Impact of International Monetary Fund programs on child health.

Parental education is located at the center of global efforts to improve child health. In a developing-country context, the International Monetary Fund (IMF) plays a crucial role in determining how governments allocate scarce resources to education and public health interventions. Under reforms mandated by IMF structural adjustment programs, it may become harder for parents to reap the benefits of their education due to wage contraction, welfare retrenchment, and generalized social insecurity. This study assesses how the protective effect of education changes under IMF programs, and thus how parents' ability to guard their children's health is affected by structural adjustment. We combine cross-sectional stratified data (countries, 67; children, 1,941,734) from the Demographic and Health Surveys and the Multiple Indicator Cluster Surveys. The sample represents ∼2.8 billion (about 50%) of the world's population in year 2000. Based on multilevel models, our findings reveal that programs reduce the protective effect of parental education on child health, especially in rural areas. For instance, in the absence of IMF programs, living in an household with educated parents reduces the odds of child malnourishment by 38% [odds ratio (OR), 0.62; 95% CI, 0.66-0.58]; in the presence of programs, this drops to 21% (OR, 0.79; 95% CI, 0.86-0.74). In other words, the presence of IMF conditionality decreases the protective effect of parents' education on child malnourishment by no less than 17%. We observe similar adverse effects in sanitation, shelter, and health care access (including immunization), but a beneficial effect in countering water deprivation.

Cross-country evidence on the social determinants of the post-socialist mortality crisis in Europe: a review and performance-based hierarchy of variables.

An unprecedented mortality crisis befell the former socialist countries between 1989 and 1995, representing one of the greatest demographic shocks of the period after the Second World War. While it is likely that country-level variation in the post-socialist mortality crisis in Eastern Europe can be explained by a constellation of political and socio-economic factors, no comprehensive review of the existing scholarly attempts at explaining these factors exists. We review 39 cross-national multi-variable peer reviewed studies of social determinants of mortality in post-socialist Europe in order to assess the social factors behind the post-socialist mortality crisis, determine the gaps in the existing literature and to make suggestions for future research. We propose a novel methodology to determine the relative importance of variables based on the ratio of significant to insignificant findings for each variable. The literature identifies inequality, welfare payments, religious composition, democracy, economic performance and unemployment as the leading factors that have a significant influence on mortality outcomes. Existing cross-country studies fail to establish a definitive connection between mortality and diets, drinking patterns, liberalisation, trust, health expenditure and war. We also point out that the level of analysis is not a neutral methodological choice but might influence the results themselves.

How structural adjustment programs affect inequality: A disaggregated analysis of IMF conditionality, 1980-2014.

This article highlights an important yet insufficiently understood international-level determinant of inequality in the developing world: structural adjustment programs by the International Monetary Fund (IMF). Studying a panel of 135 countries for the period 1980 to 2014, we examine income inequality using multivariate regression analysis corrected for non-random selection into both IMF programs and associated policy reforms (known as 'conditionality'). We find that, overall, policy reforms mandated by the IMF increase income inequality in borrowing countries. We also test specific pathways linking IMF programs to inequality by disaggregating conditionality by issue area. Our analyses indicate adverse distributional consequences for four policy areas: fiscal policy reforms that restrain government expenditure, external sector reforms stipulating trade and capital account liberalization, financial sector reforms entailing inflation-control measures, and reforms that restrict external debt. These effects occur one year after the incidence of an IMF program, and persist in the medium term. Taken together, our findings suggest that the IMF's recent attention to inequality neglects the multiple ways through which the organization's own policy advice has contributed to inequality in the developing world.

Structural adjustment programmes and infectious disease mortality.

International financial organisations like the International Monetary Fund (IMF) play a central role in shaping the developmental trajectories of fiscally distressed countries through their conditional lending schemes, known as 'structural adjustment programmes'. These programmes entail wide-ranging domestic policy reforms that influence local health and welfare systems. Using novel panel data from 187 countries between 1990 and 2017 and an instrumental variable technique, we find that IMF programmes lead to over 70 excess deaths from respiratory diseases and tuberculosis per 100,000 population and that IMF-mandated privatisation reforms lead to over 90 excess deaths per 100,000 population. Thus structural adjustment programmes, as currently designed and implemented, are harmful to population health and increase global infectious disease burdens.

