIN2 detected 53.2% 79.2% 49.0%
 Total number of cancer/precancer cases detected      
  Cervical cancer detected 38,927 31,607 −18.81%
  CIN3 Detected 213,218 257,188 20.62%
  CIN2 Detected 161,582 230,669 42.76%
Total annual cost, average QALY and ICER per QALY gained      
 Total cost $771,325,070 $1,326,269,261  
 Annual cost $7,713,251 $13,262,693  
 Per person per year (over total screening population) $1 $2  
 Per member per year (over total population) $0 $0  
 Average QALY 23.98 24.03  
 ICER per QALY gained $1,395  

CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; ICER, incremental cost-effectiveness ratio; QALY, quality-adjusted life year.

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