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Evaluating the contribution of artificial intelligence to improvement of health outcomes in an mHealth programme

â??Study to evaluate the effectiveness outcomes of service calls delivered to mMitra subscribers selected using predictive analysis ?

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2023/02/049472
Enrollment
60000
Registered
2023-02-06
Start date
Unknown
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Health Condition 1: O00-O9A- Pregnancy, childbirth and the puerperium

Interventions

Intervention1: Decision-focused learning: An AI algorithm trained on the past data of the programme selects currently enrolled beneficiaries for receiving a service call. A service call is a live tele

Sponsors

Google India Pvt. Ltd.
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Pregnant women and mothers of infants enrolled for mhealth programme to receive health information via automated voice-messages.

Exclusion criteria

Exclusion criteria: Beneficiaries whose enrolment/subscription has been deactivated or suspended

Design outcomes

Primary

MeasureTime frame
Improvement in health-seeking behaviour and health outcomes in the sub-population receiving service calls based on selection by AI based modelTimepoint: Assessment will be conducted 6 months after initiation of the service call programme—

Secondary

MeasureTime frame
User experience of service callsTimepoint: 1 month after delivery of the service call—

Countries

India

Contacts

Public ContactNeha Madhiwalla

ARMMAN

neha@armman.org9892220160

Outcome results

None listed

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