NCT03772509

Brief Summary

This study evaluates the effect of two different introduction modes on interactive voice response (IVR) survey cooperation, response, refusal, and contact rates, in Bangladesh and Tanzania.

Trial Health

90
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,511

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jun 2017

Shorter than P25 for not_applicable

Geographic Reach
2 countries

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 14, 2017

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 18, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 18, 2017

Completed
1.3 years until next milestone

First Submitted

Initial submission to the registry

December 10, 2018

Completed
1 day until next milestone

First Posted

Study publicly available on registry

December 11, 2018

Completed
Last Updated

May 22, 2023

Status Verified

December 1, 2018

Enrollment Period

2 months

First QC Date

December 10, 2018

Last Update Submit

May 19, 2023

Conditions

Keywords

mobile phone surveysinteractive voice responsecomputer-assisted telephone interviewsintroduction mode

Outcome Measures

Primary Outcomes (2)

  • Cooperation Rate #1

    As defined by American Association for Public Opinion Research, cooperation rate is defined as I/(I+P+R) where I is complete interviews, P is partial interviews, and R is refusals and breakoffs.

    Through study completion, an average of one month

  • Response Rate #4

    As defined by American Association for Public Opinion Research, response rate is defined as (I+P)/(I+P+R+eU) where I is complete interviews, P is partial interviews, R is refusals and breakoffs, and eU is the estimated eligible proportion of unknowns

    Through study completion, an average of one month

Secondary Outcomes (2)

  • Refusal Rate #2

    Through study completion, an average of one month

  • Contact Rate #2

    Through study completion, an average of one month

Study Arms (2)

CATI

EXPERIMENTAL

Introduction and consent via computer assisted telephone interview

Other: CATI

IVR

NO INTERVENTION

Introduction and consent via interactive voice response

Interventions

CATIOTHER

The participants in this arm were read the introduction and asked for consent by a call center employee using computer-assisted telephone interviewing and then were sent a noncommunicable disease risk factor survey via interactive voice response. This mode was used to motivate participants to complete the survey.

CATI

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Access to a mobile phone
  • Greater or equal to 18 years of age
  • In Bangladesh, conversant in either English or Bangla language. In Uganda, conversant in either Luo, Luganda, Runyakitara, or English languages.

You may not qualify if:

  • Less than 18 years of age

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Institute of Epidemiology Disease Control and Research

Dhaka, Bangladesh

Location

Ifakara Health Institute

Dar es Salaam, Tanzania

Location

Related Publications (4)

  • Gibson DG, Pariyo GW, Wosu AC, Greenleaf AR, Ali J, Ahmed S, Labrique AB, Islam K, Masanja H, Rutebemberwa E, Hyder AA. Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol. JMIR Res Protoc. 2017 May 5;6(5):e81. doi: 10.2196/resprot.7534.

    PMID: 28476729BACKGROUND
  • Gibson DG, Pereira A, Farrenkopf BA, Labrique AB, Pariyo GW, Hyder AA. Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review. J Med Internet Res. 2017 May 5;19(5):e139. doi: 10.2196/jmir.7428.

    PMID: 28476725BACKGROUND
  • Gibson DG, Farrenkopf BA, Pereira A, Labrique AB, Pariyo GW. The Development of an Interactive Voice Response Survey for Noncommunicable Disease Risk Factor Estimation: Technical Assessment and Cognitive Testing. J Med Internet Res. 2017 May 5;19(5):e112. doi: 10.2196/jmir.7340.

    PMID: 28476724BACKGROUND
  • Hyder AA, Wosu AC, Gibson DG, Labrique AB, Ali J, Pariyo GW. Noncommunicable Disease Risk Factors and Mobile Phones: A Proposed Research Agenda. J Med Internet Res. 2017 May 5;19(5):e133. doi: 10.2196/jmir.7246.

    PMID: 28476722BACKGROUND

MeSH Terms

Conditions

Noncommunicable Diseases

Condition Hierarchy (Ancestors)

Disease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Adnan A Hyder, PhD, MBBS

    Johns Hopkins University Bloomberg School of Public Health

    PRINCIPAL INVESTIGATOR
  • George W. Pariyo, PhD

    Johns Hopkins University Bloomberg School of Public Health

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: Participants were randomized to one of two introduction and consent modes: 1) computer-assisted telephone interviews, or 2) interactive voice response.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 10, 2018

First Posted

December 11, 2018

Study Start

June 14, 2017

Primary Completion

August 18, 2017

Study Completion

August 18, 2017

Last Updated

May 22, 2023

Record last verified: 2018-12

Data Sharing

IPD Sharing
Will not share

Locations