My da|ra Login

Detailed view

metadata language: English

JHU Evaluation of Mobile Phone Surveys

Version
1
Resource Type
Dataset : survey data
Creator
  • Pariyo, George William (Johns Hopkins University. Bloomberg School of Public Health)
Publication Date
2019-01-02
Funding Reference
  • Bloomberg Philanthropies
    • Award Number: 41388.01
Free Keywords
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
Description
  • Abstract

    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.
  • Weighting

    Not weighted
  • Technical Information

    Response Rates: 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%
  • Technical Information

    Presence of Common Scales: Categorical
Temporal Coverage
  • 2017-06-20 / 2017-08-31
    Time Period: Tue Jun 20 00:00:00 EDT 2017--Thu Aug 31 00:00:00 EDT 2017
  • 2017-06-20 / 2017-08-31
    Collection Date(s): Tue Jun 20 00:00:00 EDT 2017--Thu Aug 31 00:00:00 EDT 2017
Geographic Coverage
  • Bangladesh, Tanzania
Sampled Universe
Mobile phone subscribers and users in Bangladesh and Tanzania for all licensed and operating mobile phone networksSmallest Geographic Unit: Country
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.
Collection Mode
  • computer-assisted telephone interview (CATI)~~other~~

    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).

Availability
Download

Update Metadata: 2019-03-06 | Issue Number: 1 | Registration Date: 2019-03-06

Pariyo, George William (2019): JHU Evaluation of Mobile Phone Surveys. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E107284V1