Patterns of breast, prostate and cervical cancer incidence and mortality in Colombia: an administrative registry data analysis

Impact of the universal health insurance benefits on cervical cancer mortality in Colombia

BACKGROUND

Cervical cancer patients in Colombia have a lower likelihood of survival compared to breast cancer patients. In 1993, Colombia enrolled citizens in one of two health insurance regimes (contributory-private insurance and subsidized- public insurance) with fewer benefits in the subsidized regime. In 2008, the Constitutional Court required the Colombian government to unify services of both regimes by 2012. This study evaluated the impact of this insurance change on cervical cancer mortality before and after 2012.

METHODS

We accessed 24,491 cervical cancer mortality records for 2006-2020 from the vital statistics of Colombia's National Administrative Department of Statistics (DANE). We calculated crude mortality rates by health insurance type and departments (geopolitical division). Changes by department were analyzed by rate differences between 2006 and 2012 and 2013-2020, for each health insurance type. We analyzed trends using join-point regressions by health insurance and the two time-periods.

RESULTS

The contributory regime (private insurance) exhibited a significant decline in cervical cancer mortality from 2006 to 2012, characterized by a noteworthy average annual percentage change (AAPC) of -3.27% (P = 0.02; 95% CI [-5.81, -0.65]), followed by a marginal non-significant increase from 2013 to 2020 (AAPC 0.08%; P = 0.92; 95% CI [-1.63, 1.82]). In the subsidized regime (public insurance), there is a non-significant decrease in mortality between 2006 and 2012 (AAPC - 0.29%; P = 0.76; 95% CI [-2.17, 1.62]), followed by a significant increase from 2013 to 2020 (AAPC of 2.28%; P < 0.001; 95% CI [1.21, 3.36]). Examining departments from 2013 to 2020 versus 2006 to 2012, the subsidized regime showed fewer cervical cancer-related deaths in 5 out of 32 departments, while 6 departments had higher mortality. In 21 departments, mortality rates remained similar between both regimes.

CONCLUSION

Improvement of health benefits of the subsidized regime did not show a positive impact on cervical cancer mortality in women enrolled in this health insurance scheme, possibly due to unresolved administrative and socioeconomic barriers that hinder access to quality cancer screening and treatment.

Addressing cancer care in low- to middle-income countries: a call for sustainable innovations and impactful research

Most new cancer cases are currently arising in low- and middle-income countries, where their outcomes are significantly poorer compared to high-income countries. Innovative solutions are imperiously needed to prevent, detect early, and manage cancer in low- and middle-income countries, aiming to improve the chances of survival.

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.

Prevalence of lung cancer in Colombia and a new diagnostic algorithm using health administrative databases: A real-world evidence study

Reliable, timely and detailed information on lung cancer prevalence, mortality and costs from middle-income countries is essential to policy design. Thus, we aimed to develop an electronic algorithm to identify lung cancer prevalent patients in Colombia by using administrative claims databases, as well as to estimate prevalence rates by age, sex and geographic region. We performed a cross-sectional study based on national claim databases in Colombia (Base de datos de suficiencia de la Unidad de Pago por Capitación and Base de Datos Única de Afiliados) to identify lung cancer prevalent patients in 2017, 2018 and 2019. Several algorithms based on the presence or absence of oncological procedures (chemotherapy, radiotherapy and surgery) and a minimum number of months that each individual had lung cancer ICD-10 codes were developed. After testing 16 algorithms, those with the closest prevalence rates to those rates reported by aggregated official sources (Global Cancer Observatory and Cuenta de Alto Costo) were selected. We estimated prevalence rates by age, sex and geographic region. Two algorithms were selected: i) one algorithm that was defined as the presence of ICD-10 codes for 4 months or more (the sensitive algorithm); and ii) one algorithm that was defined by adding the presence of at least one oncological procedure (the specific algorithm). The estimated prevalence rates per 100,000 inhabitants ranged between 11.14 and 18.05 for both, the contributory and subsidized regimes over years 2017, 2018 and 2019. These rates in the contributory regime were higher in women (15.43, 15.61 and 17.03 per 100,000 for years 2017, 2018 and 2019), over 65-years-old (63.45, 56.92 and 61.79 per 100,000 for years 2017, 2018 and 2019) who lived in Central, Bogota and Pacific regions. Selected algorithms showed similar aggregated prevalence estimations to those rates reported by official sources and allowed us to estimate prevalence rates in specific aging, regional and gender groups for Colombia by using national claims databases. These findings could be useful to identify clinical and economical outcomes related to lung cancer patients by using national individual-level databases.

