Measuring the interprofessional collaborative competencies of health-care students using a validated Indonesian version of the CICS29

References

• Acquavita, S. P., Lewis, M. A., Aparicio, E., & Pecukonis, E. (2014). Student perspectives on interprofessional education experiences. Journal of Allied Health, 43(2), e31–e36.
   PubMedGoogle Scholar
• Allport, G. (1954). The nature of prejudice. New York, NY: Doubleday & Company Inc.
   Google Scholar
• Baker, L., Egan-Lee, E., Martimianakis, M. A., & Reeves, S. (2011). Relationships of power: Implications for interprofessional education. Journal of Interprofessional Care, 25, 98–104. doi:10.3109/13561820.2010.505350
   PubMed Web of Science ®Google Scholar
• Barr, H., Koppel, I., Reeves, S., Hammick, M., & Freeth, D. (2005). Effective interprofessional education: Assumption, argument and evidence. London, UK: Blackwell.
   Google Scholar
• Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. doi:10.1097/00007632-200012150-00014
   PubMed Web of Science ®Google Scholar
• Borsa, J. C., Damásio, B. F., & Bandeira, D. R. (2012). Cross-cultural adaptation and validation of psychological instruments: Some considerations. Paidéia (Ribeirão Preto), 22(53), 423–432. doi:10.1590/1982-43272253201314
   Google Scholar
• Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-cultural Psychology, 1(3), 185–216. doi:10.1177/135910457000100301
   Web of Science ®Google Scholar
• Centre for the Advancement of Interprofessional Education. (1997). Interprofessional education – A definition. London, UK: Author.
   Google Scholar
• Eva, K. W., & Regehr, G. (2005). Self-assessment in the health professions: A reformulation and research agenda. Academic Medicine, 80(10), S46–S54. doi:10.1097/00001888-200510001-00015
   PubMed Web of Science ®Google Scholar
• Field, A. (2009). Discovering statistics using SPSS (2nd ed.). London, UK: Sage Publications.
   Google Scholar
• Hambleton, R. K. (2005). Issues, designs, and technical guidelines for adapting tests into multiple languages and cultures. In R. K. Hambleton, P. F. Merenda, & C. D. Spielberger (Eds.), Adapting educational and psychological tests for cross-cultural assessment (pp. 3–38). Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Holtgraves, T. (2004). Social desirability and self-reports: Testing models of socially desirable responding. Personality and Social Psychology Bulletin, 30(2), 161–172. doi:10.1177/0146167203259930
   PubMed Web of Science ®Google Scholar
• Hood, K., Cant, R., Baulch, J., Gilbee, A., Leech, M., Anderson, A., & Davies, K. (2014). Prior experience of interprofessional learning enhances undergraduate nursing and healthcare students’ professional identity and attitudes to teamwork. Nurse Education in Practice, 14(2), 117–122. doi:10.1016/j.nepr.2013.07.013
   PubMed Web of Science ®Google Scholar
• Horsburgh, M., Lamdin, R., & Williamson, E. (2001). Multiprofessional learning: The attitudes of medical, nursing and pharmacy students to shared learning. Medical Education, 35(9), 876–883. doi:10.1046/j.1365-2923.2001.00959.x
   PubMed Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• IBM Corp. (2013). IBM SPSS Statistics Version 22.0. Armonk, NY: IBM Corp.
   Google Scholar
• Interprofessional Education Collaborative Expert Panel. (2011). Core competencies for interprofessional collaborative practice: Report of an expert panel. Washington, DC: Interprofessional Education Collaborative.
