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1.
AIDS Care ; 32(1): 76-82, 2020 01.
Article in English | MEDLINE | ID: mdl-31129991

ABSTRACT

Re-engaging people living with HIV (PLWH) who are out of care (OOC) is of utmost importance to ending the HIV epidemic in the U.S. We used DC Department of Health (DCDOH) HIV surveillance data to determine whether re-engaging PLWH results in improved long-term clinical outcomes. PLWH identified as OOC for 6-12 months at both the clinic-level and using DCDOH data were targeted for re-engagement efforts through Recapture Blitz (RB). Uni- and bivariate analyses were conducted comparing engagement in care (EIC), CD4 counts, and viral suppression (VS) at 6, 12, and 18-months post-re-engagement between persons re-engaged through RB and those not re-engaged via RB. Of the 569 PLWH contacted; 57 were re-engaged through RB, 46 were not but may have reengaged on their own. Compared to those not re-engaged via RB, at 18-months of follow-up, more PLWH re-engaged through RB were EIC (71.9% vs. 56.5%) and VS (52.6% vs. 30.4%). Higher proportions of PLWH re-engaged through RB were virally suppressed at 6, 12, and 18-months (p = 0.0238, p = 0.0347, p = 0.0238, respectively). Combining surveillance and clinical data to identify persons OOC allowed for successful re-engagement and improved longer-term outcomes post-re-engagement, underscoring the importance of re-engagement efforts to improve rates of retention and viral suppression.


Subject(s)
HIV Infections/transmission , Adult , Ambulatory Care Facilities , CD4 Lymphocyte Count , District of Columbia/epidemiology , Female , HIV Infections/epidemiology , HIV Infections/virology , Humans , Longitudinal Studies , Male , Middle Aged , Viral Load
2.
J Acquir Immune Defic Syndr ; 64 Suppl 1: S33-41, 2013 Nov 01.
Article in English | MEDLINE | ID: mdl-23982662

ABSTRACT

BACKGROUND: The District of Columbia Department of Health funds facilities to provide HIV medical case management (MCM), inclusive of linkage, engagement in care, and treatment adherence support. The objective of this analysis was to identify the differences in the clinical outcomes among HIV-infected persons receiving care at MCM-funded facilities compared with those in nonfunded facilities. METHODS: Newly diagnosed and prevalent HIV-infected persons were identified from the District of Columbia Department of Health surveillance system. Clinical outcomes of interest were linkage, retention in care, and viral suppression. Bivariate analyses and random effects logistic regression were used to examine the differences in demographics and clinical outcomes of persons receiving care at MCM-funded and nonfunded facilities. RESULTS: Among 5631 prevalent cases, 56.7% received care at MCM-funded facilities of which 76.2% were retained in care, and 70.6% achieved viral suppression. Those receiving care in MCM-funded facilities were significantly more likely to be retained in care [adjusted odds ratio (aOR) 4.13; 95% confidence interval (CI): 1.93 to 8.85] and as likely (aOR 1.06; 95% CI: 0.68 to 1.62) to be virally suppressed than persons receiving care in nonfunded facilities. Among 789 newly diagnosed persons, those diagnosed in MCM-funded facilities were not significantly more likely to be linked to care within 3 months (aOR 0.50; 95% CI: 0.21 to 1.18) than those diagnosed in nonfunded facilities. DISCUSSION: This study provides evidence that MCM may be beneficial to HIV-infected persons in DC by improving retention in care. Further identification of the specific services providing the most benefit to clients is needed, including a better understanding of the complex relationship between retention and viral suppression.


Subject(s)
Case Management , Continuity of Patient Care , HIV Infections/drug therapy , HIV Infections/virology , Health Policy , Viral Load , Anti-Retroviral Agents/therapeutic use , CD4 Lymphocyte Count , Case Management/economics , District of Columbia , Female , HIV/drug effects , HIV/physiology , HIV Infections/diagnosis , HIV Infections/epidemiology , Health Policy/economics , Humans , Male , Medication Adherence , Middle Aged , Population Surveillance , Prevalence , Program Evaluation
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