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Developing a National HIV/AIDS Surveillance System in Haiti. NASTAD Haïti Juillet 2012. Reportable HIV/AIDS Events in Haiti. HIV disease sentinel events. HIV exposure (exposed infants or sexual transmission ). HIV infection. 1 st positive HIV test. 1 st CD4 count.
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Developing a National HIV/AIDS Surveillance System in Haiti NASTAD Haïti Juillet 2012
Reportable HIV/AIDS Events in Haiti HIV disease sentinel events HIV exposure (exposed infants or sexual transmission) HIV infection 1st positive HIV test 1st CD4 count 1stCD4 count <350 1st viral load 1st CD4 <200 AIDS-related Opportunistic Infection Death
Monitor HIV Disease HIV disease sentinel events HIV exposure (exposed infants or sexual transmission) HIV infection 1st positive HIV test 1st CD4 count 1stCD4 count <350 1st viral load HIV Case Reporting 1st CD4 <200 AIDS-related Opportunistic Infection Death
Monitor AIDS Disease HIV disease sentinel events HIV exposure (exposed infants or sexual transmission) HIV infection 1st positive HIV test 1st CD4 count 1stCD4 count <350 1st viral load AIDS Case Reporting 1st CD4 <200 AIDS-related Opportunistic Infection Death
System Design of Haiti’s HIV/AIDS Surveillance System (HASS) (MESI, Haiti, Daily/Weekly)- “Surveillance”-Online (MESI, Haiti, Daily/Weekly)- “Surveillance”-Offline MESI 1 HAITI HIV SURV MESI ITECH (I-TECH, WA, Biweekly/Monthly)-EMR De-duplication (GHESKIO, Haiti, Biweekly/Monthly)-EMR Surveillance Loop (PIH, MA, Biweekly/Monthly)-EMR MOH
System Design of Haiti’s HIV/AIDS Surveillance System (HASS) MESI – flux hebdomadaire “Surveillance”-Online Feedback aux sites sur la qualite des donnees MESI-offline – Flux hebdomadaire “Surveillance”-Offline Balisesautomatisees de saisie de donnees MESI HAITI Base de donnees Surveillance HIV/SIDA epuree MESI ITECH National EMR – Flux mensuel Deduplicationautomatisee et manuelle intra/inter systemes GHESKIO EMR – Flux mensuel Feedback de duplication Intra-EMR Surveillance Loop: - Rapports de tendance - Rapports de processus - Rapports de qualite PIH EMR – Flux mensuel MoH
Departmental Distribution of HIV Cases at Diagnosis, vs. Population Distribution (HASS 1983-2011)
Departmental Distribution of HIV Cases at Diagnosis, vs. Population Distribution Outer: Estimated departmental HIV prevalence • Center: • % Haiti population per department
Commune of residency distribution of HIV cases at diagnosis (HASS 1983-2011)
HIV diagnoses rate in all age group population per department (HASS, 2006-2011) Haiti 182 per 100,000 *Unique individuals, 2006-2011 (6 years), department of first report, 2009 population
Unique HIV cases reported to HASS (1983-2011), by System and Total ----- iSanté ----- GHESKIO ----- PIH/ZL ----- MESI First HIV Diagnosis in Central Plateau (PIH) Earthquake of 2010 • Health facilities destroyed. • Health staff perished. • Millions displaced. First HIV Diagnosis in Haiti (GHESKIO) MESI launched (Solutions) Foreign Assistance Programs increase in Haiti (PEPFAR, Global Fund) Case Surveillance pilot begins (MSPP, NASTAD)
Patient Mobility Within and Between Networks (% of patients in network EMR diagnosed in same network)
Sex Distribution of HIV Cases at Diagnosis, vs. Population Distribution (HASS 1983-2011)
Gender and age distribution of HIV at diagnosis (HASS 1983-2011)
Reported vs. Estimated VIH, SIDA Deaths in HASS, (1983-2011) Reported Estimated Of the 146,762 unique patients in HASS and according to information originally received from the report- 87% are diagnosed with HIV, 8% with AIDS, and 5% dead. Using estimated information (below), 68% are diagnosed with HIV, 19% with AIDS, and 13% are presumed dead. People are presumed dead if they were diagnosed prior to 2000 and do not have another report in HASS or they are 65 years or older and reported prior to 2006. People are presumed to have SIDA if they have a CD4 count <= 350 per ml blood. Note: These amounts may be subject to change as the methods for estimating death and out-migration are refined.
Conclusion • Since 2009, an estimation of 95% of all HIV cases diagnosed in Haiti have been reported to the case surveillance system. • 252 sites (56%) are periodically reported HIV diagnosis cases. • By early 2012, all four major electronic data sources were providing data feeds on a monthly basis. • Crucial reporting variables are present in more than 99% of all case reports. • Though the end of 2011, a total of 193,065 HIV cases were reported to HASS. Of those cases, 23.4% were reports related to a person reported more than once in the system. • With the existing and use of the de-duplication algorithm 147,880 unique HIV cases are identified in the national HIV/AIDS case surveillance system