Development and psychometric testing of the Professional Interpersonal Competency Assessment Scale for Novice nurses (PICASN).

Background: Assessing the professional interpersonal competency of novice nurses is crucial for preventing staff turnover and promoting effective work. However, none of the instruments identified in the literature specifically target novice nurses. Objective: This study aimed to develop and psychometrically test the perception dimension of the Professional Interpersonal Competency Assessment Scale for Novice nurses (PICASN) in Japan. Methods: The study comprised four steps: 1) concept identification, 2) item construction, 3) validity measure, and 4) reliability measure. A cross-sectional web-based questionnaire was administered from February to April 2023 and was completed by 203 novice nurses. Data quality was assessed using mean, item response, missing values, floor and ceiling effects, internal consistency, and item-rest correlations. Content validity index (CVI) was used to determine the instrument's validity, while exploratory factor analysis (EFA) using maximum likelihood estimation with Promax rotation was employed to assess the factor structure. Cronbach's alpha was used to evaluate reliability. Results: The 27-item PICASN demonstrated an Item-CVI of 0.94 and a Scale-CVI of 0.88. EFA revealed two factors: 1) Basic competencies as a novice nurse (15 items) and 2) Relationship building skills within the healthcare team (12 items), which explained 80% of the variance. Internal consistency reliability was excellent at 0.94 and 0.91 for the factors, and the overall scale reliability was 0.95. The item-rest (I-R) correlation values exceeding 0.6 were considered acceptable. Conclusion: The PICASN demonstrates satisfactory psychometric properties, making it an effective tool for measuring professional interpersonal competency among novice nurses in Japan. This instrument serves to assist novice nurses by promoting self-awareness and offering targeted insights into specific areas requiring improvement. Additionally, it provides experienced nurses and nurse managers with valuable insights into team dynamics, guiding interventions for continuous quality improvement.

Technologies, Physician's Caring Competency, and Patient Centered Care:A Systematic Review.

This study aimed to conduct a systematic review to clarify patient understanding, understanding of caring concepts, understanding of technology, competency to express compassion, appropriate involvement in caring, and ethical and moral attitudes and responses toward patients. This systematic review was conducted through an electronic search across PubMed, Google Scholar, MEDLINE, and Science Direct. Authors independently appraised the methodological quality of the studies using the Mixed Method Appraisal Tool. A narrative synthesis approach was used to present these findings. Nine studies met the inclusion criteria and quality appraisal guidelines. Through thematic analysis, four major themes were identified:Technology and caring competency, Technology and patient-centered care, Empathetic skills, and Caring competency. This review has shown that patients choose physicians considering their emotions and communicate well with them, empowering them to take responsibility of their own or their loved ones' healthcare. In the age of technological advancement and availability of vast sources of information, it is expected of physicians to adapt to these character priorities while maintaining their sense of humanness, not only focusing on healing modalities, but also to guide, educate, and appropriately empower their patients toward achieving their healthcare goals. J. Med. Invest. 70 : 307-316, August, 2023.

Development and psychometric properties of the Person-centered Palliative Care Nursing Instrument (PPCNI) in the Philippines.

Background: Over the years, a few tools and instruments have been developed to assist in the assessment within a palliative care setting. However, many of these tools and instruments do not reflect a person-centered palliative care model. Objective: This study aims to develop a Person-centered Palliative Care Nursing Instrument (PPCNI) in the Philippines. Methods: An exhaustive search of the literature was conducted to develop a pool of items for the instrument. The validity of the instrument was evaluated using the content validity index (CVI), while the factor structure was assessed using exploratory factor analysis (EFA) using maximum likelihood estimation with Promax rotation. Also, the internal reliability was evaluated using Cronbach's alpha. Results: EFA yielded three factors: 1) Caring as maintaining person's dignity (13 items), 2) caring as empowerment of person's autonomy (14 items), and 3) caring as understanding person's momentary concerns (10 items). Whereas the internal consistency reliability of these subscales appeared excellent (i.e., 0.95, 0.96, and 0.93, respectively), the Cronbach's alpha for the overall scale was 0.98. The item-total correlation coefficients were >0.30 for all items, ranging from 0.310 to 0.726. Conclusion: Findings support a three-factor, 37-item PPCNI that can be used in clinical practice to ensure that nurses provide palliative care based on patient needs and preferences.

The roles and competencies of welfare commissioners supporting children with developmental disorders and their families expected by Japan's public health nurses.

