Irene Man

Leveraging single-dose human papillomavirus vaccination dose-efficiency to attain cervical cancer elimination in resource-constrained settings

Abstract Background In low- and middle-income countries, resource constraints remain a critical factor limiting access to cervical cancer preventive measures. The option of single-dose immunization could help improve access to human papillomavirus vaccination and attain cervical cancer elimination. Methods With simulation models adapted to country-specific data and scenarios for single-dose protection derived from International Agency for Research on Cancer India vaccine trial data, we estimated the expected impact of single-dose vaccination in India, Rwanda, and Brazil, three countries with varying profiles of cervical cancer risk and vaccination timelines. In combination with single-dose vaccination, we explored different resource reallocation strategies based on dose efficiency, elimination attainment, and cervical cancer cases prevented, with the existing 2-dose program as a comparator. Results Assuming lifelong single-dose protection, switching from 2-dose to 1-dose vaccination and reallocating resources to female catch-up could prevent 467-1336, 94-194, and 15-207 additional cervical cancer cases (per 100 000 women born) in cohorts aged 11-30 years in India, Rwanda, and Brazil, respectively. Resource reallocation to improve the current routine coverage could help eliminate cervical cancer in India and across all Brazilian states but not in Rwanda. For each country, we found a dose-efficient reallocation strategy (or a combination of strategies) together with 1-dose vaccination that could prevent more cervical cancers vs 2-dose vaccination, even in the worst-case scenario of single-dose protection. Conclusion Adopting single-dose vaccination with resource reallocation is a resource-efficient approach to enhance progress toward cervical cancer elimination. The overall impact of vaccination can be maximized by fine-tuning resource reallocation to a country’s needs.

Toward a Framework to Assess the Financial and Economic Burden of Cervical Cancer in Low- and Middle-Income Countries: A Systematic Review

PURPOSE To review the economic burden assessment of cervical cancer in low- and middle-income countries (LMICs) and use the findings to develop a pragmatic, standardized framework for such assessment. METHODS We first systematically reviewed articles indexed in scientific databases reporting the methodology for collecting and calculating costs related to the cervical cancer burden in LMICs. Data on study design, costing approach, cost perspective, costing period, and cost type (direct medical costs [DMC], direct nonmedical costs [DNMC], and indirect costs [IC]) were extracted. Finally, we summarized the reported limitations in the methodology and used the solutions to inform our framework. RESULTS Cervical cancer treatment costs across LMICs vary greatly and can be extremely expensive, up to 70,968 International US dollars. Economic and financial assessment methods also vary greatly across countries. Of the 28 reviewed articles, 25 studies reported DMC for cervical cancer treatment by extracting cost information from billing or insurance databases (eight studies), conducting surveys (five), and estimating the costs (12). Only 11 studies—mainly through surveys—reported DNMC and IC. The economic burden assessment framework includes health care/payer and societal perspectives (DMC, DNMC, IC, and human capital loss) across the cervical cancer screening and treatment continuum. To assess health care/payer costs, we recommend combining the predefined treatment standards with actual local treatment practices, multiplied by unit costs. To assess societal costs, we recommend conducting a cost survey in line with a standardized yet adaptable protocol. CONCLUSION Our standardized, pragmatic framework allows assessment of economic and financial burden of cervical cancer in LMICs despite the different levels of available resources across countries. This framework will facilitate global comparisons and monitoring and may also be applied to other cancers.

Building resilient cervical cancer prevention through gender-neutral HPV vaccination

The COVID-19 pandemic has disrupted HPV vaccination programmes worldwide. Using an agent-based model, EpiMetHeos, recently calibrated to Indian data, we illustrate how shifting from a girls-only (GO) to a gender-neutral (GN) vaccination strategy could improve the resilience of cervical cancer prevention against disruption of HPV vaccination. In the base case of 5-year disruption with no coverage, shifting from GO to GN strategy under 60% coverage (before disruption) would increase the resilience, in terms of cervical cancer cases still prevented in the disrupted birth cohorts per 100,000 girls born, by 2.8-fold from 107 to 302 cases, and by 2.2-fold from 209 to 464 cases under 90% coverage. Furthermore, shifting to GN vaccination helped in reaching the World Health Organization (WHO) elimination threshold. Under GO vaccination with 60% coverage, the age-standardised incidence rate of cervical cancer in India in the long term with vaccination decreased from 11.0 to 4.7 cases per 100,000 woman-years (above threshold), as compared to 2.8 cases (below threshold) under GN with 60% coverage and 2.4 cases (below threshold) under GN with 90% coverage. In conclusion, GN HPV vaccination is an effective strategy to improve the resilience to disruption of cancer prevention programmes and to enhance the progress towards cervical cancer elimination.

Approximating missing epidemiological data for cervical cancer through Footprinting: A case study in India

Local cervical cancer epidemiological data essential to project the context-specific impact of cervical cancer preventive measures are often missing. We developed a framework, hereafter named Footprinting, to approximate missing data on sexual behaviour, human papillomavirus (HPV) prevalence, or cervical cancer incidence, and applied it to an Indian case study. With our framework, we (1) identified clusters of Indian states with similar cervical cancer incidence patterns, (2) classified states without incidence data to the identified clusters based on similarity in sexual behaviour, (3) approximated missing cervical cancer incidence and HPV prevalence data based on available data within each cluster. Two main patterns of cervical cancer incidence, characterized by high and low incidence, were identified. Based on the patterns in the sexual behaviour data, all Indian states with missing data on cervical cancer incidence were classified to the low-incidence cluster. Finally, missing data on cervical cancer incidence and HPV prevalence were approximated based on the mean of the available data within each cluster. With the Footprinting framework, we approximated missing cervical cancer epidemiological data and made context-specific impact projections for cervical cancer preventive measures, to assist public health decisions on cervical cancer prevention in India and other countries.