The International Network of Obstetric Survey Systems (INOSS): benefits of multi-country studies of severe and uncommon maternal morbidities
- PMID: 24382256
- DOI: 10.1111/aogs.12316
The International Network of Obstetric Survey Systems (INOSS): benefits of multi-country studies of severe and uncommon maternal morbidities
Abstract
The International Network of Obstetric Survey Systems (INOSS) is a multi-country collaboration formed to facilitate studies of uncommon and severe complications of pregnancy and childbirth. Collaborations such as INOSS offer many benefits in the study of rare complications. The use of uniform case definitions, common datasets, specifically collected detailed data and prospectively agreed comparative and combined analyses all add to the validity of studies and their utility to guide policy and clinical practice and hence improve the quality of care. Such multi-national collaborations allow for the conduct of robust studies less subject to many of the biases attributed to typical observational studies. For very rare conditions such collaborations may provide the only route to providing high quality evidence to guide practice. Clinicians and researchers conducting studies into rare and severe complications should consider working through a network such as INOSS to maximize the value of their research.
Keywords: Severe maternal morbidity; multi-national; network; observational studies; rare complication.
© 2013 Nordic Federation of Societies of Obstetrics and Gynecology.
Similar articles
-
The International Network of Obstetric Survey System.Ceska Gynekol. 2020 Winter;85(2):139-143. Ceska Gynekol. 2020. PMID: 32527109 Review. English.
-
The future of Cochrane Neonatal.Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12. Early Hum Dev. 2020. PMID: 33036834
-
Developing an assessment tool for maternal morbidity 'near-miss'- a prospective study in a large Australian regional hospital.Aust N Z J Obstet Gynaecol. 2011 Oct;51(5):421-5. doi: 10.1111/j.1479-828X.2011.01330.x. Epub 2011 Jul 5. Aust N Z J Obstet Gynaecol. 2011. PMID: 21806590
-
GerOSS (German Obstetric Surveillance System). A Project to Improve the Treatment of Obstetric Rare Diseases and Complications Using a Web Based Documentation and Information Platform.Methods Inf Med. 2015;54(5):406-11. doi: 10.3414/ME14-01-0141. Epub 2015 Jun 12. Methods Inf Med. 2015. PMID: 26065375
-
Systematic review of the magnitude and case fatality ratio for severe maternal morbidity in sub-Saharan Africa between 1995 and 2010.BMC Pregnancy Childbirth. 2011 Sep 28;11:65. doi: 10.1186/1471-2393-11-65. BMC Pregnancy Childbirth. 2011. PMID: 21955698 Free PMC article. Review.
Cited by
-
Thinking on the purposes, roles and activities of networks for research on maternal and perinatal health: opinions of coordinators and members.Rev Bras Ginecol Obstet. 2024 Sep 6;46:e-rbgo75. doi: 10.61622/rbgo/2024rbgo75. eCollection 2024. Rev Bras Ginecol Obstet. 2024. PMID: 39380587 Free PMC article.
-
Infection-related severe maternal outcomes and case fatality rates in 43 low and middle-income countries across the WHO regions: Results from the Global Maternal Sepsis Study (GLOSS).PLOS Glob Public Health. 2024 Apr 25;4(4):e0003109. doi: 10.1371/journal.pgph.0003109. eCollection 2024. PLOS Glob Public Health. 2024. PMID: 38662723 Free PMC article.
-
Characteristics and outcomes of pregnant women hospitalized with severe maternal outcomes in eastern Ethiopia: Results from the Ethiopian Obstetric Surveillance System study.Int J Gynaecol Obstet. 2024 Feb;164(2):714-720. doi: 10.1002/ijgo.15240. Epub 2023 Nov 14. Int J Gynaecol Obstet. 2024. PMID: 37961999 Free PMC article.
-
Variations across Europe in hospitalization and management of pregnant women with SARS-CoV-2 during the initial phase of the pandemic: Multi-national population-based cohort study using the International Network of Obstetric Survey Systems (INOSS).Acta Obstet Gynecol Scand. 2023 Nov;102(11):1521-1530. doi: 10.1111/aogs.14643. Epub 2023 Aug 18. Acta Obstet Gynecol Scand. 2023. PMID: 37594175 Free PMC article.
-
Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity.JACC Adv. 2023 Mar;2(2):100275. doi: 10.1016/j.jacadv.2023.100275. Epub 2023 Mar 22. JACC Adv. 2023. PMID: 37560021 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical