Volume 11, Issue 1 (Winter 2022)                   J Occup Health Epidemiol 2022, 11(1): 41-47 | Back to browse issues page

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Ansari Jaberi A, Sahebi Z, Riahi Paghaleh Z, Ansari Jaberi K, Negahban Bonabi T. Can Nurses' Informatics Competency Predict Their Professional Competency?. J Occup Health Epidemiol 2022; 11 (1) :41-47
URL: http://johe.rums.ac.ir/article-1-471-en.html

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1- Instructor, Dept. of Psychiatric and Mental Health Nursing, Social Determinants of Health Research Center, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
2- Instructor, Dept. of Midwifery, Geriatric Care Research Center, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
3- MSc in Nursing Management, Dept. of Nursing Management, Social Determinants of Health Research Center, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
4- MSc Candidate in Medical Informatics, Dept. of Medical Informatics, Student Research Committee, School of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
5- Assistant Prof, Dept. of Community Health Nursing, Social Determinants of Health Research Center, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. , negahbant@yahoo.com
Article history
Received: 2021/09/12
Accepted: 2022/01/30
ePublished: 2022/06/12
Abstract:   (1332 Views)
Background: Understanding the way nurses' informatics competencies affect their mastery of professional competencies can help with providing high quality care and design contents for continuing nursing education. This study aimed to determine the association between nurses' informatics and their clinical competencies.
Materials & Methods: A total of 150 nurses who met the inclusion criteria were enrolled in this descriptive study from three general public hospitals in Rafsanjan, Iran, using stratified random sampling method. Self-reporting data collection was performed applying three questionnaires of (1) personal and job characteristics, (2) the Self-Assessment of Nursing Informatics Competencies Scale (SANIC), and (3) the Competency Inventory for Registered Nurses (CIRN). Data were analyzed using SPSS 22.0 and Kolmogorov-Smirnov, Chi-square, Pearson's correlation coefficient, and linear regression statistical tests.
Results: Female nurses had higher CIRN scores than male ones (p = 0.027). The results of the Pearson's correlation coefficient showed a moderate significant positive association between SANIC and CIRN scores (r = 0.341, p = 0.001). Furthermore, results of the linear regression analysis showed that about 11% of the CIRN score was associated to the SANIC score (P = 0.001). After adjustment based on gender (p = 0.060) and education (p = 0.064), the correlation was not significant.

