1. 7/2/20151 POPULATION STUDIES AND RESEARCH INSTITUTE (PSRI) UNIVERSITY OF NAIROBI, KENYA RUSINGA DSS A PRESENTATION AT THE PSRI RETREAT IN KITENGELA 15 TH AND 18 TH DECEMBER 2014

2. 7/2/20152 Outline  Purpose  Background to the Rusinga DSS  Objectives  Design  Operationalization  Challenges

3. 7/2/20153 Objectives of the Presentation  Share with staff the Rusinga DSS design and challenges in its implementation

4. 7/2/20154 Background  The site is located on the Rusinga Islands on Lake Victoria in Nyanza Province, Western Kenya, 450 km West of Nairobi  The Island covers an area of 44 sq km stretching 10km East-West and 4 km North-South

5. 7/2/20155 Administrative Units  The site is divided into: Two locations, six sub locations and 42 EAs (Clusters)

6. 7/2/20156

7. 7

8. 8 Establishment The site was established in 2001 with a baseline household survey which provided the baseline data for the DSS

9. 16 th December 20149 Objectives of the DSS The site is designed to provide PSRI with a unique database for training and research with the following objectives :  Provide training to PSRI students on research methodology

10. 7/2/201510 Objectives (con’t)  Provide data for an institutional based research programme  Provide insights into demographic processes for interventions, development planning and evaluation

11. 7/2/201511 Objectives (con’t)  Provide a unique data set for understanding socio-economic and demographic phenomenon

12. 7/2/201512 Design  The site is designed to update the baseline household population on a continuous basis by undertaking monthly registration of births, deaths, movements and marriages  Identify the causes of deaths  Conduct studies to explain the observed changes

13. 7/2/201513 Design  Link the household data with GIS locations for each household

14. 7/2/201514 Utajo B GIS Households with Deaths

15. 7/2/201515 Design  Involvement of community  Community leaders  Research assistants

16. 7/2/201516 Operationalization of the design  Structure  Field activities  Meetings with community  Training and recruitment  Data collection  Students training  Data processing  Analysis and reporting  Preparation for field activities  Dissemination  Research

17. 7/2/201517 Operationalization of the design  Structure  PSRI Academic Board  Director  Rusinga Committee  Field Office  Supervisors  RA/VA RAs

18. 7/2/201518 Operationalization of the design  Field activities  Meeting with administrators and heads of villages  Inform about the DSS activities  Discuss their roles

19. 7/2/201519 Data Collection  Collection is undertaken by 13 Ras who are drawn from the clusters they are assigned  Continuous registration data is collected using seven forms each for a particular event on a monthly basis

20. 7/2/201520 Forms  HH summary  HH for new households  Birth  Death  Migration  Marital status  Dissolved Households

21. 7/2/201521 VA Data Collection  Introduced in 2010  4 RAs  Three tools used deaths < 4 weeks, 4 wks-14 years, 14 yrs and above

22. 7/2/201522 Dissemination  Community leaders  District and NGO staff  County

23. 7/2/201523 Training of Students  Field trips-last field visit with students was in 2007

24. 7/2/201524 Students briefing at Rusinga East Chief Camp

25. 7/2/201525 Rusinga East Chief’s Camp Students Briefing

26. 7/2/201526 Students in the field

27. 7/2/201527 Student collecting data

28. 7/2/201528 Data Management and Processing  Quality  Timeliness

29. 7/2/201529 Data Management Programme  MySql but FoxPro previously  Seven data entry forms  Seven tables

30. 7/2/201530 Tables and Forms TableForm HH summary Household Population Birth Death Migration Marital status Dissolved HH

31. 7/2/201531 Data Processing  Field editing by supervisors  Field editing by coordinator  Office editing data analyst  Data entry  Cleaning

32. 7/2/201532 Data Collection and Processing Cycle  Data collection-1 st week from 1 st of every month  Data processing- 2 nd and 3 rd week  Updating and preparation for the next round-4 th week

33. 7/2/201533 Challenges  Management of data  Supervision  Research projects/Funding  Training for students  Marketing