FRONTESPIZIO - Cooperazione Italiana allo Sviluppo

4. Building the national health management information system (HMIS) in Ethiopia 47POPULATION -BASED AND SERVICE -BASED DATA SOURCESCensusAdministrativerecords systems(NHA etc.)VitalregistrationServicesrecords systemsPop basedsurveysHealth statusrecordssystemsPopulation -basedHealth services records -basedFigure 4: Integration of population-based and service-based data sources.Figure 4: Integration of population-based and service-based data sources.Figure 4: Integration of population-based and service-based data sources.INTEGRATION OF DIFFERENT SOURCESOF DATA FOR DECISION SUPPORTHEALTHCARE LEVELCATCHMENT AREA POPULATIONCOMMUNITY LEVELPRIMARYSECONDARYTERTIARYFacility -basedRHISNon -routinemethodsCommunity -based/Sectoral RHISPatient/Clientc o n t a c tReferredp a t i e n t sReferredp a t i e n t sReferredp a t i e n t sI N D I V I D U A LCAREM A N A N A G E M E N TFirst levelcare unitDistrictHospitalRegionalHospitalNationalHospitalUniversityHospitalHEALTH UNITM A N A G E M E E THEALTH CARE SERVICESDistrictHealth MgmtT e a mRegional HealthMgmt TeamMinistry ofHealthUniversitiesOther HealthInstitutionsSYSTEMM A N A G E M E N THEALTH SERVICES SYSTEMHEALTH SYSTEMFigure 5: Data sources in the Health Information System.NON -ROUTINE DATACOLLECTION METHODSDISTRICTLEVELREGIONALLEVELNATIONALLEVELOTHER SECTORS:-Environment-Civil Administr.-Transport-EducationFigure 5: Data sources in the Health Information System.Such a comprehensive Figure 5: design Data sources enablesin phased the Health systemInformation development, System. reduces redundancies,increases efficiency, and improves interoperability. Interoperability is critical to ensuring, forSuch a comprehensive design enables phased system development, reduces redundancies,example, that census data, vital statistics, and health facility data can be integrated to generateincreases efficiency, and improves interoperability. Interoperability is critical to ensuring, forrates, ratios, and other indicator estimates as well as to ensure data validation and triangulationexample, that census data, vital statistics, and health facility data can be integrated to generate(comparison of results from several different sources of data). Triangulation may also helprates, ratios, and other indicator estimates as well as to ensure data validation and triangulation(comparison of results from several different sources of data). Triangulation may also helpdevelopment agencies, foundations, global health initiatives, and technicalexperts that work to increase the availability and use of timely and reliablehealth information by catalyzing the funding and development of core healthinformation systems in developing countries. HMN support in Ethiopia focuseson three areas: i) HIS assessment and preparation of long term plan; ii)