A systematic scoping review of medicine availability and affordability in Africa.

BACKGROUND: The most recent World Medicines Situation Report published in 2011 found substantial medicine availability and affordability challenges across WHO regions, including Africa. Since publication of the 2011 report, medicine availability and affordability has risen on the international agenda and was included in the Sustainable Development Goals as Target 3.8. While numerous medicine availability and affordability studies have been conducted in Africa since the last World Medicines Situation Report, there has not been a systematic analysis of the methods used in these studies, measures of medicine availability and affordability, categories of medicines studied, or geographic distribution. Filling this knowledge gap can help inform future medicine availability and affordability studies, design systems to monitor progress toward Sustainable Development Goal Target 3.8 in Africa and beyond, and inform policy and program decisions to improve medicine availability and affordability. METHODS: We conducted a systematic scoping review of studies assessing medicine availability or affordability conducted in the WHO Africa region published from 2009-2021. RESULTS: Two hundred forty one articles met our eligibility criteria. 88% of the articles (213/241) reported descriptive studies, while 12% (28/241) reported interventional studies. Of the 198 studies measuring medicine availability, the most commonly used measure of medicine availability was whether a medicine was in stock on the date of a survey (124/198, 63%). We also identified multiple other availability methods and measures, including retrospective stock record reviews and self-reported medicine availability surveys. Of the 59 articles that included affordability measures, 32 (54%) compared the price of the medicine to the daily wage of the lowest paid government worker. Other affordability measures were patient self-reported affordability, capacity to pay measures, and comparing medicines prices with a population-level income standard (such as minimum wage, poverty line, or per capita income). The most commonly studied medicines were antiparasitic and anti-bacterial medicines. We did not identify studies in 22 out of 48 (46%) countries in the WHO Africa Region and more than half of the studies identified were conducted in Ethiopia, Kenya, Tanzania, and/or Uganda. CONCLUSION: Our results revealed a wide range of medicine availability and affordability assessment methodologies and measures, including cross-sectional facility surveys, population surveys, and retrospective data analyses. Our review also indicated a need for greater focus on medicines for certain non-communicable diseases, greater geographic diversity of studies, and the need for more intervention studies to identify approaches to improve access to medicines in the region.

A framework policy analysis of national health insurance policymaking in sub-Saharan Africa.

National health insurance (NHI) is a financing mechanism established by a national government with the goal of covering all or almost all of its citizens. A number of low- and middle-income countries have established NHIs as part of a strategy to progress towards universal health coverage. The establishment of an NHI presents a potentially significant shift in national health sector governance, but little is available in the literature regarding how policymaking authority and health governance is shared between NHIs and ministries of health (MOHs). To answer this question, we conducted a descriptive, qualitative comparative analysis of policies, including legislation, guidelines and webpages, from four sub-Saharan African countries that have established or are in the process of establishing an NHI scheme as of 2019 (Ghana, Kenya, Zambia and South Africa). We developed a novel conceptual framework comprising 16 NHI policy domains and conducted a deductive review of relevant policies. We then extracted and indexed policy elements according to this framework to facilitate comparative analysis. We found substantial variation across countries in the types of policies developed and the decision-making authority around those policies. MOHs in all four countries retained at least some decision-making power over the NHIs through regulations and appointment of board members. However, NHIs were often delegated policymaking authority in key areas including financing mechanisms, provider payments, member payments, benefit schemes, accreditation and relationships with private health insurance schemes. The results of this analysis illustrate many aspects of health regulatory power and oversight that will need to be defined as part of establishing NHIs. The approaches from these four countries and the conceptual framework presented in this manuscript may be helpful for other countries in evaluating differing approaches to shared health governance between NHIs and MOHs.

Strengthening policy coding methodologies to improve COVID-19 disease modeling and policy responses: a proposed coding framework and recommendations.

BACKGROUND: In recent months, multiple efforts have sought to characterize COVID-19 social distancing policy responses. These efforts have used various coding frameworks, but many have relied on coding methodologies that may not adequately describe the gradient in social distancing policies as states "re-open." METHODS: We developed a COVID-19 social distancing intensity framework that is sufficiently specific and sensitive to capture this gradient. Based on a review of policies from a 12 U.S. state sample, we developed a social distancing intensity framework consisting of 16 domains and intensity scales of 0-5 for each domain. RESULTS: We found that the states with the highest average daily intensity from our sample were Pennsylvania, Washington, Colorado, California, and New Jersey, with Georgia, Florida, Massachusetts, and Texas having the lowest. While some domains (such as restaurants and movie theaters) showed bimodal policy intensity distributions compatible with binary (yes/no) coding, others (such as childcare and religious gatherings) showed broader variability that would be missed without more granular coding. CONCLUSION: This detailed intensity framework reveals the granularity and nuance between social distancing policy responses. Developing standardized approaches for constructing policy taxonomies and coding processes may facilitate more rigorous policy analysis and improve disease modeling efforts.

Subcellular targeting is a key condition for high-level accumulation of cellulase protein in transgenic maize seed.

Ethanol from lignocellulosic biomass is being pursued as an alternative to petroleum-based transportation fuels. To succeed in this endeavour, efficient digestion of cellulose into monomeric sugar streams is a key step. Current production systems for cellulase enzymes, i.e. fungi and bacteria, cannot meet the cost and huge volume requirements of this commodity-based industry. Transgenic maize (Zea mays L.) seed containing cellulase protein in embryo tissue, with protein localized to the endoplasmic reticulum, cell wall or vacuole, allows the recovery of commercial amounts of enzyme. E1 cellulase, an endo-beta-1,4-glucanase from Acidothermus cellulolyticus, was recovered at levels greater than 16% total soluble protein (TSP) in single seed. More significantly, cellobiohydrolase I (CBH I), an exocellulase from Trichoderma reesei, also accumulated to levels greater than 16% TSP in single seed, nearly 1000-fold higher than the expression in any other plant reported in the literature. The catalytic domain was the dominant form of E1 that was detected in the endoplasmic reticulum and vacuole, whereas CBH I holoenzyme was present in the cell wall. With one exception, individual transgenic events contained single inserts. Recovery of high levels of enzyme in T2 ears demonstrated that expression is likely to be stable over multiple generations. The enzymes were active in cleaving soluble substrate.