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Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras.

ABSTRACT: Despite global progress on many measures of child health, rates of neonatal mortality remain high in the developing world. Evidence suggests that substantial improvements can be achieved with simple, low-cost interventions within family and community settings, particularly those designed to change knowledge and behaviour at the community level. Using social network analysis to identify structurally influential community members and then targeting them for intervention shows promise for the implementation of sustainable community-wide behaviour change.We will use a detailed understanding of social network structure and function to identify novel ways of targeting influential individuals to foster cascades of behavioural change at a population level. Our work will involve experimental and observational analyses. We will map face-to-face social networks of 30?000 people in 176 villages in Western Honduras, and then conduct a randomised controlled trial of a friendship-based network-targeting algorithm with a set of well-established care interventions. We will also test whether the proportion of the population targeted affects the degree to which the intervention spreads throughout the network. We will test scalable methods of network targeting that would not, in the future, require the actual mapping of social networks but would still offer the prospect of rapidly identifying influential targets for public health interventions.The Yale IRB and the Honduran Ministry of Health approved all data collection procedures (Protocol number 1506016012) and all participants will provide informed consent before enrolment. We will publish our findings in peer-reviewed journals as well as engage non-governmental organisations and other actors through venues for exchanging practical methods for behavioural health interventions, such as global health conferences. We will also develop a 'toolkit' for practitioners to use in network-based intervention efforts, including public release of our network mapping software.NCT02694679; Pre-results.

SUBMITTER: Shakya HB

PROVIDER: S-EPMC5353315 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras.

Shakya Holly B HB Stafford Derek D Hughes D Alex DA Keegan Thomas T Negron Rennie R Broome Jai J McKnight Mark M Nicoll Liza L Nelson Jennifer J Iriarte Emma E Ordonez Maria M Airoldi Edo E Fowler James H JH Christakis Nicholas A NA

BMJ open 20170313 3

<h4>Introduction</h4>Despite global progress on many measures of child health, rates of neonatal mortality remain high in the developing world. Evidence suggests that substantial improvements can be achieved with simple, low-cost interventions within family and community settings, particularly those designed to change knowledge and behaviour at the community level. Using social network analysis to identify structurally influential community members and then targeting them for intervention shows ...[more]

PMID: 28289044

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Project description:BACKGROUND:Gut microbiota composition is associated with child health, but the effect of the environment on microbiota composition is not well understood. Few studies have been conducted in low-income settings where childhood malnutrition is common and possibly related to microbiota composition. OBJECTIVES:To investigate whether gut microbiota composition in young children and their mothers is associated with different environmental exposures in rural Malawi. We hypothesized that more adverse environmental exposures would be associated with lower levels of microbiota maturity and diversity. METHODS:Faecal samples from up to 631 children and mothers participating in a nutrition intervention trial were collected at 1, 6, 12, 18, and 30 months (children) and at 1 month (mothers) after birth and analysed for microbiota composition with 16S rRNA sequencing. Bacterial OTU and genus abundances, measures of microbiota maturity and diversity, and UniFrac distances were compared between participants with different environmental exposures. The exposure variables included socio-economic status, water source, sanitary facility, domestic animals, maternal characteristics, season, antibiotic use, and delivery mode. RESULTS:Measures of microbiota maturity and diversity in children were inversely associated with maternal education at 6, 18, and 30 months and did not otherwise differ consistently between participants with different environmental exposures. Phylogenetic distance was related to season of stool sample collection at all time points. At the level of individual OTUs and genera, season of stool sample collection, type of water source, and maternal education showed most associations with child gut microbiota, while HIV status was the most important predictor of relative OTU and genus abundances in mothers. CONCLUSION:The results do not support the hypothesis that adverse environmental exposures are broadly associated with lower microbiota maturity and diversity but suggest that environmental exposures influence the abundance of several bacterial OTUs and genera and that low maternal education is associated with higher microbiota maturity and diversity.

Project description:BackgroundEffective and scalable behaviour change interventions to increase use of existing toilets in low income settings are under debate. We tested the effect of a novel intervention, the '5 Star Toilet' campaign, on toilet use among households owning a toilet in a rural setting in the Indian state of Gujarat.MethodsThe intervention included innovative and digitally enabled campaign components delivered over 2 days, promoting the upgrading of existing toilets to achieve use by all household members. The intervention was tested in a cluster randomised trial in 94 villages (47 intervention and 47 control). The primary outcome was the proportion of households with use of toilets by all household members, measured through self- or proxy-reported toilet use. We applied a separate questionnaire tool that masked open defecation questions as a physical activity study, and excluded households surveyed at baseline from the post-intervention survey. We calculated prevalence differences using linear regression with generalised estimating equations.ResultsThe primary study outcome was assessed in 2483 households (1275 intervention and 1208 control). Exposure to the intervention was low. Post-intervention, toilet use was 83.8% in the control and 90.0% in the intervention arm (unadjusted difference + 6.3%, 95%CI 1.1, 11.4, adjusted difference + 5.0%, 95%CI -0.1, 10.1. The physical activity questionnaire was done in 4736 individuals (2483 intervention and 2253 control), and found no evidence for an effect (toilet use 80.7% vs 82.2%, difference + 1.7%, 95%CI -3.2, 6.7). In the intervention arm, toilet use measured with the main questionnaire was higher in those exposed to the campaign compared to the unexposed (+ 7.0%, 95%CI 2.2%, 11.7%), while there was no difference when measured with the physical activity questionnaire (+ 0.9%, 95%CI -3.7%, 5.5%). Process evaluation suggested that insufficient campaign intensity may have contributed to the low impact of the intervention.ConclusionThe study highlights the challenge in achieving high intervention intensity in settings where the proportion of the total population that are potential beneficiaries is small. Responder bias may be minimised by masking open defecation questions as a physical activity study. Over-reporting of toilet use may be further reduced by avoiding repeated surveys in the same households.Trial registrationThe trial was registered on the RIDIE registry ( RIDIE-STUDY-ID-5b8568ac80c30 , 27-8-2018) and retrospectively on clinicaltrials.gov ( NCT04526171 , 30-8-2020).

