Digital Economy and Health: Does Green Technology Matter in BRICS Economies?

The present study attempts to examine the impact of digitization and green technology on the health outcomes of BRICS countries over the period of 1993–2019. Internet users measure digitalization, and health outcome is determined by life expectancy. The study employed the ARDL estimation approach for empirical investigation of country-specific analysis. GDP per capita and current health expenditures have been incorporated as control variables. The study findings reveal that digitalization results in increasing life expectancy in the long-run in BRICS except for Brazil. While green technology tends to enhance life expectancy in the long-run in Russia and China, it produces an insignificant impact on health outcomes in the short-run. While GDP and health expenditures also improve life expectancy in mostly BRICS economies in the long-run and short-run. Our study provides some policy implications for BRICS nations.

Improving Take-Up by Reaching Out to Potential Beneficiaries. Insights from a Large-Scale Field Experiment in Belgium

Non-take-up of means-tested benefits is a widespread phenomenon which undermines the effectiveness and fairness of social policies. The digitalisation of the welfare state creates new opportunities for proactively contacting people who are potentially entitled to benefits, but do not take up their social rights. In this study, we report on how new data flows were used to reach out to potential beneficiaries of the Increased Reimbursement of health care, a programme targeted at low-income households in Belgium. By randomizing the period in which potential beneficiaries were contacted, we were able to identify a three- to four-fold increase in take-up among those contacted as a result of the outreaching activities. Households that did not respond to the intervention, the never takers, have lower pre-intervention healthcare expenditures. This suggests that non-take-up was reduced primarily among those who would expect to benefit most from receiving the Increased Reimbursement. Exploiting the combination of rich administrative data with experimental evidence, we also find that early responders are mostly older and have higher historic health expenditures than late responders. Furthermore, results point to the need for balancing well the inclusiveness of the intervention with an increased number of applications by ineligible people.

Household financial burden associated with health care for older people in Viet Nam: A cross-sectional survey

Background Population ageing and the associated increase in the health care needs of older people are putting pressure on the health care system in Viet Nam. The country prioritizes health care for older people and has developed financial protection policies to mitigate financial hardship due to out-of-pocket health expenditures (OOPHEs) borne by their households. This study examines the level and determinants of the financial burden of OOPHE among households with people aged ≥60 years in Viet Nam. Methods A cross-sectional household survey was conducted among a sample of 1536 older people living in 1477 households in three provinces representing the North, Central and South regions of Viet Nam during 2019–2020. The financial outcomes were catastrophic health expenditure (CHE), using the World Health Organization's definition, and financial distress due to OOPHE. Multivariate binary logistic regression analysis was employed to determine the factors associated with these outcomes. Results OOPHE for older household members accounted for 86.3% of total household health expenditure. Of households with older people, 8.6% (127) faced CHE, and 12.2% (181) experienced financial distress due to OOPHE. Households were at a higher risk of incurring financial burdens related to health expenditures if they had fewer household members; included only older people; were in rural or remote, mountainous areas; and had older members with noncommunicable diseases. There was no significant association between health insurance coverage and financial burden. However, when older people sought tertiary care or private care, the possibility of a household facing CHE increased. Regardless of the type and level of care, health service utilization by older people results in a higher likelihood of a household encountering financial distress. Conclusions This study reveals that OOPHE for older people can impose substantial financial burdens on households, leading them to face CHE and financial distress. This study provides evidence to justify reforming financial protection policies and introducing policy interventions targeted at better protecting older people and their households from the financial consequences of OOPHE. There is also the need to strengthen the grassroots health facilities to provide primary care closer to home at lower costs, particularly for the management of noncommunicable diseases.

Impact of Environment, Life Expectancy and Real GDP per Capita on Health Expenditures: Evidence from the EU Member States

This research explores the impact of environment, life expectancy, and real GDP per capita on health expenditures in a sample of 27 EU member states over the 2000–2018 period through causality and cointegration analyses. The causality analysis revealed a significant unilateral causality from variables of greenhouse gas emissions, life expectancy, and real GDP per capita to health expenditures. In other words, greenhouse gas emissions, life expectancy, and real GDP per capita had a significant impact on health expenditures in the short run. The cointegration analysis indicated that life expectancy and real GDP per capita had a significant positive impact on health expenditures at the overall panel. On the other side, the country level cointegration coefficients revealed that life expectancy had a considerable positive impact on health expenditures, real GDP per capita had a moderate positive impact on the health expenditures in most of the countries in the panel, but the environment proxied by greenhouse gas emissions had a low positive or negative impact on the health expenditures in a limited number of countries.

Estimating Cost-Effectiveness Thresholds Under a Managed Healthcare System: Experiences from Colombia

Like most of the world, low- and middle-income countries have faced a growing demand for new health technologies and higher budget constraints. It is necessary to have technical instruments to make decisions based on real-world evidence that allows maximization of the population’s health with a limited budget. We estimated the supply-based cost-effectiveness elasticity, which was then used to determine the cost-effectiveness threshold for the healthcare system of Colombia, a middle-income country where multiple insurers, paid under capitation rules, manage the compulsory contributions of the citizens and government subsidies. Using administrative data, we explored the variation of health expenditures and outcomes at the insurer, geographical region, diagnosis group, and year levels. To deal with endogeneity in a two-way fixed-effects model, we instrumented health expenditures using characteristics of the health system such as drug-price regulation. We estimated the threshold to be US$ 4487.5 per YLL avoided (14.7 million COP at 2019 prices) and US$ 5180.8 per QALY gained (17 million COP at 2019 prices), around one times the GDP per capita. To our knowledge, this is the first estimation of the cost-effectiveness threshold elasticity supply-based in a middle-income country with a managed care health system.

