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Predictor of multidrug resistant tuberculosis in southwestern part of Ethiopia: a case control study

Overview of attention for article published in Annals of Clinical Microbiology and Antimicrobials, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 news outlet
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3 X users

Citations

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22 Dimensions

Readers on

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171 Mendeley
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Title
Predictor of multidrug resistant tuberculosis in southwestern part of Ethiopia: a case control study
Published in
Annals of Clinical Microbiology and Antimicrobials, July 2018
DOI 10.1186/s12941-018-0283-8
Pubmed ID
Authors

Dabesa Gobena, Gemechu Ameya, Kinfe Haile, Getaneh Abreha, Yoseph Worku, Tessema Debela

Abstract

Curable disease tuberculosis is becoming incurable or difficult to treat due to drug resistance. Multi drug resistance tuberculosis is a major health problem for less developed countries. Development of drug resistance is mainly as result of man related factors and poor lifestyle. Identifying predictors of drug resistance and working on them is the important way of reducing the expansion in high burden countries. Ethiopia is one of TB, TB/HIV, and multi-drug resistant tuberculosis (MDR-TB) high burden country globally. This study was aimed to assess predictor of MDR-TB in southwest part of Ethiopia. Unmatched case control study was conducted in case to control ratio of 1:1.2 in southwest part of Ethiopia. The cases were recruited from confirmed MDR-TB patient enrolled on second line treatment in Shenen Gibe Hospital (MDR-TB treatment center of the prefecture) and the controls were recruited from previously TB patients who cured or patient with smear negative at the end of treatment month during the study period in the same area. The data was collected by structured questionnaire by interview and logistic regression analyses were used to identify predictors of MDR-TB. Odds ratios with 95% CI were computed to determine the predictors. From the total 132 participants about 45% of them were cases. None disclosed tuberculosis infected to relatives [AOR = 3.4, 95% CI (1.2-9.8)], insufficient instruction on how to take anti-TB drug [AOR = 4.7, 95% CI (1.4-14.6)], contact history with MDR-TB [AOR = 8.5, 95% CI (2.9-25.5)], interruption of first-line anti-TB treatment for at list 1 day [AOR = 7.9, 95% CI (2.5-24.9)], and having alcohol drinking habits [AOR = 5.1, 95% CI (1.4-18.7)] were identified predictors for MDR-TB infection in study area. TB infection disclosure status, insufficient instruction on drug usage, contact history with MDR-TB, interruption of first-line anti-TB drugs, and alcohol drinking habits were identified predictor of MDR-TB case. Therefore, early detection and proper treatment of drug susceptible TB, strengthening directly observed treatment, short-course on daily bases, community involvement, and supporting the patient to intervene identified factors is paramount.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 171 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 18%
Student > Bachelor 16 9%
Researcher 14 8%
Student > Postgraduate 11 6%
Student > Doctoral Student 9 5%
Other 28 16%
Unknown 63 37%
Readers by discipline Count As %
Medicine and Dentistry 33 19%
Nursing and Health Professions 29 17%
Immunology and Microbiology 8 5%
Biochemistry, Genetics and Molecular Biology 7 4%
Social Sciences 5 3%
Other 18 11%
Unknown 71 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 29 November 2023.
All research outputs
#3,054,698
of 24,914,266 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#52
of 666 outputs
Outputs of similar age
#59,017
of 333,794 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#2
of 13 outputs
Altmetric has tracked 24,914,266 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 666 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 92% 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 333,794 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.