Title |
Public health communications and alert fatigue
|
---|---|
Published in |
BMC Health Services Research, August 2013
|
DOI | 10.1186/1472-6963-13-295 |
Pubmed ID | |
Authors |
Janet G Baseman, Debra Revere, Ian Painter, Mariko Toyoji, Hanne Thiede, Jeffrey Duchin |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 36% |
United Kingdom | 4 | 12% |
Philippines | 2 | 6% |
Canada | 1 | 3% |
Italy | 1 | 3% |
Unknown | 13 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 64% |
Practitioners (doctors, other healthcare professionals) | 5 | 15% |
Science communicators (journalists, bloggers, editors) | 4 | 12% |
Scientists | 3 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 2% |
Malaysia | 1 | <1% |
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 149 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 25 | 16% |
Student > Ph. D. Student | 21 | 14% |
Researcher | 18 | 12% |
Student > Bachelor | 12 | 8% |
Other | 8 | 5% |
Other | 33 | 21% |
Unknown | 38 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 15% |
Nursing and Health Professions | 19 | 12% |
Social Sciences | 18 | 12% |
Psychology | 10 | 6% |
Computer Science | 7 | 5% |
Other | 30 | 19% |
Unknown | 47 | 30% |