- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05335395
SUNRISE CRT: Radio Intervention to Stimulate Early Child Development (SUNRISE)
SUNRISE Cluster RCT: Scaling Up Nurturing Care, a Radio Intervention to Stimulate Early Child Development in Burkina Faso
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
STUDY AIMS
SUNRISE aims to develop and evaluate, in a cluster randomised trial, a radio campaign in Burkina Faso, to promote nurturing care behaviours in the first 3 years of life, focusing particularly on responsive parenting and providing opportunities for early learning. Children's developmental outcomes will be assessed over the lifetime of the intervention until children are aged 30-32 months.
TRIAL CLUSTERS The trial clusters are defined by the broadcast reach of local radio stations. Eligible clusters for the trial were identified as follows. First 23 potential clusters in areas of Burkina Faso where there is no security risk were identified by modelling the reach and signal strength of local radio stations based on tower location, antenna characteristics, and terrain features. A media survey was then carried out to check the radio stations listened to in each of these clusters. This resulted in 15 clusters which satisfy the following conditions: there are at most two dominant radio stations within the cluster; there is no discernible broadcast from stations in neighbouring clusters; they are not based in the large cities of Ouagadougou or Bobo-Dioulassou; and they are not subject to any security risk.
MAPPING EVALUATION AREAS (EAs) Trial participants will be recruited from an evaluation area within each cluster that is close to the radio station(s), has a high signal strength confirmed by a motorbike survey and likely to have a high listenership based on the media survey. The following will be excluded from the area: towns, villages within 5 Km of towns, villages already on the national electricity grid and villages with populations of 5000 or more as they are likely to be a priority for the national electrification programme.
BASELINE SURVEY
DATA COLLECTION
A baseline survey was carried out before the start of the campaign. Participants were all eligible mothers with a child/children aged less than 3 years. Data comprised socio-demographic and socio-economic factors; parental education levels and literacy; and radio ownership and listening patterns. In addition, the fieldworkers administered the following to mothers of children aged 2 years:
- The short form of the Caregiver Reported Early Development Instruments (CREDI) which is designed to serve as a population-level measure of ECD for children from birth to age three, and which has 20 questions primarily focused on milestones and behaviours that are easy for caregivers to understand, observe, and describe.
- Questions from the support for learning/stimulating environment section of the Family Care Indicators (FCI) survey developed by UNICEF to assess key caregiving/family home environment variables considered critical for early child development. This has been used very extensively, including in the global MICS surveys.
Data from the baseline was used to:
- Inform the content of the SUNRISE radio campaign.
- Provide a sampling frame for the surveillance system of 3-monthly household visits that will be used to recruit trial participants and conduct ECD assessments with GIS maps of households within the EAs.
- Carry out the restricted randomization (see section below).
RANDOMISATION OF CLUSTERS
The SUNRISE campaign will be broadcast by the local radio stations in eight of the clusters chosen at random to be in the intervention group; the other 7 clusters will be in the control group and their radio stations will continue to broadcast as normal. This was carried out using restricted randomization to ensure that the intervention and control clusters were balanced at baseline with respect to radio exposure and predictors of ECD outcomes as follows:
Mean CREDI z-score; difference between intervention and control groups to be a maximum of 0.1.
Mean % key FCI behaviours followed by mothers; difference between intervention and control groups to be a maximum of 10%.
- mothers listening to the radio in the last week; difference between intervention and control groups to be a maximum of 10%.
- mothers who are literate; difference between intervention and control groups to be a maximum of 10%.
The restricted randomization was carried out by the independent trial statistician using the cvcrand command in Stata. This performs covariate-constrained randomisation which is suitable for cluster randomised trials with a small number of clusters.
PARTICIPANTS At least 125 eligible children born in each cluster after the campaign has been running for three months will be enrolled together with their families. They will be identified through 3-monthly surveillance visits to all compounds identified at baseline; it is expected that recruitment will be achieved within a 6-month birth period. They will form the trial cohort and be followed 3-monthly until the end of the radio campaign. The intervention's impact on ECD nurturing care behaviours and ECD outcomes in the first 3 years of life will be evaluated.
DATA COLLECTION The trial will be supported by a surveillance system with regular 3-monthly visits by the cluster fieldworker (FW) to all households. These visits will be used to recruit the trial participants, maximize their follow-up during the trial and collect a variety of data on ECD behaviours and outcomes as well as process evaluation data on radio listening patterns. Details of all primary and secondary outcome assessments are presented in the next section.
