Protocol for the trial to establish a causal linkage between mycotoxin exposure and child stunting: A cluster randomized trial

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Study Justification:
– The study aims to establish a causal linkage between mycotoxin exposure and child stunting.
– Stunting contributes to child mortality and is a risk factor for poor cognitive and motor development.
– Despite efforts to improve infant diets, stunting continues to increase in Africa.
– Understanding the etiology of childhood stunting can lead to more effective interventions and policies.
Study Highlights:
– The study is a community-based cluster randomized trial conducted in central Tanzania.
– All 52 health facilities in the Kongwa District were randomized into control and intervention groups.
– The intervention group receives a low-aflatoxin pre-blended porridge flour and low-aflatoxin groundnut flour.
– Both groups receive infant and young child feeding education and a thermos flask.
– A total of 3120 infants between 6 weeks and 3 months of age will be recruited over 1 year.
– Data will be collected at multiple time points, including anthropometric measurements and biomarker analysis.
Study Recommendations:
– The study recommends providing a low-aflatoxin diet to infants to improve linear growth and reduce stunting.
– It suggests incorporating complementary feeding interventions with low-aflatoxin porridge and groundnut flour.
– The study emphasizes the importance of educating mothers on breastfeeding, dietary diversity, and feeding frequency.
– It highlights the need for hygienic storage of cooked porridge and the promotion of groundnut flour in infant foods.
Key Role Players:
– Community health workers (CHWs) play a crucial role in delivering infant feeding education and promoting behavior change.
– Health facility staff, including nurses and management, are involved in recruitment, data collection, and sample processing.
– The research team, including implementation officers and a logistician, ensures the delivery of trial products and monitors intervention fidelity.
Cost Items for Planning Recommendations:
– Procurement of maize and groundnut for the production of low-aflatoxin porridge and groundnut flours.
– Packaging and distribution of the research foods, including porridge flour, groundnut flour, and skin lotion.
– Provision of thermos flasks and scoops to trial mothers.
– Training and compensation for community health workers and data collectors.
– Laboratory testing and analysis of blood and urine samples.
– Data collection tools, including hand-held devices for electronic surveys.
– Monitoring and evaluation activities, including data quality checks and adherence assessment.
Please note that the above information is a summary of the study and its components. For more detailed information, please refer to the original publication in BMC Public Health, Volume 20, No. 1, Year 2020.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study design is a cluster randomized trial, which is a robust method for evaluating interventions. The trial aims to establish a causal linkage between mycotoxin exposure and child stunting, which is an important research question. The study has a large sample size of 3120 infants and collects data at multiple time points. The primary outcome is length-for-age Z scores at 18 months, and there are several secondary outcomes measured as well. The trial also includes a cohort of 600 infants for additional data collection. The study protocol is well-described, including the intervention, data collection methods, and analysis plan. However, there are a few areas for improvement. The abstract could provide more information on the statistical analysis plan and the expected duration of the trial. Additionally, it would be helpful to include information on the potential limitations of the study, such as possible confounding factors or sources of bias. Overall, the evidence in the abstract is strong, but these suggestions could further enhance the clarity and completeness of the study.

Background: The number of stunted children has fallen globally but continues to increase in Africa. Stunting is estimated to contribute to 14-17% of child deaths under 5 years of age and is a risk factor for poor cognitive and motor development and educational outcomes. Inadequate dietary intake and disease are thought to be the immediate causes of undernutrition and stunting. However, improving infant diets through complementary feeding interventions has been shown to only modestly reduce stunting. Multiple observational studies demonstrate a dose response relationship between fetal and post-natal aflatoxin exposure and reduced linear growth. Methods: This community-based cluster randomized trial will measure the effect of a reduced aflatoxin diet on length-for-age Z scores at 18 months in central Tanzania. All 52 health facilities in the Kongwa District of Dodoma Region were randomized into two groups. Starting at 6 months of age, participants in the intervention group receive a low-aflatoxin pre-blended porridge flour containing maize and groundnut (ratio 4:1 respectively) and low-aflatoxin groundnut flour, whereas in the control group the same porridge mix and groundnut flour are promoted through education but acquired by the household. Both groups will receive the same infant and young child feeding education and a thermos flask. A total of 3120 infants between 6 weeks and 3 months of age will be recruited into the study over 1 year. Data will be collected four times- A t recruitment and when the infants are 6, 12 and 18 months of age. In a cohort of 600 infants, additional data will be collected at 9 and 15 months of age. The primary outcome is length-for-age at 18 months. Secondary outcomes include the Z scores for weight-for-age, middle upper arm circumference and head circumference, and the blood biomarker aflatoxin-albumin in the full sample, with the urine biomarker aflatoxin M1 analyzed in the cohort only. Discussion: Better understanding the etiology of childhood stunting can lead to more appropriate interventions and policies to further reduce linear growth faltering and meet the Sustainable Development Goals. Trial registration: NCT03940547, (April 24, 2019).

