Description

This study aims to evaluate the effectiveness of a WhatsApp-delivered AI-enabled support and acclimatization programme, compared to traditional paper-based support, for adults receiving preset hearing aids in community-based settings in South Africa. The AI-enabled programme combines two complementary components delivered through the same WhatsApp channel: (i) a structured push component consisting of 16 voice notes and images sent over four weeks, covering hearing aid use, maintenance, troubleshooting, and communication strategies; and (ii) an on-demand AI conversational support agent available throughout the four-week intervention period, enabling participants to ask free-text questions and receive individualized, educationally-bounded responses. The two components are conceived as complementary: structured content delivers a planned curriculum at the right pace for acclimatization, while the AI agent answers ad-hoc questions and addresses individual concerns as they arise. We hypothesize that this WhatsApp-delivered AI-enabled intervention will result in superior hearing aid self-efficacy at five weeks post-fitting compared to receiving the equivalent core information in a paper-based pamphlet at the time of fitting.

To test this hypothesis, we will conduct a two-arm randomized controlled trial with blinded outcome assessment, in which all participants receive preset hearing aids fitted by trained community healthcare workers (CHWs). Participants will be randomly assigned to one of two groups:

• Experimental group (WhatsApp-delivered AI-enabled support): receives the AI-enabled support and acclimatization programme delivered exclusively via WhatsApp, comprising (i) 16 structured voice notes and images delivered over four weeks and (ii) on-demand access to the AI conversational support agent throughout the four-week intervention period.
• Control group (paper-based support): receives the equivalent core support information delivered exclusively in a printed pamphlet at the time of fitting.

This design compares two delivery models for hearing aid support information, a WhatsApp-delivered AI-enabled programme versus traditional paper-based provision, for first-time hearing aid users in low-resource community settings. Follow-up occurs one week after completion of the 4-week intervention. Therefore, follow-up visits to complete outcome measures will be conducted at five weeks post-fitting to ensure all experimental group participants have completed the intervention.

The primary outcome will be hearing aid self-efficacy, assessed using the Measure of Audiologic Rehabilitation Self-Efficacy for Hearing Aids (MARS-HA) global score at five weeks post-fitting. Secondary outcomes will include self-reported average daily use assessed using an open-ended question, self-reported hearing aid benefit, use, and satisfaction as measured by the International Outcome Inventory for Hearing Aids (IOI-HA), perceived hearing handicap assessed using the Revised Hearing Handicap Inventory - Screening (RHHI-S), hearing aid skills and knowledge assessed using the Hearing Aid Skills and Knowledge Inventory (HASKI), and social connectedness assessed using the Berkman-Syme Social Network Index (SNI). Device retention and any device-related issues will also be recorded as additional secondary outcomes. All participants will be provided with a contact number for CHWs should they require additional assistance.

Rationale Given the limited access to hearing care in LMICs due to prohibitive costs and scarcity of trained professionals, this study leverages mHealth solutions and task-shifting to CHWs as a sustainable and scalable approach. Preliminary studies have demonstrated the feasibility of CHW-facilitated hearing aid fittings and the potential of digital support programmes to improve user outcomes. However, there is a lack of evidence from randomized controlled trials comparing digital versus traditional paper-based support in LMICs. By evaluating differences in hearing aid self-efficacy, hearing aid benefit, use, satisfaction, perceived handicap, and practical device skills, this study will provide evidence on whether mHealth-delivered support offers superior support compared to standard paper-based information.

If mHealth support demonstrates superior outcomes, it would justify scaling up digital acclimatization programmes as part of community-based hearing care models, leveraging widely available platforms such as WhatsApp to improve hearing aid success in underserved populations.