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Increasing participation in a vector control campaign: a cluster randomised controlled evaluation of behavioural economic interventions in Peru

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dc.contributor.author Buttenheim, Alison M.
dc.contributor.author Paz-Soldán, Valerie A.
dc.contributor.author Castillo-Neyra, Ricardo
dc.contributor.author Toledo Vizcarra, Amparo M.
dc.contributor.author Borrini-Mayori, Katty
dc.contributor.author McGuire, Molly
dc.contributor.author Arevalo-Nieto, Claudia
dc.contributor.author Volpp, Kevin G.
dc.contributor.author Small, Dylan S.
dc.contributor.author Behrman, Jere R.
dc.contributor.author Naquira-Verlarde, Cesar
dc.contributor.author Levy, Michael Z.
dc.date.accessioned 2018-11-30T17:17:13Z
dc.date.available 2018-11-30T17:17:13Z
dc.date.issued 2018
dc.identifier.uri https://hdl.handle.net/20.500.12866/4097
dc.description.abstract Objective: To assess the efficacy of strategies informed by behavioural economics for increasing participation in a vector control campaign, compared with current practice. Design: Pragmatic cluster randomised controlled trial. Setting: Arequipa, Peru. Participants: 4922 households. Interventions: Households were randomised to one of four arms: advanced planning, leader recruitment, contingent group lotteries, or control. Main outcome measures: Participation (allowing the house to be sprayed with insecticide) during the vector control campaign. Results: In intent-to-treat analyses, none of the interventions increased participation compared with control (advanced planning adjusted OR (aOR) 1.07 (95% CI 0.87 to 1.32); leader recruitment aOR 0.95 (95% CI 0.78 to 1.15); group lotteries aOR 1.12 (95% CI 0.89 to 1.39)). The interventions did not improve the efficiency of the campaign (additional minutes needed to spray house from generalised estimating equation regressions: advanced planning 1.08 (95% CI -1.02 to 3.17); leader recruitment 3.91 (95% CI 1.85 to 5.97); group lotteries 3.51 (95% CI 1.38 to 5.64)) nor did it increase the odds that houses would be sprayed in an earlier versus a later stage of the campaign cycle (advanced planning aOR 0.94 (95% CI 0.76 to 1.25); leader recruitment aOR 0.68 (95% CI 0.55 to 0.83); group lotteries aOR 1.19 (95% CI 0.96 to 1.47)). A post hoc analysis suggested that advanced planning increased odds of participation compared with control among households who had declined to participate previously (aOR 2.50 (95% CI 1.41 to 4.43)). Conclusions: Achieving high levels of household participation is crucial for many disease prevention efforts. Our trial was not successful in improving participation compared with the existing campaign. The trial highlights persistent challenges to field experiments as well as lessons about the intervention design process, particularly understanding barriers to participation through a behavioural lens. en_US
dc.language.iso eng
dc.publisher BMJ Publishing Group
dc.relation.ispartof urn:issn:2059-7908
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject change disease en_US
dc.subject cluster randomised trial en_US
dc.subject control strategies en_US
dc.subject public health en_US
dc.title Increasing participation in a vector control campaign: a cluster randomised controlled evaluation of behavioural economic interventions in Peru en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1136/bmjgh-2018-000757
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.00 es_PE

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