Impact of reduced dose of ready-to-use therapeutic foods in children with uncomplicated severe acute malnutrition: A randomised non-inferiority trial in Burkina Faso

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Study Justification:
The study aimed to investigate the efficacy of a reduced dose of ready-to-use therapeutic foods (RUTFs) in the community-based treatment of children with uncomplicated severe acute malnutrition (SAM). The current standard RUTF dose is prescribed based on the child’s weight to meet 100% of their nutritional needs until discharge. However, there are concerns about the cost-efficiency of this dose. This study aimed to determine if a reduced RUTF dose would be non-inferior to the standard dose in terms of weight gain velocity and other treatment outcomes.
Highlights:
– The study enrolled 801 children with uncomplicated SAM aged 6-59 months from 10 community health centers in Burkina Faso.
– The primary outcome, weight gain velocity from admission to discharge, did not differ between the reduced dose and standard dose groups, confirming non-inferiority.
– After two weeks, weight gain velocity was slightly lower in the reduced dose group compared to the standard dose group.
– The length of stay and other treatment outcomes, such as recovery, referral, defaulter, non-response, and relapse rates, did not differ significantly between the two groups.
– However, the reduced RUTF dose had a small negative effect on linear growth, especially among children under 12 months of age.
Recommendations:
Based on the study findings, the researchers recommend further evaluation of the potential effect of reducing the RUTF dose in routine programs before scaling up. This evaluation should consider the impact on treatment outcomes, including weight gain, linear growth, and other relevant factors.
Key Role Players:
To address the recommendations, the following key role players may be needed:
– Researchers and scientists to conduct further evaluations and studies.
– Health policymakers and program managers to consider the implications of reducing the RUTF dose in routine programs.
– Health professionals and community health workers to implement any changes in the treatment protocols.
– Funding agencies and donors to support research and program implementation.
Cost Items for Planning Recommendations:
While the actual cost items are not provided in the information, some potential cost items to consider in planning the recommendations may include:
– Research and evaluation costs, including study design, data collection, analysis, and reporting.
– Training and capacity building for health professionals and community health workers.
– Program implementation costs, such as procurement and distribution of RUTFs, monitoring and evaluation, and supportive supervision.
– Communication and awareness campaigns to inform caregivers and communities about any changes in the treatment protocols.
Please note that the provided information is based on the given description and publication. For more specific details, it is recommended to refer to the original publication in PLoS Medicine, Volume 16, No. 8, Year 2019.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it presents the results of a randomized non-inferiority trial with a large sample size (801 children) and provides statistical analysis. However, the abstract does not provide information on the limitations of the study or potential biases. To improve the evidence, the abstract could include a discussion of the limitations, such as the lack of blinding and the exclusion of children with negative appetite tests. Additionally, it could mention the potential implications of the findings and suggest further research to evaluate the impact of reducing the RUTF dose in routine programs.

Background: Children with uncomplicated severe acute malnutrition (SAM) are treated at home with ready-to-use therapeutic foods (RUTFs). The current RUTF dose is prescribed according to the weight of the child to fulfil 100% of their nutritional needs until discharge. However, there is doubt concerning the dose, as it seems to be shared, resulting in suboptimal cost-efficiency of SAM treatment. We investigated the efficacy of a reduced RUTF dose in community- based treatment of uncomplicated SAM. Methods and findings: We undertook a randomised trial testing the non-inferiority of weight gain velocity of children with SAM receiving (a) a standard RUTF dose for two weeks, followed by a reduced dose thereafter (reduced), compared with (b) a standard RUTF dose throughout the treatment (standard). A mean difference of 0.0 g/kg/day was expected, with a non-inferiority margin fixed at -0.5 g/kg/day. Linear and logistic mixed regression analyses were performed, with study site and team as random effects. Between October 2016 and July 2018, 801 children with uncomplicated SAM aged 6-59 months were enrolled from 10 community health centres in Burkina Faso. At admission, the mean age (± standard deviation [SD]) was 13.4 months (±8.7), 49% were male, and the mean weight was 6.2 kg (±1.3). The mean weight gain velocity from admission to discharge was 3.4 g/kg/day and did not differ between study arms (Δ 0.0 g/kg/day; 95% CI -0.4 to 0.4; p = 0.92) confirming non-inferiority (p = 0.013). However, after two weeks, the weight gain velocity was significantly lower in the reduced dose with a mean of 2.3 g/kg/day compared with 2.7 g/kg/day in the standard dose (Δ -0.4 g/kg/day; 95% CI -0.8 to -0.02; p = 0.041). The length of stay (LoS) was not different (p = 0.73) between groups with a median of 56 days (interquartile range [IQR] 35-91) in both arms. No differences were found between reduced and standard arm in recovery (52.7% and 55.4%; p = 0.45), referral (19.2% and 20.1%; p = 0.80), defaulter (12.2% and 8.5%; p = 0.088), non-response (12.7% and 12.5%; p = 0.95), and relapse (2.4% and 1.8%; p = 0.69) rates, respectively. However, the reduced RUTF dose had a small 0.2 mm/week (95% CI 0.04 to 0.4; p = 0.015) negative effect on height gain velocity with a mean height gain of 2.6 mm/week with reduced and 2.8 mm/week with standard RUTF dose. The impact was more pronounced in children under 12 months of age (interaction, p = 0.019) who gained 2.8 mm/ week with reduced and 3.1 mm/week with standard dose (Δ -0.4 mm/week; 95% CI -0.6 to -0.2; p < 0.001). Limitations include not blinding participants to the RUTF dose received and excluding all children with negative appetite test. The results are generalisable for relatively food secure contexts with a young SAM population. Conclusions: Reducing the RUTF dose provided to children with SAM after two weeks of treatment did not reduce overall weight or mid-upper arm circumference (MUAC) gain velocity nor affect recovery or lengthen treatment time. However, it led to a small but significant negative effect on linear growth, especially among the youngest. The potential effect of reducing the RUTF dose in a routine program on treatment outcomes should be evaluated before scaling up.