Socioeconomic inequalities in prostate cancer screening in low- and middle-income countries: An analysis of the demographic and health surveys between 2010 and 2019

INTRODUCTION

Prostate cancer screening is a valuable public health tool in the early detection of prostate cancer. In this study, we aimed to determine the socioeconomic inequalities in the coverage of prostate cancer screening in Low and Middle-Income Countries (LMICs).

METHODS

This was a retrospective analysis of men's recode data files that were collected by the Demographic and Health Surveys (DHS) in LMICs (Armenia, Colombia, Honduras, Kenya, Namibia, Dominican Republic, and the Philippines). We included surveys that were conducted from 2010 to 2020 and measured the coverage of prostate cancer screening and the study population was men aged 40 years or older. Socioeconomic inequality was measured using the Concertation Index (CIX) and the Slope Index of Inequality (SII).

RESULTS

Eight surveys from seven countries were included in the study with a total of 47,863 men. The coverage of prostate cancer screening was below 50% in all the countries with lower rates in the rural areas compared to the urban areas. The pooled estimate for the coverage of screening was 10.4% [95% CI, 7.9-12.9%). Inequalities in the coverage of prostate cancer screening between the wealth quintiles were observed in the Democratic Republic, Honduras, and Namibia. Great variation in inequalities in the coverage of prostate cancer screening between rural and urban residents was observed in Colombia and Namibia.

CONCLUSION

The coverage of prostate cancer screening was low in LMICs with variations in the coverage by the quintile of wealth (pro-rich) and type of place of residence (pro-urban).

POLICY SUMMARY

To achieve the desired impact of prostate cancer screening services in LMICs, it is important that the coverage of screening programs targets men living in rural areas and those in low wealth quintiles.

HPV-Vaccine Hesitancy in Colombia: A Mixed-Methods Study

In Colombia, the uptake rate of the HPV vaccine dropped from 96.7% after its introduction in 2013 to 9% in 2020. To identify the behavioural components of HPV-vaccine hesitancy in females aged 15 and under and their families, we conducted a convergent mixed-methods study in which 196 parents/caregivers responded to an online questionnaire and 10 focus groups were held with 13 of these parents/caregivers, and 50 age-eligible girls. The study is novel as it is the first to explore the factors influencing HPV-vaccine hesitancy alongside the COVID vaccine within an integrative model of behaviour change, the capability-opportunity-motivation-behaviour (COM-B) model. We found that COVID-19 has had an impact on the awareness of HPV and HPV vaccination. Lack of information about the vaccination programs, concerns about vaccine safety and the relationship between HPV and sexuality could be related to vaccine hesitancy. Trust in medical recommendations and campaigns focused on the idea that vaccination is a way of protecting daughters from cervical cancer could improve HPV vaccine uptake.

Improving intervention design to promote cervical cancer screening among hard-to-reach women: assessing beliefs and predicting individual attendance probabilities in Bogotá, Colombia

Background

Despite being a preventable disease, cervical cancer continues to be a public health concern, affecting mainly lower and middle-income countries. Therefore, in Bogotá a home-visit based program was instituted to increase screening uptake. However, around 40% of the visited women fail to attend their Pap smear test appointments. Using this program as a case study, this paper presents a methodology that combines machine learning methods, using routinely collected administrative data, with Champion’s Health Belief Model to assess women’s beliefs about cervical cancer screening. The aim is to improve the cost-effectiveness of behavioural interventions aiming to increase attendance for screening. The results presented here relate specifically to the case study, but the methodology is generic and can be applied in all low-income settings.

