Impact on child acute malnutrition of integrating a preventive nutrition package into facility-based screening for acute malnutrition during well-baby consultation: A cluster-randomized controlled trial in Burkina Faso

Elodie Becquey, Lieven Huybregts, Amanda Zongrone, Agnes Le Port, Jef L Leroy, Rahul Rawat, Mariama Touré, Marie T Ruel, Elodie Becquey, Lieven Huybregts, Amanda Zongrone, Agnes Le Port, Jef L Leroy, Rahul Rawat, Mariama Touré, Marie T Ruel

Abstract

Background: Community management of acute malnutrition (CMAM) is a highly efficacious approach for treating acute malnutrition (AM) in children who would otherwise be at significantly increased risk of mortality. In program settings, however, CMAM's effectiveness is limited because of low screening coverage of AM, in part because of the lack of perceived benefits for caregivers. In Burkina Faso, monthly screening for AM of children <2 years of age is conducted during well-baby consultations (consultation du nourrisson sain [CNS]) at health centers. We hypothesized that the integration of a preventive package including age-appropriate behavior change communication (BCC) on nutrition, health, and hygiene practices and a monthly supply of small-quantity lipid-based nutrient supplements (SQ-LNSs) to the monthly screening would increase AM screening and treatment coverage and decrease the incidence and prevalence of AM.

Methods and findings: We used a cluster-randomized controlled trial and allocated 16 health centers to the intervention group and 16 to a comparison group. Both groups had access to standard CMAM and CNS services; caregivers in the intervention group also received age-appropriate monthly BCC and SQ-LNS for children >6 months of age. We used two study designs: (1) a repeated cross-sectional study of children 0-17 months old (n = 2,318 and 2,317 at baseline and endline 2 years later) to assess impacts on AM screening coverage, treatment coverage, and prevalence; (2) a longitudinal study of 2,113 children enrolled soon after birth and followed up monthly for 18 months to assess impacts on AM screening coverage, treatment coverage, and incidence. Data were analyzed as intent to treat. Level of significance for primary outcomes was α = 0.016 after adjustment for multiple testing. Children's average age was 8.8 ± 4.9 months in the intervention group and 8.9 ± 5.0 months in the comparison group at baseline and, respectively, 0.66 ± 0.32 and 0.67 ± 0.33 months at enrollment in the longitudinal study. Relative to the comparison group, the intervention group had significantly higher monthly AM screening coverage (cross-sectional study: +18 percentage points [pp], 95% CI 10-26, P < 0.001; longitudinal study: +23 pp, 95% CI 17-29, P < 0.001). There were no impacts on either AM treatment coverage (cross-sectional study: +8.0 pp, 95% CI 0.09-16, P = 0.047; longitudinal study: +7.7 pp, 95% CI -1.2 to 17, P = 0.090), AM incidence (longitudinal study: incidence rate ratio = 0.98, 95% CI 0.75-1.3, P = 0.88), or AM prevalence (cross-sectional study: -0.46 pp, 95% CI -4.4 to 3.5, P = 0.82). A study limitation is the referral of AM cases (for ethical reasons) by study enumerators as part of the monthly measurement in the longitudinal study that may have attenuated the detectable impact on AM treatment coverage.

Conclusions: Adding a preventive package to CMAM delivered at health facilities in Burkina Faso increased participation in monthly AM screening, thus overcoming a major impediment to CMAM effectiveness. The lack of impact on AM treatment coverage and on AM prevalence and incidence calls for research to address the remaining barriers to uptake of preventive and treatment services at the health center and to identify and test complementary approaches to bring integrated preventive and CMAM services closer to the community while ensuring high-quality implementation and service delivery.

Trial registration: ClinicalTrials.gov NCT02245152.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Theory of change of the…
Fig 1. Theory of change of the integration of a preventive package at the well-baby visit.
Hypothesized impacts of the intervention presented in this paper are shown in blue. AM, acute malnutrition; BCC, behavior change communication; IYCF, infant and young child feeding; PROMIS, Innovative Approaches for the Prevention of Childhood Undernutrition; SN-LNS, small-quantity lipid-based nutrition supplement.
Fig 2. Trial profile for repeated cross-sectional…
Fig 2. Trial profile for repeated cross-sectional study and longitudinal study.
AM was defined as WLZ

