Optimizing health literacy: improving health and reducing health inequities: a selection of information sheets from the health literacy toolkit for low- and middle-income countries

This series of information sheets introduces health literacy, its relevance to public policy, and the ways it can be used to inform the promotion of good health, the prevention and management of communicable and noncommunicable diseases, and the reduction of health inequities. It provides information and links to further resources to assist organizations and governments to incorporate health literaacy responses into practice, service delivery systems, and policy.

Health literacy toolkit for low and middle-income countries: a series of information sheets to empower communities and strengthen health systems

This series of information sheets introduces health literacy, its relevance to public policy, and the ways it can be used to inform the promotion of good health, the prevention and management of communicable and noncommunicable diseases, and the reduction of health inequities. It provides information and links to further resources to assist organizations and governments to incorporate health literacy responses into practice, service delivery systems, and policy.

Energy consumption and income in six Asian developing countries: a multivariate cointegration analysis

 This article examines the short- and long-run causal relationship between energy consumption and GDP of six emerging economies of Asia. Based on cointegration and vector error correction modeling the empirical results show that there exists unidirectional short- and long-run causality running from energy consumption to GDP for China, uni-directional short-run causality from output to energy consumption for India, whilst bi-directional short-run causality for Thailand. Neutrality between energy consumption and income is found for Indonesia, Malaysia and Philippines. Both the generalized variance decompositions and impulse response functions confirm the direction of causality. These findings have important policy implications for the countries concerned. The results suggest that while India may directly initiate energy conservation measures, China and Thailand may opt for a balanced combination of alternative polices.

The role of rice in poverty dynamics in rural Vietnam: 2002–2008

Using the Vietnamese Household Living Standards Surveys of 2002, 2004, 2006, and 2008, this paper investigates the role of rice in poverty dynamics in the recent context of Vietnam. We find that sizeable changes in rice prices in the 2000s, which were driven largely by the country's integration into the world markets, have not helped rural households escape poverty, even for households with large-scale rice production. Our results also document that changes in rice output and productivity did not help mitigate poverty either. The paper provides evidence to explain why a substantial exogenous increase in the rice prices between 2006 and 2008 did not help rural households to move out of poverty, while similar changes did help in the 1990s.

The geopolitical economy of social policy in the Philippines: securitisation, emerging powers and multilateral policies

Recent geopolitical and economic changes have altered global social policy formation. Bretton Woods multilateral development agencies (MDAs) have selectively incorporated ideas that have emerged from developing country states and decision makers. Recent years have witnessed an increased acceptance of social transfers as part of renewed efforts at poverty alleviation policies based on social risk management. There has been an instance in the use and promotion of conditional cash transfer (CCT) policies by MDAs. One case is the Philippines. CCTs were a product of the emergence of a neostructuralist welfare regime (understood as an ideal type) in Latin America. There was an attempt to reconcile neoliberal strategies of development with aspirations for guaranteed minimum incomes. The Bretton Woods and regional development bank MDAs have facilitated the adoption of CCTs in other developing country contexts. In the Philippines, a combination of actions by national political actors and MDAs resulted in the implementation of a securitised and compliance-focused version of CCTs derived from the Colombian security state. Although poor households welcome income assistance, CCTs have acted to enforce further state monitoring without altering the national-based political and economic processes that replicate poverty.

NONFARM ACTIVITY AND POVERTY REDUCTION IN RURAL VIETNAM: 2002-2008

This paper uses the Vietnamese Households Living Standards Surveys of 2002, 2004, 2006and 2008 to examine the effects of nonfarm activity on poverty in rural Vietnam. We show that nonfarm activity helps the poor, but not the poorest, given that households need to own a minimum level of endowment to partake in nonfarm activity. We find an inverted-U shaped relationship between households’ endowment levels and the probability of participating in nonfarm activity. Also, in contrast to previous studies which largely by-passed the endogeneity of nonfarm activity, we instrument it with nonfarm networks, and find that nonfarm activity plays an important role in poverty reduction, however, this impact decreases over time.

