Re-emergence of educational inequalities in cervical cancer mortality, Colombia 1998–2015

Epidemiology of HPV-associated cancers past, present and future: towards prevention and elimination

Cervical cancer is the first cancer deemed amenable to elimination through prevention, and thus lessons from the epidemiology and prevention of this cancer type can provide information on strategies to manage other cancers. Infection with the human papillomavirus (HPV) causes virtually all cervical cancers, and an important proportion of oropharyngeal, anal and genital cancers. Whereas 20th century prevention efforts were dominated by cytology-based screening, the present and future of HPV-associated cancer prevention relies mostly on HPV vaccination and molecular screening tests. In this Review, we provide an overview of the epidemiology of HPV-associated cancers, their disease burden, how past and contemporary preventive interventions have shaped their incidence and mortality, and the potential for elimination. We particularly focus on the cofactors that could have the greatest effect on prevention efforts, such as parity and human immunodeficiency virus infection, as well as on social determinants of health. Given that the incidence of and mortality from HPV-associated cancers remain strongly associated with the socioeconomic status of individuals and the human development index of countries, elimination efforts are unlikely to succeed unless prevention efforts focus on health equity, with a commitment to both primary and secondary prevention.

Fine-grained mathematical modeling for cost-effectiveness evaluation of public health policies for cervical cancer, with application to a Colombian case study

BACKGROUND

Cervical cancer (CC) is globally ranked fourth in terms of incidence and mortality among women. Vaccination against Human Papillomavirus (HPV) and screening programs can significantly reduce CC mortality rates. Hence, executing cost-effective public health policies for prevention and surveillance is crucial. However, defining policies that make the best use of the available resources is not easy, as it requires predicting the long-term costs and results of interventions on a changing population. Since the simpler task of predicting the results of public health policies is difficult, devising those that make the best usage of available resources is an arduous challenge for decision-makers.

METHODS

This paper proposes a fine-grained epidemiological simulation model based on differential equations, to effectively predict the costs and effectiveness of CC public health policies that include vaccination and screening. The model represents population dynamics, HPV transmission within the population, likelihood of infection clearance, virus-induced appearance of precancerous lesions and eventually CC, as well as immunity gained with vaccination and early detection with screening.

RESULTS

We offer a compartmentalized modeling approach that separates population, epidemics, and intervention concerns. We instantiate models with actual data from a Colombian case study and analyze their results to show how our modeling approach can support CEA studies. Moreover, we implement models in an open-source software tool to simultaneously define and evaluate multiple policies. With the support of the tool, we analyze 54 policies within a 30-year time horizon and use as a comparator the CC policy that has been used until recently. We identify 8 dominant policies, the best one with an ICER of 6.3 million COP (Colombian Pesos) per averted DALY. We also validate the modeling approach against the available population and HPV epidemic data. The effects of uncertainty in the values of key parameters (discount rate, sensitivity of screening tests) is evaluated through one-way sensitivity analysis.

CONCLUSIONS

Our modeling approach can provide valuable support for healthcare decision-makers. The implementation into an automated tool allows customizing the analysis with country-specific data, flexibly defining public health policies to be evaluated, and conducting disaggregate analyses of their cost and effectiveness.

The impact of health insurance affiliation and socioeconomic status on cervical cancer survival in Bucaramanga, Colombia

Cervical cancer is still an important cause of death in countries like Colombia. We aimed to determine whether socioeconomic status of residential address (SES) and type of health insurance affiliation (HIA) might be associated with cervical cancer survival among women in Bucaramanga, Colombia. All patients residing in the Bucaramanga Metropolitan Area diagnosed with invasive cervical cancer (ICD-0-3 codes C53.X) between 2008 and 2016 (n = 725) were identified through the population-based cancer registry, with 700 women having follow-up data for >5 years (date of study closure: Dec 31, 2021), yielding an overall 5-year survival estimate (95 % CI) of 56.4 % (52.7 - 60.0 %). KM estimates of 5-year overall survival were obtained to assess differences in cervical cancer survival by SES and HIA. Multivariable Cox-proportional hazards modeling was also conducted, including interaction effects between SES and HIA. Five-year overall survival was lower when comparing low vs. high SES (41.9 % vs 57.9 %, p < 0.0001) and subsidized vs. contributive HIA (45.1 % vs 63.0 %, p < 0.0001). Multivariable Cox modeling showed increased hazard ratios (HR) of death for low vs. high SES (HR = 1.78; 95 % CI = 1.18-2.70) and subsidized vs. contributive HIA (HR = 1.44; 95 % CI = 1.13-1.83). The greatest disparity in HR was among women of low SES affiliated to subsidized HIA (vs. contributive HIA and high SES) (HR=2.53; 95 % CI = 1.62-3.97). Despite Colombia's universal healthcare system, important disparities in cervical cancer survival by health insurance affiliation and socioeconomic status remain.

