Schoenhofer, Savina
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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.
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.
Developing a Theoretical Direction for In-Service Education Using Locsin’s TCCN Theory in Psychiatric Nursing Takashima, Yoshiyuki; Soriano, Krishan; Onishi, Kaito; Gil, Soriano; Osaka, Kyoko; Kataoka, Mutsuko; Yasuhara, Yuko; Schoenhofer, Savina; Tanioka, Tetsuya
Celebes Nursing Journal Vol. 2 No. 3 (2025): December 2025
Publisher : MALATA SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70848/cnj.v2i3.64

Abstract

Introduction: There is a pressing need to improve psychiatric nursing services by bridging the gap between technological competency and ethical, compassionate care. Objective: This study aimed to develop and propose a structured in-service education program for psychiatric nurses, grounded in Locsin’s Technological Competency as Caring in Nursing (TCCN) theory. Methods: The program was developed using the Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model. The proposed in-service education program consists of ten structured sessions, which are aligned with Locsin's five assumptions and three nursing processes. The planned evaluation includes participant reports and the use of the Technological Competency as Caring in Psychiatric Nursing Instrument (TCCNPNI), which assesses nurses' perceptions of their technological competency. This instrument allows for pre- and post-evaluations to determine the program's effectiveness. This education plan, rooted in TCCN theory, addresses the unique needs of psychiatric nurses working with vulnerable populations. Results: The anticipated outcomes highlight the potential of technology to enhance patient care quality and dignity in psychiatric settings. As technology becomes more integral to psychiatric nursing practice, nurses must not only develop technical competence but also uphold ethical sensitivity. Conclusion: This program provides a structured approach to achieving these competencies through continuing education.