Background: Public Health Nurses (PHNs) collaborate with community volunteer welfare commissioners to support children with developmental disorders and their families lead a life without isolation. Objective: This study aims to clarify the roles and competencies that PHNs expect of welfare commissioners in supporting children with developmental disorders and their families. Methods: An online survey was administered through Survey Monkey© to 220 PHNs working in Japanese municipalities using an independently developed questionnaire regarding the roles and competencies of welfare commissioners supporting children with developmental disorders and their families expected by PHNs. Exploratory Factor Analysis (EFA) was performed to simplify the data structure and enhance understanding. The reliability of the scale was confirmed using Cronbach's α. Differences due to PHN attributes (e.g., experience collaborating with welfare commissioners) were analyzed using Welch's t-test. This study was conducted between April and September 2021. Results: The highest scoring items were, for the role, "a welfare commissioner's role is to pass on accurate information to their successor," and for competencies, "a necessary competency for a welfare commissioner is to protect the information about children with developmental disorders, and their families learned during one's work." The EFA results revealed a two-factor structure for role items: Factor 1, "Supporting children with developmental disorders and their families and preventing abuse," and Factor 2, "Connecting to social resources." Competency items were also found to have a two-factor structure: Factor 1, "Understanding the position of children with developmental disorders and their families and connecting with local residents," and Factor 2, "Understanding developmental disorders and supporting them based on assessment." A comparison of the attributes of PHNs showed no significant differences. Conclusion: PHNs feel welfare commissioners should pass on the information and protect confidentiality when supporting children with developmental disorders and their families. Furthermore, PHNs expect welfare commissioners to connect children with developmental disorders and their families to the community, prevent abuse, and provide support based on assessment. PHNs had the same expectations regarding the roles and competencies of welfare commissioners regardless of their own attributes.

Examining Factors Associated with Dynapenia/Sarcopenia in Patients with Schizophrenia: A Pilot Case-Control Study.

Sedentary behavior in patients with schizophrenia causes muscle weakness, is associated with a higher risk of metabolic syndrome, and contributes to mortality risk. This pilot case-control study aims to examine the associated factors for dynapenia/sarcopenia in patients with schizophrenia. The participants were 30 healthy individuals (healthy group) and 30 patients with schizophrenia (patient group), who were matched for age and sex. Descriptive statistics, Welch's t-test, cross-tabulations, adjusted residuals, Fisher's exact probability test (extended), and/or odds ratios (ORs) were calculated. In this study, dynapenia was significantly more prevalent in patients with schizophrenia than in healthy individuals. Regarding body water, Pearson's chi-square value was 4.41 (p = 0.04), and significantly more patients with dynapenia were below the normal range. In particular, body water and dynapenia showed a significant association, with an OR = 3.42 and 95% confidence interval [1.06, 11.09]. Notably, compared with participants of the healthy group, patients with schizophrenia were overweight, had less body water, and were at a higher risk for dynapenia. The impedance method and the digital grip dynamometer used in this study were simple and useful tools for evaluating muscle quality. To improve health conditions for patients with schizophrenia, additional attention should be paid to muscle weakness, nutritional status, and physical rehabilitation.

Psychometric Properties of Grief Traits and State Scale for Nurses to Measure Levels of Grief.

Frequent exposure to patient deaths prompts nurses to experience grief. Unresolved grief leads to harmful consequences of nurses' mental health and quality of nursing care. A cross-sectional study using an online survey was conducted to determine the psychometric properties of the Grief traits and State Scale for Nurses. Exploratory factor analysis revealed two factors measuring the level of nurses' grief traits (Cronbach's alpha: 0.84) and two factors in grief state (Cronbach's alpha: 0.86). Nurses' feelings of unable to provide good care were associated with a higher risk of grief (odds ratio (OR): 4.30, 95% confidence interval (CI): 1.45-12.75), uncomfortable feeling toward deaths (OR: 11.29, 95%CI: 1.48-85.91), and emotional exhaustion (OR: 7.12, 95%CI: 1.63-30.99). Results indicated that the scale was reliable in determining the levels of their grief. Nurse managers can use the scale to identify their nurses' levels of grief, creating opportunities to influence the resolution of the grief experiences.

Effects of Healthcare Technologies on the Promotion of Physical Activities in Older Persons: A Systematic Review.

