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Outcomes from the Scale-up of Antiretroviral Therapy Adherence Clubs in Cape Town, South Africa
Priscilla Tsondai, Lynne Wilkinson, Anna Grimsrud, Angelina Trivino, Precious Mdlalo, Andrew Boulle.
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Outline HIV epidemic in South Africa Background on ART adherence clubs
Background on Scale-up of ART adherence clubs Overview - Outcomes of ART adherence clubs study Study design Data collection Statistical analysis Results Conclusions
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HIV in South Africa Over 6 million people living with HIV in South Africa ~3 million on ART number expected to - “test and treat” guidelines
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Need for differentiated models of care
HIV in South Africa HIV treatment services already congested Crowding in clinics Long waiting times Impact on retention Need for differentiated models of care
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ART Adherence Clubs (ACs)
Group model of care For stable patients on ART Facilitated by lay ‘HCW’ Support from clinical staff Allows for “buddy” collection Meet 5 times per year brief symptom screen & group discussion receive pre-packed ART supply Wilkinson L.S and Wilkinson L.S. et al, 2016.
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ART ACs VL assessment at 4th month clinical consult at 6th month visit repeated annually Paper-based register Electronic Medical Records (EMR) Attendance Weight Blood results Referrals Wilkinson L.S and Wilkinson L.S. et al, 2016.
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ART ACs pilot outcomes ACs piloted by MSF in clinic in Khayelitsha, Cape Town since 2007 Retention of 97% (club) vs 85% (clinic) over 40 months 67% less virological rebound among AC patients Luque-Fernandez M.A. et al, PLoS One, 2013.
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Scale-up of ART ACs Adopted by the WCG DoH
Since 2011 Implemented across Cape Metro district As of March 2016: ~32% (>45,000) of all patients on ART in district supported within an AC Wilkinson L.S. et al, TMIH, 2016.
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Outcomes of ART ACs study
Aim To determine if the AC model of care is as effective at scale Outcomes: Retention and viral suppression (≤400 copies/mL) 3 phased study Phase 1 - Describe outcomes of a portion of patients receiving ART within ACs Phase 2 - Validate the ability to identify club participation from routine data Phase 3 - Compare outcomes of AC patients with non-AC patients across entire district based on routine data
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Study Design Retrospective Observational Cohort study
Eligibility criteria Enrolled in AC at facility without substantial research support Enrolled between Jan 2011 – Dec 2014 Sampling A weighted random sample, with each club as the sampling unit used to sample ~10% of ACs (n=100) ACs sampled in quintets proportional to the number of ACs at facility
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Data Collection 3 Data sources used
AC registers - photographic images taken data abstracted and entered into REDCap Patient Clinic Folders - reviewed for patients who defaulted from AC or were referred back to clinic EMR - laboratory and service access data abstracted to validate retention & virologic outcomes
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Statistical Analysis Cross-sectional LTFU, TFO, deaths & VL assessment and suppression Competing risks regression LTFU, TFO & deaths Patients entered analysis on date of 1st club visit & exited at the date of outcome or analysis closure (31 Dec 2014) LTFU - defined as no AC or clinic contact in the six months following analysis closure (between January – June 2015) LTFU determined to have happened at the date of the last contact with the service
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Patient Characteristics
3216 patients followed up for 4019 person years, 71% female At AC enrolment; median age 36 years (IQR, 31 – 42), median time on ART 2.3 years (IQR, 1.5 – 3.6)
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Retention 4.2% (n=135) were LTFU, 2.6% (n=82) TFO and 0.1% (n=4) died
Before linkage – 280 (8.7%) patients LTFU Linkage found 52% (n=145) of these patients Cumulative retention 95.1% (95% CI 94.2 – 95.9) over 12 months 89.7% (95% CI 87.9 – 91.2) over 24 months 83.2% (95% CI 79.6 – 86.3) over 36 months
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Viral load completion and suppression
Months of follow up 4 16 28 Patients followed (N) 3216 1846 615 Viral loads done 2782 1563 490 Completion (%) 87 85 80 Results (copies/mL) ≤ 400, n (%) 2697 (97) 1496 (96) 461 (94) 24 (1) 11 (1) 4 (1) > 1000 61 (2) 56 (3) 25 (5)
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Strengths and Limitations
Challenges Missing old registers – some patients in initial AC implementation phase who left ACs not included Strengths Sampled ACs from non research sites Linkage enabled us to differentiate true LTFU from silent transfers
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Conclusion Substantial reassurance that this model supports good patient outcomes at scale evaluated model implemented by DoH outside research control Good outcomes expected model implemented for stable patients Can be used to relieve clinic congestion and free up clinician time Next steps Health Systems Research in writing Phase 2 and 3 – enable comparison between patients in AC model vs routine clinic set-up across entire district
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Thank you
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