A WhatsApp-Delivered AI-Enabled Support Programme Versus Paper-Based Support for First-Time Hearing Aid Users in Low-Resource Communities: A Randomized Controlled Trial
A WhatsApp-Delivered AI-Enabled Support Programme Versus Paper-Based Support for First-Time Hearing Aid Users in Low-Resource Communities: A Randomized Controlled Trial
The purpose of this study is to advance hearing care in low- and middle-income countries (LMICs) through the rigorous evaluation and optimization of innovative interventions and technologies. This study encompasses the following key aim:
This study aims to evaluate the effectiveness of a WhatsApp-delivered AI-enabled support and acclimatization programme for adults receiving preset hearing aids in low-resource community settings. The AI-enabled programme combines two complementary components delivered through the same WhatsApp channel: (i) a structured push programme of 16 voice notes and images delivered over four weeks, and (ii) an on-demand artificial-intelligence (AI) conversational support agent available throughout the four-week intervention period. The primary objective is to determine whether this WhatsApp-delivered AI-enabled programme results in superior hearing aid self-efficacy compared to receiving the equivalent core information in a paper-based pamphlet at the time of fitting. By comparing hearing aid self-efficacy, hearing aid outcomes, and user engagement between the intervention (WhatsApp AI-enabled) and control (paper-based) groups, this study seeks to establish whether AI-enabled digital delivery provides superior support and leads to better self-efficacy for first-time hearing aid users compared to traditional paper-based methods.
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:
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.
Inclusion Criteria:
Exclusion Criteria:
caitlin.frisby@up.ac.za+27 78 300 2511
tersia@hearxfoundation.org+27 84 514 2086
Pretoria, Province 0008, South Africa
caitlin.frisby@up.ac.za+27 78 300 2511
tersia@hearxfoundation.org+27 84 514 2086
tersia@hearxfoundation.org+27 84 514 2086
caitlin.frisby@up.ac.za+27 78 300 2511