Literature DB >> 35734357

A Systematic Review of Antenatal Risk Scoring Systems in India to Predict Adverse Neonatal Outcomes.

Dinesh Raj Pallepogula1, Adhisivam Bethou1, Vishnu Bhat Ballambatu2, Gowri Dorairajan3, Ganesh Kumar Saya4, Sureshkumar Kamalakannan5, Sandhya Karra6.   

Abstract

Background: The purpose of antenatal care (ANC) is to identify 'at-risk' pregnant women, to provide quality care for all, and maximize the allocation of resources for those who need them the most. To address the synergistic effect of risk factors, clinicians across the globe developed antenatal scoring systems. Objective: This review aims to investigate various antenatal risk scoring systems developed and used in India to predict adverse neonatal outcome.
Methods: We reviewed articles published between January 2000 and April 2020, which have either developed a scoring system or used a scoring system, among the Indian population. This systematic review is reported based on Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Prediction model study Risk Of Bias Assessment Tool (PROBAST) was employed for the assessment of the quality of included studies. Data sources such as Embase, MEDLINE/Pubmed, APA PsycExtra, PsycINFO, CINHAL Plus, Cochrane Library, IndMED, LILACS, Scopus, WHO Reproductive Health Library and Web of science were searched.
Results: An initial search retrieved a total of 6246 articles. This systematic review identified six studies, of which one study developed an antenatal scoring system and the other five studies used two antenatal systems for predicting adverse neonatal outcome. The study which developed a risk scoring system had a high risk of bias (ROB) and concern for applicability. The overall sensitivity of the antenatal scoring system was high (77.4%), but the specificity was low (45%). Similarly, the positive predictive value is low (15.3%), and the negative predictive value is high (94.2%). A meta-analysis was not conducted due to the heterogeneity of the studies and insufficient data. Conclusions: There is a need for a systematically developed antenatal scoring system for India. Such scoring systems can be promising in public health, proposing a paradigm shift in the implementation of effective mother and child health programmes locally as well as nationally. Supplementary Information: The online version contains supplementary material available at 10.1007/s13224-021-01484-z. © Federation of Obstetric & Gynecological Societies of India 2021.

Entities:  

Keywords:  Antenatal risk scoring; High-risk pregnancy; India; Risk score development; Systematic review

Year:  2021        PMID: 35734357      PMCID: PMC9207162          DOI: 10.1007/s13224-021-01484-z

Source DB:  PubMed          Journal:  J Obstet Gynaecol India        ISSN: 0975-6434


  19 in total

1.  A weighted risk index for antenatal prediction of perinatal outcome.

Authors:  Jorge L Gomez; Bruce K Young
Journal:  J Perinat Med       Date:  2002       Impact factor: 1.901

2.  The role of standardized risk assessment in the provision of prenatal care.

Authors:  I J Parboosingh
Journal:  Can Fam Physician       Date:  1986-10       Impact factor: 3.275

3.  Antepartum identification of the fetus at risk.

Authors:  J W Goodwin; J T Dunne; B W Thomas
Journal:  Can Med Assoc J       Date:  1969-10-18       Impact factor: 8.262

4.  Rethinking risk.

Authors:  P F Hall
Journal:  Can Fam Physician       Date:  1994-07       Impact factor: 3.275

5.  Problems and pitfalls of risk assessment in antenatal care.

Authors:  R J Lilford; T Chard
Journal:  Br J Obstet Gynaecol       Date:  1983-06

6.  Perinatal mortality and antepartum risk scoring.

Authors:  I Morrison; J Olsen
Journal:  Obstet Gynecol       Date:  1979-03       Impact factor: 7.661

7.  Antepartum risk score predicts adverse birth outcomes.

Authors:  Igor Burstyn
Journal:  J Obstet Gynaecol Can       Date:  2010-01

8.  Rayyan-a web and mobile app for systematic reviews.

Authors:  Mourad Ouzzani; Hossam Hammady; Zbys Fedorowicz; Ahmed Elmagarmid
Journal:  Syst Rev       Date:  2016-12-05

9.  Sensitivity, Specificity, and Predictive Values: Foundations, Pliabilities, and Pitfalls in Research and Practice.

Authors:  Robert Trevethan
Journal:  Front Public Health       Date:  2017-11-20

10.  A longitudinal study on high risk pregnancy and its outcome among antenatal women attending rural primary health centre in Puducherry, South India.

Authors:  Marie Gilbert Majella; Gokul Sarveswaran; Yuvaraj Krishnamoorthy; K Sivaranjini; Kalaiselvy Arikrishnan; S Ganesh Kumar
Journal:  J Educ Health Promot       Date:  2019-01-29
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