Evidence map›Paper›PMID 29881526›Full record

ArticleElectronic physician2018

Evaluation of reproductive health status among women referring to rural healthcare centers in Neyshabur (Iran) in 2017.

Khosheh Khaleghinezhad, Nourossadat Kariman, Fatemeh Nahidi, Abbas Ebadi, Malihe Nasiri

Abstract read
In one paragraph

Article in Electronic physician, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Khosheh KhaleghinezhadPh.D. Student in Reproductive Health, Student Research Committee, Department of Midwifery and Reproductive Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nourossadat KarimanAssistant Professor, Midwifery and Reproductive Health Research Center, Department of Midwifery and Reproductive Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh NahidiAssistant Professor, Midwifery and Reproductive Health Research Center, Department of Midwifery and Reproductive Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abbas EbadiProfessor, Behavioral Sciences Research Center, Life Style Institute, Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Malihe NasiriAssistant Professor, Department of Biostatics, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReproductive health is one of the most important aspects of life. Moreover, rural women constitute the largest demographic in society who are deprived of health services.

objectiveTo determine the reproductive health needs of rural women of reproductive age.

methodsThis cross-sectional study was conducted on 405 rural women referring to the rural healthcare centers of Neyshabur, Iran, in 2017. The study population was selected through random multistage sampling technique. Data collection was carried out using a standardized questionnaire, evaluating sexual and reproductive health needs. Data analysis was performed using descriptive statistics in SPSS version 17.

resultsAccording to the results, 99.2% and 95.5% of the females received prenatal and postpartum healthcare, respectively. In addition, the rate of cesarean section was 30.25% among the rural women. The contraceptive pill was the most known birth control method (88.9%), whereas coitus interruptus was the most frequently used method (28.5%). Moreover, 59.8% of the rural women married at the age of ≤ 18 years. The most known sexually transmitted disease for these women was HIV/AIDS (81.7%), and just more than half of them had a history of colored vaginal discharge over the past 12 months (56.8%). Furthermore, these women reported 33.1% domestic violence over the past year.

conclusionThe findings of the present study revealed the urgent need for planning programs to improve the reproductive health of rural women.

Indexed as

Reproductive healthRural populationSexual healthWomen’s health

Identifiers

PMID29881526
PMCPMC5984018

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.