Evidence map›Paper›PMID 28588919›Full record

ArticleBMJ global health2016

IndOSS-Assam: investigating the feasibility of introducing a simple maternal morbidity surveillance and research system in Assam, India.

Manisha Nair, Manoj K Choudhury, Saswati S Choudhury, Swapna D Kakoty, Umesh C Sarma, Premila Webster, Marian Knight

Abstract read
In one paragraph

Article in BMJ global health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Does induction or augmentation of labor increase the risk of postpartum hemorrhage in pregnant women with anemia? A multicenter prospective cohort study in India.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  3. Characteristics and outcomes of pregnant women hospitalized with severe maternal outcomes in eastern Ethiopia: Results from the Ethiopian Obstetric Surveillance System study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2024
    Article
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  5. Article
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  7. Article
  8. Social Factors and Lack of Awareness Affecting the High Maternal Mortality in Northeast-India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  9. 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

7 authors.

Manisha NairNational Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Manoj K ChoudhurySrimanta Sankaradeva University of Health Sciences, Guwahati, Assam, India.
Saswati S ChoudhuryFAA Medical College, Barpeta, Assam, India.
Swapna D KakotyFAA Medical College, Barpeta, Assam, India.
Umesh C SarmaSrimanta Sankaradeva University of Health Sciences, Guwahati, Assam, India.
Premila WebsterOxford School of Public Health, Oxford Deanery, Oxford, UK.
Marian KnightNational Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the feasibility of establishing a simple maternal morbidity surveillance system in Assam (Indian Obstetric Surveillance System-Assam (IndOSS-Assam)) to investigate the incidence and trends in severe maternal complications. This study presents the surveillance platform of IndOSS-Assam.

designFour tasks were undertaken: (1) setting up of a steering committee; (2) establishing priorities for the region; (3) mapping of surveillance sites; (4) piloting case-notification systems in selected centres.

settingTwo government tertiary hospitals in the state. STUDY POPULATION: Pregnant women delivering in the hospitals between March and August 2015.

main outcome measuresIncidence and case fatality rates with 95% CIs.

resultsLocal stakeholder ownership and a simple uncomplicated anonymous system for case notification were the key strengths of this project. Cases and deaths were reported for six conditions: eclampsia, postpartum haemorrhage, puerperal sepsis, septic abortion, uterine rupture and anaemic heart failure. Among 10 475 women delivering over 6 months, 402 had one of these conditions and 66 died (case fatality 16%). The incidence of eclampsia was 17 per 1000 deliveries (95% CI 14 to 19), postpartum haemorrhage was 11 per 1000 deliveries (95% CI 10 to 13) and anaemic heart failure was 3 per 1000 deliveries (95% CI 2 to 5). For each of the other three conditions-puerperal sepsis, septic abortion and uterine rupture-the incidence rate was 2 per 1000 deliveries.

conclusionsIndOSS-Assam was shown to be a feasible and simple system for ongoing surveillance of maternal morbidity that can be used to monitor the trends in the incidence of specific severe life-threatening conditions during pregnancy.

Identifiers

PMID28588919
PMCPMC5321309

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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.