WLD_2012-2017_SPRING_v01_M
Surveys of the Sustainable Programme Incorporating Nutrition & Games 2012-2017
Cross-sectional and longitudinal surveys of child feeding, child growth, child development, and related maternal outcomes
Name | Country code |
---|---|
India | IND |
Pakistan | PAK |
Impact Evaluation Study
Sample survey data [ssd]
The final SPRING impact evaluation datasets comprise of the:
Data have been anonymised by the removal of parent and child names, dates of birth, dates of visit, and original IDs that could link this database to the original non-anonymous survey data. Ages of children and mothers at the time of each visit, and the month and year of birth of the children have been included.
National coverage
Name | Affiliation |
---|---|
Betty Kirkwood | London School of Hygiene and Tropical Medicine |
Atif Rahman | University of Liverpool |
Zelee Hill | University College London |
Jolene Skordis-Worall | University College London |
Name | Affiliation | Role |
---|---|---|
Reetabrata Roy | London School of Hygiene and Tropical Medicine | Questionnaire design, data collection, processing and analysis |
Siham Sikander | Ministry of National Health Services Regulations & Coordination, Islamabad Pakistan | Questionnaire design, data collection and processing |
Seyi Soremekun | London School of Hygiene and Tropical Medicine | Data processing and analysis |
Name |
---|
Wellcome Trust Programme Grant |
Strategic Impact Evaluation Fund |
The SPRING intervention was evaluated through cluster randomised trials in India and in Pakistan. Baseline surveys were conducted in each site prior to the implementation of the interventions and baseline data were used to inform the randomisation (to ensure balance between intervention arms for key variables).
Sample Size
The sample sizes shown in Table 1.2.1 in “Guide to the SPRING Evaluation Databases and Database Indicators” document were sufficient to give at least 80% power for gender specific analyses and 90% power when boys and girls were combined. All sample sizes were adjusted to take into account the cluster randomized design based on the intra-cluster correlation coefficient (ICC) and the average cluster size. They have also been adjusted to allow 20% losses to follow both from birth to 1 year of age and from 1 year to 18 months of age.
Start | End | Cycle |
---|---|---|
2012-08 | 2013-07 | Baseline survey Pakistan |
2014-06 | 2014-10 | Baseline survey India |
2014-05 | 2016-08 | Longitudinal feeding survey Pakistan |
2015-06 | 2017-07 | Longitudinal feeding survey India |
2015-05 | 2016-10 | 12-month assessment survey Pakistan |
2016-07 | 2017-04 | 12-month assessment survey India |
2015-11 | 2016-08 | 18-month assessment survey Pakistan |
2017-01 | 2017-10 | 18-month assessment survey India |
Baseline Surveys
Baseline surveys were conducted through house to house visits of all households within the trial evaluation clusters by fieldworkers recruited for the surveillance system to be resident in each cluster, with one fieldworker per cluster. They were carried out at the same time as registering all women into the surveillance systems who were aged less than 50 years, married, not sterilized and whose husbands were not sterilised.
The surveys used a baseline questionnaire administered through a mobile based application, which collected data on the youngest child aged less than 5 years including questions on maternal education, place of delivery of the youngest child plus breastfeeding and infant feeding practices. It also recorded GPS coordinates for each household. This was followed by an anthropometry survey which was carried out by supervisory level staff for children identified who were aged 18-30 months. In India, this was conducted alongside the baseline survey. In Pakistan, the anthropometry survey was carried out later as a separate cross-sectional exercise.
Name | Affiliation | |
---|---|---|
Microdata Library | World Bank | microdata@worldbank.org |
UNTIL DECEMBER 2019: Licensed datasets, accessible under conditions and following review.
FROM JANUARY 2020: Public use files, accessible to all after registration
Use of the dataset must be acknowledged using a citation which would include:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
---|---|---|
Julieta M Trias | World Bank | jtrias@worldbank.org |
Betty Kirkwood | London School of Hygiene and Tropical Medicine | betty.kirkwood@lshtm.ac.uk |
DDI_WLD_2012-2017_SPRING_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2018-12-28
Version 01
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