Biannual versus annual mass azithromycin distribution and malaria seroepidemiology among preschool children in Niger: A sub-study of a cluster randomized trial

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Study Justification:
– The study aimed to investigate the effect of biannual versus annual azithromycin distribution on malaria seroepidemiology among preschool children in Niger.
– This was important because azithromycin has been shown to reduce all-cause mortality in preschool children, but the mechanism for this effect is not well understood.
– Malaria is a leading cause of child mortality in the Sahel, and azithromycin has activity against malaria parasites.
Study Highlights:
– The study was conducted as a sub-study of a cluster randomized trial evaluating different azithromycin distribution strategies for trachoma control.
– Two arms of the trial were compared: biannual azithromycin distribution to children under 12 years of age versus annual azithromycin distribution to the entire community.
– Markers of malaria exposure were measured, and malaria seroprevalence was assessed using a bead-based multiplex assay.
– The results showed that targeted biannual azithromycin distribution was associated with lower malaria seroprevalence compared to annual distribution.
Recommendations for Lay Reader:
– The study found that giving azithromycin to preschool children twice a year may help reduce the risk of malaria.
– This is important because malaria is a common and serious illness that can cause death in young children.
– The findings suggest that biannual azithromycin distribution could be an effective strategy for preventing malaria in areas with high malaria transmission.
Recommendations for Policy Maker:
– The study provides evidence that biannual azithromycin distribution to preschool children can reduce malaria seroprevalence.
– This suggests that implementing biannual azithromycin distribution programs could be a cost-effective strategy for malaria control in high-transmission areas.
– Policy makers should consider incorporating biannual azithromycin distribution into existing malaria control programs to help reduce the burden of malaria in affected communities.
Key Role Players:
– Researchers and scientists involved in malaria control and treatment
– Public health officials and policymakers
– Community leaders and local health workers
– Non-governmental organizations (NGOs) and international agencies involved in malaria control efforts
Cost Items for Planning Recommendations:
– Training and capacity building for health workers
– Procurement and distribution of azithromycin
– Monitoring and evaluation of the program
– Community engagement and awareness campaigns
– Data collection and analysis
– Infrastructure and logistics support for program implementation

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is a randomized controlled trial, which is a robust method for evaluating interventions. The sample size is adequate, with data available for 991 children. The study compares biannual and annual azithromycin distribution for trachoma control and evaluates the serological response to malaria incidence. The results show that biannual distribution was associated with lower malaria seroprevalence compared to annual distribution. However, the evidence could be strengthened by providing more details on the methodology, such as the randomization process, data collection procedures, and statistical analysis methods. Additionally, the abstract could include information on potential limitations of the study and suggestions for further research.

Background: Biannual mass azithromycin administration to preschool children reduces all-cause mortality, but the mechanism for the effect is not understood. Azithromycin has activity against malaria parasites, and malaria is a leading cause of child mortality in the Sahel. The effect of biannual versus annual azithromycin distribution for trachoma control on serological response to merozoite surface protein 1 (MSP-119), a surrogate for malaria incidence, was evaluated among children in Niger. Methods: Markers of malaria exposure were measured in two arms of a factorial randomized controlled trial designed to evaluate targeted biannual azithromycin distribution to children under 12 years of age compared to annual azithromycin to the entire community for trachoma control (N = 12 communities per arm). Communities were treated for 36 months (6 versus 3 distributions). Dried blood spots were collected at 36 months among children ages 1-5 years, and MSP-119 antibody levels were assessed using a bead-based multiplex assay to measure malaria seroprevalence. Results: Antibody results were available for 991 children. MSP-119 seropositivity was 62.7% in the biannual distribution arm compared to 68.7% in the annual arm (prevalence ratio 0.91, 95% CI 0.83 to 1.00). Mean semi-quantitative antibody levels were lower in the biannual distribution arm compared to the annual arm (mean difference – 0.39, 95% CI – 0.05 to – 0.72). Conclusions: Targeted biannual azithromycin distribution was associated with lower malaria seroprevalence compared to that in a population that received annual distribution. Trial Registration Clinicaltrials.gov NCT00792922.

