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  MT7-Open-Access 01/03/2019 01:09:PM

Project Citation: 

Pariyo, George William. JHU Evaluation of Mobile Phone Surveys - CATI-IVR Reliability. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-03-15. https://doi.org/10.3886/E107284V2

Project Description

Summary:  View help for Summary Noncommunicable diseases (NCDs) are the leading cause of death worldwide. Efficient monitoring and surveillance are cornerstones to track progress of NCD burden, related risk factors and policy interventions. The systematic monitoring of risk factors to generate accurate and timely data is essential for a country’s ability to prioritize essential resources and make sound policy decisions to address the growing NCD burden.   With increasing access and use of mobile phones globally, opportunities exist to explore the feasibility of using mobile phone technology as an interim method to collect data and supplement household surveys. Such technologies have the potential to allow for efficiencies in producing timely, affordable, and accurate data to monitor trends, and augment traditional health surveys with new, faster mobile phone surveys.   The Bloomberg Data for Health initiative aims to strengthen the collection and use of critical public health information. One of the components of the initiative aims to explore innovative approaches to NCD surveillance, including the use of mobile phone surveys for NCDs. The main objectives of this component are to assess the feasibility, quality, and validity of nationally representative NCD Mobile Phone Surveys and propose a globally standardized protocol. 
Funding Sources:  View help for Funding Sources Bloomberg Philanthropies (41388.01)

Scope of Project

Subject Terms:  View help for Subject Terms mobile phone survey; computer assisted telephone interviews; interactive voice response; reliability; Bangladesh; Tanzania; mHealth; digital health; noncommunicable diseases; behavioral risk factors; surveillance; low and middle income countries
Geographic Coverage:  View help for Geographic Coverage Bangladesh, Tanzania
Time Period(s):  View help for Time Period(s) 6/20/2017 – 8/31/2017
Collection Date(s):  View help for Collection Date(s) 6/20/2017 – 8/31/2017
Universe:  View help for Universe Mobile phone subscribers and users in Bangladesh and Tanzania for all licensed and operating mobile phone networks
Data Type(s):  View help for Data Type(s) survey data
Collection Notes:  View help for Collection Notes We used random digit dialling (RDD), delivered calls using CATI followed a week later by IVR or vice-versa. Respondents provided a response to a live interviewer over the mobile phone (CATI) or pressed a key on their mobile phone keypad (IVR).

Methodology

Response Rate:  View help for Response Rate Using AAPOR, we calculated response rate #2 as follows:
Bangladesh (BGD) CATI First Contact (CATI-FC) - 6.1%
Bangladesh (BGD) IVR Follow Up (IVR-FU) - 26.0%
Bangladesh (BGD) IVR First Contact (IVR-FC) - 0.9%
Bangladesh (BGD) CATI Follow Up (CATI-FU) - 79.2%
Tanzania (TZA) CATI First Contact (CATI-FC) - 8.7%
Tanzania (TZA) IVR Follow Up (IVR-FU) - 24.0%
Tanzania (TZA) IVR First Contact (IVR-FC) - 1.1%
Tanzania (TZA) CATI Follow Up (CATI-FU) - 84.6%
Sampling:  View help for Sampling We used random digit dialling (RDD) approach. 
All of the mobile network operators (MNOs) registered and active in the country and their unique prefixes that lead the ten-digit mobile phone number were identified for each country. Using these unique prefixes, the remaining digits were then randomly generated via a computer to create a random sample of mobile phone numbers to which the surveys were delivered.
Data Source:  View help for Data Source Respondents aged 18 years and older who answered a mobile phone call.
Collection Mode(s):  View help for Collection Mode(s) computer-assisted telephone interview (CATI); other
Scales:  View help for Scales Categorical
Weights:  View help for Weights Not weighted
Unit(s) of Observation:  View help for Unit(s) of Observation Individual respondents
Geographic Unit:  View help for Geographic Unit Country

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