Journal of Holistic Nursing Science

Artificial Intelligence versus nurses: A new challenge in caring human being

Estrin Handayani — 2024-01-09

Artificial Intelligence (AI) has the potential to significantly impact the field of healthcare, including the role of nurses in hospitals or other settings. A quiet revolution in nursing care is underway as AI quietly takes its place beside dedicated healthcare professionals in the bustling corridors of modern care. In this era of technological advancement, AI is finding a meaningful role in transforming the landscape of patient care, the role of nurses, and the heartbeat of any hospital. AI algorithms, silently at work in the background, analyze patient records, historical data, and vitals, presenting a comprehensive snapshot of each patient's health status. This digital development empowers nurses with predictive insights, highlighting potential risks and enabling a proactive approach to patient-centered care. In the realm of diagnostics, AI showcases its prowess. Nurses, supported by intelligent algorithms, receive nuanced analyses of diagnostic tests, allowing for more precise interpretations of clinical findings. Using AI will lift the burden of manual data interpretation, giving nurses more time to focus on critical thinking and compassionate care.

Keywords: Artificial Intelligence; nursing care; nursing improvement; quality of life; clinical nursing practice

Patient in health scale validation and self-management among Omani patients with mental health problems

Khaldoun M. Aldiabat — 2024-01-04

The literature contains insufficient data relating to different approaches used by adults for managing their mental disorders, particularly in Oman. Most of the studies have been conducted in Western parts of the world, focusing on managing physical chronic illnesses. Therefore, this study aimed to assess adult Omani mentally ill patients' self-management behavior and to evaluate the validity and reliability of the Arabic version of the Partners in Health (PIH) Scale. Quantitative data were collected from 246 eligible adult participants who were diagnosed with different mental health illnesses from Oman's largest psychiatric and mental health hospital- Al Masarra Hospital. Data were collected using 12 items on the Arabic-translated PIH scale. While descriptive data analysis was used for quantitative data, content validity, and Cronbach's alpha coefficient were used to measure the validity and reliability of the PIH scale, respectively. Results showed that the Arabic version of PIH is valid (I-CVI was greater than 0.79 for all items, and S-CVI was found to be higher than 0.80) and reliable (0.92); Omani mentally ill patients have moderate self-management behavior in general, but specifically, they showed a lower level of knowledge and recognition of the symptoms and management of their mental illness. However, they also showed a moderate adherence to treatment and coping with the disease. It is concluded that the Arabic valid and reliable PIH can be used to measure self-management behavior among the mentally ill Arab population. Healthcare providers in Oman are recommended to integrate health literacy, self-management assessment, and education in their clinical care.

Keywords: Partners in health; mental health; self-management; mental illness; instrumentation testing

A preliminary study of ecosmart intra venous system on patients’ comfort

Made Indra Ayu Astarini — 2024-04-03

Intravenous fluid therapy may cause discomfort to patients most of the time. More research and innovation are needed to develop infusion devices to provide a more comfortable feeling for patients receiving the therapy. This preliminary study analyzed the effect of economical and smart (ecosmart) infusion systems on comfort in healthy adults. The one-group post-test-only design was used in this pre-experimental investigation. A range of ages, gender, body weight, body temperature, and normal blood pressure selected participants. An independently created, valid, and reliable tool was used to measure comfort. Data analysis employed a t-test on a single sample. Fifteen nursing students are participating as sampling objects. The average comfort score for the study's participants was 11.2 (SD = 2.5967; p < 0.05). The result indicates that the participants are at ease using the ecosmart system. The respondents' sense of comfort related to the instrument showed comfort or relaxation.

Keywords: Nursing care; ecosmart; comfort; patient-centered care; hospital; fluid therapy

Ethical principles of autonomy for patients receiving care in the Intensive Care Unit (ICU): A concept analysis

Pratama Yulianto — 2024-03-21

Applying ethical principles is crucial in providing nursing services to patients in any setting. Ethical principles serve as a foundation for nurses to deliver holistic care while avoiding harm to patients. To enhance our understanding of the principle of autonomy, an analysis of its concept can be conducted. However, research on concept analysis related to the ethical principle of autonomy in nursing is limited. This study aims to present a nursing perspective analysis of the concept of autonomy. Using the Walker and Avant (2011) approach, a concept analysis process was conducted by reviewing literature on autonomy through the ProQuest and Google Scholar databases. The search was restricted using the keywords "autonomy" and "intensive care unit" and the publication time frame from 1896 to 2023. Walker and Avant's (2011) concept analysis method involves eight steps that identify the attributes, antecedents, and consequences of autonomy, leading to an operational definition of the concept. This concept analysis reveals that autonomy is the right to freedom or independence for individuals based on their desires, assumptions, and preferences in determining decisions and goals that align with good rules. Autonomy enables patients to attain goals, satisfaction, goodness, and comfort.

Keywords: Concept analysis; intensive care unit; autonomy; hospital care; emergency care; nursing practice