Quality of nutritional status assessment and its relationship with the effect of rainfall on childhood stunting: a cross-sectional study in rural Burkina Faso.

OBJECTIVES: In Burkina Faso, one in every four children under 5 years is stunted. Climate change will exacerbate childhood stunting. Strengthening the health system, particularly the quality of nutrition care at primary health facilities, can minimise the adverse climate effect on stunting. Thus, we examined the quality of nutritional status assessment (QoNA) during curative childcare services in primary health facilities in rural Burkina Faso and its relationship with rainfall-induced childhood stunting. STUDY DESIGN: We conducted a cross-sectional analysis using anthropometric, rainfall, and clinical observation data. METHODS: Our dependent variable was the height-for-age z-score (HAZ) of children under 2 years. Our focal climatic measure was mean rainfall deviation (MRD), calculated as the mean of the difference between 30-year monthly household-level rainfall means and the corresponding months for each child from conception to data collection. QoNA was based on the weight, height, general paleness and oedema assessment. We used a mixed-effect multilevel model and analysed heterogeneity by sex and socio-economic status. RESULTS: Among 5027 young (3-23 months) children (mean age 12 ± 6 months), 21% were stunted (HAZ ≤ -2). The mean MRD was 11 ± 4 mm, and the mean QoNA was 2.86 ± 0.99. The proportion of children in low, medium, and high QoNA areas was 10%, 54%, and 36%, respectively. HAZ showed a negative correlation with MRD. Higher QoNA lowered the negative effect of MRD on HAZ (ß = 0.017, P = 0.003, confidence interval = [0.006, 0.029]). Males and children from poor households benefited less from the moderating effect of QoNA. CONCLUSION: Improving the quality of nutrition assessments can supplement existing efforts to reduce the adverse effects of climate change on children's nutritional well-being.

Knowledge of COVID-19 and the impact on indigents' access to healthcare in Burkina Faso.

BACKGROUND: COVID-19 constitutes a global health emergency of unprecedented proportions. Preventive measures, however, have run up against certain difficulties in low and middle-income countries. This is the case in socially and geographically marginalized communities, which are excluded from information about preventive measures. This study contains a dual objective, i) to assess knowledge of COVID-19 and the preventive measures associated with it concerning indigents in the villages of Diebougou's district in Burkina Faso. The aim is to understand if determinants of this understanding exist, and ii) to describe how their pathways to healthcare changed from 2019 to 2020 during the COVID-19 pandemic. METHODS: The study was conducted in the Diebougou healthcare district, in the south-west region of Burkina Faso. We relied on a cross-sectional design and used data from the fourth round of a panel survey conducted among a sample of ultra-poor people that had been monitored since 2015. Data were collected in August 2020 and included a total of 259 ultra-poor people. A multivariate logistic regression to determine the factors associated with the respondents' knowledge of COVID-19 was used. RESULTS: Half of indigents in the district said they had heard about COVID-19. Only 29% knew what the symptoms of the disease were. The majority claimed that they protected themselves from the virus by using preventive measures. This level of knowledge of the disease can be observed with no differences between the villages. Half of the indigents who expressed themselves agreed with government measures except for the closure of markets. An increase of over 11% can be seen in indigents without the opportunity for getting healthcare compared with before the pandemic. CONCLUSIONS: This research indicates that COVID-19 is partially known and that prevention measures are not universally understood. The study contributes to reducing the fragmentation of knowledge, in particular on vulnerable and marginalized populations. Results should be useful for future interventions for the control of epidemics that aim to leave no one behind.

How do the EMA and FDA decide which anticancer drugs make it to the market? A comparative qualitative study on decision makers' views.

BACKGROUND: The process leading to a regulatory outcome is guided by factors both related and unrelated to the data package, defined in this analysis as 'formal and informal factors', respectively. The aim of this qualitative study was to analyse which formal and informal factors drive the decision-making process of the European Medicines Agency (EMA) and Food and Drug Administration (FDA) regulators with regard to anticancer drugs, using in-depth semi-structured interviews with regulators of the two agencies. METHODS: In line with the theory and practice of qualitative research, no set sample size was defined a priori. Respondent enrolment continued until saturation and redundancy were reached. Data were collected through means of in-depth semi-structured interviews conducted either in a face-to-face setting or via Skype(®) with each regulator. The interviews were audio-recorded and verbatim transcribed. The analysis was manually carried out on the transcribed text. Data were independently coded and categorized by two researchers. Interpretation of the findings emerged through a process of triangulation between the two. RESULTS: Seven EMA and six FDA regulators, who had extensive experience with making decisions about anticancer medicines, were interviewed between April and June 2012. There is an open dialogue between the FDA and EMA, with the two moving closer and exchanging information, not opinions. Differences in decision-making between the agencies may be due to a different evaluation of end points. Different interaction modalities with industry and patients represent an additional source of divergence with a potential impact on decision-making. The key message of our respondents was that the agencies manage uncertainty in a different way: unlike the EMA, the FDA has a prevailing attitude to take risks in order to guarantee quicker access to new treatments. CONCLUSIONS: Although formal factors are the main drivers for regulatory decisions, the influence of informal factors plays an important role in the drug evaluation process.

