Evidence map›Paper›PMID 36352949›Full record

ArticleJournal of family medicine and primary care2022

Hospital-Based Retrospective Cross-sectional Study to Analyse the Causes of Maternal Deaths at a Tertiary Health Care Facility.

Naresh Pal Singh, Pankaj Kumar Jain, Deepanshi Saxena, Nilima Devi Takhelchangbam, Anamika Singh

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. 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
1.1field-weighted citation impact, top 20% of its field
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, 3 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Naresh Pal SinghDepartment of Community Medicine, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah, Uttar Pradesh, India.
Pankaj Kumar JainDepartment of Community Medicine, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah, Uttar Pradesh, India.
Deepanshi SaxenaDepartment of Community Medicine, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah, Uttar Pradesh, India.
Nilima Devi TakhelchangbamDepartment of Community Medicine, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah, Uttar Pradesh, India.
Anamika SinghDepartment of Physiology, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah, Uttar Pradesh, India.
Adesh University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Maternal mortality is considered a key health indicator of Maternal and Child Health. Considering the fact that complications are preventable and most of them are modifiable, the study has been planned to analyse maternal deaths in order to suggest recommendations for preventing it. There are various delays according to the three-delay model at primary and secondary level; therefore, interventions are needed at those levels to prevent maternal deaths. Aims: To determine the various direct and indirect causes of maternal deaths, analyse the association of medical and social factors with maternal deaths and ^to determine the predictors of maternal deaths. Settings and Design: Hospital-based retrospective cross-sectional study of all the maternal deaths occurring in the last 4 years at a tertiary health care facility. Methods and Material: Data were collected from the Facility Based Maternal Death Review forms. Statistical Analysis Used: Data were entered and analysed by IBM SPSS version 25.0 software. Results: For maternal deaths, direct obstetric causes were responsible in 128 (74.4%) and indirect causes in 45 (26.2%) cases followed by unspecified causes in 78 (45.3%) and 1 (0.6%) coincidental cause. Statistically significant associations were observed between maternal death and period of gestation, mode of delivery and outcome of delivery ( Conclusions: The health professionals of primary and secondary level should be well equipped to diagnose the complications and to manage it as early as possible. Thus, maternal mortality rates can be decreased to significant level.

Indexed as

Direct and indirect causesfactors associated with maternal deathsmaternal mortality

Identifiers

PMID36352949
PMCPMC9638577
OpenAlexW4295345637

What OpenQuestion holds

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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.