Integrating early stimulation and play at scale: study protocol for "MAHAY Mikolo", a multi-arm cluster-randomized controlled trial

Emanuela Galasso, Lisy Ratsifandrihamanana, Ann M Weber, Caitlin Hemlock, Mathilde Col, Maria Dieci, Norotiana Rakotomalala, Valerie Rambeloson, Lia C H Fernald, Emanuela Galasso, Lisy Ratsifandrihamanana, Ann M Weber, Caitlin Hemlock, Mathilde Col, Maria Dieci, Norotiana Rakotomalala, Valerie Rambeloson, Lia C H Fernald

Abstract

Background: Hundreds of millions of children living in poverty worldwide are not reaching their full, developmental potential. Programs to promote nurturing and responsive caregiving, such as those in which community health workers (CHWs) conduct home visits to support optimal early childhood development (ECD), have been effective in small trials, but have not achieved similar success at scale. This study will explore two approaches to scale-up: converting a home-visiting model to a group-based model; and integrating the ECD curriculum into an existing government program. The objectives of the study are to: 1) Measure how the integration of ECD activities affects time and task allocation of CHWs and CHW psychosocial wellbeing; 2) Examine how the integration of ECD activities affects caregiver-child dyad participation in standard health and nutrition activities; and 3) Explore how the availability of age-appropriate play materials at home affects caregiver-child dyad participation rates in a group-based ECD program.

Methods: We will randomize 75 communities in rural Madagascar into three arms: 1) [C], which is the status quo (community-based health and nutrition program); 2) [T], which is C + ECD group sessions [T]; and 3) [T +], which is T with the addition of an enhanced play materials package for home use. All children between 6-30 months old at the time of the intervention launch will be eligible to participate in group activities. The intervention will last 12 months and is comprised of fortnightly group sessions in which the CHWs provide caregiver-child dyads with information relating to ECD; CHWs will also include structured time for caregivers to practice the play and child stimulation activities they have learned. We will administer monthly surveys to measure CHW time use and task allocation, and we will leverage administrative data to measure caregiver-child dyad participation in the group sessions.

Discussion: The results from the trial will provide the evidence base required to implement an integrated package of nutrition, health and ECD promotion activities at scale in Madagascar, and findings may be relevant in other low-income countries.

Trial registration: This trial is registered on the AEA Social Science Registry (AEARCTR-0004704) on November 15, 2019 and on ClinicalTrials.gov (NCT05129696) on November 22, 2021.

Keywords: Early Childhood Development; Early Stimulation; Implementation Science; Play Materials; Program Take-up; Time-use.

Conflict of interest statement

None

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Map of districts in Madagascar. Note: Study will take place in the regions of Haute Matsiatra and Amoron i’Mania, excluding the districts of Ikalamavony and Ambatofinandrahana. The map was created by the authors using R (source of geodata shapefiles, administrative level 4: United Nations Office for the Coordination of Humanitarian Affairs (OCHA)).
Fig. 2
Fig. 2
Flow of study implementation

