Improving Chicago's HIV Care Cascade: Year 1: Scaling up routine HIV testing Year 2: Exploring new uses for HIV surveillance data Chicago Site Project Summary November 19 th, 2012 Ron Lubelchek, MD Associate Medical Director Ruth M. Rothstein CORE Center Attending Physician, Division of Infectious Diseases Stroger Hospital of Cook County Assistant Professor of Medicine Rush University Medical Center Nanette Benbow, MS Director HIV/STI Surveillance Division Chicago Department of Public Health
Outline Year 1: scaling up routine testing Background Aims Methods Results Limitations and conclusions Year 2: enhanced use of surveillance data Background Aims/methods Timeline
Background Year 1 Chicago s HIV care cascade reveals that approximately 21% of PLWHA are unaware of their diagnosis CDPH. Healthy Chicago & NHAS report, July, 2012. Accessed Nov. 2012 at http://www.slideshare.net/chipublichealth/healthy-chicago-the-national-hivaids-strategy. CDC/DHHS National Ambulatory Medical Care Survey utilization estimates 2007.
Specific Aims Year 1 Specific Aim 1: Develop, pilot, and implement an survey to assess provider level knowledge, attitudes, barriers and facilitators to routine HIV testing. Specific Aim 2: Implement a project focused on scaling up routine HIV testing in three high risk Cook County Health and Hospital System (CCHHS) out-patient specialty clinics.
Methods Phase 1: Survey development Worked with UIC survey research lab to develop instrument to assess clinicians knowledge, attitudes and beliefs with respect to routine HIV testing Also assessed perceived barriers and facilitators to routine HIV testing Phase 2: Survey implementation Administered survey to providers in 3 specialty clinic/areas Dermatology Psychiatry Trauma
Phase 3: Clinic-specific education sessions Trainings developed for each clinic based on survey results and process evaluations Main outcome: HIV testing rates for patients with unknown HIV status who also had blood drawn. Assess preintervention testing rates in clinics of interest; Jan- Feb, 2012 Process evaluation, focused trainings; May through July Survey/needs assessment in study clinics; March to May 2012 Post-training observation of testing rates; Aug-Oct, 2012
Results: survey respondent demographics (N=43)
Correct knowledge regarding HIV testing guidelines (overall 65% correct) 90% p = 0.01 42% 61%
Attitudes and beliefs overview:
Survey results: barriers and facilitators Reasons for not testing? Barriers to testing? Desired trainings? Most frequently cited: 33% -- I don t know how to arrange follow-up for positive patients 30% -- I don t have enough time to explain HIV testing to patients 58% -- more info on HIV test consent rules/policy 28% -- I m not confident the patient will return for results 58% more info on how to arrange follow up for patients with positive results Highest ranked: 26% -- ranked 1 st or 2 nd : I m confident the patient will return for results. 85% -- ranked 1 st or 2 nd : I don t know how to link positive patients to care 83% -- ranked 1 st or 2 nd : need more info on how to arrange follow-up for newly diagnosed 71% ranked 1 st or 2 nd : I don t have enough time to explain HIV testing to patients
Changes in Routine HIV Testing Patterns over Time by Clinic 25 Derm Proportion tested (%) 20 15 10 5 Pre Intervention Post Heme Psych Expon. (Derm) Expon. (Heme) Expon. (Psych) 0 Jan-Feb Mar-July Aug-Sept p < 0.01 for psych vs. heme over time p < 0.01 for derm vs. heme over time via poisson regression
Number Patients Tested 1200 900 1000 800 800 700 600 600 500 400 400 300 200 200 100 0 0 Routine HIV testing rates: Stroger ED before/after EMR order prompt Weekly blood draws 100% Trauma clinic: routine HIV testing over time, Weekly HIV tests 2012 Weekly % tested 14% 12% 10% 8% 6% 4% 2% 6 Post 5 Post 4 Post 3 Post 2 Post 1 Post 9 Pre 8 Pre 7 Pre 6 Pre 5 Pre 4 Pre 3 Pre 2 Pre 1 Pre 0% 9 Post 8 Post 7 Post 75% 50% Number seen unknown HIV Number unknown with blood 25% Proportion tested for HIV 0% Proportion HIV tested Week - Before/After HIV Order Prompt Activation Lubelchek et al. Poster # TUPE734 at 29 th IAS, 2012
Demographics of Newly Diagnosed HIV Patients and Linkage to Care Status Stroger Hospital campus, 01/2012 10/2012 N=176 System-wide HIV testing data Linked to 70000 60000 Care < 90 Days Linked to Care Not Linked to Care Characteristic N % N % N % Total HIV tests: Stroger Hospital campus TOTAL (N = 176) 139 79 146 83 30 17 Gender p-value Male (N = 132) 107 81 114 86 18 14 50000 Female (N = 43) 31 72 31 67 12 28 40000 Transgender (N = 1) 1 100 1 100 0 0 p = 0.34 30000 Race/Ethnicity 20000 African American (N = 130) 95 73 102 79 28 22 Hispanic 10000 (N = 32) 31 97 31 97 1 3 White (N = 12) 12 100 12 100 0 0 0 2008 2009 2010 2011 2012 Asian (N = 1) - - 0 0 1 100 p = 0.002 Other (N = 1) 1 100 1 100 0 0
Year 1: Limitations/Conclusions Trauma clinic decline in testing Day-to-day run by rotating residents Protocol driven They have not yet initiated protocol incorporating routine testing (trauma clinic with least knowledge of testing guidelines) Scalability of intervention? Suggests that needs assessment followed by focused training (academic detailing model) model can improve rates of routine HIV testing
Year 2: Background Increasingly, HIV surveillance data has been used to improve the clinical care of people living with HIV/AIDS e.g. Health information exchange in Louisiana to help identify and link lost-to-care patients San Francisco department of public health tracking linkage to care for newly diagnosed patients NYDHMH use of surveillance data to monitor engagement in care rates We believe Chicago-area PLWHA would benefit from enhanced use of HIV surveillance data for improving provision of clinical care Cole J. 2010 Ryan White Grantee Meeting and 13 th Clinical Conference. Washington DC, Aug, 2010. Zetola NM, et al. BMC Public Health 2009; 9: 17-22. Torian and Wiewel. AIDS Pat Care 2010; 25(2): 79-88.