The study was performed in accordance with the principles in the Declaration of Helsinki. The research protocol obtained ethical clearance from the national ethics committee (Comité d'éthique pour la recherche en santé [CERS]) and the clinical trials board (Direction Générale de la Pharmacie, du Médicament et des Laboratoires [DGPML]) of Burkina Faso. An independent Data Safety Monitoring Board composed of one paediatrician and one statistician was responsible for monitoring serious adverse events and conducted five complete data reviews during the course of the study. Caregivers provided verbal and written consent prior to enrolment and were made aware of their right to withdraw from the study at any time. Caregivers in both arms were given an instant photo of their child at the end of the treatment period and a bucket with soap at the end of the 3-month post-discharge follow-up period to compensate for the time spent on study procedures. We conducted a randomised controlled clinical trial (called MANGO) comparing the efficacy of a reduced RUTF dose to a standard RUTF dose in the management of uncomplicated SAM in children 6–59 months of age in a non-inferiority design. The study was conducted in the Fada N’Gourma health district located in the Eastern region of Burkina Faso. Malaria is endemic, with 69.3% of children presenting a positive rapid test [29]. HIV prevalence is 1.0% among 15–49-year-olds. In 2016, the prevalence of severe wasting (weight-for-height z-score [WHZ] 7 new SAM admissions/month), accessibility, and a suitable schedule to couple study visit days with routine growth monitoring days. Between October 2016 and July 2018, study participants were selected from children presenting with SAM at the 10 participating health centres for curative and preventive activities. Study staff checked admission criteria: WHZ <−3 and/or mid-upper arm circumference (MUAC) <115 mm, positive appetite test (performed as per the national protocol [31]), no oedema or medical complications, and between 6 and 59 months of age. Exclusion criteria included having received treatment for SAM within 6 months, caregiver planning to travel or unable to comply with the weekly checkup schedule, peanut or milk allergy, or disability affecting food intake. Children with any grade of oedema or medical complications, as defined by the Burkina national protocol for CMAM [31], at any time during the study were referred to inpatient care. Randomisation was stratified by health centre using varying block sizes from 2 to 8. Randomisation lists were generated using the website www.randomization.com. After confirming eligibility and obtaining consent from the caregiver, children were given a unique study identifier (ID) by a team supervisor and assigned to a treatment group. Only the RUTF distributors had access to the randomisation lists, while staff involved in assessing the eligibility and study outcomes of the child were blinded to the trial arm. Participants could not be blinded to the RUTF dose received. Investigators remained blinded to treatment groups until the final analysis stage. Upon admission, the child’s caregiver was interviewed regarding household socioeconomic characteristics, care practices, and recent morbidity of the child and encouraged to adhere to weekly visits until recovery. Anthropometric measurements and a clinical examination were performed at each visit from admission to discharge. As per national SAM treatment protocol, seven key messages were delivered to caregivers in both groups, including advice to continue breastfeeding and to offer family foods in addition to RUTF if needed. Anthropometrics were measured in duplicate at each visit: weight using an electronic scale (SECA 876, SECA, Hamburg, Germany) to the nearest 100 g, height (recumbent for <24 months of age; standing for ≥24 months of age) using a wooden measuring board (locally made) to the nearest 1 mm, and MUAC using a non-stretchable colourless measuring tape to the nearest 1 mm. Using WHO field tables, WHZ was determined and used for admission and discharge. In later analysis, WHZ was calculated using the package ‘zscore06’ [32] in STATA 15 (StataCorp, College Station, TX). Children were followed up until recovery. Children missing their study visit were contacted either directly by telephone or via a community health worker and encouraged to return. Children referred did not return to trial after inpatient phase, as referral was considered a trial endpoint. Recovered children were followed up fortnightly for 12 weeks and relapses recorded. A supplementary feeding program accompanied the post-discharge follow-up, providing ready-to-use supplementary