Evidence map›Paper›PMID 31681648›Full record

ArticleJournal of family medicine and primary care2019

Study of maternal outcome in referral obstetric cases in a tertiary care centre.

Rekha Jakhar, Ankita Choudhary

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 28 citations in OpenAlex.

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  7. Pregnancy-related emergencies: Profile and outcome.Journal of family medicine and primary care · 2020
    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

2 authors at 1 institution in 1 country.

Rekha JakharDepartment of Obstetrics and Gynaecology, Umed Hospital, Dr S. N. Medical College, Jodhpur, Rajasthan, India.
Ankita ChoudharyDepartment of Obstetrics and Gynaecology, Umed Hospital, Dr S. N. Medical College, Jodhpur, Rajasthan, India.
Sarojini Naidu Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo identify the pattern of Obstetric referral to our hospital and the primary reasons for referral, so as to implement measures to reduce unnecessary referrals and to reduce maternal mortality and morbidity.

methodAll the referred cases for obstetrics indications above 20 weeks were analysed for cause of referral, their condition and outcome for a period of 6 months from January 2016 to June 2016.

resultsAccording to our study out of a total of 10172 delivered patients, 1014 (9.96%) cases were referred patients. Maximum cases i.e. 713 (70. 3%) were in the age group of 21-30. Most of the cases 678 (66.86%) did not receive any treatment at referral hospital before being referred. Only 27.52% patients were referred with referral slips/chit etc., having adequate information and 40.24% of cases were delayed referrals. 183 (18.04%) patients required intensive care unit admission.

conclusionThe present study showed that illiteracy and ignorance of female regarding healthcare requirements and poor infrastructure came out to be a major contributor of poor pregnancy outcome. Timely referral is crucial for a satisfactory maternal and fetal outcome. To reduce the number of unnecessary referrals and to reduce burden on tertiary care hospitals, health care workers should be trained in essential and emergency obstetric care which will help in reducing morbidity and mortality.

Indexed as

Ante-natal check-upfetal mortalitymaternal mortalityreferral

Identifiers

PMID31681648
PMCPMC6820423
OpenAlexW2978186740

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.