Ethical approval was obtained from the Committee on Human Research at the University of California, San Francisco and the Comité d’Ethique du Niger. Verbal informed consent was obtained from local chiefs of each study community and from the parent or guardian of each study participant. CDC staff did not have contact with study personnel or access to personal identifying information and were determined to not be engaged in human subjects research. PRET was a series of community-randomized trials in Niger, The Gambia, and Tanzania designed to assess mass azithromycin distribution strategies for trachoma control (clinicaltrials.gov {“type”:”clinical-trial”,”attrs”:{“text”:”NCT00792922″,”term_id”:”NCT00792922″}}NCT00792922). In the present report, data from the Niger trial only were included [26–28]. The Niger trial was a 2 × 2 factorial trial of standard versus enhanced coverage and annual versus biannual distribution of azithromycin for trachoma control. In Niger, communities were randomized to one of four arms in a 1:1:1:1 fashion: (1) annual treatment of all individuals in the community with a treatment coverage target of 80%; (2) annual treatment of all individuals in the community with an enhanced treatment coverage target of 90%; (3) biannual treatment of children aged 12 and under with a treatment coverage target of 80%; or (4) biannual treatment of children aged 12 and under with an enhanced treatment coverage target of 90%. Communities were randomized by stratified block randomization within each Centre de Santé Intégrée (CSI) by high or low trachoma prevalence, as previously described [26]. The present report is restricted only to the enhanced coverage arms, as dried blood spots for antibody tested were only collected in these arms. The remainder of this report is, therefore, focused only on the enhanced distribution study arms. Communities were eligible for inclusion in the study if they had a population between 250 and 600 at the most recent government census (done in 2001 with population sizes in 2010 estimated based on projected population growth) and clinical trachoma prevalence of at least 10% at the time of the census. Study communities were located in Matamèye District, Zinder Region and were treated from May 2010 until May 2013. This region is situated in the Sahel and has highly seasonal malaria incidence, with peak transmission shortly after the peak in rainfall, typically in September [29, 30]. At the time of the study, there was no seasonal malaria chemoprevention programme in this region, although a bed net distribution programme was active. Annual distributions occurred in June/July, at the beginning of the high transmission season. In the biannual distribution arm, communities were additionally treated in December/January, during the low transmission season. Data for the present analysis was collected in September 2013. Prior to each MDA, a door-to-door enumerative census was undertaken in all study communities, which formed the sampling frame for treatment and evaluation. In all communities included in this report, each MDA occurred over a 1-to-4-day period: up to three follow-up visits occurred after the initial MDA day in an attempt to achieve coverage of 90% or greater. In the annual MDA arm, communities received a total of three rounds of MDA distributed via a door-to-door program to all individuals, regardless of age. In the biannual MDA communities, children aged 6 months to 12 years received a total of six rounds of door-to-door MDA; no one over the age of 12 was treated in these communities. During each MDA, all eligible participants were offered a single dose of directly observed oral azithromycin (20 mg/kg up to a maximum dose of 1 g in adults). Children under 6 months of age or those with macrolide allergy were offered topical tetracycline ointment (1%) for 6 weeks. In the annual treatment arm, pregnant women were offered tetracycline ointment. In each study community, a random sample of 50 children aged 0 to 5 years were selected to have samples collected. Dried blood spots were only collected in children age 1 to 5 years of age due to the presence of maternal antibodies. Blood samples were collected via finger or heel stick in September 2013. Dried blood spots based on the most recent census [31] were analysed for antibody response to a portion of the P. falciparum antigen MSP-119 using a multiplex bead array assay on a Luminex 200 platform. Results were reported as the median fluorescence intensity (MFI) minus background (MFI-BG), where background is the signal from beads with buffer only. The seropositivity cutoff was MFI-BG ≥ 1758 as determined by receiver operator characteristic curve analysis using a positive panel of serum from individuals with malaria slides positive for P. falciparum and a negative panel of serum from US-residents who had never travelled to a malaria-endemic region. Blood samples from the children who contributed dried blood spots were also tested for P. falciparum infection using microscopy. Thick blood smears were stained with 3% Giemsa, and each slide was read by two experienced microscopists at the Zinder Regional Hospital. Discrepancies were adjudicated by a third reader. Microscopists determined the presence or absence of P. falciparum parasites and counted the number of asexual parasites per 200 white blood cells (assuming a white blood cell count of 8000/μl). Each child’s tympanic temperature was assessed at the time of blood collection. Clinically symptomatic malaria was defined as a blood slide positive for P. falciparum accompanied by tympanic temperature ≥ 38.5 °C. The geometric mean of the two parasite densities was used for analysis. Haemoglobin concentration was measured for all children (HemoCue AB, Ängelholm, Sweden). The trial was powered for the primary trachoma outcome [26]. An a priori sample size calculation was not performed for this non-prespecified secondary outcome. All analyses were conducted as intention-to-treat. Descriptive statistics were calculated by study arm with medians and interquartile ranges (IQR) or proportions. A log10 transformations of MFI-BG (as a semi-quantitative indicator of antibody levels) and parasite density was used for analysis. Parasite prevalence, clinically symptomatic malaria prevalence, and seroprevalence of MSP-119-specific antibodies and corresponding binomial 95% confidence intervals (CI) were calculated at the community level. Prevalence ratios (PR) for the association between malaria infection and MSP-119 seropositivity were calculated using generalized linear mixed models with a binomial distribution and log link with a random effect for the study community to account for clustering within communities, and adjusted for age and gender [32, 33]. To assess the difference in seropositivity to MSP-1 by study arm, generalized linear mixed model with a binomial distribution and log link were used to estimate risk ratios, with a random effect for study community. To assess differences in quantitative antibody levels, a log10 transformation of the MSP-1 MFI-BG values was used. Generalized linear mixed models with a Gaussian distribution and identity link were used to estimate the mean difference in antibody level between study arms, with a random effect for study community. Differences in the age-seroprevalence and semi-quantitative antibody curves were evaluated to assess differences in short- and long-term malaria exposure in a generalized linear model with binomial (seropositivity) or Gaussian (MFI-BG) distribution, with a study arm by age category interaction term, with age treated as a continuous variable. All analyses were conducted in R (version 3.4.3, The R Foundation for Statistical Computing, Vienna, Austria).

