Soriano, Gil P.
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Psychometric Testing of the Technological Competency as Caring in Nursing Instrument – Revised (English Version Including a Practice Dimension) Yokotani, Tomoya; Tanioka, Tetsuya; Betriana, Feni; Yasuhara, Yuko; Ito, Hirokazu; Soriano, Gil P.; Dino, Michael Joseph; Locsin, Rozzano C
Nurse Media Journal of Nursing Vol 11, No 3 (2021): (December 2021)
Publisher : Department of Nursing, Faculty of Medicine, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/nmjn.v11i3.41409

Abstract

Background: The middle range theory Technological Competency as Caring in Nursing (TCCN) guides nursing practices. The TCCN Instrument (TCCNI) measures perception dimension of the theory and has been revised and translated into the Japanese language (TCCNI-R). Testing the translated version of the TCCNI-R to English language with the inclusion of a practice dimension is warranted.Purpose: This study aims to determine the psychometric properties of the TCCNI-Revised English version with Practice dimension (TCCNI-RePract).Methods: A web-based cross-sectional study was conducted with data from 202 valid questionnaire copies from professional nurses in selected hospitals and nurse educators in universities.   Results: The suitability for factor analysis was determined using Kaiser-Meyer-Olkin index (0.93), Bartlett's sphericity test of 3256.93, p<0.001, the anti-image correlations ranged between 0.87 and 0.96, and an average value of communalities of 0.66. In the four rotations conducted with the maximum likelihood method with a Harris-Kaiser Orthoblique rotation, four items were excluded with factor loadings less than 0.40. These results determined the final scale with 21 items and four subscales, namely: (1) Knowing the person (8 items); (2) Technological competency as Caring (6 items); (3) Technology and caring (4 items); and (4) Expression of nursing as Caring (3 items). Cronbach’s alpha coefficient for the total scale was 0.94. With two dimensions of the TCCNI-RePract, the perception dimension had significantly higher scores than the practice dimension. When comparing mean factor point among the dimensions, the perception scores were significantly higher for Factor 1 and Factor 3.Conclusion:The TCCNI-RePract is an acceptable tool that can reliably measure nurses’ perception and practice of TCCN. It is affirmed that with this tool, measuring perception and practice status of TCCN theory is possible. It is considered that the evaluation results can be used to plan in-hospital education. 
Development of a novel instrument to measure Japanese psychiatric nurses’ technological competency as caring in nursing Takashima, Yoshiyuki; Ito, Hirokazu; Soriano, Gil P.; Yasuhara, Yuko; Osaka, Kyoko; Schoenhofer, Savina; Tanioka, Tetsuya
Belitung Nursing Journal Vol. 11 No. 1 (2025): January - February
Publisher : Belitung Raya Foundation, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33546/bnj.3623

Abstract

Background: To effectively advance person-centered care (PCC) practice, it is important to equip healthcare providers with person-centered values and beliefs while simultaneously transforming their work environment to align with PCC. Thus, instruments to measure caring practice status in nursing competency for psychiatric-specific behavioral limitations, ethico-moral behavior, technology use, and PCC need to be developed. Objective: This study developed the Technological Competency as Caring in Psychiatric Nursing Instrument (TCCNPNI) to measure practice status and test its content and construct validity. Methods: Five different phases were followed: 1) Literature Review; 2) Operational definition of the construct and development of items; 3) Two-round Delphi method; 4) Validity measure; and 5) Reliability measure. The online survey was conducted in 2024. Results: The developed instrument comprises 22 items with a 4-factor structure: competency to practice caring and person-centered care (Factor 1); competency to recognize and respond to ethical issues in psychiatry (Factor 2); competency to utilize technology in psychiatry (Factor 3); and competence to practice care for the preservation of human dignity and shared decision making (Factor 4). Cronbach’s alpha for the entire scale was 0.864, while that for factors 1-4 was 0.911, 0.814, 0.773, and 0.64, respectively. Cumulatively, these four factors contributed 49.6% and explained nearly 50% of the total data. Item-total correlation values were 0.6 or higher among factors 1-3. However, factor 4, for which items were Q30, Q33, Q34, and Q35 (r = 0.03, 0.04, 0.21, 0.11, respectively), were inverted items and had low I-T correlation values. These low correlations suggest that these items capture different concepts. The developed TCCNPNI allows for the measurement of the practice of nursing as caring in psychiatry, the state of ethico-moral behavior, and the practice status of technological competency as caring in psychiatric nursing. Conclusion: This study demonstrated satisfactorily and efficiently evaluated the practice status of technological competency in psychiatric nurses’ caring. Measuring technological competency as caring in psychiatric nursing can be an important adjunct for in-service education in psychiatric hospitals or formalized nursing education in nursing universities.