This two-group cluster randomized trial (CRT) is designed to test the hypothesis that provision of a complementary food porridge flour and separate groundnut flour, both with very low levels of AF (AFB1  95% in Kongwa District [33]. All 52 facilities are visited in a “round” of recruitment over 5–6 weeks, with recruitment ongoing for one calendar year. The names of the infants who attended the 42 day EPI visit since the previous round’s visit are recorded from the facility’s register. In sequential order by visit date, mothers of these infants are visited in their homes, screened for eligibility and invited into the study, until the target number of women agree to participate. The informed consent procedure is performed by a trained data collector at the time of recruitment. Inclusion criteria: Exclusion criteria, assessed at recruitment and again at the 6-month visit: The trial intervention was designed following multiple years of formative research in Kongwa District. We collected food samples across the district to overlay AF contamination of foods with stunting and birthrates using GIS. In the year prior to the trial launch, we collected 387 food samples at two time points from 115 households in 24 villages across Kongwa, which revealed frequent AF contamination of both maize and groundnuts (Ngure et al., manuscript in prep). The levels of AF contamination for groundnut ranged between 0.6–3600 ppb, with 56% of samples > 20 ppb. For maize, 6% of samples were > 20 ppb with a range between 0.4–55.5 ppb. Other foods reported consumed by infants, included millet, finger millet, rice, sorghum and sunflower seeds, of which 5% had AF > 20 ppb. The AF contamination in these foods was similar in frequency and levels to previous studies linking AF to growth faltering in West Africa and Zimbabwe [27, 34, 35]. Five focus groups and recipe trials were conducted to test the acceptability of the proposed pre-blended porridge flour of 3 or 4 parts maize to 1 part groundnut, the advice of the District Nutrition Officer, and to inform IYCF educational messages. From these discussions, two short-term trials of improved practices (TIPS) were conducted as proof of concept of the main trial intervention [36]. The first TIPS tested mothers’ acceptability and responsiveness to the control condition, promotion of a pre-blended porridge flour made of maize and groundnut and the addition of groundnut to relishes or sauces consumed by the infant (manuscript in prep). Briefly, in this first trial of 17 days, 66% of infants at baseline and 71% of infants at follow-up (n = 35) consumed groundnut on the previous day. Slightly more mothers reported adding groundnut in porridges and vegetable relish at follow-up than baseline, indicating a willingness to incorporate educational messages into infant feeding practices. The second trial tested mothers’ acceptability of the intervention condition (provision of a pre-blended porridge flour). Three day consecutive urine samples were collected both at baseline and follow-up in all infants (n = 37). Provision of low-AF pre-blended porridge flours reduced the prevalence of detectable urinary AFM1 by 81% in following provision of AF-free lishe for 7–10 days, indicating high acceptability. Based on these findings, we refined our trial intervention to promote and provide pre-blended flours at a ratio of 4 parts maize to 1 part groundnut, the median ratio of practices found by mothers in the 24 h recalls collected in the mini-trials. This decision will reduce the potential for a difference in dietary intake between groups and reduce ethical concerns of increasing groundnut consumption in the control group. Secondly, the trial will use a separate low AF groundnut flour in the intervention group, in addition to pre-blended maize and groundnut flour, as groundnut was commonly used to flavor foods consumed by the infant and the household and is a potential source of AF exposure. Finally, a thermos flask will be provided to all trial mothers to hygienically store cooked porridge throughout the day. Beginning when the index infant is 6 months of age, data collectors and research staff meet with mothers at each health facility one time per month to collect data and deliver the research supplies to participants. Following data collection, mothers in the intervention group receive pre-blended porridge flour in sealed plastic containers. Fifty grams/day is provided for 6–8 month olds, 60/day grams for 9–11 months and 75 g/day for 12–18 month olds, and containers contain an additional buffer of 10–15 g per day to account for any loss or sharing in the household. These amounts were calculated to provide all of the caloric needs for 6–8 month olds and progressively less calories and macronutrients for older infants as their diets are more diverse, while taking into account local feeding practices. The intervention group will also receive 1 kg of low-AF groundnut flour each month for between 6 and 18 months. Mothers in the control group receive skin lotion every month. At the 6 month visit all mothers are given a thermos flask and a plastic scoop to measure the appropriate amount of porridge flour (Table 1). Intervention activities Infant feeding education: Breastfeeding Dietary diversity Feeding frequency Hand washing Infant feeding education: Breastfeeding Dietary diversity Feeding frequency Hand washing Behavior change communication on use on use of porridge flours: Timing of introduction, frequency of feeding, density and composition Promotion of 4:1 ratio of maize meal to groundnut powder Promotion of use of groundnut flour in infant foods Behavior change communication on use of porridge flours: Timing of introduction, frequency of feeding, density and composition Promotion of 4:1 ratio of maize meal to groundnut powder Promotion of use of groundnut flour in infant foods Provision of pre-blended porridge flours and groundnut flour monthly Provision of thermos flask and scoop at 6 month visit Provision of skin lotion monthly Provision of thermos flask and scoop at 6 month visit Between the time of recruitment (between 6 weeks and 3 months of age) and the start of the randomized intervention at 6 months of age, all trial mothers are invited to a 4 and 5 month IYCF education session led by local CHWs, with a focus on promotion of exclusive breastfeeding, hand washing, and preparing to feed at 6 months, based on Government of Tanzania education materials [37]. Between 8 and 11 months of age, all mothers are invited to two additional infant and young child feeding education sessions that focus on age-appropriate feeding frequency, diet quality and diversity, and the importance of continued breastfeeding. At the monthly pick-up of the flours or skin lotion, the CHWs lead a short education session to reinforce the main IYCF messages taught at the longer sessions with additional messages about hygienic storage of all infant food flours. The only difference in messages between groups is that intervention group mothers are advised that the provided porridge flour is for the index child only. There is no blinding in this study, as all parties will be able to see what is received by the mother – pre-blended flour and groundnut flour or lotion. Critical to the trial’s success is the production of low-AF porridge and groundnut flours. We have partnered with a Tanzanian flour miller to produce the research foods. Procurement of maize and groundnut will be performed collaboratively