Evidence map›Paper›PMID 40584790›Full record

ReviewJournal of obstetrics and gynaecology of India2025

Robson Caesarean Calc© App: A User-Friendly Tool for Healthcare Providers.

Vijayan Sharmila, Olivia Marie Jacob, Abhishek Das, Thirunavukkarasu Arun Babu

Abstract readReview
In one paragraph

Review in Journal of obstetrics and gynaecology of India, 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

4 authors.

Vijayan SharmilaDepartment of Obstetrics & Gynecology, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh India.ORCID 0000-0003-4821-561X
Olivia Marie JacobDepartment of Obstetrics & Gynecology, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh India.
Abhishek DasAll India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh India.
Thirunavukkarasu Arun BabuDepartment of Pediatrics, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global rise in caesarean section (CS) rates poses a significant public health challenge, being associated with adverse maternal, foetal, and child health outcomes. In response, the World Health Organization advocates for the use of Robson's classification system, which categorizes labouring women into ten groups based on key obstetric characteristics. This facilitates standardized CS audits and targeted clinical interventions. Methods: To support implementation of Robson's classification in clinical practice, the Robson Caesarean Calc© mobile application was developed by a team at AIIMS Mangalagiri. The app is designed to simplify bedside classification by allowing healthcare workers to input relevant patient data quickly and accurately. It includes features such as rapid data entry, offline functionality for use in low-resource settings, and the ability to save data for audits and research purposes. Results: The app has been found to enhance CS auditing processes by streamlining the classification workflow and reducing the likelihood of missing data. Its intuitive interface and cross-platform accessibility make it suitable for both senior and junior healthcare providers. Conclusion: The Robson Caesarean Calc© app is a user-friendly, innovative digital tool that facilitates the implementation of Robson's classification system. Its routine use can improve labor room efficiency, support accurate clinical audits, and contribute to better maternal health outcomes by guiding interventions to address unnecessary CS rates.

Indexed as

AppAuditsCaesarean section (CS)Healthcare toolRobson Caesarean Calc©Robson’s classificationWorld Health Organization (WHO)

Identifiers

PMID40584790
PMCPMC12204954

What OpenQuestion holds

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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.