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Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018

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 death...

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Autores principales: Verma, Madhur, Tripathy, Jaya Prasad, Arora, Varun, Kaur, Harmanjeet, Rashi, Parija, Pragyan Paramita, Gupta, Madhu, Gupta, Rakesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648265/
https://www.ncbi.nlm.nih.gov/pubmed/36387616
http://dx.doi.org/10.4103/jfmpc.jfmpc_2315_21
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author Verma, Madhur
Tripathy, Jaya Prasad
Arora, Varun
Kaur, Harmanjeet
Rashi,
Parija, Pragyan Paramita
Gupta, Madhu
Gupta, Rakesh
author_facet Verma, Madhur
Tripathy, Jaya Prasad
Arora, Varun
Kaur, Harmanjeet
Rashi,
Parija, Pragyan Paramita
Gupta, Madhu
Gupta, Rakesh
author_sort Verma, Madhur
collection PubMed
description 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.
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spelling pubmed-96482652022-11-15 Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018 Verma, Madhur Tripathy, Jaya Prasad Arora, Varun Kaur, Harmanjeet Rashi, Parija, Pragyan Paramita Gupta, Madhu Gupta, Rakesh J Family Med Prim Care Original Article 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. Wolters Kluwer - Medknow 2022-07 2022-07-22 /pmc/articles/PMC9648265/ /pubmed/36387616 http://dx.doi.org/10.4103/jfmpc.jfmpc_2315_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Verma, Madhur
Tripathy, Jaya Prasad
Arora, Varun
Kaur, Harmanjeet
Rashi,
Parija, Pragyan Paramita
Gupta, Madhu
Gupta, Rakesh
Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018
title Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018
title_full Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018
title_fullStr Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018
title_full_unstemmed Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018
title_short Analysis of Maternal and Infant Death Reporting System (MIDRS) in a North Indian State during 2013–2018
title_sort analysis of maternal and infant death reporting system (midrs) in a north indian state during 2013–2018
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648265/
https://www.ncbi.nlm.nih.gov/pubmed/36387616
http://dx.doi.org/10.4103/jfmpc.jfmpc_2315_21
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