ArticlePharmacoEconomics2012
Selecting a mix of prevention strategies against cervical cancer for maximum efficiency with an optimization program.
Article in PharmacoEconomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 43 citations in OpenAlex.
- Modeling optimal combination of breast and cervical cancer screening strategies in China.BMC women's health · 2025Article
- The Knowledge and Application of Economics in Healthcare in a High-Income Country Today: The Case of Belgium.Journal of market access & health policy · 2024Article
- Identification of an Optimal COVID-19 Booster Allocation Strategy to Minimize Hospital Bed-Days with a Fixed Healthcare Budget.Vaccines · 2023Article
- Reducing dengue fever cases at the lowest budget: a constrained optimization approach applied to Thailand.BMC public health · 2021Article
- Allocating treatment resources for hepatitis C in the UK: a constrained optimization modelling approach.Journal of market access & health policy · 2021Article
- Informing decision makers seeking to improve vaccination programs: case-study Serbia.Journal of market access & health policy · 2021Article
- Constrained Optimization for the Selection of Influenza Vaccines to Maximize the Population Benefit: A Demonstration Project.Applied health economics and health policy · 2020Article
- How to assess for the full economic value of vaccines? From past to present, drawing lessons for the future.Journal of market access & health policy · 2020Review
- Adolescent human papillomavirus vaccination in the United States: Opportunities for integrating pharmacies into the immunization neighborhood.Human vaccines & immunotherapeutics · 2017Review
- Operations research in global health: a scoping review with a focus on the themes of health equity and impact.Health research policy and systems · 2017Article
- Cost-effectiveness of cervical cancer screening and preventative cryotherapy at an HIV treatment clinic in Kenya.Cost effectiveness and resource allocation : C/E · 2017Article
- 2. How is the economic assessment of vaccines performed today?Journal of market access & health policy · 2017Review
- 3. How comprehensive can we be in the economic assessment of vaccines?Journal of market access & health policy · 2017Review
- Methodological Challenges to Economic Evaluations of Vaccines: Is a Common Approach Still Possible?Applied health economics and health policy · 2016Article
- Promise of cancer stem cell vaccine.Human vaccines & immunotherapeutics · 2015Article
- Health economic analysis of human papillomavirus vaccines in women of Chile: perspective of the health care payer using a Markov model.BMC public health · 2014Article
- Comparing cost-effectiveness results for a vaccine across different countries worldwide: what can we learn?Advances in therapy · 2014Article
- Modeling optimal cervical cancer prevention strategies in Nigeria.BMC cancer · 2014Article
- Ethical considerations of universal vaccination against human papilloma virus.BMC medical ethics · 2014Article
- Budget constraint and vaccine dosing: a mathematical modelling exercise.Cost effectiveness and resource allocation : C/E · 2014Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScreening and vaccination against human papillomavirus (HPV) can protect against cervical cancer. Neither alone can provide 100% protection. Consequently it raises the important question about the most efficient combination of screening at specified time intervals and vaccination to prevent cervical cancer.
objectiveOur objective was to identify the mix of cervical cancer prevention strategies (screening and/or vaccination against HPV) that achieves maximum reduction in cancer cases within a fixed budget.
methodsWe assessed the optimal mix of strategies for the prevention of cervical cancer using an optimization program. The evaluation used two models. One was a Markov cohort model used as the evaluation model to estimate the costs and outcomes of 52 different prevention strategies. The other was an optimization model in which the results of each prevention strategy of the previous model were entered as input data. The latter model determined the combination of the different prevention options to minimize cervical cancer under budget, screening coverage and vaccination coverage constraints. We applied the model in two countries with different healthcare organizations, epidemiology, screening practices, resource settings and treatment costs: the UK and Brazil. 100,000 women aged 12 years and above across the whole population over a 1-year period at steady state were included. The intervention was papanicolaou (Pap) smear screening programmes and/or vaccination against HPV with the bivalent HPV 16/18 vaccine (Cervarix® [Cervarix is a registered trademark of the GlaxoSmithKline group of companies]). The main outcome measures were optimal distribution of the population between different interventions (screening, vaccination, screening plus vaccination and no screening or vaccination) with the resulting number of cervical cancer and associated costs.
resultsIn the base-case analysis (= same budget as today), the optimal prevention strategy would be, after introducing vaccination with a coverage rate of 80% in girls aged 12 years and retaining screening coverage at pre-vaccination levels (65% in the UK, 50% in Brazil), to increase the screening interval to 6 years (from 3) in the UK and to 5 years (from 3) in Brazil. This would result in a reduction of cervical cancer by 41% in the UK and by 54% in Brazil from pre-vaccination levels with no budget increase. Sensitivity analysis shows that vaccination alone at 80% coverage with no screening would achieve a cervical cancer reduction rate of 20% in the UK and 43% in Brazil compared with the pre-vaccination situation with a budget reduction of 30% and 14%, respectively. In both countries, the sharp reduction in cervical cancer is seen when the vaccine coverage rate exceeds the maximum screening coverage rate, or when screening coverage rate exceeds the maximum vaccine coverage rate, while maintaining the budget. As with any model, there are limitations to the value of predictions depending upon the assumptions made in each model.
conclusionsSpending the same budget that was used for screening and treatment of cervical cancer in the pre-vaccination era, results of the optimization program show that it would be possible to substantially reduce the number of cases by implementing an optimal combination of HPV vaccination (80% coverage) and screening at pre-vaccination coverage (65% UK, 50% Brazil) while extending the screening interval to every 6 years in the UK and 5 years in Brazil.
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