HIV Continuum of Care Chicago 2010, as of 6/12 25,000 20,000 21,077 15,000 10,000 5,000 10,960 8,987 7,639 6,570 52% 43% 36% 31% - People Living with HIV Aware of Status Accessed Care Retained in HIV care On ART Virally Suppressed
Chicago HIV Continuum Goals, as of 6/12 35,000 30,000 25,000 20,000 15,000 10,000 5,000-26,680 27,357 accessed HIV care stay in HIV care 13,017 10,674 10,9608,987 9,073 7,639 6,570 7,803 get antiretroviral therapy 5,603 5,005 have a very low amount of virus in their body 27,949 28,457 28,883 29,229 15,198 12,462 10,593 9,110 4,400 17,490 14,342 12,191 10,484 36% 3,793 31% 43% 52% 19,882 16,303 13,858 51% 11,918 59% 3,188 70% 85% 22,360 15,585 Goal (2015) 18,335 13,403 2,588 Current (2010) 2010 2011 2012 2013 2014 2015 Estimated PLWHA in ehars + newly aware Retained in care (Irene 0% excludes 20% diagnoses 40% in retention 60% estimate) 80% 100% # accessing care at least one time in a year (assuming above %) On ART*** Virally suppressed*** Unaware of status**
Year 2 Method Outcome Year 2 Aims: Expanding use of HIV surveillance data Aim 1: Additional analysis of CDPH HIV surveillance data Further analyze CDPH HIV lab surveillance data Assess changes in linkage to care and engagement in care rates 1. Further analyze 2009 to 2011 CDPH CD4 and HIV viral load surveillance data in order based on to varying more completely characterize level of engagement of analysis for PLWHA in Chicago Risk factor analylsis 2. Pilot a demonstration project focused factors for on lack of engagement in care clinical care providers using the CDPH HIV surveillance registry Asses to barriers help to determine use of which of their patients have HIV surveillance truly fallen for clinical out of consultation care. Aim 2: Asses barriers and develop pilot with partnering clinical provider(s) purposes: definitions or parameters Further clarify risk A. Identify barriers (legal/other) to enhanced use of CD4/VL Legal consultation surveillance Survey of other of DOH B. Partner with a clinical DOH care providers to pilot system for using the CDPH HIV surveillance data to determine which patients lost-to-care Pilot have with not clinical received CD4/VL from other providers in the last provider year. to query HIV surveillance data to help Related goal: Contribute determine which to and patients encourage regional HIV-related data lost sharing to care efforts (triage outreach priorities) Outcomes from legal Outcomes from survey Number of lost-to-care patients included in query to CDPH Number determined to be lost-to-care vs. in care elsewhere
CORE Center: engagement in care A total of 4810 HIV+ adults were seen at the CORE center in 2010 and 1286 (27%) were not actively engaged in care. Livak B, et al. Poster THPE241, 29 th IAS, Washington DC, 2012
Aim 1: Additional analysis CDPH HIV lab surveillance; Nov-Jan Y2: Timeline Aim 2: pilot project; clinic querying surveillance database to improve outreach; Feb to June Aim 2: assess barriers to expanded use of surveillance data; Nov to Feb Acknowledgements Daniel Taussig chief HIV testing advisor, CORE Center Luis Lira HIV testing advisor, CFAR/ECHPP Y1 Katelynne Finnegan Project Coordinator, CFAR/ECHPP Y2 Anna Hotten, PhD D-CFAR clinical core statistician Marisol Gonzalez Co-investigator for Y1 D-CFAR/ECHPP project Karen Kroc, CORE Center co-director of research David E. Barker, MD Medical Director, CORE Center Nanette Benbow, MS Director, HIV/STI Surveillance Division, Chicago Department of Public Health David Amarathithada, Director, HIV prevention, STD/HIV/AIDS Division, CDPH Chris Brown, MPH, MBA Former Assistant Commissioner, STD/HIV/AIDS Division, CDPH Alan Landay, PhD. head of Chicago D-CFAR Bob Bailey, PhD co-director, Chicago D-CFAR Audrey French, MD head of D-CFAR clinical core Judith Levy, PhD. head of D-CFAR social & behavioral sciences core