Effectiveness of a monthly schedule of followup for the treatment of uncomplicated severe acute malnutrition in Sokoto, Nigeria: A cluster randomized crossover trial

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Study Justification:
The study aimed to investigate the effectiveness of a monthly clinic visit schedule compared to the standard weekly follow-up for the treatment of uncomplicated severe acute malnutrition (SAM) in children in Sokoto, Nigeria. The justification for the study was based on the potential barriers to access faced by caregivers, such as distance to outpatient clinics and high opportunity costs. Reducing the frequency of outpatient visits while providing training to caregivers to recognize clinical danger signs at home could increase acceptability, coverage, and the public health impact of SAM treatment.
Study Highlights:
The study was a cluster randomized crossover trial conducted from January 2018 to November 2019. A total of 3,945 children aged 6 to 59 months were enrolled at 10 health centers in Sokoto, Nigeria. The primary outcome of nutritional recovery, defined as having midupper arm circumference (MUAC) ≥125 mm on 2 consecutive visits, was analyzed using generalized linear models. The study found that nutritional recovery was lower in the monthly follow-up group compared to the weekly follow-up group, and noninferiority was not demonstrated. However, the proportion of children defaulting was lower in the monthly group, and children in the monthly group were less likely to relapse compared to those in the weekly group. Cumulative mortality at 3 months postdischarge was higher in the monthly group.
Recommendations:
Based on the study findings, the following recommendations can be made:
1. Consider the potential benefits of a monthly clinic visit schedule for the treatment of uncomplicated SAM, such as reduced default rates and lower relapse rates.
2. Evaluate strategies to improve nutritional recovery rates in the monthly follow-up group to ensure noninferiority compared to the weekly follow-up group.
3. Explore interventions to reduce cumulative mortality at 3 months postdischarge in the monthly follow-up group.
Key Role Players:
To address the recommendations, the following key role players may be needed:
1. Health center staff: Trained health care workers who can provide clinic-based care and support the implementation of the monthly clinic visit schedule.
2. Caregivers: Caregivers play a crucial role in monitoring the clinical and anthropometric status of the child at home between clinic visits.
3. Community health workers: Community health workers can conduct home visits to assess the safety of the program and provide support to caregivers.
4. Sokoto State Ministry of Health: The ministry can provide support and resources for the implementation of the monthly clinic visit schedule.
Cost Items for Planning Recommendations:
While the actual cost of implementing the recommendations will depend on various factors, the following cost items may need to be considered in the planning process:
1. Training and capacity building: Costs associated with training health center staff, community health workers, and caregivers on the monthly clinic visit schedule and related interventions.
2. Educational materials: Costs for developing and distributing culturally appropriate educational tools and messages for facility-based and home-based use.
3. Program implementation: Costs for providing free SAM treatment, including therapeutic foods, at the health centers.
4. Monitoring and evaluation: Costs for data collection, analysis, and reporting to assess the effectiveness and impact of the monthly clinic visit schedule.
5. Support services: Costs for providing transportation, medicine, and testing during inpatient care for children referred from home visits.
Please note that the above cost items are estimates and may vary depending on the specific context and resources available.

