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in+care Campaign Meet the Author May 30, 2013
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Welcome & Introductions
Michael Hager, MPH MA NQC Manager, in+care Campaign Manager New York, NY Tim Minniear, MD Research Associate Infectious Diseases Department St. Jude Children’s Research Hospital Memphis, TN In the chat room, Enter your: 1. name, 2. agency, 3. city/state, and 4. professional role at agency
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Agenda Welcome & Introductions, 5min
Delayed Entry Into and Failure to Remain In Care Among HIV-Infected Adolescents, 30min Background Population and Methods Results Conclusions Translating Research into Practice Updates & Reminders, 5min Q & A Session, 20min
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Delayed Entry into and Failure to Remain in HIV Care Among HIV-Infected Adolescents
TD Minniear, AH Gaur, A Thridandapani, C Sinnock, EA Tolley, and PM Flynn. AIDS Research and Human Retroviruses. January 2013, 29(1): doi: /aid
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Disclosures I have no conflicts of interest to disclose.
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BACKGROUND
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Four Components of Engagement
Linkage Retention Learn of HIV Positive Status Enter Health Care Services Utilize HIV Care Services Adhere to Medical Instructions Cheever. CID 2007 Horstmann et al. CID 2010
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The HIV/AIDS Epidemic in the USA
1.2 Million People Living with HIV 25% Unaware of Diagnosis Includes 20-30,000 adolescents ~ 26,000 new infections annually 900,000 Aware of Diagnosis 33% Not Linked into Care 600,000 Linked to Care 33% Fall out of Care 400,000 Actively Engaged Del Rico et al. CROI 2001, Marks et al. AIDS 2006 Hall et al. JAMA 2008, Campsmith et al. JAIDS 2010
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The HIV/AIDS Epidemic in the USA
600,000 People Living with HIV Not Yet Engaged in Care 200,000 People Living with HIV Inadequately Engaged Take Home Point: 2/3rds of All People Living with HIV in the United States Are NOT Adequately Engaged in Care
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Primary Study Objectives
Identify factors associated with delaying entry into care (DEC) after diagnosis of HIV infection. Identify factors associated with falling to remain in care (FRC) after initial engagement.
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POPULATION & METHODS
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Population & Methods Adolescents (13-21 years of age)
Infected via High-Risk Behavior Diagnosed between 1996 and 2010 Exclusions: Diagnosed during pregnancy Transferred in from another clinic Large, urban comprehensive HIV clinic Memphis, Tennessee, USA 650,000 people 64% Minority (61% African-American, 3% Hispanic) 21% live below the poverty level
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Definition of Outcomes
Delayed Entry into HIV Care Lag >60 days from diagnosis to first kept appointment at the adolescent HIV clinic Centers for Disease Control & Prevention’s Strategic Plan Standard of care for outreach at our institution Failing to Remain in HIV Care Not returning to clinic ≥6 months and missing at least 1 scheduled visit After engaging in care for at least 1 year (making 1 visit in each quarter)
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Definition of Outcomes
Failing to Remain in HIV Care Not returning to clinic ≥6 months and missing at least 1 scheduled visit S NS S OUT 3 Months 3 Months 3 Months 3 Months S NS NS S IN 3 Months 1 1 1 S S IN 6 Months 3 Months 3 Months S: Show; NS: No Show
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Descriptive statistics Univariate analysis
Statistical Analysis Descriptive statistics Univariate analysis Student’s t-test, Wilcoxon rank sum, chi-square as appropriate Multivariate log-linear regression Analyses performed with SAS (Cary, North Carolina, USA)
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Statistical Analysis Multivariable Model
Analyzed each outcome separately Included all factors with significance <0.15 Forced gender into the FRC model in order to adjust for the greater likelihood of a female having custody of a child Estimated adjusted relative risks (rather than odds ratios) using a log-linear regression and assuming a Poisson distribution (GENMOD)
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RESULTS
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Case Assignment
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No correlation between DEC & FRC
38% (76/202) delayed entry into care 30% (53/178) failed to remain engaged coefficient = (p=0.93)
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Baseline Characteristics Delayed Entry into Care (N = 202)
Delayed Entry (n = 76) Prompt Entry (n = 126) P value Race, Black 71 (93%) 121 (96%) 0.41 Self-Identified Sexual Orientation Male, bisexual Male, heterosexual Male, homosexual Female, heterosexual 7 ( 9%) 10 (13%) 29 (38%) 30 (39%) 6 ( 5%) 22 (17%) 52 (41%) 46 (37%) 0.52 Baseline Age (years) Mean (sd) 18.6 (1.5) 18.4 (1.8) 0.43 Clinical Stage A B C 62 (82%) 9 (12%) 5 (6.6%) 107 (85%) 8 (6.4%) 11 (8.7%) 0.36 Distance from Clinic (miles) Median (IQR) 7.7 ( ) 9.5 ( ) 0.45
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Factors Associated with Delaying Entry into HIV Care
Prompt Entry (n = 126) Delayed Entry (n = 76) Unadjusted RR (95%-CI) Adjusted RRa Unstable Residence 30 (39%) 29 (23%) 1.6 (1.1–2.2) 1.5 (1.0–2.1) No Supervising Adult 31 (41%) 36 (29%) 1.4 (1.0–2.0) 1.2 (0.9–1.8) Education High School Drop Out High School Student High School Graduate College Student 33 (43%) 13 (17%) 15 (20%) 59 (47%) 34 (27%) 25 (20%) 8 ( 6%) 0.6 (0.4–0.8) 0.4 (0.2–0.7) 0.6 (0.3–0.9) Reference 0.4 (0.3–0.7) 0.5 (0.3–0.9) Residing within 5 Miles of the HIV Clinic 23 (30%) 19 (15%) 1.7 (1.2–2.4) 1.7 (1.2–2.5) a Relative risk was adjusted for unstable residence, living alone, education, and distance from clinic.
