| Literature DB >> 30280637 |
Alejandra Castañon1,2, Matejka Rebolj1,2, Peter Sasieni1,2.
Abstract
OBJECTIVE: It often takes considerable time for sufficient evidence to accumulate to support implementation of new methods in routine screening. Where national screening programmes are already effective, switching to a more sensitive screening test may not be a priority. Although risk associated with overly rapid implementation exists, postponement is also associated with a (to date unquantified) missed opportunity to prevent deaths. This risk tends not to be addressed where effective screening methods are already in use. We here estimate the monetary value of a one-year delay in replacing cytology cervical screening with human papillomavirus testing.Entities:
Keywords: Human papillomavirus screening; cervical cancer; implementation delays; quality-adjusted life years; screening implementation
Year: 2018 PMID: 30280637 PMCID: PMC6376595 DOI: 10.1177/0969141318800355
Source DB: PubMed Journal: J Med Screen ISSN: 0969-1413 Impact factor: 2.136
Estimated number of excess cervical cancer cases in England by FIGO stage and age at diagnosis resulting from delaying replacing cytology with primary HPV screening for 12 months, and 5-year case fatality rates.
| Age at diagnosis (years) | Estimated yearly number of cancers diagnosed with continued cytology screening[ | Observed proportion of women with a negative cytology test prior to diagnosis[ | Proportion of cancers prevented by HPV primary screening[ | Total excess cancers | Stage 1A | Stage 1B | Stage 2 | Stage 3+ |
|---|---|---|---|---|---|---|---|---|
| Excess number of cervical cancersd | ||||||||
| 25–29 | 314.5 | 19.2 | 12.1 | 38.1 | 21.2 | 13.6 | 2.6 | 0.8 |
| 30–34 | 398.9 | 40.0 | 25.3 | 100.7 | 58.2 | 35.4 | 4.9 | 2.2 |
| 35–39 | 392.2 | 37.3 | 23.6 | 92.5 | 43.2 | 41.6 | 5.8 | 1.9 |
| 40–44 | 289.2 | 35.9 | 22.7 | 65.6 | 28.7 | 28.3 | 6.5 | 2.1 |
| 45–49 | 241.8 | 35.1 | 22.2 | 53.6 | 18.6 | 26.0 | 6.0 | 3.1 |
| 50–54 | 229.3 | 28.2 | 17.8 | 40.9 | 8.7 | 18.9 | 8.1 | 5.2 |
| 55–59 | 207.9 | 40.9 | 25.8 | 53.7 | 10.5 | 24.3 | 10.9 | 8.0 |
| 60–64 | 168.9 | 37.7 | 23.8 | 40.3 | 8.8 | 14.2 | 9.9 | 7.4 |
| 65–69 | 192.2 | 27.1 | 17.1 | 32.9 | 2.8 | 12.7 | 7.4 | 9.9 |
| 70–74 | 168.9 | 38.0 | 24.0 | 40.6 | 1.6 | 10.4 | 13.8 | 14.8 |
| 75–79 | 169.5 | 20.2 | 12.8 | 21.7 | 1.8 | 4.7 | 9.2 | 5.9 |
| Total | 2773.3 | 580.5 | 204.0 | 230.1 | 85.1 | 61.3 | ||
| 5-Year case-fatality rates (%)[ | ||||||||
| 25.5–34 | – | 1.4 | 8.8 | 55.1 | 80 | |||
| 35–49 | – | 1.4 | 8.6 | 54.2 | 79.2 | |||
| 50–64 | – | 2.5 | 10.9 | 51.2 | 86 | |||
| 65–69 | – | 2.1 | 9.1 | 44.9 | 80.5 | |||
| 70–79 | – | 1.5 | 14.8 | 68.8 | 95.1 | |||
aFor women aged 25 to 59, the observed cancers is an average of the estimated annual cervical cancers diagnosed between 2016–2020 and 2021–2025. For women aged 60–79, it is an average of the yearly number of cancers diagnosed from 2016 to 2030.
bNegative cytology test between 1.5 and 4.5 years prior to diagnosis at age 25–49; between 1.5 and 6.5 years at age 50–59 and between 1.5 and 11.5 years (at age 60 to 65) prior to diagnosis for those aged 60–79.
cWe estimate the proportion prevented by HPV primary screening using the formula: Obsd0.632, where Obs: observed proportion with negative test.