Fig 3. AM screening coverage by any…

Fig 3. AM screening coverage by any actor (A) and through CNS (B) in the…

Fig 3. AM screening coverage by any actor (A) and through CNS (B) in the longitudinal study by age and by study group.
Monthly screening was defined as MUAC measured (≥6 months old) and/or weight and length measured (all ages) in the past month, as per caregiver recall. The orange solid line represents fitted values for the comparison group. The blue dashed line represents fitted values for the intervention group. Gray areas represent 95% confidence bands of kernel-weighted local polynomial smoothened values by study group using the observed data. Both analyses were based on n = 18,757 child visits in the comparison group and n = 17,867 child visits in the intervention group. Mixed-effects regression models with restricted cubic splines (seven knots automatically generated) were used, with health center catchment area and child as random intercepts and month of inclusion, child sex, age splines, whether the child was a first live birth, and intervention as fixed effects. A chunk Wald test was used to test the “age splines × intervention” interaction terms (P values shown). AM, acute malnutrition; MUAC, mid-upper arm circumference.
Fig 3. AM screening coverage by any…
Fig 3. AM screening coverage by any actor (A) and through CNS (B) in the longitudinal study by age and by study group.
Monthly screening was defined as MUAC measured (≥6 months old) and/or weight and length measured (all ages) in the past month, as per caregiver recall. The orange solid line represents fitted values for the comparison group. The blue dashed line represents fitted values for the intervention group. Gray areas represent 95% confidence bands of kernel-weighted local polynomial smoothened values by study group using the observed data. Both analyses were based on n = 18,757 child visits in the comparison group and n = 17,867 child visits in the intervention group. Mixed-effects regression models with restricted cubic splines (seven knots automatically generated) were used, with health center catchment area and child as random intercepts and month of inclusion, child sex, age splines, whether the child was a first live birth, and intervention as fixed effects. A chunk Wald test was used to test the “age splines × intervention” interaction terms (P values shown). AM, acute malnutrition; MUAC, mid-upper arm circumference.

