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in + care Campaign Meet the Author May 30, 2013. Ground Rules for Webinar Participation. Actively participate and write your questions into the chat area during the presentation(s) Do not put us on hold Mute your line if you are not speaking (press *6, to unmute your line press #6) - PowerPoint PPT Presentation
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in+care CampaignMeet the Author
May 30, 2013
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Ground Rules for Webinar Participation
Actively participate and write your questions into the chat area during the presentation(s)
Do not put us on holdMute your line if you are not speaking
(press *6, to unmute your line press #6)Slides and other resources are available
on our website at incareCampaign.orgAll webinars are being recorded
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Welcome & Introductions
In the chat room, Enter your: 1. name, 2. agency, 3. city/state, and 4. professional role at agency
Michael Hager, MPH MA
NQC Manager,in+care Campaign ManagerNew York, NY
Tim Minniear, MDResearch AssociateInfectious Diseases DepartmentSt. Jude Children’s Research HospitalMemphis, TN
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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
Delayed Entry into and Failure to Remain in HIV Care AmongHIV-Infected Adolescents
TD Minniear, AH Gaur, A Thridandapani, C Sinnock, EA Tolley, and PM Flynn. AIDS Research and Human
Retroviruses. January 2013, 29(1): 99-104. doi:10.1089/aid.2012.0267
Disclosures
I have no conflicts of interest to disclose.
BACKGROUND
Four Components of Engagement
Adhere to Medical
Instructions
Utilize HIVCare Services
Learn of HIVPositive Status
Enter HealthCare Services
Linkage Retention
Cheever. CID 2007Horstmann et al. CID 2010
The HIV/AIDS Epidemic in the USA
1.2 Million PeopleLiving with HIV
25% Unawareof Diagnosis
900,000Aware ofDiagnosis
33% Not Linkedinto Care
600,000Linked to Care 400,000
Actively Engaged
33% Fall out of Care
• Includes 20-30,000 adolescents• ~ 26,000 new infections annually
Del Rico et al. CROI 2001, Marks et al. AIDS 2006Hall et al. JAMA 2008, Campsmith et al. JAIDS 2010
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
Primary Study Objectives
1. Identify factors associated with delaying entry into care (DEC) after diagnosis of HIV infection.
2. Identify factors associated with falling to remain in care (FRC) after initial engagement.
POPULATION & METHODS
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
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)
Definition of Outcomes
Failing to Remain in HIV Care•Not returning to clinic ≥6 months and missing at least 1 scheduled visit
3 Months 3 Months 3 Months
S NS S
3 Months
S: Show; NS: No Show
3 Months 1 1 1
S NS SNS
6 Months 3 Months
S S
3 Months
OUT
IN
IN
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 9.1.3 (Cary, North Carolina, USA)
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)
RESULTS
Case Assignment
No correlation between DEC & FRC
38% (76/202) delayed entry into care
30% (53/178) failed to remain engaged
coefficient = -0.01 (p=0.93)
Baseline CharacteristicsDelayed Entry into Care (N = 202)
Delayed Entry
(n = 76)Prompt Entry
(n = 126)P value
Race, Black 71 (93%) 121 (96%) 0.41Self-Identified Sexual OrientationMale, bisexualMale, heterosexualMale, homosexualFemale, 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 StageABC
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 (4.3-14.4) 9.5 (6.3-12.6) 0.45
Factors Associated withDelaying Entry into HIV Care
Prompt Entry (n = 126)
Delayed Entry (n = 76)
Unadjusted RR
(95%-CI)
Adjusted RRa
(95%-CI)
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%)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)0.4 (0.2–0.7)0.5 (0.3–0.9)Reference
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.
Baseline CharacteristicsFailed to Remain in Care (N = 177)
Failed to Remain
(n = 52)Remained(n = 125)
P value
Race, Black 50 (96%) 118 (94%) 0.63Self-Identified Sexual OrientationMale, bisexualMale, heterosexualMale, homosexualFemale, 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) 0.63
Clinical StageABC
44 (85%) 5 (9%) 3 (6%)
100 (80%) 12 (10%) 13 (10%)
0.59
Distance from Clinic (miles)Median (IQR)
8.9 (5.4-12.4) 9.2 (5.2-13.2) 0.98
HIV Disease CharacteristicsFailed to Remain in Care (N = 177)
Failed to Remain
(n = 52)Remained(n = 125)
P value
Baseline CD4 441 (240) 431 (237) 0.80Most Recent CD4 549 (266) 595 (274) 0.31Most Recent CD4% 28 (8.9) 30 (11) 0.34Change in CD4 109 (210) 164 (304) 0.23Baseline 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)
Factors Associated withFalling 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)Reference
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%)27 (22%)18 (14%)
3.5 (0.9–13.6)3.1 (0.8–12.4)2.5 (0.6–10.5)Reference
4.0 (1.1–15)4.5 (1.2–17.5)3.0 (0.8–12.0)Reference
a Relative risk was adjusted for insurance status, custody of a child, gender, and education.
CONCLUSIONS
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.
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.
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.
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.
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.
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.
TRANSLATING RESEARCH FINDINGS INTO PRACTICE
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
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.
Improving Retention
• Initiated a home visit program for established patients to bring them back into care sooner.
• Assisted in establishing community advisory boards.
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
Questions?
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Announcements
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Upcoming Webinars: ― Partners in+care | Spanish Language Webinar | June 24,
2013 2pm ET
― in+care Campaign | Latinos & Retention | June 25, 2013 1pm 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 Events and Deadlines
― June – Latinos and Retention
― July – Patient Navigation
― August – Migrants, Refugees and Retention
― September – Women and Retention
Upcoming Monthly Topics
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Time for Questions and Answers
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Campaign Headquarters:National Quality Center (NQC)90 Church Street, 13th floorNew York, NY 10007Phone [email protected]
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