This study aimed to explore the effects of health technologies on the promotion of health through physical activities of older persons. Following PRISMA guidelines, a systematic review of relevant articles published prior to 2020 was conducted from selected indices such as COCHRANE, PubMed, Science Direct, Proquest, including the use of hand search procedure. Twenty-seven articles were analyzed with significant findings influential to older people nursing: types of health technologies used for promoting physical activity; effects of technology use in promoting physical activity of older person care; and aspects that need to be considered in technology use among older persons. Characteristics of technologies were accuracy, usefulness, reliability, comfort, safety, and relevancy. Most technologies promoting physical activities for older people were wearable technologies that use artificial intelligence. Altogether, these technologies influenced overall healthcare behaviors of older persons. With healthcare technology efficiencies, proficiencies, and dependencies, technology-based healthcare have served older people well. Most technologies for older people care, such as wearables, reliably produce characteristics enhancing dependency and accuracy of bio-behavioral information influencing physical activities of older persons. Health technologies foster the values of physical activities among older persons thereby promoting healthy living.

Comparison of Subjective Facial Emotion Recognition and "Facial Emotion Recognition Based on Multi-Task Cascaded Convolutional Network Face Detection" between Patients with Schizophrenia and Healthy Participants.

Patients with schizophrenia may exhibit a flat affect and poor facial expressions. This study aimed to compare subjective facial emotion recognition (FER) and FER based on multi-task cascaded convolutional network (MTCNN) face detection in 31 patients with schizophrenia (patient group) and 40 healthy participants (healthy participant group). A Pepper Robot was used to converse with the 71 aforementioned participants; these conversations were recorded on video. Subjective FER (assigned by medical experts based on video recordings) and FER based on MTCNN face detection was used to understand facial expressions during conversations. This study confirmed the discriminant accuracy of the FER based on MTCNN face detection. The analysis of the smiles of healthy participants revealed that the kappa coefficients of subjective FER (by six examiners) and FER based on MTCNN face detection concurred (κ = 0.63). The perfect agreement rate between the subjective FER (by three medical experts) and FER based on MTCNN face detection in the patient, and healthy participant groups were analyzed using Fisher's exact probability test where no significant difference was observed (p = 0.72). The validity and reliability were assessed by comparing the subjective FER and FER based on MTCNN face detection. The reliability coefficient of FER based on MTCNN face detection was low for both the patient and healthy participant groups.

Robots and Robotics in Nursing.

Technological advancements have led to the use of robots as prospective partners to complement understaffing and deliver effective care to patients. This article discusses relevant concepts on robots from the perspective of nursing theories and robotics in nursing and examines the distinctions between human beings and healthcare robots as partners and robot development examples and challenges. Robotics in nursing is an interdisciplinary discipline that studies methodologies, technologies, and ethics for developing robots that support and collaborate with physicians, nurses, and other healthcare workers in practice. Robotics in nursing is geared toward learning the knowledge of robots for better nursing care, and for this purpose, it is also to propose the necessary robots and develop them in collaboration with engineers. Two points were highlighted regarding the use of robots in health care practice: issues of replacing humans because of human resource understaffing and concerns about robot capabilities to engage in nursing practice grounded in caring science. This article stresses that technology and artificial intelligence are useful and practical for patients. However, further research is required that considers what robotics in nursing means and the use of robotics in nursing.

Remote-Controlled Drone System through Eye Movements of Patients Who Need Long-Term Care: An Intermediary's Role.

The use of a remote-controlled drone system (RDS) by eye movements was studied to assist patients in psychiatric long-term care (PLTC) to allow them to view the environment outside the hospital, hoping that this will bring them some enjoyment. However, successfully applying this system requires human intermediaries in facilitating the interactions between patients and RDS operators. The aim of the study was to describe the role of nurses as intermediaries in the application of an RDS through eye movements of patients PLTC. This study employed the Intentional Observational Clinical Research Design. Data collection was performed in November 2021 at a psychiatric hospital with selected patients in PLTC. Seventeen patients took part in the indoor experiment, whereas 23 patients took part in the outdoor experiment. Fifteen of the 23 patients in the outdoor experiment were the same patients who took part in the indoor experiment. Most of the patients in the indoor and outdoor test arenas could successfully, delightfully, and safely fly the drone. This study demonstrated that RDS using just eye movements could increase the quality of life in older patients with psychiatric problems in PLTC. For the successful use of this drone system, nurse intermediaries assumed critically significant roles.

Investigation of Methods to Create Future Multimodal Emotional Data for Robot Interactions in Patients with Schizophrenia: A Case Study.

