Developing and validating modular surveys for vector-borne diseases: a study protocol

Abstract

Vector-borne diseases are an increasing threat to human health and well-being in the United States. Understanding public perception and practices taken to reduce vector abundance and vector-human contact can guide effective interventions that can mitigate health risks. Nevertheless, vector-borne disease surveys, which are widely used in the field to understand public perception and practices, are often inconsistent in terms of structure and implementation. This protocol is designed to provide guidance for public health professionals and researchers in the development of future KAP studies by ensuring uniformity in design and structure. This manuscript describes a rigorous three-phase protocol for the development of standardized vector-borne disease survey modules that can be used throughout the United States to generate data that are comparable across diverse regions. During phase one, a workshop with subject matter experts and a comprehensive literature review will be conducted to identify survey domains and generate items of interest. Survey items will also be mapped based on two theoretical frameworks, the Health Belief Model and the Risks, Attitudes, Norms, Abilities and Self-Regulation framework, to help gauge individual perceptions of risk severity and self-efficacy. During phase two, a group of expert judges will evaluate survey items based on content relevance, representativeness, and technical quality. During the final phase, cognitive interviews and surveys with target audience groups will be conducted to ensure the face validity of the modules. Participants will be drawn from a diverse range of educational and geographic locations, and computer-assisted personal interviewing will be implemented. The surveys developed through this protocol will be available to researchers aiming to gain deeper insights into the public's knowledge, attitudes, and practices concerning vector-borne diseases, facilitating the collection of more comparable data across various regions in the United States.