SAMPLE SIZE Assessments are anticipated to be carried out on at least 100 children per cluster, after allowing for a maximum 20% loss to follow-up from recruitment. This will give 90% power to detect an effect size of 0.25, assuming an intra-class correlation of 0.01 (personal communication, from the Save the Children ECD trial in Rwanda) and 80% power to detect an effect size of 0.21. It will also give 90% power to detect an effect size of 0.4 on other ECD outcomes, the level achieved in several successful ECD interventions, assuming an intra-class correlation of 0.04, which is informed by unpublished results from the SPRING trial, and 80% power to detect an effect size of 0.33.
STATISTICAL METHODS Findings will be reported according to the CONSORT guidelines for cluster randomized trials. Analyses will be intention to treat and include all data from trial children and their families, regardless of their exposure to the radio campaign. Random-effects linear regression models using individual-level data will be used to adjust for the clustered design and any imbalances between intervention and control arms. Effect sizes will be presented as standardized mean differences with 95% confidence intervals (CI). The data analysis plan will be published prior to the end of recruitment.
PROCESS EVALUATION
Tracking and post-broadcast feedback
Independent radio trackers will determine if spots were broadcast as planned. Post-broadcast feedback on the campaign will be obtained through periodic focus group discussions (FGDs) and semi-structured key informant interviews. These data will be collected from at least two different communities every quarter, throughout the campaign duration.
Surveillance monitoring data
Monitoring data on radio coverage will be collected every 3 months from trial mothers including listenership in the past week and questions concerning child development advice heard on the radio. These data will also be collected from a separate monitoring cohort of mothers who participated in the baseline survey together with 6-monthly questions on key behaviours & knowledge targeted by the campaign.
QUALITATIVE RESEARCH Acceptability will be measured through 25-30 qualitative interviews with caregivers, who will be asked about their experience and views on the intervention approach and content. Data from the post-production feedback research will also be utilized. The mechanisms and barriers to behavioural uptake will be explored through qualitative interviews with a further sample of 25-30 families. Approximately five intervention communities will be selected to reflect the diversity within the study areas. Within communities' respondents will be selected to give diversity in key characteristics such as parity and socio-economic status.
Qualitative analysis will begin through the identification of themes during daily debriefing sessions. Key analytical categories will then be identified, and the interviews systematically indexed into the categories and interpreted and written up. During analysis, consensus coding methods will be used for initial interviews.
ECONOMIC EVALUATION
SUNRISE offers the opportunity to fully cost, from the provider perspective, a large-scale intervention to promote ECD. These provider costs will be used to calculate a range of incremental cost effectiveness ratios including cost per beneficiary and cost per unit of cognitive gain. The full provider costing will then form the basis for affordability estimates calculated as a percentage of national gross domestic product. The cost of a fully-scaled programme will also be compared with current health and education spending in context. Simple modelling of the gains from improved early childhood stimulation, using estimates from the Lancet Series in Early Child Development, would then be used to conduct a fiscal space analysis to explore the expansion in national income likely to arise from the effects of the program, and what percentage of that growth in income the program cost constitutes. Finally, the equity impact of this intervention will be measured, as early child development interventions are known to attenuate the effects of poverty.
DATA MANAGEMENT Data protection and confidentiality procedures will be specified and followed, in keeping with Good Clinical Practice (GCP) and the GDPR 2018. Data collection will be carried out using REDCap which is a secure web application for building and managing online surveys and databases; REDCap is 21 CFR Part 11, FISMA, HIPAA, and GDPR compliant. All data (including video observations) will be collected on secure, password protected handheld tablets within an encrypted database, with the data transferred daily to a secure password protected cloud server, managed by IPA in Ouagadougou. All electronic data will be backed up locally on a weekly basis on encrypted external hard drives and stored offsite in Ouagadougou. Encrypted transfer of pseudonymized quantitative data to LSHTM will take place monthly via secure internet connection to a GCP-compliant LSHTM database, which allows full auditing of all data input and edits. Qualitative interviews will be audio-recorded on digital audio recorders.
As video and audio data cannot be de-identified, transfer of this material to the UK will be done through UCL's Data Safe Haven, which is a dedicated highly secure system for storing and handling sensitive data. The Data Safe Haven has been certified to the ISO27001 information security standard and conforms to the NHS Information Governance Toolkit. Video recordings will be viewed only by members of the SUNRISE team and for the purposes of the research, unless further explicit written consent is obtained.
Data concerning cluster allocation will not be stored in the local or LSHTM research databases, but held separately by the trial statistician in a secure password protected file.
GOVERNANCE The trial will be overseen by an independent Trial Steering Committee (TSC) and Data Monitoring and Ethics Committtee (DMEC). TSC members are: Linda Richter (Chair), Jose Martines, Therese Stukel, Ali Sie. DMEC members are Rajiv Bahl (Chair)., Thierry Martens, Charlotte Tawiah-Agyemang, Susan Walker, Helen Weiss (independent statistician).
