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Comparison of IVR and CATI Surveys in Bangladesh

Johns Hopkins Bloomberg School of Public Health logo

Johns Hopkins Bloomberg School of Public Health

Status

Completed

Conditions

Surveys and Questionnaires
Non Communicable Diseases

Treatments

Other: CATI
Other: IVR

Study type

Interventional

Funder types

Other

Identifiers

NCT04508010
00007318 - Bangladesh

Details and patient eligibility

About

This study focuses on mechanisms to adapt the performance of interactive voice response (IVR) and computer assisted telephone interviews (CATI) surveys conducted in low-and middle-income (LMIC) setting (Bangladesh) and evaluates how the two survey modalities (IVR and CATI) affect survey metrics, including response, completion and attrition rates.

Full description

Using random digit dialing (RDD) sampling technique, participants will be randomized to one of two arms : 1) IVR or 2) CATI. Participants in the first study arm will receive an IVR survey. Participants in the second study arm will receive a CATI survey. Each questionnaire contains a set of demographic questions and one non-communicable disease (NCD) module (alcohol, or tobacco, or diet, or physical activity, or blood pressure and diabetes). We will examine contact, response, refusal and cooperation rates and demographic representativeness by each study arm.

Enrollment

6,151 patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Access to a mobile phone
  • Greater or equal to 18 years of age
  • In Bangladesh, conversant in Bengali language

Exclusion criteria

  • Less than 18 years of age

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

6,151 participants in 2 patient groups

IVR survey
Experimental group
Description:
Participants will receive an IVR survey
Treatment:
Other: IVR
CATI survey
Experimental group
Description:
Participants will receive a CATI survey
Treatment:
Other: CATI

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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