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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2016 Sep 13;26(1):95–103. doi: 10.1158/1055-9965.EPI-16-0350

Table 2.

Primary cost-effectiveness analysis evaluating ‘5-yearly self-sampling’ compared with the current 2-reminder letter policy

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.

a

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;

b

Discounting started at screening initiation (i.e., age 25 years);

c

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;

d

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)