Antimicrobial stewardship interventions in least developed and low-income countries: a systematic review protocol.

INTRODUCTION Antimicrobial resistance (AMR) is increasing in low resource settings. It complicates the management of infectious diseases and is an increasing cause of death. This is due to, among other things, lack of health resources for appropriate diagnosis and unregulated access to antimicrobials in the public sphere. Developing context-specific interventions that enable judicious use of antimicrobials is important to curb this problem. METHODS We will conduct a systematic review of antimicrobial stewardship (AMS) approaches in Development Assistance Committee in least developed and low-income countries. The inclusion criteria are antimicrobial stewardship interventions in hospitalised patients of all age groups and exclusion criteria are community-based trials and studies that solely focus on viral, fungal or parasite infections. Antimicrobial stewardship interventions will be classified as structural, enabling, persuasive, restrictive or combined. Outcomes of included studies will be classified as clinical, microbiological or behavioural outcomes. The studies to be included will be randomised controlled trials, controlled before-after studies, interrupted time series trials, cohort and qualitative studies. Data will be extracted using forms adapted from the Cochrane collaboration data collection form. This systematic review will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and risk of bias will be done according to the Integrated quality Criteria for Review of Multiple Study Designs. ETHICS AND DISSEMINATION Our findings will be presented to clinicians and policymakers, to support developing AMS protocols for low resource settings. We will publish our results in peer-reviewed journals. TRIAL REGISTRATION NUMBER CRD42020210634

Protocols, policies and practices for antimicrobial stewardship in hospitalized patients in least-developed and low-income countries: a systematic review

Background: We aimed to identify interventions used to implement antimicrobial stewardship practices among hospitalized patients in least-developed countries. Methods: The research team searched PubMed, EMBASE, and Cochrane Central Register of Controlled Trials for studies of AMS interventions in the least developed and low-income countries, published between 2000 and 2023. Included studies had a population of hospitalized patients of all age groups in least-developed countries, implemented an AMS intervention, and reported its impact on prescription practices, clinical outcomes, or microbiological results. The risk of bias was assessed using the integrated quality criteria for review of multiple study designs. A total of 443 articles were identified, 386 articles were screened, 16 full-text papers were reviewed, and 10 studies were included in the analysis. Results: The ten studies included three controlled before and after, two qualitative, one controlled interrupted time series, two non-controlled interrupted time series, one quasi-experimental study, and one randomized controlled trial. Three studies implemented either enabling, persuasive, or structural interventions respectively. The rest used bundled strategies, including a combination of persuasive, enabling, structural, and restrictive interventions. Bundled interventions using enabling and persuasive strategies were the most common. These involved creating a prescription guideline, training prescribers on updated methods, and subsequent review and feedback of patient files by members of an AMS team. Improved microbiological surveillance was important to most studies but, sustained improvement in appropriate prescriptions was dependent on enabling or persuasive efforts. Studies noted significant improvements in appropriate prescriptions and savings on the costs of antibiotics. None evaluated the impact of AMS on AMR. Conclusion: AMS practices generally involve multiple strategies to improve prescription practices. In the setting of least-developed countries, enabling and persuasive interventions are popular AMS measures. However, measured outcomes are heterogeneous, and we suggest that further studies assessing the impact of AMS should report changes in AMR patterns (microbiological outcomes), patient length of stay and mortality (patient outcomes), and changes in prescription practices (prescription outcomes). Reporting on these as outcomes of AMS interventions could make it easier for policymakers to compare which interventions have desirable outcomes that can be generalized to similar settings

Identifying prognostic factors of severe metabolic acidosis and uraemia in African children with severe falciparum malaria: a secondary analysis of a randomized trial.

BACKGROUND: Severe metabolic acidosis and acute kidney injury are major causes of mortality in children with severe malaria but are often underdiagnosed in low resource settings. METHODS: A retrospective analysis of the 'Artesunate versus quinine in the treatment of severe falciparum malaria in African children' (AQUAMAT) trial was conducted to identify clinical features of severe metabolic acidosis and uraemia in 5425 children from nine African countries. Separate models were fitted for uraemia and severe metabolic acidosis. Separate univariable and multivariable logistic regression were performed to identify prognostic factors for severe metabolic acidosis and uraemia. Both analyses adjusted for the trial arm. A forward selection approach was used for model building of the logistic models and a threshold of 5% statistical significance was used for inclusion of variables into the final logistic model. Model performance was assessed through calibration, discrimination, and internal validation with bootstrapping. RESULTS: There were 2296 children identified with severe metabolic acidosis and 1110 with uraemia. Prognostic features of severe metabolic acidosis among them were deep breathing (OR: 3.94, CI 2.51-6.2), hypoglycaemia (OR: 5.16, CI 2.74-9.75), coma (OR: 1.72 CI 1.17-2.51), respiratory distress (OR: 1.46, CI 1.02-2.1) and prostration (OR: 1.88 CI 1.35-2.59). Features associated with uraemia were coma (3.18, CI 2.36-4.27), Prostration (OR: 1.78 CI 1.37-2.30), decompensated shock (OR: 1.89, CI 1.31-2.74), black water fever (CI 1.58. CI 1.09-2.27), jaundice (OR: 3.46 CI 2.21-5.43), severe anaemia (OR: 1.77, CI 1.36-2.29) and hypoglycaemia (OR: 2.77, CI 2.22-3.46) CONCLUSION: Clinical and laboratory parameters representing contributors and consequences of severe metabolic acidosis and uraemia were independently associated with these outcomes. The model can be useful for identifying patients at high risk of these complications where laboratory assessments are not routinely available

The health policy response to COVID-19 in Malawi

Malawi declared a state of national disaster due to the COVID-19 pandemic on 20th March 2020 and registered its first confirmed coronavirus case on the 2 April 2020. The aim of this paper was to document policy decisions made in response to the COVID-19 pandemic from January to August 2020. We reviewed policy documents from the Public Health Institute of Malawi, the Malawi Gazette, the Malawi Ministry of Health and Population and the University of Oxford Coronavirus Government Response Tracker. We found that the Malawi response to the COVID-19 pandemic was multisectoral and implemented through 15 focused working groups termed clusters. Each cluster was charged with providing policy direction in their own area of focus. All clusters then fed into one central committee for major decisions and reporting to head of state. Key policies identified during the review include international travel ban, school closures at all levels, cancellation of public events, decongesting workplaces and public transport, and mandatory face coverings and a testing policy covering symptomatic people. Supportive interventions included risk communication and community engagement in multiple languages and over a variety of mediums, efforts to improve access to water, sanitation, nutrition and unconditional social- cash transfers for poor urban and rural households

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century