The REFANI-S study protocol: A non-randomised cluster controlled trial to assess the role of an unconditional cash transfer, a non-food item kit, and free piped water in reducing the risk of acute malnutrition among children aged 6-59 months living in camps for internally displaced persons in the Afgooye corridor, Somalia

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Study Justification:
The study aims to assess the impact of an unconditional cash transfer (CTP), a non-food item kit, and free piped water on the risk of acute malnutrition in children aged 6-59 months living in camps for internally displaced persons (IDP) in the Afgooye corridor, Somalia. The prevalence of acute malnutrition is high in emergency-affected populations, and it is associated with increased mortality risk and long-term health consequences. Cash transfer programs are increasingly used as a nutritional intervention, but there is limited evidence on their impact. This study will provide much-needed evidence on the role of unconditional CTP in reducing the risk of acute malnutrition in this context.
Highlights:
– The study will assess the impact of an unconditional cash transfer, a non-food item kit, and free piped water on the risk of acute malnutrition in children aged 6-59 months in IDP camps in Somalia.
– The intervention includes a monthly cash transfer of US$84 per month for 5 months, a non-food item kit, and provision of piped water through tap stands.
– The study will be conducted in 10 intervention camps and 10 control camps in the Afgooye corridor, Somalia.
– Data will be collected through household surveys, community surveillance system, and routine quantitative program data.
– The primary outcome measures include the incidence of acute malnutrition and mean individual diet diversity scores in children aged 6-59 months.
– The study will provide evidence on the effectiveness of unconditional cash transfers in reducing the risk of acute malnutrition in IDP camps.
Recommendations:
Based on the study findings, the following recommendations can be made:
1. Consider implementing unconditional cash transfer programs in IDP camps as a nutritional intervention to reduce the risk of acute malnutrition in children aged 6-59 months.
2. Provide non-food item kits to households in IDP camps to improve their living conditions and reduce the risk of malnutrition.
3. Ensure access to free piped water through tap stands in IDP camps to improve hygiene and sanitation practices, which can contribute to reducing the risk of malnutrition.
4. Strengthen the capacity of local Maternal and Child Health and Nutrition (MCHN) centers and Outpatient Therapeutic Programs (OTP) to provide treatment for malnourished children and pregnant/lactating mothers in IDP camps.
Key Role Players:
1. Concern Worldwide: Responsible for implementing the intervention as part of their humanitarian programming.
2. UK Department for International Development: Provides funding for the study.
3. European Civil Protection and Humanitarian Aid Operations: Funds the intervention.
4. University College London (UCL): Provides technical lead for the study design and implementation.
5. Action Against Hunger (ACF): Part of the REFANI Consortium and involved in the overall research on food assistance for nutritional impact.
Cost Items:
1. Cash transfer: US$84 per month for 5 months.
2. Non-food item kit: Includes one plastic sheet, two mosquito nets, one blanket, one sleeping mat, one kitchen set, one bar of soap, two collapsible jerry cans, and one set of sanitary pads.
3. Provision of piped water through tap stands.
4. Training and supervision of field teams.
5. Data collection using mobile devices and paper.
6. Qualitative data collection, including interviews, focus group discussions, and observation notes.
7. Anthropometric measurements equipment, such as digital scales and portable stadiometers.
8. Data analysis using Stata software.
9. Staff salaries and logistical support for field teams.
Please note that the above cost items are estimates and may vary depending on the specific implementation context.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study design is a non-randomized cluster-controlled trial, which may introduce bias. To improve the evidence, randomization could be implemented to ensure unbiased allocation of the intervention. Additionally, the sample size for assessing the impact of the intervention on malnutrition incidence is relatively small, which may limit the generalizability of the findings. Increasing the sample size would strengthen the evidence. Finally, the abstract does not mention any blinding procedures, which could introduce bias. Implementing blinding procedures would improve the rigor of the study.