Conclusion: Given the effect of gender and level of education, there was no significant association between Nursing Informatics Competencies and nurses’ competency. The level of application of informatics in nursing should be reviewed contextually.  
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1. 1. Aceto G, Persico V, Pescapé A. The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges. J Netw Comput Appl 2018; 107:125-54. [DOI]
2. 2. Mathews SC, McShea MJ, Hanley CL, Ravitz A, Labrique AB, Cohen AB. Digital health: a path to validation. NPJ Digit Med 2019; 2:38. [DOI] [PMID] [PMCID]
3. 3. Jedamzik S. Digital health and nursing: The future is now. Unfallchirurg 2019; 122(9):670-5. [DOI] [PMID]
4. 4. Sayonara SFF, Abbott P, Dal Sasso GTM. Nursing in the Digital Health Era. J Nurs Scholarsh 2021; 53(1):5-6. [DOI:] [PMID]
5. 5. World Health Organization. Draft global strategy on digital health 2020–2024. Genève, Switzerland: World Health Organization; 2021. [Report]
6. 6. Hussey P, Hannah KJ. Nursing Informatics: A Core Competency for the Profession. In: Hussey P, Kennedy MA, (eds). Introduction to Nursing Informatics. Health Informatics. Cham: Springer; 2021. [DOI]
7. 7. Valizadeh L, Zamanzadeh V, Eskandari M, Alizadeh S. Professional Competence in Nursing: A Hybrid Concept Analysis. Med Surg Nurs J 2019; 8(2):e90580. [DOI]
8. 8. Fukada M. Nursing Competency: Definition, Structure and Development. Yonago Acta Med 2018; 61(1):1-7. [DOI] [PMID] [PMCID]
9. 9. Rizany I, Hariyati RTS, Handayani H. Factors that affect the development of nurses’ competencies: a systematic review. Enferm Clin 2018; 28(1):154-7. [DOI]
10. 10. Crampton NH, Reis S, Shachak A. Computers in the clinical encounter: a scoping review and thematic analysis. J Am Med Inform Assoc 2016; 23(3):654-65. [DOI] [PMID] [PMCID]
11. 11. Bowles KH, Dykes P, Demiris G. The use of health information technology to improve care and outcomes for older adults. Res Gerontol Nurs 2015; 8(1):5-10. [DOI] [PMID] [PMCID]
12. 12. Singh H, Sittig DF. Measuring and improving patient safety through health information technology: The Health IT Safety Framework. BMJ Qual Saf 2016; 25(4):226-32. [DOI] [PMID] [PMCID]
13. 13. Alotaibi YK, Federico F. The impact of health information technology on patient safety. Saudi Med J 2017; 38(12):1173-80. [DOI] [PMID] [PMCID]
14. 14. Gardner RL, Cooper E, Haskell J, Harris DA, Poplau S, Kroth PJ, et al. Physician stress and burnout: the impact of health information technology. J Am Med Inform Assoc 2019; 26(2):106-14. [DOI] [PMID] [PMCID]
15. 15. Harris DA, Haskell J, Cooper E, Crouse N, Gardner R. Estimating the association between burnout and electronic health record-related stress among advanced practice registered nurses. Appl Nurs Res 2018; 43:36-41. [DOI] [PMID]
16. 16. Almulhem JA, Aldekhyyel RN, Binkheder S, Temsah MH, Jamal A. Stress and Burnout Related to Electronic Health Record Use among Healthcare Providers during the COVID-19 Pandemic in Saudi Arabia: A Preliminary National Randomized Survey. Healthcare (Basel) 2021; 9(10):1367. [DOI] [PMID] [PMCID]
17. 17. Yan Q, Jiang Z, Harbin Z, Tolbert PH, Davies MG. Exploring the relationship between electronic health records and provider burnout: A systematic review. J Am Med Inform Assoc 2021; 28(5):1009-21. [DOI] [PMID] [PMCID]
18. 18. Peltonen LM, Nibber R, Lewis A, Block L, Pruinelli L, Topaz M, et al. Emerging Professionals’ Observations of Opportunities and Challenges in Nursing Informatics. Nurs Leadersh (Tor Ont) 2019; 32(2):8-18. [DOI] [PMID]
19. 19. Yoon S, Yen PY, Bakken S. Psychometric properties of the self-assessment of nursing informatics competencies scale. Stud Health Technol Inform 2009; 146:546-50. [PMID] [PMCID]
20. 20. Choi J, Bakken S. Validation of the self-assessment of nursing informatics competencies scale among undergraduate and graduate nursing students. J Nurs Educ 2013; 52(5):275-82. [DOI] [PMID]
21. 21. Liu M, Yin L, Ma E, Lo S, Zeng L. Competency Inventory for Registered Nurses in Macao: instrument validation. J Adv Nurs 2009; 65(4):893-900. [DOI] [PMID]
22. 22. Ghasemi E, Janani L, Dehghan Nayeri N, Negarandeh R. Psychometric Properties of Persian Version of the Competency Inventory for Registered Nurse (CIRN). Iran J Nurs 2014; (27)87:1-13. [DOI]
23. 23. Meretoja R, Numminen O, Isoaho H, Leino‐Kilpi H. Nurse competence between three generational nurse cohorts: A cross‐sectional study. Int J Nurs Pract 2015; 21(4):350-8. [DOI] [PMID]
24. 24. Numminen O, Leino‐Kilpi H, Isoaho H, Meretoja R. Newly Graduated Nurses' Competence and Individual and Organizational Factors: A Multivariate Analysis. J Nurs Scholarsh 2015; 47(5):446-57. [DOI] [PMID]
25. 25. Wangensteen S, Johansson IS, Björkström ME, Nordström G. Newly graduated nurses' perception of competence and possible predictors: a cross-sectional survey. J Prof Nurs 2012; 28(3):170-81. [DOI] [PMID]
26. 26. Bahreini M, Shahamat S, Hayatdavoudi P, Mirzaei M. Comparison of the clinical competence of nurses working in two university hospitals in Iran. Nurs Health Sci 2011;13(3):282-8. [DOI] [PMID]
27. 27. Bathish M, Wilson C, Potempa K. Deliberate practice and nurse competence. Appl Nurs Res 2018; 40:106-9. [DOI] [PMID]
28. 28. Gunawan J, Aungsuroch Y, Fisher ML, Marzilli C, Liu Y. Factors Related to the Clinical Competence of Registered Nurses: Systematic Review and Meta‐Analysis. J Nurs Scholarsh 2020; 52(6):623-33. [DOI] [PMID]
29. 29. Chang J, Poynton MR, Gassert CA, Staggers N. Nursing informatics competencies required of nurses in Taiwan. Int J Med Inform 2011; 80(5):332-40. [DOI] [PMID]
30. 30. Hübner U, Shaw T, Thye J, Egbert N, Marin H, Ball M. Towards an International Framework for Recommendations of Core Competencies in Nursing and Inter-Professional Informatics: The TIGER Competency Synthesis Project. Stud Health Technol Inform 2016; 228:655-9. [PMID]
31. 31. Booth RG, Strudwick G, McBride S, O’Connor S, López ALS. How the nursing profession should adapt for a digital future. BMJ 2021; 373. [DOI:10.1136/bmj.n1190] [PMCID]

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