Biopsychosocial Wellbeing of High-Risk Pregnant Women: A Descriptive Study
Introduction: According to a recent study in India, perinatal mortality and morbidity score is high and high-risk is one of the most leading cause. All the antenatal women should be assessed for the risk factors like maternal age, reproductive history, the previous still birth, neonatal deaths, congenital anomalies, grand multiparty, anaemia, previous preterm, preeclampsia, previous caesarean, Rh-isoimmunisation, ABO incompatibility, medical diseases like diabetes, renal diseases, pulmonary diseases, family history of diabetes, hypertension and congenital malformations.
Aim: The present study aimed to determine the biopsychosocial wellbeing and find out relation between biological, psychological and social wellbeing of high-risk pregnant women.
Material and Methods: This study utilized a survey approach with a descriptive study design and was conducted in selected private hospitals in Udupi district, Karnataka. A total of 303 women with high-risk pregnancy after 28 weeks of gestation, attending Obstetrics and Gynaecology OPDs and who were admitted in the antenatal wards, were selected by using non- probability purposive sampling technique. Descriptive (Frequency and percentage) and Inferential statistics (Spearman’s ρ) was used to analyse the data.
Result: The prevalence of low biological wellbeing was found to be 161 (53.1%), low psychological wellbeing 148 (48.8%), high psychological wellbeing, low social wellbeing 172(56.76%) among 303 high-risk pregnant women more than 28 weeks of gestation. There was statistically significant relationship between biological and psychological wellbeing (Spearman ρ=0.56, p=< 0.000): biological and social wellbeing (Spearman’s ρ=0.245, p=<0.000); social and psychological wellbeing (Spearman ρ=0.391, p=<0.000).
Conclusion: The present study concluded that majority of high-risk pregnant women had low bio-psychosocial wellbeing and had significant relation in between biological, psychological and social wellbeing which may help health care workers to contribute a need-based quality care and help to improve the outcome of pregnancy.
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