Background: The prevalence of acute malnutrition is often high in emergency-affected populations and is associated with elevated mortality risk and long-term health consequences. Increasingly, cash transfer programmes (CTP) are used instead of direct food aid as a nutritional intervention, but there is sparse evidence on their nutritional impact. We aim to understand whether CTP reduces acute malnutrition and its known risk factors. Methods/design: A non-randomised, cluster-controlled trial will assess the impact of an unconditional cash transfer of US$84 per month for 5 months, a single non-food items kit, and free piped water on the risk of acute malnutrition in children, aged 6-59 months. The study will take place in camps for internally displaced persons (IDP) in peri-urban Mogadishu, Somalia. A cluster will consist of one IDP camp and 10 camps will be allocated to receive the intervention based on vulnerability targeting criteria. The control camps will then be selected from the same geographical area. Needs assessment data indicates small differences in vulnerability between camps. In each trial arm, 120 households will be randomly sampled and two detailed household surveys will be implemented at baseline and 3 months after the initiation of the cash transfer. The survey questionnaire will cover risk factors for malnutrition including household expenditure, assets, food security, diet diversity, coping strategies, morbidity, WASH, and access to health care. A community surveillance system will collect monthly mid-upper arm circumference measurements from all children aged 6-59 months in the study clusters to assess the incidence of acute malnutrition over the duration of the intervention. Process evaluation data will be compiled from routine quantitative programme data and primary qualitative data collected using key informant interviews and focus group discussions. The UK Department for International Development will provide funding for this study. The European Civil Protection and Humanitarian Aid Operations will fund the intervention. Concern Worldwide will implement the intervention as part of their humanitarian programming. Discussion: This non-randomised cluster controlled trial will provide needed evidence on the role of unconditional CTP in reducing the risk of acute malnutrition among IDP in this context. Trial registration: ISRCTN29521514. Registered 19 January 2016.

