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Efficacy of a children’s procedural preparation and distraction device on healing in acute burn wound care procedures: study protocol for a randomized controlled trial

Overview of attention for article published in Trials, December 2012
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Title
Efficacy of a children’s procedural preparation and distraction device on healing in acute burn wound care procedures: study protocol for a randomized controlled trial
Published in
Trials, December 2012
DOI 10.1186/1745-6215-13-238
Pubmed ID
Authors

Nadia J Brown, Sylvia Rodger, Robert S Ware, Roy M Kimble, Leila Cuttle

Abstract

The intense pain and anxiety triggered by burns and their associated wound care procedures are well established in the literature. Non-pharmacological intervention is a critical component of total pain management protocols and is used as an adjunct to pharmacological analgesia. An example is virtual reality, which has been used effectively to dampen pain intensity and unpleasantness. Possible links or causal relationships between pain/anxiety/stress and burn wound healing have previously not been investigated. The purpose of this study is to investigate these relationships, specifically by determining if a newly developed multi-modal procedural preparation and distraction device (Ditto™) used during acute burn wound care procedures will reduce the pain and anxiety of a child and increase the rate of re-epithelialization.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 246 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 16%
Researcher 27 11%
Student > Bachelor 26 11%
Student > Ph. D. Student 20 8%
Other 13 5%
Other 41 17%
Unknown 80 32%
Readers by discipline Count As %
Medicine and Dentistry 57 23%
Nursing and Health Professions 34 14%
Psychology 26 11%
Agricultural and Biological Sciences 8 3%
Computer Science 6 2%
Other 27 11%
Unknown 89 36%