Rapid progress in humanoid robot investigations offers possibilities for improving the competencies of people with social disorders, although this improvement of humanoid robots remains unexplored for schizophrenic people. Methods for creating future multimodal emotional data for robot interactions were studied in this case study of a 40-year-old male patient with disorganized schizophrenia without comorbidities. The qualitative data included heart rate variability (HRV), video-audio recordings, and field notes. HRV, Haar cascade classifier (HCC), and Empath API© were evaluated during conversations between the patient and robot. Two expert nurses and one psychiatrist evaluated facial expressions. The research hypothesis questioned whether HRV, HCC, and Empath API© are useful for creating future multimodal emotional data about robot-patient interactions. The HRV analysis showed persistent sympathetic dominance, matching the human-robot conversational situation. The result of HCC was in agreement with that of human observation, in the case of rough consensus. In the case of observed results disagreed upon by experts, the HCC result was also different. However, emotional assessments by experts using Empath API© were also found to be inconsistent. We believe that with further investigation, a clearer identification of methods for multimodal emotional data for robot interactions can be achieved for patients with schizophrenia.

Usefulness of 2D Video Analysis for Evaluation of Shoulder Range of Motion during Upper Limb Exercise in Patients with Psychiatric Disorders.

Aging and its associated problems related to movement impacts the care of people with psychiatric disorders. This study sought to clarify the usefulness of 2D video analysis for evaluating shoulder range of motion (ROM) during upper limb exercises in patients with psychiatric disorders. Subjects (N=54) were patients with psychiatric disorders categorized as the following:having either a high or low activities of daily living (ADL) score using the Barthel Index;experiencing shoulder ROM limitation, and whether or not compensatory movements were exhibited. Compensatory movement was also considered in patients with Parkinsonism, cerebrovascular disease, and cognitive dysfunction. Shoulder joint ROM was measured using a goniometer and active ROM was captured using ImageJ. No significant difference between passive ROM measured by a goniometer and active ROM measured by ImageJ considering disease groups, ADL level, and shoulder ROM limitation was found. Factoring in compensatory movements, however, significant differences were found between passive and active ROM:existence compensatory movement group, left side (z=-2.30, p=0.02);nonexistence compensatory movement group, right side (z=-2.63, p<0.001). Image-evaluating devices help assess ROM in patients with psychiatric disorders, enhancing the development of physical rehabilitation programs to regain critical ADL, sustaining self-care capabilities. J. Med. Invest. 69 : 70-79, February, 2022.

Characteristics of interactive communication between Pepper robot, patients with schizophrenia, and healthy persons.

Background: Expressing enjoyment when conversing with healthcare robots is an opportunity to enhance the value of human robots with interactive capabilities. In clinical practice, it is common to find verbal dysfunctions in patients with schizophrenia. Thus, interactive communication characteristics may vary between Pepper robot, persons with schizophrenia, and healthy persons. Objective: Two case studies aimed to describe the characteristics of interactive communications, 1) between Pepper as a healthcare robot and two patients with schizophrenia, and 2) between Pepper as a healthcare robot and two healthy persons. Case Report: The "Intentional Observational Clinical Research Design" was used to collect data. Using audio-video technology, the conversational interactions between the four participants with the Pepper healthcare robot were recorded. Their interactions were observed, with significant events noted. After their interactions, the four participants were interviewed regarding their experience and impressions of interacting with the Pepper healthcare robot. Audio-video recordings were analyzed following the analysis and interpretation protocol, and the interview data were transcribed, analyzed, and interpreted. Discussion: There were similarities and differences in the interactive communication characteristics between the Pepper robot and the two participants with schizophrenia and between Pepper and the two healthy participants. The similarities were experiences of human enjoyment while interacting with the Pepper robot. This enjoyment was enhanced with the expectancy of the Pepper robot as able to entertain, and possessing interactive capabilities, indicating two-way conversational abilities. However, different communicating characteristics were found between the healthy participants' impressions of the Pepper robot and the participants with schizophrenia. Healthy participants understood Pepper to be an automaton, with responses to questions often constrained and, on many occasions, displaying inaccurate gaze. Conclusion: Pepper robot showed capabilities for effective communication pertaining to expressing enjoyment. The accuracy and appropriateness of gaze remained a critical characteristic regardless of the situation or occasion with interactions between persons with schizophrenia, and between healthy persons. It is important to consider that in the future, for effective use of healthcare robots with multiple users, improvements in the areas of the appropriateness of gaze, response time during the conversation, and entertaining functions are critically observed.