Background Community-based: management of severe acute malnutrition : (SAM) involves weekly or biweekly outpatient clinic visits for clinical surveillance and distribution of therapeutic foods. Distance to outpatient clinics and high opportunity costs for caregivers can represent major barriers to access. Reducing the frequency of outpatient visits while providing training to caregivers to recognize clinical danger signs at home between outpatient visits may increase acceptability, coverage, and public health impact of SAM treatment. We investigated the effectiveness of monthly clinic visits compared to the standard weekly follow-up in the outpatient treatment of uncomplicated SAM in northwestern Nigeria. Methods and findings We conducted a cluster randomized crossover trial to test the noninferiority of nutritional recovery in children with uncomplicated SAM receiving monthly follow-up compared to the standard weekly schedule. From January 2018 to November 2019, 3,945 children aged 6 to 59 months were enrolled at 10 health centers (5 assigned to monthly follow-up and 5 assigned to weekly follow-up) in Sokoto, Nigeria. In total, 96% of children (n = 1,976 in the monthly follow-up group and 1,802 in the weekly follow-up group) were followed until program discharge, and 91% (n = 1,873 in the monthly follow-up group and 1,721 in the weekly follow-up group) were followed to 3 months postdischarge. The mean age at admission was 15.8 months (standard deviation [SD] 7.1), 2,097/3,945 (53.2%) were girls, and the mean midupper arm circumference (MUAC) at admission was 105.8 mm (SD 6.0). In a modified intention-to-treat analysis, the primary outcome of nutritional recovery, defined as having MUAC ≥125 mm on 2 consecutive visits, was analyzed using generalized linear models, with generalized estimating equations to account for clustering. Nutritional recovery was lower in the monthly follow-up group compared to the weekly group (1,036/1,976, 52.4% versus 1,059/1,802, 58.8%; risk difference: −6.8%), and noninferiority was not demonstrated (lower bound of the confidence interval [CI] was −11.5%, lower than the noninferiority margin of 10%). The proportion of children defaulting was lower in the monthly group than in the weekly group (109/1,976, 5.5% versus 151/1,802, 8.4%, p = 0.03). Three months postdischarge, children in the monthly group were less likely to relapse compared to those in the weekly group (58/976, 5.9% versus 78/1,005,:7.8%, p = 0.03), but cumulative mortality at 3 months postdischarge was higher in the monthly group (159/1,873, 8.5% versus 106/1,721, 6.2%, p < 0.001). Study results may depend on context-specific factors including baseline level of care and the clinical status of children presenting to health centers, and, thus, generalizability of these results may be limited.

