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Kibria GMA, Ahmed S, Khan IA, Fernández-Niño JA, Vecino-Ortiz A, Ali J, Pariyo G, Kaufman M, Sen A, Basu S, Gibson D. Developing digital tools for health surveys in low- and middle-income countries: Comparing findings of two mobile phone surveys with a nationally representative in-person survey in Bangladesh. PLOS Glob Public Health 2023; 3:e0002053. [PMID: 37498841 PMCID: PMC10374008 DOI: 10.1371/journal.pgph.0002053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 07/03/2023] [Indexed: 07/29/2023]
Abstract
Non-communicable disease (NCD) risk factor data from low- and middle-income countries (LMICs) are inadequate, mostly due to the cost and burden of collecting in-person population-level estimates. High-income countries regularly use phone-based surveys, and with increasing mobile phone subscription in developing countries, mobile phone surveys (MPS) could complement in-person surveys in LMICs. We compared the representativeness and prevalence estimates of two MPS (i.e., interactive voice response (IVR) and computer-assisted telephone interview (CATI)) with a nationally representative household survey in Bangladesh-the STEPwise approach to NCD risk factor surveillance (STEPs) 2018. This cross-sectional study included 18-69-year-old respondents. CATI and IVR recruitments were done by random digit dialing, while STEPs used multistage cluster sampling design. The prevalence of NCD risk factors related to tobacco, alcohol, diet, and hypertension was reported and compared by prevalence differences (PD) and prevalence ratios (PR). We included 2355 (57% males), 1942 (62% males), and 8185 (47% males) respondents in the CATI, IVR, and STEPs, respectively. CATI (28%) and IVR (52%) had a higher proportion of secondary/above-educated people than STEPs (13%). Most prevalence estimates differed by survey mode; however, CATI estimates were closer to STEPs than IVR. For instance, in CATI, IVR, and STEPs, respectively, the prevalence was 21.4%, 17.9%, and 23.5% for current smoking; and 1.6%, 2.2%, and 1.5% for alcohol drinking in past month. Compared to STEPs, the PD ranged from '-56.6% to 0.4%' in CATI and '-41.0% to 8.4%' in IVR; the PR ranged from '0.3 to 1.1' in CATI and '0.3 to 1.6' in IVR. There were some differences and some similarities in NCD indicators produced by MPS and STEPs with differences likely due to differences in socioeconomic characteristics between survey participants.
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Affiliation(s)
- Gulam Muhammaed Al Kibria
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Saifuddin Ahmed
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Iqbal Ansary Khan
- Institute of Epidemiology Disease Control and Research (IEDCR), Mohakhali, Dhaka, Bangladesh
| | - Julián A Fernández-Niño
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Andres Vecino-Ortiz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Joseph Ali
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Johns Hopkins Berman Institute of Bioethics, Baltimore, MD, United States of America
| | - George Pariyo
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Michelle Kaufman
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Aninda Sen
- Institute of Epidemiology Disease Control and Research (IEDCR), Mohakhali, Dhaka, Bangladesh
| | - Sunada Basu
- Institute of Epidemiology Disease Control and Research (IEDCR), Mohakhali, Dhaka, Bangladesh
| | - Dustin Gibson
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
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