Balance of Autonomic Nervous Activity, Exercise, and Sleep Status in Older Adults: A Review of the Literature.

While older people are frequently known to experience sleep disturbances, there are also many older people who have a good quality of sleep. However, little is known about the balance of autonomic nervous activity, exercise habits, and sleep status in healthy older adults. This study reviews the literature regarding balance of the autonomic nervous activity, exercise, and sleep in healthy older adults. Relevant articles were searched from electronic databases using the combination of the following keywords: "Autonomic nervous activity", "sleep status", "sleep", "healthy older adults", "aging", "heart rate variability (HRV)" and "exercise". Articles were included if they met inclusion criteria: (1) Published in English, (2) Article types: research and review articles, (3) Main outcome was related to the autonomic nervous activity, lifestyle, sleep, and/or healthy aging, and (4) Fully accessed. From 877 articles that were identified, 16 articles were included for review. Results showed that the autonomic nervous activity changes with increasing age, particularly a constant decline in cardiac vagal modulation due to the significant decrease in the nocturnal parasympathetic activity. In addition, the autonomic nervous activity was also related to sleep status and lifestyle, particularly the capability to exercise. In preparing older people toward a healthy aging, maintaining good sleep quality and exercise is suggested.

Nurses' Awareness and Actual Nursing Practice Situation of Stroke Care in Acute Stroke Units: A Japanese Cross-Sectional Web-Based Questionnaire Survey.

The awareness of care provided by stroke care unit (SCU) nurses in Japan to patients with an acute cerebrovascular accident (CVA) and the characteristic differences in their actual nursing practice were evaluated. A cross-sectional web-based questionnaire survey was administered to 1040 SCU nurses. Data collection and reporting procedures followed the STROBE Statement Checklist for cross-sectional studies. Exploratory factor analysis, using 52 observation items, identified eight factors with a factor loading > 0.4. For all factors, the actual practice was significantly lower than the awareness of the importance of nursing care for patients with acute CVA. Awareness and actual practice of recognition of patients' physical changes (RPPCs) were high. The actual practice of RPPCs and preventing the worsening of acute stroke and related symptoms varied, depending on years of experience in acute phase stroke care. RPPCs in actual practice had a significantly higher score among certified nurses or certified nurse specialists. Their awareness of the importance of collaborating with therapists was low. On-the-job training can improve nurses' competence and prevent worsening conditions in patients with CVA. An emphasis on enhancing practice experience toward patients with acute CVA and facilitating the deployment of certified nurses in SCUs can improve nursing care practice.

Intentional Observational Clinical Research Design: Innovative Design for Complex Clinical Research Using Advanced Technology.

The growing use of robots in nursing and healthcare facilities has prompted increasing research on human-robot interactions. However, specific research designs that can guide researchers to conduct rigorous investigations on human-robot interactions are limited. This paper aims to discuss the development and application of a new research design-the Intentional Observational Clinical Research Design (IOCRD). Data sources to develop the IOCRD were derived from surveyed literature of the past decade, focusing on clinical nursing research and theories relating robotics to nursing and healthcare practice. The distinction between IOCRD and other research design is the simultaneous data generation collected using advanced technological devices, for example, the wireless Bonaly-light electrocardiogram (ECG) to track heart rate variability of research subjects, robot application programs on the iPad mini to control robot speech and gestures, and Natural Language Processing programs. Even though IOCRD was developed for human-robot research, there remain vast opportunities for its use in nursing practice and healthcare. With the unique feature of simultaneous data generation and analysis, an interdisciplinary collaborative research team is strongly suggested. The IOCRD is expected to contribute guidance for researchers in conducting clinical research related to robotics in nursing and healthcare.

Aesthetic expression of caring in nursing among Japanese undergraduate nursing students.

BACKGROUND: Caring is the heart of nursing. However, not many understand the significance of caring in nursing from the perspectives of undergraduate nursing students, especially in Japan. AIM: To describe caring in nursing among Japanese nursing students as learned and communicated through their aesthetic expressions. METHODS: The study employed hermeneutic phenomenology. Sixty-one Japanese nursing students in their second year of baccalaureate degree studies participated. Constituting the data were art-based graphic expressions, such as drawings and written reflections on the drawings, as a response to the question of how the participants describe their meanings of caring in nursing. The thematic analysis method was used to analyze and interpret the data. The trustworthiness of the research was established following Lincoln and Guba's criteria. FINDINGS: Seven thematic categories were identified. These categories include (1) Engaging with others; (2) Knowing each other; (3) Being with other persons; (4) Nurturing intimate personal growth; (5) Supporting wholeness of persons; (6) Vacillating rhythm; and (7) Intensifying competency. CONCLUSION: This study described the understanding of caring in nursing among undergraduate Japanese nursing students during their second year of study. The caring in nursing focused on reciprocal relationships, whole-person relating, and practice competency. Findings suggested that nurse educators should develop teaching-learning strategies for nursing students to continuously grow as caring persons.

