ArticleJournal of family medicine and primary care2022
Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013-2018.
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. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Haryana launched the Maternal and Infant Death Reporting System (MIDRS) in 2013 to report deaths and their causes. We evaluated the system in terms of its data quality, accuracy, and timing of reporting. Methods: Secondary data analysis of data about the maternal, infant, and child deaths from the state level MIDRS portal from 2013 to 2018. The portal combines infant and maternal deaths and stillbirths reported through passive and active surveillance. We used the descriptive measure of statistics (proportion) to describe the characteristics and causes of neonatal, post-neonatal, and maternal deaths. Results: Of 1,18, 028 neonatal deaths, 39% (46,140) neonates died at a government facility. Gender was not recorded in 7,093 (6.0%) deaths. "Others" was a predominant category (14,664, 53%) of death. Of 2,842 maternal deaths, the cause of death was unknown in 465 (16.4%) deaths and mentioned as "others" in 1,618 (56.9%) instances. Nearly 60% of maternal deaths occurred at a health facility. Stillbirth was published as a cause of death in 228 (7.8%) child deaths (1-5 years). Missing data were observed in critical variables such as the timing of maternal mortality (50, 1.8%) and sex of child (4884, 4.3%). Conclusion: Delay in reporting, inconsistencies in data, and missing information were some challenges. Ascertainment of the exact cause of death needs to be improved through better training.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.