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Outreach to Domestic Abuse Victims in Times of Quarantine
Last registered on April 21, 2020


Trial Information
General Information
Outreach to Domestic Abuse Victims in Times of Quarantine
Initial registration date
April 14, 2020
Last updated
April 21, 2020 6:42 PM EDT

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Primary Investigator
Other Primary Investigator(s)
PI Affiliation
London School of Economics
PI Affiliation
London School of Economics
Additional Trial Information
In development
Start date
End date
Secondary IDs
There is concern worldwide that the coronavirus epidemic will lead to an increase in domestic abuse (DA), as stay-at-home orders force victims to spend more time in at home with their abusers. At the same time, there is concern that the reporting of domestic abuse may fall. The result is a greater number of victims, increasingly isolated and without recourse. We are working with Thames Valley Police (TVP) to devise an outreach campaign targeted toward women at high risk of domestic abuse, to inform them how they may safely contact police.

To measure the impact of the outreach campaign, we are conducting an RCT that randomly assigns high-risk DA victims to treatment and control status. The treatment group is targeted for extra social media advertising that bears the campaign’s message; the control group is exposed only to various national campaigns that are ongoing at the same time. Outcomes to be analyzed include calls for service and calls for service by method during the ad campaign, and post-campaign measures of calls for service and incidents involving violence as measures of recidivism.
External Link(s)
Registration Citation
Grogger, Jeff, Ria Ivandic and Tom Kirchmaier. 2020. "Outreach to Domestic Abuse Victims in Times of Quarantine." AEA RCT Registry. April 21. https://doi.org/10.1257/rct.5723-1.1.
Experimental Details
We devised materials for a Facebook/Instagram (FB) advertising campaign and an associated website. These provide readers with instructions for making reports to police via the Silent Solution, an approach that allows callers to make reports with little if any speaking. To test the effectiveness of the campaign, we will identify a group of high-risk potential DA victims based on their previous victimization history. We will randomly assign half of this high-risk pool to treatment and half to control. Those in the treatment condition will be targeted for the ad campaign via FB.
Intervention Start Date
Intervention End Date
Primary Outcomes
Primary Outcomes (end points)
To measure the contemporary effect of the campaign, we will analyze calls for service regarding DA incidents and calls for service by method (e.g., Silent Solution v. conventional calls). We will track these both during the campaign and for one month afterward. To measure recidivism, we will track calls for service and incidents involving violence for one year after the end of this period.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
We will analyze data from FB regarding the reach of the ad campaign, including number of impressions, clicks, geography, and demographics. We will analyze similar data for our website from Google Analytics.
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Our main analysis will be based on the RCT, which involves assigning half the high-risk group to treatment and half to control. We will use the RCT design to identify the intent-to-treat effect of the ad campaign on contemporary calls for service and calls for service by type. We will also use the RCT design to measure the ITT of the ad campaign on recidivism. Depending on the strength of the first stage, we may also use an IV strategy to estimate how calls for service during quarantine affect recidivism. Finally, we will use a before-after approach to estimate the extent to which the quarantine affected DA. This analysis will compare the number of calls before quarantine to the number of calls after.
Experimental Design Details
Not available
Randomization Method
Randomization Unit
Was the treatment clustered?
Experiment Characteristics
Sample size: planned number of clusters
Sample size: planned number of observations
Sample size (or number of clusters) by treatment arms
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB Name
LSE Research Ethics Committee
IRB Approval Date
IRB Approval Number