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Factors associated with treatment delay among newly diagnosed tuberculosis patients in Dessie city and surroundings, Northern Central Ethiopia: a cross-sectional study

Overview of attention for article published in BMC Public Health, July 2018
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Title
Factors associated with treatment delay among newly diagnosed tuberculosis patients in Dessie city and surroundings, Northern Central Ethiopia: a cross-sectional study
Published in
BMC Public Health, July 2018
DOI 10.1186/s12889-018-5823-9
Pubmed ID
Authors

Abdurahaman Seid, Yeshi Metaferia

Abstract

Delayed treatment of tuberculosis (TB) cases increases the risk of death and rate of infection in the community. Early diagnosis and initiation of treatment is essential for effective TB control. The aim of this study was to assess length of delays and analyze predictors of treatment delay of newly diagnosed TB patients. A cross-sectional study was conducted in Dessie city and surroundings from April1, 2016 to January 30, 2017. Fifteen health facilities of study area were selected randomly and 382 adult TB patients were included consecutively. Data were collected using a questionnaire and analyzed using SPSS version 20.0. Delay was analyzed at three levels (patient, health system and total) using median as cut-off. Logistic regression analysis was performed to investigate predictors of delays. A p-value of ≤0.05 at multivariate analysis was considered statistically significant. The median total, patients' and health system's delay was 36 [interquartile range (IQR): 24, 64], 30 (IQR: 15, 60) and 6 (IQR: 4, 8) days, respectively. About 41 and 47% of patients had prolonged patients' and total delay, respectively. Practicing self-medication [adjusted odds ratio (AOR): 3.0; 95% CI: 1.3-5.6], having more than three family member in the household (AOR: 1.6; 95% CI: 1.02-2.50), older age (≥55 years) (AOR: 2.7; 95% CI: 1.27-5.83), being smear negative pulmonary tuberculosis (AOR: 2.3; 95% CI: 1.25-4.21) and extrapulmonary tuberculosis (AOR: 2.3; 95% CI: 1.28-4.07) were independent predictors of patients' delay. Initial visit of general practitioners (AOR: 2.57; 95% CI: 1.43-4.63) and more than one health care visit (AOR: 2.12; 95% CI: 1.30-3.46) were independent predictors of health system's delay. However, patients' delay was shorter among widowed/divorced patients (AOR: 0.3; 95% CI: 0.1-0.8). Lower level of education [illiterate (AOR: 0.42; 95% CI: 0.20-0.92), grade 1-8 (AOR: 0.38; 95% CI: 0.18-0.81)] and diagnosis of TB using a chest X-ray (AOR, 0.32; 95% CI, 0.16-0.68) significantly reduce health system's delay. About half of TB patients delayed beyond 36 days before starting treatment, and the late patient health seeking behavior was the major contributor of total delay. Development and implementation of strategies aimed at addressing identified factors should be recognized in order to reduce TB treatment delay. Further well designed research is needed to explore additional risk factors of delayed treatment.

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The data shown below were collected from the profile of 1 X user 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 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 179 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 12%
Researcher 16 9%
Student > Bachelor 16 9%
Student > Postgraduate 9 5%
Student > Ph. D. Student 9 5%
Other 31 17%
Unknown 77 43%
Readers by discipline Count As %
Medicine and Dentistry 43 24%
Nursing and Health Professions 28 16%
Social Sciences 6 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Agricultural and Biological Sciences 3 2%
Other 14 8%
Unknown 81 45%
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 31 July 2018.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Public Health
#14,502
of 15,466 outputs
Outputs of similar age
#291,099
of 331,844 outputs
Outputs of similar age from BMC Public Health
#312
of 322 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 322 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.