Punitive Social Policy and Vital Inequality.

Geographical inequalities in life and death are among the world's most pronounced in the United States. However, the driving forces behind this macroscopic variation in population health outcomes remain surprisingly understudied, both empirically and theoretically. The present article steps into this breach by assessing a number of theoretically informed hypotheses surrounding the underlying causes of such spatial heterogeneity. Above and beyond a range of usual suspects, such as poverty, unemployment, and ethno-racial disparities, we find that a hitherto neglected explanans is prison incarceration. In particular, through the use of previously unavailable county-level panel data and a compound instrumentation technique suited to isolating exogenous treatment variation, high imprisonment rates are shown to substantially increase the population-wide risk of premature death. Our findings contribute to the political economy of population health by relating the rise of the carceral state to the amplification of geographically anchored unequal life chances.

Incarceration and mortality in the United States.

The ongoing COVID-19 pandemic has spotlighted the role of America's overcrowded prisons as vectors of ill health, but robust analyses of the degree to which high rates of incarceration impact population-level health outcomes remain scarce. In this paper, we use county-level panel data from 2927 counties across 43 states between 1983 and 2014 and a novel instrumental variable technique to study the causal effect of penal expansion on age-standardised cause-specific and all-cause mortality rates. We find that higher rates of incarceration have substantively large effects on deaths from communicable, maternal, neonatal, and nutritional diseases in the short and medium term, whilst deaths from non-communicable disease and from all causes combined are impacted in the short, medium, and long run. These findings are further corroborated by a between-unit analysis using coarsened exact matching and a simulation-based regression approach to predicting geographically anchored mortality differences.

Globalization and health equity: The impact of structural adjustment programs on developing countries.

Among the many drivers of health inequities, this article focuses on important, yet insufficiently understood, international-level determinants: economic globalization and the organizations that spread market-oriented policies to the developing world. One such organization is the International Monetary Fund (IMF), which provides financial assistance to countries in economic trouble in exchange for policy reforms. Through its 'structural adjustment programs,' countries around the world have liberalized and deregulated their economies. We examine how policy reforms prescribed in structural adjustment programs explain variation in health equity between nations-approximated by health system access and neonatal mortality. Our empirical analysis uses an original dataset of IMF-mandated policy reforms for a panel of up to 137 developing countries between 1980 and 2014. We employ regression analysis to evaluate the relationship between these reforms and health equity, taking into account the non-random selection and design of IMF programs. We find that structural adjustment reforms lower health system access and increase neonatal mortality. Additional analyses show that labor market reforms drive these deleterious effects. Overall, our evidence suggests that structural adjustment programs endanger the attainment of Sustainable Development Goals in developing countries.

Economic decline, incarceration, and mortality from drug use disorders in the USA between 1983 and 2014: an observational analysis.

BACKGROUND: Drug use disorders are an increasing cause of disability and early death in the USA, with substantial geographical variation. We aimed to investigate the associations between economic decline, incarceration rates, and age-standardised mortality from drug use disorders at the county level in the USA. METHODS: In this observational analysis, we examined age-standardised mortality data from the US National Vital Statistics System and the Institute for Health Metrics and Evaluation, household income data from the US Census Bureau, and county-level jail and prison incarceration data from the Vera Institute of Justice for 2640 US counties between 1983 and 2014. We also extracted data on county-level control variables from the US Census Bureau, the National Center for Health Statistics, and the US Centers for Disease Control and Prevention. We used a two-way fixed-effects panel regression to examine the association between reduced household income, incarceration, and mortality from drug use disorders within counties over time. To assess between-county variation, we used coarsened exact matching and a simulation-based modelling approach. FINDINGS: After adjusting for key confounders, each 1 SD decrease in median household income was associated with an increase of 12·8% (95% CI 11·0-14·6; p<0·0001) in drug-related deaths within counties. Each 1 SD increase in jail and prison incarceration rates was associated with an increase of 1·5% (95% CI 1·0-2·0; p<0·0001) and 2·6% (2·1-3·1; p<0·0001) in drug-related mortality, respectively. The association between drug-related mortality and income and incarceration persisted after controlling for local opioid prescription rates. Our model accounts for a large proportion of within-county variation in mortality from drug use disorders (R2=0·975). Between counties, high rates of incarceration were associated with a more than 50% increase in drug-related deaths. INTERPRETATION: Reduced household income and high incarceration rates are associated with poor health. The rapid expansion of the prison and jail population in the USA over the past four decades might have contributed to the increasing number of deaths from drug use disorders. FUNDING: None.

