Evidence map›Paper›PMID 41364740›Full record

ArticleJMIR research protocols2025

Impact of a Multicomponent Intervention to Build Capacity of Public Health Workers to Make Algorithmic Diagnosis and Management of High-Risk Pregnancies in Uttar Pradesh, India: Protocol for a Matched-Control, Before-After, Quasi-Experimental Study With a Mixed Methods Design.

Hanimi Reddy Modugu, Chetan Purad, Venkatesh Irugulapati, Anil Kumar Shukla, Sandhya N V S Dittakavi, Siri Chandana, Anuja Jayaraman, Karishma Thariani, Aparna Hegde

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hanimi Reddy ModuguResearch Department, ARMMAN, 4th floor, Amogh Plaza, Teachers Colony, Begumpet, Hyderabad, 500 016, India, 91 9911822445.ORCID 0000-0002-4462-0004
Chetan PuradIntegrated High-Risk Pregnancy Tracking and Management (IHRPTM) Program, ARMMAN, Hyderabad, India.ORCID 0000-0003-3831-0859
Venkatesh IrugulapatiIntegrated High-Risk Pregnancy Tracking and Management (IHRPTM) Program, ARMMAN, Hyderabad, India.ORCID 0009-0001-1908-1344
Anil Kumar ShuklaARMMAN, Lucknow, India.ORCID 0009-0001-3153-9362
Sandhya N V S DittakaviResearch Department, ARMMAN, 4th floor, Amogh Plaza, Teachers Colony, Begumpet, Hyderabad, 500 016, India, 91 9911822445.ORCID 0009-0001-1910-7700
Siri ChandanaIntegrated High-Risk Pregnancy Tracking and Management (IHRPTM) Program, ARMMAN, Hyderabad, India.ORCID 0009-0009-6424-688X
Anuja JayaramanARMMAN, Mumbai, India.ORCID 0000-0002-7269-2099
Karishma TharianiFellowship Urogynecology and Pelvic Reconstructive Surgery (AIIMS), New Delhi, India.ORCID 0000-0001-6434-7204
Aparna HegdeARMMAN, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In India, 20%-30% of pregnancies are high-risk, contributing to 75% of perinatal mortality and morbidity. An effective approach to reduce this mortality and morbidity is early identification, effective management, and timely referral of high-risk pregnancies (HRPs). The Integrated High-Risk Pregnancy Tracking and Management program aims to enhance the capacity of auxiliary nurse midwives (ANMs), medical officers (MOs), and specialist gynecologists by (1) providing algorithmic, color-coded, detailed yet simple HRP protocols, customized for each role; (2) offering live training; (3) delivering digital training and handholding; and (4) tracking management details for HRPs. Equipping health workers (HWs) with these interventions supports early identification, effective management, and timely referral of HRPs, ultimately improving primary care and enhancing satisfaction of mothers with HRPs. These interventions are implemented in the intervention arm for over 18 months. During this time, HWs of intervention and control arms will continue to receive routine training through state and national programs, and pregnant women of both arms have access to standard maternity services. Objective: At the system level, the program evaluates the impact on the knowledge and skills of HWs in diagnosing and managing HRPs. At the community level, it assesses translation of this knowledge into practice in terms of early diagnosis and protocol-based management of women with HRPs. Methods: The program will be implemented in 2 intervention (Sambhal and Shravasti) and 2 matched control districts (Budaun and Gonda) of Uttar Pradesh, on 6 HRPs. The study uses a "quasi-experimental, before-and-after design" with intervention and control arms. However, the impact of the program will be assessed only on 3 HRPs: moderate or severe anemia, pregnancy-induced hypertension, and antepartum hemorrhage. System-level impacts will be assessed through qualitative data from district officials, specialist gynecologists, MOs, and ANMs at baseline and end line. The community-level impacts will be assessed by comparing quantitative data from recently delivered women at baseline and end line. Community-level impact assessed using the difference-in-difference (DiD) technique. The study received ethical approval. Results: By November 2024, all the ANMs, MOs, specialist gynecologists, staff nurses, and community health officers in 2 intervention districts were trained on 6 HRP protocols, after the protocols were vetted by the Government of Uttar Pradesh. A digital learning tool and WhatsApp-based support system were introduced to facilitate continued learning and handholding of ANMs in managing HRPs and to address queries. Baseline data were collected from 2 arms during June-October 2024. Conclusions: This trial will provide valuable insights into the feasibility and effectiveness of the program at system and community levels in an emerging state like Uttar Pradesh. These insights can feed into capacitating HWs across all the districts and support expansion of the program to include additional HRPs, with significant potential for improving maternal and neonatal outcomes.

Indexed as

Capacity BuildingHealth PersonnelPregnancy, High-RiskAlgorithmsControlled Before-After StudiesFemaleHumansIndiaPregnancyPrenatal CarePublic Healthantenatal carebefore-aftercapacity building of health workersdiagnosis and managementhigh-risk pregnanciesimpact of programintervention control armquasi experimental

Identifiers

PMID41364740
PMCPMC12690279

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.