Yokotani, Tomoya
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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. 
Nurse Managers’ Perception and Practice on the Theory of Technological Competency as Caring in Nursing: A Preliminary Study Nakano, Yoko; Yokotani, Tomoya; Takashima, Yoshiyuki; Betriana, Feni; Osaka, Kyoko; Kataoka, Mutsuko; Tanioka, Tetsuya; Locsin, Rozzano C
Jurnal Keperawatan Soedirman Vol 18 No 2 (2023): Jurnal Keperawatan Soedirman (JKS)
Publisher : Fakultas Ilmu-ilmu Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jks.2023.18.2.8357

Abstract

In spite of emphasis on patient-centered care and promotion of their quality, shortcomings have been seen in psychiatric care due to lack of compassion. To improve the quality of psychiatric caring in nursing, it is important to develop and implement in-service education based on Locsin’s Technological Competency as Caring in Nursing (TCCN) theory. Objectives to determine psychiatric nurse managers' perception and practice status as a preliminary survey to serve as a resource for in-service psychiatric nursing education. This survey was conducted in August 2022 using the Technological Competency as Caring in Nursing Instrument-Revised for Practice (TCCNI-Repract) scale at "A" psychiatric hospital. Descriptive statistics and Wilcoxon's signed-rank tests were used. Eleven head nurses and assistant head nurses participated in this study. Mean values for the perception dimension of each item of the TCCNI-RePract were high, whereas mean values for practice dimension were low. The results indicated that perception dimension was significantly higher than practice dimension in 21 of 26 items of the TCCNI-RePract. Nurse managers demonstrated a high level of perception of the TCCN theory; however, many practical items scored low. Nurse managers suggested developing a current educational program to inform practice based on the TCCN theory.
The experience of older persons with mental health conditions who interact with healthcare robots and nurse intermediaries: The qualitative case studies Tanioka, Tetsuya; Betriana, Feni; Yokotani, Tomoya; Osaka, Kyoko; Locsin, Rozzano C.; King, Beth; Schoenhofer, Savina
Belitung Nursing Journal Vol. 7 No. 4 (2021): July - August
Publisher : Belitung Raya Foundation, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33546/bnj.1541

Abstract

Background: Caring expressions between humans and nonhuman intelligent machines are futuristic prototypes with healthcare robots as major advocates.  Objective: To examine the experience of older persons with mental health conditions, particularly patients with schizophrenia and with dementia in the interaction with healthcare robots and intermediaries in a transactive relational engagement. Methods: Two qualitative case studies were conducted using sophisticated audio-video technologies to record the conversation and activities that were carefully documented. Following the procedure for qualitative descriptive analysis, a framework based on the Transactive Relationship Theory of Nursing was employed to analyze and interpret the data.  Results: Three themes were revealed, including feelings for the other, inspiring meaningful responses, and demonstrating expressions of joy. The description of the experience of older persons involved in the conversation with humanoid robots was feeling for the other while inspiring meaningful responses in demonstrating expressions of joy.  Conclusion: This study provided initial evidence that the transactive engagements of robots with older persons with schizophrenia and dementia and nurse intermediaries in psychiatric and mental health settings can result in occasions of ‘joy’ for the patients. These findings suggest that transactive engagements with robots facilitate expressions of joy among older persons with schizophrenia and dementia. However, these findings are not intended to prescribe nursing care actions but to describe the experience of older persons who are in transactive engagements with intelligent machines, indicating the importance and value of healthcare robots in nursing older persons with schizophrenia and with dementia.
Perceptions of nurse managers and staff nurses regarding Technological Competency as Caring in Nursing theory in general hospitals in Japan Nakano, Youko; Yokotani, Tomoya; Betriana, Feni; Kawai, Chihiro; Ito, Hirokazu; Yasuhara, Yuko; Tanioka, Tetsuya; Locsin, Rozzano; Miyagawa, Misao
Belitung Nursing Journal Vol. 7 No. 6 (2021): November - December
Publisher : Belitung Raya Foundation, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33546/bnj.1767

Abstract

Background: Nurses as primary healthcare providers demonstrate quality nursing care through competencies with healthcare technologies, while nurse managers assume the primacy of managing quality healthcare in their respective care settings. However, little is known about perceptions of the influence of care technologies on their nursing practice. Objective: This study aimed to determine managers’ and staff nurses’ perceptions regarding the Technological Competency as Caring in Nursing (TCCN) theory in general hospitals in Japan. Methods: This study employed a cross-sectional survey design, with 421 participants selected using a stratified sampling method. Technological Competency as Caring in Nursing Instrument–Revised (TCCNI-R) was used for online data collection using Survey Monkey©. Data were analyzed using Welch’s t-test and ANOVA. Results: Nurses with years of experience within the range of 20 to less than 30 years showed the highest TCCNI-R scores among the two groups. Nurses who had received education on caring in nursing showed significant differences for Factor 2 (Technological Competency as Caring), that of expressing Technological Competency as Caring. Three other factors showed no significant difference, namely in Factor 1 (Nursing Expression as Caring), Factor 3 (Technology and Caring), and Factor 4 (Technological Knowing). However, the average scores of these factors were high, which reflect high professional ethics and occupational discipline and increased awareness of caring in nursing. It was also found that the nurse managers were more aware of the TCCN than were the staff nurses. The nurse managers were also more aware of providing care using technology, recognizing the need-to-know patient needs through technology and providing care to the ever-changing patient’s condition. Conclusion: The study discovered that continuing education is needed regarding the practice of nursing based on theory, enabling appropriate and accurate understanding of practicing knowing persons as caring in nursing.