| Title |
Association between U.S. State AIDS Drug Assistance Program (ADAP) Features and HIV Antiretroviral Therapy Initiation, 2001–2009
|
|---|---|
| Published in |
PLOS ONE, November 2013
|
| DOI | 10.1371/journal.pone.0078952 |
| Pubmed ID | |
| Authors |
David B. Hanna, Kate Buchacz, Kelly A. Gebo, Nancy A. Hessol, Michael A. Horberg, Lisa P. Jacobson, Gregory D. Kirk, Mari M. Kitahata, P. Todd Korthuis, Richard D. Moore, Sonia Napravnik, Pragna Patel, Michael J. Silverberg, Timothy R. Sterling, James H. Willig, Ann Collier, Hasina Samji, Jennifer E. Thorne, Keri N. Althoff, Jeffrey N. Martin, Benigno Rodriguez, Elizabeth A. Stuart, Stephen J. Gange, for the North American AIDS Cohort Collaboration on Research and Design of the International Epidemiologic Databases to Evaluate AIDS |
| Abstract |
U.S. state AIDS Drug Assistance Programs (ADAPs) are federally funded to provide antiretroviral therapy (ART) as the payer of last resort to eligible persons with HIV infection. States differ regarding their financial contributions to and ways of implementing these programs, and it remains unclear how this interstate variability affects HIV treatment outcomes. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 16% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Other | 4 | 13% |
| Professor > Associate Professor | 3 | 10% |
| Other | 5 | 16% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 52% |
| Social Sciences | 3 | 10% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 6 | 19% |