Objectives: The Noncommunicable Disease (NCD) Mobile Phone Survey, a component of the Bloomberg Philanthropies Data for Health Initiative, determines the prevalence of NCDs and their associated risk factors and demonstrates the use of mobile phone administered surveys to supplement periodic national household surveys. The NCD Mobile Phone Survey uses Surveda to administer the survey; Surveda is an open source, multi-modal software specifically developed for the project. The objective of the paper is to describe Surveda, review data collection methods used in participating countries and discuss how Surveda and similar approaches can improve public health surveillance.
Methods: Surveda features full-service survey design and implementation through a web application and collects data via Short Messaging Service (SMS), Interactive Voice Response (IVR) or mobile web. Surveda’s survey design process employs five steps: creating a project, creating questionnaires, designing and starting a survey, monitoring survey progress, and exporting survey results.
Results: The NCD Mobile Phone Survey has been successfully conducted in five countries, Zambia (2017), Philippines (2018), Morocco (2019), Malawi (2019), and Sri Lanka (2019), with a total of 23,682 interviews completed.
Discussion: This approach to data collection demonstrates that mobile phone surveys can supplement face-to-face data collection methods. Furthermore, Surveda offers major advantages including automated mode-switch, question randomization and comparison features.
Conclusion: Accurate and timely survey data informs a country’s abilities to make targeted policy decisions while prioritizing limited resources. The high acceptance of Surveda demonstrates that the use of mobile phones for surveillance can deliver accurate and timely data collection.
Tracking graduates of job training programs is increasingly important, given high youth unemployment and the need to understand labour market outcomes to inform policy and program decisions. We describe the strengths and weaknesses of using text messaging to survey 2180 graduates of Vocational Training Centres in three Kenyan counties. The response rate was 18 percent. The short message service survey over-represented urban graduates and those from private Vocational Training Centres, and 39 percent were answered by someone other than the intended respondentseriously jeopardizing data quality. We report lessons learned and offer recommendations for designing graduate tracking surveys.
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