Identifying nudge strategies for behavior-based prevention and control of neglected tropical diseases: a scoping...

The aim of this scoping review is to synthesize the existing body of studies that use nudge strategy and focus on behavioral practices suitable for prevention and control of neglected tropical diseases. The review will map the existing literature, identify gaps in knowledge, and provide a series of recommendations for future research.

There is a well-established body of knowledge related to "nudging," a strategy that uses subtle stimuli to direct people's behavior within public health interventions, with the aim of changing behaviors to reduce the prevalence of non-communicable diseases. Recently, interventions to promote prevention and control of neglected tropical diseases have included nudging as a strategy for altering behavior. However, these interventions not been synthesized and present the opportunity for a scoping review.

Eligible studies are those that include nudge strategies aimed at changing behavior to prevent and control neglected tropical diseases. All types of behavioral practices suitable for targeting neglected tropical diseases (e.g. handwashing behaviors) will be considered, not exclusively focusing on a specific type or group of neglected tropical diseases. The nudge strategy must be described in full, without restrictions to the study design. The context or population will be limited to low- and middle-income countries.

A comprehensive search will be performed in the following databases: MEDLINE, PsycINFO, and Embase (Ovid), Web of Science Core Collection, CINAHL, ERIC, and EconLit (EBSCO), as well as registered trials and reviews in CENTRAL and PROSPERO to identify ongoing or unpublished studies. Titles will be screened by one reviewer, and non-eligible studies excluded. Two reviewers (SB and FVV) will screen abstracts independently. Eligible studies will be selected through a questionnaire that specifies the inclusion criteria. Papers selected for inclusion will be subject to data extraction using a tool designed by one review author and agreed upon by the other review authors. Data will be presented in a table and other conceptual styles.