Low rural health insurance take-up in a universal coverage system: perceptions of health insurance among the uninsured in La Guajira, Colombia

The impact of immigration on tuberculosis and HIV burden between Colombia and Venezuela and across frontier regions

Historically, human migrations have determined the spread of many infectious diseases by promoting the emergence of temporal outbreaks between populations. We aimed to analyze health indicators, expenditure, and disability caused by tuberculosis (TB) and HIV/AIDS burden under the Colombian-Venezuelan migration flow focusing on the Northeastern border. A retrospective study was conducted using TB and HIV/AIDS data since 2009. We consolidated a database using official reports from the Colombian Surveillance System, World Health Organization, Indexmundi, the Global Health Observatory, IHME HIV atlas, and Joint United Nations Programme on HIV/AIDS (UNAIDS). Disability metrics regarding DALYs (disability adjusted life years) and YLDs (years lived with disability), were compared between countries. Mapping was performed on ArcGIS using official migration data of Venezuelan citizens. Our results indicate that TB profiles from Colombia and Venezuela are identical in terms of disease burden, except for an increase in TB incidence in the Colombian-Venezuelan border departments in recent years, concomitantly with the massive Venezuelan immigration since 2005. We identified a four-fold underfunding for the TB program in Venezuela, which might explain the low-testing rates for cases of multidrug-resistant TB (67%) and HIV/AIDS (60%), as well as extended hospital stays (150 days). We found a significant increase in DALYs of HIV/AIDS patients in Venezuela, specifically, 362.35 compared to 265.37 observed in Colombia during 2017. This study suggests that the Venezuelan massive migration and program underfunding might exacerbate the dual burden of TB and HIV in Colombia, especially towards the Colombian-Venezuelan border.

Health Insurance and Out-Of-Pocket Expenditure on Health and Medicine: Heterogeneities along Income

Background: Achieving universal health coverage is an important objective enshrined in the 2015 global Sustainable Development Goals. However, the rising cost of healthcare remains an obstacle to the attainment of the universal health coverage. Health insurance is considered an option to reduce out-of-pocket (OOP) expenditure on health and medicine. Nevertheless, the relationship between insurance and the OOP along welfare distributions is not well understood. This study investigates the heterogeneous association between health insurance and OOP expenditure on health and medicine, along income, using data from the Kingdom of Saudi Arabia. Methods: This study used data of 8655 individuals drawn from the Saudi Family Health Survey conducted in 2018. The study adopts Tobit models to account for possible corner solution due to individuals with zero expenditure on health. We minimize the confounding effects of non-random selection into the insurance program by estimating the Tobit equations on a sample weighted by inverse propensity scores of insurance participation. In addition, we test whether the health insurance differently relates to OOP on health and medicine amongst people with access to free medical care as opposed to those without this privilege. The study estimates separate models for OOP expenditure on health and on medicines. Results: Health insurance reduces OOP expenditure on health by 2.0% and OOP expenditure on medicine by 2.4% amongst the general population while increasing the OOP expenditure on health by 0.2% and OOP expenditure on medicine by 0.2%, once income of the insured rises. The relationship between the insurance and OOP expenditure is robust only amongst the citizens, a sub-sample that also has access to free public healthcare. Specifically, the insurance reduces OOP expenditure on health by 3.6% and OOP on medicine by 5.2% and increases OOP expenditure on health by 0.4% and OOP expenditure on medicine by 0.5% once income of the insured increases amongst Saudi citizens. In addition, targeting medicines can lead to greater changes in OOP. The relationship between insurance and OOP is stronger for medicine relative to that observed on health expenditure. Conclusion: Our findings suggest that insurance induces different effects along the income spectrum. Hence, policy needs to be aware of the possible welfare distribution impacts of upscaling or downscaling the coverage of insurance amongst the populations, while pursuing universal healthcare coverage.

Determinants of Enrolment and Renewing of Community-Based Health Insurance in Households With Under-5 Children in Rural South-Western Uganda

BACKGROUND

The desire for universal health coverage in developing countries has brought attention to communitybased health insurance (CBHI) schemes in developing countries. The government of Uganda is currently debating policy for the national health insurance programme, targeting the integration of existing CBHI schemes into a larger national risk pool. However, while enrolment has been largely studied in other countries, it remains a generally under-covered issue from a Ugandan perspective. Using a large CBHI scheme, this study, therefore, aims at shedding more light on the determinants of households' decisions to enrol and renew membership in these schemes.

