Evidence map›Paper›PMID 36962393›Full record

ArticlePLOS global public health2022

Estimates and correlates of district-level maternal mortality ratio in India.

Srinivas Goli, Parul Puri, Pradeep S Salve, Saseendran Pallikadavath, K S James

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

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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.

Srinivas GoliInternational Institute for Population Sciences, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-8481-484X
Parul PuriInternational Institute for Population Sciences, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0001-6272-837X
Pradeep S SalveInternational Institute for Population Sciences, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-6879-1246
Saseendran PallikadavathUniversity of Portsmouth, Portsmouth, United Kingdom.
K S JamesInternational Institute for Population Sciences, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-5364-5326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the progress achieved, approximately one-quarter of all maternal deaths worldwide occur in India. Till now, India monitors maternal mortality in 18 out of its 36 provinces using information from the periodic sample registration system (SRS). The country does not have reliable routine information on maternal deaths for smaller states and districts. And, this has been a major hurdle in local-level health policy and planning to prevent avoidable maternal deaths. For the first time, using triangulation of routine records of maternal deaths under the Health Management Information System (HMIS), Census of India, and SRS, we provide Maternal Mortality Ratio (MMR) for all states and districts of India. Also, we examined socio-demographic and health care correlates of MMR using large-sample and robust statistical tools. The findings suggest that 70% of districts (448 out of 640 districts) in India have reported MMR above 70 deaths-a target set under Sustainable Development Goal-3. According to SRS, only Assam shows MMR of more than 200, while our assessment based on HMIS suggests that about 6-states (and two union territories) and 128-districts have MMR above 200. Thus, the findings highlight the presence of spatial heterogeneity in MMR across districts in the country, with spatial clustering of high MMR in North-eastern, Eastern, and Central regions and low MMR in the Southern and Western regions. Even the better-off states such as Kerala, Tamil Nadu, Andhra Pradesh, Karnataka, and Gujarat have districts of medium-to-high MMR. In order of their importance, fertility levels, the sex ratio at birth, health infrastructure, years of schooling, postnatal care, maternal age and nutrition, and poor economic status have emerged as the significant correlates of MMR. In conclusion, we show that HMIS is a reliable, cost-effective, and routine source of information for monitoring maternal mortality ratio in India and its states and districts.

Identifiers

PMID36962393
PMCPMC10021851

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