Examples Of Activities Requiring Manual Dexterity
Abstract Dentists must be skilled when using dental mirrors. Working with mirrors requires spatial perception, bimanual coordination, perceptual learning and fine motor skills. Many studies have attempted to determine the predictors of manual skills among pre-clinical students, but consensus has yet to be reached. We hypothesized that valid and reliable occupational therapy test performance regarding indirect vision would differ between dental students and junior dentists and would explain the variance in manual skill performance in pre-clinical courses. To test this hypothesis, we applied the Purdue Pegboard test and O’Connor Tweezer Dexterity test under different conditions of direct and indirect vision. We administered these tests to students in phantom-head academic courses in 2015 and 2016 and to junior dentists. Students performed the tests at three time points: before phantom training (T0), at the end of the training (T1) and in the middle of the following year of study (T2).
Finger painting is also a fun and messy dexterity activity. Just make sure that the images require lines and concentration, which will take dexterity.
Dentists performed the same tests twice at 1 st and 2 nd trials one week apart. The results showed that indirect tasks were significantly more difficult to perform for both groups. These dexterity tests were sensitive enough to detect students’ improvement after phantom training. The dentists’ performances were significantly better than those of students at T0, specifically with regard to the use of tweezers under direct and indirect vision (the O’Connor test). A regression analysis showed that students’ manual grades obtained at the beginning of the phantom course, their performance on the Purdue test using both hands, and their performance on the O’Connor test under indirect vision predicted phantom course success in 80% of cases. Harry potter 4 full movie in hindi hd. The O’Connor test under indirect vision is the most informative means of monitoring and predicting the manual skills required in the pre-clinical year of dentistry studies.
Citation: Lugassy D, Levanon Y, Pilo R, Shelly A, Rosen G, Meirowitz A, et al. (2018) Predicting the clinical performance of dental students with a manual dexterity test. PLoS ONE 13(3): e0193980. Alberto Conejero, IUMPA - Universitat Politecnica de Valencia, SPAIN Received: March 14, 2017; Accepted: February 22, 2018; Published: March 8, 2018 Copyright: © 2018 Lugassy et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: As per restrictions of the Ethics Committee of Tel Aviv University, who approved this study, we are not allowed to provide public access to any data presented in our study due to its sensitivity.
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Funding: This work was supported by the Ministry of Science, Technology and Space, Israel No. Competing interests: Dr. Asaf Shelly was a volunteer in our school at the time when measurements were taken. Then, he left the university for about a year and lately returned as MSc student. When we submitted the manuscript he was not related to the university and we affiliated him to his private clinic ‘Rishon Le’Tzion, ISRAEL’.
In any case, this does not alter our adherence to PLOS ONE policies on sharing data and materials. Participants A total of 95 participants were included in this study, comprising students and junior dentists. The students (N = 65) were in their first year of practicing on a phantom head. The dentists (N = 30) were junior dental practitioners with three to five years of clinical experience who worked in public health clinics. For anonymity, each participant was randomly assigned an identifying number known only to the researcher.
We initiated the study by testing 39 students (24 females, 15 males, age 25.8±3.33 years, range 23–40 years) in the 2015 academic year (cohort 1). Cohort 1 students constituted the entire student body that year; thus, we avoided selection bias. The experiment was repeated over the next academic year (2016) with 26 students (18 females, 8 males, age 24.6±1.49 years, range 23–28 years, i.e., cohort 2) to validate the results obtained for 2015. Smartview silent install. However, only half of the 2016 students agreed to participate in this research.