Trial reportJournal of epidemiology and community health2019
Randomised controlled trial of incentives to improve online survey completion among internet-using men who have sex with men.
Trial report in Journal of epidemiology and community health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02139566 (Improving Consent and Survey Procedures for Young MSM in Web-based HIV Prevention), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled 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.
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.
Improving Consent and Survey Procedures for Young MSM in Web-based HIV Prevention
Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Methods to increase response to postal and electronic questionnaires.The Cochrane database of systematic reviews · 2023Pooled it
- Pooled it
- Youth Preferences for HIV Testing in South Africa: Findings from the Youth Action for Health (YA4H) Study Using a Discrete Choice Experiment.AIDS and behavior · 2021Article
- Does Stigma Toward Anal Sexuality Impede HIV Prevention Among Men Who Have Sex With Men in the United States? A Structural Equation Modeling Assessment.The journal of sexual medicine · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHIV prevention research often involves the use of online surveys as data collection instruments. Incomplete responses to these surveys can introduce bias. We aimed to develop and assess innovative methods to incentivise respondents to complete surveys.
methodsAdult men who have sex with men (MSM) living in the USA were recruited through banner advertisements on Facebook from 27 April 2015 to 6 May 2015 to participate in an online survey about HIV prevention and risk behaviours. Participants were randomised to one of four conditions: a monetary incentive; a series of altruistic messages highlighting the importance of participating in research; access to a dashboard comparing their responses with statistics from other participants after completion; and no incentive. Kaplan-Meier survival methods and univariate Cox proportional hazard models were used to evaluate survey dropout by incentive group and demographic variables of interest.
resultsThere were a total of 1178 participants randomised to the four treatment groups. The rate of survey dropout among participants in the altruistic (HR=0.68, 95% CI 0.49 to 0.93), monetary (HR=0.44, 95% CI 0.32 to 0.61) and dashboard (HR=0.78, 95% CI 0.58 to 1.06) groups was lower than the non-incentivised control group. Regardless of condition, survey dropout was also lower among MSM aged 28-34 (HR=0.67, 95% CI 0.50 to 0.90) compared with those aged 18-22 years old, and MSM who were white (HR=0.78, 95% CI 0.60 to 1.02) compared with non-white participants.
conclusionMonetary incentives and altruistic messaging can improve survey completion in online behavioural HIV prevention research among MSM. TRIAL REGISTRATION NUMBER: NCT02139566.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.