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.
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.
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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.
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.
Comparison of Interactive Voice Response (IVR) and Computer-assisted Telephone Interview (CATI) Mobile Phone Surveys for Non-communicable Disease Risk Factor Surveillance in Bangladesh
Who cites it
40 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Will patient data collection methods change after a pandemic? A systematic review of the strengths, challenges and opportunities of this new scenario.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025Pooled it
- Methods to increase response to postal and electronic questionnaires.The Cochrane database of systematic reviews · 2023Pooled it
- Performance and Resource Requirements of In-Person, Voice Call, and Automated Telephone-Based Socioeconomic Data Collection Modalities for Community-Based Health Programs: A Systematic Review.JAMA network open · 2022Pooled it
- Promised and Lottery Airtime Incentives to Improve Interactive Voice Response Survey Participation Among Adults in Bangladesh and Uganda: Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- First dual-frame telephone survey for non-communicable disease risk and protective factors: Methods and main findings from a central Brazilian state, 2022.Public health in practice (Oxford, England) · 2026Article
- Patient-reported quality of primary care and facility endorsement in Addis Ababa.BMC health services research · 2026Article
- Child Vaccination Status and Behavioral and Social Drivers of Vaccination Among Their Caregivers in the Philippines: Cross-Sectional Survey Study Comparison of Household, Mobile, and Online Modes.Journal of medical Internet research · 2026Article
- Understanding retention in longitudinal surveys conducted by mobile phone in lower-resource contexts: A case study from Kenya.PloS one · 2026Article
- Computer-Assisted Mobile Phone Interviews in Low- and Middle-Income Countries Through a Total Survey Error Framework.Public opinion quarterly · 2026Review
- Measuring childhood mortality through mobile phone interviews in Mozambique.Tropical medicine & international health : TM & IH · 2025Article
- Validating self-administration as an agile modality for high-frequency diet quality data collection.PloS one · 2025Article
- Article
- A feasibility study: Using mobile phone-based tools to collect community-level Behavioral and Social Drivers (BeSD) of vaccination data in Zambia.PLOS global public health · 2025Article
- Exploring barriers to IVR surveys and the effectiveness of human follow-up calls: insights from a mixed methods study in Uganda.Oxford open digital health · 2025Article
- Factors associated with COVID-19 vaccine uptake and hesitancy among women of reproductive age in Mozambique.Frontiers in public health · 2025Article
- Assessing trends in non-coverage bias in mobile phone surveys for estimating insecticide-treated net coverage: a cross-sectional analysis in Tanzania, 2007-2017.BMJ public health · 2025Article
- Recruiting hard-to-reach populations via respondent driven sampling for mobile phone surveys in Colombia: a qualitative study.Global health action · 2024Article
- Article
- Mobile Phone Syndromic Surveillance for Respiratory Conditions in an Emergency (COVID-19) Context in Colombia: Representative Survey Design.Journal of medical Internet research · 2024Article
- Telephone follow-up based on artificial intelligence technology among hypertension patients: Reliability study.Journal of clinical hypertension (Greenwich, Conn.) · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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