   Google Scholar
• Judge, M. P., Polifroni, E. C., Maruca, A. T., Hobson, M. E., Leschak, A., & Zakewicz, H. (2015). Evaluation of students’ receptiveness and response to an interprofessional learning activity across health care disciplines: An approach toward team development in healthcare. International Journal of Nursing Sciences, 2(1), 93–98. doi:10.1016/j.ijnss.2015.01.003
   Web of Science ®Google Scholar
• Judge, M. P., Polifroni, E. C., & Zhu, S. (2015). Influence of student attributes on readiness for interprofessional learning across multiple healthcare disciplines: Identifying factors to inform educational development. International Journal of Nursing Sciences, 2(3), 248–252. doi:10.1016/j.ijnss.2015.07.007
   Web of Science ®Google Scholar
• Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognising one’s own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6), 1121–1134. doi:10.1037/0022-3514.77.6.1121
   PubMed Web of Science ®Google Scholar
• MacNaughton, K., Chreim, S., & Bourgeault, I. L. (2013). Role construction and boundaries in interprofessional primary health care teams: A qualitative study. BMC Health Services Research, 13, 486. doi:10.1186/1472-6963-13-486
   PubMed Web of Science ®Google Scholar
• Oates, M., & Davidson, M. (2015). A critical appraisal of instruments to measure outcomes of interprofessional education. Medical Education, 49(4), 386–398. doi:10.1111/medu.12681
   PubMed Web of Science ®Google Scholar
• Parsell, G., & Bligh, J. (1999). The development of a questionnaire to assess the readiness of health care students for interprofessional learning (RIPLS). Medical Education, 33(2), 95–100. doi:10.1046/j.1365-2923.1999.00298.x
   PubMed Web of Science ®Google Scholar
• Reeves, S., Fletcher, S., Barr, H., Birch, I., Boet, S., Davies, N., & Kitto, S. (2016). A BEME systematic review of the effects of interprofessional education: BEME Guide No. 39. Medical Teacher, 38(7), 656–668. doi:10.3109/0142159X.2016.1173663
   PubMed Web of Science ®Google Scholar
• Reeves, S., Perrier, L., Goldman, J., Freeth, D., & Zwarenstein, M. (2013). Interprofessional education: Effects on professional practice and healthcare outcomes (update). Cochrane Database of Systematic Reviews, (3), CD002213. doi:10.1002/14651858.CD002213.pub3
   PubMed Web of Science ®Google Scholar
• Sakai, I., Yamamoto, T., Takahashi, Y., Maeda, T., Kunii, Y., & Kurokochi, K. (2017). Development of a new measurement scale for interprofessional collaborative competency: The Chiba Interprofessional Competency Scale (CICS29). Journal of Interprofessional Care, 31(1), 59–65. doi:10.1080/13561820.2016.1233943
   PubMed Web of Science ®Google Scholar
• Sargeant, J., Loney, E., & Murphy, G. (2008). Effective interprofessional teams: ‘Contact is not enough’ to build a team. Journal of Continuing Education for Health Professionals, 28(4), 228–234. doi:10.1002/chp.189
   PubMed Web of Science ®Google Scholar
• Schreiber, J. B., Stage, F. K., Barlow, E. A., Nora, A., & Barlow, E. A. (2006). Reporting structural equation modelling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–337. doi:10.3200/JOER.99.6.323-338
   Web of Science ®Google Scholar
• Sperber, A. D., DeVellis, R. F., & Boehlecke, B. (1994). Cross-cultural translation: Methodology and validation. Journal of Cross-cultural Psychology, 25(4), 501–524. doi:10.1177/0022022194254006
   Web of Science ®Google Scholar
• Tanzer, N. K. (2005). Developing tests for use in multiple languages and cultures: A plea for simultaneous development. In R. K. Hambleton, P. F. Merenda, & C. D. Spielberger (Eds.), Adapting educational and psychological tests for cross-cultural assessment (pp. 235–264). Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modelling. In R. H. Hoyle (Ed.), Handbook of structural equation modelling (pp. 209–231). New York, NY: Guilford.
   Google Scholar
• World Health Organization. (2008, February). Spotlight on statistics issue 2: Gender and health workforce statistics. Retrieved from www.who.int/hrh/statistics/spotlight_2.pdf
   Google Scholar
• World Health Organization. (2010). Framework for action on interprofessional education and collaborative practice (WHO reference number: WHO/HRH/HPN/10.3). Geneva, Switzerland: Author.
   Google Scholar
• Yamamoto, T., Sakai, I., Takahashi, Y., Maeda, T., Kunii, Y., & Kurokochi, K. (2014). Development of a new measurement scale for interprofessional collaborative competency: A pilot study in Japan. Journal of Interprofessional Care, 28(1), 45–51. doi:10.3109/13561820.2013.851070
   PubMed Web of Science ®Google Scholar