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Insecticide-treated net ownership and utilization and factors that influence their use in Itang, Gambella region, Ethiopia: cross-sectional study

Overview of attention for article published in Risk Management and Healthcare Policy, May 2016
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Title
Insecticide-treated net ownership and utilization and factors that influence their use in Itang, Gambella region, Ethiopia: cross-sectional study
Published in
Risk Management and Healthcare Policy, May 2016
DOI 10.2147/rmhp.s104311
Pubmed ID
Authors

Aklilu Habte Watiro, Worku Awoke

Abstract

Malaria remains a major public health problem in Ethiopia. Consequently, Ethiopia designed the 2011-2015, Malaria Prevention and Control Strategic Plan to fight the vector. It was discovered that most of the studies conducted on the use of insecticide-treated nets (ITNs) were not in line with the strategic plan of the country. This study aimed to assess ITN ownership and utilization, and includes barriers related to its use among the target-area population at household (HH) level. A cross-sectional design was employed in Itang for this study. Data were collected by trained nurses through face-to-face interview and observation. A total of 845 participants were selected through multistage sampling, and the size was determined by using a single-population proportion formula. EPI Info and SPSS was used for analysis, and all necessary statistical association was computed in order to explain the outcome variable through explanatory variables of this study. Among 845 HHs interviewed, 81.7% (690) had at least one ITN, while 52.3% (361) had used the ITN the night preceding the data-collection day. HH awareness of malaria prevention, number of ITNs, family size, number of family members sharing sleeping area/beds, sleeping patterns of adolescents, HH-head age, and inconvenience of using ITNs were found to be barriers to the use of ITNs in this study. The study concluded that very few HHs owned ITNs and there was very low usage of ITNs. In recommendation, the regional health bureau and district health office should consider bigger nets that can accommodate family members who share the same sleeping area/bed in the area.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ghana 1 1%
Australia 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 23%
Student > Bachelor 10 11%
Researcher 9 10%
Student > Postgraduate 6 7%
Student > Ph. D. Student 5 5%
Other 13 14%
Unknown 28 30%
Readers by discipline Count As %
Medicine and Dentistry 23 25%
Nursing and Health Professions 18 20%
Agricultural and Biological Sciences 6 7%
Environmental Science 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 8 9%
Unknown 30 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 June 2016.
All research outputs
#17,806,995
of 22,875,477 outputs
Outputs from Risk Management and Healthcare Policy
#435
of 617 outputs
Outputs of similar age
#204,524
of 298,382 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#9
of 9 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 617 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 298,382 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.