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Skilled delivery service utilization and its association with the establishment of Women’s Health Development Army in Yeky district, South West Ethiopia: a multilevel analysis

Overview of attention for article published in BMC Research Notes, January 2018
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 policy source
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25 Dimensions

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130 Mendeley
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Title
Skilled delivery service utilization and its association with the establishment of Women’s Health Development Army in Yeky district, South West Ethiopia: a multilevel analysis
Published in
BMC Research Notes, January 2018
DOI 10.1186/s13104-018-3140-0
Pubmed ID
Authors

Melese Girmaye Negero, Yifru Berhan Mitike, Abebaw Gebeyehu Worku, Tafesse Lamaro Abota

Abstract

Because of the unacceptably high maternal and perinatal morbidity and mortality, the government of Ethiopia has established health extension program with a community-based network involving health extension workers (HEWs) and a community level women organization which is known as "Women's Health Development Army" (WHDA). Currently, the HEWs and WHDA network is the approach preferred by the government to register pregnant women and encourage them to link in the healthcare system. However, its association with skilled delivery service utilization is not well known. A community-based cross-sectional study was conducted from January to February 2015. Within 380 clusters of WHDA, a total of 748 reproductive-age women who gave birth in 1 year preceding the study, were included using multistage sampling technique. The data were entered into EPI info version 7 statistical software and exported to STATA version 11 for analysis. Multilevel analysis technique was applied to check for an association of selected variables with a utilization of skilled delivery service. About 45% of women have received skilled delivery care. A significant heterogeneity was observed between "Women's Health Development Teams (clusters)" for skilled delivery care service utilization which explains about 62% of the total variation. Individual-level predictors including urban residence [AOR (95% CI) 35.10 (4.62, 266.52)], previous exposure of complications [AOR (95% CI) 3.81 (1.60, 9.08)], at least four ANC visits [AOR (95% CI) 7.44 (1.48, 37.42)] and preference of skilled personnel [AOR (95% CI) 8.11 (2.61, 25.15)] were significantly associated with skilled delivery service use. Among cluster level variables, the distance of clusters within 2 km radius from the nearest health facility was significantly associated [AOR (95% CI) 6.03 (1.92, 18.93)] with skilled delivery service utilization. In this study, significant variation among clusters of WHDA was observed. Both individual and cluster level variables were identified to predict skilled delivery service utilization. Encouraging women to have frequent ANC visits (- 4 and above), enhancing awareness creation towards the delivery care attendance, constructing more health facilities and roads in hard to reach areas and establishing telemedicine services are recommended.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 26%
Researcher 14 11%
Student > Ph. D. Student 9 7%
Student > Bachelor 7 5%
Student > Doctoral Student 5 4%
Other 17 13%
Unknown 44 34%
Readers by discipline Count As %
Nursing and Health Professions 30 23%
Medicine and Dentistry 17 13%
Economics, Econometrics and Finance 6 5%
Social Sciences 5 4%
Agricultural and Biological Sciences 4 3%
Other 19 15%
Unknown 49 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 December 2020.
All research outputs
#7,541,419
of 23,671,454 outputs
Outputs from BMC Research Notes
#1,194
of 4,306 outputs
Outputs of similar age
#151,638
of 443,355 outputs
Outputs of similar age from BMC Research Notes
#34
of 130 outputs
Altmetric has tracked 23,671,454 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 443,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.