METHODS

We collected household data from 464 households in 14 villages served by a large CBHI scheme in southwestern Uganda. We then estimated logistic and zero-inflated negative binomial (ZINB) regressions to understand the determinants of enrolment and renewing membership in CBHI, respectively.

RESULTS

Results revealed that household's socioeconomic status, husband's employment in rural casual work (odds ratio [OR]: 2.581, CI: 1.104-6.032) and knowledge of health insurance premiums (OR: 17.072, CI: 7.027-41.477) were significant predictors of enrolment. Social capital and connectivity, assessed by the number of voluntary groups a household belonged to, was also positively associated with CBHI participation (OR: 5.664, CI: 2.927-10.963). More positive perceptions on insurance (OR: 2.991, CI: 1.273-7.029), access to information were also associated with enrolment and renewing among others. Burial group size and number of burial groups in a village, were all significantly associated with increased the likelihood of renewing CBHI.

CONCLUSION

While socioeconomic factors remain important predictors of participation in insurance, mechanisms to promote inclusion should be devised. Improving the participation of communities can enhance trust in insurance and eventual coverage. Moreover, for households already insured, access to correct information and strengthening their social network information pathways enhances their chances of renewing.

Inequities in cervical cancer screening among Colombian women: a multilevel analysis of a nationwide survey

OBJECTIVES

To identify factors associated with whether women in Colombia have had a Pap test, evaluate differences in risk factors between rural and urban residence, and evaluate the contextual effect of the lack of education on having ever had a Pap test.

METHOD

Data used were from the 2010 Colombian National Demographic and Health Survey; 40,392 women reported whether they have had a Pap test. A multilevel mixed logistic regression model was developed with random intercepts to account for clustering by neighbourhood and municipality. The model evaluated whether having a rural/urban area of residence modified the effect of identified risk factors and if the prevalence of no education at the neighbourhood level acted as a contextual effect.

RESULTS

Most women (87.3%) reported having at least one Pap test. Women from lower socioeconomic quintiles (p=0.002), who were unemployed (p<0.001), and whose final health decisions depended on others (p<0.001) were less likely to have had a Pap test. Women with children were more likely to have had the test (p<0.001), and the effects of education (p=0.03), type of health insurance (p=0.01), age (p<0.001), and region (p<0.001) varied with having a rural/urban area of residence. Women living in rural areas (specifically younger ones, with no health insurance, living in the Atlantic and Amazon-Orinoquía regions, and with no education) were less likely to have had a Pap test when compared to those living in urban areas. Furthermore, women living in a neighbourhood with a higher prevalence of no education were less likely to have ever had a Pap test (p=0.005).

CONCLUSIONS

In Colombia, the probability of having had a Pap test is associated with personal attributes, area of residence, and prevalence of no education in the neighbourhood. Efforts to improve access to cervical cancer screening should focus on disadvantaged women with limited education, low socioeconomic status, and no health insurance or subsidised insurance, especially those in rural/isolated areas.

Identifying barriers to move to better health coverage: preferences for health insurance benefits among the rural poor population in La Guajira, Colombia

Even though access to health insurance in Colombia has improved since the implementation of the 1993 health reforms (Law 100), universal coverage has not yet been accomplished. There is still a segment of the population under the low-income (subsidized) health insurance policy or without health insurance altogether. The purpose of this research was to identify preferences and behavior regarding health insurance among the subsidized rural population in La Guajira, Colombia, and to understand why that population remains under the subsidized health insurance policy. The field experiment gathered information from 400 households regarding their socioeconomic situation, health conditions, and preferences for health insurance characteristics. Results suggest that the surveyed population gives priority to expanded family coverage, physician and hospital choice, and access to specialists, rather than to attributes associated with co-payments or premiums. That indicates that people value healthcare benefits and family coverage more than health insurance expenses, and policy makers could use these preferences to enroll subsidized population into the contributory regime.