We conducted a cluster randomized crossover trial of a monthly schedule of clinic visit follow-up in the treatment of uncomplicated SAM among children aged 6 to 59 months with a noninferiority design (ClinicalTrials.gov ID: {"type":"clinical-trial","attrs":{"text":"NCT03140904","term_id":"NCT03140904"}}NCT03140904). The study protocol and the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) Checklist are provided as S1 Protocol and S1 STROBE Checklist. The study was conducted in 10 outpatient clinics in the Binji and Wamako local government areas (LGA) in Sokoto state in northwestern Nigeria. This setting is a rural area largely representative of the Sahel region with endemic malnutrition and seasonal peaks of acute malnutrition during the lean season prior to harvest. While national SAM prevalence in Nigeria is 2% [10], northwestern Nigeria experiences the highest rates of malnutrition in the country, with reported SAM prevalence of 7.9% in children <5 years old in Sokoto state in 2018 [10]. CMAM was introduced in northern Nigeria in 2009, and by 2014, achieved coverage of 37% of children eligible for care [11]. The program includes clinic-based care provided by trained health care workers. SAM treatment was provided free of charge in all 10 study sites by the Sokoto State Ministry of Health (SMOH), with support from UNICEF. The study population included children newly admitted for the treatment of uncomplicated SAM at 1 of 10 outpatient clinics between January 2018 and November 2019. Eligibility criteria for treatment of uncomplicated SAM according to local program criteria were minimum weight of 3.5 kg, midupper arm circumference (MUAC) <115 mm and/or grades 1 and 2 edema, absence of current illness requiring inpatient care, and age 6 to 59 months. Additional inclusion criteria were residence in the catchment area of one of the study clinics and written informed consent of the parent or legal guardian. Cases of relapse, where the child was previously successfully treated, discharged as cured and returned with a new episode of acute malnutrition within 2 months of discharge, were eligible for admission, as were those transferred from inpatient care to outpatient care to continue treatment. Returned defaulters who were absent for 3 consecutive visits before recovery and returned to continue treatment and children transferred from another outpatient site were not eligible. Other exclusion criteria for the study included reported history of allergy to peanuts and any other condition which, in the judgment of the field investigator, would interfere with or serve as a contraindication to protocol adherence or the ability to give informed consent. The study compared 2 schedules of follow-up: The proposed monthly schedule of follow-up involved an extension of the period between which the child received a physical assessment by a trained health worker from 1 week to 1 month. During this time, caregivers were asked to monitor the clinical and anthropometric status of the child at home and return to the outpatient clinic for medical attention upon development of any clinical sign of concern (e.g., diarrhea, vomiting, fever, lethargy, lack of appetite, edema, cough, difficulty breathing, or convulsions). To support caregivers in these tasks, culturally appropriate educational tools and messages, including materials for facility-based instruction (e.g., posters and pictorial flip charts), as well as for home-based use (e.g., pocket pictorial cards), were developed with Médecins Sans Frontières France and the Laboratoire d’Etudes et de Recherche sur les Dynamiques Sociales et le Développement Local (LASDEL) in 2014. The tools covered the key topics of (a) home-based MUAC measurement; (b) clinical surveillance of key danger signs or symptoms; and (c) appropriate storage and use of the monthly therapeutic ration. The feasibility and acceptability of these tools were tested in a pilot study in Madarounfa, Niger [12,13]. Caregiver understanding of clinical danger signs increased following training and agreement between MUAC measurements was high between nurses and caregivers. All children admitted for outpatient treatment at a participating study clinic received the same schedule of follow-up (e.g., weekly or monthly clinic visits). Due to lower than expected enrollment in the first 11 months of the study, a 12-month extension of the enrollment period, together with a crossover design to increase study power and efficiency [14], was implemented. On December 17, 2018, the crossover was executed in the field: Outpatient clinics that had been administering monthly visits began to administer weekly visits to all newly admitted children and vice versa. Intervention assignment among children already under follow-up did not change at the time of crossover, and children were analyzed as the group their sites were randomized to at the time of their enrolment. As crossover occurred at the site level, staff ensured children already enrolled completed treatment until discharge under their site’s initial treatment and administered the new crossover treatment only to newly enrolled children. There was no washout period at the site level. At each follow-up visit at the health clinic, a physical exam and anthropometric surveillance were performed, and a therapeutic ration of ready-to-use therapeutic food (RUTF) was distributed. Study staff carried out anthropometric measurements with the use of standardized methods and calibrated instruments [15]. Child height (recumbent length if <85 cm) was measured to the nearest 0.1 cm using a wooden measurement board. Weight was measured to the nearest 0.1 kg using electronic seca scales. Standard medical care was provided as per the national protocol for the treatment of acute malnutrition [16]. As per study protocol, all children received an unannounced home visit within 2 weeks of admission by community health workers to assess the safety of the