Evidence map›Paper›PMID 38736837›Full record

ArticleJournal of family medicine and primary care2024

Development of a novel labour monitoring tool: Improving labour care quality in the Indian setting.

Shivani Sharma, Saroj Parwez, Kiran Batra

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. 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

3 authors.

Shivani SharmaProfessor, Department of OBG, Mata Sahib Kaur College of Nursing, Mohali, Punjab, India.
Saroj ParwezEx-Director Principal, Swami Devi Dayal College of Nursing, Panchkula, Haryana, India.
Kiran BatraProfessor cum Principal, Mata Sahib Kaur College of Nursing, Mohali, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Efficient care by labour monitoring tools manages labour, identifies the abnormalities and avoids the fatalities. Various studies are being undertaken by the researchers to understand the limited use of these therapeutic tools. The present study aimed to develop a novel labour monitoring instrument after understanding the barriers and enablers of the currently used tools and using it in the health setting for improving clinical outcomes. Materials and Methods: Methodological research design was adopted to develop the novel tool. Item pool was generated by literature review, focus group discussions and retrospective observations of the partographs. Developed tool was evaluated by various experts by undergoing three rounds and was found to be reliable in terms of stability and equivalency. After undergoing pilot runs by researcher and nurses, tool was found to be feasible and understandable. The developed novel labour monitoring tool was used on 200 intranatal women. Results: Focus group discussions revealed various barriers in the current labour tools, such as lack of clarity, complexity, staff shortage, workload etc. Retrospective observation of filled partographs revealed the incomplete recording of the components of the partograph. The prepared first draft underwent rigorous review by the experts. The prepared novel tool, after being used on 200 intranatal women resulted in 90% of normal vaginal deliveries. Duration of 1st stage of labour was around 5 hours. Conclusion: A novel labour monitoring tool was developed after methodological approach resulting in adequate monitoring and improved labour outcomes.

Indexed as

Indialabourmaternal outcomepartograph

Identifiers

PMID38736837
PMCPMC11086793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.