Evidence map›Paper›PMID 35295677›Full record

ArticleFrontiers in global women's health2022

Magnitude, Trends, and Determinants of Institutional Delivery Among Reproductive Age Women in Kersa Health and Demographic Surveillance System Site, Eastern Ethiopia: A Multilevel Analysis.

Temam Beshir Raru, Galana Mamo Ayana, Mohammed Yuya, Bedasa Taye Merga, Mohammed Abdurke Kure, Belay Negash, Abdi Birhanu, Addisu Alemu, Yadeta Dessie, Merga Dheresa

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Institutional Delivery in the Philippines: Does a Minimum of 8 Antenatal Care Visits Matter?Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025
    Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Temam Beshir RaruSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Galana Mamo AyanaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Mohammed YuyaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Bedasa Taye MergaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Mohammed Abdurke KureSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Belay NegashSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Abdi BirhanuSchool of Medicine, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Addisu AlemuSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Yadeta DessieSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Merga DheresaSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Institutional delivery service utilization is a critical and proven intervention for reducing maternal and neonatal mortality. Institutional delivery service utilization can improve maternal health and wellbeing by ensuring safe delivery and reducing problems occurring during childbirth. In Ethiopia, almost all previous researches were cross-sectional studies and most of them were based on small sample sizes and there are no sufficient reports for the trends. Therefore, this study aimed to assess the magnitude, trends, and determinants of institutional delivery using surveillance data from the Kersa Health and Demographic Surveillance System (HDSS), in Eastern Ethiopia from 2015 to 2020. Methods: The study was conducted among reproductive-aged women selected from the Kersa HDSS site, Eastern Ethiopia for the duration of 2015 to 2020. Data were extracted from the Kersa HDSS database system. After coding and recoding, the data was exported to R software for further analysis. A chi-squared test was used for trends to examine the significance of the change. A multilevel logistic regression model was fitted to identify determinants of institutional delivery. An adjusted odds ratio with a 95% confidence interval (CI) was used to measure the strength of the associations. Statistical significance was declared at a Results: A total of 20,033 reproductive age women were employed for analysis. The overall magnitude of institutional delivery was 45.03% with 95% CI (44.33-45.72). The institutional delivery has shown a decreasing trend over the 6 years' and there is statistical significance for the declining. Semi-urban resident [AOR = 2.33, 95% CI: 1.37-4.48], urban resident [AOR = 7.18, 95% CI: 5.24, 8.71], read and write [AOR = 1.54, 95% CI: 1.18, 2.01], literate [AOR = 1.46, 95% CI: 1.34-1.59], and antenatal care [AOR = 1.73, 95% CI: 1.58-1.88] were significantly associated with institutional delivery. Conclusion: The magnitude of institutional delivery was relatively low and has shown a decreasing trend. Community-based interventions should be strengthened to reverse the decreasing trend of institutional delivery. Targeted information dissemination and communication should be provided to those mothers who have no formal education and attention should be given to rural residents.

Indexed as

Eastern Ethiopiainstitutional deliveryKersa HDSSreproductive aged womentrends

Identifiers

PMID35295677
PMCPMC8918653

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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.