program and a 3-month postdischarge clinic visit to assess longer-term outcomes. At the home safety visit, study staff assessed incident morbidities, measured MUAC, and counted the number of used RUTF sachets in the household as a proxy to assess appropriate use of the RUTF rations early in treatment. Children with clinical danger signs identified at the home safety visit were referred to the health center for care, and fees for transportation to the hospital, medicine, and testing during eventual inpatient care were taken in charge by the study. To measure RUTF adherence, caregivers were instructed to return to each scheduled clinic visit with used and unused RUTF sachets distributed at the previous visit. A child was defined as compliant if, at the end of treatment, their caregiver returned used at least 80% of sachets provided before the final clinic visit of treatment. The unit of randomization was the SMOH-supported outpatient clinic. The 10 health clinics in Binji and Wamako LGAs were stratified by size of admission (6 sites with ≥500 admissions per year and 4 sites with <500 admissions per year), and centers within each stratum were randomized in a 1:1 ratio to one of the 2 schedules of follow-up. Randomization assignment was made by lottery, in which a local representative selected the name of one of the 2 interventions from an opaque plastic jar. Due to the nature of the intervention, neither the investigators nor participants were blinded. The primary effectiveness outcome was nutritional recovery, defined in both groups as being free from medical complications, having MUAC ≥125 mm on 2 consecutive clinic visits, and no edema. Secondary effectiveness outcomes assessed at program discharge were nonresponse (defined as not meeting the definition of nutritional recovery by 12 weeks from admission); default (defined as 3 missed scheduled clinic visits in the weekly follow-up group and 1 missed scheduled clinic visit in the monthly follow-up group); hospitalization (defined as all-cause, due to weight/edema changes, and/or due to clinical complication, and not including events that ended in death); death from any cause; and among recovered children, weight gain (g/kg/day) at week 4 and week 8 from admission and at program discharge and length of stay from admission to program discharge. At each scheduled clinic visit, incident morbidities assessed by study staff or caregiver report included edema, diarrhea, vomiting, fever, cough, lack of appetite, high temperature, tachypnea, dehydration, pallor, and superficial skin infection at the clinic visit or in the previous week. To assess the early safety of the program at the 2-week home visit, morbidities and change in MUAC (mm/day) from the admission visit to the home visit were recorded. In addition, the RUTF deviance was calculated as the difference between the number of used RUTF sachets observed at home compared to the number expected based on the time since admission and the child’s prescribed dose, as described previously [12]. At 3 months postdischarge, longer-term outcomes assessed were all-cause hospitalization, all-cause cumulative mortality, and relapse after treatment recovery (defined as a maternal report of admission to any therapeutic feeding program within 3 months of discharge from the index admission or MUAC 90% power to detect a noninferiority margin difference between the group proportions of −0.10 [17]. The noninferiority margin of 10% was chosen to represent a difference in recovery with programmatic and policy importance within this context. The analysis of the primary outcome, nutritional recovery, was a noninferiority analysis. If the lower bound of the observed risk difference confidence interval (CI) was greater than the noninferiority margin of −0.10, there would be evidence that monthly follow-up was noninferior to weekly follow-up. To estimate risk difference for nutritional recovery, we used a binomial regression with an identity link. For each of the other program outcomes, morbidity at the home safety visit, RUTF adherence, and all postdischarge outcomes, we used log-binomial regression to estimate relative risk and associated 95% CIs comparing intervention groups. Weight gain and length of stay among recovered children, as well as change in MUAC observed at the safety visit, were analyzed using linear regression. We analyzed the incidence of morbidities at clinic visits using Poisson regression, with the number of visits as an offset term. For every analysis, we used generalized estimating equations with clustering by site within each crossover period [18], choosing a full model accounting for clustering by site between crossover periods where appropriate [19]. We defined the lean season as the period of increased admission before the harvest period (July to October) and included an interaction between intervention group and season to assess differences in program effectiveness and RUTF adherence by season. Finally, we assessed differences in RUTF adherence by whether there were ±2 children under 5 years living in the household by including an interaction term. All analyses were performed on the modified intention-to-treat basis, which excluded individuals with protocol violations (n = 72) and those who withdrew consent during the study (n = 99). Data entry was performed using EpiInfo version 7.2.2.2, and sample size calculations and analyses were performed using SAS version 9.3 (SAS Institute, Cary, North Carolina, United States of America) and R, version 4.0.2. The study was approved by the research ethics committee of Harvard T.H. Chan School of Public Health and the SMOH, Nigeria and was conducted in accordance with the Declaration of Helsinki. An independent data and safety monitoring board reviewed study progress and safety events. Caregivers provided written informed consent before admission and were made aware of their ability to withdraw from the study at any time.

Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Telemedicine: Implementing telemedicine services can allow pregnant women to receive remote consultations and check-ups, reducing the need for frequent clinic visits and minimizing travel distances.

2. Mobile health applications: Developing mobile applications that provide educational resources, appointment reminders, and personalized health information can empower pregnant women to take control of their own health and access necessary care.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, health education, and referrals in remote or underserved areas can improve access to maternal health services.

4. Transportation support: Establishing transportation services or subsidies specifically for pregnant women can help overcome geographical barriers and ensure that they can reach healthcare facilities in a timely manner.

5. Task-shifting: Expanding the roles of midwives, nurses, and other healthcare providers to perform certain tasks traditionally done by doctors can increase the availability of skilled care and reduce the burden on limited resources.

6. Mobile clinics: Setting up mobile clinics that travel to remote areas or underserved communities can bring essential maternal health services closer to those who need them, reducing the need for long-distance travel.

7. Community-based health financing: Implementing community-based health financing schemes, such as health insurance or savings groups, can help pregnant women afford the cost of maternal healthcare services and reduce financial barriers to access.

8. Public-private partnerships: Collaborating with private healthcare providers to expand access to maternal health services can help bridge gaps in service delivery and increase the availability of quality care.

9. Health education campaigns: Conducting targeted health education campaigns to raise awareness about the importance of maternal health, prenatal care, and available services can encourage pregnant women to seek timely and appropriate care.

10. Improving infrastructure: Investing in the improvement of healthcare infrastructure, including the construction or renovation of clinics and maternity facilities, can enhance the capacity to provide maternal health services and accommodate more patients.

It’s important to note that the specific context and needs of the community should be considered when implementing these innovations to ensure their effectiveness and sustainability.
AI Innovations Description
The recommendation based on the study is to implement a monthly schedule of follow-up for the treatment of uncomplicated severe acute malnutrition (SAM) in order to improve access to maternal health. This approach involves extending the period between clinic visits from weekly to monthly, while providing training to caregivers to recognize clinical danger signs at home. By reducing the frequency of outpatient visits and empowering caregivers to monitor the health of their children at home, this innovation aims to increase acceptability, coverage, and the overall impact of SAM treatment. However, it is important to note that the study found that the monthly follow-up schedule was not noninferior to the standard weekly schedule in terms of nutritional recovery. Therefore, further research and contextual considerations are needed to determine the feasibility and effectiveness of implementing this recommendation in different settings.
AI Innovations Methodology
The study described in the provided text aimed to investigate the effectiveness of a monthly clinic visit schedule compared to the standard weekly follow-up in the outpatient treatment of uncomplicated severe acute malnutrition (SAM) in northwestern Nigeria. The goal was to determine if reducing the frequency of outpatient visits while providing training to caregivers to recognize clinical danger signs at home could increase acceptability, coverage, and the public health impact of SAM treatment.

To simulate the impact of recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Identify the recommendations: Based on the study findings and other relevant research, identify specific recommendations that could improve access to maternal health. For example, recommendations could include implementing a monthly clinic visit schedule, providing training to caregivers on recognizing danger signs, improving transportation infrastructure, or increasing the availability of healthcare facilities in rural areas.

2. Define the simulation model: Develop a simulation model that represents the current state of maternal health access and outcomes in the target population. The model should include relevant factors such as the number and location of healthcare facilities, transportation options, population demographics, and healthcare utilization patterns.

3. Incorporate the recommendations: Modify the simulation model to incorporate the recommended changes. For example, adjust the frequency of clinic visits, simulate the effects of caregiver training on recognizing danger signs, or add new healthcare facilities in underserved areas.

4. Define outcome measures: Determine the outcome measures that will be used to evaluate the impact of the recommendations. This could include metrics such as the number of maternal deaths, the percentage of pregnant women receiving prenatal care, or the average distance traveled to access maternal healthcare.

5. Run the simulation: Run the simulation model using different scenarios that represent the implementation of the recommendations. Compare the outcomes of each scenario to the baseline scenario representing the current state of maternal health access.

6. Analyze the results: Analyze the simulation results to assess the impact of the recommendations on improving access to maternal health. This could involve comparing outcome measures between different scenarios and identifying the most effective recommendations.

7. Validate the simulation: Validate the simulation model by comparing the simulated outcomes to real-world data, if available. This will help ensure the accuracy and reliability of the simulation results.

8. Refine and iterate: Based on the simulation results and validation, refine the recommendations and the simulation model as needed. Iterate the simulation process to further explore different scenarios and assess the potential long-term impact 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 inform decision-making and help prioritize interventions that are most likely to have a positive effect on maternal health outcomes.

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