Translation and validation of the Swedish version of the IPECC-SET 9 item version

References

• Anderson, E. S. (2016). Evaluating interprofessional education: An important step to improving practice and influencing policy. Journal of Taibah University Medical Sciences, 11(6), 571–578. https://doi.org/10.1016/j.jtumed.2016.08.012
   Web of Science ®Google Scholar
• Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573. https://doi.org/10.1007/BF02293814
   Web of Science ®Google Scholar
• Axelsson, M., Jakobsson, J., & Carlson, E. (2019). Which nursing students are more ready for interprofessional learning? A cross-sectional study. Nurse Education Today, 10(79), 117–123. https://doi.org/10.1016/j.nedt.2019.05.019
   Google Scholar
• Bandura, A. (1977). Self-efficacy: The exercise of control. W. H. Freeman.
   Google Scholar
• Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. I. Urdan (Eds.), Self-efficacy beliefs of adolescents (Vol. 5, pp. 307–337). Information Age Publishing.
   Google Scholar
• Beaton, D. E., Bombardier, C., Guillemin, F., & Bosi Ferraz, M. (2000). Guidelines for the process of cross–cultural adaptation of self–reported measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014
   PubMed Web of Science ®Google Scholar
• Bond, T. G., & Fox, C. M. (2015). Applying the Rasch Model: Fundamental measurement in the human sciences (3rd ed.). L. Erlbaum.
   Google Scholar
• Boone, W. J. (2016). Rasch analysis for instrument development: Why, when, and how? CBE-Life Science Education, 15(4), 1–7. https://doi.org/10.1187/cbe.16-04-0148
   Web of Science ®Google Scholar
• Brandt, B. F., & Schmitz, C. C. (2017). The US national center for interprofessional practice and education measurement and assessment collection. Journal of Interprofessional Care, 31(3), 277–281. https://doi.org/10.1080/13561820.2017.1286884
   PubMed Web of Science ®Google Scholar
• Center for the Advancement of Interprofessional Education. Collaborative practice through learning together to work together (2016). https://www.caipe.org/resource/CAIPE-Statement-of-Purpose-2016.pdf
   Google Scholar
• Coulthard, R. J. (2013). Rethinking back-translation for the cross-cultural adaptation of health-related questionnaires: Expert translators make back-translation unnecessary [Unpublished doctoral dissertation], Federal University of Santa Catarina).https://repositorio.ufsc.br/xmlui/handle/123456789/123163
   Google Scholar
• Cronenwett, L., Sherwood, G., Barnsteiner, J., Disch, J., Johnson, J., Mitchell, P., Sullivan, D. T., & Warren, J. (2007). Quality and safety education for nurses. Nursing Outlook, 55(3), 122–131. https://doi.org/10.1016/j.outlook.2007.02.006
   PubMed Web of Science ®Google Scholar
• Fisher, W. P. (1992). Reliability, separation, strata statistics. Rasch Measurement Transactions, 6(3), 238. https://www.rasch.org/rmt/rmt63i.htm
   Google Scholar
• Frenk, J., Chen, L., Bhutta, Z. A., Cohen, J., Crisp, N., Evans, T., Fineberg, H., Garcia, P., Ke, Y., Kelley, P., Kistnasamy, B., Meleis, A., Naylor, D., Pablos-Mendez, A., Reddy, S., Scrimshaw, S., Sepulveda, J., Serwadda, D., & Zurayk, H. (2010). Health professionals for a new century: Transforming education to strengthen health systems in an interdependent world. Lancet, 376(9756), 1923–1958. https://doi.org/10.1016/S0140-6736(10)61854-5
   PubMed Web of Science ®Google Scholar
