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Challenges of service integration: the TB model Linda-Gail Bekker The Desmond Tutu HIV Centre, Faculty of Health Sciences, University of Cape Town, South Africa AIDS Conference Melbourne July 2014 Global TB in 2012 • • • • • • • 33 million HIV infected 1/3 have TB 8.6 million new cases of TB globally 13% co-infected with HIV. 1.3 million deaths (320 000 deaths in HIV/TB) SA: >300 cases notified annually (3rd largest number) 933/100 000 Largest number TB/HIV co-infected (65%) TB incidence rates : 2012 HIV prevalence/ new TB cases : 2012 Number of HIV-infected persons receiving antiretroviral treatment (ART) and percentage of persons receiving concomitant tuberculosis treatment in Africa 2002-2007 HIV in a sea of TB/TB in a sea of HIV • In our TB clinics: reason for HIV testing and diagnosis of HIV – Similar symptoms – Now an indication for referral for ART • In our HIV Clinics: TB not always symptomatic but must be actively investigated for. – Indication to start ART regardless of CD4. • In our primary health clinics : both conditions often present simultaneously 35000 Annual TB notifications 30000 25000 20000 15000 10000 5000 0 Cape Town United Kingdom Switzerland The numbers of tuberculosis notifications, stratified by 5-year age groups and HIV-status 4000 3000 2000 1000 75 + 9 10 -1 4 15 -1 9 20 -2 4 25 -2 9 30 -3 4 35 -3 9 40 -4 4 45 -4 9 50 -5 4 55 -5 9 60 -6 4 65 -6 9 70 -7 4 5- 4 0 0- TB notifications 5000 Age strata HIV negative HIV unknown HIV positive TB Burden Prior to Initiation of HAART Percentage of patients starting HAART 100 90 80 70 60 50 40 67% 30 47% 20 22% 10 8% 0 Total TB burden PH TB On TB Rx TB @ Screen A:TB Incidence by CD4 without HAART B: TB Incidence by CD4 with HAART 30 R2 = 0.9702 25 20 15 10 5 0 0 100 200 300 CD4 cell count 400 B: Cape Town ART Cohort TB incidence rate (cases/100pys) TB incidence rate (cases/100pys) A: Cape Town AIDS Cohort 500 30 R2 = 0.9643 25 20 15 10 5 0 0 100 200 300 400 500 CD4 cell count A: Holmes, Wood, Badri, et al JAIDS 2006 B: Lawn, Myers, Edwards Bekker, Wood. AIDS 2009 90 100 1000 cells/ul 50 60 70 80 TB rate = 1.5 500 cells/ul 10 20 30 40 TB rate >4.2-5.5 TB rate 9.3-16.8 200 cells/ul 0 Percentage of patients with CD4 below contour Good to get TB/HIV positive people onto ART 0 4 8 12 16 20 24 28 32 Duration of ART (months) 36 40 44 48 Presentation of TB and HIV co-infection: 1. TB diagnosed before starting ART 2. A patient develops TB while on ART 3. A patient who has defaulted ART develops TB Reason for urgency • Patients known to be HIV positive who develop TB and are not diagnosed or not treated – morbidity and mortality • In addition they are a TB risk to others • Patients known to have TB who are diagnosed HIV+ need ART (recommend: <8weeks) • Delays result in morbidity and mortality – Number of RCTs – lower CD4 groups HIV prevalence in the PHC TB service-CT 2009-2011 2009 2010 2011 Total 25,841 26,104 25,554 77,499 HIV Positive (%) 49.7 50.4 50.9 50.3 HIV Negative (%) 44.9 46.8 47.1 46.3 HIV status unknown (%) 5.4 2.9 2.0 3.4 TB cases (n) 1.00 0.751.00 Survival stratified by ART status for patients with CD4 counts < 350 0.50 0.95 Median Time to Death Started ART 71days (IQR: 38-119) 0.25 0.90 On ART at TB diagnosis 60 days (IQR: 26-118) 0.00 0.85 No ART 54 days (IQR: 25-104) 00 50 50 100 100 150 150200 Time (days) Time (Days) No ART Started ART during TB treatment 250 200 250 On ART at TB diagnosis Half of the deaths in patients who do not start ART occur within 8 weeks Summary: In the PHC TB service in Cape Town • 50% of adult TB patients are HIV positive • 82% have CD4 counts below 350 • 91% of deaths in HIV+ve patients occur in patients with CD4 counts below 350 • 32% of patients with CD4 counts <350 did not start ART during TB treatment (2009 – 2011) • Mortality for patients on ART was 50% less than patients not on ART for CD4 counts <350 • Median time to death for patients not on ART is +/8 weeks Delays occur moving between the facilities • A median delay of over 16 weeks between start of TB • treatment and start of ART was noted for patients referred from TB facilities to the Gugulethu ART clinic. This was reduced to 41 days if TB diagnosis was made at the ART clinic. 