The overall objective of this Aim is to design and iteratively adapt a home-based, mHealth- and oral testing facilitated strategy for implementing tuberculosis (TB) contact tracing in Cali, Colombia. Investigators will employ an iterative, community-engaged, participatory co-design process to optimize the feasibility, acceptability, usability, and appropriateness of the mobile health (mHealth) and oral testing strategy, in preparation for a future, appropriately powered implementation-effectiveness trial. This protocol includes the baseline contact tracing protocol and the procedures for determining adaptations to the mHealth strategy (i.e., nominal group technique).
This study will examine the diagnostic performance of oral samples for TB molecular testing in clinic and household settings; as well as utilize a community-engaged design methodology to iteratively refine a mHealth strategy for implementing contact tracing optimized for feasibility, acceptability, usability, and appropriateness. There is a Certificate of Confidentiality in place for this study. After contact tracing procedures have concluded, investigators will administer study instruments to characterize the feasibility, acceptability, appropriateness, and usability of the chatbot. Investigators will also conduct up to \~12 key informant interviews with purposively sampled index persons with TB and their household contacts to elicit views on the mHealth strategy during each cycle (for a total of up to \~36 key informant interviews). After \~40 households (index persons with TB and their household contacts) have been enrolled using these procedures, and all scales and key informant interviews have been completed, the mHealth implementation strategy will be adapted using nominal group technique. Investigators will repeat this cycle twice for a total of three rounds of design and adaptation of chatbot-facilitated contact tracing procedures.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
PREVENTION
Masking
NONE
Enrollment
The chatbot is a WhatsApp-based, artificial-intelligence powered customer service agent adapted for TB outreach. The objective of the Chatbot is to facilitate information gathering, education, and support throughout TB contact evaluation, ensuring accessible assistance on-demand during and after contact tracing procedures. It operates in a secure data environment that includes end-to-end encryption and has been reviewed and approved by the data protection team within the information technology unit at the Cali Secretariat of Public Health (SoPH) for the study purposes.
Oral testing involves collection of a saliva sample or use of a nylon swab to collect material from the tongue and oral mucosa that is then tested with a molecular test for Mycobacterium tuberculosis
Centro Internacional de Entrenamiento e Investigaciones Medicas (CIDIEM)
Cali, Colombia
Implementation of the mHealth Strategy to Assess Feasibility.
Feasibility of the mHealth strategy was defined as the proportion of index persons with TB and household contacts at risk of TB who engaged with the chatbot, defined as responding to at least one message from the chatbot.
Time frame: within 14 days of invitation
Oral Specimen Collection to Assess Feasibility.
Feasibility of the oral testing strategy defined as the proportion of eligible and enrolled contacts of the index person with TB with successful collection of an oral sample
Time frame: within 7 days of screening
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