• Guraya, S. Y., & Barr, H. (2018). The effectiveness of interprofessional education in healthcare: A systematic review and meta-analysis. The Kaohsiung Journal of Medical Sciences, 34(3), 160–165. https://doi.org/10.1016/j.kjms.2017.12.009
   PubMed Web of Science ®Google Scholar
• Hagquist, C., Bruce, M., & Gustavsson, J. P. (2009). Using the Rasch model in nursing research: An introduction and illustrative example. International Journal of Nursing Studies, 46(3), 380–393. https://doi.org/10.1016/j.ijnurstu.2008.10.007
   PubMed Web of Science ®Google Scholar
• Hällgren, M., Nygård, L., & Kottorp, A. (2011). Technology and everyday functioning in people with intellectual disabilities: A Rasch analysis of the Everyday Technology Use Questionnaire (ETUQ). Journal of Intellectual Disability Research, 55(6), 610–620. https://doi.org/10.1111/j.1365-2788.2011.01419.x
   PubMed Web of Science ®Google Scholar
• Hasnain, M., Gruss, V., Keehn, M., Peterson, E., Valenta, L. A., & Kottorp, A. (2017). Development and validation of a tool to assess self-efficacy for competence in interprofessional collaborative practice. Journal of Interprofessional Care, 31(2), 255–262. https://doi.org/10.1080/13561820.2016.1249789
   PubMed Web of Science ®Google Scholar
• Interprofessional Education Collaborative. (2011). Core competencies for interprofessional collaborative practice: Report of an expert panel. https://nexusipe-resource-exchange.s3.amazonaws.com/IPEC_CoreCompetencies_2011.pdf
   Google Scholar
• Interprofessional Education Collaborative. (2016). Core competencies for interprofessional collaborative practice: 2016 Update. https://hsc.unm.edu/ipe/resources/ipec-2016-core-competencies.pdf
   Google Scholar
• Kottorp, A., Bernspång, B., & Fisher, A. G. (2003). Validity of a performance assessment of activities of daily living (ADL) in persons with developmental disabilities. Journal of Intellectual Disability Research, 47(8), 597–605. https://doi.org/10.1046/j.1365-2788.2003.00475.x
   PubMedGoogle Scholar
• Kottorp, A., Keehn, M., Hasnain, M., Gruss, V., & Peterson, E. (2019). Instrument refinement for measuring self-efficacy for competence in interprofessional collaborative practice: Development and psychometric analysis of IPECC-SET 27 and IPECC-SET 9. Journal of Interprofessional Care, 33(1), 47–56. https://doi.org/10.1080/13561820.2018.1513916
   PubMed Web of Science ®Google Scholar
• Lerdal, A., & Kottorp, A. (2011). Psychometric properties of the fatigue severity scale-Rasch analyses of individual responses in a Norwegian stroke cohort. International Journal of Nursing Studies, 48(10), 1258–1265. https://doi.org/10.1016/j.ijnurstu.2011.02.019
   PubMed Web of Science ®Google Scholar
• Lerdal, A., Kottorp, A., Gay, C., Aouizerat, B. E., Lee, K. A., & Miaskowski, C. (2016). A Rasch analysis of assessments of morning and evening fatigue in oncology patients using the lee fatigue scale. Journal of Pain and Symptom Management, 51(6), 1002–1012. https://doi.org/10.1016/j.jpainsymman.2015.12.331
   PubMed Web of Science ®Google Scholar
• Linacre, J. M. (1994). Sample size and item calibration stability. Rasch Measurement Transactions, 7 (4), 328. https://www.rasch.org/rmt/rmt74m.htm
   Google Scholar
• Linacre, J. M. (2004). Optimizing rating scale category effectiveness. In E. V. Smith & R. M. Smith (Eds.), Introduction to Rasch measurement: Theory, models and applications (pp. 258–278). JAM Press.
