Evidence map›Paper›PMID 40577696›Full record

ArticleJMIR pediatrics and parenting2025

Preliminary Effectiveness of a Postnatal mHealth and Virtual Social Support Intervention on Newborn and Infant Health and Feeding Practices in Punjab, India: Quasi-Experimental Pre-Post Pilot Study.

Garima Singh Verma, Lakshmi Gopalakrishnan, Alison El Ayadi, Nadia Diamond-Smith, Rashmi Bagga, Shashi Kant Dhir, Pushpendra Singh, Navneet Gill, Vaibhav Miglani, Naveen Mutyala and 5 more

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Garima Singh Verma *Department of Obstetrics and Gynecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0009-0001-4943-7102
Lakshmi Gopalakrishnan *Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0003-3226-9090
Alison El Ayadi *Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0003-2674-4887
Nadia Diamond-Smith *Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-8711-3029
Rashmi Bagga *Department of Obstetrics and Gynecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0000-0003-2693-2343
Shashi Kant DhirDepartment of Pediatrics, Guru Gobind Singh Medical College and Hospital, Faridkot, India.ORCID http://orcid.org/0000-0001-5309-6155
Pushpendra SinghDepartment of Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi, India.ORCID http://orcid.org/0000-0003-2152-1027
Navneet GillDepartment of Obstetrics and Gynecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0009-0004-3842-5175
Vaibhav MiglaniDepartment of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0000-0002-0189-8890
Naveen MutyalaDepartment of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0009-0007-2289-4438
Ankita KankariaDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0000-0002-4641-7333
Jasmeet KaurDepartment of Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi, India.ORCID http://orcid.org/0000-0003-4757-2973
Alka AhujaDepartment of Obstetrics and Gynecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0000-0002-4055-4097
Vijay KumarSWACH - Foundation for Survival of Women and Children, Panchkula, India.
Mona Duggal *National Institute for Research in Digital Health and Data Science, Indian Council of Medical Research, Ansari Nagar East, New Delhi, 110029, India.ORCID http://orcid.org/0000-0002-9404-2871

Funding

Development and Pilot Test of an mHealth Interactive Education and Social Support Intervention for Improving Postnatal HealthR21HD101786 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DIAMOND-SMITH, NADIA GRIFFI, EL AYADI, ALISON M · 2020 to 2021
$401k
NICHD NIH HHS R21 HD101786
6 · The paper itself

Abstract

Background: We evaluated a pilot mobile health (mHealth) intervention aimed at improving postnatal maternal and infant health. The intervention featured provider-led group sessions for education, health care communication, in-person care referrals, and virtual mHealth support for postpartum mothers through weekly calls, texts, interactive voice response (IVR), and a phone app. Objective: We aimed to assess the preliminary effectiveness of the pilot mHealth intervention, MeSSSSage (Maa Shishu Swasthya Sahayak Samooh, which means maternal and child health support group), on infant health knowledge, behaviors, and outcomes at 6 months post partum. We focus on maternal knowledge of infant danger signs and optimal young child feeding practices at 6 months post partum and also evaluate maternal care-seeking behaviors for infants, adherence to age-appropriate immunization, and infant and young child feeding practices such as early initiation of breastfeeding and complementary feeding. Methods: We evaluated the preliminary effectiveness of an intervention on maternal health knowledge among 135 participants in Punjab, India, who completed pre- and postintervention surveys. The intervention, led by research personnel with backgrounds similar to community health officers, aimed to empower society and support universal health coverage if successful. We assessed changes in knowledge of maternal danger signs and the appropriate age for introducing different food groups over 6 months post partum. Additionally, we examined postintervention differences in health-seeking behavior for infants, adherence to age-appropriate immunizations, and adoption of breastfeeding and complementary feeding practices among women in the synchronous (group call), asynchronous (IVR and app), and control arms. Results: Of 12 infant risk factors, maternal knowledge of infant danger signs remained low (mean range: 1.85-2.31 preintervention and 1.81-2.22 postintervention). Participants in the synchronous arm had a statistically significant higher mean increase (mean difference: 0.87, 95% CI 0.06-1.69) compared to the control arm. Participants in synchronous arms had nearly 3-fold increased odds of infant health checkup by a clinical provider than asynchronous arm participants (odds ratio [OR] 2.72, 95% CI 1.02-7.23). No significant differences were noted in age-appropriate vaccine coverage among infants between arms, though vaccination coverage was more than 80% across all arms. Early initiation of breastfeeding remained low across all arms (~47%). Conclusions: Our pilot study on group-based mHealth education and virtual social support during the postnatal phase showed modest yet promising results. Rigorous testing is crucial to strengthening the limited evidence base for group-oriented mHealth approaches.

Indexed as

appbabybreastfeedingcare seekingdigital healthfeedinghealth educationIndiainfantinfant morbiditymaternalmHealthmobile healthmotherneonatenewbornonline supportpediatricpostnatalpostpartumsocial supporttext messagevirtual support

Identifiers

PMID40577696
PMCPMC12227177

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.