The study mentioned in the description focuses on evaluating the effect of biannual versus annual azithromycin distribution for trachoma control on malaria seroepidemiology among preschool children in Niger. The study found that targeted biannual azithromycin distribution was associated with lower malaria seroprevalence compared to annual distribution. The study also collected data on malaria infection using microscopy and assessed antibody levels using a multiplex bead array assay.

Based on this study, here are some potential innovations that could improve access to maternal health:

1. Integration of maternal health services: One possible innovation could be to integrate maternal health services with existing programs that distribute azithromycin for trachoma control. This would allow pregnant women to receive prenatal care and other maternal health services during the distribution campaigns, improving access to essential care.

2. Mobile health (mHealth) interventions: Another innovation could be the use of mobile health technologies to provide information and reminders to pregnant women about the importance of antenatal care and other maternal health services. This could include sending text messages with appointment reminders, educational materials, and information on available services.

3. Community health worker involvement: Engaging community health workers in the distribution campaigns could help improve access to maternal health services. Community health workers could provide education and counseling to pregnant women, conduct screenings for high-risk pregnancies, and refer women to appropriate care facilities.

4. Strengthening health systems: Investing in the overall strengthening of health systems in the areas where the distribution campaigns take place could have a positive impact on maternal health. This could include improving infrastructure, training healthcare providers, and ensuring the availability of essential medicines and supplies for maternal health services.