References

    1. Gertler P, Heckman J, Pinto R, Zanolini A, Vermeerch C, Walker S, et al. Labor Market Returns to an Early Childhood Stimulation Intervention in Jamaica. Science. 2014;344(6187):998–1001. doi: 10.1126/science.1251178.
    1. Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B. Developmental potential in the first 5 years for children in developing countries. The Lancet. 2007;369(9555):60–70. doi: 10.1016/S0140-6736(07)60032-4.
    1. Victora CG, Adair L, Fall C, Hallal PC, Martorell R, Richter L, et al. Maternal and child undernutrition: consequences for adult health and human capital. The Lancet. 2008;371(9609):340–57. doi: 10.1016/S0140-6736(07)61692-4.
    1. Fernald LCH, Kagawa RMC, Knauer HA, Schnaas L, Guerra AG, Neufeld LM. Promoting child development through group-based parent support within a cash transfer program: Experimental effects on children’s outcomes. Developmental Psychology. 2017;53(2):222–36. doi: 10.1037/dev0000185.
    1. Britto PR, Lye SJ, Proulx K, Yousafzai AK, Matthews SG, Vaivada T, et al. Nurturing care: promoting early childhood development. The Lancet. 2017;389(10064):91–102. doi: 10.1016/S0140-6736(16)31390-3.
    1. Galasso E, Weber AM, Stewart CP, Ratsifandrihamanana L, Fernald LCH. Effects of nutritional supplementation and home visiting on growth and development in young children in Madagascar: a cluster-randomised controlled trial. The Lancet Global Health. 2019;7(9):e1257–68. doi: 10.1016/S2214-109X(19)30317-1.
    1. Aboud FE, Prado EL. Measuring the implementation of early childhood development programs. Annals of the New York Academy of Sciences. 2018;1419(1):249–63. doi: 10.1111/nyas.13642.
    1. McEwan PJ. Cost-effectiveness analysis of education and health interventions in developing countries. Journal of Development Effectiveness. 2012;4(2):189–213. doi: 10.1080/19439342.2011.649044.
    1. Pallas SW, Minhas D, Pérez-Escamilla R, Taylor L, Curry L, Bradley EH. Community Health Workers in Low- and Middle-Income Countries: What Do We Know About Scaling Up and Sustainability? Am J Public Health. 2013;103(7):e74–82. doi: 10.2105/AJPH.2012.301102.
    1. Kahssay HM, Taylor ME, Berman P, Organization WH. Community health workers: the way forward. Geneva: World Health Organization; 1998.
    1. Berry J, Mehta S, Mukherjee P, Ruebeck H, Shastry GK. Inputs, monitoring, and crowd out in India’s school-based health interventions. London: International Growth Centre; S-89206-INC-2; 2018.
    1. Jain A, Walker DM, Avula R, Diamond-Smith N, Gopalakrishnan L, Menon P, et al. Anganwadi worker time use in Madhya Pradesh, India: a cross-sectional study. BMC Health Serv Res. 2020;20(1):1130. doi: 10.1186/s12913-020-05857-4.
    1. Chaturvedi S, Ramji S, Arora NK, Rewal S, Dasgupta R, Deshmukh V. Time-constrained mother and expanding market: emerging model of under-nutrition in India. BMC Public Health. 2016;25:16.
    1. Gragnolati M, Shekar M, Das Gupta M, Bredenkamp C, Lee Y-K. India’s Undernourished Children: A Call for Reform and Action. Washington, DC: The World Bank; 2005. (HNP Discussion Paper).
    1. Kapil U. Integrated child development services (ICDS) scheme : A program for holistic development of children in India. Indian J Pediatr. 2002;69(7):597–601. doi: 10.1007/BF02722688.
    1. Frimpong JA, Helleringer S, Awoonor-Williams JK, Yeji F, Phillips JF. Does supervision improve health worker productivity? Evidence from the Upper East Region of Ghana. Tropical Medicine & International Health. 2011;16(10):1225–33. doi: 10.1111/j.1365-3156.2011.02824.x.
    1. Manzi F, Schellenberg JA, Hutton G, Wyss K, Mbuya C, Shirima K, et al. Human resources for health care delivery in Tanzania: a multifaceted problem. Hum Resour Health. 2012;22(10):3. doi: 10.1186/1478-4491-10-3.
    1. Bhattacharyya K, Winch P, LeBan K, Tien M. Community Health Worker Incentives and Disincentives: How They Affect Motivation, Retention, and Sustainability. Arlington, Virginia: Basic Support for Institutionalizing Child Survival Project (BASICS II) for the United States Agency for International Development; 2001 Oct.
    1. Bhutta ZA, Lassi ZS, Pariyo G, Huicho L. Global Experience of Community Health Workers for Delivery of Health Related Millennium Development Goals: A Systematic Review, Country Case Studies, and Recommendations for Integration into National Health Systems. Geneva: World Health Organization; 2010.
    1. Jeong J, Franchett EE, de Oliveira CVR, Rehmani K, Yousafzai AK. Parenting interventions to promote early child development in the first three years of life: A global systematic review and meta-analysis. PLOS Medicine. 2021;18(5):e1003602. doi: 10.1371/journal.pmed.1003602.
    1. Glanz K, Rimer BK, Viswanath K. Health Behavior and Health Education: Theory, Research, and Practice. 4. Ukraine: John Wiley & Sons; 2008. p. 968.
    1. Fink G, Levenson R, Tembo S, Rockers PC. Home- and community-based growth monitoring to reduce early life growth faltering: an open-label, cluster-randomized controlled trial. Am J Clin Nutr. 2017;106(4):1070–7. doi: 10.3945/ajcn.117.157545.
    1. Cole JC, Rabin AS, Smith TL, Kaufman AS. Development and Validation of a Rasch-Derived CES-D Short Form. Psychological Assessment. 2004;16(4):360–72. doi: 10.1037/1040-3590.16.4.360.
    1. Ashraf N, Bandiera O, Davenport E, Lee SS. Losing Prosociality in the Quest for Talent? Sorting, Selection, and Productivity in the Delivery of Public Services. American Economic Review. 2020;110(5):1355–94. doi: 10.1257/aer.20180326.
    1. Rosenberg M. Conceiving the Self. New York: Basic Books; 1979.
    1. Cohen S, Kamarck T, Mermelstein R. Perceived Stress Scale. Measuring stress: a guide for health and social scientists. 1994;10:1–2.
    1. Fernald LCH, Galasso E, Qamruddin J, Ranaivoson C, Ratsifandrihamanana L, Stewart CP, et al. A cluster-randomized, controlled trial of nutritional supplementation and promotion of responsive parenting in Madagascar: the MAHAY study design and rationale. BMC Public Health. 2016;3:16.
    1. Athey S, Imbens GW. Chapter 3 - The Econometrics of Randomized Experiments. In: Banerjee AV, Duflo E, editors. Handbook of Economic Field Experiments. North-Holland: Elsevier; 2017. vol. 1. p. 73–140.
    1. Campos F, Frese M, Goldstein M, Iacovone L, Johnson HC, McKenzie D, et al. Teaching personal initiative beats traditional training in boosting small business in West Africa. Science. 2017;357(6357):1287–90. doi: 10.1126/science.aan5329.
    1. Chernozhukov V, Demirer M, Duflo E, Fernández-Val I. Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India [Internet]. Cambridge, MA: National Bureau of Economic Research; 2018 Jun. (Working Paper Series). Report No.: 24678. Available from:
    1. Buuren S van, Groothuis-Oudshoorn K. MICE: Multivariate Imputation by Chained Equations in R. Vol. in press, Journal of statistical software. University of California, Los Angeles; 2010. p. 1–68.

Source: PubMed

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