Some Interventions to Shift Meta-Norms Are Effective for Changing Behaviors in Low- and Middle-Income Countries: A Rapid Systematic Review

Le résumé fourni par la source

Social-norms approaches are increasingly included in behavior-change programming. Recent reviews categorize a large number of norms-shifting programs but do not synthesize evidence about effectiveness. To inform the design of social and behavior-change programs in low- and middle-income countries in response to time-sensitive demands, this rapid systematic review examines the evidence for the effectiveness of interventions that use norms-based approaches to change behavior. Nine indexes and eight websites were electronically searched for both systematic reviews and primary studies. Abstracts and full texts were screened to include: documents published in 2010 and later; documents evaluating the effectiveness of programs that include norms-based approaches; documents measuring behavioral outcomes; and documents employing quantitative analysis of concurrent treatment and comparison groups. Data collected include participant age cohort, program name and duration, scope of norms, intervention activities, category of behavioral outcome, and statement of findings for the main behavioral outcome(s). Primary studies were appraised based on identification strategy. Search and screening yielded 7 systematic reviews and 29 primary studies covering 28 programs. Across the primary studies, the programs are highly heterogeneous, and the findings are mixed, with some strong positive effects and many marginal or null effects on behavior change. Taken together, the evidence shows that meta-norms-based approaches can be part of effective programs but do not assure that programs will change behaviors. Program designers can draw some general conclusions from this review but can also use it to locate specific studies relevant to their evidence needs.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.