5. Collaboration with other stakeholders: Collaborating with other stakeholders, such as non-governmental organizations and international agencies, could help improve access to maternal health services. These partnerships could provide additional resources, expertise, and support to ensure that pregnant women receive the care they need.

It is important to note that these recommendations are based on the information provided and may need to be further explored and adapted to the specific context and needs of the population.
AI Innovations Description
The study mentioned in the description is focused on evaluating the effect of biannual versus annual azithromycin distribution for trachoma control on malaria seroepidemiology among preschool children in Niger. The study found that targeted biannual azithromycin distribution was associated with lower malaria seroprevalence compared to annual distribution.

Based on this study, a recommendation to improve access to maternal health could be to implement targeted biannual azithromycin distribution to pregnant women in areas with high malaria incidence. This could be done in addition to existing interventions such as bed net distribution and antenatal care.

By providing pregnant women with azithromycin twice a year, it may help reduce the incidence of malaria during pregnancy, which is known to have adverse effects on both the mother and the unborn child. This intervention could be integrated into existing maternal health programs and could be particularly beneficial in regions with highly seasonal malaria transmission.

It is important to note that further research and evaluation would be needed to assess the feasibility, effectiveness, and potential risks of implementing this recommendation. Additionally, ethical considerations and local context should be taken into account when designing and implementing such interventions.
AI Innovations Methodology
Based on the provided description, here are two potential recommendations for improving access to maternal health:

1. Mobile Clinics: Implementing mobile clinics that travel to remote areas can greatly improve access to maternal health services. These clinics can provide prenatal care, postnatal care, and essential maternal health services to women who may not have easy access to healthcare facilities. By bringing healthcare services directly to the communities, pregnant women can receive the necessary care and support they need during pregnancy and childbirth.

2. Telemedicine: Utilizing telemedicine technology can help bridge the gap in access to maternal health services. Through telemedicine, pregnant women can consult with healthcare professionals remotely, reducing the need for physical travel to healthcare facilities. This can be particularly beneficial for women in rural or underserved areas who may have limited access to healthcare facilities. Telemedicine can provide prenatal consultations, remote monitoring of pregnancies, and access to medical advice and guidance.

Methodology to simulate the impact of these recommendations on improving access to maternal health:

1. Define the target population: Determine the specific population that will benefit from the recommended innovations. This could include pregnant women in remote areas or underserved communities.

2. Collect baseline data: Gather data on the current access to maternal health services in the target population. This can include information on the number of healthcare facilities, distance to the nearest facility, and utilization rates of maternal health services.

3. Simulate the implementation of mobile clinics: Use modeling techniques to simulate the impact of implementing mobile clinics in the target population. Consider factors such as the number of mobile clinics needed, their locations, and the frequency of visits. Estimate the potential increase in access to maternal health services based on the availability of mobile clinics.

4. Simulate the implementation of telemedicine: Use modeling techniques to simulate the impact of implementing telemedicine in the target population. Consider factors such as the availability of telemedicine infrastructure, the number of healthcare professionals providing remote consultations, and the accessibility of telemedicine services. Estimate the potential increase in access to maternal health services based on the availability of telemedicine.

5. Analyze the results: Evaluate the simulated impact of the recommendations on improving access to maternal health services. Compare the baseline data with the simulated outcomes to assess the potential benefits of implementing mobile clinics and telemedicine. Consider factors such as increased utilization of maternal health services, reduced travel time and costs, and improved health outcomes for pregnant women.

6. Refine and adjust the simulations: Based on the analysis of the simulated impact, refine the simulations by adjusting variables and parameters as needed. This iterative process can help optimize the recommendations and identify potential challenges or limitations.

7. Implement and monitor: Once the simulations indicate positive outcomes, implement the recommended innovations in real-world settings. Continuously monitor and evaluate the impact of the interventions to ensure they are effectively improving access to maternal health services.

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