Joe Brew
Evidence of high bed net usage from a list randomization experiments in rural Gambia
Brew, Joe; Pinder, Margaret; D’Alessandro, Umberto; Lindsay, Steven W.; Jones, Caroline; Sicuri, Elisa
Authors
Margaret Pinder
Umberto D’Alessandro
Professor Steve Lindsay s.w.lindsay@durham.ac.uk
Professor
Caroline Jones
Elisa Sicuri
Abstract
Background: Recording behaviours that have the potential to impact health can be doubly challenging if the behaviour takes place in private spaces that cannot be observed directly, and where respondents answer what they think the recorder may want to hear. Sleeping under a long-lasting insecticidal net (LLIN) is an important intervention for malaria prevention, yet it is difficult to gauge the extent to which coverage (how many nets are in the community) differs from usage (how many people actually sleep under a net). List randomization, a novel method which partially obscures respondents’ answers to sensitive questions, was employed to estimate LLIN usage in The Gambia. Methods: 802 heads-of-household from 15 villages were recruited into a randomized controlled trial assessing the effect of a housing intervention on malaria. These houses were randomly assigned to a housing intervention versus control, with stratification by village so as to ensure balance between arms. From these, 125 households (63 intervention, 52 control) were randomly selected for participation in the list randomization experiment, along with 68 households from the same villages but which were not part of the housing improvement study, resulting in a total of 196 households for the list randomization experiment. Approximately half (n = 97) of the 196 study participants were randomly assigned to the control group and received a four-question list about non-sensitive behaviours; the intervention group (n = 99) received the same list, with the addition of one question on a sensitive behaviour: whether or not they had used a bed net the previous night. Participants were read the list of questions and then said how many of the statements were true. Bed net usage was estimated by calculating the difference in means between the number of affirmative responses between the two groups. Results: The mean number of affirmative responses in the control group was 2.60 of four statements (95% confidence interval, 95% CI 2.50–2.70), compared with 3.68 (95% CI 3.59–3.78) in the intervention group. Such difference (1.08; 95% CI 94.9–100%) suggests near universal bed net usage. Conclusions: Bed net usage by household heads in these rural villages was found to be high. Though not entirely unexpected given other studies’ estimates of high bed net usage in the area, the list randomization method should be further validated in an area with lower coverage.
Citation
Brew, J., Pinder, M., D’Alessandro, U., Lindsay, S. W., Jones, C., & Sicuri, E. (2020). Evidence of high bed net usage from a list randomization experiments in rural Gambia. Malaria Journal, 19(1), Article 248. https://doi.org/10.1186/s12936-020-03322-5
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 7, 2020 |
Online Publication Date | Jul 13, 2020 |
Publication Date | 2020 |
Deposit Date | Jul 24, 2020 |
Publicly Available Date | Jul 24, 2020 |
Journal | Malaria Journal |
Electronic ISSN | 1475-2875 |
Publisher | BioMed Central |
Peer Reviewed | Peer Reviewed |
Volume | 19 |
Issue | 1 |
Article Number | 248 |
DOI | https://doi.org/10.1186/s12936-020-03322-5 |
Public URL | https://durham-repository.worktribe.com/output/1259992 |
Files
Published Journal Article
(750 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
You might also like
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search