NCT04506918

Brief Summary

This study focuses on mechanisms to adapt the performance of interactive voice response (IVR) and short message service (SMS) surveys conducted in low-and middle-income (LMIC) setting (Tanzania) and evaluates how the two survey modalities (IVR and SMS) affect survey metrics, including response, completion and attrition rates.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
6,483

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Oct 2020

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

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

First Submitted

Initial submission to the registry

August 7, 2020

Completed
3 days until next milestone

First Posted

Study publicly available on registry

August 10, 2020

Completed
2 months until next milestone

Study Start

First participant enrolled

October 23, 2020

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2021

Completed
Last Updated

April 26, 2022

Status Verified

April 1, 2022

Enrollment Period

6 months

First QC Date

August 7, 2020

Last Update Submit

April 25, 2022

Conditions

Surveys and QuestionnairesNoncommunicable Diseases

Keywords

mobile phone surveysinteractive voice responseshort message service

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 the number of participants with complete interviews, P is the number of participants with partial interviews, and R is the number of participants with 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 the number of participants with complete interviews, P is the number of participants with partial interviews, R is the number of participants with 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)

IVR survey

EXPERIMENTAL

Participants will receive an IVR survey

Other: IVR survey

SMS survey

EXPERIMENTAL

Participants will receive an SMS survey

Other: SMS survey

Interventions

IVR surveyOTHER

Participants will receive an IVR survey

IVR survey
SMS surveyOTHER

Participants will receive a SMS survey

SMS survey

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
  • Conversant in the Swahili language

You may not qualify if:

  • Less than 18 years of age

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

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

  • Dustin Gibson, PhD

    Johns Hopkins University Bloomberg School of Public Health

    PRINCIPAL INVESTIGATOR

  • Honorati Masanja, PhD

    Ifakara Health Institute

    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 will be randomized to one of two arms : 1) IVR or 2) SMS. Participants in the first study arm will receive an IVR survey. Participants in the second study arm will receive a SMS survey.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 7, 2020

First Posted

August 10, 2020

Study Start

October 23, 2020

Primary Completion

April 30, 2021

Study Completion

April 30, 2021

Last Updated

April 26, 2022

Record last verified: 2022-04

Data Sharing

IPD Sharing
Will not share

Locations

TA(1)