Understanding poverty and promoting poverty alleviation through transformative consumer research

Consumer research holds potential for expanding society's understanding of how people experience poverty and mechanisms for poverty alleviation. Capitalizing on this potential, however, will require more exploration of how consumption experiences shape individual and collective well-being among the poor. This article proposes a framework for transformative consumer research focused on felt deprivation and power within the lived experience of poverty. The framework points to consumer choice, product/service experiences, consumer culture, marketplace forces, and consumption capabilities as research streams with potential to help alleviate poverty. Future research in these areas will expand pathways for transforming the lives of the poor by alleviating stress, engaging marketplace institutions, fulfilling life aspirations, leveraging trust and social capital, and facilitating creativity and adaptation.

Applying a transformative consumer research lens to understanding and alleviating poverty

Increasing attention to global poverty and the development of market-based solutions for poverty alleviation continues to motivate a broad array of academicians and practitioners to better understand the lives of the poor. Yet, the robust perspectives residing within consumer research remain to a large degree under-utilized in these pursuits. This paper articulates how applying a transformative consumer research (TCR) lens to poverty and its alleviation can generate productive insights with potential to positively transform the well-being of poor consumers.

Conflicts at the bottom of the pyramid: profitability, poverty alleviation, and neoliberal governmentality

This article adopts the concept of neoliberal governmentality to critically analyze public policy failures in a bottom-of-the-pyramid (BOP) marketing initiative. This research shows that e-Choupal, an Indian BOP initiative, is hampered by a divide between poverty alleviation and profit seeking, which is inadequately reconciled by the neoliberal government policies that dominate contemporary India. The initiative sounds good, even noble, but becomes mired in divergent discourses and practices that ultimately fail to help the poor whom it targets. This research helps explicate the problems with BOP policy interventions that encourage profit seeking as a way to alleviate poverty.

‘It should be a big responsibility’: Separated low-income mothers’ evaluation of child support arrangements and the conduct of fathers

The Australian Child Support Scheme was established as a means of ensuring adequate financial support for children of separated parents. However, within the financial transfer of child support exist notions of ‘trust’ and ‘fairness’ based on parents navigating their changed relationship post-separation. Previous research has explored the assessment and outcomes of child support for both payee and payer parents, however little attention has been given to how women evaluate the assessment and outcomes of child support. As such, this research aimed to explore payee mothers’ evaluation of their child support experiences based on the value of their child support assessment and the extent to which these payments were received. Following the methods of constructivist grounded theory, in-depth interviews were conducted with 20 low-income single mothers. Analysis revealed that payee mothers evaluated child support based on the moral assumptions and the rationalities they perceived were underlying payer fathers’ child support compliance. While payee mothers desired arrangements that reflected joint parental financial responsibility, in reality many experienced problematic child support payments, which may ultimately undermine payee parents’ confidence in the Child Support Scheme.

Assessment of acute burn management in 32 low- and middle-income countries

BACKGROUND: The purpose of this study is to ascertain whether acute burn management (ABM) is available at health facilities in low- and middle-income countries (LMICs). METHOD: The study used the World Health Organization situational analysis tool (SAT) which is designed to assess emergency and essential surgical care and includes data points relevant to the acute management of burns. The SAT was available for 1413 health facilities in 59 countries. RESULTS: A majority (1036, 77.5 %) of the health facilities are able to perform ABM. The main reasons for the referral of ABM are lack of skills (53.4 %) and non-functioning equipment (52.2 %). Considering health centres and district/rural/community hospitals that referred due to lack of supplies/drugs and/or non-functioning equipment, almost half of the facilities were not able to provide continuous and consistent access to the equipment required either for resuscitation or to perform burn wound debridement. Out of the facilities that performed ABM, 379 (36.6 %) are capable of carrying out skin grafts and contracture release, which is indicative of their ability to manage full thickness burns. However the magnitude of full thickness burns managed was limited in half of these facilities, as they did not have access to a blood bank. CONCLUSION: The initial management of acute burns is generally available in LMICs, however it is constrained by the inability to perform resuscitation (19 %) and/or burn wound debridement (10 %). For more severe burns, an inability to perform skin grafting or contracture release limits definitive management of full thickness burns, whilst lack of availability to blood further compromises the treatment of major burns.

Fusing data mining, machine learning and traditional statistics to detect biomarkers associated with depression

BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study.

METHODS: The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009-2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators.

RESULTS: After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (p<0.001).

CONCLUSION: The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling methodology and was demonstrated to be a useful tool for detecting three biomarkers associated with depression for future hypothesis generation: red cell distribution width, serum glucose and total bilirubin.