(2017) Investigating the Prevalence of Preterm Birth in Iranian Population: A Systematic Review and Meta-Analysis. Journal of caring sciences. pp. 371-380. ISSN 2251-9920 (Print) 2251-9920 (Linking)
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Abstract
Introduction: Despite medical advances, preterm delivery remains a global problem in developed and developing countries. The present study was aimed at conducting a systematic review and meta-analysis of studies on the prevalence of preterm delivery in Iran. Methods: This study was carried out on studies conducted in Iran by searching databases of SID, Magiran, Irandoc, MEDLIB, Iranmedex, PubMed, Web of science, Google Scholar and Scopus. The search was conducted using advanced search and keywords of preterm delivery and equivalents of it in Mesh and their Farsi's Synonymous in all articles from 2000-2016.After extracting the data, the data were combined using a random model. Heterogeneity of the studies was assessed using Q test I2 index and the data were analyzed using STATA Ver.11 software. Results: The total number of samples in this study was 41773. In 19 reviewed articles, the overall prevalence of preterm delivery, based on the random effects model, was estimated to be a total of 10 (95 CI, 9-12). The lowest prevalence of preterm labor was 5.4 in Bam and the highest prevalence was 19.85 in Tehran. There was no significant difference between the prevalence of preterm delivery compared to year of study and sample size. Conclusion: This study reviewed the findings of previous studies and showed that preterm delivery is a relatively prevalent problem in Iran. Therefore, adopting appropriate interventions in many cases including life skills training, self-care and increasing pregnancy care to reduce these consequences and their following complications in high risk patients seem necessary.
Item Type: | Article | ||||||||||||
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Keywords: | Iran Meta- analysis Preterm birth Prevalence | ||||||||||||
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Page Range: | pp. 371-380 | ||||||||||||
Journal or Publication Title: | Journal of caring sciences | ||||||||||||
Journal Index: | Pubmed | ||||||||||||
Volume: | 6 | ||||||||||||
Number: | 4 | ||||||||||||
Identification Number: | https://doi.org/10.15171/jcs.2017.035 | ||||||||||||
ISSN: | 2251-9920 (Print) 2251-9920 (Linking) | ||||||||||||
Depositing User: | مهندس مهدی شریفی | ||||||||||||
URI: | http://eprints.medilam.ac.ir/id/eprint/1000 |
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