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Improving the effectiveness of client support services with the use of artificial intelligence for users of a mobile phone based health education programme for maternal and child health.

Randomised control trial to evaluate of the effectiveness of deploying an AI model using predictive analysis in reducing non-engagement among mMitra subscribers - AIMMITRA

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2022/02/039896
Enrollment
10800
Registered
2022-02-01
Start date
Unknown
Completion date
Unknown
Last updated
2022-11-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: RMAB: Selection of subscribers for receiving service call based on predictive analysis AI model (RMAB) over a period of 8 weeks Control Intervention1: Round Robin: Consecutive Subscribe

Sponsors

Google India Pvt Ltd
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: All active subscribers of mMitra automated voice messaging service. These are pregnant women and mothers of infants who have been enrolled for the mMitra service for 30-120 days on the start date of the study

Exclusion criteria

Exclusion criteria: All subscribers opting out of the service during the course of the trial

Design outcomes

Primary

MeasureTime frame
Proportion of subscribers who engage (pick up at least one call and listen for more than 30 seconds) within each groupTimepoint: Proportion of subscribers who engage (pick up at least one call and listen for more than 30 seconds) within each group at baseline, at the end of each week and cumulatively at the end of 8 weeks—

Secondary

MeasureTime frame
Proportion of service calls successfully receivedTimepoint: Weekly for 12 weeks—

Countries

India

Contacts

Public ContactNeha Madhiwalla

ARMMAN

neha@armman.org9892220160

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026