between the researchers and the miller. Pendo groundnut variety, the type commonly consumed in Kongwa, will be sourced mainly from Dodoma region to mimic local consumption and quality. A multiple stage sampling and testing quality control procedure of pre- and post-processed flours was designed by the research staff. Upon receipt, all groundnuts are sorted to reduce AF. Prior to processing, multiple samples will be drawn from maize and groundnut lots and tested for moisture content and AF. The final products will be accepted if AF is ≤5 ppb and FUM is ≤2 ppm [38]. All processed flours will be packaged for monthly consumption to ensure no risk of spoilage or rancidity. Accurately measuring adherence of a complementary and supplementary food distribution program is difficult [39–41]. Self-report, including calculation of a disappearance rate tends to overestimate adherence, but does not demand high resources [39]. Direct observation and analysis of a biomarker, if available, can be more reliable but also time consuming and expensive. In the absence of a “perfect” method of assessing adherence, this trial will use multiple methods: analysis of the urinary biomarker AFM1, calculation of a disappearance rate based on maternal report and maternal interviews about infant feeding practices. Urinary AFM1, a metabolite of aflatoxin, is a validated biomarker that represents recent exposure in the past 2–3 days [42]. AFM1 will be used to measure short-term adherence in a selected cohort of infants (described in “Study timeline” below) at 9, 12, 15 and 18 months. Adherence to the recommended frequency of cooking and amount of pre-blended porridge flour and groundnut flours cooked will be measured by calculating the daily disappearance rate (# of kilograms provided – # kg remaining/number of days since previous distribution) of the provided foods in the cohort at 12 months. Further probing to assess feeding practices will include reported consumption by the index child in the previous 24 h and previous week, acceptance of the products by the child, sharing by other family members and neighbors, how leftovers are handled, the time it takes to complete a package of foods and maternal acceptance of cooking and the flavor of the foods. In both groups at all time points, mothers will be asked about porridge feeding practices (not exclusive to the provided porridge flour), including the ingredients used in the porridge, consistency of cooked porridge and frequency of feeding. Implementation fidelity is “the degree to which programs are implemented as intended” [43]. Monitoring the fidelity of a trial intervention provides contextual interpretation of the trial results and is useful for both internal and external validity [44]. For example, if the trial finds no evidence of effect, was the biological hypothesis flawed, the intervention poorly targeted to the biological pathway (theory failure) or was this due to a poorly implemented intervention (program failure)? Alternatively, if the trial finds evidence of an effect on child growth can it be demonstrated that the intervention was implemented as designed and is likely to be successful in an alternate setting? A Program Impact Pathway (PIP) approach will be used to monitor the intervention delivery and maternal uptake [45, 46]. Prior to the start of the trial, we reviewed IYCF best-practices and IYCF theory-based program evaluations to design a schematic PIP highlighting critical actions and behaviors that could drive or moderate intervention success [45, 47, 48]. We then used this PIP to identify key indicators to be tracked throughout the trail. These include: 1) timely delivery, quantity and quality of the project foods, skin lotion, thermos flask and scoops, 2) timely delivery of and maternal attendance of CHW-led education sessions, and 3) maternal uptake of promoted IYCF behaviors. There are three to four full time staff, including “Implementation Officers” and a logistician, who are responsible for delivery of the trial products. Receipt of trial products will be recorded electronically. CHWs keep paper records of IYCF sessions held and attendance at these sessions, which will be reviewed and submitted to the Implementation Officers on a monthly basis. Uptake of behaviors is from self-report by the mother at all survey time points. Mothers will meet with data collectors four times throughout the study (Table 2). The first survey will be conducted at recruitment, when the index infant is between 1.5–3 months of age. The second survey will take place when the infant is 6 months of age, the third at 12 months and the fourth and final survey at 18 months of age. We will also include a cohort of 600 infants (300 per group) who will be visited at 9 and 15 months, in addition to the standard visits. Summary of data collection – location, method, timing and topic HC Health Card, I Interview, M Measurement, O Observation, T Test, aCohort only, bCohort sub-set The surveys will assess demographic and economics of the household, infant feeding practices, access to health-care, household food security, maternal dietary diversity, community health worker contact, and water, sanitation and hygiene of the household. At the 6, 12, and 18-month survey points anthropometric assessment of weight, height, MUAC and head circumference will be conducted in all infants. Blood collection will occur at three time points (6, 12 and 18 months) in all infants, and urine collection only from the cohort of 600 infants at five time points (6, 9, 12, 15 and 18 months). In a sub-set of 250 household in the cohort, maize and groundnut samples will be collected, as well as an assessment of adherence to the intervention and 24-h recalls. Twenty-four data collectors will be hired at the peak of the trial. All data collectors will be trained in research ethics and Good Clinical Practices (GCP). Anthropometrists will be trained to measure recumbent length, weight, MUAC and head circumference. Length will be measured with a ShorrBoard© and weight using an ADE M321600 Electronic Floor Scale with mother/baby tare feature, recorded to the tenth decimal. Survey data will be collected electronically, using hand-held devices (Samsung Galaxy 7, KoBoToolbox Platform), with paper copies provided as back up in case of electronic failure. Data quality checks are built into the electronic version of the survey, for example limiting ranges of responses/measurements to those that are within a credible range and consistency checks between questions. The Data Quality Supervisor will check all surveys and uploads encrypted data on a daily basis to KoboToolbox. The Research Coordinator in Arusha will monitor enrollment numbers, rejection/non-qualifier numbers, drop-out rates, completed visit rates, anthropometry and biological sample collection success rates each week. The full data set will be encrypted, password-protected and stored on Cornell IRB-approved locations. Collection of blood and urine will be performed by certified Tanzanian nurses in health facilities following the Standard Operating Procedures. These nurses will be identified and hired in collaboration with the Kongwa District Medical Officer. Urine samples will be collected with a urine bag, transferred to a sterile container for transport and placed into a cooler box with ice packs. Blood samples will be collected using a vacutainer system with EDTA tubes, placed in a Styrofoam rack then put into a cooler box with