Educational level and tuberculosis mortality in Colombia: growing inequalities and stagnation in reduction

We aim to describe the role of educational inequalities, for sex and age groups, in adult tuberculosis (TB) mortality in Colombia, 1999-2017. We linked mortality data to data estimation of the national population based on censuses and surveys to obtain primary, secondary, and tertiary adult (25+ years of age) age-standardized mortality rates (ASMR) by educational level. Thus, a population-based study was conducted using national secondary mortality data between 1999 and 2017. Tuberculosis age-standardized mortality rates were calculated separately by educational level, sex, and age groups, using Poisson regression models. Educational relative inequalities in adult mortality were evaluated by calculating the rate ratio, and the relative index of inequality (RII). Trends and joinpoints were evaluated by annual percentage change (APC). We found that, out of the 19,720 TB deaths reported, 69% occurred in men, and 45% in older adults (men and women, aged 65+). Men presented higher TB mortality rates than women (ASMR men = 7.1/100,000 inhabitants, ASMR women = 2.7/100,000 inhabitants). As mortality was consistently higher in the lowest educational level for both sexes and all age groups, inequalities in TB mortality were found to be high (RII = 9.7 and 13.4 among men and women, respectively) and growing at an annual rate of 8% and 1%. High and increasing inequalities, regarding educational level, in TB mortality in Colombia suggest the need to comprehensively address strategies for reducing TB by considering social determinants and including health education strategies throughout the country.

Education and pneumonia mortality: a trend analysis of its inequalities in Colombian adults

OBJECTIVE

To explore the existence and trends of social inequalities related to pneumonia mortality in Colombian adults using educational level as a proxy of socioeconomic status.

METHODS

We obtained individual and anonymised registries from death certificates due to pneumonia for 1998-2015. Educational level data were gathered from microdata of the Colombian Demography Health Surveys. Rate ratios (RR) were estimated by using Poisson regression models, comparing mortality of educational groups with mortality in the highest education group. Relative index of inequality (RII) was measured to assess changes in disparities, regressing mortality on the midpoint of the cumulative distribution of education, thereby considering the size of each educational group.

RESULTS

For adults 25+ years, the risk of dying was significantly higher among lower educated. The RRs depict increased risks of dying comparing lower and highest education level, and this tendency was stronger in woman than in men (RR for primary education=2.34 (95% CI 2.32 to 2.36), RR for secondary education=1.77 (95% CI 1.75 to 1.78) versus RR for primary education=1.83 (95% CI 1.81 to 1.85), RR for secondary education=1.51 (95% CI 1.50 to 1.53)). According to age groups, young adults (25-44 years) showed the largest inequality in terms of educational level; RRs for pneumonia mortality regarding the tertiary educated groups show increased mortality in the lower and secondary educated, and these differences decreased with ages. RII in pneumonia mortality among adult men was 2.01 (95% CI 2.00 to 2.03) and in women 2.46 (95% CI 2.43 to 2.48). The RII was greatest at young ages, for both sexes. Time trends showed steadily significant increases for RII in both men and women (estimated annual percentage change (EAPC)men=3.8; EAPCwomen=2.6).

CONCLUSION

A significant increase on the educational inequalities in mortality due to pneumonia during all period was found among men and women. Efforts to reduce pneumonia mortality in adults improving population health by raising education levels should be strengthened with policies that assure widespread access to economic and social opportunities.

Demand for Cervical Cancer Screening in Tigray Region of Ethiopia in 2018: A Community-Based Cross-Sectional Study

Background

Cervical cancer is a public health concern worldwide, and is increasing in developing countries. Despite the efforts of governments, demand for cervical cancer screening is low and not well studied. As such, this study was done to figure out the demand for cervical cancer screening in Tigray regional state.

Methods

A cross-sectional study design was conducted, and 1,010 participants were recruited using simple random sampling. Data were collected using an interviewer-administered questionnaire, and analysis was done using multilevel logistic regression.

Results

A total of 1,000 women were included in the final analysis. The mean age of participants was 32.57±8.56 years. Those demandeing cervical cancer screening numbered 480 (48%). Intraclass correlation indicated that 18.9% of the total variance in demand was attributable to differences across the cluster districts (p0.0001). Predictors of demand for cervical cancer screening were age 31–40 years (AOR 2.33, 95% CI 0.42–3.83) and 41–45 years (AOR 3.02, 95% CI 1.64–5.55), tertiary education (AOR 2.81, 95% CI 1.43–5.51), history of sexually transmitted disease (AOR 1.71, 95% CI 1.05–2.79), being knowledgeable about cervical cancer, (AOR 9.21, 95% CI 5.79–14.65), and having a positive attitude toward cervical cancer screening (AOR 8.32, 95% CI 5.53–12.51). Among community level variables, community awareness of cervical cancer and population:health institution ratio were factors associated with demand.

Conclusion

Demand for cervical cancer screening is low compared to the government‘s plan for 2020. Health professionals and leaders need to focus on communit- level demand creation for cervical cancer screening by planning health-promotion strategies.