EconPapers    
Economics at your fingertips  
 

A Pre-Experimental Study to Assess the Effectiveness of Structured Teaching Programme on Knowledge and Practices of Partograph Among Staff Nurses of Labour Room Working in Selected Hospital of Dist. Mandi (H.P.), 2024-2025

Kusum Lata and Kirti Verma

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 4, 505-516

Abstract: Introduction: Empowered and healthy motherhood is key to safe pregnancy and childbirth. Prolonged or obstructed labour remains a major cause of maternal morbidity and mortality. The World Health Organization recommends the partograph as an effective tool to monitor labour and reduce maternal deaths. It is widely recognized as the gold standard for labour monitoring. Methodology: A pre-experimental study was conducted to assess the effectiveness of a structured teaching programme on knowledge and practices of partograph among 33 purposively selected staff nurses. Data were collected using a self-structured questionnaire and checklist, and analyzed using descriptive and inferential statistics. Results: Post-intervention results showed a significant improvement in knowledge and practice scores among 33 staff nurses. Good knowledge increased from 75.8% (pretest) to 93.9% (posttest), with mean scores rising from 27.7 to 32.64 (t = 8.235, p

Keywords: Structured teaching programme; knowledge; practice; partograph; pre-experimental study (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST251310 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST251310/IJSRST251310 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i4:id:1035

DOI: 10.32628/IJSRST251310

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().

 
Page updated 2026-07-27
Handle: RePEc:etm:ijsrst:v12:y2025:i4:id:1035