To conduct a non-randomised cluster-controlled trial to assess the impact of an unconditional CTP on acute malnutrition and its associated risk factors in children aged 6–59 months, living in IDP camps in the Afgooye Corridor, a region close to Mogadishu, Somalia. We have two hypotheses. 1. Unconditional cash transfers reduce the risk of developing acute malnutrition in children aged 6–59 months. 2. Unconditional cash transfers reduce known risk factors for acute malnutrition in IDP camps located in a peri-urban area of Mogadishu, Somalia. The study will be conducted in IDP camps located in Weydow area, Deyniile district, Mogadishu. Deyniile and Dharkenley, two of the 17 districts of Banaadir region, host the majority of IDP in Mogadishu, who are primarily from marginalised tribes or minority groups [13]. Concern Worldwide (hereafter Concern) has been implementing multi-sector development and humanitarian assistance programmes in this setting. The IDP camps in Weydow area are privately run, spontaneous settlements that are often overcrowded, lack basic sanitation and health services, and face recurrent evictions. Morbidity (diarrhoea, pneumonia, and fever) estimates in these camps are high and may be a major driver for high global acute malnutrition (GAM) estimates [6]. During the wet seasons (Gu and Deyr, Apr-Jun and Oct-Dec, respectively), morbidity estimates are particularly high, mainly due to diarrhoea [6]. Most of the IDP were previously agro-pastoralists and riverine farmers that lived in the Bay, Bakool, and Shabelle regions [13]. Currently, their primary livelihoods sources are casual labour, petty trading, and humanitarian assistance received from local and international humanitarian organisations [6]. The intervention will comprise a monthly unconditional CTP of US$ 84.00/month for 5 months, a once-only distribution of a non-food items (NFI) kit, and the provision of piped water through tap stands. The monthly cash amount was based on the cost of the Minimum Expenditure Basket (MEB) developed by the FAO’s Food security and Nutrition Analysis Unit (FSNAU). The MEB represents a minimum set of basic food items such as sorghum, vegetable oil and sugar, comprising 2100 kcal/person/day basic energy requirement for a household of 6–7 members, and non-food items such as such as water, kerosene, firewood, soap and cereal grinding costs. As a reference, Fig. ​Fig.22 shows the historical cost of MEB in the Banaadir region from January 2011 to December 2016. The cost of a Minimum Expenditure Basket (MEB) in the Banaadir region, 2011–2016. Data obtained and adapted from the FSNAU website (http://www.fsnau.org/sectors/markets). The MEB cost is calculated based on a minimum set of basic food items such as sorghum, vegetable oil and sugar, that will supply 2100 kcal/person/day for a household of 6–7 members, and non-food items such as such as water, kerosene, firewood, soap, and cereal milling costs Upon registration, a household female representative will receive a mobile phone SIM card with a unique number, through which they will receive the transfer via a mobile money transfer company. The intervention will target women as the household cash recipient, on the assumption that their spending is more likely to benefit their children [14]. The NFI kit will comprise one plastic sheet, two mosquito nets, one blanket, one sleeping mat, one kitchen set, one bar of soap, two collapsible jerry cans, and one set of sanitary pads. Concern will also continue to provide support and equipment to the local Maternal and Child Health and Nutrition (MCHN) centres and Outpatient Therapeutic Programmes (OTP), where malnourished children and pregnant and lactating mothers of the study area will be referred for treatment. Improved pit latrines have been provided by Concern and other NGOs in most of the camps included in the study. The study design is a non-randomised cluster controlled trial. Concern will implement a routine needs assessment exercise to identify vulnerable beneficiaries and on that basis select the camps that will receive the intervention. All households in the selected camps will be registered for the intervention. A non-randomised design was chosen as the best available approach in this setting because the intervention will be allocated based on vulnerability criteria. The cluster unit in the trial will be an IDP camp and the intervention arm will include 10 IDP camps selected to receive the intervention. The reason that only 10 camps can be selected to receive the intervention is the limit in the donor funding that is available to provide services in this area. The control arm will include another 10 IDP camps, located adjacent to the intervention camps that will not receive the intervention. Routine programme data suggests small differences in vulnerability between camps. Households in both arms will benefit from the services provided by Concern, such as care from OTP and MCHN centres. Data collection will consist of three main components: Based on our working assumption that insecurity in the field will constrain the possibility of following-up the baseline sample, the surveys will select independent samples of households from the study clusters at the two periods. If security conditions are worse than anticipated and do not allow sampling within a sufficient number of clusters, then we will collect data from a single control and intervention cluster and the data will be analysed as a before and after comparative cross-sectional study. Furthermore, if security conditions do not allow us to undertake repeated surveys in the same clusters, then we will undertake a single survey at the end of the intervention, and the data will be analysed as a cross-sectional study. However, if field conditions are better than anticipated, we will follow-up the baseline sample and the data will be analysed as a longitudinal cohort. The surveys will collect data at the household level and from all the children aged <5 years and their mothers/carers living in the selected households. The data collected in these surveys will comprise data on household demographics, household expenditure and income, assets, food security, diet diversity, coping strategies, morbidity, WASH, access to health care, and infant and young child feeding practices. The surveys will also collect anthropometric data from children to describe their nutritional status. However, this anthropometric data will not be used to assess the impact of the intervention due to sample size limitations (see below). Sample size calculations were performed using Stata (StataCorp. 2015. Release 14. College Station, TX: StataCorp LP). For assessing the change in malnutrition risk factors using survey methods, the sample size was estimated to be able to detect a difference of 0.6 units in the mean individual dietary diversity score (IDDS). A positive change of about 2 units in the household diet diversity score was observed in response to a social CTP in Malawi [15]; but other studies had lower changes [16, 17]. There is little data on IDDS change following cash transfers so we decided to power the study to detect a conservative change, assuming a baseline IDDS of 3.0 with a SD of 1.5, with power of 80%, an alpha risk at 0.05, and an intra-cluster correlation coefficient of 0.01. The resulting required sample size was 120 children per arm. Based on previous nutrition survey data we assumed an average of 1.2 children, aged 6–59 month per household, which implies that 200 households will need to be sampled during each data collection period. Based on previous survey experience, we added 20% to allow for non-response leading to a required total sample of 240 households. To assess malnutrition incidence using the community surveillance system and detect a hazard ratio of 0.5, we assumed, based on operational guidance for caseload estimations, that the proportion of the population under surveillance that would develop GAM during 6 months was 7%, and there would be 20% loss to follow up. Power was set at 80% and the alpha risk at 0.05. This resulted in a total sample size of 1167 children, which equated to a rounded sample of 600 participants per arm. Because data will be obtained from an exhaustive sample of children in both control and intervention clusters, we expect to have a greater sample. Quantitative data will be collected using questionnaires translated into the local Somali language, and addressed to the primary carer of the child included in the study. A two-week training will be implemented for enumerators and supervisors prior to survey implementation. During this training we will pilot questionnaires. Survey data will be collected using mobile devices and community surveillance data will be collected on paper. The study and data collection timelines are outlined in Table ​Table1.1. Baseline and endline surveys will take place in March and June 2016, respectively. The community surveillance system will start data collection in March 2016 and will continue for about 1 year. REFANI-S intervention and data collection timeline Four teams, each with two enumerators and led by two supervisors, will undertake data collection for the surveys. The qualitative data collection will be undertaken by one team with a supervisor. For the surveillance system, a total of 16 CHW will collect data, grouped into 4 teams of 4 members, each team with one supervisor. A field coordinator and a study coordinator will supervise all field-teams. All the study team except the study coordinator will be local staff and will be based in the Mogadishu area. Qualitative data will be collected by a trained team in the local Somali language. The primary outcome measures are (1) incidence of acute malnutrition in children aged 6–59 months, as defined as a MUAC <12.5 cm and/or the presence of bilateral pitting oedema; and (2) mean individual diet diversity scores values of children aged 6–59 months. The secondary outcome measures are (1) prevalence of GAM, as defined as a weight-for-length/height z-score < −2 (WHO 2006 Growth Standards) and/or bilateral pitting oedema in children aged 6–59 months; (2) mean weight-for-length/height values in children aged 6–59 months; (3) mean 30-day household expenditure; (4) mean household dietary diversity score, obtained using 24-h recall data; (5) mean household food insecurity access scale score, obtained using one-month recall data; (6) mean coping strategies index values, obtained using a 7-day recall data; (7) mean maternal MUAC; (8) mean maternal BMI. Body weight will be measured to the nearest 0.1 kg using a digital scale (Seca 874, Seca). Children will be weighed without clothes, and those unable to stand will be weighed with the caregiver, using the mother/child function of the scale. Women will be asked to remove all accessories, shoes and excess clothing before being weighed. Height (or recumbent length or height for children aged <24 months or measuring <87 cm) will be measured to the nearest 0.1 cm using a portable stadiometer (ShorrBoard, Shorr Production). MUAC will be measured on the left arm using an insertion tape to the nearest 0.1 cm. Bilateral pitting oedema on the dorsum of the foot will be assessed by applying medium pressure on both feet with thumbs for 3 s and determining the presence/absence of an indentation. Routine programme monitoring and health facility admissions data will be collated and analysed using Excel 2013 to assess the implementation of the intervention and detect changes in the health and nutrition situation in the area. We will monitor and record the provision of relief interventions by other NGOs and any significant developments in security, economic situation, or infrastructure that may influence the health and nutrition situation of the IDP camp residents. The study team will collect qualitative data regarding household members’ perceptions of malnutrition, its risk factors, and the perceived impact of cash transfers. The qualitative data collection will seek to: (1) provide context data to aid interpretation of the findings from the cross sectional surveys; and (2) provide case-narratives to better understand the role of cash transfers in the household economy and their potential role in reducing the risk of malnutrition. Collection of qualitative data will involve a purposively selected sample of cash receiving and non-cash receiving households. Data will be collected using Interviews, focus group discussions, and observation notes. FGD and interviews will be recorded using handheld tape recorders, transcribed in Somali, translated into English and analysed using the framework method for thematic analysis [18]. Analysis will be conducted using NVivo qualitative data analysis Software (QSR International Pty Ltd. 2012. Version 11). Enumerators will be trained in anthropometric measurements and standardisation tests will be undertaken to assess the precision and accuracy of their measurements [19]. Training of field staff on the use of questionnaires will be undertaken through classroom-based lessons, role-play, and piloting. During field data collection, plausibility checks will be run daily on each team’s anthropometric data to assess the likelihood of data errors, using the Emergency Nutrition Assessment software [20]. Digital scales will be checked for accuracy daily using a standard known weight. Training of enumerators will ensure complete understanding of the questions. Qualitative fieldworkers will be recruited based on their skills and experience in collecting qualitative data and will be trained and supervised by an experienced qualitative researcher. Data analysis will be undertaken using Stata. Prevalence estimates at baseline and endline, will be computed using the svy commands which allows for the clustering of values. We will test for endline minus baseline difference-in-differences between the study arms using the data collected in the malnutrition risk factor surveys. Analysis of the incidence of acute malnutrition in the trial arms will be performed using Cox Proportional Hazards analysis. All results will be reported according to STROBE recommendations for observational studies [21]. The study will be jointly managed by Concern and University College London (UCL). Concern will recruit staff and provide financial and logistical support for the field teams. UCL will provide the technical lead for the study design and implementation. Concern will implement the intervention. This study in Somalia is one of three studies that form the work of the Research on Food Assistance for Nutritional Impact (REFANI) Consortium; the other two have been implemented in Niger and Pakistan [22, 23]. The REFANI Consortium is comprised of Action Against Hunger (ACF), Concern, Emergency Nutrition Network and UCL.

