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Effectiveness of the head CT choice decision aid in parents of children with minor head trauma: study protocol for a multicenter randomized trial

Overview of attention for article published in Trials, June 2014
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Title
Effectiveness of the head CT choice decision aid in parents of children with minor head trauma: study protocol for a multicenter randomized trial
Published in
Trials, June 2014
DOI 10.1186/1745-6215-15-253
Pubmed ID
Authors

Erik P Hess, Kirk D Wyatt, Anupam B Kharbanda, Jeffrey P Louie, Peter S Dayan, Leah Tzimenatos, Sandra L Wootton-Gorges, James L Homme, Laurie Pencille RN, Annie LeBlanc, Jessica J Westphal, Kathy Shepel, Nilay D Shah, Megan Branda, Jeph Herrin, Victor M Montori, Nathan Kuppermann

Abstract

Blunt head trauma is a common cause of death and disability in children worldwide. Cranial computed tomography (CT), the reference standard for the diagnosis of traumatic brain injury (TBI), exposes children to ionizing radiation which has been linked to the development of brain tumors, leukemia, and other cancers. We describe the methods used to develop and test the effectiveness of a decision aid to facilitate shared decision-making with parents regarding whether to obtain a head CT scan or to further observe their child at home.

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X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 <1%
Unknown 214 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 18%
Researcher 27 13%
Student > Ph. D. Student 21 10%
Student > Bachelor 20 9%
Other 12 6%
Other 47 22%
Unknown 50 23%
Readers by discipline Count As %
Medicine and Dentistry 79 37%
Nursing and Health Professions 20 9%
Psychology 16 7%
Social Sciences 11 5%
Computer Science 5 2%
Other 26 12%
Unknown 58 27%