Robson Criteria to Determine the Risk of Cesarean Section in Females Presenting to Sir Ganga Ram Hospital (SGRH), Lahore
Robson Classification and Caesarean Section Rates
DOI:
https://doi.org/10.54393/pjhs.v5i06.1841Keywords:
Caesarean Section, Robson Classification, Pregnancy Outcomes, C-SectionAbstract
Rates of caesareans have increased, resulted in unfavourable outcomes in subsequent pregnancies. Robson categorization enhances standard of care by optimising the use of C-sections and evaluating methods to lower caesarean rates. Objective: To determine the frequency of caesarean section and to determine frequency of Robson 10 group classification system in patients who undergo caesarean. Methods: In this cross-sectional study, 140 pregnant selected via simple random sampling, were enlisted from Gyne department of SGRH, Lahore. According to Robson 10-group categorization those who underwent C-section were divided into ten groups and indication of C-section was studied. Data scrutiny was done using SPSS version 26.0. Mean and SD was used for quantitative variables and frequency for qualitative data. Data were stratified for effect modifiers, p-≤0.05 was taken as significant. Results: Mean age of patients calculated was 31.94 ± 2.14 years. Out of 140, 23.6% had C-section and 76.4% had vaginal delivery. According to class of modified Robson criteria, 12.1% had class 1, 12.1% had class, 2, 21.2% had class 3, 36.4% had class 5, and 3.0% each had class 4, 6, 7, 8, 9, and 10. Conclusions: According to our findings, considerable percentage of C-sections occur with previous C-sections serving as most common indicator. This pattern emphasizes how crucial it is to concentrate on primary preventive techniques in order to lower its rate. Large number of C-sections performed on nulliparous both those in spontaneous labour and those who were not indicates that labour management procedures and decision-making processes need to be closely examined.
References
Hassan IA and Hamza LK. Unique case of a tenth cesarean section in an Emirati woman. Dubai Medical Journal. 2020 Apr; 3(1): 5-7. doi: 10.1159/000505725. DOI: https://doi.org/10.1159/000505725
Boerma T, Ronsmans C, Melesse DY, Barros AJ, Barros FC, Juan L et al. Global epidemiology of use of and disparities in caesarean sections. The Lancet. 2018 Oct; 392(10155): 1341-8. doi: 10.1016/S0140-6736(18)31928-7. DOI: https://doi.org/10.1016/S0140-6736(18)31928-7
Joaquim I, Pereira LN, Nunes C, Mateus C. C-sections and hospital characteristics: A long term analysis on low-risk deliveries. Research in Health Services & Regions. 2022 Dec; 1(1): 15. doi: 10.1007/s43999-022-00014-2. DOI: https://doi.org/10.1007/s43999-022-00014-2
Choudhary D, Saxena N, Gupta V. Trend analysis of caesarean sections using modified Robson's classification in a teaching institution in Uttarakhand. Journal of Family Medicine and Primary Care. 2024 Jun; 13(6): 2278-82. doi: 10.4103/jfmpc.jfmpc_1288_23. DOI: https://doi.org/10.4103/jfmpc.jfmpc_1288_23
Nahar Z, Sohan M, Hossain MJ, Islam MR. Unnecessary Cesarean Section Delivery causes risk to both mother and baby: a commentary on pregnancy complications and women's Health. INQUIRY: The Journal of Health Care Organization, Provision and Financing. 2022 Aug; 59: 00469580221116004. doi: 10.1177/00469580221116004. DOI: https://doi.org/10.1177/00469580221116004
Betran AP, Ye J, Moller AB, Souza JP, Zhang J. Trends and projections of caesarean section rates: global and regional estimates. British Medical Journal global health. 2021 Jun; 6(6): e005671. doi: 10.1136/bmjgh-2021-005671. DOI: https://doi.org/10.1136/bmjgh-2021-005671
Robson MS. Known knowns, unknown unknowns and everything in‐between-the Ten Group Classification System (TGCS). BJOG: An International Journal of Obstetrics & Gynaecology. 2021 Aug; 128(9). doi: 10.1111/1471-0528.16679. DOI: https://doi.org/10.1111/1471-0528.16679
O'Leary BD, Kane DT, Kruseman Aretz N, Geary MP, Malone FD, Hehir MP. Use of the Robson Ten Group Classification System to categorise operative vaginal delivery. Australian and New Zealand Journal of Obstetrics and Gynaecology. 2020 Dec; 60(6): 858-64. doi: 10.1111/ajo.13169. DOI: https://doi.org/10.1111/ajo.13169