The genesis of the PM-JAY health insurance scheme in India: technical and political elements influencing a national reform towards universal health coverage.

Many countries are using health insurance to advance progress towards universal health coverage (UHC). India launched the Pradhan Mantri Jan Arogya Yojana (PM-JAY) health insurance scheme in 2018. We examine the political economy context around PM-JAY policy formulation, by examining the perspectives of policy stakeholders shaping decisions around the reform. More specifically, we focus on early policy design at the central (national) level. We use a framework on the politics of UHC reform proposed by Fox and Reich (The politics of universal health coverage in low- and middle-income countries: A framework for evaluation and action. J. Health Polit. Policy Law 2015;40:1023-1060), to categorize the reform into phases and examine the interactions between actors, institutions, interests, ideas and ideology which shaped reform decisions. We interviewed 15 respondents in Delhi between February and April 2019, who were either closely associated with the reform process or subject experts. The ruling centre-right government introduced PM-JAY shortly before national elections, drawing upon policy legacies from prior and state insurance schemes. Empowered policy entrepreneurs within the government focused discourse around ideas of UHC and strategic purchasing, and engaged in institution building leading to the creation of the National Health Authority and State Health Agencies through policy directives, thereby expanding state infrastructural and institutional power for insurance implementation. Indian state inputs were incorporated in scheme design features like mode of implementation, benefit package and provider network, while features like the coverage amount, portability of benefits and branding strategy were more centrally driven. These balanced negotiations opened up political space for a cohesive, central narrative of the reform and facilitated adoption. Our analysis shows that the PM-JAY reform focused on bureaucratic rather than ideological elements and that technical compromises and adjustments accommodating the interests of states enabled the political success of policy formulation. Appreciating these politics, power and structural issues shaping PM-JAY institutional design will be important to understand how PM-JAY is implemented and how it advances UHC in India.

How far is mixed methods research in the field of health policy and systems in Africa? A scoping review.

Both the academic and the policy community are calling for wider application of mixed methods research, suggesting that combined use of quantitative and qualitative methods is most suitable to assess and understand the complexities of health interventions. In spite of recent growth in mixed methods studies, limited efforts have been directed towards appraising and synthetizing to what extent and how mixed methods have been applied specifically to Health Policy and Systems Research (HPSR) in low- and middle-income countries (LMICs). We aimed at filling this gap in knowledge, by exploring the scope and quality of mixed methods research in the African context. We conducted a scoping review applying the framework developed by Arksey and O'Malley and modified by Levac et al. to identify and extract data from relevant studies published between 1950 and 2013. We limited our search to peer-reviewed HPSR publications in English, which combined at least one qualitative and one quantitative method and focused on Africa. Among the 105 studies that were retained for data extraction, over 60% were published after 2010. Nearly 50% of all studies addressed topics relevant to Health Systems, while Health Policy and Health Outcomes studies accounted respectively for 40% and 10% of all publications. The quality of the application of mixed methods varied greatly across studies, with a relatively small proportion of studies stating clearly defined research questions and differentiating quantitative and qualitative elements, including sample sizes and analytical approaches. The methodological weaknesses observed could be linked to the paucity of specific training opportunities available to people interested in applying mixed methods to HPSR in LMICs as well as to the limitations on word limit, scope and peer-review processes at the journals levels. Increasing training opportunities and enhancing journal flexibility may result in more and better quality mixed methods publications.

The impact of user fee removal policies on household out-of-pocket spending: evidence against the inverse equity hypothesis from a population based study in Burkina Faso.

BACKGROUND: User fee removal policies have been extensively evaluated in relation to their impact on access to care, but rarely, and mostly poorly, in relation to their impact on household out-of-pocket (OOP) spending. This paucity of evidence is surprising given that reduction in household economic burden is an explicit aim for such policies. Our study assessed the equity impact on household OOP spending for facility-based delivery of the user fee reduction policy implemented in Burkina Faso since 2007 (i.e., subsidised price set at 900 Communauté Financière Africaine francs (CFA) for all, but free for the poorest). Taking into account the challenges linked to implementing exemption policies, we aimed to test the hypothesis that the user fee reduction policy had favoured the least poor more than the poor. METHODS: We used data from six consecutive rounds (2006-2011) of a household survey conducted in the Nouna Health District. Primary outcomes are the proportion of households being fully exempted (the poorest 20% according to the policy) and the actual level of household OOP spending on facility-based delivery. The estimation of the effects relied on a Heckman selection model. This allowed us to estimate changes in OOP spending across socio-economic strata given changes in service utilisation produced by the policy. FINDINGS: A total of 2,316 women reported a delivery between 2006 and 2011. Average household OOP spending decreased from 3,827 CFA in 2006 to 1,523 in 2011, without significant differences across socio-economic strata, neither in terms of households being fully exempted from payment nor in terms of the amount paid. Payment remained regressive and substantially higher than the stipulated 900 CFA. CONCLUSIONS: The Burkinabè policy led to a significant and sustained reduction in household OOP health spending across all socio-economic groups, but failed to properly target the poorest by ensuring a progressive payment system.