International Monetary Fund programs and tuberculosis outcomes in post-communist countries.

BACKGROUND: Previous studies have indicated that International Monetary Fund (IMF) economic programs have influenced health-care infrastructure in recipient countries. The post-communist Eastern European and former Soviet Union countries experienced relatively similar political and economic changes over the past two decades, and participated in IMF programs of varying size and duration. We empirically examine how IMF programs related to changes in tuberculosis incidence, prevalence, and mortality rates among these countries. METHODS AND FINDINGS: We performed multivariate regression of two decades of tuberculosis incidence, prevalence, and mortality data against variables potentially influencing tuberculosis program outcomes in 21 post-communist countries for which comparative data are available. After correcting for confounding variables, as well as potential detection, selection, and ecological biases, we observed that participating in an IMF program was associated with increased tuberculosis incidence, prevalence, and mortality rates by 13.9%, 13.2%, and 16.6%, respectively. Each additional year of participation in an IMF program was associated with increased tuberculosis mortality rates by 4.1%, and each 1% increase in IMF lending was associated with increased tuberculosis mortality rates by 0.9%. On the other hand, we estimated a decrease in tuberculosis mortality rates of 30.7% (95% confidence interval, 18.3% to 49.5%) associated with exiting the IMF programs. IMF lending did not appear to be a response to worsened health outcomes; rather, it appeared to be a precipitant of such outcomes (Granger- and Sims-causality tests), even after controlling for potential political, socioeconomic, demographic, and health-related confounders. In contrast, non-IMF lending programs were connected with decreased tuberculosis mortality rates (-7.6%, 95% confidence interval, -1.0% to -14.1%). The associations observed between tuberculosis mortality and IMF programs were similar to those observed when evaluating the impact of IMF programs on tuberculosis incidence and prevalence. While IMF programs were connected with large reductions in generalized government expenditures, tuberculosis program coverage, and the number of physicians per capita, non-IMF lending programs were not significantly associated with these variables. CONCLUSIONS: IMF economic reform programs are associated with significantly worsened tuberculosis incidence, prevalence, and mortality rates in post-communist Eastern European and former Soviet countries, independent of other political, socioeconomic, demographic, and health changes in these countries. Future research should attempt to examine how IMF programs may have related to other non-tuberculosis-related health outcomes.

Can a bank crisis break your heart?

BACKGROUND: To assess whether a banking system crisis increases short-term population cardiovascular mortality rates. METHODS: International, longitudinal multivariate regression analysis of cardiovascular disease mortality data from 1960 to 2002 RESULTS: A system-wide banking crisis increases population heart disease mortality rates by 6.4% (95% CI: 2.5% to 10.2%, p < 0.01) in high income countries, after controlling for economic change, macroeconomic instability, and population age and social distribution. The estimated effect is nearly four times as large in low income countries. CONCLUSION: Banking crises are a significant determinant of short-term increases in heart disease mortality rates, and may have more severe consequences for developing countries.

The association between income and life expectancy revisited: deindustrialization, incarceration and the widening health gap.

BACKGROUND: The health gap between the top and the bottom of the income distribution is widening rapidly in the USA, but the lifespan of America's poor depends substantially on where they live. We ask whether two major developments in American society, deindustrialization and incarceration, can explain variation among states in life expectancy of those in the lowest income quartile. METHODS: Life expectancy estimates at age 40 of those in the bottom income quartile were used to fit panel data models examining the relationship with deindustrialization and incarceration between 2001 and 2014 for all US states. RESULTS: A one standard deviation (s.d.) increase in deindustrialization (mean = 11.2, s.d. = 3.5) reduces life expectancy for the poor by 0.255 years [95% confidence interval (CI): 0.090-0.419] and each additional prisoner per 1000 residents (mean = 4.0, s.d. = 1.5) is associated with a loss of 0.468 years (95% CI: 0.213-0.723). Our predictors explain over 20% of the state-level variation in life expectancy among the poor and virtually the entire increase in the life expectancy gap between the top and the bottom income quartiles since the turn of the century. CONCLUSIONS: In the USA between 2001 and 2014, deindustrialization and incarceration subtracted roughly 2.5 years from the lifespan of the poor, pointing to their role as major health determinants. Future research must remain conscious of the upstream determinants and the political economy of public health. If public policy responses to growing health inequalities are to be effective, they must consider strengthening industrial policy and ending hyper-incarceration.

