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The HCV care continuum among people who use drugs: protocol for a systematic review and meta-analysis

Overview of attention for article published in Systematic Reviews, July 2016
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Title
The HCV care continuum among people who use drugs: protocol for a systematic review and meta-analysis
Published in
Systematic Reviews, July 2016
DOI 10.1186/s13643-016-0293-6
Pubmed ID
Authors

Jennifer R. Reed, Ashly E. Jordan, David C. Perlman, Daniel J. Smith, Holly Hagan

Abstract

The diagnosis, management, and treatment for hepatitis C virus (HCV) infection (the "HCV care continuum") have improved in recent years. People who use drugs (PWUD) have a prevalence of HCV infection from 30 to 70 %, yet rates of testing, engagement in care, and treatment for HCV are disproportionately low compared to other populations. Delineating the progression of PWUD through the steps in the HCV care continuum in the USA is important in informing efforts to improve HCV outcomes among PWUD. Scientific databases will be searched using a comprehensive automated search strategy; gray literature and reference lists will be manually searched. Eligible reports will provide original research data related to the HCV care continuum in the USA including proportions of PWUD engaging in the following discrete steps: screening/testing, engagement in care (including receiving an HCV clinical assessment), treatment initiation and completion, and rates of those with successful HCV treatment. A quality-rating tool will be developed to ascertain the level of bias (including selection bias) in each report, and a quality score will be assigned to each eligible report. A tool adapted from the Pragmatic Explanatory Continuum Indicator Summary-2 instrument will be developed to assess the extent to which an included report reflects an effectiveness or efficacy study design. Pooled estimates and measures of association will be calculated using random effects models, and heterogeneity will be assessed at each stage of data synthesis. Through this review, we hope to quantify the proportion of PWUD at each progressive step and to help identify key individual, social, and structural points of leakage in the HCV care continuum for PWUD. In meeting these objectives, we will identify predictors to progress along the HCV care continuum, which can be used to inform policy to directly improve HCV care for PWUD. PROSPERO CRD42016034113.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 22%
Student > Master 9 11%
Student > Doctoral Student 8 10%
Student > Ph. D. Student 6 7%
Student > Bachelor 5 6%
Other 15 18%
Unknown 21 26%
Readers by discipline Count As %
Medicine and Dentistry 24 29%
Nursing and Health Professions 9 11%
Social Sciences 4 5%
Mathematics 3 4%
Arts and Humanities 3 4%
Other 13 16%
Unknown 26 32%
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 15 July 2016.
All research outputs
#15,380,162
of 22,880,691 outputs
Outputs from Systematic Reviews
#1,591
of 2,000 outputs
Outputs of similar age
#226,142
of 354,317 outputs
Outputs of similar age from Systematic Reviews
#23
of 26 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 14th percentile – i.e., 14% 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 354,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.