Screening coverage in England in 2014/15 by age group.
| Age group | Cervical cancer screening coverage in 2014/15[ | ||
|---|---|---|---|
| Regularly screened (%) | Lapsed (%) | Never (%) | |
| 25–29[ | 63.5 | – | 36.5 |
| 30–34 | 70.4 | 14.8 | 14.8 |
| 35–39 | 73.1 | 17.4 | 9.5 |
| 40–44 | 75.1 | 17.6 | 7.3 |
| 45–49 | 75.2 | 17.9 | 6.9 |
| 50–54 | 80.8 | 12.1 | 7.1 |
| 55–59 | 74.6 | 17.1 | 8.3 |
| 60–64 | 72.4 | 17.9 | 9.7 |
aObserved in 2014/15 cervical screening programme statistics,[18] Table 3 (regularly screened defined as test within 3.5 years aged 25–49 and within 5.5 years aged 50–64).
bSince women are first invited for screening at age 25, women in this age group cannot be lapsed.
Parameters used in the estimation of the monetary value of lost QALYs associated with a one-year delay in the implementation of HPV-based cervical screening.
| Parameter | Value | Source | |
|---|---|---|---|
| Remaining life expectancy[ | 25––29 years | 56.36 years | Office for National Statistics[ |
| 30––34 years | 51.46 years | ||
| 35––39 years | 46.59 years | ||
| 40––44 years | 41.77 years | ||
| 45––49 years | 37.02 years | ||
| 50––54 years | 32.35 years | ||
| 55––59 years | 27.81 years | ||
| 60––64 years | 23.42 years | ||
| 65––69 years | 19.20 years | ||
| 70––74 years | 15.22 years | ||
| 75––79 years | 11.58 years | ||
| Age–specific QALYs for the general population[ | 25––34 years | 0.868 | Janssen and Szende[ |
| 35––44 years | 0.864 | ||
| 45––54 years | 0.824 | ||
| 55––64 years | 0.803 | ||
| 65––74 years | 0.766 | ||
| ≥75 years | 0.742 | ||
| QALY detriments because of cervical cancer | Diagnosis, treatment | –0.285 for 0.116 years | Jit et al. [ |
| Recovery | Linear change from –0.285 to –0.0305 in 1.5 years | ||
| Rest of life | –0.0305 | ||
| Threshold incremental cost–effectiveness ratio | £20,000 | NICE[ | |
Note: We used the following assumptions: (a) women were born on 1st July, (b) cervical cancers were diagnosed on 1st July when women reached the middle age of the respective age group, e.g. 27 for age group 25–29 years, (c) women with fatal cervical cancers died in on average 2.5 years after the diagnosis. These deaths represent the total mortality from cervical cancer.
aThis is the average life expectancy that patients would have had they not developed a fatal cervical cancer. In our analysis, the remaining life expectancy for an age group was taken for year of age in the middle of the age group, e.g. at age 27 for age group 25–29.
bThis is the average quality of life, on a scale from 0 to 1, that patients would experience throughout their life had they not developed cervical cancer. Women without cancer were assumed to have the same quality of life as the general population. These so-called population norms for English women show a decreasing average quality of life with increasing age, meaning that that as women age, there are progressively fewer QALYs that can be saved from preventing cervical cancer. Once a woman dies from the cancer, the QALYs that would have been experienced in absence of cancer are assumed to be lost.
QALY: quality-adjusted life years