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Organization: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
Country: Kenya
Closing date: 16 Mar 2016
Terms of Reference for an Inventory of Data Collection, Quality Control and Management for Sectorial Planning In Kisumu, Kenya.
Background
The statistical system in Kenya cannot yet provide regular and standardized data on population dynamics, health and energy at county level. For many sectors of development the data for planning, implementation and monitoring of programs stems from census, surveys and projections by the Kenya National Bureau of Statistics (KNBS). Data for county and local level is mainly not disaggregated in big national surveys, which makes data collection, quality control and disaggregation at county level even more important. Civil Registration and Vital Statistics (CRVS) Systems can also be improved. UNICEF estimates that only 60% of all births are being registered in Kenya, with subnational areas ranging from below 40 to more than 90%. This lack of solid data hinders sustainable development planning at county level, e.g. in the health and energy sector, especially for marginalized population groups. Kenya is open for new mobile data solutions; the state invests in better data and wants KNBS to take a strong coordination role for data collection and transparent dissemination of data to the public. The data collection, quality management and specific analysis at county level for identification of main target groups and measurement of improved public performance in the health and energy sector is limited. With strong routine data management and use of disaggregated data in different sectors, development planning can be better addressed to specific needs of the county population and enable disaggregation of national average trends at county level without additional surveys.
Consultancy objectives and design
The inventory aims to categorize institutions responsible for data collection, quality control and analysis on population, health and energy at county level in Kisumu. In addition, it is meant to inform about the use of disaggregated demographic and sector-specific data for planning and development measures in the sectors of health and energy by the county ministries and their partners (e.g. the GIZ Health Sector Program [HSP] and Energizing Development [EnDEV]). The ultimate aim of the consultancy will be to assess this information on data management in Kisumu, against the responsibilities and capacities dedicated to the county level under the revised constitution of Kenya from 2010.
The results are meant to inform the county ministries and development partners about the status of data management at county level. It will give recommendations where the relevant institutions might need support, e.g.:
Ø In routine collection and quality control of data, including in build-up of CRVS.
Ø or in analysis of the data to identify the target groups most marginalized in access to qualitative health and energy services
Ø Or in use of the data for monitoring improvements in the delivery of qualitative health services and energy products.
The view on the county as the responsible governance unit will also enable analysis on intersectoral coordination and data needs, e.g. on the contribution of clean cooking to improved health of children up to 5 years. Recommendations ought to be given for next steps in the health and energy sector at county level, with support of the HSP, EnDEV and other partners in Kisumu. The results will be discussed with county ministries and partners for finalization of the report and identification of next steps.
Tasks to be conducted
In close cooperation with the GIZ HSP and EnDEV operating in Kenya and Kisumu, and the sector initiative on population dynamics from Germany, the consultant is expected to:
I. Assemble data and information from:
National and county routine data sources, including CRVS;
Key informants from county government, statistical institutions, including those responsible for CRVS, the county ministries of health and energy and further partners at county level in these two sectors, building on the fact-finding talks that were already conducted;
Spot – Visits to 2 sub-county-administrations, 3 health centers and 3 energy selling points[N1] ;
existing national and county specific surveys;
A desk study of documents on the legal and organizational framework stating the expected responsibilities and procedures at county level, including intersectoral coordination.
II. Elaborate an inventory that provides an overview about
responsible institutions at county level and their interaction with lower levels same as the national level;
the legislative framework and mechanisms for institutionalization of data management at county level, including CRVS;
The use of the data available by the different institutions involved, quality control, data gaps, coordination between the different institutions etc.
III. Summarize the findings in a report that also provides recommendations, especially for the context of the partners involved.
Deliverables expected
I. The inventory in an easily accessible paper- and electronic format
II. A report on the findings in summary and the recommendations
III. A summary presentation of results for the discussion with partners, including recommendations for next steps
Profile of the consultant
The consultant should have a background in demographics or statistics; at least 5 years of experience in statistical data analysis and consulting work; Experience in civil registration and vital statistics systems; Good knowledge of devolved structures.
Time table for the consultancy
April/May 2016: 15 working[N2] days for the conduct of the inventory and desk analysis
May: 5 working[N3] days for elaboration of the inventory and report, the first version should be handed in latest by 15th of May
2 day[N4] for finalization of the inventory and report after receiving comments from involved partners (within one week). Final version of the report is to be handed in latest the 23rd of May
2 days[N5] for elaboration of the summary presentation, presentation to partners and wrap up of the discussion and next steps decided (to be determined in agreement with partners).
Total: 24 working[N6] days
[N1]This visits would take approximately 4days and at approx. KES 15,000. per day this would be 60,000
[N2]I would estimate consultancy rates at approx. 30,000 per day so for 15days would be 450,000
[N3]At KES. 30,000 per day 5days would be 150,000
[N4]At KES.30,000 per day 2days would be 60,000
[N5]At KES.30,000 2days would be 60,000
[N6]The total at KES.30,000 per day would be 720,000
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