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Evaluation of point of care CD4 Testing in Ethiopia. Belete Tegbaru National HIV Laboratory The Ethiopian Health and Nutrition Research Institute Addis Ababa, Ethiopia. 6 th IAS Conference July 17-20, Rome Italy. Presentation outline. Background Problems & questions Objective
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Evaluation of point of care CD4 Testing in Ethiopia Belete Tegbaru National HIV Laboratory The Ethiopian Health and Nutrition Research Institute Addis Ababa, Ethiopia 6th IAS Conference July 17-20, Rome Italy
Presentation outline • Background • Problems & questions • Objective • Plan of the evaluation • Methodology • Results • Summary • Expected Benefits of POC instruments • Anticipated Challenges for implementation
As of end of March 2011 In Ethiopia (80 Million Population): 233,361 HIV testing sites 2,309 6,592,896 [+ve, 80,318 (1.2%)] Total Tested (2010/11) • 698 • 108 Hospitals • 590 HCs Sites giving ART Sites giving CD4 testing service • 138 • All Hospitals Currently on ART
Problems & questions • Absence of on time CD4 count results (centralized and referred) Service • Distance to sites • TAT for results, HIV-DR? Lost follow-up • transport ,storage & power interruption Cold chain system Cost Expertise, maintenance, training, referral linkage
Objective To evaluate a point-of-care technology (PIMATM) at different level for CD4 testing sites • PimaTM CD4 + T cell Technology - against standard CD4 instruments • To see the feasibility: of PIMA for CD4 testing • To see how far PimaTMCD4 + T cell Technology could help the facilities to reach their patients on time
Handy & can be charged for those without electricity Reagent at room temperature Can be done from finger prick
Plan of the evaluation With standard Machines at central & Hospital lab (N=2 sites, 300 samples) Phase-I At Health center level; referred samples (n=7 sites, 750 samples) + Finger prick samples (300 samples) Phase-II Finger Prick samples (n=10 sites, 500 samples) Phase-III
Methodology • Evaluate against standard machines (FACSCalibur and FACSCount) • Intra-test, inter-test, inter-instrument, interpersonal variations were determined • Referred samples for FACSCount to referral sites and PIMA on site results were compared • Operational parameters (failure rate, rate of additional devices for planning and training were evaluated)
Results Lab: 27(8.1%, 5.4-11.1) Site level: 17(10.7%,7.2-18.7] for planning 9.4% extra devices
PIMA versus FACSCalibur FACSCount
PIMA versus FACSCount at health centers before and after referral
PIMA Misclassification rate Taking 200 cells/µl as a cutoff
Sample <200: 103 cells/µl >200: 510 cells/µl Each test= 10x Vial-B Vial-A Day-1 TECH-B TECH-A TECH-A PIMA-1 PIMA-2 PIMA-1 PIMA-1 Day-2 TECH-A TECH-A
Sample Vial-B Vial-A Day-1 TECH-B TECH-A TECH-A PIMA-1 PIMA-2 PIMA-1 PIMA-1 Inter machine variation
Sample Vial-B Vial-A Day-1 TECH-B TECH-A TECH-A PIMA-1 PIMA-2 PIMA-1 PIMA-1 Inter technician variation
Sample Vial-B Vial-A Day-1 TECH-B TECH-A TECH-A PIMA-1 PIMA-1 Inter-assay variation
Sample Vial-B Vial-A Day-1 TECH-B TECH-A TECH-A PIMA-1 PIMA-1 Intra-assay variation
Sample Vial-B Vial-A Day-1 TECH-B TECH-A TECH-A PIMA-1 PIMA-2 PIMA-1 PIMA-1 PIMA-1 PIMA-1 Day-2: Daily variation
Meaning of Pont-of-care • In phase-II: 4 HCs tested 255 patients by both PIMA and FACSCount **- drawing of blood for 2nd time due to lost results * Reading failure
Expansion of sites • Reduce the cost of referral • Reduce the cost of cold chain • Serve the patient on site • Reduce lost follow-up Program • Limited training required • Storage (room temp. and space) • Sample collection (easy and safe) • Can be done at lower level Laboratory • Get service on site • Initiate ART on time • No cost for transport & others • Follow their status at any time • Increase quality of life Patient
Anticipated Challenges for implementation • Supply of reagents and machines Vs expansion • Mechanism to solve – connectivity and planning • Maintenance Vs expansion • Preventive maintenance free- • Technical service replacement strategy • CD4% for pediatric cases • development
Summary • Good agreement with standard machines with low bias and good percentage of similarity • On Planning: a total of 9.4% extra devices required at lab & site level • Failure rate on testing= 8/306= 2.6% at lab level • Gives extra advantage – No need to re-draw blood -point-of-care ~5% of the cases • Power interruption was not a problem at site level • The intra-, inter-tests are within WHO recommendations for ≤200 and >200 cells/l CD4 Tests
Collaborating Individuals • Dr. TsehayneshMesele EHNRI • Dr. Almaz Abebe EHNRI • Mr. Dereje Teshome EHNRI • Mr. ErmiasHailu EHNRI • Mr. FeyissaChalla EHNRI • MrHabteyesHailu EHNRI • Mrs. Yodit Alemayehu EHNRI • Katherine Theiss-Nyland CHAI • Dr. Peter Trevor CHAI
Ethiopian Health and Nutrition Research Institute –Organize and lead the evaluation CHAI: Financial, material and technical support Alere: Training of laboratory personnel at the National HIV laboratory