Usefulness of Near-Infrared Spectroscopy (NIRS) for evaluating drug effects and improvements in medication adherence in children with Attention Deficit Hyperactivity Disorder (ADHD).

The symptoms of attention deficit hyperactivity disorder (ADHD) are inattention, hyperactivity, and impulsiveness. Physicians often prescribe methylphenidate (MPH) for children with ADHD for long periods of time. The purpose of the present study was to investigate the usefulness of near-infrared spectroscopy (NIRS) for evaluating drug effects and improvements in medication adherence in children with ADHD. Subjects were 10 male children diagnosed with ADHD : average age, 9.3 years, and 10 boys with typical development : average age 9.5 years. Children with intellectual disability, autism, and obvious depressive symptoms were excluded. The present study revealed that in the ADHD group, oxy-Hb concentrations in the left and right lateral prefrontal cortex significantly increased during the execution of the Stroop color-word test in both channels when taking MPH. This method was considered to be useful for assessing drug effects on ADHD because NIRS is an objective indicator for evaluating ADHD executive dysfunction and visualizes the activation of frontal lobe function by MPH. A pediatric neurologist explained the results of NIRS while presenting images to the ADHD group, and medication adherence and the drug-taking ratio both markedly improved. Therefore, this therapeutic explanation is an effective strategy for improving medication compliance and adherence among patients. J. Med. Invest. 68 : 53--58, February, 2021.

Development Issues of Healthcare Robots: Compassionate Communication for Older Adults with Dementia.

Although progress is being made in affective computing, issues remain in enabling the effective expression of compassionate communication by healthcare robots. Identifying, describing and reconciling these concerns are important in order to provide quality contemporary healthcare for older adults with dementia. The purpose of this case study was to explore the development issues of healthcare robots in expressing compassionate communication for older adults with dementia. An exploratory descriptive case study was conducted with the Pepper robot and older adults with dementia using high-tech digital cameras to document significant communication proceedings that occurred during the activities. Data were collected in December 2020. The application program for an intentional conversation using Pepper was jointly developed by Tanioka's team and the Xing Company, allowing Pepper's words and head movements to be remotely controlled. The analysis of the results revealed four development issues, namely, (1) accurate sensing behavior for "listening" to voices appropriately and accurately interacting with subjects; (2) inefficiency in "listening" and "gaze" activities; (3) fidelity of behavioral responses; and (4) deficiency in natural language processing AI development, i.e., the ability to respond actively to situations that were not pre-programmed by the developer. Conversational engagements between the Pepper robot and patients with dementia illustrated a practical usage of technologies with artificial intelligence and natural language processing. The development issues found in this study require reconciliation in order to enhance the potential for healthcare robot engagement in compassionate communication in the care of older adults with dementia.

Interactions between healthcare robots and older people in Japan: A qualitative descriptive analysis study.

AIM: This study aimed to describe the interactions between healthcare robots and older persons in two selected institutions. METHODS: A qualitative descriptive analysis study using simultaneous observations of healthcare robot and older person interactions was conducted at two healthcare institutions in Japan. The Pepper robot equipped with Care Prevention Gymnastics Exercise programs was used in two situations: (a) exercise regimen led by Pepper; and (b) interactive dialogue between Pepper and older persons during the exercise process. These interactions were recorded using audiovisual equipment and analyzed using content analysis thereby revealing four thematic categories. Interpretation and discussion were structured based on assumptions of the Transactive Relationship Theory of Nursing. RESULTS: The analysis revealed four thematic categories: (a) intermediary participation of healthcare practitioners; (b) technologies of care for practice; (c) human-robot interactions involving artificial intelligence; and (d) valuing safety in nursing through technology. CONCLUSION: Interactions between healthcare robots and older persons may improve quality of care. However, issues regarding fidelity and functionality of dialogic conversations, and ensuring safety and security of using healthcare robots are recognized as critical nursing practice concerns in healthcare robot use in institutional settings.