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Development and Effectiveness of a Drug Dosage Calculation Training Program using Cognitive Loading Theory Based on Smartphone Application

인지부하이론을 적용한 약물계산훈련용 스마트폰 어플리케이션의 개발 및 효과

  • Received : 2012.02.01
  • Accepted : 2012.09.23
  • Published : 2012.10.31

Abstract

Purpose: This study was done to develop and evaluate a drug dosage calculation training program using cognitive loading theory based on a smartphone application. Calculation ability, dosage calculation related self-efficacy and anxiety were measured. Methods: A nonequivalent control group design was used. Smartphone application and a handout for self-study were developed and administered to the experimental group and only a handout was provided for control group. Intervention period was 4 weeks. Data were analyzed using descriptive analysis, ${\chi}^2$-test, t-test, and ANCOVA with the SPSS 18.0. Results: The experimental group showed more 'self-efficacy for drug dosage calculation' than the control group (t=3.82, p<.001). Experimental group students had higher ability to perform drug dosage calculations than control group students (t=3.98, p<.001), with regard to 'metric conversion' (t=2.25, p =.027), 'table dosage calculation' (t=2.20, p =.031) and 'drop rate calculation' (t=4.60, p<.001). There was no difference in improvement in 'anxiety for drug dosage calculation'. Mean satisfaction score for the program was 86.1. Conclusion: These results indicate that this drug dosage calculation training program using smartphone application is effective in improving dosage calculation related self-efficacy and calculation ability. Further study should be done to develop additional interventions for reducing anxiety.

