Subscribe to RSS
DOI: 10.1055/s-0044-1782229
Development and Validation of Information Technology Scale in Nursing
Abstract
Background The implementation of information technology (IT) in patient care is on the rise. The nursing workforce should be prepared for using such technology to support the delivery of patient-centered care. The integration of informatics into nursing practice has been progressing at a slower rate than the development of advancements and in which areas nurses use IT is still not clear.
Objective Our objective was to develop a new instrument to determine the usage of IT in nursing practice.
Methods A methodological study was conducted with factor analyses. A total of 498 registered nurses in a university hospital (n = 374) and primary care centers (n = 124) participated in the study. A questionnaire consisting demographic characteristics and an item pool with 50 statements were used to collect data. The validity and reliability of the instrument were statistically tested by computing the Keiser–Meier–Olkin (KMO) and Bartlett tests, an exploratory factor analysis, descriptive statistics, Cronbach's α, and a confirmatory factor analysis.
Results The instrument extracted eight factors comprising 39 items that explained 55% of the variance: professional autonomy(α = 0.82), data sharing/communication(α = 0.80), data management (α = 0.79), professional development (α = 0.71), administration (α = 0.76), research (α = 0.76), informing (α = 0.68), and classification of interventions (α = 0.75). Total reliability was 0.936. KMO index and a measure of sampling adequacy were high (0.936); the Bartlett test of sphericity was significant (p < 0.005).
Conclusion Study provided the evidence for the factor structure, internal consistency, reliability, and responsiveness of the 39-item “The Information Technology Scale in Nursing.” Further testing of the developed instrument with a larger number of nurses from various backgrounds and different settings is recommended.
Protection of Human and Animal Subjects
The study was approved by the Ethical Committee of Ataturk University on March 4, 2021 (Prot. No.2021/41). Considering the methodological design of the study, which was based on participants' answers, collection of informed consent was required and was obtained.
Implications of Results for Practitioners and/or Consumers
The existing scale is a guide for identifying utilization areas of IT among nurses. The benefits of IT are increasing its prevalence in the world. Indeed, our findings highlight the importance of such technology, which provides access to up-to-date and safe information in both health care in general and the nursing profession specifically. With the findings of our paper, it could be possible for researchers to study this phenomenon with various samples of nurses.
We declare that we received support from The Centre of Individual Research Project in Ataturk University to carry out any financial support or funding for our research.
Authors' Contributions
The study design was done by E.S. and E.Y. E.S. helped in Data collection. E.S. and E.Y also contributed in data analysis, study supervision, manuscript writing and critical revisions for important intellectual content.
Ethical Approval Statement
Informed consent forms of the nurses, permission from the hospital and provincial health department, and ethics committee approval (4.03.2021-2021/41) from the Ethical Committee of Ataturk University Medical Faculty were obtained.
The participants who volunteered to participate in the study were informed about the subject and purpose of the study and their informed consent was obtained.
Publication History
Received: 10 September 2023
Accepted: 01 February 2024
Article published online:
20 March 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Gunda MM. Essentials of Information Technology (Computer, Data, Information and Knowledge). Computer Science, Teacher Education, ICT in Education, ICT in Teachers Education, Information & Communication Technologies In Education ICT&E. 2019: 1
- 2 Kleib M, Chauvette A, Furlong K, Nagle L, Slater L, McCloskey R. Approaches for defining and assessing nursing informatics competencies: a scoping review. JBI Evid Synth 2021; 19 (04) 794-841
- 3 Cummins MR, Gundlapalli AV, Murray P, Park HA, Lehmann CU. Nursing informatics certification worldwide: history, pathway, roles, and motivation. Yearb Med Inform 2016; (01) 264-271
- 4 Honey ML, Skiba DJ, Procter P, Foster J, Kouri P, Nagle LM. Nursing informatics competencies for entry to practice: the perspective of six countries. Stud Health Technol Inform 2017; 232: 51-61
- 5 Hübner U, Shaw T, Thye J. et al. Technology informatics guiding education reform—TIGER. Methods Inf Med 2018; 57 (S 01): e30-e42
- 6 Belchez C. Integrating nursing informatics competencies in the nursing education curriculum. 2016. [Presentation] Kansas City, KS: University of Kansas School of Nursing;
- 7 Levy S. Commentary: assessing nurses' informatics competency and identifying its related factors. J Res Nurs 2019; 24 (07) 539-540
- 8 Rahman AA. Development of a Nursing Informatics Competency Assessment Tool (NICAT). 2015. Walden Dissertations and Doctoral Studies;
- 9 Abdrbo AA. Nursing informatics competencies among nursing students and their relationship to patient safety competencies: knowledge, attitude, and skills. Comput Inform Nurs 2015; 33 (11) 509-514
- 10 Yoon S, Shaffer JA, Bakken S. Refining a self-assessment of informatics competency scale using Mokken scaling analysis. J Interprof Care 2015; 29 (06) 579-586
- 11 Zamarripa-Zoucha A. Evaluation of Nursing Student's Informatics Competency Using an Adapted Self-Assessment of Nursing Informatics Competency Scale (SANICS) tool. Collage of Nursing Undergraduate Research Theses and Honors Research Theses. 2015. Columbus, OH: The Ohio State University;
- 12 de Veer AJ, Francke AL. Attitudes of nursing staff towards electronic patient records: a questionnaire survey. Int J Nurs Stud 2010; 47 (07) 846-854
- 13 Jamshidi L, Mehrdad AG, Jamshidi S. Assessing nursing students' knowledge and attitudes about computers and the internet. Procedia Soc Behav Sci 2012; 46: 1371-1374
- 14 Farzandipour M, Mohamadian H, Akbari H, Safari S, Sharif R. Designing a national model for assessment of nursing informatics competency. BMC Med Inform Decis Mak 2021; 21 (01) 35
- 15 Kassam I, Nagle L, Strudwick G. Informatics competencies for nurse leaders: protocol for a scoping review. BMJ Open 2017; 7 (12) e018855
- 16 Choi J, De Martinis JE. Nursing informatics competencies: assessment of undergraduate and graduate nursing students. J Clin Nurs 2013; 22 (13-14): 1970-1976
- 17 Egbert N, Thye J, Schulte G. et al. An iterative methodology for developing national recommendations for nursing informatics curricula. Stud Health Technol Inform 2016; 228: 660-664
- 18 Belchez CA. Informatics and Faculty Intraprofessional Assessment and Gap Analysis of Current Integration of Informatics Competencies in a Baccalaureate Nursing Program. University of Kansas School of Nursing. 2019. . The DNP Project. Lawrence, KS: The University of Kansas;
- 19 Bryant LE, Whitehead DK, Kleier JA. Development and testing of an instrument to measure informatics knowledge, skills and attitudes among undergraduate nursing students. Online J Nurs Inform 2016;20(02):
- 20 Faustorilla JF. Initiating developments of nursing informatics within a caring perspective for Philippine nursing. J Health Caring Sci 2020; 2 (01) 78-89
- 21 Verma MP, Gupta S. Competency in informatics for nursing professional in India: imbibing the tech-culture among nursing professionals. Int J Nurs Educ 2019; 11 (01) 67-73
- 22 Sahin AO, Nar MY, Yutmez TP, Cam ÇY. Nursing students attitudes to computer use in healthcare. Turk Clin J Surg Nurs Special Topics 2016; 2 (01) 91-96
- 23 Gunbatar MS. The study on development of information and communication technology attitude scale. Ahi Evran Univ Kirsehir Educ Faculty J 2014; 15 (01) 121-135
- 24 Borycki EM, Cummings E, Kushniruk AW, Saranto K. Integrating health information technology safety into nursing informatics competencies. Stud Health Technol Inform 2017; 232: 222-228
- 25 Turhan K, Kose A. 2010 The opinions of nurses about nursing information systems: a study is about Trabzon. Paper presented at: TURKMIA'10 Proceedings VII. National Medical Informatics Congress, Turkey
- 26 Zayim N, Ozel D. Factors affecting nursing students' readiness and perceptions toward the use of mobile technologies for learning. Comput Inform Nurs 2015; 33 (10) 456-464
- 27 Tuncay A, Demir M. 2012; The use of electronic patient registration system in nursing- private hospital example. Acibadem Nurs e-J (52) . Accessed March 15, 2022 at: www.acibademhemsirelik.com/edergi/52/…/bilimsel-calismalar2-52.pdf 1-3
- 28 Teke D, Sozbilir M. Developing a scale for self-efficacy of teacher training students in inclusive education environments. Eur J Teach Educ 2021; 2 (01) 55-68
- 29 Aravamudhan NR, Krishnaveni R. Establishing and reporting content validity evidence of new training and development capacity building scale (TDCBS). J Contemporary Management 2015; 20 (01) 131-158
- 30 Ozdamar K. Scale and test development structural equation modeling in education, health and behavioral sciences: IBM SPSS, INM SPSS AMOS and MINITAB applied. 2016
- 31 Jang SM, Kim J. Development of nursing informatics competence scale for Korean clinical nurses. Comput Inform Nurs 2022; 40 (10) 725-733
- 32 Mokkink LB, Terwee CB, Patrick DL. et al. The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. J Clin Epidemiol 2010; 63 (07) 737-745
- 33 Hunter KM, McGonigle DM, Hebda TL. TIGER-based measurement of nursing informatics competencies: the development and implementation of an online tool for self-assessment. J Nurs Educ Pract 2013; 3 (12) 70-80
- 34 Thorn CA, Glover R, Watson JG. Information technology considerations. Washington, DC: Center for Educator Compensation Reform, U.S. Department of Education, Office of Elementary and Secondary Education; 2009
- 35 Chaudhry B, Wang J, Wu S. et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006; 144 (10) 742-752
- 36 Kose A. An empirical study for specifying computer use levels of the nurses—the case of Trabzon. J Inf Technol 2012; 5 (01) 37-43
- 37 Tatli Z, Aydin A, Simsek P. et al. The use of information technologies by nurses and nursing students. Ordu Univ J Nurs Stud 2018; 1 (01) 18-27
- 38 Jokiniemi K, Pietilä AM, Kylmä J, Haatainen K. Advanced nursing roles: a systematic review. Nurs Health Sci 2012; 14 (03) 421-431
- 39 Lee TT, Lee TY, Lin KC, Chang PC. Factors affecting the use of nursing information systems in Taiwan. J Adv Nurs 2005; 50 (02) 170-178
- 40 Eley R, Soar J, Buikstra E, Fallon T, Hegney D. Attitudes of Australian nurses to information technology in the workplace: a national survey. Comput Inform Nurs 2009; 27 (02) 114-121
- 41 Barden C, Davis TM. The tele-ICU: a new frontier in critical care nursing practice. AACN Adv Crit Care 2012; 23 (03) 287-288
- 42 Xing W, Ao L, Xiao H, Cheng L, Liang Y, Wang J. Nurses' Attitudes toward, and needs for online learning: differences between rural and urban hospitals in Shanghai, East China. Int J Environ Res Public Health 2018; 15 (07) 1495
- 43 Akyol MA, Soylemez Akpinar B, Ozgul E, Kucukguclu O. Nursing Informatics competencies and related factors of nurses working in internal medicine and surgical units of a University Hospital. Balikesir Health Sciences Journal/BAUN. Health Sci J 2022; 11 (02) 188-195