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Interactive voice response surveys as a method for increasing the representativeness of rural respondents in a mortality mobile phone survey: Findings from Malawi.

作者信息

Tlhajoane Malebogo, Muthema Funny, Chasukwa Michael, McCain Kelly, Luhar Shammi, Prieto Julio Romero, Saikolo Jacob, Manhica Cremildo, Walters Sarah, Dulani Boniface, Reniers Georges

机构信息

Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

出版信息

Trop Med Int Health. 2025 Sep;30(9):937-945. doi: 10.1111/tmi.70005. Epub 2025 Jul 10.


DOI:10.1111/tmi.70005
PMID:40636986
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12401643/
Abstract

OBJECTIVES: Our study aims to (i) evaluate the yield and costs of a fully automated interactive voice response survey as a screening tool for identifying rural respondents for participation in a mortality mobile phone survey, and (ii) compare mortality survey call outcomes among interactive voice response pre-screened and unscreened numbers. METHODS: In order to identify respondents living in rural areas, a short interactive voice response survey was conducted among 24,924 unique mobile phone numbers to determine place of residence (Rural vs. Other). We calculated the proportion of rural numbers derived from the interactive voice response survey among all numbers dialled. Mobile phone numbers screened with interactive voice response were then combined with those generated via random digit dialling and used in a national mortality mobile phone survey in Malawi. Final dispositions for each mobile number dialled were compared for both groups by testing the difference in proportions. RESULTS: Approximately half of all phone numbers dialled in the interactive voice response survey were answered, and among them, 33.9% indicated that they lived in a rural area. The cost per completed interactive voice response was US$8.75 and just under half of the numbers screened by interactive voice response later resulted in a completed mortality mobile phone survey, at a cost of US$17.4 per completed mortality survey. In comparison, less than a quarter of the numbers that were not screened through interactive voice response resulted in a completed mortality survey (45.3% vs. 22.3%, p <0.001). On average, 12 call attempts were required to complete a mortality survey interview in the unscreened group, compared to 6.3 call attempts among the interactive voice response pre-screened numbers. CONCLUSIONS: Interactive voice response surveys can be used to increase the representation of rural respondents in mobile phone surveys at an acceptable cost. Modifications to the interactive voice response survey process (e.g., survey timing and number of call attempts) should be explored further to increase engagement.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/67657b43f22c/TMI-30-937-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/24687731bc04/TMI-30-937-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/04177f539fdb/TMI-30-937-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/2b48d3b9e652/TMI-30-937-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/67657b43f22c/TMI-30-937-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/24687731bc04/TMI-30-937-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/04177f539fdb/TMI-30-937-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/2b48d3b9e652/TMI-30-937-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c245/12401643/67657b43f22c/TMI-30-937-g003.jpg

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本文引用的文献

[1]
A nationwide mobile phone survey for tobacco use in Tanzania: Sample quality and representativeness compared to a household survey.

Prev Med Rep. 2024-1-12

[2]
Measuring under-5 mortality and fertility through mobile phone surveys: an assessment of selection bias in 34 low-income and middle-income countries.

BMJ Open. 2023-11-17

[3]
Improving success of non-communicable diseases mobile phone surveys: Results of two randomized trials testing interviewer gender and message valence in Bangladesh and Uganda.

PLoS One. 2023

[4]
Do referrals improve the representation of women in mobile phone surveys?

J Dev Econ. 2023-5

[5]
Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa.

Elife. 2022-10-18

[6]
Population Health Surveillance Using Mobile Phone Surveys in Low- and Middle-Income Countries: Methodology and Sample Representativeness of a Cross-sectional Survey of Live Poultry Exposure in Bangladesh.

JMIR Public Health Surveill. 2021-11-12

[7]
Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions.

Food Policy. 2021-12

[8]
Validity of using mobile phone surveys to evaluate community health worker program in Mali.

BMC Med Res Methodol. 2021-6-3

[9]
Leveraging mobile phone surveys during the COVID-19 pandemic in Ecuador and Sri Lanka: Methods, timeline and findings.

PLoS One. 2021

[10]
Snowball Sampling Study Design for Serosurveys Early in Disease Outbreaks.

Am J Epidemiol. 2021-9-1

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