   Google Scholar
• Linacre, J. M. (2015). WINSTEPS—Rasch Model Computer Program. Version 3.91.0.0. Portland, Oregon: Winsteps.com. www.winsteps.com
   Google Scholar
• Linacre, J. M. (2021). Winsteps® Rasch measurement computer program User's Guide. Version 5.1.7. Portland, Oregon: Winsteps.com. www.winsteps.com
   Google Scholar
• Mantel, N. (1963). Chi-square tests with one degree of freedom: Extensions of the Mantel Haenszel procedure. Journal of the American Statistical Association, 58(303), 690–700. https://doi.org/10.2307/2282717
   Web of Science ®Google Scholar
• Mantel, N., & Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute, 22(4), 719–748. https://doi.org/10.1093/jnci/22.4.719
   PubMed Web of Science ®Google Scholar
• Masters, G. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174. https://doi.org/10.1007/BF02296272
   Web of Science ®Google Scholar
• Nørgaard, B., Draborg, E., Vestergaard, E., Odgaard, E., Cramer Jensen, D., & Sørensen, J. (2013). Interprofessional clinical training improves self-efficacy of health care students. Medical Teacher, 35(6), 1235–1242. https://doi.org/10.3109/0142159X.2012.746452
   PubMed Web of Science ®Google Scholar
• Patomella, A.-H., Tham, K., & Kottorp, A. (2006). P-drive: Assessment of driving performance after stroke. Journal of Rehabilitation Medicine, 38(5), 273–279. https://doi.org/10.1080/16501970600632594
   PubMed Web of Science ®Google Scholar
• Raynault, A., Lebel, P., Brault, I., Vanier, M.-C., & Flora, L. (2020). How interprofessional teams of students mobilized collaborative competencies and the patient partnership approach in a hybrid IPE course. Journal of Interprofessional Care, 35(4), 574–585. https://doi.org/10.1080/13561820.2020.1783217
   PubMed Web of Science ®Google Scholar
• Reeves, S., Boet, S., Zierler, B., & Kitto, S. (2015). Interprofessional education and practice guide no. 3: Evaluating interprofessional education. Journal of Interprofessional Care, 29(4), 305–312. https://doi.org/10.3109/13561820.2014.1003637
   PubMed Web of Science ®Google Scholar
• Reeves, S., Fletcher, S., Barr, H., Birch, I., Boet, S., Davies, N., McFadyen, A., Rivera, J., & Kitto, S. (2016). A BEME systematic review of the effects of interprofessional education: BEME Guide No. 39. Medical Teacher, 38(7), 656–668. https://doi.org/10.3109/0142159X.2016.1173663
   PubMed Web of Science ®Google Scholar
• Rustøen, T., Lerdal, A., Gay, C., & Kottorp, A. (2018). Rasch analysis of the Herth hope index in cancer patients. Health and Quality of Life Outcomes, 16(196), 1–10. https://doi.org/10.1186/s12955-018-1025-5
   PubMedGoogle Scholar
• Smith, A. B., Rush, R., Fallowfield, L. J., Velikova, G., & Sharpe, M. (2008, May 29). Rasch fit statistics and sample size considerations for polytomous data. BMC Medical Research Methodology, 8, 33. https://doi.org/10.1186/1471-2288-8-33
   PubMed Web of Science ®Google Scholar
• Spaulding, E. M., Marvel, F. A., Jacob, E., Rahman, A., Hansen, R. B., Hanyok, L. A., Martin, S. S., & Han, H.-R. (2021). Interprofessional education and collaboration among health care students and professionals: A systematic review and call for action. Journal of Interprofessional Care, 35(4), 612–621. Epub Dec21. https://doi.org/10.1080/13561820.2019.1697214
   PubMed Web of Science ®Google Scholar
• Statistics Sweden. (2020). Trends and Forecasts 2020 – Population, education and labour market in Sweden, outlook to year 2035. https://www.scb.se/en/finding-statistics/statistics-by-subject-area/education-and-research/analysis-trends-and-forecasts-in-education-and-the-labour-market/trends-and-forecasts-for-education-and-labour-market/pong/statistical-news/trends-and-forecasts-2020/
   Google Scholar
• Streiner, D. L., Norman, G. R., & Cairney, J. (2015). Health measurement scales. A practical guide to their development and use (5th ed.). Oxford University Press.
   Google Scholar
• World Health Organization. (2010) Framework for action on interprofessional education & collaborative practice (WHO/HRH/HPN/10.3). https://www.who.int/hrh/resources/framework_action/en/
   Google Scholar
• World Medical Association. (2013). Declaration of Helsinki - Ethical principles for medical research involving human subjects. https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/
   Google Scholar