Online respondent-driven detection for enhanced contact tracing of close-contact infectious diseases: benefits and barriers for public health practice (preprint)

ABSTRACT

Background: Online respondent-driven detection (online-RDD) is a novel method of case-finding that can enhance contact tracing. However, the advantages and challenges of online-RDD for contact tracing (CT) have not yet been investigated from the perspective of public health professionals (PHPs). Therefore, it remains unclear if, and under what circumstances, PHPs are willing to apply online-RDD for contact tracing. Methods: First, between March and April 2019, we conducted semi-structured interviews with Dutch PHPs responsible for CT in practice. Questions were derived from the diffusion of innovations theory. Second, between May and June 2019 we distributed an online questionnaire to 260 Dutch PHPs to quantify the main qualitative findings. Using hypothetical scenarios that involved close-contact pathogens (scabies, shigella, and mumps), we assessed anticipated advantages and challenges of online-RDD and PHPs intention to apply online-RDD for contact tracing. Results: Twelve interviews were held and 70 PHPs filled in the online questionnaire. A majority of questionnaire respondents (71%) had a positive intention towards using online-RDD for contact tracing. Anticipated advantages of online-RDD were related to accommodating easy and autonomous participation in contact tracing of patients and contact persons, and reaching contact persons more efficiently. Anticipated challenges with online-RDD were related to limited opportunities for PHPs to support, motivate, and coordinate the execution of contact tracing, adequately conveying measures to patients and contact persons, and anticipated unrest among patients and contact persons. Online-RDD was considered more applicable when patients and their contact persons are reluctant to share sensitive information directly with PHPs, digitally skilled and literate persons are involved, and the scope of contact tracing is large. Online-RDD was considered less applicable when consequences of missing information or individuals are severe for individuals - or public health, when measures that patients and contact persons need to undertake are complex or impactful, and when a disease is perceived as particularly severe or sensitive by patients and their contact persons. Conclusions: PHPs generally perceived online-RDD as beneficial to public health practice. The method can help overcome challenges present in regular CT and could be used during outbreaks of infectious diseases that spread via close-contact, such as the SARS-CoV-2 virus. We propose a staggered implementation study to further investigate the application of online-RDD for enhanced CT during the ongoing COVID-19 pandemic.