Evidence map›Paper›PMID 39514850›Full record

ArticleJMIR formative research2024

Designing and Validating a Survey for National-Level Data During the COVID-19 Pandemic in Sri Lanka: Cross-Sectional Mobile Phone Surveys.

Rachael Phadnis, Udara Perera, Veronica Lea, Stacy Davlin, Juliette Lee, Casey Siesel, Dhanushka Abeygunathilaka, S C Wickramasinghe

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

8 authors.

Rachael PhadnisCenters for Disease Control and Prevention Foundation, Atlanta, GA, United States.ORCID 0000-0002-0150-7749
Udara PereraNon-Communicable Diseases Bureau, Ministry of Health, Colombo, Sri Lanka.ORCID 0009-0002-2773-1463
Veronica LeaCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-3683-1485
Stacy DavlinCenters for Disease Control and Prevention Foundation, Atlanta, GA, United States.ORCID 0000-0002-1025-8270
Juliette LeeCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0009-0000-4088-9607
Casey SieselCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-3104-5685
Dhanushka AbeygunathilakaNon-Communicable Diseases Bureau, Ministry of Health, Colombo, Sri Lanka.ORCID 0000-0002-7367-4079
S C WickramasingheNon-Communicable Diseases Bureau, Ministry of Health, Colombo, Sri Lanka.ORCID 0000-0001-7949-6077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has generated a demand for timely data, resulting in a surge of mobile phone surveys for tracking the impacts of and responses to the pandemic. Mobile phone surveys have become a preferred mode of data collection across low- and middle-income countries.

objectiveThis study piloted 2 population-based, cross-sectional mobile phone surveys among Sri Lankan residents in 2020 and 2021 during the COVID-19 pandemic. The surveys aimed to gather data on knowledge, attitudes, and practices, vaccine acceptability, availability, and barriers to COVID-19 testing, and use of a medicine distribution service.

methodsThe study used Surveda, an open-source survey tool developed by the NCD (noncommunicable disease) Mobile Phone Survey Data 4 Health Initiative, for data collection and management. The surveys were conducted through interactive voice response using automated, prerecorded messages in Sinhala, Tamil, and English. The sample design involved random sampling of mobile phone numbers, stratified by sex, proportional to the general population. Eligibility criteria varied between surveys, targeting adults aged 35 years and older with any noncommunicable disease for the first survey and all adults for the second survey. The data were adjusted to population estimates, and statistical analysis was conducted using SAS (SAS Institute) and R software (R Core Team). Descriptive statistics, Rao-Scott chi-square tests, and z tests were used to analyze the data. Response rates, cooperation rates, and productivity of the sampling approach were calculated.

resultsIn the first survey, n=5001, the overall response rate was 7.5%, with a completion rate of 85.6%. In the second survey, n=1250, the overall response rate was 10.9%, with a completion rate of 61.9%. Approximately 3 out of 4 adults reported that they avoided public places (888/1175, 75.6%), more than two-thirds avoided public transportation (808/1173, 68.9%), and 9 out of 10 practiced physical distancing (1046/1167, 89.7%). Approximately 1 out of 10 Sri Lankan persons reported being tested for COVID-19, and the majority of those received a polymerase chain reaction test (112/161, 70%). Significantly more males than females reported being tested for COVID-19 (98/554, 17.8% vs 61/578, 10.6%, respectively; P<.001). Finally, the majority of adult Sri Lankan people reported that they definitely or probably would get the COVID-19 vaccination (781/1190, 65.7%).

conclusionsThe surveys revealed that, overall, the adult Sri Lankan population adhered to COVID-19 mitigation strategies. These findings underscore the use of mobile phone surveys in swiftly and easily providing essential data to inform a country's response during the COVID-19 pandemic, obviating the need for face-to-face data collection.

Indexed as

Cell PhoneCOVID-19PandemicsAdultAgedCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSARS-CoV-2Sri LankaSurveys and QuestionnairesCOVID-19COVID-19 vaccinationdata collectionlow-income countriesmiddle-income countriesmobile phone surveynational surveypandemicpilot studypopulation-based studySri Lankasurvey methodologyvaccinevaccine acceptability

Identifiers

PMID39514850
PMCPMC11584550

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.