Randomized Controlled Trial of Social Network Targeting in Honduras

August 4, 2023 updated by: Yale University

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

Social network targeting strategies can be used to improve the delivery and uptake of health interventions. We will enroll approximately 30,000 individuals into a randomized controlled trial of different targeting algorithms in order to explore how social network dynamics affect the uptake, diffusion, and group-level normative reinforcement of key neonatal and infant health behaviors and attitudes in 176 rural villages in the Copan region of Honduras. Our goal is to develop methods by which global health practitioners can exploit face-to-face social network interactions in order to maximize uptake of neonatal and infant health interventions. The villages will be randomly assigned to 16 cells of 11 villages each in a 2 x 8 factorial design of different targeting algorithms.

Study Overview

Detailed Description

Honduras has one of the highest neonatal mortality rates in Latin America despite having made significant strides in reducing neonatal, infant, and child mortality in the last several decades. Although many neonatal and infant deaths can be prevented through provision of clinical care services, emerging evidence also suggests that a substantial reduction in neonatal and infant mortality can also be achieved with simple, low-cost interventions within family and community settings. This is particularly important in areas where functional community health facilities are not available. Family and community outreach programs can serve to educate families about beneficial home care practices.

In order to accelerate neonatal mortality reduction , there is an urgent need to develop innovative solutions that are not only effective, but also more easily implementable and more readily scalable. An important component of this challenge, which has hitherto not been effectively measured and understood with respect to neonatal mortality, is the "embeddedness" of individuals within social networks. Hence, through a large-scale randomized controlled trial (RCT) in rural Honduras, we will deploy and assess social network targeting algorithms in order to maximize diffusion and adoption of the "Changing behaviors to improve neonatal, child, and maternal health using communication and social networks at the community level intervention (CBNH)". The CBNH intervention is a household-level intervention package that targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management implemented by the Inter-American Development Bank (IADB) and their partners.

This RCT is aimed at discerning optimal methods for targeting delivery of the intervention to the population. Specifically we will (1) test what percentage of a community needs to be in a program to achieve social norms change around key neonatal care behaviors, and (2) test whether so-called nominated-friend-targeting, a method that targets individuals who are more highly connected in the network, is more effective than a control strategy. Our 2x8 factorial design will examine how large a subset of the population should be used as a "seed" group in order to maximize the chances of spread of the effect, and the efficiency with which such an intervention might be delivered in the future. To do this, we will assign each of the 176 study villages to either one of the two groups: 1)random assignment (active comparator), where "seed" individuals are chose at random or 2) friend-of-random assignment (experimental), where "seed" individuals are chosen on the basis of being named as a friend of a randomly selected individual. Each of the groups of villages will also be assigned to one of eight treatment percentages (0%, 5%, 10%, 20%, 30% 50%, 75%, 100%), where each represents the percent of targeted households in that village to receive the CBNH health intervention.

Study Type

Interventional

Enrollment (Actual)

31195

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Copan
      • Copan Ruinas, Copan, Honduras
        • Community intervention
    • Connecticut
      • New Haven, Connecticut, United States, 06520
        • Yale Institute for Network Science

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

12 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria: People who live or work in target villages, ages 12 and up -

Exclusion Criteria: People who do not live or work in the sample villages, and those who are prisoners, mentally impaired, or under age 12 years.