ice packs. All samples will contain a barcode for tracking. Samples will be transported to the research lab at the Kongwa District Hospital within 4 hours of collection. The laboratory scientist in Kongwa will record and catalog samples using a hand-held device (Samsung Galaxy 7, KoBoToolbox Platform), then process blood and urine samples upon arrival from the field. Plasma will be isolated and both plasma and urine aliquots will be stored at -40F. Biohazard material and sharps will be discarded through partnership with the Kongwa District Hospital. To capture the potential range of exposure across the district, all facilities were included in the sampling frame, and their unique catchment area is considered a cluster. The randomization procedure was developed to ensure close balance between the two groups on altitude and number of EPI visits. Altitude is associated with mycotoxin risk, with 1000–1200 m considered the threshold for drier and colder conditions in which toxin-producing fungi are less likely to thrive. Number of EPI visits was used as a proxy for health facility size, population density and access to resources such as roads and markets. The following steps were taken to randomized health facilities: The sample size calculation was estimated to detect a difference of 0.2 LAZ score between the intervention and control groups using the STATA (version 15.1) command for two independent sample means in a CRT. This difference in LAZ is believed to be clinically significant and would therefore motivate public health decision-making. Using a one-sided test of independent sample means, with a standard deviation of 1.2 Z, type I error of 0.05, and power of 0.90, design effect of 2.0 (justified below) and randomizing all 52 health facilities (26 per group), the total sample size was calculated to be 2322 (1161 infants per cluster). This also assumes a coefficient of variation of .14 for varying cluster size, based on previous year’s data for EPI attendance at 42 days. A conservative estimate of 20% loss to follow-up and infant mortality indicates a total of 2787 infants, or 54 infants recruited per health cluster annually or 4.5 infants per cluster per month is needed. Therefore, if five infants per cluster per month are recruited, that will results in a total of 3120 infants in the study, recognizing that in approximately six of the health facilities, it may be difficult to recruit sufficient numbers based on the size of the population served by the facility. To estimate the design effect, we identified other cluster-randomized trials with educational and/or food provision interventions delivered through CHWs with LAZ as an outcome [49–51]. Based on these studies, we used an intraclass correlation coefficient of 0.02 to reach our design effect of 2.0. This is in line with the estimated design effects for stunting using population-based surveys in three African countries calculated by Katz [52]. Twenty-four health facilities (12 heath facility pairs) were purposively selected to be the cohort sampling frame, based on geographic accessibility of the facilities themselves and their catchment households. At the 6 month visit, when the randomized intervention begins, 2–3 mothers at these facilities are randomly selected into the cohort on a monthly basis by pulling different colored marbles from a bag. If a mother accepts participation in the cohort, there is an additional informed consent procedure. All outcomes will be presented using descriptive statistics; normally distributed data by the mean and standard deviation (SD) and skewed distributions by the median and interquartile range (IQR). AF biomarkers and food contamination, usually skewed, will additionally be presented as geometric means and 95% CIs, medians and IQRs. Binary and categorical variables will be presented using counts and percentages. These outcomes will additionally be presented by study group and season. The primary analysis will compare LAZ at 18 months between the control and intervention groups and will be analyzed using a mixed-model, such as Stata GEE regression procedure, to account for with-in cluster variance. The primary analyses will be intention-to-treat. Secondary analyses will include: Trial results will be reported in accordance with the extended CONSORT guidance for cluster randomized trials. In the main analyses we will include all relevant continuous covariates with less than 10% missing. For categorical variables, we will create a dummy variable for missing. For variables that have substantial missing we will conduct sensitivity analyses with multiple imputation to compare to the main analyses. This trial has been approved by the Cornell IRB and the Tanzanian National Institute for Medical Research (NIMR). Any protocol amendments have been approved prior to implementation and updated in ClinicalTrials.gov. Written informed consent is asked and obtained by all participants in Kiswahili prior to the start of data collection. Our informed consent forms have been written for a population with limited research experience and research knowledge and contains multiple questions to check for comprehension of the study and the participant’s rights. These forms are written specifically for each group, since randomization is at the cluster (health facility) level, prior to the start of recruitment. Further consent is requested to store biological samples for future use. All staff, including community health workers who have the most contact with mothers, were trained on the trial’s Unexpected Events Reporting plan to ensure appropriate and timely reporting to the Cornell IRB and NIMR. Survey data will be reviewed for attrition, child morbidity, any reports of protocol deviations on a monthly basis. Participant complaints and expected or unexpected events are received on a case-by-case basis and are reported to the IRB according to our reporting plan. An independent Data Safety and Monitoring Board (DSMB) was established, consisting of a biostatistician, a pediatrician and a nutritionist. The DSMB will convene three times – once around the time of the study’s launch (completed August, 2019), near the end of recruitment (completed February, 2020) and at the end of the trial. The DSMB will monitor trial data at 6-monthly intervals, beginning in August 2020. The following data are included in the monitoring report, active complaints from mothers about an index infant’s health, care-seeking from clinic, doctor or hospital for baby illness, stunting prevalence (LAZ < − 2), wasting prevalence (WHZ < − 2) and possible severe acute malnutrition (SAM). Infant deaths will also be reported to the DSMB as soon as possible. The DSMB decided not set any stopping rules. The Bill and Melinda Gates Foundation, the funder of this trial, requires an open access data policy. Therefore, all manuscripts from this funded work will be open access with the data underlying the published research results. More on this policy can be found: https://www.gatesfoundation.org/how-we-work/general-information/open-access-policy Additionally, we will present our results with the Kongwa District Council, as well as a final report to NIMR and the Tanzanian Commission for Science and Technology (COSTECH). We are not authorized to share any results with the participants or communities directly but can request the local government to share only summary results (not results by health facility) to assure confidentiality is upheld.

