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Published:
Jan 9, 2013Keywords:
salt iodization survey handheld computer Senegal
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Experience with digital entry of national iodine survey data in Senegal
Abstract
There is growing evidence and enthusiasm for the use of technology to enhance accuracy and speed and minimize the costs of quantitative data surveys. Handheld computers have the potential to facilitate high quality data collection and timely analysis for large complex surveys in developing country contexts. The objective of this paper is to document the experience of using handheld computers for direct data capture in a national survey to monitor progress toward universal salt iodization in
Senegal. Twenty-five personal digital assistants (PDAs) were programmed and used by five teams across 13 regions for entering data from 3768 households over a period of three weeks. The health staff selected to collect the data learned how to manipulate the PDAs within a short amount of time. The PDAs contributed to improved quality of data collection due to automatic skipping of non-applicable questions and selection of individuals eligible for goitre assessment. The PDAs also were programmed to
randomly select one woman and one school-age child within each household for biochemical sample collection. Data on geographic locations were collected for 82% of households surveyed using the PDA’s in-built Global Positioning System (GPS) functionality, which showed the geographical dispersion of these households and which will be used for analysis of results for key indicators by location. Problems with household selection processes, identification coding and standardized interview
methods were observed. While costs for printing questionnaires and manual data entry were saved, significant costs were incurred for PDA technical support by an international consultant. The use of PDAs significantly reduced data processing time. Data were stored and downloaded to a central database, with the full dataset and preliminary results available to stakeholders within one week following the survey
completion. The PDAs are an excellent tool for enhancing capacity to collect complex household survey data and make it available for analysis in a timely manner. Quality training and adequate pre-testing of questionnaires are still essential. Increased use of direct data capture methods in health program design, monitoring and evaluation is
recommended, along with efforts to build local technical capacity.
Senegal. Twenty-five personal digital assistants (PDAs) were programmed and used by five teams across 13 regions for entering data from 3768 households over a period of three weeks. The health staff selected to collect the data learned how to manipulate the PDAs within a short amount of time. The PDAs contributed to improved quality of data collection due to automatic skipping of non-applicable questions and selection of individuals eligible for goitre assessment. The PDAs also were programmed to
randomly select one woman and one school-age child within each household for biochemical sample collection. Data on geographic locations were collected for 82% of households surveyed using the PDA’s in-built Global Positioning System (GPS) functionality, which showed the geographical dispersion of these households and which will be used for analysis of results for key indicators by location. Problems with household selection processes, identification coding and standardized interview
methods were observed. While costs for printing questionnaires and manual data entry were saved, significant costs were incurred for PDA technical support by an international consultant. The use of PDAs significantly reduced data processing time. Data were stored and downloaded to a central database, with the full dataset and preliminary results available to stakeholders within one week following the survey
completion. The PDAs are an excellent tool for enhancing capacity to collect complex household survey data and make it available for analysis in a timely manner. Quality training and adequate pre-testing of questionnaires are still essential. Increased use of direct data capture methods in health program design, monitoring and evaluation is
recommended, along with efforts to build local technical capacity.
