Adapting the Social Norms Exploration Tool in the Democratic Republic of the Congo to Identify Social Norms for Behavior Change

In the Democratic Republic of the Congo (DRC), male engagement, social norms, and social networks mitigate family planning behavior. We discuss the adaptation of the Social Norms Exploration Tool (SNET), which identifies relevant social norms and community members upholding these norms, to inform the development of family planning interventions in the DRC. The SNET provides activity tools and templates to guide users through the following steps: (1) plan and prepare, (2) identify reference groups, (3) explore social norms, (4) analyze results, and (5) apply findings.The SNET approach resulted in discussion of social norms, particularly around birth spacing and gender norms framing the man as the decision-maker. However, despite applying a methodology specifically designed to identify social norms, other factors limiting use of contraceptive methods were identified in the process, including lack of education, rumors, and misconceptions. Adaptations were needed to include the full range of reference groups due to narrow phrasing of primary questions, and some of the participatory methods were overly complicated. Feedback from experienced data collectors suggested that the social norms framework is not intuitive, is difficult to apply correctly, and may require that data collectors have a stronger foundation in the relevant concepts to produce valid and actionable results.Although the SNET provides language for discussing normative factors and techniques to identify reference groups and social norms, modifications to the implementation process are recommended when adapting the tool for research.

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Publication Details

Journal
Global Health Science and Practice
Published
2024-10-22
DOI
https://doi.org/10.9745/ghsp-d-24-00058
Citations
2
Primary Topic
Sex and Gender in Healthcare
Type
article
Field-Weighted Citation Impact
1.09

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article

Adapting the Social Norms Exploration Tool in the Democratic Republic of the Congo to Identify Social Norms for Behavior Change

Peter J. Winch, Dominick Shattuck, Florence Mpata, Kathryn Sugg et al.
2 citations
Global Health Science and Practice
Sex and Gender in Healthcare
1.09
article

Adapting the Social Norms Exploration Tool in the Democratic Republic of the Congo to Identify Social Norms for Behavior Change

Peter J. Winch, Dominick Shattuck, Florence Mpata, Kathryn Sugg, Dédé Aliango Marachto, Radha Rajan
article en
2 citations

Abstract

In the Democratic Republic of the Congo (DRC), male engagement, social norms, and social networks mitigate family planning behavior. We discuss the adaptation of the Social Norms Exploration Tool (SNET), which identifies relevant social norms and community members upholding these norms, to inform the development of family planning interventions in the DRC. The SNET provides activity tools and templates to guide users through the following steps: (1) plan and prepare, (2) identify reference groups, (3) explore social norms, (4) analyze results, and (5) apply findings.The SNET approach resulted in discussion of social norms, particularly around birth spacing and gender norms framing the man as the decision-maker. However, despite applying a methodology specifically designed to identify social norms, other factors limiting use of contraceptive methods were identified in the process, including lack of education, rumors, and misconceptions. Adaptations were needed to include the full range of reference groups due to narrow phrasing of primary questions, and some of the participatory methods were overly complicated. Feedback from experienced data collectors suggested that the social norms framework is not intuitive, is difficult to apply correctly, and may require that data collectors have a stronger foundation in the relevant concepts to produce valid and actionable results.Although the SNET provides language for discussing normative factors and techniques to identify reference groups and social norms, modifications to the implementation process are recommended when adapting the tool for research.

Global Health Science and PracticeVol. 12(5)
Johns Hopkins University (US), Université Protestante au Congo (CD), Johns Hopkins Center for Health Security (US)
United States Agency for International Development
Reduced inequalities
Openalex Percentile: Top 20%
Sex and Gender in Healthcare
1.09
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