Evidence map›Paper›PMID 28289044›Full record

Trial reportBMJ open2017

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.

Holly B Shakya, Derek Stafford, D Alex Hughes, Thomas Keegan, Rennie Negron, Jai Broome, Mark McKnight, Liza Nicoll, Jennifer Nelson, Emma Iriarte and 4 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02694679 (Randomized Controlled Trial of Social Network Targeting to Magnify Population-Level MNCH Behavior Change in Honduras), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02694679 nacompletednot on this map

Randomized Controlled Trial of Social Network Targeting to Magnify Population-Level MNCH Behavior Change in Honduras

TypeinterventionalSponsorYale UniversityRan2015 to 2020Enrolled31,195ConditionsPreterm Delivery, Hypothermia, Diarrhea, Upper Respiratory InfectionArmsCBNH
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. The structure and function of antagonistic ties in village social networks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. The enmity paradox.Scientific reports · 2023
    Article
  11. Article
  12. Estimating the total treatment effect in randomized experiments with unknown network structure.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Article
  15. UsingSocial networks · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Network multipliers and public health.International journal of epidemiology · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Holly B ShakyaDivision of Global Public Health, School of Medicine, Center on Gender Equity and Health, University of California San Diego, San Diego, California, USA.
Derek StaffordCEO, EmpleApp.
D Alex HughesDepartment of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA.
Thomas KeeganSchool of Information, University of California Berkeley, Berkeley, California, USA.
Rennie NegronDepartment of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA.
Jai BroomeDepartment of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA.
Mark McKnightDepartment of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA.
Liza NicollDepartment of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA.
Jennifer NelsonSalud Mesoamerica Initiative, Inter-American Development, Washington, District of Columbia, USA.
Emma IriarteSalud Mesoamerica Initiative, Inter-American Development, Washington, District of Columbia, USA.
Maria OrdonezSalud Mesoamerica Initiative, Tegucigalpa, Honduras.
Edo AiroldiDepartment of Statistics, Harvard University, Cambridge, Massachusetts, USA.
James H FowlerDivision of Global Public Health, School of Medicine, University of California San Diego, San Diego, California, USA.
Nicholas A ChristakisDepartment of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA.

Funding

Quant. methods for systems-level analyses of regulation & signaling dynamicsR01GM096193 · NIGMS · HARVARD UNIVERSITY · PI AIROLDI, EDOARDO MARIA · 2010 to 2014
$1.1M
NIGMS NIH HHS R01 GM096193
6 · The paper itself

Abstract

introductionDespite 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. METHODS AND ANALYSIS: 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. ETHICS AND DISSEMINATION: 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. TRIAL REGISTRATION NUMBER: NCT02694679; Pre-results.

Indexed as

Child HealthHealth BehaviorMaternal HealthResidence CharacteristicsRural PopulationAdultAlgorithmsCounselingDeveloping CountriesFamilyFamily CharacteristicsFemaleHealth EducationHealth Knowledge, Attitudes, PracticeHealth PromotionHondurasSOCIAL MEDICINE

Identifiers

PMID28289044
PMCPMC5353315

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.