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Predictors of loss to follow up among adult clients attending antiretroviral treatment at Karamara general hospital, Jigjiga town, Eastern Ethiopia, 2015: a retrospective cohort study

Overview of attention for article published in BMC Infectious Diseases, June 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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1 X user
wikipedia
1 Wikipedia page

Citations

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37 Dimensions

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144 Mendeley
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Title
Predictors of loss to follow up among adult clients attending antiretroviral treatment at Karamara general hospital, Jigjiga town, Eastern Ethiopia, 2015: a retrospective cohort study
Published in
BMC Infectious Diseases, June 2018
DOI 10.1186/s12879-018-3188-4
Pubmed ID
Authors

Wubareg Seifu, Walid Ali, Beyene Meresa

Abstract

Retention in care and adherence to the treatment is very important for the success of the program while access for treatment is being scaled up. Without more precise data about the rate of loss to follow up as well the characteristics of those who disengage from the treatment appropriate interventions to increase ART adherence cannot be designed and implemented. Therefore the aim of this study was to determine incidence and predictors of loss to follow up among adult ART clients attending in Karamara Hospital, Jigjiga town, Eastern Ethiopia, 2015. An institutional based retrospective cohort study were undertaken among 1439 adult people living with HIV/AIDS and attending ART clinic between September 1, 2007 and September 1, 2014 at Karamara Hospital was undertaken. Loss to follow up was defined as not taking an ART refill for a period of 90 days or longer from the last attendance for refill and not yet classified as 'dead' or 'transferred-out'. A Kaplan-Meier model was used to estimate rate of time to loss to follow up and Cox proportional hazards modeling was used to identify predictors of loss to follow up among ART clients. Of 1439 patients, 830(58.0%) were females in their sex. The mean age of the cohort was 33.5 years with a standard deviation of 9.33. Around 213 (14.8%) patients were defined as LTFU. The incidence rate of loss to follow up in the cohort was 26.6% (95% CI; 18.1-29.6) per 100 person months. Patients with male sex [HR: 2.1CI;(1.3-3.4)], patients whose next appointment weren't recorded [HR: 1.2, 95% CI; (1.12-1.36)] and patients who did not disclose their status to any one [HR: 2.8, 95% CI; (2.22-5.23)] were significantly associated with LTFU in the cox proportional model. Overall, these data suggested that LTFU in this study was high. The ART patients' next appointment should be documented very well and as well the clients should be advised to adhere with treatment program as per the schedule. Defaulter tracing mechanism should be operational and strengthen in the health facility. Effective control measures should be designed for at-risk population such as male patients.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 15%
Lecturer 12 8%
Student > Bachelor 11 8%
Researcher 10 7%
Student > Ph. D. Student 10 7%
Other 16 11%
Unknown 63 44%
Readers by discipline Count As %
Nursing and Health Professions 29 20%
Medicine and Dentistry 28 19%
Biochemistry, Genetics and Molecular Biology 4 3%
Computer Science 3 2%
Agricultural and Biological Sciences 3 2%
Other 10 7%
Unknown 67 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 26 December 2022.
All research outputs
#2,457,694
of 23,420,064 outputs
Outputs from BMC Infectious Diseases
#749
of 7,823 outputs
Outputs of similar age
#52,458
of 328,984 outputs
Outputs of similar age from BMC Infectious Diseases
#19
of 141 outputs
Altmetric has tracked 23,420,064 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 90% 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 328,984 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 83% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.