Evidence map›Paper›PMID 39928649›Full record

ArticlePloS one2025

Implementation research to develop an optimized delivery model for effective implementation of evidence-based interventions to reduce stillbirth in India: A study protocol.

Gadapani Barsha Pathak, Reema Mukherjee, Vani Kandpal, Abhishek Agarwal, Prem Mony, Maryann Washington, Sarmila Mazumder, N K Arora

Abstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Determinants and Experiences of Care-Seeking for Childhood Pneumonia in a Rural Indian Setting: A Mixed-Methods Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    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

8 authors.

Gadapani Barsha PathakSociety for Applied Studies, New Delhi, India.
Reema MukherjeeDivision of Reproductive, Child Health and Nutrition, Indian Council of Medical Research, New Delhi, India.ORCID https://orcid.org/0000-0001-9754-5637
Vani KandpalDivision of Reproductive, Child Health and Nutrition, Indian Council of Medical Research, New Delhi, India.
Abhishek AgarwalDepartment of Research, The INCLEN Trust, New Delhi, India.
Prem MonyDivision of Epidemiology, Biostatistics and Population Health, St. John's Research Institute, Bangalore, Karnataka, India.
Maryann WashingtonDivision of Epidemiology, Biostatistics and Population Health, St. John's Research Institute, Bangalore, Karnataka, India.
Sarmila MazumderSociety for Applied Studies, New Delhi, India.
N K AroraDepartment of Research, The INCLEN Trust, New Delhi, India.ORCID https://orcid.org/0000-0003-3008-8616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStillbirth remains a public health concern in India, despite a decrease in reported rates. Inconsistent data collection hampers clear understanding the burden of stillbirth, and interventions for its reduction are scattered across various national programs. This research aims to explore effective strategies to improve the delivery and uptake of high-quality antenatal and intrapartum care services which have the potential to reduce stillbirth rates in various states of India.

methodsThis mixed-method, multi-site study in India will be conducted in three phases: Phase 1: Formative Phase; Phase 2: Development of a Comprehensive Package for Stillbirth Reduction and Optimization of the implementation model and Phase 3: Scale-up of comprehensive package and monitoring of optimized strategy/model. Participants will include pregnant women, women who have recently delivered, family members, respectable community members, healthcare workers and staff, state and district health authorities. The effectiveness of intervention package and optimized implementation model in reducing stillbirth will be evaluated using a pre-post quasi-experimental design. The burden of stillbirth will be estimated through community survey, recording pregnancy outcomes for women who have delivered within the past one year. Various methods including semi-structured questionnaires, verbal autopsies, and in-depth qualitative interview guides, review of clinical case sheets will be used to assess the causes of stillbirth. Additionally, government health facilities will be assessed and strengthened over study period. This study will utilize implementation science theories, models, and frameworks (TMF), including the Consolidated Framework for Implementation Research (CFIR) to identify barriers and facilitators, and the evaluative TMF of RE-AIM (Reach Effectiveness Adoption Implementation and maintenance) to monitor the optimized model. The primary outcome is the development of a scalable, sustainable model of intervention package and delivery strategies to reduce stillbirths. The secondary outcome includes a robust estimation of burden, timing, and risk factors of stillbirths across all study sites. Certain sites will conduct an economic evaluation to assess the incremental cost of implementing comprehensive packages using the optimized implementation model. DISCUSSION: This innovative study addresses a critical public health gap in context of stillbirth reduction in India. Integrating proven interventions with real-world implementation challenges across diverse regions, this project aims to develop a comprehensive and replicable model. If successful, this model can significantly improve stillbirth prevention in low-resource settings.

trial registrationClinicalTrials.gov CTRI-2024/07/069796.

Indexed as

Prenatal CareStillbirthFemaleHumansIndiaMulticenter Studies as TopicObservational Studies as TopicPregnancyResearch Design

Identifiers

PMID39928649
PMCPMC11809859

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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.