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The REFANI-S study protocol aims to assess the impact of an unconditional cash transfer (CTP), a non-food item kit, and free piped water on the risk of acute malnutrition in children aged 6-59 months living in camps for internally displaced persons (IDP) in the Afgooye corridor, Somalia. The study will be conducted in IDP camps located in the Weydow area, Deyniile district, Mogadishu. The intervention will consist of a monthly unconditional CTP of US$84 per month for 5 months, a once-only distribution of a non-food items (NFI) kit, and the provision of piped water through tap stands. The study will use a non-randomized cluster-controlled trial design, with 10 IDP camps allocated to receive the intervention and another 10 IDP camps serving as the control group. Data collection will include household surveys, community surveillance of mid-upper arm circumference measurements, and qualitative data collection through key informant interviews and focus group discussions. The primary outcome measures are the incidence of acute malnutrition in children aged 6-59 months and mean individual diet diversity scores. The study will provide evidence on the role of unconditional CTP in reducing the risk of acute malnutrition among IDP in this context.
AI Innovations Description
The recommendation to improve access to maternal health based on the study protocol is to implement an unconditional cash transfer program (CTP) in IDP camps in the Afgooye Corridor, Somalia. The CTP would provide a monthly cash transfer of US$84 for 5 months to households with children aged 6-59 months. This intervention aims to reduce the risk of acute malnutrition in children and address known risk factors for malnutrition in IDP camps.