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Factorial Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Random 0
The CBNH intervention will be delivered to 0% of population targeted households in the village.
Active Comparator: Random 5
The CBNH intervention will be delivered to a random 5% of targeted households in the village.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Active Comparator: Random 10
The CBNH intervention will be delivered to a random 10% of targeted households in the village.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Active Comparator: Random 20
The CBNH intervention will be delivered to a random 20% of targeted households in the village.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Active Comparator: Random 30
The CBNH intervention will be delivered to a random 30% of targeted households in the village.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Active Comparator: Random 50
The CBNH intervention will be delivered to a random 50% of targeted households in the village.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Active Comparator: Random 75
The CBNH intervention will be delivered to a random 75% of targeted households in the village.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Active Comparator: Random 100
The CBNH intervention will be delivered to a random 100% of targeted households in the village.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
No Intervention: Friendship 0
CBNH 0% of population targeted
Experimental: Friendship 5
The CBNH intervention will be delivered to 5% of households identified through friendship nomination.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Experimental: Friendship 10
The CBNH intervention will be delivered to 10% of households identified through friendship nomination.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Experimental: Friendship 20
The CBNH intervention will be delivered to 20% of households identified through friendship nomination.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Experimental: Friendship 30
The CBNH intervention will be delivered to 30% of households identified through friendship nomination.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Experimental: Friendship 50
The CBNH intervention will be delivered to 50% of households identified through friendship nomination.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Experimental: Friendship 75
The CBNH intervention will be delivered to 75% of households identified through friendship nomination.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.
Experimental: Friendship 100
The CBNH intervention will be delivered to 100% of households identified through friendship nomination.
The household-level intervention package targets health behaviors surrounding neonatal and maternal health, and diarrhea and respiratory illness prevention and management.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Speed of adoption of intervention and fraction of adoption of CBNH intervention (participant survey).
Time Frame: 24 Months
24 Months
Percent of participants reporting paternal involvement during pregnancy and postpartum care (participant survey).
Time Frame: 24 Months
24 Months
Percent of newborns with appropriate umbilical cord care (participant survey)
Time Frame: 24 Months
24 Months
Percent of children under 5 with diarrheal illness in the last 4 weeks (participant survey)
Time Frame: 24 Months
24 Months
Percent of children under age 5 with symptoms of acute respiratory illness in the last 4 weeks (participant survey).
Time Frame: 24 months
24 months
Percent of women experiencing a pregnancy danger sign who sought professional medical care (participant survey).
Time Frame: 24 months
24 months
Percent of children experiencing a newborn danger sign who were taken to professional medical care (participant survey)
Time Frame: 24 months
24 months
Percent of children who were breastfed exclusively during first 6 months (participant survey)
Time Frame: 24 Months
24 Months
Percentage of deliveries taking place in medical facilities (participant survey, medical records).
Time Frame: 24 months
24 months
Receipt of post-natal care medical check-up within 7 days of delivery - Mother (participant survey, medical records).
Time Frame: 24 months
24 months
Receipt of post-natal care medical check-up within 7 days of delivery - Newborn (participant survey, medical records).
Time Frame: 24 months
24 months
Percent of newborns receiving appropriate thermal care during first 7 days after birth (participant survey).
Time Frame: 24 months
24 months

Secondary Outcome Measures

Outcome Measure
Time Frame
Knowledge/attitudes about thermal care in newborns (Participant survey)
Time Frame: 24 months
24 months
Knowledge/attitudes about paternal involvement (Participant survey)
Time Frame: 24 months
24 months
Knowledge/attitudes about proper cord care (Participant survey)
Time Frame: 24 months
24 months
Knowledge/attitudes about prevention and/or treatment of diarrhea (Participant survey)
Time Frame: 24 months
24 months
Knowledge/attitudes about prevention and/or treatment of respiratory illness (Participant survey)
Time Frame: 24 months
24 months
Knowledge about danger signs during pregnancy (Participant survey).
Time Frame: 24 months
24 months
Knowledge about danger signs for newborns (Participant survey).
Time Frame: 24 months
24 months
Knowledge/attitudes about facility-based births (Participant survey).
Time Frame: 24 months
24 months
Knowledge/attitudes about post-natal care for women (Participant survey).
Time Frame: 24 months
24 months
Knowledge/attitudes about post-natal care for newborns (Participant survey).
Time Frame: 24 months
24 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Nicholas Christakis, MD, PhD, Yale University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2015

Primary Completion (Actual)

January 1, 2020

Study Completion (Actual)

January 1, 2020

Study Registration Dates

First Submitted

February 24, 2016

First Submitted That Met QC Criteria

February 24, 2016

First Posted (Estimated)

February 29, 2016

Study Record Updates

Last Update Posted (Actual)

August 8, 2023

Last Update Submitted That Met QC Criteria

August 4, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

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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