A newer version of this project is available. See below for other available versions.

JHU Evaluation of Mobile Phone Surveys

Principal Investigator(s): View help for Principal Investigator(s) George William Pariyo, Johns Hopkins University. Bloomberg School of Public Health

Version: View help for Version V1

Version Title: View help for Version Title CATI-IVR Reliability Open Access Data

Name	File Type	Size	Last Modified
MT7-Open-Access			01/03/2019 01:09:PM

Project Citation:

Pariyo, George William. JHU Evaluation of Mobile Phone Surveys. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-03-06. https://doi.org/10.3886/E107284V1

Project Description

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: Bloomberg Philanthropies (41388.01)

Scope of Project

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: Bangladesh, Tanzania

Time Period(s): 6/20/2017 – 8/31/2017

Collection Date(s): 6/20/2017 – 8/31/2017

Universe: Mobile phone subscribers and users in Bangladesh and Tanzania for all licensed and operating mobile phone networks

Data Type(s): survey data

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: 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: 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: Respondents aged 18 years and older who answered a mobile phone call.

Collection Mode(s): computer-assisted telephone interview (CATI); other

Scales: Categorical

Weights: Not weighted

Unit(s) of Observation: Individual respondents

Geographic Unit: Country

Related Publications

Download this project

Published Versions

V2 [2019-03-15]

V1 [2019-03-06]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.