Encouraging Workers to Self-Report Exposure to COVID-19

In a recent Harvard Business Review article, we describe random rotation policies that let employees report potential exposure to COVID-19 while staying safe from stigma or retaliation.

Under random rotation, all workers are regularly surveyed about their COVID-19 exposure and symptoms. Regardless of survey responses, a minimum share of employees (say between 5 and 10%) is systematically rotated out of the workplace for a week. Employees rotated out include all employees reporting COVID19 exposure as well as a randomly-selected group of employees who do not. At the end of the week, returning employees are tested for symptoms. Symptomatic or COVID19-positive employees receive appropriate medical care.

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Through random rotation, workers concerned that they may be sick can safely ask to temporarily isolate. The fact that healthy people can be rotated out of work ensures that nobody can know for sure whether a particular worker is rotated out because they reported exposure, or because they were chosen randomly.

Random rotation builds on decades of social science research referenced below.

Solutions

To facilitate implementation, we provide three templates for random rotation that organizations can adapt to their own needs. All materials are provided under the MIT License. By using this website and its contents, you agree to the following terms of service.

Computer

A purely computer-based solution

Best suited for organizations with IT support whose employees have reliable access to the internet.

Download

Mixed

A mixed computer-paper solution

Best suited for organizations with some IT support and whose employees need not have reliable access to the internet.

Download

Paper

A purely paper-based solution

Best suited for organizations with limited IT support and whose employees need not have reliable access to the internet.

Download

About Us

Laura Boudreau
Sylvain Chassang

Professors Boudreau and Chassang, respectively of Columbia Business School and Princeton University, are experts on the transmission of sensitive information in organizations. In their empirical work, they have studied the reporting of labor safety violations and sexual harassment in garment factories, as well as the effectiveness of different reporting protocols in generating actionable data. They believe that lessons learned from high-stakes contexts can help keep workplaces safe during the COVID-19 pandemic by getting workers to report potential COVID-19 exposure in a timely manner.

Contact Us!

You want to implement a random rotation policy, but you’re not sure how? Contact us! We will help. You can reach us by email at info@safelyreport.org.

If you are looking for a polished implementation of random rotation, several survey organizations, such as Qualtrics, SurveyMonkey, and Elevate/LaborLink have the capabilities to implement random rotation as part of their COVID-19 response offering. You can reach out to them directly, or we can help you find the right interlocutor.

References

Related Writings:

Boudreau, L. and S. Chassang (2020): “How to Get Employees to Report Their COVID-19 Risk,” Harvard Business Review (Web), August 21, 2020.

Related Academic Research:

Blair, G., K. Imai, and Y.-Y. Zhou (2015): “Design and analysis of the randomized response technique,” Journal of the American Statistical Association, 110, 1304–1319.

Chassang, S., and C. Zehnder (2019): “Secure Survey Design in Organizations: Theory and Experiments.”

Chassang, S., and G. Padro-i-Miquel (2019): “Crime, Intimidation, and Whistleblowing: A Theory of Inference from Unverifiable Reports,” Review of Economic Studies, 86(6): 2530-2553. (Ungated version)

Rosenfeld, Bryan, Kosuke Imai, and Jacob N. Shapiro (2016): “An Empirical Validation Study of Popular Survey Methodologies for Sensitive Questions,” American Journal of Political Science, 60(3): 783–802.

Warner, S. L. (1965): “Randomized response: A survey technique for eliminating evasive answer bias,” Journal of the American Statistical Association, 60, 63–69.

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