Keywords

References

  1. Aspden, P., Wolcott, J. A., Bootman, J. L., & Cronenwett, L. R. (2007). Preventing medication errors: Quality chasm series. Washington DC: National Academy of Sciences.
  2. Bandura, A. (1978). Self-efficacy: Toward a unifying theory of behavioral change. Advances in Behaviour Research and Therapy, 1, 139-161. http://dx.doi.org/10.1016/0146-6402(78)90002-4
  3. Bliss-Holtz, J. (1994). Discriminating types of medication calculation errors in nursing practice. Nursing Research, 43, 373-375. http://dx.doi.org/10.1097/00006199-199411000-00010
  4. Brown, D. L. (2002). Does 1 + 1 still equal 2? A study of the mathematic competencies of associate degree nursing students. Nurse Education, 27, 132-135. https://doi.org/10.1097/00006223-200205000-00011
  5. Grandell-Niemi, H., Hupli, M., Leino-Kilpi, H., & Puukka, P. (2003). Medication calculation skills of nurses in Finland. Journal of Clinical Nursing, 12, 519-528. http://dx.doi.org/10.1046/j.1365-2702.2003.00742.x
  6. Hanna, D., Shevlin, M., & Dempster, M. (2008). The structure of the statistics anxiety rating scale: A confirmatory factor analysis using UK psychology students. Personality and Individual Differences, 45, 68-74. http://dx.doi.org/10.1016/j.paid.2008.02.021
  7. Heo, C. Y., & Kim, J. E. (2011, June). Developing technology of remote consultation based on mobile and evaluation of the usefulness for chronic wound (pressure ulcer). Paper presented at the meeting of the Korean Society of Medical Informatics, Seoul.
  8. Hicks, R. W., Becker, S. C., Krenzischeck, D., & Beyea, S. C. (2004). Medication errors in the PACU: A secondary analysis of MEDMARX findings. Journal of Perianesthesia Nursing, 19, 18-28. http://dx.doi.org/10.1016/j.jopan.2003.11.007
  9. Hollender, N., Hofmann, C., Deneke, M., & Schmitz, B. (2010). Integrating cognitive load theory and concepts of human-computer interaction. Computers in Human Behavior, 26, 1278-1288. http://dx.doi.org/10.1016/j.chb.2010.05.031
  10. Jung, H. J. (2010). A study on the development of teaching materials based on the cognitive load theory: Focused on the creative engineering design subject. Unpublished master's thesis, Dankook University, Seoul.
  11. Keller, J. M. (1983). Motivational design of instruction. In C. M. Reigeluth (Ed.), Instructional-design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum Associates.
  12. Kim, C. H., & Kim, M. (2009). Defining reported errors on web-based reporting system using ICPS from nine units in a Korean university hospital. Asian Nursing Research, 3, 167-176. https://doi.org/10.1016/S1976-1317(09)60028-1
  13. Kim, Y. M., Kim, S. Y., Kim, M. Y., Kim, J. H., Lee, S. K., & Jang, M. K. (2010). Patient safety program and safety culture. Journal of Korean Academy of Nursing Administration, 16, 455-465. https://doi.org/10.11111/jkana.2010.16.4.455
  14. Lee, B. Y. (2010). Development and evaluation of nursing infobuttons on medication to prevent medication administration errors. Unpublished master's thesis, Inha university, Incheon.
  15. Low, D., Clark, N., Soar, J., Padkin, A., Stoneham, A., Perkins, G. D., et al. (2011). A randomised control trial to determine if use of the $iResus^{(C)}$ application on a smart phone improves the performance of an advanced life support provider in a simulated medical emergency. Anaesthesia, 66, 255-262. http://dx.doi.org/10.1111/j.1365-2044.2011.06649.x
  16. Mayo, A. M., & Duncan, D. (2004). Nurse perception of medication errors: What we need to know for patient safety. Journal of Nurse Care Quality, 19, 209-217 https://doi.org/10.1097/00001786-200407000-00007
  17. McMullan, M., Jones, R., & Lea, S. (2011). The effect of an interactive e-drug calculations package on nursing students' drug calculation ability and self-efficacy. International Journal of Medical Informatics, 80, 421-430. http://dx.doi.org/10.1016/j.ijmedinf.2010.10.021
  18. Moreno-Ger, P., Torrente, J., Bustamante, J., Fernandez-Galaz, C., Fernandez-Manjon, B., & Comas-Rengifo, M. D. (2010). Application of a low-cost web-based simulation to improve students' practical skills in medical education. International Journal of Medical Informatics, 79, 459-467. http://dx.doi.org/10.1016/j.ijmedinf.2010.01.017
  19. Nasiri, E., Babatabar, H. D., & Mortazavi, Y. (2009). Nurses' drug calculation ability in intensive care unit. Iranian Journal of Critical Care Nursing, 2, 113-115.
  20. Nguyen, T. D., Attkisson, C. C., & Stegner, B. L. (1983). Assessment of patient satisfaction: Development and refinement of a service evaluation questionnaire. Evaluation and Program Planning, 6, 299-313. http://dx.doi.org/10.1016/0149-7189(83)90010-1
  21. Onwuegbuzie, A. J., & Wilson, V. A. (2003). Statistics anxiety: Nature, etiology, antecedents, effects and treatments-A comprehensive review of the literature. Teaching in Higher Education, 8, 195-209. http://dx.doi.org/10.1080/1356251032000052447
  22. Polifroni, E. C., Allchin, L., & McNulty, J. J. (2005). Limited math skills: A prescription for change. Journal for Nurses in Staff Development, 21, 79-81. https://doi.org/10.1097/00124645-200503000-00009
  23. Pozehl, B. J. (1996). Mathematical calculation ability and mathematical anxiety of baccalaureate nursing students. Journal of Nursing Education, 35, 37-39.
  24. Rainboth, L., & DeMasi, C. (2006). Nursing students' mathematic calculation skills. Nurse Education Today, 26, 655-661. http://dx.doi.org/10.1016/j.nedt.2006.07.022
  25. Roykenes, K., & Larsen, T. (2010). The relationship between nursing students' mathematics ability and their performance in a drug calculation test. Nurse Education Today, 30, 697-701. http://dx.doi.org/10.1016/j.nedt.2010.01.009
  26. Sweller, J. (1994). Cognitive load theory, learning difficulty, and instruction design. Learning and Instruction, 4, 295-312. http://dx.doi.org/10.1016/ 0959-4752(94)90003-5
  27. Tilden, V. P., Nelson, C. A., & May, B. A. (1990) The IPR inventory: Development and psychometric characteristics. Nursing Research, 39, 337-343.
  28. Tsai, S. L., & Chai, S. K. (2005). Developing and validating a nursing website evaluation questionnaire. Journal of Advanced Nursing, 49, 406-413. http://dx.doi.org/10.1111/j.1365-2648.2004.03304.x
  29. Walsh, K. A. (2008). The relationship among mathematics anxiety, beliefs about mathematics, mathematics self-efficacy, and mathematics performance in associate degree nursing students. Nursing Education Perspectives, 29, 226-229.
  30. Wright, K. (2008). Can effective teaching and learning strategies help student nurses to retain drug calculation skills? Nurse Education Today, 28, 856-864. http://dx.doi.org/10.1016/j.nedt.2008.01.002

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