Downloads: 130 | Views: 279
Research Paper | Gynaecology | India | Volume 8 Issue 7, July 2019 | Popularity: 6.7 / 10
Effective Labour Analgesia by Programmed Labour
Jasvir Kaur, Sunita Lamba, Simmy Chopra, Manish Chopra
Abstract: Objectives: To evaluate the effective labour analgesia by programmed labour protocol and various effects on maternal and fetal outcome. Study Design: It is a prospective Study. Study Area: Department of Obstestrics & Gynaecology, Mata Chanan Devi Hospital, New Delhi, India. Material & Methods: 100 uncomplicated Primi Gravida in active phase of labour were selected and randomized into study and control group of 50 each study group received programmed labour protocol and the control group received conventional labour protocol. Rate of labour progressing, duration of labour, pain relief score, maternal and foetal outcome were studied. Results: The mean rate of cervical dilation was 2.9 + 0.27 cm/hr, which was almost double of the control group. There was marked shortening of all the stage of labour. Average blood loss was comparatively less in the study group.36 % of women had excellant, 48 % of women had moderate and 14 % had mild pain relief. Majority of women in the study group delivered vaginally. No fetal and maternal complications or adverse effects were observed. Conclusion: The programmed labour is simple, easy and effective method for painless and safe delivery.
Keywords: Programmed Labour, Partogram, Pain Relief Score, Labour Analgesia
Edition: Volume 8 Issue 7, July 2019
Pages: 1406 - 1408
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 103 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Comparative Studies, Gynaecology, India, Volume 5 Issue 4, April 2016
Pages: 2213 - 2218The Study of Maternal and Neonatal Outcome of Primary Cesarean Section at Term ? Influence of Labour and Stage
Dr. T. Shobha, Dr. Jyothi
Downloads: 116
Research Paper, Gynaecology, India, Volume 3 Issue 12, December 2014
Pages: 2539 - 2544Role of Partogram in Nulliparas
Rutuja Kolekar, Shivanand M Gundalli, Amit Kolekar, Kaveri Pai