Paper Title

IJSDR - A pre experimental study to asses the effectiveness of Nursing led intervention in terms of knowledge in early detection and prevention of Poly cystic ovarian syndrome

Authors

Nishant paul , Mahima daniel , Sonam Parveen , Mohd. Khalid , Neelam chaudhary

Keywords

Syndrome, hypothesis,gynaecologists,obstetricians,comprehensive,PCOS

Abstract

During the last 10 years there has been increase awareness that the clinical expression on polycystic ovarian syndrome may be broader than define by previous consensus workshop. At the year – 2024 American college of obstetricians and gynecologists annual clinical and scientific meeting highlighted significant gap in polycystic ovarian syndrome (PCOS) care, revealing wide spread patients’ dissatisfaction and the urgent need for improve provider education and comprehensive treatment approaches. The purpose of this study is to explore the relation between genetic and environmental factors that may explain PCOS. We will use information collective during visits to our polycystic ovarian syndrome clinic and the family history of PCOS patient to learn about the causes and the effects of PCOS.

How To Cite

"IJSDR - A pre experimental study to asses the effectiveness of Nursing led intervention in terms of knowledge in early detection and prevention of Poly cystic ovarian syndrome", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a86-a172, March-2025, Available :https://ijsdr.org/papers/IJSDRTH01002.pdf

Issue

Volume 10 Issue 3, March-2025

Pages : a86-a172

Other Publication Details

Paper Reg. ID: IJSDR_300911

Published Paper Id: IJSDRTH01002

Downloads: 000285

Research Area: Health Science All

Country: Dehradun , Uttrakhand, India

Published Paper PDF: https://ijsdr.org/papers/IJSDRTH01002

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDRTH01002

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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