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The innovation described in the title and description is a cluster randomized trial to establish a causal linkage between mycotoxin exposure and child stunting. The trial aims to measure the effect of a reduced aflatoxin diet on length-for-age Z scores at 18 months in central Tanzania. The trial involves providing a low-aflatoxin pre-blended porridge flour and low-aflatoxin groundnut flour to the intervention group, while the control group receives the same porridge mix and groundnut flour through education but acquires it themselves. Both groups receive infant and young child feeding education and a thermos flask. The trial will recruit 3120 infants between 6 weeks and 3 months of age over 1 year and collect data at various time points. The primary outcome is length-for-age at 18 months, and secondary outcomes include weight-for-age, middle upper arm circumference, head circumference, and biomarkers for aflatoxin exposure. The trial aims to better understand the causes of childhood stunting and inform interventions and policies to reduce linear growth faltering.
AI Innovations Description
The recommendation to improve access to maternal health based on the provided information is to conduct a cluster randomized trial to establish a causal linkage between mycotoxin exposure and child stunting. This trial aims to measure the effect of a reduced aflatoxin diet on length-for-age Z scores at 18 months in central Tanzania. The trial will be conducted in the Kongwa District of Dodoma Region, where stunting rates are slightly above the national average. All 52 health facilities in the district will be randomized into two groups: the intervention group and the control group.

