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POPULATION STUDIES AND RESEARCH INSTITUTE (PSRI)

UNIVERSITY OF NAIROBI, KENYA

RUSINGA DSS

ON THURSDAY 12TH MARCH 2015

PRESENTATION OUTLINE

Background to the Rusinga DSS Objectives Design Activities Potential uses Next steps

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Background The Island covers an area of 44 sq

km stretching 10km East-West and 4 km North-South

The site is divided into: Two locations, six sub locations and 42 EAs (Clusters)

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Rationale and Establishment

Area had adverse health outcomes based on previous data sets such as censuses Examples- high mortality and fertility -

high HIV prevalence The site was established in 2001 baseline

household survey which provided the baseline data for the DSS

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Objectives Provide training to PSRI students on research

methodology Provide data for an institutional based research

program Provide insights into demographic processes for

interventions, development planning and evaluation

Provide a unique data set for understanding socio-economic and demographic phenomenon

To help community address their own problems

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Design The site is designed to update the baseline

household population on a continuous basis by undertaking regular registration of births, deaths, movements and marriages

Link the household data with GIS locations for each household

Conduct studies to explain the observed changes The site is community based meaning that there

is community involvement in data collection

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Data Collection

Routine longitudinal data collection - Collection is undertaken by 13 Research Assistants who are drawn from the clusters they are assigned

Continuous registration data is collected using six forms each for a particular event on a monthly basis followed by

Verbal Autopsy to capture causes of death at end of every round

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Dissemination

Community

County

National

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Training of Students

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Field trips

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Data collection

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Research Assistants conducting household interviews in a household

Data collection

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Research Assistants conducting household interviews in a household

Updates

21 rounds undertaken since 2001

21st Round - November 2014

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Some Results

Population and household changes rate of occurrence of events- births, deaths,

migration family formation – occurrence of marriages, Rate of formation and dissolution of

households

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Household and Population Trends

July 2001(Baseline)

March 2006 Feb2009

Oct 2014

No of Households 4,161 4,862 5,061 6567

Population 17,551 20,407 22,548 37308

Household growth rate

3 % 1.3 % 5 %

Population growth rate

3 % 3 % 8 %

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Key CharacteristicsPopulation in early stages of demographic transition: high fertility, mortality and youthful

HH conditions are reflective of majority of population being of low socio-economic status

High school drop out rates particularly for girls in the initial stages

Prevalence of early marriage High orphan hood rates Unsafe drinking water Deaths concentrated in only a few households

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Major Causes of Death

TB HIV/AIDS Malaria Pneumonia

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Potential Uses

Trends on population growth and household growth rates are useful for planning –

Such as future school going population, heath facility needs , provision of services such as safe water , electricity etc

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Potential Uses

Interventions – for example the high mortality in the region and fact that most deaths occur in only a few households calls for targeted interventions

testing extent to which services are utilized – school age population not attending school, health personnel per population

Determination of Proportion of children without birth certificates

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Next steps – Proposed survey

After baseline in 2001, what has changed in the

Community in terms of:

household living conditions (amenities) – what is the impact of development activities in the lives of people in the region?

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Next steps – Proposed survey Involvement of GOK (8th Country programme) –

Rusinga is part of Homabay county which is designated as having high burden of maternal mortality – what is the level of mortality and extent of utilization of services in the region?

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Next steps – Proposed survey PSRI plans to monitor use of MNCH to inform

interventions on MNCH and identify potential interventions.

To monitor extent of birth death registration and track why low levels of registration still occur

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