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How effective is framing public service announcements using identity-based messaging in increasing the likelihood of compliance with COVID-19 guidelines?

Assessment of the effectiveness of identity-based public health announcements in increasing the likelihood of complying with COVID-19 guidelines

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN22331899
Enrollment
300
Registered
2021-04-07
Start date
2020-07-01
Completion date
Unknown
Last updated
2022-01-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Non-compliance with public service announcements regarding COVID-19 prevention Infections and Infestations Public health measures relating to COVID-19 (SARS-CoV-2 infection)

Interventions

The study will be conducted over the internet using the Amazon Mechanical Turk (MTurk) crowdsourcing marketplace. The study will first collect demographic information, then ask about the extent to whi

Sponsors

Indiana University Bloomington
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Amazon Mechanical Turk member holding an Amazon Masters classification

Exclusion criteria

Exclusion criteria: Fail =1 of the three online attention checks (that asked participants to select specific answers)

Design outcomes

Primary

MeasureTime frame
Likelihood of complying with Public Service Announcement measured using seven items adapted from prior research delivered via the online platform immediately after viewing the PSA

Secondary

MeasureTime frame
There are no secondary outcome measures

Countries

United States of America

Contacts

Public ContactAlan Dennis
ardennis@indiana.edu+1 812-855-2691

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 15, 2026