Evidence map›Paper›PMID 30969975›Full record

ArticlePloS one2019

Does mobile phone survey method matter? Reliability of computer-assisted telephone interviews and interactive voice response non-communicable diseases risk factor surveys in low and middle income countries.

George W Pariyo, Abigail R Greenleaf, Dustin G Gibson, Joseph Ali, Hannah Selig, Alain B Labrique, Gulam Muhammed Al Kibria, Iqbal Ansary Khan, Honorati Masanja, Meerjady Sabrina Flora and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04508010 (Comparison of Interactive Voice Response), which is not on this map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04508010 nacompletednot on this mapstarted 2020, after this paper: background citation

Comparison of Interactive Voice Response (IVR) and Computer-assisted Telephone Interview (CATI) Mobile Phone Surveys for Non-communicable Disease Risk Factor Surveillance in Bangladesh

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2020 to 2021Enrolled6,151ConditionsSurveys and Questionnaires, Non Communicable DiseasesArmsIVR, CATI
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Methods to increase response to postal and electronic questionnaires.The Cochrane database of systematic reviews · 2023
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  10. Measuring childhood mortality through mobile phone interviews in Mozambique.Tropical medicine & international health : TM & IH · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

George W PariyoDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID 0000-0002-4411-2309
Abigail R GreenleafDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Dustin G GibsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Joseph AliDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Hannah SeligDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Alain B LabriqueDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Gulam Muhammed Al KibriaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Iqbal Ansary KhanInstitute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.
Honorati MasanjaIfakara Health Institute, Dar es Salaam, United Republic of Tanzania.
Meerjady Sabrina FloraInstitute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.
Saifuddin AhmedDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Adnan A HyderDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIncreased mobile phone subscribership in low- and middle-income countries (LMICs) provides novel opportunities to track population health. The objective of this study was to examine reliability of data in comparing participant responses collected using two mobile phone survey (MPS) delivery modalities, computer assisted telephone interviews (CATI) and interactive voice response (IVR) in Bangladesh (BGD) and Tanzania (TZA).

methodsUsing a cross-over design, we used random digit dialing (RDD) to call randomly generated mobile phone numbers and recruit survey participants to receive either a CATI or IVR survey on non-communicable disease (NCD) risk factors, followed 7 days later by the survey mode not received during first contact; either IVR or CATI. Respondents who received the first survey were designated as first contact (FC) and those who consented to being called a second time and subsequently answered the call were designated as follow-up (FU). We used the same questionnaire for both contacts, with response options modified to suit the delivery mode. Reliability of responses was analyzed using the Cohen's kappa statistic for percent agreement between two modes.

resultsSelf-reported data on demographic characteristics and NCD behavioral risk factors were collected from 482 (CATI-FC) and 653 (IVR-FC) age-eligible and consenting respondents in BGD, and from 387 (CATI-FC) and 674 (IVR-FC) respondents in TZA respectively. Survey follow-up rates were 30.7% (n = 482) for IVR-FU and 53.8% (n = 653) for CATI-FU in BGD; and 42.4% (n = 387) for IVR-FU and 49.9% (n = 674) for CATI-FU in TZA respectively. Overall, there was high consistency between delivery modalities for alcohol consumption in the past 30 days in both countries (kappa = 0.64 for CATI→IVR (BGD), kappa = 0.54 for IVR→CATI (BGD); kappa = 0.66 for CATI→IVR (TZA), kappa = 0.76 for IVR→CATI (TZA)), and current smoking (kappa = 0.68 for CATI→IVR (BGD), kappa = 0.69 for IVR→CATI (BGD); kappa = 0.39 for CATI→IVR (TZA), kappa = 0.50 for IVR→CATI (TZA)). There was moderate to substantial consistency in both countries for history of checking for hypertension and diabetes with kappa statistics ranging from 0.43 to 0.67. There was generally lower consistency in both countries for physical activity (vigorous and moderate) with kappa statistics ranging from 0.10 to 0.41, weekly fruit and vegetable with kappa ranging from 0.08 to 0.45, consumption of foods high in salt and efforts to limit salt with kappa generally below 0.3.

conclusionsThe study found that when respondents are re-interviewed, the reliability of answers to most demographic and NCD variables is similar whether starting with CATI or IVR. The study underscores the need for caution when selecting questions for mobile phone surveys. Careful design can help ensure clarity of questions to minimize cognitive burden for respondents, many of whom may not have prior experience in taking automated surveys. Further research should explore possible differences and determinants of survey reliability between delivery modes and ideally compare both IVR and CATI surveys to in-person face-to-face interviews. In addition, research is needed to better understand factors that influence survey cooperation, completion, refusal and attrition rates across populations and contexts.

Indexed as

Cell PhonePovertySurveys and QuestionnairesAdolescentAdultAgedAutomationBangladeshCross-Over StudiesDeveloping CountriesDiabetes MellitusFemaleHealth SurveysHumansHypertensionMale

Identifiers

PMID30969975
PMCPMC6457489

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.