Effects of health and social care spending constraints on mortality in England: a time trend analysis.

OBJECTIVE: Since 2010, England has experienced relative constraints in public expenditure on healthcare (PEH) and social care (PES). We sought to determine whether these constraints have affected mortality rates. METHODS: We collected data on health and social care resources and finances for England from 2001 to 2014. Time trend analyses were conducted to compare the actual mortality rates in 2011-2014 with the counterfactual rates expected based on trends before spending constraints. Fixed-effects regression analyses were conducted using annual data on PES and PEH with mortality as the outcome, with further adjustments for macroeconomic factors and resources. Analyses were stratified by age group, place of death and lower-tier local authority (n=325). Mortality rates to 2020 were projected based on recent trends. RESULTS: Spending constraints between 2010 and 2014 were associated with an estimated 45 368 (95% CI 34 530 to 56 206) higher than expected number of deaths compared with pre-2010 trends. Deaths in those aged ≥60 and in care homes accounted for the majority. PES was more strongly linked with care home and home mortality than PEH, with each £10 per capita decline in real PES associated with an increase of 5.10 (3.65-6.54) (p<0.001) care home deaths per 100 000. These associations persisted in lag analyses and after adjustment for macroeconomic factors. Furthermore, we found that changes in real PES per capita may be linked to mortality mostly via changes in nurse numbers. Projections to 2020 based on 2009-2014 trend was cumulatively linked to an estimated 152 141 (95% CI 134 597 and 169 685) additional deaths. CONCLUSIONS: Spending constraints, especially PES, are associated with a substantial mortality gap. We suggest that spending should be targeted on improving care delivered in care homes and at home; and maintaining or increasing nurse numbers.

Structural adjustment and public spending on health: evidence from IMF programs in low-income countries.

The relationship between health policy in low-income countries (LICs) and structural adjustment programs devised by the International Monetary Fund (IMF) has been the subject of intense controversy over past decades. While the influence of the IMF on health policy can operate through various pathways, one main link is via public spending on health. The IMF has claimed that its programs enhance government spending for health, and that a number of innovations have been introduced to enable borrowing countries to protect health spending from broader austerity measures. Critics have pointed to adverse effects of Fund programs on health spending or to systematic underfunding that does not allow LICs to address health needs. We examine the effects of Fund programs on government expenditures on health in low-income countries using data for the period 1985-2009. We find that Fund programs are associated with higher health expenditures only in Sub-Saharan African LICs, which historically spent less than any other region. This relationship turns negative in LICs in other regions. We outline the implications of these findings for health policy in a development context.

Understanding the conviction of Binayak Sen: Neocolonialism, political violence and the political economy of health in the central Indian tribal belt.

The health of adivasis' (Scheduled Tribes or indigenous peoples) is far worse than the general Indian population. Binayak Sen, a renowned Indian public health practitioner, has worked with adivasis in central India for over thirty years. On Christmas Eve 2010 Sen was convicted of involvement with Maoist insurgents and sentenced to life in prison. Sen's conviction has been condemned by Amnesty International and Human Rights Watch, and medical journals such as The Lancet and the British Medical Journal are campaigning for his release. This short report addresses the apparently vexing question of how such a miscarriage of justice could happen to a well-reputed physician in a country that is widely referred to as 'the world's largest democracy'. Both Sen's conviction and the health crisis among adivasis in central India are symptoms of what Paul Farmer (2005) refers to as 'deeper pathologies of power'; specifically, the neocolonial political economy in which the state is very active in dispossessing adivasis but inactive in providing benevolent functions. Thus, the case demonstrates the manner in which public health is intimately related to social, economic and political processes.