Methods

This is a cross-sectional study using two different datasets from the same population and a sequential modelling approach. To assess beliefs, we used a 37-item questionnaire to measure the constructs of the CHBM towards cervical cancer screening. Data were collected through a face-to-face survey (N = 1699). We examined instrument reliability using Cronbach’s coefficient and performed a principal component analysis to assess construct validity. Then, Kruskal–Wallis and Dunn tests were conducted to analyse differences on the HBM scores, among patients with different poverty levels. Next, we used data retrieved from administrative health records (N = 23,370) to fit a LASSO regression model to predict individual no-show probabilities. Finally, we used the results of the CHBM in the LASSO model to improve its accuracy.

Results

Nine components were identified accounting for 57.7% of the variability of our data. Lower income patients were found to have a lower Health motivation score (p-value < 0.001), a higher Severity score (p-value < 0.001) and a higher Barriers score (p-value < 0.001). Additionally, patients between 25 and 30 years old and with higher poverty levels are less likely to attend their appointments (O.R 0.93 (CI: 0.83–0.98) and 0.74 (CI: 0.66–0.85), respectively). We also found a relationship between the CHBM scores and the patient attendance probability. Average AUROC score for our prediction model is 0.9.

Conclusion

In the case of Bogotá, our results highlight the need to develop education campaigns to address misconceptions about the disease mortality and treatment (aiming at decreasing perceived severity), particularly among younger patients living in extreme poverty. Additionally, it is important to conduct an economic evaluation of screening options to strengthen the cervical cancer screening program (to reduce perceived barriers). More widely, our prediction approach has the potential to improve the cost-effectiveness of behavioural interventions to increase attendance for screening in developing countries where funding is limited.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01800-3.

Treatment Outcomes and Its Associated Factors Among Adult Patients with Selected Solid Malignancies at Kenyatta National Hospital: A Hospital-Based Prospective Cohort Study

Introduction

The treatment outcome of cancer is poor in the African setting due to inadequate treatment and diagnostic facilities. However, there is a paucity of data on solid cancers in Kenya. Hence, this study aimed to investigate the treatment outcomes and its determinant factors among adult patients diagnosed with selected solid malignancies at Kenyatta National Hospital (KNH).

Materials and Methods

A prospective cohort study was employed at the Oncology Department of KNH from 1^st July 2020 to 31^st December 2021. All new patients with a confirmed diagnosis of lymphoma, prostate cancer and breast cancer were studied. A consecutive sample of 99 breast cancer, 50 lymphomas, and 82 prostate cancer patients was included in the study. Semi-structured questionnaires consisting of socio-demographics, clinical characteristics, and quality of life were employed to collect the data. All enrolled patients were followed prospectively for 12 months. Treatment outcomes were reported as mortality, cancer-specific survival and health-related quality of life. The data were entered and analyzed using the SPSS 20.0 statistical software. Survival outcomes and its predictors were evaluated using the Kaplan–Meier analysis and Cox regression analyses, respectively.

Results

The study showed that the mortality rate among breast and prostate cancer patients was 3% and 4.9%, respectively. In contrast, the mortality rate was 10% among lymphoma patients. Most of the patients had partial remission and a good overall global health-related quality of life. Older age above 60 years, co-morbidity, distant metastasis and advanced stages of disease were significant predictors of mortality.

Conclusion

Although the mortality was not high at 12 months, only a few patients had complete remission. For many patients, the disease was progressing, despite 12-month mortality was not high. Therefore, longer follow-up will be required to report cancer mortality accurately. In addition, most of the patients had a good overall global health-related quality of life.