Evidence map›Paper›PMID 29347930›Full record

ArticleBMC pregnancy and childbirth2018

Risk factors for stillbirths: how much can a responsive health system prevent?

Sutapa Bandyopadhyay Neogi, Jyoti Sharma, Preeti Negandhi, Monika Chauhan, Siddharth Reddy, Ghanashyam Sethy

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
9.1field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  17. Causes for Medical Errors in Obstetrics and Gynaecology.Healthcare (Basel, Switzerland) · 2023
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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

6 authors at 2 institutions in 1 country.

Sutapa Bandyopadhyay NeogiIndian Institute of Public Health- Delhi, Public Health Foundation of India, Gurugram, India. sutapa.bneogi@iiphd.org.
Jyoti SharmaIndian Institute of Public Health- Delhi, Public Health Foundation of India, Gurugram, India.
Preeti NegandhiIndian Institute of Public Health- Delhi, Public Health Foundation of India, Gurugram, India.
Monika ChauhanIndian Institute of Public Health- Delhi, Public Health Foundation of India, Gurugram, India.
Siddharth ReddyUNICEF, Bihar, India.
Ghanashyam SethyUNICEF, Bihar, India.
Institute of Public Health · INUnited Nations Children's Fund India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe stillbirth rate is an indicator of quality of care during pregnancy and delivery. Good quality care is supported by a functional heath system. The objective of this study was to explore the risk factors for stillbirths, particularly those related to a health system.

methodsThis case-control study was conducted in two districts of Bihar, India. Information on cases (stillbirths) were obtained from facilities as reported by Health Management Information System; controls were consecutive live births from the same population as cases. Data were collected from 400 cases and 800 controls. The risk factors were compared using a hierarchical approach and expressed as odds ratio, attributable fractions and population attributable fractions.

resultsOf all the factors studied, 22 risk factors were independently associated with stillbirths. Health system-related factors were: administration of two or more doses of oxytocics to augment labour before reaching the facilities (OR 1.6; 95% CI 1.2-2.1), any complications during labour (OR 2.3;1.7-3.1), >30 min to reach a facility from home (OR 1.4;1.05-1.8), >10 min to attend to the pregnant woman after reaching the facility (OR 2.8;1.7-4.5). In the final regression model, modifiable health system-related risk factors included: >10 min taken to attend to women after they reach the facilities (AOR 3.6; 95% CI 2.5-5.1), untreated hypertension during pregnancy (AOR 2.9; 95% CI 1.5-5.6) and presence of any complication during labour, warranting treatment (AOR 1.7; 95% CI 1.2-2.4). Among mothers who reported complications during labour, time taken to reach the facility was significantly different between stillbirths and live births (2nd delay; 33.5 min v/s 25 min; p < 0.001). Attributable fraction for any complication during labour was 0.56 (95% CI 0.42-0.67), >30 min to reach the facility 0.48 (95% CI 0.31-0.60) and institution of management 10 min after reaching the facility 0.68 (95% CI 0.58-0.75). Reaching a facility within 30 min, initiation of management within 10 min of reaching the facility and timely management of complications during labour could have prevented 17%, 37% and 20% of stillbirths respectively.

conclusionA pro-active health system with accessible, timely and quality obstetric services can prevent a considerable proportion of stillbirths in low and middle income countries.

Indexed as

AdultCase-Control StudiesFemaleHealth Services AccessibilityHumansIndiaObstetric Labor ComplicationsPovertyPregnancyPrenatal CareQuality of Health CareRegression AnalysisRisk FactorsStillbirthTime-to-TreatmentHealth systemsLow and middle income countriesRisk factorsStillbirths

Identifiers

PMID29347930
PMCPMC5774063
OpenAlexW2788900947

What OpenQuestion 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 OpenQuestion graph.