Parveen R, Khakwani M, Naz A, Bhatti R. Analysis of cesarean sections using Robson's ten group classification system. Pakistan Journal of Medical Sciences. 2021 Mar; 37(2): 567. doi: 10.12669/pjms.37.2.3823. DOI: https://doi.org/10.12669/pjms.37.2.3823
Savchenko J, Ladfors L, Hjertberg L, Hildebrand E, Brismar Wendel S. A step towards better audit: The Robson Ten Group classification system for outcomes other than cesarean section. Acta Obstetricia Gynecologica Scandinavica. 2022 Jul; 101(7): 827-35. doi: 10.1111/aogs.14350. DOI: https://doi.org/10.1111/aogs.14350
Shinwari L, Bukhari B, Irfan S, Faisal R. Comparison of the rate and indications of caesarean section in primigravida and multigravida in a maternity hospital of Pakistan. q. The Professional Medical Journal. 2024 Jul; 31(07): 1100-5. doi: 10.29309/TPMJ/2024.31.07.7653. DOI: https://doi.org/10.29309/TPMJ/2024.31.07.7653
Kazmi T, Sarva Saiseema V, Khan S. Analysis of Cesarean section rate-according to Robson's 10-group classification. Oman Medical Journal. 2012 Sep; 27(5): 415. doi: 10.5001/omj.2012.102. DOI: https://doi.org/10.5001/omj.2012.102
Ansari A, Baqai S, Imran R. An audit of caesarean section rate using modified Robson criteria at a tertiary care hospital. Journal of College of Physicians and Surgeons Pakistan. 2019 Aug; 29(8): 768-70. doi: 10.29271/jcpsp.2019.08.768. DOI: https://doi.org/10.29271/jcpsp.2019.08.768
Mittal P, Pandey D, Suri J, Bharti R. Trend prediction for cesarean deliveries based on Robson classification system at a tertiary referral unit of North India. The Journal of Obstetrics and Gynecology of India. 2020 Apr; 70: 111-8. doi: 10.1007/s13224-019-01275-7. DOI: https://doi.org/10.1007/s13224-019-01275-7
Gautam P, Karki C, Adhikari A. Robson's Group 2 Criteria among Total Caesarean Sections in a Tertiary Care Hospital: A Descriptive Cross-sectional Study. Journal of the Nepal Medical Association. 2021 Nov; 59(243): 1098. doi: 10.31729/jnma.7138. DOI: https://doi.org/10.31729/jnma.7138
Das A, Agrawal A, Bhandari S, Rajbhandari S, Rimal SP. Analysis of Cesarean Section at a Tertiary care centre in Eastern Nepal according to Robson's Ten Group classification System (TGCS): A hospital based cross sectional study. Birat Journal of Health Sciences. 2020 Dec 30; 5(3): 1171-5. doi: 10.3126/bjhs.v5i3.33688. DOI: https://doi.org/10.3126/bjhs.v5i3.33688
Kant A and Mendiratta S. Classification of cesarean section through Robson criteria: an emerging concept to audit the increasing cesarean section rate. International Journal of Reproduction, Contraception, Obstetrics and Gynecology. 2018 Nov; 7(11): 4674-8. doi: 10.18203/2320-1770.ijrcog20184528. DOI: https://doi.org/10.18203/2320-1770.ijrcog20184528
Yadav RG and Maitra N. Examining cesarean delivery rates using the Robson's ten-group classification. The Journal of Obstetrics and Gynecology of India. 2016 Oct; 66: 1-6. doi: 10.1007/s13224-015-0738-1. DOI: https://doi.org/10.1007/s13224-015-0738-1
Belachew J, Cnattingius S, Mulic‐Lutvica A, Eurenius K, Axelsson O, Wikström AK. Risk of retained placenta in women previously delivered by caesarean section: a population‐based cohort study. BJOG: An International Journal of Obstetrics & Gynaecology. 2014 Jan; 121(2): 224-9. doi: 10.1111/1471-0528.12444. DOI: https://doi.org/10.1111/1471-0528.12444
Tontus HO and Nebioglu S. Improving the caesarean decision by robson classification: a population-based study by 5,323,500 livebirth data. Annals of Global Health. 2020 Aug; 86(1). doi: 10.5334/aogh.2615. DOI: https://doi.org/10.5334/aogh.2615
Shrestha A and Baral G. Robson Ten Group Classification System and fetal distress as the indication for cesarean section. Nepal Journal of Obstetrics and Gynaecology. 2021 Jun; 16(1): 20-30. doi: 10.3126/njog.v16i1.37510. DOI: https://doi.org/10.3126/njog.v16i1.37510
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Pakistan Journal of Health Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open-access journal and all the published articles / items are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. For comments