Evidence map›Paper›PMID 28476729›Full record

ArticleJMIR research protocols2017

Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol.

Dustin G Gibson, George William Pariyo, Adaeze C Wosu, Abigail R Greenleaf, Joseph Ali, Saifuddin Ahmed, Alain B Labrique, Khaleda Islam, Honorati Masanja, Elizeus Rutebemberwa and 1 more

10 registry-linked trialsAbstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 10 registered trials, which are not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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.

NCT03768323 nacompletednot on this map

A Randomized Controlled Trial of Varying Airtime Incentive Amounts to Improve Interactive Voice Response (IVR) Survey Performance in Bangladesh and Uganda

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2017 to 2017Enrolled4,233ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArms1X airtime incentive, 2X airtime incentive
NCT03768934 nacompletednot on this mapstarted 2019, after this paper: background citation

A Randomized Controlled Trial of Airtime Incentives to Improve Short Message Service (SMS) Survey Performance in Colombia and Tanzania

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2019 to 2019Enrolled2,151ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArms1X airtime incentive, 2X airtime Incentive, Lottery airtime incentive
NCT03772431 nacompletednot on this map

A Randomized Controlled Trial of Narrative Voice and Introduction Content to Improve Interactive Voice Response (IVR) Survey Performance in Bangladesh and Uganda

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2017 to 2017Enrolled5,580ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArmsFemale Voice, Motivational Introduction, Male Voice, Informational Introduction
NCT03772470 nacompletednot on this mapstarted 2018, after this paper: background citation

A Randomized Controlled Trial of Varying Airtime Amounts to Improve Interactive Voice Response (IVR) Survey Performance in Colombia and Tanzania

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2018 to 2018Enrolled4,723ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArms1X airtime incentive, 2X airtime incentive, Lottery airtime incentive
NCT03772509 nacompletednot on this map

A Randomized Controlled Trial of Varying Introduction Mode to Improve Interactive Voice Response (IVR) Survey Performance in Bangladesh and Tanzania

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2017 to 2017Enrolled1,511ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArmsCATI
NCT03773146 nacompletednot on this map

A Randomized Controlled Trial of Varying Airtime Incentive Structure to Improve Interactive Voice Response (IVR) Survey Performance in Bangladesh and Uganda

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2017 to 2017Enrolled4,550ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArms1X Airtime Incentive, Lottery Airtime Incentive
NCT04394520 nacompletednot on this mapstarted 2018, after this paper: background citation

A Randomized Controlled Trial of Varying Consent Language and Mode to Improve Interactive Voice Response (IVR) Survey Performance in Colombia and Uganda

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2018 to 2019Enrolled3,786ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArmsModified Introduction, Active Opt-in, Active Opt-out, Passive Opt-in
NCT04506918 nacompletednot on this mapstarted 2020, after this paper: background citation

Comparison of Short Message Service (SMS) and Interactive Voice Response (IVR) Mobile Phone Surveys for Non-communicable Disease Risk Factor Surveillance in Tanzania

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2020 to 2021Enrolled6,483ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArmsIVR survey, SMS survey
NCT04506931 nacompletednot on this mapstarted 2021, after this paper: background citation

Comparison of Short Message Service (SMS), Interactive Voice Response (IVR), and Computer Assisted Telephone Interview (CATI) Mobile Phone Surveys for Non-communicable Disease Risk Factor Surveillance in Colombia

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2021 to 2021Enrolled5,676ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArmsSMS Survey, IVR Survey, CATI Survey
NCT04513236 nacompletednot on this map

A Randomized Controlled Trial of Varying Airtime Incentive Timing to Improve Interactive Voice Response (IVR) Survey Performance in Bangladesh and Uganda

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2017 to 2017Enrolled2,287ConditionsSurveys and Questionnaires, Noncommunicable DiseasesArmsPre-survey incentive, Post-survey incentive
3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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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

11 authors.

Dustin G GibsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-9073-3376
George William PariyoDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-4411-2309
Adaeze C WosuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0003-2216-1211
Abigail R GreenleafDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-8261-7025
Joseph AliBerman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-4767-2512
Saifuddin AhmedDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-9884-4580
Alain B LabriqueDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0003-2502-7819
Khaleda IslamInstitute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-8303-0947
Honorati MasanjaIfakara Health Institute, Dar es Salaam, United Republic Of Tanzania.ORCID http://orcid.org/0000-0002-3860-7348
Elizeus RutebemberwaMakerere University School of Public Health, Makerere University College of Health Science, Kampala, Uganda.ORCID http://orcid.org/0000-0001-8363-7928
Adnan A HyderDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-7292-577X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile phone ownership and access have increased rapidly across low- and middle-income countries (LMICs) within the last decade. Concomitantly, LMICs are experiencing demographic and epidemiologic transitions, where non-communicable diseases (NCDs) are increasingly becoming leading causes of morbidity and mortality. Mobile phone surveys could aid data collection for prevention and control of these NCDs but limited evidence of their feasibility exists.

objectiveThe objective of this paper is to describe a series of sub-studies aimed at optimizing the delivery of interactive voice response (IVR) and computer-assisted telephone interviews (CATI) for NCD risk factor data collection in LMICs. These sub-studies are designed to assess the effect of factors such as airtime incentive timing, amount, and structure, survey introduction characteristics, different sampling frames, and survey modality on key survey metrics, such as survey response, completion, and attrition rates.

methodsIn a series of sub-studies, participants will be randomly assigned to receive different airtime incentive amounts (eg, 10 minutes of airtime versus 20 minutes of airtime), different incentive delivery timings (airtime delivered before survey begins versus delivery upon completion of survey), different survey introductions (informational versus motivational), different narrative voices (male versus female), and different sampling frames (random digit dialing versus mobile network operator-provided numbers) to examine which study arms will yield the highest response and completion rates. Furthermore, response and completion rates and the inter-modal reliability of the IVR and CATI delivery methods will be compared.

resultsResearch activities are expected to be completed in Bangladesh, Tanzania, and Uganda in 2017.

conclusionsThis is one of the first studies to examine the feasibility of using IVR and CATI for systematic collection of NCD risk factor information in LMICs. Our findings will inform the future design and implementation of mobile phone surveys in LMICs.

Indexed as

BangladeshCATIIVRmHealthmobile phone surveynoncommunicable diseasessurvey methodologyTanzaniaUganda

Identifiers

PMID28476729
PMCPMC5438454

What OpenQuestion holds

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LicenceCC BY
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Registered trials

and 4 more above

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.