| Title |
Influence of Substance Use Disorders on 2-Year HIV Care Retention in the United States
|
|---|---|
| Published in |
AIDS and Behavior, June 2017
|
| DOI | 10.1007/s10461-017-1826-2 |
| Pubmed ID | |
| Authors |
Bryan Hartzler, Julia C. Dombrowski, Jason R. Williams, Heidi M. Crane, Joseph J. Eron, Elvin H. Geng, Christopher Mathews, Kenneth H. Mayer, Richard D. Moore, Michael J. Mugavero, Sonia Napravnik, Benigno Rodriguez, Dennis M. Donovan |
| Abstract |
Substance use disorders (SUDs) are thought to predict care discontinuity, though magnitude and substance-specific variance of effects are unclear. This report of analytic work undertaken with a multi-regional American cohort of 9153 care enrollees addresses these gaps. Care retention was computed from 24-month post-linkage clinic visit documentation, with SUD cases identified from patient-report screening instruments. Two generalized estimating equations tested binary and hierarchial SUD predictors of retention, and potential effect modification by patient age-group, sex, and care site. Findings demonstrate: (1) detrimental SUD effect, equivalent to a nine percentage-point decrease in retention, with independent effects of age-group and care site; (2) substance-specific effect of marijuana UD associated with lower retention; and (3) age-modification of each effect on care discontinuity, with SUDs serving as a risk factor among 18-29 year-olds and protective factor among 60+ year-olds. Collective findings document patient attributes as influences that place particular subgroups at-risk to discontinue care. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Researcher | 7 | 13% |
| Student > Ph. D. Student | 7 | 13% |
| Professor | 6 | 12% |
| Student > Doctoral Student | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 14 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 19% |
| Nursing and Health Professions | 9 | 17% |
| Medicine and Dentistry | 7 | 13% |
| Social Sciences | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 18 | 35% |
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 13 July 2017.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from AIDS and Behavior
#2,535
of 3,566 outputs
Outputs of similar age
#201,617
of 319,332 outputs
Outputs of similar age from AIDS and Behavior
#62
of 84 outputs
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