This paper is published in Volume-9, Issue-1, 2023
Area
Obstetrical & Gynaecology Nursing
Author
Saranya S., Saraswathy K., Dr. Latha Venkatesan, Dr. Vijayalakshmi
Org/Univ
Apollo College of Nursing, Chennai, Tamil Nadu, India
Pub. Date
24 January, 2023
Paper ID
V9I1-1146
Publisher
Keywords
GlyFn POC, Preeclampsia, Lumella, Capacity Building Programme

Citationsacebook

IEEE
Saranya S., Saraswathy K., Dr. Latha Venkatesan, Dr. Vijayalakshmi. Effectiveness of capacity building programme on the competency of predicting preeclampsia by using glycosylated fibronectin as a point of care biomarker among staff nurses., International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Saranya S., Saraswathy K., Dr. Latha Venkatesan, Dr. Vijayalakshmi (2023). Effectiveness of capacity building programme on the competency of predicting preeclampsia by using glycosylated fibronectin as a point of care biomarker among staff nurses.. International Journal of Advance Research, Ideas and Innovations in Technology, 9(1) www.IJARIIT.com.

MLA
Saranya S., Saraswathy K., Dr. Latha Venkatesan, Dr. Vijayalakshmi. "Effectiveness of capacity building programme on the competency of predicting preeclampsia by using glycosylated fibronectin as a point of care biomarker among staff nurses.." International Journal of Advance Research, Ideas and Innovations in Technology 9.1 (2023). www.IJARIIT.com.

Abstract

Pre-eclampsia(PE) complicates 2–8% of pregnancies globally, and 9% of maternal deaths are attributed to pre-eclampsia in Africa and Asia 1. The study objective is to evaluate the efficacy of the Capacity Building Programme in Predicting Preeclampsia using Glycosylated Fibronectin as a Point of Care Biomarker (GlyFn POC) among Staff Nurses. Methodology: A pre-experimental design was conducted among 40 staff nurses selected through consecutive sampling techniques at selected hospitals in Chennai. Pretest was conducted using background variables proforma, a Structured questionnaire on predicting preeclampsia by using (GlyFn POC), a checklist to assess the competency on (GlyFn POC) and a rating scale for the level of acceptability on the capacity building programme. The capacity building programme was conducted by lecture cum discussion and demonstration method for 2 hours. Post-test was done one week after the intervention, and knowledge and skills were assessed using the same tool. Results: The mean posttest knowledge scores on (GlyFn POC) were higher (21.87 + 3.87) than the pretest knowledge scores (17.32 + 3.45), significant at p <0.0001. Most of the staff Nurses acquired moderately adequate skills, 65%, in performing tests with the (GlyFn POC) to Predict Preeclampsia. Conclusion: Thus, the training program of the health care provider on the updated test helps them to predict preeclampsia at the earliest and protects the pregnant women from complications