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Effect of emotional content on online video sharing among health care professionals and researchers (DIFFUSION): results and lessons learnt from a randomised controlled trial.

ABSTRACT: OBJECTIVES:We assessed the effect of emotional content on the extent to which online videos are shared among health professionals. SETTING:We conducted a two-arm randomised controlled trial. We sent a link to one of two videos by email to participants asking them to watch the video and forward it to their colleagues. PARTICIPANTS:Health professionals and researchers (obstetrics, gynaecology and midwifery) with an email address apart from those in countries where access to YouTube is banned. We estimated that 7000 participants were required. INTERVENTIONS:We compared two online videos providing background information about the WOMAN trial. The videos were the same length and had the same content. However, the intervention video had more emotional impact than the control video. OUTCOME MEASURES:The primary outcome was video sharing and the secondary outcome was views generated by participants. We conducted a ?2 test for the primary outcome and t-test for the secondary outcome. RESULTS:We randomly allocated 8353 email addresses, 4178 to the intervention video and 4175 to the control. Of these, 221 (5.3%) watched the intervention video and 215 (5.1%) watched the control. In the intervention group, 44 (1.1%) forwarded the video compared with 37 (0.9%) in the control group (risk ratio 1.2 [95% CI 0.8 to 1.8], p=0.44). Mean number of views generated by participants allocated to the intervention video was 0.04 and the control video was 0.03 (mean difference 0.01 [95% CI -0.02 to 0.04], p=0.53). CONCLUSIONS:We found no evidence that emotional content increased forwarding. The trial had low power due to the low video watching rate and the small number of outcome events. A key challenge for online dissemination is ensuring recipients watch the video. TRIAL REGISTRATION NUMBER:NCT02109159; Results.

SUBMITTER: Kiriya J

PROVIDER: S-EPMC5892760 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Effect of emotional content on online video sharing among health care professionals and researchers (DIFFUSION): results and lessons learnt from a randomised controlled trial.

Kiriya Junko J Edwards Phil P Roberts Ian I

BMJ open 20180405 4

<h4>Objectives</h4>We assessed the effect of emotional content on the extent to which online videos are shared among health professionals.<h4>Setting</h4>We conducted a two-arm randomised controlled trial. We sent a link to one of two videos by email to participants asking them to watch the video and forward it to their colleagues.<h4>Participants</h4>Health professionals and researchers (obstetrics, gynaecology and midwifery) with an email address apart from those in countries where access to Y ...[more]

PMID: 29626045

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Project description:Infectious disease forecasting is gaining traction in the public health community; however, limited systematic comparisons of model performance exist. Here we present the results of a synthetic forecasting challenge inspired by the West African Ebola crisis in 2014-2015 and involving 16 international academic teams and US government agencies, and compare the predictive performance of 8 independent modeling approaches. Challenge participants were invited to predict 140 epidemiological targets across 5 different time points of 4 synthetic Ebola outbreaks, each involving different levels of interventions and "fog of war" in outbreak data made available for predictions. Prediction targets included 1-4 week-ahead case incidences, outbreak size, peak timing, and several natural history parameters. With respect to weekly case incidence targets, ensemble predictions based on a Bayesian average of the 8 participating models outperformed any individual model and did substantially better than a null auto-regressive model. There was no relationship between model complexity and prediction accuracy; however, the top performing models for short-term weekly incidence were reactive models with few parameters, fitted to a short and recent part of the outbreak. Individual model outputs and ensemble predictions improved with data accuracy and availability; by the second time point, just before the peak of the epidemic, estimates of final size were within 20% of the target. The 4th challenge scenario - mirroring an uncontrolled Ebola outbreak with substantial data reporting noise - was poorly predicted by all modeling teams. Overall, this synthetic forecasting challenge provided a deep understanding of model performance under controlled data and epidemiological conditions. We recommend such "peace time" forecasting challenges as key elements to improve coordination and inspire collaboration between modeling groups ahead of the next pandemic threat, and to assess model forecasting accuracy for a variety of known and hypothetical pathogens.

Dataset Information

Effect of emotional content on online video sharing among health care professionals and researchers (DIFFUSION): results and lessons learnt from a randomised controlled trial.

Publications

Effect of emotional content on online video sharing among health care professionals and researchers (DIFFUSION): results and lessons learnt from a randomised controlled trial.

Similar Datasets

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