Moving from theory to practice
A participatory social network mapping approach to address unmet need for family planning in Benin
Bibliographic Data
| ID | 15541192 |
|---|---|
| Authors | Susan Igras (0000-0001-9836-9479, Institute for Reproductive Health, corresponding author), Mariam Diakité (Georgetown University), Rebecka Lundgren (0000-0002-9607-5722, Institute for Reproductive Health) |
| Year | 2016 |
| Volume | 12 |
| Issue | 7 |
| Pages | 909-926 |
| Publication date | 2016-03-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1744-1692 • E-ISSN: 1744-1706 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17441692.2016.1147589 |
| PMID | 26950541 |
| OpenAlex | W2296278882 |
| Language | EN |
| Citations received | 7 |
| References cited | 22 |
In West Africa, social factors influence whether couples with unmet need for family planning act on birth-spacing desires. Tékponon Jikuagou is testing a social network-based intervention to reduce social barriers by diffusing new ideas. Individuals and groups judged socially influential by their communities provide entrée to networks. A participatory social network mapping methodology was designed to identify these diffusion actors. Analysis of monitoring data, in-depth interviews, and evaluation reports assessed the methodology's acceptability to communities and staff and whether it produced valid, reliable data to identify influential individuals and groups who diffuse new ideas through their networks. Results indicated the methodology's acceptability. Communities were actively and equitably engaged. Staff appreciated its ability to yield timely, actionable information. The mapping methodology also provided valid and reliable information by enabling communities to identify highly connected and influential network actors. Consistent with social network theory, this methodology resulted in the selection of informal groups and individuals in both informal and formal positions. In-depth interview data suggest these actors were diffusing new ideas, further confirming their influence/connectivity. The participatory methodology generated insider knowledge of who has social influence, challenging commonly held assumptions. Collecting and displaying information fostered staff and community learning, laying groundwork for social change
Citizen journalism · Community-based participatory research · Data collection · Insider · Knowledge management · Participatory action research · Political science · Public relations · Social capital · Social learning · Social media · Social network (sociolinguistics · Social network analysis · Social science · Sociology · World Wide Web · Adolescent Sexual and Reproductive Health · Computer Science · Global Maternal and Child Health · ICT in Developing Communities · Psychology
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Understanding girls’ everyday acts of resistance
Mapping the patchwork
Men’s social networks, social norms, & family planning in Benin
Gendered patterning of relationships
Pathways to Modern Family Planning
Measuring Men’s Gender Norm Beliefs Related to Contraception
Choice and Quality in Action Research Practice
Republished research: Implementation research: what it is and how to do it
Implementation Science and Its Application to Population Health
Beyond dyadic interdependence
Blackwell Encyclopedia of Sociology
Social Networks of Drug Users in High-Risk Sites
Understanding Reliability and Validity in Qualitative Research
The density of social networks and fertility decisions
Social networks and changes in contraceptive use over time
The Causes of Unmet Need for Contraception and the Social Content of Services
Unmet Need for Contraception
How Family Planning Ideas Are Spread Within Social Groups in Rural Malawi
Social networks, normative influence and health delivery in rural Bangladesh
Social network associations with contraceptive use among Cameroonian women in voluntary associations
Absent and Problematic Men
The Importance of Different Forms of Social Capital for Health
Social Networks and Health
| Unique citing works | 7 |
|---|---|
| Citations per year | 0,88 |
| Citation span | 2018 - 2022 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 7 |