Journal List > J Korean Acad Nurs > v.42(5) > 1002850

Kim, Park, and Park: Development and Effectiveness of a Drug Dosage Calculation Training Program using Cognitive Loading Theory based on Smartphone Application

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, χ2-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 smart-phone 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.

References

Aspden P.., Wolcott J. A.., Bootman J. L.., Cronenwett L.R. 2007. Preventing medication errors: Quality chasm series. Washington DC: National Academy of Sciences.
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.
crossref
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.
crossref
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.
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.
crossref
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.
crossref
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.
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.
crossref
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.
crossref
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:
Keller J.M. 1983. Motivational design of instruction. Reigeluth C.M., editorInstructional-design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum Associates.
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.
crossref
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.
crossref
Lee B.Y. 2010. Development and evaluation of nursing infobuttons on medication to prevent medication administration errors. Unpublished master’s.
Low D.., Clark N.., Soar J.., Padkin A.., Stoneham A.., Perkins G. D., et al2011. A randomised control trial to determine if use of the iResus© 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.
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.
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.
Moreno-Ger P.., Torrente J.., Bustamante J.., Fernández-Galaz C.., Fernán-dez-ManjÓn 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.
crossref
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.
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.
crossref
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.
crossref
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.
Pozehl B.J. 1996. Mathematical calculation ability and mathematical anxiety of baccalaureate nursing students. Journal of Nursing Education. 35:37–39.
crossref
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.
crossref
Røykenes 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.
crossref
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.
Tilden V. P.., Nelson C. A.., May B.A. 1990. The IPR inventory: Development and psychometric characteristics. Nursing Research. 39:337–343.
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.
crossref
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.
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.
crossref

Figure 1.
Program development procedure.
jkan-42-689f1.tif
Figure 2.
Developed smartphone-based drug dosage calculation application.
jkan-42-689f2.tif
Table 1.
Principles of the Application Development and Examples of the Questionnaires
Principles of the application development
Teaching strategies for reducing cognitive loading Construction strategies for smartphone based application development
Goal-free effect Construct the learning area and the gaming area. Doesn't display the aim of the lesson in the learning area.
Worked example effect Insert the example tabs on the introduction page in the learning area, which provide solved examples.
Completion problem effect Provide the tips, but make participants write the answers themselves.
Split attention effect Arrange all contents in one page which prevents scrolling to see the cut screen.
Variability practice effect Construct gaming area in order to help participants solve the questionnaires repeatedly.
Modality effect Provide the screen changes and auditory stimulations at the period of scoring.
Redundancy effect Construct the standardized form of questionnaire to prevent cognitive loading resulting from the various information sources.
Multi-media effect Use visual stimuli and auditorial stimuli with graphs, illustrations and audio clips.
Examples of the questionnaires
Metric conversion Convert 1.17 g to mg.
Tablet calculation 62.5 mcg of digoxin is prescribed daily. On hand you have 250 mcg tablets. How many tablets will you give?
Fluid dosage calculation 0.75 g of lincomycin hydrochloride IV 8-12 hourly is prescribed. On hand you have 300 mg in 2 mL. How many mL will you administer?
Drop rate calculation 1 L of Lactated Ringer's solution is prescribed over 10 hours. The drop factor is 15. What is the drip rate (drops/minute) required?
Table 2.
Homogeneity Test of Study Variables at the Baseline (N=78)
Variables Categories (Numbers of items) Exp. (n=37) Cont. (n=41) t/χ2 (p)
n (%) or M±SD
Age (year) 20.30±1.51 20.15±1.28 0.48 (.633)
Gender* Female 36 (97.3) 37 (90.2) (.362)
Male 1 (0.7) 4 (9.8)
Self-efficacy for drug dosage calculation Confidence for mathematics (6) 3.30±0.66 3.09±0.79 1.23 (.211)
Confidence for drug dosage calculation (7) 2.98±0.72 2.71±0.75 1.64 (.106)
Total (13) 3.13±0.62 2.89±0.72 1.58 (.119)
Anxiety for drug dosage calculation Fear of asking help (4) 2.97±0.52 3.01±0.69 −0.24 (.812)
Self-concept (7) Total (11) 2.11±0.67 2.42 0.50 2.60±0.93 2.75 0.67 −2.66 (.010) 2.41 (.018)
Total (11) 2.42±0.50 2.75±0.67 −2.41 (.018)
Calculation ability Metric conversion (3) 2.27±0.87 1.98±0.69 1.67 (.100)
Tablet dosage calculation (3) 0.95±0.23 1.07±0.41 −1.66 (.101)
Fluid amount calculation (3) 2.76±0.72 2.63±0.80 0.71 (.481)
Drop rate calculation (3) 1.43±1.07 1.10±0.92 1.48 (.144)
Total (12) 7.40±2.18 6.78±1.59 1.43 (.156)

Exp.=Experimental group; Cont.=Control group. *Fisher's exact test.

Table 3.
Group Comparisons of Dependent Variables at the Posttest (N=78)
Variables Categories Exp. (n=37) Cont. (n=41) t or F (p)
M±SD M±SD
Self-efficacy for drug dosage Confidence for mathematics 3.48±0.60 3.15±0.75 2.15 (.035)
   calculation Confidence for drug dosage calculation 3.66±0.64 2.95±0.77 4.45 (<.001)
Total 3.58±0.57 3.04±0.67 3.82 (<.001)
Anxiety for drug dosage Fear of asking help 3.02±0.67 2.90±0.65 0.79 (.433)
   calculation Self-concept* 2.14±0.65 2.51±0.69 0.82 (.684)
Total* 2.46±0.49 2.65±0.43 0.66 (.862)
Calculation ability Metric conversion 2.19±0.91 1.78±0.69 2.25 (.027)
Tablet dosage calculation 2.54±0.77 2.12±0.90 2.20 (.031)
Fluid amount calculation 2.81±0.57 2.63±0.70 1.23 (.223)
Drop rate calculation 2.41±0.80 1.41±1.09 4.60 (<.001)
Total 9.95±2.31 7.95±2.12 3.98 (<.001)
Satisfaction for program Effective way to learn 4.38±0.72
Generally appropriate 4.30±0.57
Recommendable 4.24±0.55
Frequency Visit to learning area (number/week) 5.45±7.10
Visit to game area (number/week) 7.68±10.26
Connect hours (min/week) 21.93±26.61

Exp.=Experimental group; Cont.=Control group. *ANCOVAs were used to identify group differences at post-test.

TOOLS
Similar articles