In the intervention group, participants will receive a low-aflatoxin pre-blended porridge flour containing maize and groundnut, as well as low-aflatoxin groundnut flour. The control group will receive the same porridge mix and groundnut flour, but they will acquire it themselves. Both groups will receive the same infant and young child feeding education and a thermos flask. A total of 3120 infants between 6 weeks and 3 months of age will be recruited into the study over 1 year. Data will be collected at recruitment and when the infants are 6, 12, and 18 months of age. Additional data will be collected at 9 and 15 months of age in a cohort of 600 infants. The primary outcome is length-for-age at 18 months, and secondary outcomes include weight-for-age, middle upper arm circumference, head circumference, and biomarkers for aflatoxin exposure.

By conducting this trial, better understanding of the etiology of childhood stunting can be achieved, leading to more appropriate interventions and policies to reduce linear growth faltering and improve maternal health. The trial results will be reported in accordance with the extended CONSORT guidance for cluster randomized trials and will be made available through open access publications. The findings will also be shared with the Kongwa District Council, the National Institute for Medical Research, and the Tanzanian Commission for Science and Technology.
AI Innovations Methodology
The protocol described is a cluster randomized trial designed to establish a causal linkage between mycotoxin exposure and child stunting. The trial aims to measure the effect of a reduced aflatoxin (AF) diet on length-for-age Z scores at 18 months in central Tanzania. The trial is being conducted in the Kongwa District of Dodoma Region, where stunting rates are above the national average.

The trial involves 52 health facilities in the district, which were randomized into two groups: the control group and the intervention group. Participants in the intervention group receive a low-aflatoxin pre-blended porridge flour containing maize and groundnut, as well as low-aflatoxin groundnut flour. The control group receives the same porridge mix and groundnut flour but acquires them through education without direct provision. Both groups receive the same infant and young child feeding education and a thermos flask.

A total of 3120 infants between 6 weeks and 3 months of age will be recruited into the study over 1 year. Data will be collected at recruitment and when the infants are 6, 12, and 18 months of age. Additional data will be collected at 9 and 15 months of age in a cohort of 600 infants. The primary outcome is length-for-age at 18 months, and secondary outcomes include weight-for-age, middle upper arm circumference, head circumference, and biomarkers for aflatoxin exposure.

To simulate the impact of the recommendations on improving access to maternal health, a methodology could be developed using a combination of qualitative and quantitative approaches. Here is a brief outline of a possible methodology:

1. Conduct a literature review: Gather existing research and evidence on innovations and interventions that have been successful in improving access to maternal health. This could include studies on technology-based solutions, community health worker programs, telemedicine, and other innovative approaches.

2. Identify potential recommendations: Based on the literature review, identify specific recommendations that have shown promise in improving access to maternal health. These recommendations could include strategies for increasing awareness and education, improving healthcare infrastructure, enhancing transportation and logistics, and leveraging technology.

3. Develop a simulation model: Create a simulation model that incorporates key variables and parameters related to maternal health access. This could include factors such as population demographics, healthcare facilities, transportation networks, availability of healthcare providers, and socio-economic factors. The model should be able to simulate the impact of different recommendations on these variables.

4. Define scenarios: Define different scenarios that represent the implementation of the identified recommendations. Each scenario should specify the extent and nature of the recommendation, such as the number of healthcare facilities upgraded, the level of technology implemented, or the coverage of community health worker programs.

5. Run simulations: Run the simulation model using the defined scenarios to simulate the impact of the recommendations on improving access to maternal health. The model should generate quantitative outputs that measure the changes in key variables and parameters, such as the number of women accessing prenatal care, the distance to the nearest healthcare facility, or the availability of skilled birth attendants.

6. Analyze results: Analyze the simulation results to assess the effectiveness of each recommendation in improving access to maternal health. Compare the outcomes of different scenarios to identify the most impactful recommendations.

7. Refine and iterate: Based on the analysis of the simulation results, refine the recommendations and the simulation model if necessary. Iterate the process by running additional simulations with refined scenarios to further evaluate the impact of the recommendations.

By following this methodology, it is possible to simulate the impact of different recommendations on improving access to maternal health. The results of the simulations can inform decision-making and help prioritize interventions that have the greatest potential for improving maternal health outcomes.

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