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Cited by 105Public Relations and Crisis CommunicationDisaster Response and ManagementPublic Health Policies and Education

The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.

Public health communications and alert fatigue

Open access
Baseman, Janet G, Revere, Debra, Painter, Ian, Toyoji, Mariko, Thiede, Hanne, Duchin, Jeffrey·2013·BMC Health Services Research
DOI 10.1186/1472-6963-13-295PMC PMC3751004
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Abstract

BACKGROUND: Health care providers play a significant role in large scale health emergency planning, detection, response, recovery and communication with the public. The effectiveness of health care providers in emergency preparedness and response roles depends, in part, on public health agencies communicating information in a way that maximizes the likelihood that the message is delivered, received, deemed credible and, when appropriate, acted on. However, during an emergency, health care providers can become inundated with alerts and advisories through numerous national, state, local and professional communication channels. We conducted an alert fatigue study as a sub-study of a larger randomized controlled trial which aimed to identify the most effective methods of communicating public health messages between public health agencies and providers. We report an analysis of the effects of public health message volume/frequency on recall of specific message content and effect of rate of message communications on health care provider alert fatigue. METHODS: Health care providers enrolled in the larger study (n=528) were randomized to receive public health messages via email, fax, short message service (SMS or cell phone text messaging) or to a control group that did not receive messages. For 12 months, study messages based on real events of public health significance were sent quarterly with follow-up telephone interviews regarding message receipt and topic recall conducted 5-10 days after the message delivery date. During a pandemic when numerous messages are sent, alert fatigue may impact ability to recall whether a specific message has been received due to the "noise" created by the higher number of messages. To determine the impact of "noise" when study messages were sent, we compared health care provider recall of the study message topic to the number of local public health messages sent to health care providers. RESULTS: We calculated the mean number of messages that each provider received from local public health during the time period around each study message and provider recall of study message content. We found that recall rates were inversely proportional to the mean number of messages received per week: Every increase of one local public health message per week resulted in a statistically significant 41.2% decrease (p < 0.01), 95% CI [0.39, .87] in the odds of recalling the content of the study message. CONCLUSIONS: To our knowledge, this is the first study to document the effects of alert fatigue on health care providers' recall of information. Our results suggest that information delivered too frequently and/or repetitively through numerous communication channels may have a negative effect on the ability of health care providers to effectively recall emergency information. Keeping health care providers and other first-line responders informed during an emergency is critical. Better coordination between organizations disseminating alerts, advisories and other messages may improve the ability of health care providers to recall public health emergency messages, potentially impacting effective response to public health emergency messages.

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Figure 1 Example reach study message: Full message (left) sent via email and fax and truncated messages (right) sent via SMS. All messages contained a link to a web page (center).
Figure 1 Example reach study message: Full message (left) sent via email and fax and truncated messages (right) sent via SMS. All messages contained a link to a web page (center).CC BY · PubMed Central
Figure 2 Phone interview questions used to measure outcome measures of message recall.
Figure 2 Phone interview questions used to measure outcome measures of message recall.CC BY · PubMed Central
Figure 3 Number of messages sent over public health agency email listserv per month from 2008–2010. The two waves of the 2009 H1N1 pandemic are marked by dramatic increases in messages.
Figure 3 Number of messages sent over public health agency email listserv per month from 2008–2010. The two waves of the 2009 H1N1 pandemic are marked by dramatic increases in messages.CC BY · PubMed Central

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  1. U.S. Census Bureau: State and County QuickFacts: Population Estimates, Counties. 2011, U.S: Census Bureau

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Metadata

Authors
Baseman, J. G., Revere, D., Painter, I., Toyoji, M., Thiede, H., & Duchin, J.
Affiliations
  • University of Washington (US)
  • Public Health – Seattle & King County (US)
Corresponding author
Baseman, Janet G
ORCID
Venue
BMC Health Services Research
Publisher
Springer Science and Business Media LLC
Published
2013-08-05
Volume
13
Issue
1
Pages
295-295
ISSN
1472-6963 (ISSN-L)
DOI
10.1186/1472-6963-13-295
PMC
PMC3751004
OpenAlex
W2089648885
Cited by
105
References
22
Citations by year
2026: 7 · 2025: 7 · 2024: 11 · 2023: 3 · 2022: 7 · 2021: 19 · 2020: 15 · 2019: 6 · 2018: 8 · 2017: 9 · 2016: 6 · 2015: 3 · 2014: 4
FWCI
12.83
Type
journal article
Language
en
Open access
Licence
Locations
  • BMC Health Services Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • University of Washington
  • Centers for Disease Control and Prevention (5P01TP000297)
  • Office of Public Health Preparedness and Response
Topics
  • Social Sciences › Communication › Public Relations and Crisis Communication
  • Health Sciences › Health Professions › Emergency Medical Services › Disaster Response and Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Public Health Policies and Education
Keywords
alarm fatigue, public health communication, healthcare workers, message recall, message frequency, message volume, disaster preparedness, emergency response, public health alerts, text messaging, email, fax, pandemic communication, information overload, message credibility, message tailoring, message framing, message timing, message repetition
MeSH terms
Adult, Communication, Disasters, Mental Fatigue, Female, Health Personnel, Humans, Male, Middle Aged, Public Health, Mental Recall, Washington, Confidence Intervals, Electronic Mail, Qualitative Research, Text Messaging

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