foods when available. Treatment followed the Burkina national CMAM guidelines in all aspects except the RUTF dose. Half of the children received a reduced dose from the third treatment week onwards (Table 1). Medical treatment included 7 days of amoxicillin for all children at admission (50–100 mg/kg/day), albendazole at the second treatment visit for children ≥12 months (200 mg to 12–23-month-olds; 400 mg to ≥24-month-olds) and catch-up doses for missed routine vaccinations or vitamin A supplementation (100,000 IU to 6–11-month-olds; 200,000 IU to 12–59-month-olds, every 6 months) at admission. Any illness, such as malaria, respiratory tract infections, or diarrhoea, diagnosed during the study was treated according to national protocol. See S2 Text for the full protocol for the study. Abbreviation: RUTF, ready-to-use therapeutic foods. Two study teams were comprised of one nurse, three measurers, one food distributor, and one supervisor per team. All team members were trained on research ethics and processes; standard operating procedures were defined, tested, and applied. Data were collected via tablets using the Open Data Kit (ODK1 software), and continuous data monitoring and cleaning were performed by a data manager under the supervision of the principal investigator. Electronic data were password protected, and field registries were kept in a locked office. Data were de-identified prior to analysis. The primary outcome was weight gain velocity (g/kg/day) from admission to discharge. Other outcomes included weight gain velocity after two weeks, length of stay (LoS), discharge anthropometrics, linear and MUAC growth, treatment outcome, morbidity, and relapses. Weight gain velocity from admission to discharge was calculated by dividing the weight gain (weight at discharge − weight at admission) in grams by the weight at admission in kilograms and the LoS in days. Weight gain velocity after two weeks was measured as follows: (weight at discharge − weight at visit 3 [in g]) ÷ (weight at admission [in kg]) ÷ (LoS − 14 [in days]). Missing weights at visit 3 (60 in reduced and 58 in standard arm) were imputed using mean weekly weight gained between an earlier visit (1 or 2) and later visit (4 or 5). The length of the stay was calculated as the number of days spent from admission to either recovery, referral, nonresponse, false discharge, or last visit before defaulting, lost to follow-up, or death. Linear and MUAC growth were defined as gains in millimetres (exit measure − admission measure)/week (LoS/7). A minimum acceptable mean rate of weight gain of 3.0 g/kg/day was defined at the protocol stage as a quality cutoff for evaluating general program performance. Nutritional recovery was defined as reaching a WHZ of ≥−2 for those admitted with a WHZ <−3 only, or MUAC ≥125 mm for those admitted with a MUAC <115 mm only, or both WHZ ≥−2 and MUAC ≥125 mm for those admitted with both WHZ <−3 and MUAC 5% weight loss within three weeks, or ≤100 g weight gain over four weeks in the absence of apparent illness. Nonresponse included children not reaching anthropometric discharge criteria by 16 weeks of treatment who were referred to inpatient care for further examinations. Defaulters were defined as having missed three consecutive visits, but the child was confirmed to be alive. Transfers to health centres not involved in the study were categorised as defaulters. ‘Lost to follow-up’ was defined as having missed three consecutive visits without a known status of the child. False discharges included children who were erroneously discharged as recovered or referred, but upon analysis did not meet the criteria. Relapses were recorded over 12 weeks following recovery and were defined as presenting a WHZ <−3 and/or a MUAC 50% of the daily dose at all times and excluded those who had received a wrong treatment dose or had been falsely discharged. Interactions were only investigated in ITT analyses. Interactions between treatment and age group (<12 months versus ≥12 months), sex, MUAC category (<115 versus ≥115 mm), WHZ category (<−3 versus ≥−3), and stunting (height-for-age z-score [HAZ] < −2 versus HAZ ≥ −2) at admission were evaluated for the main outcome of weight gain velocity and the key secondary outcomes of recovery, LoS and height gain velocity, by means of likelihood ratio tests. Only significant interaction terms led to subgroup analyses. ‘Urban’ was defined as those living ≤30 minutes’ return trip from the regional capital city. Low birth weight (<2,500 g) was confirmed from an official birth certificate or health card. Household Food Insecurity Access Scale (HFIAS) was constructed according to FANTA indicator guide [33].