ETHICS APPROVAL As a non-CTIMP, no regulatory approvals for medicinal products will be required. The study will be reviewed by the ethics committees of the Ministry of Health, Burkina Faso, UCL and LSHTM. LSHTM will be the study sponsor. The trial will be registered with ClinicalTrials.gov prior to initiation.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Betty R Kirkwood, FMedSci
- Phone Number: +447905978676
- Email: betty.kirkwood@LSHTM.ac.uk
Study Contact Backup
- Name: Pasco Fearon, PhD
- Phone Number: +447919264327
- Email: p.fearon@ucl.ac.uk
Study Locations
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Kadiogo
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Ouagadougou, Kadiogo, Burkina Faso, 01 BP 492
- Innovations for Poverty Action
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Contact:
- Achille Tchibozo, MSc
- Phone Number: +26667743046
- Email: atchibozo@poverty-action.org
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Principal Investigator:
- Alexander Manu, PhD
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Live newborns with a birth date at least 3 months following the launch of the SUNRISE radio campaign will be eligible to be enrolled into the trial, together with their mothers.
Exclusion Criteria:
- Children with major infant congenital defects, children not living with their mother, and children with mothers who are not capable of participating in assessments.
For clarification:
- Age limits are for age at recruitment; children will be followed until age 30-32m.
- Early child development is the condition under study; this applies to all the participants. "Accepts Healthy Volunteers" is not meaningful in this trial.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: PREVENTION
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: DOUBLE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
EXPERIMENTAL: SUNRISE clusters
SUNRISE campaign broadcast through local radio stations plus broadcasting as usual
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The SUNRISE radio campaign will be promoting responsive caregiving and providing opportunities for early learning to support child development during the first 3 years of life. The SUNRISE campaign will follow DMI's established intervention approach with:
|
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NO_INTERVENTION: Control clusters
Local radio stations broadcast as usual
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Primary impact outcome: MDAT/GSED Child Development score
Time Frame: Assessed when child is age 30-32 months
|
The Malawi Developmental Assessment Tool (MDAT) is a well validated developmental assessment, that has been designed and adapted to be appropriate in low resource settings and for a wide range of cultures and contexts. It consists of 136 test items, with 34 items covering gross and fine motor development, language and social development. A total score will be computed as an overall index of child development. The tool shows excellent inter-rater reliability and good sensitivity and specificity for identifying children with developmental disability/delays. Note: During the early phases of this trial, we will evaluate the evidence regarding the Global Scales of Early Development - Long Form (GSED-LF), which has more items than the MDAT and is expected to be a more sensitive assessment. Field testing of the GSED is nearly complete at the time of writing. If a decision is taken to use the GSED-LF this will be ratified by the TSC and approved by the REC. |
Assessed when child is age 30-32 months
|
|
Primary intermediate outcome: z-standardised observed sensitive responsiveness score using the National Institute of Child Health and Human Development (NICHD) sensitivity scales.
Time Frame: Assessed when child is age 8-20 months
|
Sensitive responsiveness will be directly observed when the child is age 18-20m.
Mothers will be video recorded carrying out a set of interactive tasks in which the child is introduced to a series of novel toys; this will last about 15 minutes.
The videos will be independently coded, blind to whether the mother is in an intervention or control cluster, using the National Institute of Child Health and Human Development (NICHD) sensitivity scales, which assess "a parent's accuracy in perceiving and interpreting their infant's cues and their ability to react in a timely and appropriate manner".
|
Assessed when child is age 8-20 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Secondary impact outcome: MDAT child development domain scores
Time Frame: Assessed when child is age 30-32 months
|
The 4 MDAT developmental domain scores for gross and fine motor development, language and social development.
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Assessed when child is age 30-32 months
|
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Secondary impact outcome: Five 6-monthly CREDI-LF total scores
Time Frame: Assessed 6-monthly, starting when the child is age 6-8 months until age 30-32 months.
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The long form of the Caregiver Reported Early Development Index (CREDI) is a developmental screening instrument designed specifically for large-scale surveys and evaluations for children aged zero to three years.
It relies only on parental reporting and assesses 5 domains of early developmental milestones and behaviours, namely Motor, Language, Cognitive, Socio-Emotional and Mental Health, tailored to the child's age.
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Assessed 6-monthly, starting when the child is age 6-8 months until age 30-32 months.
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Secondary impact outcome: Five 6-monthly caregiver reported language development scores
Time Frame: Assessed 6-monthly, starting when the child is age 6-8 months until age 30-32 months.
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The Communicative Development Inventories (CDI) is one of the most widely used and well-validated tools for assessing early language development.
The Words and Gestures short form (Level I) will be used for assessments up to including age 18-20m.
This is a parent-reported checklist of early communication and receptive language, comprised of an 89-word vocabulary checklist with separate columns for comprehension and production.
The Words and Sentences short form (Level II) of the CDI will be used at later ages.
