Public health messages can influence infectious disease stigmas

Public release date: 1-Oct-2012
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Contact: Michael Bezilla
mxb13@psu.edu
814-865-9481
Penn State

UNIVERSITY PARK, Pa. -- Crafting public health messages about a disease may create stigmas that influence how likely people are to endorse certain interventions, such as isolating infected persons, forcing treatment on them and mapping their location, according to a Penn State researcher. Rachel Smith, associate professor of communication arts and sciences and investigator with the University's Center for Infectious Disease Dynamics, used a hypothetical disease -- a virus carried by rodents -- to develop 16 different health alerts describing the virus and those who were infected. The alerts, based on an existing alert developed by the Centers for Disease Control, indicated whether or not infected people were labeled by the disease. The alerts also indicated the disease was transmissible or not transmissible between humans; had visible symptoms (open sores on arms and a wet, loud cough) or no visible symptoms; and was fatal, painful, and caused paranoid delusions, or was mild and easy to cure.

The disease symptoms, labels associated with infected persons, perceptions of dangerousness, and responsibility comprise the four content cues in Smith's Model of Stigma Communication.

"These content cues can elicit responses such as disgust and anger," Smith said. "They can also shape the development of stigma and influence the likelihood that people will share a stigma message with others or endorse isolating and removing stigmatized people from community." The results, to be published in a forthcoming issue of Communication Monographs and available online now, showed that those communication choices, and how they made people think and feel, predicted how likely people were to endorse interventions.

In addition, people were more likely to want to share the stigma message with others if the disease had visible symptoms rather than no visible symptoms.

"The visible symptom might suggest that infected persons are different," Smith said, "and this could facilitate social bonding among people spreading the rumor, even if infected persons are not considered a group in and of themselves."

According to Smith, understanding how message choices influence the formation of stigma beliefs is critical.

"When stigmas form with infectious diseases, they can be barriers to health care access and provision in the short and long term," she said. "Understanding how communication choice in health messages influences the stigmatization process can give us the tools to write health alerts without creating or bolstering stigmas around infectious diseases. Once the stigmas are in place, we have few reliable ways to remove them."

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The Center for Infectious Disease Dynamics is a unit of the Huck Institutes of the Life Sciences. Smith's research was supported by the National Institute on Drug Abuse.

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Public release date: 1-Oct-2012
[ | E-mail | Share ]

Contact: Michael Bezilla
mxb13@psu.edu
814-865-9481
Penn State

UNIVERSITY PARK, Pa. -- Crafting public health messages about a disease may create stigmas that influence how likely people are to endorse certain interventions, such as isolating infected persons, forcing treatment on them and mapping their location, according to a Penn State researcher. Rachel Smith, associate professor of communication arts and sciences and investigator with the University's Center for Infectious Disease Dynamics, used a hypothetical disease -- a virus carried by rodents -- to develop 16 different health alerts describing the virus and those who were infected. The alerts, based on an existing alert developed by the Centers for Disease Control, indicated whether or not infected people were labeled by the disease. The alerts also indicated the disease was transmissible or not transmissible between humans; had visible symptoms (open sores on arms and a wet, loud cough) or no visible symptoms; and was fatal, painful, and caused paranoid delusions, or was mild and easy to cure.

The disease symptoms, labels associated with infected persons, perceptions of dangerousness, and responsibility comprise the four content cues in Smith's Model of Stigma Communication.

"These content cues can elicit responses such as disgust and anger," Smith said. "They can also shape the development of stigma and influence the likelihood that people will share a stigma message with others or endorse isolating and removing stigmatized people from community." The results, to be published in a forthcoming issue of Communication Monographs and available online now, showed that those communication choices, and how they made people think and feel, predicted how likely people were to endorse interventions.

In addition, people were more likely to want to share the stigma message with others if the disease had visible symptoms rather than no visible symptoms.

"The visible symptom might suggest that infected persons are different," Smith said, "and this could facilitate social bonding among people spreading the rumor, even if infected persons are not considered a group in and of themselves."

According to Smith, understanding how message choices influence the formation of stigma beliefs is critical.

"When stigmas form with infectious diseases, they can be barriers to health care access and provision in the short and long term," she said. "Understanding how communication choice in health messages influences the stigmatization process can give us the tools to write health alerts without creating or bolstering stigmas around infectious diseases. Once the stigmas are in place, we have few reliable ways to remove them."

###

The Center for Infectious Disease Dynamics is a unit of the Huck Institutes of the Life Sciences. Smith's research was supported by the National Institute on Drug Abuse.

---

[ | E-mail | Share ]

?

AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.

Source: http://www.eurekalert.org/pub_releases/2012-10/ps-phm092812.php

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