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Baseline Characteristics Failed to Remain in Care (N = 177)
Failed to Remain (n = 52) Remained (n = 125) P value Race, Black 50 (96%) 118 (94%) 0.63 Self-Identified Sexual Orientation Male, bisexual Male, heterosexual Male, homosexual Female, heterosexual 2 ( 4%) 12 (23%) 18 (35%) 20 (38%) 8 ( 6%) 17 (14%) 52 (42%) 48 (38%) 0.41 Baseline Age (years) Mean (sd) 18.6 (2) 18.4 (1.6) Clinical Stage A B C 44 (85%) 5 (9%) 3 (6%) 100 (80%) 12 (10%) 13 (10%) 0.59 Distance from Clinic (miles) Median (IQR) 8.9 ( ) 9.2 ( ) 0.98
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HIV Disease Characteristics Failed to Remain in Care (N = 177)
Failed to Remain (n = 52) Remained (n = 125) P value Baseline CD4 441 (240) 431 (237) 0.80 Most Recent CD4 549 (266) 595 (274) 0.31 Most Recent CD4% 28 (8.9) 30 (11) 0.34 Change in CD4 109 (210) 164 (304) 0.23 Baseline HIV Log Viral Load 9.3 (2.6) 9.8 (2.6) 0.28 Most Recent HIV Log Viral Load 7.1 (3.3) 5.5 (3.6) 0.006 Reduction in HIV Log Viral Load 2.4 (3.5) 4.4 (4.4) 0.004 Values Presented as Mean (sd)
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Factors Associated with Falling out of HIV Care (N = 177)
Failed to Remain (n = 52) Remained (n = 125) Unadjusted RR (95%-CI) Adjusted RRa (95%-CI) Insurance No Insurance Public Private 23 (44%) 25 (48%) 4 (16%) 28 (22%) 76 (61%) 21 (17%) 2.8 (1.1–7.3) 1.5 (0.6–4.0) Reference 2.8 (1.1–6.9) 1.2 (0.5–3.2) Custody of a Child 11 (21%) 11 (8.8%) 1.9 (1.2–3.1) 1.8 (1.0–3.1) Education High School Drop Out High School Student High School Graduate College Student 29 (56%) 12 (23%) 9 (17%) 2 ( 4%) 53 (42%) 27 (22%) 18 (14%) 3.5 (0.9–13.6) 3.1 (0.8–12.4) 2.5 (0.6–10.5) 4.0 (1.1–15) 4.5 (1.2–17.5) 3.0 (0.8–12.0) a Relative risk was adjusted for insurance status, custody of a child, gender, and education.
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CONCLUSIONS
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Delay does not predict falling out
Adolescents who delayed entering care did not necessarily later fall out of care. The only predictor in common between delayed entry and failing to remain in care was education (in opposite directions). However, each had at least one possible surrogate for poor socioeconomic status.
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Free access and transportation do not guarantee attendance
Despite the close proximity to the HIV clinic and despite free, non-stigmatized transportation, adolescents and young adults living closest to the clinic were at greater risk for delaying entry into HIV care.
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Free access and transportation do not guarantee attendance
Despite the fact that our clinic does never charges a patient and we help obtain Ryan White assistance for qualifying patients, not having insurance was associated with failing to remain in care.
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Free access and transportation do not guarantee attendance
We did not have objective measures of socioeconomic status for our patients. Both residing within 5 miles of the clinic and lack of insurance could be surrogates for low socioeconomic status. Covering the costs of care and transportation is not sufficient to overcome the barriers intrinsic to living in a low socioeconomic strata.
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The perplexing effect of education
Youth in college were more likely to delay entry into HIV care than youth with any lower level of education. In contrast, once finally engaged, youth in college were more likely to remain engaged in HIV care.
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The perplexing effect of education
One—and not the only—explanation for the flip in association is that the demands or lifestyle of attending college lead youth to procrastinate making contact with the HIV clinic. Once at the clinic, they may better understand the risks of non-compliance or be more motivated to maintain their health.
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TRANSLATING RESEARCH FINDINGS INTO PRACTICE
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Devote resources to linking “high-risk” youth to HIV care
Lessons Learned Devote resources to linking “high-risk” youth to HIV care Meet the youth where they are (e.g. school health clinics) Outreach to no shows sooner rather than later Strong social work and outreach support are key to keeping youth engaged in care
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Improving Linkage to Care
As part of Connect to Protect, we have expanded our outreach and follow-up of newly diagnosed youth to include not only the health department but also the city school system, several community and faith based organizations, and university health clinics.
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Improving Retention Initiated a home visit program for established patients to bring them back into care sooner. Assisted in establishing community advisory boards.
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Acknowledgements Infectious Diseases Patricia Flynn, MD
Aditya Gaur, MD Biostatistics Elisabeth Tolley, PhD Data Managers Wally Bitar Anil Thridandipani Psychology & Social Work Patricia Garvie, PhD Christine Sinnock Melanie Copeland Funding & Support St. Jude Children’s Research Hospital & ALSAC
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Questions?
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Announcements
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Upcoming Events and Deadlines
Upcoming Webinars: Partners in+care | Spanish Language Webinar | June 24, pm ET in+care Campaign | Latinos & Retention | June 25, pm ET Partners in+care Webinar | Adolescents and Retention | To be Scheduled Data Collection Submission Deadline: June 3, 2013 Improvement Update Submission Deadline: June 17, 2013 Upcoming Monthly Topics June – Latinos and Retention July – Patient Navigation August – Migrants, Refugees and Retention September – Women and Retention 40
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Time for Questions and Answers
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