Project description:BackgroundYoung children require high-quality care for healthy growth and development. We defined "maternal capabilities" as factors that influence mothers' caregiving ability (physical and mental health, social support, time, decision-making autonomy, gender norm attitudes, and mothering self-efficacy), and developed survey tools to assess them.ObjectivesWe hypothesized that mothers with stronger capabilities during pregnancy would be more likely to practice improved care behaviors after their child was born.MethodsWe assessed maternal capabilities among 4667 pregnant women newly enrolled in the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial. Several improved child-care practices were promoted until 18 mo postpartum, the trial endpoint. Care practices were assessed by survey, direct observation, or transcription from health records during postpartum research visits. We used logistic regression to determine the predictive association between maternal capabilities during pregnancy and child-care practices.ResultsMothers with more egalitarian gender norm attitudes were more likely to have an institutional delivery [adjusted OR (AOR), 2.06; 95% CI, 1.57-2.69], initiate breastfeeding within 1 h of delivery (AOR, 1.38; 95% CI, 1.03-1.84), exclusively breastfeed (EBF) from birth to 3 mo (AOR, 2.55; 95% CI, 1.95-3.35) and 3-6 mo (AOR, 1.75; 95% CI, 1.36-2.25), and, among households randomized to receive extra modules on sanitation and hygiene, have soap and water at a handwashing station (AOR, 1.76; 95% CI, 1.29-2.39). Mothers experiencing time stress were less likely to EBF from birth to 3 mo (AOR, 0.79; 95% CI, 0.66-0.93). Greater social support was associated with institutional delivery (AOR, 1.53; 95% CI, 1.37-1.98) and, among mothers randomized to receive extra complementary feeding modules, feeding children a minimally diverse diet (AOR, 1.18; 95% CI, 1.01-1.37). Depressed mothers were 37% and 33%, respectively, less likely to have an institutional delivery (AOR, 0.63; 95% CI, 0.44-0.88) and a fully immunized child (AOR, 0.67; 95% CI, 0.50-0.90).ConclusionsInterventions to reduce maternal depression, time stress, inadequate social support, and inequitable gender norms may improve maternal child caregiving.

Project description:BackgroundOver the past decade, the prevalence of stunting has been close to 37% in children aged <5 years in Indonesia. The Baduta program, a multicomponent package of interventions developed by the Global Alliance for Improved Nutrition, aims to improve maternal and infant nutrition in Indonesia.ObjectiveThis study aims to assess the impact of the Baduta program, a package of health system strengthening and behavior change interventions, compared with the standard village health services on maternal and child nutrition.MethodsThe impact evaluation uses a cluster randomized controlled trial design with 2 outcome assessments. The first uses cross-sectional surveys of mothers of children aged 0-23 months and pregnant women before and after the interventions. The second is a cohort study of pregnant women followed until their child is 18 months from a subset of clusters. We will also conduct a process evaluation guided by the program impact pathway to assess coverage, fidelity, and acceptance. The study will be conducted in the Malang and Sidoarjo districts of East Java, Indonesia. The unit of randomization is the subdistricts. As random allocation of interventions to only 6 subdistricts is feasible, we will use constrained randomization to ensure balance of baseline covariates. The first intervention will be health system strengthening, including the Baby-Friendly Hospital Initiative, and training on counseling for appropriate infant and young child feeding (IYCF). The second intervention will be nutrition behavior change that includes Emo-Demos; a national television (TV) advertising campaign; local screening TV spots; a free, text message service; and promotion of low-cost water filters and hygiene practices. The primary study outcome is child stunting (low length-for-age), and secondary outcomes include length-for-age Z scores, wasting (low weight-for-length), anemia, child morbidity, IYCF indicators, and maternal and child nutrient intakes. The sample size for each cross-sectional survey is 1400 mothers and their children aged <2 years and 200 pregnant women in each treatment group. The cohort evaluation requires a sample size of 340 mother-infant pairs in each treatment group. We will seek Gatekeeper consent and written informed consent from the participants. The intention-to-treat principle will guide our data analysis, and we will apply Consolidated Standards of Reporting Trials guidelines for clustered randomized trials in the analysis.ResultsIn February 2015, we conducted a baseline cross-sectional survey on 2435 women with children aged <2 years and 409 pregnant women. In February 2017, we conducted an end-line survey on 2740 mothers with children aged <2 years and 642 pregnant women. The cohort evaluation began in February 2015, with 729 pregnant women, and was completed in December 2016.ConclusionsThe results of the program evaluation will help guide policies to support effective packages of behavior change interventions to prevent child stunting in Indonesia.International registered report identifier (irrid)RR1-10.2196/18521.

Dataset Information

Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras.

Publications

Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras.

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