Chatbot-based health interventions in low- and middle-income countries: effective access, early attrition, and design strategies from a mixed-methods study.

Klapow MC., Zinser P., Facciola C., Han Q., da Graça Ambrósio M., Antonio Calderón Alfaro F., Mamauag B., Reyes J., Habacon C., Alampay LP., Mendez SE., Juhari RB., Madon Z., Zeehan Mohd Nadzri F., Schafer M., Clements L., Stern D., Lachman JM.

Equity in digital health is commonly assessed through enrolment and coverage. For interventions requiring sustained participation, enrolment can substantially overstate access. We report a convergent mixed-methods optimisation study of a chatbot-based behaviour change intervention for caregivers (ParentText) delivered via WhatsApp and Facebook Messenger across three low- and middle-income countries: Jamaica, Malaysia, and the Philippines (N = 1293). Using engagement logs, participant and implementer interviews, and a structured consensus process, we examined attrition patterns and explored optimisations. Median engagement was two days and one module; 93.8% of participants completed less than 25% of available content over the five-week intervention. Fewer than one in five participants remained active at Day 7 in two of three sites. Structural barriers included platform policies restricting follow-up after non-response, high message burden, and onboarding design. A consensus panel identified 23 barriers and generated 29 optimisations (69% rated highly feasible within LMIC contexts), currently being tested in a subsequent trial. We introduce effective access as a complementary construct for digital health interventions requiring repeated participation and propose three design principles: 1) test whether users can resume participation under platform constraints; 2) reduce message burden without removing content; and 3) treat re-engagement as a core feature.

DOI

10.1038/s44482-026-00027-5

Type

Journal article

Publication Date

2026-01-01T00:00:00+00:00

Volume

1

Keywords

Health care, Medical research, Scientific community

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