Evidence map›Paper›PMID 30271624›Full record

ArticleBMJ global health2018

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

Alison M Buttenheim, Valerie A Paz-Soldán, Ricardo Castillo-Neyra, Amparo M Toledo Vizcarra, Katty Borrini-Mayori, Molly McGuire, Claudia Arevalo-Nieto, Kevin G Volpp, Dylan S Small, Jere R Behrman and 2 more

Abstract read
In one paragraph

Article in BMJ global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Alison M ButtenheimDepartment of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2432-1637
Valerie A Paz-SoldánGlobal Community Health and Behavioral Sciences, Tulane University, New Orleans, Louisiana, USA.
Ricardo Castillo-NeyraDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Amparo M Toledo VizcarraZoonotic Disease Research Lab, OneHealth Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Arequipa, Peru.
Katty Borrini-MayoriZoonotic Disease Research Lab, OneHealth Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Arequipa, Peru.
Molly McGuireGlobal Community Health and Behavioral Sciences, Tulane University, New Orleans, Louisiana, USA.
Claudia Arevalo-NietoZoonotic Disease Research Lab, OneHealth Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Arequipa, Peru.
Kevin G VolppMedical Ethics and Health Policy, School of Medicine, University of Pennsylvania Perelman, Philadelphia, Pennsylvania, USA.
Dylan S SmallDepartment of Statistics, University of Pennsylvania Wharton School, Philadelphia, Pennsylvania, USA.
Jere R BehrmanDepartment of Economics School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Cesar Naquira-VerlardeUniversidad Peruana Cayetano Heredia, Arequipa, Peru.
Michael Z LevyDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Funding

Improving participation in vector control campaigns R01HD075869 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BUTTENHEIM, ALISON MEREDITH, LEVY, MICHAEL Z · 2014 to 2018
$2.6M
NICHD NIH HHS R01 HD075869
6 · The paper itself

Abstract

objectiveTo assess the efficacy of strategies informed by behavioural economics for increasing participation in a vector control campaign, compared with current practice.

designPragmatic cluster randomised controlled trial.

settingArequipa, Peru.

participants4922 households.

interventionsHouseholds were randomised to one of four arms: advanced planning, leader recruitment, contingent group lotteries, or control.

main outcome measuresParticipation (allowing the house to be sprayed with insecticide) during the vector control campaign.

resultsIn 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)).

conclusionsAchieving 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. TRIAL REGISTRATION NUMBER: American Economic Association AEARCTR-0000620.

Indexed as

change diseasecluster randomised trialcontrol strategiespublic health

Identifiers

PMID30271624
PMCPMC6157568

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.