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Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum

INTRODUCTION: Reduction in maternal mortality has been a top priority in low- and lower middle-income countries of Asia-Pacific region. India, being one of them, has a major responsibility of reducing maternal mortality especially in light of the commitment on the part of the Sustainable Development...

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Autores principales: Yadav, Anita, Prakash, Avinash, Sharma, Charu, Saha, Mrinmoy Kumar, Yadav, Seema, Baghel, Jyoti, Kamath, Anusha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963640/
https://www.ncbi.nlm.nih.gov/pubmed/35360779
http://dx.doi.org/10.4103/jfmpc.jfmpc_1365_21
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author Yadav, Anita
Prakash, Avinash
Sharma, Charu
Saha, Mrinmoy Kumar
Yadav, Seema
Baghel, Jyoti
Kamath, Anusha
author_facet Yadav, Anita
Prakash, Avinash
Sharma, Charu
Saha, Mrinmoy Kumar
Yadav, Seema
Baghel, Jyoti
Kamath, Anusha
author_sort Yadav, Anita
collection PubMed
description INTRODUCTION: Reduction in maternal mortality has been a top priority in low- and lower middle-income countries of Asia-Pacific region. India, being one of them, has a major responsibility of reducing maternal mortality especially in light of the commitment on the part of the Sustainable Development Goals. Despite massive efforts and availability of technology needed to avert maternal deaths, the maternal mortality ratio (MMR) in India continues to be high especially in remote areas. This study aims at collecting the MMR data and analyzing in the context of island infrastructure. MATERIAL AND METHODS: This was a hospital-based cross-sectional study. The records of maternal deaths from January 2010 to December 2019 were collected from the medical record section and analyzed. RESULTS: The MMR was estimated to be 95.63 per 100,000 live births. Majority of the patients were multigravida (82%) in the age group of 21 to 30 years (75%). Around 64% of them were referred cases. Majority (86%) of the deaths occurred in the postpartum period. Hemorrhage was the leading direct cause of maternal deaths (35.7%) followed by hypertensive disorders of pregnancy (HDP) (21.4%). CONCLUSION: Most maternal deaths are preventable. Early detection of high-risk pregnancies and early referral of such patients to a well-equipped center is the key to curb the catastrophe of mortality. Adopting methods like qSOFA (quick sequential organ failure assessment) for identifying patients requiring intensive care and miniPIERS (Preeclampsia Integrated Estimate of RiSk) model for predicting adverse outcome in HDP is the need of hour. More efforts should be made to retain the specialists in the islands.
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spelling pubmed-89636402022-03-30 Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum Yadav, Anita Prakash, Avinash Sharma, Charu Saha, Mrinmoy Kumar Yadav, Seema Baghel, Jyoti Kamath, Anusha J Family Med Prim Care Original Article INTRODUCTION: Reduction in maternal mortality has been a top priority in low- and lower middle-income countries of Asia-Pacific region. India, being one of them, has a major responsibility of reducing maternal mortality especially in light of the commitment on the part of the Sustainable Development Goals. Despite massive efforts and availability of technology needed to avert maternal deaths, the maternal mortality ratio (MMR) in India continues to be high especially in remote areas. This study aims at collecting the MMR data and analyzing in the context of island infrastructure. MATERIAL AND METHODS: This was a hospital-based cross-sectional study. The records of maternal deaths from January 2010 to December 2019 were collected from the medical record section and analyzed. RESULTS: The MMR was estimated to be 95.63 per 100,000 live births. Majority of the patients were multigravida (82%) in the age group of 21 to 30 years (75%). Around 64% of them were referred cases. Majority (86%) of the deaths occurred in the postpartum period. Hemorrhage was the leading direct cause of maternal deaths (35.7%) followed by hypertensive disorders of pregnancy (HDP) (21.4%). CONCLUSION: Most maternal deaths are preventable. Early detection of high-risk pregnancies and early referral of such patients to a well-equipped center is the key to curb the catastrophe of mortality. Adopting methods like qSOFA (quick sequential organ failure assessment) for identifying patients requiring intensive care and miniPIERS (Preeclampsia Integrated Estimate of RiSk) model for predicting adverse outcome in HDP is the need of hour. More efforts should be made to retain the specialists in the islands. Wolters Kluwer - Medknow 2022-02 2022-02-16 /pmc/articles/PMC8963640/ /pubmed/35360779 http://dx.doi.org/10.4103/jfmpc.jfmpc_1365_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
Yadav, Anita
Prakash, Avinash
Sharma, Charu
Saha, Mrinmoy Kumar
Yadav, Seema
Baghel, Jyoti
Kamath, Anusha
Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum
title Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum
title_full Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum
title_fullStr Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum
title_full_unstemmed Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum
title_short Maternal Mortality in the Remote Islands of India—Unraveling the Conundrum
title_sort maternal mortality in the remote islands of india—unraveling the conundrum
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963640/
https://www.ncbi.nlm.nih.gov/pubmed/35360779
http://dx.doi.org/10.4103/jfmpc.jfmpc_1365_21
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