Document Type : Original Article

Authors

1 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

2 Department of Anesthesiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

3 Department of Critical Care and Geriatric Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran

4 Department of Health Information Technology, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran

5 Department of Health Information Technology, School of Allied Medical Sciences, Zabol University of Medical Sciences, Zabol, Iran

Abstract

BACKGROUND: Pain is a common health issue and acute pain is the main problem for patients
after surgery and injury. Inadequate and inappropriate management of pain is dangerous and costly
for patients and leads to undesirable health effects. To overcome this problem, empowerment of
the health‑care team, especially nurses, is essential. Today, to improve the quality of health‑care
provision, various methods are used that e‑learning is one of them.
MATERIALS AND METHODS: Based on the studies on pain management, existing parameters
were extracted, and according to them, the educational content of the software was approved by
nursing professors and anesthesiologists. The Unified Modeling Language diagrams were designed
to provide a better understanding of the entities and the order in which the software operates. The
software was implemented in the google android studio environment using Photoshop and JQuery
mobile. Finally, the software was evaluated by using Questionnaire for User Interface Satisfaction.
The software was evaluated by experts and students in two stages. The first stage was evaluated
by eight anesthesiologists and nursing professors, and the second stage was evaluated with the
participation of 55 undergraduate students and 28 M.Sc. nursing students.
RESULTS: The software was developed with two main modules of training and testing, and sections
of the report, about us and exit, and four scenarios for the test section. In the initial evaluation of
software by experts with an average of 91.85%, and in the second assessment of students, with a
mean of 78.15%, application software was evaluated at a good level.
CONCLUSIONS: In order to teach academic and practical (clinical) materials to students, the use of
digital teaching aids and e‑learning, along with traditional methods such as lectures, increases the
students’ eagerness, and motivation to learn more and thereby enhance the level of learning and
improving the quality of education.

Keywords

1. Dale J, Bjørnsen LP. Assessment of pain in a Norwegian
emergency department. Scand J Trauma Resusc Emerg Med
2015;23:86.
2. Argoff CE. Recent management advances in acute postoperative
ain. Pain Pract 2014;14:477‑87.
3. Tavakoli A, Norouzi M, Hajizadeh E. Patients’ satisfaction
from pain soothing after the surgery in Kerman Hospitals.
J Kermanshah Univ Med Sci 2007;11:206-14.
4. Drake G, de C Williams AC. Nursing education interventions for
managing acute pain in hospital settings: A systematic review
of clinical outcomes and teaching methods. Pain Manag Nurs
2017;18:3‑15.
5. Dunwoody CJ, Krenzischek DA, Pasero C, Rathmell JP,
Polomano RC. Assessment, physiological monitoring, and
consequences of inadequately treated acute pain. J Perianesth
Nurs 2008;23:S15‑27.
6. Khatooni M, Alimoradi Z, Sibni FS, Shafiee Z, Atashi V. The
impact of an educational software designed about fundamental
of nursing skills on nursing students’ learning of practical skills.
Journal of Clinical Nursing and Midwifery 2014;3:9‑16.
7. Radhakrishnan K, Roche JP, Cunningham H. Measuring
clinical practice parameters with human patient simulation:
A pilot study. Int J Nurs Educ Scholarsh 2007;4:Article8. doi:
10.2202/1548‑923X.1307. Epub 2007 Feb 21.
8. Welsh ET, Wanberg CR, Brown KG, Simmering MJ. E-learning:
Emerging uses, empirical results and future directions. Int J Train
Dev 2003;7:245‑58.
9. Farhadi R. Electronic education: New paradigm in information
era. J Sci Inform Technol 2006;21:18.
10. Kia AA. Take a Look at Virtual Training (Electronic). Social Science
Quarterly Book Review. Tehran: Institute for Humanities and
Cultural Studies;2010;24 p. 1‑8.
11. Botzer G, Yerushalmy M. Mobile Application for Mobile Learning.
In: Proceedings of IADIS International Conference on Cognition
and Exploratory Learning in Digital Age (CELDA 2007); 2007.
p. 7‑9.
12. Wu PH, Hwang GJ, Tsai CC, Chen YC, Huang YM. A pilot study
on conducting mobile learning activities for clinical nursing
courses based on the repertory grid approach. Nurse Educ Today
2011;31:e8‑15.
13. Shahmoradi L, Ahmadi M, Haghani H. Determining the most
important evaluation indicators of healthcare information
systems (HCIS) in Iran. Health Inform Manag J 2007;36:13‑22.
14. Dehkordi SK. Design and Implementation of a Self‑Management
Mobile Application for Patients with Inflammatory Bowel
Disease (IBD) [Master’s thesis]. Tehran: Tehran University of
Medical Sciences; 2016.p. 110‑115
15. Lawshe CH. A quantitative approach to content validity. Pers
Psychol 1975;28:563‑75.
16. Chin JP, Diehl VA, Norman KL. Development of an Instrument
Measuring User Satisfaction of the Human‑Computer Interface.
In: Proceedings of the SIGCHI Conference on Human Factors in
Computing Systems. ACM; 1988. p. 213‑8.
17. Alvarez AG, Dal Sasso GT, Iyengar MS. Persuasive technology
in teaching acute pain assessment in nursing: Results in learning
based on pre and post‑testing. Nurse Educ Today 2017;50:109‑14.
18. Safdari R, Charkhsaz N, Montaseri MA, Montaseri N. Survey
the effect of CPR simulation training software on the satisfaction
of operating room and medical emergency students in Tehran
University of medical sciences. J Nurs Educ 2017;5:1‑10.
19. Shahmoradi L, Changizi V, Mehraeen E, Bashiri A, Jannat B,
Hosseini M. The challenges of E‑learning system: Higher
educational institutions perspective. J Educ Health Promot
2018;7:116.