These measures contain a 100-word productive vocabulary checklist and a question about combining words.
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Assessed 6-monthly, starting when the child is age 6-8 months until age 30-32 months.
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Secondary intermediate outcome: The HOME-IT inventory (Home Observation for Measurement of the Environment, Infants & Toddler version) score
Time Frame: Assessed when the child is age 18-20 months.
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The HOME-IT inventory (Home Observation for Measurement of the Environment, Infants & Toddler version) provides a comprehensive assessment of the family environment, including the provision and variety of stimulating play materials, the organization of the physical environment, and levels of parental involvement, responsivity and acceptance of the child's behavior.
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Assessed when the child is age 18-20 months.
|
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Secondary intermediate outcome: Five 6-monthly Family Care Indicators (FCI) scores.
Time Frame: Assessed 6-monthly, starting when the child is age 6-8 months until age 30-32 months.
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This will be based on the support for learning/stimulating environment section of the Family Care Indicators (FCI) survey, developed by UNICEF to assess key caregiving/family home environment variables considered critical for early child development.
This has been used very extensively, including in the global MICS surveys.
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Assessed 6-monthly, starting when the child is age 6-8 months until age 30-32 months.
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Tertiary outcome: Two Caregiver ECD Knowledge Scores
Time Frame: Assessed when the child is age 18-20 months and 30-32 months
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ECD knowledge will be assessed using a culturally adapted subset of questions from the Knowledge of Infant Development Inventory (KIDI).
The KIDI measures factual knowledge of parental practices, child development processes and norms of behaviour for children 0-3 years of age.
It is appropriate for use with persons of limited education and is considered to be culturally neutral.
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Assessed when the child is age 18-20 months and 30-32 months
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Betty R Kirkwood, FMedSci, London School of Hygiene and Tropical Medicine
Publications and helpful links
General Publications
- Black MM, Walker SP, Fernald LCH, Andersen CT, DiGirolamo AM, Lu C, McCoy DC, Fink G, Shawar YR, Shiffman J, Devercelli AE, Wodon QT, Vargas-Baron E, Grantham-McGregor S; Lancet Early Childhood Development Series Steering Committee. Early childhood development coming of age: science through the life course. Lancet. 2017 Jan 7;389(10064):77-90. doi: 10.1016/S0140-6736(16)31389-7. Epub 2016 Oct 4.
- Richter LM, Daelmans B, Lombardi J, Heymann J, Boo FL, Behrman JR, Lu C, Lucas JE, Perez-Escamilla R, Dua T, Bhutta ZA, Stenberg K, Gertler P, Darmstadt GL; Paper 3 Working Group and the Lancet Early Childhood Development Series Steering Committee. Investing in the foundation of sustainable development: pathways to scale up for early childhood development. Lancet. 2017 Jan 7;389(10064):103-118. doi: 10.1016/S0140-6736(16)31698-1. Epub 2016 Oct 4.
- McCoy DC, Sudfeld CR, Bellinger DC, Muhihi A, Ashery G, Weary TE, Fawzi W, Fink G. Development and validation of an early childhood development scale for use in low-resourced settings. Popul Health Metr. 2017 Feb 9;15(1):3. doi: 10.1186/s12963-017-0122-8.
- Kariger P, Frongillo EA, Engle P, Britto PM, Sywulka SM, Menon P. Indicators of family care for development for use in multicountry surveys. J Health Popul Nutr. 2012 Dec;30(4):472-86. doi: 10.3329/jhpn.v30i4.13417.
- Gladstone M, Lancaster GA, Umar E, Nyirenda M, Kayira E, van den Broek NR, Smyth RL. The Malawi Developmental Assessment Tool (MDAT): the creation, validation, and reliability of a tool to assess child development in rural African settings. PLoS Med. 2010 May 25;7(5):e1000273. doi: 10.1371/journal.pmed.1000273.
Study record dates
Study Major Dates
Study Start (ANTICIPATED)
Primary Completion (ANTICIPATED)
Study Completion (ANTICIPATED)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- EPPHZS42
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
The project will produce rich longitudinal data from trial recruitment in the first 6 months of life through to the follow-up at age 30-32 months. The data will be curated into a single anonymised STATA. sta file, including newly generated participant ID and cluster codes, variable labels, and defined missing values. All identifiable data or data that may risk de-anonymisation (such as DOBs, personal names or cluster and village names) will be removed. Alongside the main study data file, codebooks and a detailed dataset guide will be produced to support correct and efficient data usage. Derived and computed variables and processing steps will be made available through annotated STATA analysis .do scripts.
Videos and qualitative interview data, where anonymization is either not possible or there is a high risk of individuals being identified, will not be made publicly available. Suitably qualified researchers will be able to access these data under strict collaboration agreements.
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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