References

    1. UNICEF, WHO, The World Bank group. Levels and trends in child malnutrition. Joint child malnutrition estimates 2017. edition [Internet]. 2017. Available from: . [cited 2019 March 12].
    1. Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N, Horton S, et al. Evidence-based interventions for improvement of maternal and child nutrition: What can be done and at what cost? Lancet. 2013;382: 452–477. 10.1016/S0140-6736(13)60996-4
    1. World Health Organization, World Food Programme, United Nations System Standing Committee on Nutrition, United Nations Children’s Fund. Community-based management of severe acute malnutrition: A joint Statement by the World Health Organization, the World Food Programme, the United Nations System Standing Committee on Nutrition and the United Nations Children's Fund. Geneva: World Health Organization; 2007.
    1. World Health Organization. Technical note: Supplementary foods for the management of moderate acute malnutrition in infants and children 6–59 months of age. World Health Organization: 2012. 10.1227/00006123-199112000-00028
    1. International Food Policy Research Institute. Global Nutrition Report 2016: From Promise to Impact: Ending Malnutrition by 2030. Washington, DC: 2016.
    1. Rogers E, Myatt M, Woodhead S, Guerrero S, Alvarez JL. Coverage of community-based management of severe acute malnutrition programmes in twenty-one countries, 2012–2013. PLoS ONE. 2015;10: e0128666 10.1371/journal.pone.0128666
    1. Huybregts L, Becquey E, Zongrone A, Le Port A, Khassanova R, Coulibaly L, et al. The impact of integrated prevention and treatment on child malnutrition and health: the PROMIS project, a randomized control trial in Burkina Faso and Mali. BMC Public Health. 2017;17 10.1186/s12889-017-4146-6
    1. Huybregts L, Le Port A, Becquey E, Zongrone A, Barba FM, Rawat R, et al. Impact on child acute malnutrition of integrating small-quantity lipid-based nutrient supplements into community-level screening for acute malnutrition: A cluster randomized controlled trial in Mali. PLoS Med. 2019; 16(8): e1002892 10.1371/journal.pmed.1002892
    1. Direction de la Nutrition. Enquête nutritionnelle nationale 2013. Ouagadougou; 2013.
    1. Burkina Faso Ministère de la Santé. Annuaire statistique. Ouagadougou; 2015.
    1. Burkina Faso Ministère de la Santé. Protocole national: Prise en charge intégrée de la malnutrition aigue (PCIMA). Ouagadougou; 2014.
    1. Guyon A, Quinn V, Nielsen J, Stone-Jimenez M. Essential Nutrition Actions and Essential Hygiene Actions Training Guide: Health Workers and Nutrition Managers. Washington, DC: CORE Group; 2015.
    1. Guyon A, Quinn V, Nielsen J, Stone-Jimenez M. Essential Nutrition Actions and Essential Hygiene Actions Training Guide: Community Workers. Washington, DC: CORE Group; 2015.
    1. Cogill B. Anthropometric indicators measurement guide. Washington, DC: Food and Nutrition Technical Assistance Project, Academy for Educational Development; 2003.
    1. Leroy JL. ZSCORE06: Stata command for the calculation of anthropometric z-scores using the 2006 WHO child growth standards [Internet]. 2011. Available from: . [cited 2019 July 31].
    1. World Health Organization. WHO child growth standards: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: methods and development. Geneva: WHO; 2006.
    1. Vyas S, Kumaranayake L. Constructing socio-economic status indices: How to use principal components analysis. Health Policy Plan. 2006;21: 459–468. 10.1093/heapol/czl029
    1. Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Source J R Stat Soc Ser B. 1995;57: 289–300.
    1. Campbell MK, Piaggio G, Elbourne DR, Altman DG. Consort 2010 statement: extension to cluster randomised trials. Bmj. 2012;345: e5661–e5661. 10.1136/bmj.e5661
    1. Wooldridge JM. Introductory Econometrics: A Modern Approach. 5th ed [Internet]. Manson, OH: Cengage Learning; 2012. Available from:
    1. Nevalainen J, Kenward MG, Virtanen SM. Missing values in longitudinal dietary data: A multiple imputation approach based on a fully conditional specification. Stat Med. 2009;28: 3657–3669. 10.1002/sim.3731
    1. Welch CA, Petersen I, Bartlett JW, White IR, Marston L, Morris RW, et al. Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data. Stat Med. 2014;33: 3725–3737. 10.1002/sim.6184
    1. van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med. 1999;18(6): 681–694. 10.1002/(SICI)1097-0258(19990330)18:6<681::AID-SIM71>;2-R [pii]
    1. Coates J, Swindale a, Bilinsky P. Household Food Insecurity Access Scale (HFIAS) for measurement of food access: indicator guide. Version 3. Washington, DC: Food and Nutrition Technical Assistance; 2007. 10.1007/s13398-014-0173-7.2
    1. FAO and FHI 360. Minimum Dietary Diversity for Women- A Guide to Measurement [Internet]. Rome: FAO; 2016. Available from: . [cited 2018 October 15].
    1. World Health Organization. Indicators for assessing infant and young child feeding practices—part 1 definitions. Geneva: World Health Organization; 2008.
    1. Gopalan SS, Mutasa R, Friedman J, Das A. Health sector demand-side financial incentives in low- and middle-income countries: A systematic review on demand- and supply-side effects. Soc Sci Med. 2014;100: 72–83. 10.1016/j.socscimed.2013.10.030
    1. Lagarde M, Haines A, Palmer N. The impact of conditional cash transfers on health outcomes and use of health services in low and middle income countries. Cochrane Database Syst Rev. 2009; CD008137 10.1002/14651858.CD008137
    1. Nikiema L, Huybregts L, Kolsteren P, Lanou H, Tiendrebeogo S, Bouckaert K, et al. Treating moderate acute malnutrition in first-line health services: an effectiveness cluster-randomized trial in Burkina Faso. Am J Clin Nutr. 2014;100(1): 241–249. 10.3945/ajcn.113.072538
    1. Sanghvi T, Martin L, Hajeebhoy N, Abrha TH, Abebe Y, Haque R, et al. Strengthening Systems to Support Mothers in Infant and Young Child Feeding at Scale. Food Nutr Bull. 2013;34: S156–S168. 10.1177/15648265130343S203
    1. Baker J, Sanghvi T, Hajeebhoy N, Abrha TH. Learning from the Design and Implementation of Large-Scale Programs to Improve Infant and Young Child Feeding. Food Nutr Bull. 2013;34: S226–S230. 10.1177/15648265130343S208
    1. Alvarez Morán JL, Alé GBF, Charle P, Sessions N, Doumbia S, Guerrero S. The effectiveness of treatment for Severe Acute Malnutrition (SAM) delivered by community health workers compared to a traditional facility based model. BMC Health Serv Res. 2018;18: 207 10.1186/s12913-018-2987-z
    1. Das JK, Salam RA, Hadi YB, Sadiq Sheikh S, Bhutta AZ, Weise Prinzo Z, et al. Preventive lipid-based nutrient supplements given with complementary foods to infants and young children 6 to 23 months of age for health, nutrition, and developmental outcomes. Cochrane Database Syst Rev. 2019;5: CD012611 10.1002/14651858.CD012611.pub3
    1. Hess SY, Abbeddou S, Jimenez EY, Somé JW, Vosti SA, Ouédraogo ZP, et al. Small-Quantity Lipid-Based Nutrient Supplements, Regardless of Their Zinc Content, Increase Growth and Reduce the Prevalence of Stunting and Wasting in Young Burkinabe Children: A Cluster-Randomized Trial. PLoS ONE. 2015;10: e0122242 10.1371/journal.pone.0122242
    1. Olney DK, Bliznashka L, Becquey E, Birba O, Ruel MT. Adding a water, sanitation and hygiene intervention and a lipid-based nutrient supplement to an integrated agriculture and nutrition program improved the nutritional status of Young Burkinabé children. FASEB J. 2017;31: 455 Available from:
    1. Burkina Faso Ministère de la Santé. Plan de passage à l’échelle de la promotion des pratiques optimales d’alimentation du nourrisson et du jeune enfant au Burkina Faso (2013–2025). Ouagadougou; 2014.
    1. Global Health Workforce Alliance, World Health Organization. A Universal Truth: No Health Without a Workforce [Internet]. Geneva: World Health Organization; 2014. Available from: . [cited 2019 March 1].
    1. World Health Organization. Health workforce requirements for universal health coverage and the sustainable development goals [Internet]. Geneva: WHO; 2016. Available from: . [cited 2019 March 1].

Source: PubMed

3
Iratkozz fel