Browse > Article
http://dx.doi.org/10.15268/ksim.2022.10.3.107

Exploring the Predictive Factors of Passing the Korean Physical Therapist Licensing Examination  

Kim, So-Hyun (Dept. of Medical Sciences, Graduate School of Nambu University)
Cho, Sung-Hyoun (Dept. of Physical Therapy, Nambu University)
Publication Information
Journal of The Korean Society of Integrative Medicine / v.10, no.3, 2022 , pp. 107-117 More about this Journal
Abstract
Purpose : The purpose of this study was to establish a model of the predictive factors for success or failure of examinees undertaking the Korean physical therapist licensing examination (KPTLE). Additionally, we assessed the pass/fail cut-off point. Methods : We analyzed the results of 10,881 examinees who undertook the KPTLE, using data provided by the Korea Health Personnel Licensing Examination Institute. The target variable was the test result (pass or fail), and the input variables were: sex, age, test subject, and total score. Frequency analysis, chi-square test, descriptive statistics, independent t-test, correlation analysis, binary logistic regression, and receiver operating characteristic (ROC) curve analyses were performed on the data. Results : Sex and age were not significant predictors of attaining a pass (p>.05). The test subjects with the highest probability of passing were, in order, medical regulation (MR) (Odds ratio (OR)=2.91, p<.001), foundations of physical therapy (FPT) (OR=2.86, p<.001), diagnosis and evaluation for physical therapy (DEPT) (OR=2.74, p<.001), physical therapy intervention (PTI) (OR=2.66, p<.001), and practical examination (PE) (OR=1.24, p<.001). The cut-off points for each subject were: FPT, 32.50; DEPT, 29.50; PTI, 44.50; MR, 14.50; and PE, 50.50. The total score (TS) was 164.50. The sensitivity, specificity, and the classification accuracy of the prediction model was 99 %, 98 %, and 99 %, respectively, indicating high accuracy. Area under the curve (AUC) values for each subject were: FPT, .958; DEPT, .968; PTI, .984; MR, .885; PE, .962; and TS, .998, indicating a high degree of fit. Conclusion : In our study, the predictive factors for passing KPTLE were identified, and the optimal cut-off point was calculated for each subject. Logistic regression was adequate to explain the predictive model. These results will provide universities and examinees with useful information for predicting their success or failure in the KPTLE.
Keywords
area under the curve; Korean physical therapist licensing examination; logistic regression; receiver operating characteristic curve;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Hajian-Tilaki K(2018). The choice of methods in determining the optimal cut-off value for quantitative diagnostic test evaluation. Stat Methods Med Res, 27(8), 2374-2383. https://doi.org/10.1177/0962280216680383.   DOI
2 Kang MH, Lee TH, Cha SM, et al(2017). Proposal for improving the system of physical therapy education and the Korean physical therapist licensing examination based on a comparison of the systems in world confederation for physical therapy member countries. J Educ Eval Health Prof, 14(10), Printed Online. https://doi.org/10.3352/jeehp.2017.14.10.
3 Annunziata MA, Muzzatti B, Bidoli E, et al(2020). Hospital Anxiety and Depression Scale (HADS) accuracy in cancer patients. Support Care Cancer, 28(8), 3921-3926. https://doi.org/10.1007/s00520-019-05244-8.   DOI
4 Bang YS, Kim HY(2014). Relationships between stress coping style and learning motivation on life of health department university students who will take national examination. J Korea Content Assoc, 8(1), 73-80. https://doi.org/10.21184/jkeia.2014.03.8.1.73.
5 Bawadi H, Hassan S, Shanbeh Zadeh A, et al(2020). Age and gender specific cut-off points for body fat parameters among adults in Qatar. Nutr J, 19(1), Printed Online. https://doi.org/10.1186/s12937-020-00569-1.   DOI
6 Fan J, Upadhye S, Worster A(2006). Understanding receiver operating characteristic (ROC) curves. CJEM, 8(1), 19-20. https://doi.org/10.1017/s1481803500013336.   DOI
7 Akobeng AK(2007). Understanding diagnostic tests 3: Receiver operating characteristic curves. Acta Paediatr, 96(5), 644-647. https://doi.org/10.1111/j.1651-2227.2006.00178.x.   DOI
8 Hwa HL, Ko TM, Hsieh FJ, et al(2007). Risk prediction for Down's syndrome in young pregnant women using maternal serum biomarkers: determination of cut-off risk from receiver operating characteristic curve analysis. J Eval Clin Pract, 13(2), 254-258. https://doi.org/10.1111/j.1365-2753.2006.00687.x.   DOI
9 Kang MH, Kwon OY, Kim YW, et al(2016). Is there an agreement among the items of the Korean physical therapist licensing examination, learning objectives of class subjects, and physical therapists' job descriptions?. J Educ Eval Health Prof, 13(3), Printed Online. https://doi.org/10.3352/jeehp.2016.13.3.   DOI
10 Ahn SS, Seo YK, Baek SE, et al(2004). The correlation of grade point average of medical school and the score of Korean medical licensing examination. Korean J Med Educ, 16(1), 25-32.   DOI
11 Lee MY, Kim ME(2020). Relationship between national exam stress and subjective oral symptom in allied health students. J Educ Eval Health Prof, 20(5), 351-358. https://doi.org/10.5392/JKCA.2020.20.05.351.
12 Mun SJ, Noh HJ, Jeon HS, et al(2014). A six-year study of relationship between academic performance in dental hygiene school and performance on the Korean dental hygiene licensing examination at Yonsei university. J Dent Hyg Sci, 14(3), 332-341. https://doi.org/10.17135/jdhs.2014.14.3.332.   DOI
13 Oh TY, Lee KS, Kim, BJ(2017). Suggestions for a standard clinical practice curriculum and learning objectives for physical therapy education in Korea. J Educ Eval Health Prof, 14(23), Printed Online. https://doi.org/10.3352/jeehp.2017.14.23.   DOI
14 Korea Health Personnel Licensing Examination Institute. 2020 48th Physical therapist national examination results, 2021. Available at https://www.kuksiwon.or.kr/analysis/brd/m_91/list.do Accessed July 13, 2022.
15 Yim MK(2015). Exploration of examinees' traits that affect the score of Korean medical licensing examination. J Educ Eval Health Prof, 12(5), Printed Online. https://doi.org/10.3352/jeehp.2015.12.5.   DOI
16 Youden, WJ(1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. https://doi.org/10.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3.   DOI