Development of District Health Information Software Ayub Manya & Anne Barsigo Ministry of Health Kenya

To provide timely, reliable and accessible health service and health related information for evidence-based decision making Collection Collation and store/ storage Analysis, interpret and publish information Disseminate information for use by all Role of HIS

Assessment of softwares’ used in the health sector in 2009 In 2010 DHIS-2 was adopted and rolled out nationally in 2011 Replaced a semi electronic system- FTP Adopted the old data collecting forms with no change Application of Technology

National roll-out Hiring of TA for the process(from Oslo University) Establishment of National Implementation Team Stakeholders briefing Briefing of Head of departments and various programs of the MOH System customization – Putting current Kenyan data collection forms in the system – Preparation of standard reports for indicators based on the current ftp forms

Pilot was done in one province During pilot mobile modems were very good. Mobile internet also varied with position even in the same compound hence the idea of providing laptops to all districts Modems and monthly airtime distributed to all data entry points Training through the TOT approach Currently social learning systems of using messages-community of service National roll-out

EPI information was accommodated and parallel reporting stopped There was consistent data in one online system as opposed to one at the EPI and the other at HIS Managers were able to see the entire country and address where immunization was low The system could easily accept new changes (very flexible) Trust in DHIS has developed and more demands are being made Experiences for Immunization

Challenges National problems of population and catchment areas still presenting with unacceptable indicators of coverage The immunization aggregate report sometimes does not agree with the logistic part especially the number of vaccines It has been difficult to accommodate new policies like extra doses of measles- need to print more paper

The need to embrace mobile technology Limited data use/utilization and mechanisms to inform decision making process Data quality – lack of systematic validation process to ascertain the accuracy Slow scale up in addressing the new constitutional decentralization process Classification of indicators require some work Challenges for EPI

Identify a core set of indicators and requirements that address Immunization Maintain consultative forum (TWG) Maintain a professionally run data centre that enables all to retrieve their data(being build by Clinton Foundation) Critically think about back-up systems Next steps

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