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Service Delivery Indicators Health Survey 2012 - Harmonized Public Use Data

Kenya, 2012
Central
Gayle Martin, Shireen Mahdi
Created on January 04, 2017 Last modified January 04, 2017 Page views 23979 Download 1807 Documentation in PDF Study website Metadata DDI/XML JSON

Identification

Survey ID Number
KEN_2012_SDI-H_v01_M_v01_A_PUF
Title
Service Delivery Indicators Health Survey 2012 - Harmonized Public Use Data
Country
Name Country code
Kenya KEN
Study type
Enterprise Survey [en/oth]
Series Information
This survey is part of the Service Delivery Indicators (SDI) project, an initiative of the World Bank, the African Economic Research Consortium, and the African Development Bank. Started in 2012, SDI tracks performance and quality of service delivery in primary schools and frontline health facilities across Africa. Kenya was the first SDI country, following the pilot surveys in Tanzania and Senegal. In 2012-2013, surveys were conducted in Mozambique, Nigeria, Togo and Uganda; in 2014-2016, in Madagascar, Tanzania and Niger. The surveys are repeated every two years.

SDI initiative is a unique 10-year program and the World Bank is the implementing partner for the first five years.

The data distributed here has been harmonized to a common standard to facilitate comparisons across countries and time. The data also has been anonymized to preserve confidentiality of respondents. The harmonization and anonymization work is done by the World Bank's SDI team.

SDI surveys are documented in the Microdata Library as Service Delivery Indicators Health Surveys and Service Delivery Indicators Education Surveys.
Abstract
The SDI provides a set of metrics to benchmark the performance of schools and health facilities in Africa. The Indicators can be used to track progress within and across countries over time, and aim to enhance active monitoring of service delivery to increase public accountability and good governance. Ultimately, the goal of this effort is to help policymakers, citizens, service providers, donors, and other stakeholders enhance the quality of services and improve development outcomes. The perspective adopted by the Indicators is that of citizens accessing a service. The Indicators assemble objective and quantitative information from a survey of frontline service delivery units, using modules from the Public Expenditure Tracking Survey (PETS), Quantitative Service Delivery Survey (QSDS), and Staff Absence Survey (SAS). The SDI initiative is a partnership of the World Bank, the African Economic Research Consortium (AERC), and the African Development Bank. More information on the SDI survey instruments and data, and more generally on the SDI initiative can be found at: www.SDIndicators.org and www.worldbank.org/SDI, or by contacting SDI@worldbank.org.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
There are two different units of analysis: facilities and individuals. Individuals are assessed both for absence and for knowledge.

Version

Version Description
Version 01: Harmonized, anonymous dataset for public distribution.

Scope

Notes
The 2012 Kenya Service Delivery Indicators, Health Survey covered the following topics/ indicators:

Health facility information
- Infrastructure availability
- Medical equipment availability
- Drug availability

Health provider information
- Absence rate
- Caseload per provider

Assessment of health provider knowledge and ability
- Diagnostic accuracy
- Adherence to clinical guidelines
- Management of maternal and neonatal complications

Coverage

Geographic Coverage
Representative of Kenya, rural/urban, and public/private.
Universe
Primary health care facilities and hospitals.

Producers and sponsors

Primary investigators
Name Affiliation
Gayle Martin World Bank Group
Shireen Mahdi World Bank Group
Producers
Name Role
Kenya Institute for Public Policy Research and Analysis Data collection and processing
Kimetrica Data processing
Funding Agency/Sponsor
Name Abbreviation Role
William and Flora Hewlett Foundation Hewlett Foundation Funder
Health Policy Project (USAID) Funder

Sampling

Sampling Procedure
The survey used a multi-stage, cluster sampling strategy which allowed for disaggregation by geographic location (rural and urban); by provider type (public and private non-profit) and facility type (dispensaries/health posts, health centers and first level hospitals).

Sampling strategy
In Kenya, 15 of the 47 counties were chosen. Five counties were pre-selected, Nairobi and Mombasa, as the two most populous cities, and the capital (in the case of Nairobi), along with three others (Nyandarua, Nyamira, and Siaya) selected because of their baseline poverty rates and service delivery outcomes. The remaining ten counties were selected by stratifying the counties by above or below median urbanization; above- or below-median poverty and randomly selecting the counties with probability in proportion to their population size.

Sampling frame
Four data sources were used in developing the sampling frame: (i) Public facilities, Ministries of Health; (ii) Non-public facilities; (iii) Location-specific data on the fraction of the local population living in poverty was obtained from the Kenya National Bureau of Statistics; and (iv) The fraction living in urban areas, was obtained from the national statistical authority.

Stratification
In general, the facilities list was disaggregated by sub-national strata (regions, provinces or districts) and urban/rural location.

For further details of sampling design refer to http://www.sdindicators.org/kenya-health or Annex A of the final report (Kenya Service Delivery Indicators, Education and Health).
Deviations from the Sample Design
None known
Response Rate
Not calculated
Weighting
Weighting coefficient data is available in the dataset

Data Collection

Dates of Data Collection
Start End
2012-09 2012-12
Data Collection Mode
Face-to-face [f2f]

Questionnaires

Questionnaires
Four modules were used, with multiple sections. All but module 4 (ressources) are in the archive.

Module 1 covers: (Section A) metadata; (B) general information; (C) Infrastructure; (D) Equipment, materials, and supplies; and (E) Drugs and consumables.

Module 2 covers: (Section A) basic demographic information on the facility; and (B) additional demographic information on a subset of staff.

Module 3 covers knowledge, as measured through seven patient case simulations.

Module 4 (not in the archive) covers resources and governance.

Data Processing

Data Editing
Data entry and editing was done using CSPro.
Other Processing
Data quality control were done in Stata and the data were harmonized to a reference questionnaire, which is the Tanzania 2014 survey.

Access policy

Access authority
Name Affiliation Email URL
Service Delivery Indicators World Bank sdi@worldbank.org www.worldbank.org/sdi
Contacts
Name Affiliation Email URL
Service Delivery Indicators World Bank Group sdi@worldbank.org www.worldbank.org/sdi
Confidentiality
Data has been anonymized, but users commit to not seeking to re-identify statistical units in the data set.
Access conditions
The harmonized, anonymized datasets are available as public use files.

Researchers who feel that they need non-anonymized data should contact sdi@worldbank.org with a statement of research objectives and a rationale for why they require such data. That will start the Research Use File discussion.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Metadata production

DDI Document ID
DDI_KEN_2012_SDI-H_v01_M_v01_A_PUF_WB
Producers
Name Abbreviation Affiliation Role
Development Data Group DECDG The World Bank Documentation of the DDI
DDI Document version
Version 01 (December 2016)