DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20192296

Risk status of pregnant women in rural areas of Belagavi: a cross sectional study

Katherine J. Bernard, Sulakshana Baliga

Abstract


Background: ‘High-risk’ pregnancies account for a significant proportion of perinatal morbidity and mortality worldwide. Simple prenatal scoring systems can be used to assess risk status of pregnancy and inform subsequent management. Their use in rural areas and low-resource settings could be of particular benefit. This study employed pregnancy risk status assessment in one such area of rural India. The objectives of the study were to estimate the prevalence of low, moderate and high-risk pregnancy among women in a rural area of Belagavi and to identify factors associated with high-risk pregnancy status.

Methods: This community-based cross-sectional study was undertaken among 105 pregnant women of all trimesters presenting to antenatal clinics in the Kinaye area of Belagavi, Karnataka, during July 2018. Information on risk factors and socio-demographic details were collected using a questionnaire, and individual risk scores calculated through a scoring system. This was used to estimate prevalence of low, moderate and high-risk status among participants, and subsequently compared against selected variables to identify factors associated with high risk pregnancy status.

Results: Prevalence of high-risk pregnancy among participants was 31.4%, moderate-risk 30.5%, low-risk 29.5% and ‘no risk’ 8.6%. Maternal undernutrition was an important factor associated with high-risk pregnancy.

Conclusions: This study highlights the need for early identification and appropriate management of such cases, in order to prevent adverse perinatal outcomes. The prenatal scoring system used in this study offers a simple method for risk status assessment in pregnant women of all trimesters, suited for use in antenatal clinics in rural areas of India.


Keywords


High-risk pregnancy, Risk status, Scoring system, Prevalence, Rural areas

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References


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