In addition to the cash transfer, the intervention also includes the distribution of a non-food items (NFI) kit and the provision of free piped water through tap stands. The NFI kit includes essential items such as plastic sheets, mosquito nets, blankets, sleeping mats, kitchen sets, soap, collapsible jerry cans, and sanitary pads. The provision of piped water aims to improve access to clean water and sanitation facilities in the camps.

The study will be conducted as a non-randomized cluster-controlled trial, with 10 IDP camps selected to receive the intervention and another 10 camps serving as the control group. Data will be collected through household surveys, community surveillance of children’s mid-upper arm circumference measurements, and routine quantitative program data. Qualitative data will also be collected through key informant interviews and focus group discussions.

The primary outcome measures of the study are the incidence of acute malnutrition in children aged 6-59 months and the mean individual diet diversity scores. Secondary outcome measures include the prevalence of global acute malnutrition, mean weight-for-length/height values, household expenditure, household dietary diversity scores, coping strategies, maternal mid-upper arm circumference, and maternal BMI.

The study will be jointly managed by Concern Worldwide and University College London (UCL), with funding provided by the UK Department for International Development and the European Civil Protection and Humanitarian Aid Operations.

Overall, the recommendation is to implement an unconditional cash transfer program, along with the distribution of non-food items and provision of piped water, to improve access to maternal health and reduce the risk of acute malnutrition in children in IDP camps in the Afgooye Corridor, Somalia.
AI Innovations Methodology
The study protocol described is titled “The REFANI-S study protocol: A non-randomised cluster controlled trial to assess the role of an unconditional cash transfer, a non-food item kit, and free piped water in reducing the risk of acute malnutrition among children aged 6-59 months living in camps for internally displaced persons in the Afgooye corridor, Somalia.” The goal of the study is to assess the impact of an unconditional cash transfer program on reducing the risk of acute malnutrition in children living in IDP camps in Somalia.

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

1. Define the objectives: Clearly state the specific objectives of the simulation, such as assessing the impact of the unconditional cash transfer program on maternal health outcomes.

2. Identify the variables: Determine the key variables that will be measured in the simulation, such as maternal mortality rate, access to prenatal care, access to skilled birth attendants, etc.

3. Collect baseline data: Gather data on the current state of maternal health in the target population, including relevant indicators and statistics.

4. Define the intervention: Clearly outline the details of the unconditional cash transfer program, including the amount and duration of the transfers, the target population, and any additional support services provided.

5. Develop a simulation model: Create a mathematical or statistical model that represents the relationship between the intervention and the desired outcomes. This model should take into account factors such as population size, demographic characteristics, and existing healthcare infrastructure.

6. Input data: Use the collected baseline data to input into the simulation model. This may include information on population size, maternal health indicators, and other relevant variables.

7. Run the simulation: Use the simulation model to project the potential impact of the unconditional cash transfer program on maternal health outcomes. This may involve running multiple scenarios to account for different assumptions or variables.

8. Analyze the results: Examine the output of the simulation to determine the potential impact of the intervention on improving access to maternal health. This may involve comparing the projected outcomes with the baseline data and identifying any significant changes or improvements.

9. Validate the results: Validate the simulation results by comparing them with real-world data or conducting further research or evaluations to confirm the findings.

10. Communicate the findings: Present the results of the simulation in a clear and concise manner, highlighting the potential impact of the unconditional cash transfer program on improving access to maternal health. This may involve creating visualizations or reports to effectively communicate the findings to stakeholders and decision-makers.

It is important to note that simulation models are based on assumptions and simplifications of complex real-world systems. Therefore, the results should be interpreted with caution and considered alongside other evidence and expert knowledge.

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