1 • Median delay of 2.66 months (+/- 74 days) between start of TB Rx and start of ART in clinics in CT (Masiphumulele, Gugulethu and in Khayelitsha) between 2002 and 20082 1Lawn et al BMC Infect Dis 2011, 2Lawn et al JAIDS 2011, Primary Health care setting TB clinic HIV/ART clinic HIV CT Referral to ART services TB ACTIVE CF Referral to TB services Missed opportunities: HCT, ACF, IPT, CTX Inherent DELAYS and LOSS TO FOLLOW UP The primary health care setting HIV only HIV/TB TB treatment for 6-9 months ART for life ART for life TB only TB treatment for 6-9 months Overburdened clinics and overburdened patients By “integrating” services (the 4th I) • Tackle the 3 Is in HIV+: – Intensified case finding (delay freeTB Rx) – (INH) Prophylaxis – Infection control • But other advantages in TB suspects and patients: – Test all for HIV – Offer ART without delays (5th I !!)- ? All CD4s? – Streamline services to provide both medications hassle free- quality of services (?reduce LTFU). Variety of Models: • Co-location of services in the same clinic with referral between services on site. • Co-location of services with shared management discussions and shared adherence support services. • Integration of services with HIV/ART services managing TB • Integration of services with TB services managing HIV/ART • HIV/ART/TB clinics de novo. A model for service integration DOCTOR Nurse run ART Facility based counsellors Nurse run HIV Nurse run TB Weekly Interdisciplinary meeting VCT TB ART Treatment readiness Sessions and ad hoc counselling FIELD SUPPORTERS Home Visit Support mentorship DOTS visits: Post integration of services 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1,000 0 Jan-06 Feb-06 Mar-06 Apr-06 May-06 Jun-06 Jul-06 Aug-06 Sep-06 Oct-06 Nov-06 Dec-06 Jan-07 Feb-07 Mar-07 Apr-07 May-07 Jun-07 Jul-07 Aug-07 Sep-07 Oct-07 Nov-07 Dec-07 Jan-08 Feb-08 Mar-08 Systematic review :2010 Grant, et al 2010) • 136 papers describing models of integration • None RCTs and very few with TB or HIV outcomes • Models based on referral only easiest to implement – Referrals may fail, communication key and often poor. • More integration needs more staff buy in and training. Barriers and enablers to integration: • • • • • • • • Service users unconvinced of need for more testing! Those referred battling to find referral services Fragmentation of services Poor communication between services Data systems inadequate for coordinated care Infrastructure poor for privacy Staff not motivated to take on “more” Supply of drugs and test kits unreliable • Joint staff training and support • Identifying staff “champion” Simply Integrating TB and ART services doesn’t simply solve uptake and delays. • In the Nyanga CHC which has co-located TB and ART clinics1 – 19.7% of ART eligible TB patients did not start ART – Median delay of 51 days from TB Rx start to ART start • In an integrated ART/TB clinic in Khayelitsha2 – 34/100 TB patients ART eligible patients did not start ART – Median delay of 58 days from TB Rx start to ART start • Town 2 Clinic after ART was introduced into a TB service3 – Median delay of 75 days between TB and ART initiation post integration (decreased from 147 days) 1Nglazi et al S Afr Med J 2012, 2Pepper et al PLoS One 2011, 3Kershberger et al PloS One 2012 Pilot analysis in 5 clinics in CT vs Standard TB program Caldwell et al, 2010 Qualitative data • Preferred by field adherence supporters – Better relationships with patients and better outcomes • Preferred by patients – Less transport and “hassle” factors – Better understanding of both diseases • Preferred by nursing staff. – Less “DOTS” burden and improved outcomes. TB outcomes in facilities in CT: A: 13 integrated and B: 4 single service facilities. N= 13 542 newly registered patients (66% HIV+). Kaplan, et al 2014 Conclusions • There is a burden of co-infection especially in areas where TB and HIV are hyperendemic • Both diseases require long term adherence to medications that can interact. • Outcomes are improved when TB/HIV is managed actively: 3 Is – ICF, IPT, IC (and now add IS) • Delays in treatment of both HIV and TB leads to increased morbidity and mortality. • Pragmatic to co-locate and move toward integration paying attention to infection control. • More research required that measures outcomes including TB cure, viral control and any risks (IC). Thanks • • • • Sten and Paolo Richard Kaplan (DTHC) Judy Caldwell and CoCT Steve Lawn