| Title |
Integrated Models of Care for Individuals with Opioid Use Disorder: How Do We Prevent HIV and HCV?
|
|---|---|
| Published in |
Current HIV/AIDS Reports, May 2018
|
| DOI | 10.1007/s11904-018-0396-x |
| Pubmed ID | |
| Authors |
Katherine M. Rich, Joshua Bia, Frederick L. Altice, Judith Feinberg |
| Abstract |
To describe models of integrated and co-located care for opioid use disorder (OUD), hepatitis C (HCV), and HIV. The design and scale-up of multidisciplinary care models that engage, retain, and treat individuals with HIV, HCV, and OUD are critical to preventing continued spread of HIV and HCV. We identified 17 models within primary care (N = 3), HIV specialty care (N = 5), opioid treatment programs (N = 6), transitional clinics (N = 2), and community-based harm reduction programs (N = 1), as well as two emerging models. Key components of such models are the provision of (1) medication-assisted treatment for OUD, (2) HIV and HCV treatment, (3) HIV pre-exposure prophylaxis, and (4) behavioral health services. Research is needed to understand differences in effectiveness between co-located and fully integrated care, combat the deleterious racial and ethnic legacies of the "War on Drugs," and inform the delivery of psychiatric care. Increased access to harm reduction services is crucial. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 16% |
| Student > Master | 17 | 15% |
| Student > Ph. D. Student | 12 | 11% |
| Student > Postgraduate | 10 | 9% |
| Other | 7 | 6% |
| Other | 23 | 20% |
| Unknown | 26 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 29% |
| Social Sciences | 13 | 12% |
| Nursing and Health Professions | 11 | 10% |
| Psychology | 7 | 6% |
| Business, Management and Accounting | 3 | 3% |
| Other | 15 | 13% |
| Unknown | 31 | 27% |
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 11 July 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from Current HIV/AIDS Reports
#414
of 434 outputs
Outputs of similar age
#288,386
of 328,343 outputs
Outputs of similar age from Current HIV/AIDS Reports
#14
of 14 outputs
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