Table 2.
Respondent screening historya |
Strategy | Lifetime CC risk |
Discounted lifetime costs ($)b |
Discounted QALEc |
ICER ($)d |
---|---|---|---|---|---|
Scenario A: Self-sampling respondents are moderate under-screeners |
No Screening | 2.17% | 328 | 19.7429 | -- |
‘5-yearly self-sampling’ | 0.75% | 1,719 | 19.7899 | 29,627 (24,159-37,926) | |
‘2-reminder letter policy’ | 0.75% | 1,801 | 19.7898 | Dominated | |
Scenario B: Self-sampling respondents are moderate and severe under- screeners |
No Screening | 2.17% | 328 | 19.7429 | -- |
‘5-yearly self-sampling’ | 0.72% | 1,741 | 19.7910 | 29,423 (23,990-37,683) | |
‘2-reminder letter policy’ | 0.75% | 1,801 | 19.7898 | Dominated |
CC: Cervical cancer; ICER: Incremental cost-effectiveness ratio; QALE: Quality-adjusted life expectancy.
Moderate under-screening histories assumed women screen every 8-, or 10-years in the absence of self-sampling, and moderate and severe under-screening histories assumed women screen every 8-, 10-, 20-years or never-screened in the absence of self-sampling;
Discounting started at screening initiation (i.e., age 25 years);
Quality of life adjustment range from a health state utility weight of 0 (death) to 1 (perfect health). Weights for cervical cancer varied according to stage (local: 0.76 for five years; regional: 0.67 for five years; distant: 0.48 five years). Disease specific utility weights were multiplied to baseline age-specific utility weights from Denmark(17) to estimate overall utility;
Incremental cost-effectiveness ratios were calculated as the incremental mean costs divided by the incremental mean effects of two strategies. The range in ICER values reflects the minimum and maximum ICERs across the 50 good-fitting parameter sets. (US $1=NOK6.30)