Evidence map›Paper›PMID 40270690›Full record

ArticleFrontiers in global women's health2025

Leveraging health financing, digital health and self-care approaches to strengthen maternal health journeys in India: perspectives from Assam.

Sowmya Ramesh, Charlotte E Warren, Ben Bellows, Himanshi Dwivedi, Himani Gupta, Ashita Munjral, Swapnil Rawat, David Tresner-Kirsch, Jitender Nagpal

Abstract read
In one paragraph

Article in Frontiers in global women's health, 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

9 authors.

Sowmya Ramesh *Population Council Consulting, New Delhi, Delhi, India.
Charlotte E Warren *Social and Behavioral Science Research, Population Council, New York, NY, United States.
Ben BellowsNivi Inc, Sudbury, MA, United States.
Himanshi DwivediPopulation Council Consulting, New Delhi, Delhi, India.
Himani GuptaPopulation Council Consulting, New Delhi, Delhi, India.
Ashita MunjralPopulation Council, New Delhi, Delhi, India.
Swapnil RawatResearch Department, Sitaram Bhartia Institute of Science and Research, New Delhi, Delhi, India.
David Tresner-KirschNivi Inc, Sudbury, MA, United States.
Jitender NagpalDepartment of Pediatrics, Sitaram Bhartia Institute of Science and Research, New Delhi, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal morbidity and mortality in India continue to be high in populations and places with limited access to quality health services. Major barriers include out of pocket expenditure, lack of autonomy and information around maternal health services and weak implementation of pro-poor policies. Addressing demand-side barriers and enablers is critical to improving healthcare uptake and healthcare adherence along the pregnancy-postnatal continuum. This paper describes three well known operational spaces, maternal health financing, digital health, and self-care interventions within the Indian context including pro-poor maternal health policies, mobile health ecosystems and networks, and self-care opportunities that promote women's knowledge, choice, self-efficacy, and autonomy. These are expanded on to identify additional opportunities to improve access to MH services. Finally, the authors describe a new digital health intervention using a chat-based digital support system that has the potential to reduce barriers that women face in seeking and receiving quality MH services in Assam and elsewhere. Future work on how to implement such a combined approach need to account for multiple contextual factors, including understanding the nature and success of national pro-poor MH policies in each state, how the public and private health systems function and interact, social determinants of health as well as engaging women in the process to improve maternal and newborn health outcomes.

Indexed as

Assamchatbotdigital support systemempowermenthealth financeIndiamaternal healthselfcare

Identifiers

PMID40270690
PMCPMC12014564

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.