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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
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ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Paper Title: Estimating Maternal Mortality Ratio for the Districts of Tamil Nadu Using a State Based Regression Model
Authors Name: Dr.B.Viswanathan
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IJNRD_182349
Published Paper Id: IJNRD2208015
Published In: Volume 7 Issue 8, August-2022
DOI:
Abstract: Background & Objectives: So far, no study or survey has been conducted to estimate Maternal Mortality Ratio (MMR) at the district level due to huge operating costs and the requirement of large sample sizes as the maternal deaths are being rare events to capture. In this paper, an attempt is made to provide precise, cost effective and timely estimates of MMR at the district level for the State of Tamil Nadu through a State based regression model. The primary objective of this study is to estimate MMR at the district level for the State of Tamil Nadu at three different time points, viz.2001, 2011, and 2017 and compare the levels of MMR over the time periods and identify the districts which have achieved Sustainable Development Goal (SDG) target of less than 70 per 100,000 live births and hotspot districts which require urgent attention. Material &Methods: Data on MMR at the State level published by the Sample Registration System by the Office of the Registrar General of India is regressed on two data elements, viz. General Fertility Rate (GFR) and Crude Death Rate for Women (CDRW) aged 14-49 at three time points, viz.2001, 2011, and 2017 and constructed three regression models. District level estimates of MMR were generated based on the regression models using the district level GFR and CDRW data which were easily calculated from Population Censuses 2001 and 2011and the age specific fertility and mortality rates published by the SRS. Results: The precision level of MMR estimates predicted for the districts are higher as the relative standard errors are almost less than 10% for all the districts and the high predictability (R2) of the regression models. It was identified that already 14 districts in Tamil Nadu have achieved sustainable development goal target of less than 70 per 100,000 live births and another 15 districts are on the threshold of reaching the goal soon. Sustained efforts are essential in the remaining 3 districts to accomplish SDG target. Interpretation & Conclusion: The State based regression model provides a precise, cost effective and timely estimate for all the districts. It requires data only on GFR and CDRW for the districts. Hence, it becomes easier to generate district level estimates, once the state level data on MMR is released by the SRS. The regression models developed has high accuracy and able to identify the hotspot districts which require urgent attention. Even though the State of Tamil Nadu has achieved the SDG target, it is learnt that only14 districts in Tamil Nadu have achieved the SDG target and sustained efforts are required in the remaining 18 districts to achieve the same on time.
Keywords: Maternal Mortality Ratio, Sustainable Development Goal, GFR, CDRW
Cite Article: "Estimating Maternal Mortality Ratio for the Districts of Tamil Nadu Using a State Based Regression Model", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 8, page no.131-139, August-2022, Available :http://www.ijnrd.org/papers/IJNRD2208015.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2208015
Registration ID: 182349
Published In: Volume 7 Issue 8, August-2022
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Page No: 131-139
Country: Chennai, Tamil Nadu, India
Research Area: Health Science 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2208015
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2208015
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ISSN: 2456-4184
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