Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Presentation outline  Background  Gaps in data management in the health system  Strategies to tackle data quality issues  Data management system in AFRO  Currents efforts  2013 Priorities

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December |  Data quality is one of the 4 IVD priority in AFRO  Existence of robust DM system at different level  There is more interest on data quality than ever (Opportunity)  Good data = good decision, wrong data = wrong decision  Need data to monitor goals at all levels (Country, Region, Global)  Data management has not enjoyed deserved recognition from EPI Manager on staff allocation (skills)  Recommendations from TFI as well as EPI managers’ meetings Background

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | 4  DQS: discrepencies between reported and verified data  Surveys: results challenging reported coverage  Denominator issues (4%, 3.49% enumeration quality, use of 2 populations …)  Focus on indicators versus sources of indicators  One person taking a country responsibility for data sharing Existing Gaps

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Data in EPI Health system building blocks Immunization sub-system components 1.Financing 2.Capacity building 3.Management 4.Information/Data management

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Strategies to tackle data quality issues

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Main strategies to tackle DQ issue a. Technical aspect  Improving the denominator and basic information Conduct high quality enumeration at the lowest level Promote link between EPI and statistic offices Consider updated information of live birth and surviving Standardize the district spelling in utility, DB and shape files Promote regular census and availability of EPI needed data  a

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Main strategies to tackle data quality issues a. Technical aspect (Cnt.) Improving the Numerator Conduct regular DQS at all district Promote monthly monitoring meeting at district level between District team and health facilities including the communities Conduct monthly data harmonization and validation meeting with required participants and content Conduct monthly technical ICC meetings at national and provincial level

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Main strategies to tackle data quality issues b. Management aspect  Ensure data management is supported by appropriate staff in EPI  Create a group for in-country estimates of national best estimates for JRF Estimates  Raise the interest of EPI managers beyond the calculated indicators and start looking at the sources of the indicators  Incorporate information system as one of the key immunization sub- system components

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Data management system in AFRO

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | IVD Data management system in AFRO

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Surveillance data management system in the AFR FS/ CS /AS Form Ech Ref Lab Cas Positifs Lab Reg BD Form Ech Resulats DB/Feedback Surv BD IST Lab Nat BD Lab Nan BD DB/Feedback Surv BD Form EPID # Form, Ech FB, supervision Nat Surv / PEV Results/Form/Ech National Lab Nat Lab DB Form Ech Copie Form, Ech FB, supervision Province Form Ech FB District Form Ech OMS Pays/Autres Surv BD Lab Nat BD BD/Feedback DB/Feedback Harmonisation Validation DB/Feedback Surv DB AFRO Lab Nat Lab Nat BD Global level BD, Feedback

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | IVD database in AFRO Domaine Database/reportsSoftwarePeriod PEV de Routine 1 DB routineEpiinfo/Ms Access7th of M+2 2 Utility/PopulationEpiinfo/Ms Access25 Feb 3 JRFMs Excel l15 Mach IST/AFRO, 15 Apr HQ 4 GAVI situation reportMs Excel15 Apr Polio 5 AFP surveillanceEpiinfo/Ms AccessTuesday 6 AFP labEpiinfo/Ms AccessTuesday 7 Reference LabEpiinfo/Ms AccessTuesday 8 Polio Risk assessmentMs Excel20 Aprl, July, Oct, jan 9 Polio Expert comity reportsMs Word March 10 Certification reportsMs Word March Rougeole 11 Measles casebasedEpiinfo/Ms AccessTuesday 12 National lab Measles/YF labEpiinfo/Ms AccessTuesday 13 Regional LabEpiinfo/Ms AccessTuesday YF 14 YF surveillanceEpiinfo/Ms Access7th of M+1 15 Labo Regional FJEpiinfo/Ms Access7th of M+1 Tetanus 16 Surveillance TetanosEpiinfo/Ms Access7th of M+1 New vaccine surveillance 17 Hib PBMEpiinfo/Ms Access7th of M+1 18 RoravirusEpiinfo/Ms Access7th of M+1 Meningitis 19 Surveillance MeningiteMs Excel7th of M+1 Logistic 20 SMTMs Excel7th of M+1 21 DVDMTMs Excel7th of M+1 SIAs 22 Polio Ms Excel, 10 days after the end of SIAs 23 Measles 24 YF 25 Tetanus 26 Meningitis 27 IMMs Excel 7 days after the end of SIAs 28 Corrective actions following IMMs Excel 15 days after the end of SIAs

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Workload related to Data management in IVD/AFRO Database# databaseFrequencyAnnual number Population461 Routine Immunization JRF461 Polio lab2052 1,040 AFP4652 2,392 Measles4652 2,392 Mesales YF lab YF TMN YF reg Lab112 Risk Assessment New vaccine surveillance SAIs Ad hoc - Independent Monitoring Ad hoc - LQAS Ad hoc - Total 7,804

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Current efforts  Improvement in data completeness and timeliness  Drastic reduction in number of countries with differences between JRF and Estimates  40% of countries currently conduct data harmonization meetings  Establishment of a Regional Data Management System that allows the tracking of District level specific performances every month for the Region (pick data issues at District level and provide immediate feedback)  Standardization of SIAs data management tools (Admin, IM, post IM Action taken) with automatized reports Create an group for in country estimates of national best estimates for JRF Estimates Raise the national Authority interest beyond the calculated indicators and start looking at the sources of the indicators

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Current efforts (Cont.)  Development of integrated Data Management modules for countries  Establishment of Regional IVD integrated database  Regional shape file at District level  Development of surveillance site visits’ monitoring system  Development of a standard risk assessment tool  Reinforcement of Data Management coordination in the Region daily call with priority countries, regional teleconference on data management every 2 months  Systematic Data quality feedback to ISTs and countries

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Illustrations

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | 2013 Priorities a. Improvement of data quality from the source Advocacy for more interest on data quality at country level Standardization of basic data and shape files Support countries to assess and improve their data quality (DQS, Monthly Data harmonization meeting, enumeration, link between EPI and statistic offices, Census and Surveys, ICC, etc.) Capacity building and on-site supports for country Data managers

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | 2013 Priorities b. Enhancing data management at higher levels Build an interactive data visualization system on top of the available IVD integrated database in coordination with the DPC real time system and the African Health Observatory (Use of new technology) Reinforce coordination with partners Scale up the use of surveillance sites monitoring system Continue the development of integrated modules for easy use in countries (using the YF model)

Data management update in the AFR; ARCI, Dar-es-Salaam, Tanzania, December | Aksanti Thank you MerciObrigado