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Analysis of maternal early obstetric warning systems as a indicator of obstetric morbidity

    Author

    • Dr. Vasavi Kolluru, Dr. Aarthi Manoharan, Dr. Vasundhara Kamineni, Dr. Sarada Saranu
,

Document Type : Research Article

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Abstract

To evaluate early maternal warning triggers in the detection of maternal morbidity, by using two types of Early warning systems as a bedside screening tool and comparing their efficacy in routine use. To determine the effectiveness of maternal early warning scoring system as a screening tool for maternal morbidity. To compare the effectiveness of MEOWS chart over MEWT chart as screening tools for maternal morbidity in routine use.
Methods: From September 2019 to October 2021 (two years), a descriptive observational study was conducted at the department of obstetrics and gynecology, Kamineni Academy of Medical College and Research Centre, LB Nagar Hyderabad, India. Women who met the selection criteria for antenatal and postnatal care during the study period and gave their informed consent. 500 study participants were the sample size.
Results: Majority of study participants were in the age group of 21-25 years (45.2%). Mean age of study participants was 25.00 + 4.606 years ranging from 17 to 42 years.MEOWS colour coding and MEWT colour coding were matching in all the 500 cases in screening maternal morbidity (Kappa value of 1.00) and it was found to be statistically significant (P value <0.05).
Conclusion: We discovered that when screening for maternal morbidity, both the MEOWS and MEWT color coding matched in every instance. In order to identify early maternal warning signs by all healthcare professionals and thereby aid in the prevention of obstetric morbidity, we can use MEWT color coding, which is straightforward and simple to use with only 5 components as opposed to MEOWS color coding, which had 7 components.

Keywords

  • maternal
  • obstetric
  • morbidity
  • predictor
  • MEOWS
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European Journal of Molecular & Clinical Medicine
Volume 10, Issue 2 - Issue Serial Number 2
January 2023
Page 1271-1280
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APA

Dr. Sarada Saranu, D. V. K. D. A. M. D. V. K. (2023). Analysis of maternal early obstetric warning systems as a indicator of obstetric morbidity. European Journal of Molecular & Clinical Medicine, 10(2), 1271-1280.

MLA

Dr. Vasavi Kolluru, Dr. Aarthi Manoharan, Dr. Vasundhara Kamineni, Dr. Sarada Saranu. "Analysis of maternal early obstetric warning systems as a indicator of obstetric morbidity". European Journal of Molecular & Clinical Medicine, 10, 2, 2023, 1271-1280.

HARVARD

Dr. Sarada Saranu, D. V. K. D. A. M. D. V. K. (2023). 'Analysis of maternal early obstetric warning systems as a indicator of obstetric morbidity', European Journal of Molecular & Clinical Medicine, 10(2), pp. 1271-1280.

VANCOUVER

Dr. Sarada Saranu, D. V. K. D. A. M. D. V. K. Analysis of maternal early obstetric warning systems as a indicator of obstetric morbidity. European Journal of Molecular & Clinical Medicine, 2023; 10(2): 1271-1280.

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