Prevalence of unwanted pregnancy in Iranian women: a systematic review and meta-analysis.


Journal

Reproductive health
ISSN: 1742-4755
Titre abrégé: Reprod Health
Pays: England
ID NLM: 101224380

Informations de publication

Date de publication:
04 Sep 2019
Historique:
received: 16 12 2018
accepted: 02 09 2019
entrez: 6 9 2019
pubmed: 6 9 2019
medline: 15 2 2020
Statut: epublish

Résumé

Unwanted pregnancies are considered as one of the most important public health risks. Regarding the importance of the unwanted pregnancy in the country and helping health policy-makers obtain more accurate information on this issue, this study aims to provide a systematic review and meta-analytical on the prevalence of unwanted pregnancies in Iran. The present study was carried out using meta-analysis. Articles related to the topic were obtained through SID, Magiran, Scopus, PubMed, and ScienceDirect and Google Scholar databases from 2001 to 2017, Articles written based on cross-sectional studies were included in the study and other overviews, case-control, cohort, and interventional studies were excluded from the list of articles. Heterogeneity of studies was investigated using I In 23 articles, the prevalence of unwanted pregnancy in Iranian women was 27.9% (95%CI: 24-32.1%). The meta-regression analysis was used in two sample sizes and years of study. It was reported that as the sample size and Years increases, the prevalence of the unwanted pregnancy decrease, this difference was also statistically significant (P = 0.000). Considering that the prevalence of unwanted pregnancy is high in Iran, it is necessary that health policy makers take effective measures to enhance the awareness of couples and public information about the risks of the unwanted pregnancy.

Sections du résumé

BACKGROUND BACKGROUND
Unwanted pregnancies are considered as one of the most important public health risks. Regarding the importance of the unwanted pregnancy in the country and helping health policy-makers obtain more accurate information on this issue, this study aims to provide a systematic review and meta-analytical on the prevalence of unwanted pregnancies in Iran.
METHODS METHODS
The present study was carried out using meta-analysis. Articles related to the topic were obtained through SID, Magiran, Scopus, PubMed, and ScienceDirect and Google Scholar databases from 2001 to 2017, Articles written based on cross-sectional studies were included in the study and other overviews, case-control, cohort, and interventional studies were excluded from the list of articles. Heterogeneity of studies was investigated using I
RESULTS RESULTS
In 23 articles, the prevalence of unwanted pregnancy in Iranian women was 27.9% (95%CI: 24-32.1%). The meta-regression analysis was used in two sample sizes and years of study. It was reported that as the sample size and Years increases, the prevalence of the unwanted pregnancy decrease, this difference was also statistically significant (P = 0.000).
CONCLUSION CONCLUSIONS
Considering that the prevalence of unwanted pregnancy is high in Iran, it is necessary that health policy makers take effective measures to enhance the awareness of couples and public information about the risks of the unwanted pregnancy.

Identifiants

pubmed: 31484563
doi: 10.1186/s12978-019-0804-8
pii: 10.1186/s12978-019-0804-8
pmc: PMC6727578
doi:

Types de publication

Journal Article Review Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

133

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Auteurs

Rostam Jalali (R)

Department of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Masoud Mohammadi (M)

Department of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran. masoud.mohammadi1989@yahoo.com.

Aliakbar Vaisi-Raygani (A)

Department of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Akram Ghobadi (A)

Department of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Nader Salari (N)

Department of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.

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Classifications MeSH