The study mentioned in the description focuses on reducing the dose of ready-to-use therapeutic foods (RUTFs) in the treatment of uncomplicated severe acute malnutrition (SAM) in children. The goal is to investigate the efficacy of a reduced RUTF dose in community-based treatment. The study found that reducing the RUTF dose after two weeks of treatment did not reduce overall weight or mid-upper arm circumference (MUAC) gain velocity, nor did it affect recovery or lengthen treatment time. However, it did have a small negative effect on linear growth, especially among children under 12 months of age. The potential effect of reducing the RUTF dose in routine programs should be further evaluated before scaling up.

Based on this study, potential innovations to improve access to maternal health could include:

1. Optimizing RUTF dosage: Further research can explore the optimal dosage of RUTFs for the treatment of SAM in children. This could involve evaluating different dosage regimens and their impact on weight gain, linear growth, and treatment outcomes.

2. Tailoring treatment for different age groups: Given the observed negative effect on linear growth in children under 12 months of age, there could be a need for age-specific treatment protocols. Innovations could focus on developing tailored interventions for different age groups to ensure optimal growth and recovery.

3. Integrating nutrition interventions with maternal health services: To improve access to maternal health, there could be a potential for integrating nutrition interventions, such as the treatment of SAM, with existing maternal health services. This could involve providing comprehensive care that addresses both maternal and child health needs, including nutrition support.

4. Strengthening community-based treatment programs: The study highlights the effectiveness of community-based treatment for uncomplicated SAM. Innovations could focus on strengthening and expanding community-based treatment programs, ensuring that they are accessible, affordable, and sustainable.

5. Addressing barriers to treatment adherence: Innovations could focus on addressing barriers to treatment adherence, such as caregiver travel or inability to comply with the checkup schedule. This could involve implementing strategies to improve caregiver engagement, providing support for transportation, and utilizing mobile health technologies for remote monitoring and support.

It is important to note that these recommendations are based on the specific context of the study mentioned and may need to be adapted to different settings and populations.
AI Innovations Description
The recommendation from the study is to consider reducing the dose of ready-to-use therapeutic foods (RUTFs) given to children with uncomplicated severe acute malnutrition (SAM) after two weeks of treatment. The study found that reducing the RUTF dose did not negatively impact weight gain velocity or overall treatment outcomes. However, it did have a small negative effect on linear growth, particularly in children under 12 months of age. The potential impact of reducing the RUTF dose on treatment outcomes should be further evaluated before implementing it on a larger scale.
AI Innovations Methodology
The study described in the provided text focuses on the impact of reducing the dose of ready-to-use therapeutic foods (RUTFs) on the treatment of children with uncomplicated severe acute malnutrition (SAM) in Burkina Faso. The goal of the study was to determine if a reduced RUTF dose would be non-inferior to the standard dose in terms of weight gain velocity and other treatment outcomes.

To simulate the impact of recommendations on improving access to maternal health, a methodology could be developed using the following steps:

1. Identify the recommendations: Based on the specific context and needs, identify the recommendations that could improve access to maternal health. These recommendations could include interventions such as increasing the number of healthcare facilities, improving transportation infrastructure, training healthcare providers, implementing telemedicine services, or increasing community awareness and education.

2. Define the indicators: Determine the indicators that will be used to measure the impact of the recommendations on improving access to maternal health. These indicators could include metrics such as the number of women receiving prenatal care, the number of skilled birth attendants present during deliveries, the maternal mortality rate, or the percentage of women accessing postnatal care.

3. Collect baseline data: Collect baseline data on the selected indicators to establish a starting point for measuring the impact of the recommendations. This data could be obtained from existing health records, surveys, or other relevant sources.

4. Simulate the impact: Use mathematical modeling or statistical analysis techniques to simulate the impact of the recommendations on the selected indicators. This could involve creating a simulation model that takes into account various factors such as population size, healthcare infrastructure, and resource availability. The model can then be used to estimate the potential impact of the recommendations on improving access to maternal health.

5. Validate the simulation: Validate the simulation results by comparing them with real-world data or conducting pilot studies to assess the feasibility and effectiveness of implementing the recommendations. This step helps ensure that the simulation accurately reflects the potential impact of the recommendations.

6. Refine and iterate: Based on the simulation results and validation, refine the recommendations and methodology as needed. Iterate the process by collecting updated data, simulating the impact, and validating the results to continuously improve the accuracy and effectiveness of the recommendations.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of different recommendations on improving access to maternal health. This information can then be used to make informed decisions and prioritize interventions that are most likely to have a positive impact on maternal health outcomes.

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