Leonard Pickett
Biographic Data
| ID | 6058965 |
|---|---|
| NAME | Leonard Pickett |
| GIVEN NAMES | Leonard |
| FAMILY NAME | Pickett |
| SIGNATURE | PICKETT L |
| AFFILIATIONS | New York City Department of Health and Mental Hygiene |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Health department-HIV clinic integration of data and human resources to re-engage out of care HIV-positive persons into clinical care in a New York City locale
We describe an enhanced data to care (eD2C) initiative combining New York City (NYC) Department of Health and Mental Hygiene (DOHMH) HIV surveillance data and a collaborating HIV clinic records to identify and re-engage into care persons living with HIV (PLWH), and presumed to be out of care (OOC). DOHMH identified presumed-OOC persons who lacked recent HIV-related laboratory test reports (e.g., viral load, CD4) in the NYC surveillance registry, …
Sociodemographic Differences in Clients Preferring Video-Call Over In-person Interview
The Effect of HIV Field-Based Testing on the Proportion of Notified Partners Who Test for HIV in New York City
HIV partner services can effectively reach populations with high HIV prevalence. However, located and notified sex and needle-sharing partners of persons infected with HIV often fail to test. Field testing may increase the proportion of notified partners who test for HIV. In 2008, New York City's health department incorporated field testing into partner services. After the introduction of field testing, the proportion of notified partners who tes…
Overstating Social Networks' Ability to Diagnose New Cases of Hiv
Kimbrough et al.1 describe a peer-driven, network-oriented strategy as highly efficient for HIV case finding. The study found a 5.6% prevalence rate among tested participants, but did not discuss the possibility that some of these positives may be repeat testers. Our experience in New York City shows that partners and network associates with known HIV diagnoses may not always disclose their HIV status to testers. In 2008, New York City's Departme…
No prominent works on this page.
Overstating Social Networks' Ability to Diagnose New Cases of Hiv
Kimbrough et al.1 describe a peer-driven, network-oriented strategy as highly efficient for HIV case finding. The study found a 5.6% prevalence rate among tested participants, but did not discuss the possibility that some of these positives may be repeat testers. Our experience in New York City shows that partners and network associates with known HIV diagnoses may not always disclose their HIV status to testers. In 2008, New York City's Departme…
The Effect of HIV Field-Based Testing on the Proportion of Notified Partners Who Test for HIV in New York City
HIV partner services can effectively reach populations with high HIV prevalence. However, located and notified sex and needle-sharing partners of persons infected with HIV often fail to test. Field testing may increase the proportion of notified partners who test for HIV. In 2008, New York City's health department incorporated field testing into partner services. After the introduction of field testing, the proportion of notified partners who tes…
Sociodemographic Differences in Clients Preferring Video-Call Over In-person Interview
Health department-HIV clinic integration of data and human resources to re-engage out of care HIV-positive persons into clinical care in a New York City locale
We describe an enhanced data to care (eD2C) initiative combining New York City (NYC) Department of Health and Mental Hygiene (DOHMH) HIV surveillance data and a collaborating HIV clinic records to identify and re-engage into care persons living with HIV (PLWH), and presumed to be out of care (OOC). DOHMH identified presumed-OOC persons who lacked recent HIV-related laboratory test reports (e.g., viral load, CD4) in the NYC surveillance registry, …
Family medicine (4 works) · HIV/AIDS Research and Interventions (4 works) · Medicine (4 works) · HIV, Drug Use, Sexual Risk (3 works) · Nursing (3 works) · Public health (3 works) · Sex work and related issues (3 works) · Demography (2 works) · Environmental health (2 works) · Gerontology (2 works)