@Article{info:doi/10.2196/49708,
author="Phadnis, Rachael
and Perera, Udara
and Lea, Veronica
and Davlin, Stacy
and Lee, Juliette
and Siesel, Casey
and Abeygunathilaka, Dhanushka
and Wickramasinghe, S C",
title="Designing and Validating a Survey for National-Level Data During the COVID-19 Pandemic in Sri Lanka: Cross-Sectional Mobile Phone Surveys",
journal="JMIR Form Res",
year="2024",
month="Nov",
day="8",
volume="8",
pages="e49708",
keywords="pilot study; mobile phone survey; survey methodology; COVID-19; data collection; national survey; pandemic; population-based study; Sri Lanka; middle-income countries; low-income countries; vaccine acceptability; vaccine; COVID-19 vaccination",
abstract="Background: The 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. Objective: This 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. Methods: The 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. Results: In 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{\%}). Conclusions: The 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. ",
issn="2561-326X",
doi="10.2196/49708",
url="https://formative.jmir.org/2024/1/e49708",
url="https://doi.org/10.2196/49708"
}