Korean Med Educ Rev.  2020 Jun;22(2):122-130. 10.17496/kmer.2020.22.2.122.

A Validity Study of the Korean Version of the Interprofessional Attitudes Scale

  • 1Department of Medical Education, Gachon University College of Medicine, Incheon, Korea
  • 2Department of Medical Education, Yonsei University Wonju College of Medicine, Korea
  • 3Department of Emergency Medicine, Wonju Severance Christian Hospital, Wonju, Korea
  • 4Department of Medical Education and Medical Humanities, Kyung Hee University School of Medicine, Seoul, Korea
  • 5Department of Medical Education, Jeju National University School of Medicine, Jeju, Korea


Concern for patient safety underlies the need for interprofessional education (IPE). One way to measure the effectiveness of IPE is by measuring attitude change toward other healthcare professionals; however, there are currently no valid Korean tools to measure such a change in attitudes. Therefore, this study aims to develop and test a Korean version of the Interprofessional Attitudes Scale (IPAS). The original IPAS was translated into Korean according to the World Health Organization’s guidelines after obtaining permission from the article’s corresponding author. A total of 414 questionnaires were collected from third- and fourth-year medical and nursing students at four Korean institutions in December 2018. To analyze the validity of the Korean IPAS, exploratory and confirmatory factor analyses were conducted. Cronbach’s α was used to evaluate reliability. Results from the exploratory factor analysis identified four functions: teamwork, community-centeredness, patient-centeredness, and respect for diversity. Significant cross-correlations were found among the four functions (r=0.438–0.631, p<0.001) along with overall reliability (Cronbach’s α=0.929) and reliability of each subfactor (Cronbach’s α=0.804–0.897). This study verified the validity and reliability of the Korean version of the IPAS, so this scale can be used in the future to measure the effectiveness of IPE in Korea.


Attitude; Medical student; Nursing student; Patient safety; Statistical factor analysis
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