DocumentCode :
1418553
Title :
Quantifying Palpation Techniques in Relation to Performance in a Clinical Prostate Exam
Author :
Wang, Ninghuan ; Gerling, Gregory J. ; Childress, Reba Moyer ; Martin, Marcus L.
Author_Institution :
Univ. of Virginia, Charlottesville, VA, USA
Volume :
14
Issue :
4
fYear :
2010
fDate :
7/1/2010 12:00:00 AM
Firstpage :
1088
Lastpage :
1097
Abstract :
This paper seeks to quantify finger palpation techniques in the prostate clinical exam, determine their relationship with performance in detecting abnormalities, and differentiate the tendencies of nurse practitioner students and resident physicians. One issue with the digital rectal examination (DRE) is that performance in detecting abnormalities varies greatly and agreement between examiners is low. The utilization of particular palpation techniques may be one way to improve clinician ability. Based on past qualitative instruction, this paper algorithmically defines a set of palpation techniques for the DRE, i.e., global finger movement (GFM), local finger movement (LFM), and average intentional finger pressure, and utilizes a custom-built simulator to analyze finger movements in an experiment with two groups: 18 nurse practitioner students and 16 resident physicians. Although technique utilization varied, some elements clearly impacted performance. For example, those utilizing the LFM of vibration were significantly better at detecting abnormalities. Also, the V GFM led to greater success, but finger pressure played a lesser role. Interestingly, while the residents were clearly the superior performers, their techniques differed only subtly from the students. In summary, the quantified palpation techniques appear to account for examination ability at some level, but not entirely for differences between groups.
Keywords :
biological organs; patient diagnosis; GFM; LFM; average intentional finger pressure; clinical prostate exam; digital rectal examination; finger palpation techniques; global finger movement; local finger movement; Biomedical measurements; human factors; medical decision making; simulation; Adult; Algorithms; Female; Humans; Male; Palpation; Prostate;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2010.2041064
Filename :
5415536
Link To Document :
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