Adoption and Profitability of the Purdue Improved Crop Storage Technology for Grain Storage in the South-Central Regions of Niger

Cowpea is a food security crop and a main source of income for farmers in Niger. However, postharvest storage remains a major challenge due to insect pest attacks. Since 2008, the Purdue Improved Crop Storage (PICS) bags were disseminated in Niger to reduce storage losses. This study was conducted to assess the adoption of the PICS technology in the Dosso, Maradi, and Zinder regions of Niger. We interviewed 600 households selected from villages that did and did not benefit from PICS extension activities. A logit regression model was used to assess the decision of farmers to adopt the PICS technology. The overall adoption of the PICS bags among farmers was 48.4%. PICS adoption was 69.7% in Dosso, 41.3% in Zinder, and 31.2% in Maradi. Farmers who attended PICS training were 5 times more likely to adopt the technology than those who did not. Variables that affected the adoption of the PICS technology included the region, participation in PICS training, and information source. Beyond cowpea, PICS bags were used to store a variety of crops including Bambara nuts, hibiscus seeds, peanuts, millet, and sorghum. Storing 100 kg of cowpea in a PICS bag generated a cash flow of $70.38 per respondent and a net return of $21.50. Revenues generated from sales of cowpea stored in PICS bags were mostly used for health expenditures and to purchase agricultural inputs. Results of this study demonstrate that pest management technologies such as PICS bags can also contribute to improving the livelihood of family farms.

The price of curing cancer

Background Health care systems around the world struggle with high prices for new cancer drugs. The purpose of this study was to conduct a gedankenexperiment and calculate how much health expenditures would change if a cure for cancer through pharmaceutical treatment were made available. The cancer cure was conceived to eliminate both cancer deaths and the underlying morbidity burden of cancer. Furthermore, the cure was hypothesized to arrive in incremental steps but at infinitesimally small time intervals (resulting, effectively, in an immediate cure). Methods The analysis used secondary data and was conducted from the viewpoint of the German social health insurance. As its underlying method, it used a cause-elimination life-table approach. To account for the age distribution of the population, the study weighted age-specific increases in remaining life expectancy by age-specific population sizes. It considered drug acquisition costs as well as savings and life extension costs from eliminating cancer. All cancer drugs that underwent a mandatory early benefit assessment in Germany between 2011 and 2015/16 and were granted an added benefit were included. Data on age- and gender-specific probabilities of survival, population sizes, causes of death, and health expenditures, as well as data on cancer costs were taken from the German Federal Office of Statistics and the German Federal Social Insurance Office. Results Based on the cause-elimination life-table approach and accounting for the age structure of the German population, curing cancer in Germany yields an increase in average remaining life expectancy by 2.66 life years. Based on the current incremental cost-effectiveness ratio of new cancer drugs, which is on average €101,493 per life year gained (€39,751/0.39 life years), the German social health insurance would need to pay €280,497 per insuree to eliminate cancer. Dividing this figure by current average remaining lifetime health expenditures yields a ratio of 2.07, which represents a multiplier of current health expenditures. Conclusions Eliminating cancer at current price levels would more than triple total health expenditures in Germany. As the current price of a cure requires a drastic reduction of non-health consumption, it appears that current prices for cancer drugs already on the market (i.e., small steps towards a cure) need careful reconsideration.

Who Have a Higher Risk of Falling Into Catastrophic Health Expenditures?

Catastrophic health expenditure is one of the challenges Indonesia faces in achieving Universal Health Coverage. Aside from being a financial disaster, the incident caused by out-of-pocket health expenditure exceeding a fixed limit can drive people into poverty. Unfortunately, the availability of the data causes the limitation of the study in Indonesia. This study aims to analyze the association between catastrophic health expenditure and several social-economic factors by using the latest data of out-of-pocket expenditure collected at the individual level from the 2019 Susenas Module of Health and Housing. Using the Chi-square test, this study confirms a significant association between catastrophic health expenditures and the following social-economic factors: outpatient and inpatient service use, health insurance ownership, age, sex, marital status, educational level, work status, welfare status, type of area, and geographic location. From the logistic regression, the probability of the population to experience catastrophic health expenditure is higher for people in the following categories: use inpatient or outpatient services, do not have health insurance, are elderly, ever-married, not working, not poor, and live in the rural areas or Java island. Disaggregation by outpatient and inpatient service use shows the large gap in the probability of falling into catastrophic health expenditures. The probability for people who used inpatient service is more than four times people who never used the service. Meanwhile, for outpatient service, the probability is almost three times. Therefore, people can strengthen preventive care, especially those with low or no cost, to avoid falling into catastrophic health expenditure.