Presentation by Dr. Miriam King.
IDHS is a new NICHD-funded data integration project that lowers the barriers to cross-temporal and cross-country research using the Demographic and Health Surveys, focusing initially on Africa and India. IDHS recodes data consistently across samples without losing detail, displays variable availability at a glance, offers variable-specific documentation (including question universes and wording and discussion of comparability issues), and merges files on the fly to create customized data extracts. This presentation will summarize MPC’s approach to integrating microdata, with examples from IDHS, describe the value-added features of IDHS, and summarize future plans for IDHS. At the time of the presentation, IDHS will include data on women of childbearing age, their households, and children under 5, from 18 countries and 77 samples.
6. Scope of current grant
Africa (including Egypt) and India
Countries with more than two DHS
Commitment to integrate newest surveys
(e.g., Nigeria 2013)
7. Subject areas
Demographics
Geography
Household possessions
Education, media, SES
Family Planning
Sex practices & attitudes
Condom use & access
HIV/AIDS
Other STIs
Antenatal & delivery care
Insurance, care access
Fistula, TB
Diarrhea, respiratory illness
Child nutrition
Alcohol & tobacco use
Female genital cutting
Domestic violence
Household decision-making
8. Samples—countries & time ranges
Egypt (1988-2008)
Ethiopia (2000-11)
Ghana (1988-2008)
India (1992-2005)
Kenya (1989-2014)
Malawi (1992-2010)
Mali (1987-2012)
Nigeria (1990-2013)
Zimbabwe (1988-2010)
Benin (1996-2012)
Burkina Faso (1993-2010)
Cote d’Ivoire (1994-2012)
Guinea (1999-2012)
Mozambique (1997-2011)
Niger (1992-2012)
Tanzania (1991-2010)
Uganda (1988-2006)
Zambia (1992-2013)
9. Coming in 2016
BIRTHS as a third unit of analysis
Many country-specific variables
New variable groups (e.g., anthropometric)
Cameroon, Madagascar, Rwanda
Additional samples for Egypt, Kenya, Zambia
Applying to continue the grant to include more
samples and countries.
10. 3. HOW TO USE IDHS
Variable availability at a glance
Easy access to variable information
Customized datasets, easy to modify
Variable integration without loss of detail
30. Customized datasets
Log in
Select samples and variables needed
Merge files on the fly, create custom
dataset
Select desired format (SPSS, Stata, SAS,
CSV, ascii)
Download fully-integrated file
31. Easy to modify datasets
Samples, variables, formats are
automatically saved
Simple to add or delete samples or
variables to existing dataset
No harmonization is necessary
Easy to alter or expand analyses