Details

Autor(en) / Beteiligte

• Wandner, Laura D
• George, Steven Z
• Lok, Benjamin C
• Torres, Calia A
• Chuah, Joon Hao
• Robinson, Michael E

Titel

Pain assessment and treatment decisions for virtual human patients

Ist Teil von

• Cyberpsychology, behavior and social networking, 2013-12, Vol.16 (12), p.904-909

Ort / Verlag

United States

Erscheinungsjahr

2013

Quelle

MEDLINE

Beschreibungen/Notizen

• Laypeople and healthcare professionals use demographic cues when making pain management decisions. These decisions can negatively affect patient outcomes. This study examined whether laypeople base their pain management decisions in part on pain-related postures and demographic cues. Virtual human (VH) technology was used to research whether sex and race, as well as body posture, influenced pain management decisions. Ninety-seven laypersons examined VH patients exhibiting low back pain related body postures whose demographic cues varied by VH sex and VH race. T tests validated that participants were able to distinguish between high pain related body postures and low pain related body postures. The participants assessed male VH patients to be experiencing more pain than female VH patients. This study suggests that participants use sex as a cue when assessing pain. Participants may perceive VH male patients as experiencing high pain intensity if the participants are willing to counter male stereotypes and acknowledge that the male VH patients display pain behaviors.