INTERGRATED USE OF DATA MANAGEMENT SYSTEMS IN DECISION

MAKINGAuthor: JAMES ANDATI

Co-Authors: Dominic Mutai1 , Steve Okoth1 , Clement Oindo1, Tom Omurwa1

1Program for Appropriate Technology in Health, PATH Kenya

Date: 14th June 2016

Outline

• Background• Problem statement

• Research objectives

• Methodology

• Results

• Conclusion & Recommendations

• Discussion / Q&A

BackgroundAPHIA plus Western Kenya project-5 year USAID fundedImplements its program strategies in Western and Nyanza Regions of KenyaEmphasizes are on Health Systems Strengthening as a key pillar to sustainable quality health care services.It strengthens the current service delivery capacities at county, sub-county, facility and community levels with efforts to build foundations for strong health management capabilities.Regular use of data for informed Decision making in collaboration with the Ministry of Health (MoH)has seen improvement of the various key health indicators.

Background

• The MOH supports regular monthly reporting of the services provided in facilities by use of provided reporting tools.

• Routinely Health Care workers and Facility HRIOs aggregate the report summaries from registers to the summary reporting tools.

• Sub county HRIOs and Facility HRIOs upload the data into the HMIS run DHIS2 reporting system.

Methodology

• Data is routinely collected using the registers and summary tools and aggregated by Health Records Information Officers (HRIOS) at the facility.

• HRIOs are supported monthly with airtime for communication and data bundles to upload into the DHIS2.

• This data is then pulled and aggregated in the project’s Comprehensive Information Management System, (CIMS).

• From the CIMS aggregated and analysed data, highlighting of discrepancies and any outlying indicators is done.

• Aggregated data is transferred to Tableau before disseminating the results in graphical, tabular and geospatial format on the prevalence, spread or occurrence of various diseases verses the set targets.

• The tableau visualizer can present data in manipulated formats up to the lowest unit of service delivery as community unit or facility level.

• Data in this format can be presented and disseminated and /displayed as well up to the highest level; national or regional.

Data entry, aggregation and Analysis

Data extraction, review , entry into the CIMs and Analysis

Data Presentation and review

Data sharing and Review meeting

Sub county data review meetingCommunity health volunteers attending a monthly review meeting

Review meeting

Kakamega County HRIOs being taken through the performance review with use of the tableau visualizer

Results 1

• Use of data from the government health reporting systems and tools has contributed to improvements in key health indicators.

• Increased use and integration of the MoH and Partners reporting systems has improved data quality and use for both the players.

• Data use has built the capacity of community-level structures to respond to the needs of people as well as strengthening the linkages between health facilities and communities.

Results 2

• Regular data use and dissemination facilitates access to health care.

• Regular update and ‘talking’ data has enhanced health service quality by building the capacity of health care workers and improving infrastructure of health facilities.

Conclusion/Recommendations

• Partner’s expertise need to support the improvement and data use methodologies from the DHIS2 reporting system.

• Data presentation and use, should be shared with the counties and sub counties when developing the annual work plans and strategic plans.

• Regular data use for decision making is key for ensuring sustained and efficient health systems management.

Discussion Q&A

Acknowledgement

• USAID Kenya

• Government of Kenya-MOH

• PATH

• APHIA Plus Western Kenya M&E Team

Thank You