Nursing Information Research Articles

The Relationship Between Ethical Attitudes and Compassion Fatigue in Nurses Working in Surgical Intensive Care Units

Aim This study aimed to explore the relationship between ethical attitudes and compassion fatigue experienced by nurses in surgical intensive care units. Methods It is mixed-design research. The study was conducted with 38 nurses working in the surgical intensive care units of a university hospital who agreed to participate in the study. Quantitative data were collected using the Nurse Information Form, the Ethical Attitude Scale for Nursing Care, and the Compassion Fatigue–Short Scale. Qualitative data were collected using a semistructured questionnaire, through individual interviews with 9 volunteer nurses in surgical intensive care units. Results The study revealed that nurses exhibited high levels of ethical attitudes in nursing care along with high levels of compassion fatigue. During the qualitative data analysis, 4 key themes emerged: ethical approaches in surgical intensive care units, professional quality of life in nurses, the reflections of compassion fatigue on ethical behavior, and nurses’ well-being. Conclusions It was concluded that when compassion fatigue increased in nurses in surgical intensive care units, ethical attitudes in nursing care decreased. Therefore, compassion fatigue can be addressed by programs that support nurses’ well-being, such as meditation, deep breathing, self-compassion exercises, and so on. It can be reduced.

Web-Based Nursing Care Documentation for Students to Support Online Learning

Nursing care is the most critical element in nursing services, which aims to improve the patient’s health status. Ineffective and inefficient care documentation can impact the quality of nursing services. However, the increasingly advanced development of technology provides freedom for the health world to improve the quality of patient-centered services. Educational institutions have also used information technology in learning process activities. As prospective health professionals, students must be equipped with competencies to support their performance. In this study, a web-based nursing care information system was developed to assist students in documenting care activities. The website application was designed to increase student competency in nursing documentation activities to provide high-quality nursing services even though learning is online. The waterfall model approach was used in application design. The design stage started with analyzing application requirements, followed by system design and coding. Next, using a Likert-scale questionnaire, a usability test was performed on 15 beta users to assess the functionality of the application. The results showed that the nursing care website application was easy to use and that students felt satisfied. It is hoped that the website application can be made more attractive by including a decisional support system to make it easier for students to enforce nursing diagnoses on patients.

Examination of the relationship between nurses' adherence to medication administration principles and their attitudes toward patient safety.

Preventing errors associated with medication administration is achievable through nurses' adherence to correct principles. This study aims to investigate the relationship between nurses' adherence to medication administration principles and their attitudes toward patient safety. This study adopts a descriptive and relationship-seeking research design. A total of 310 nurses who met the inclusion criteria participated in the study. Data collection tools included the "Nurse Information Form," "Medication Administration Principles Adherence Form," and "Patient Safety Attitude Scale". Among the participating nurses, 32.9% (n = 102) reported experiencing a medication administration error, and 77.7% (n = 241) witnessed such an error. The study revealed a statistically significant positive relationship between nurses' adherence to medication administration principles and their attitudes toward patient safety (p < 0.001). This study underscores the importance of nurses' adherence to medication administration principles in ensuring patient safety.

Exploring the Association between Complexity of Care, Medical Complexity, and Length of Stay in the Paediatric Setting Using a Nursing Minimum Data Set: A Study Protocol.

The complexity of care requires systematic documentation to fully understand its relationship with medical complexity and its impact on patient outcomes. The Nursing Minimum Data Set (NMDS) plays a crucial role by capturing essential nursing data, enabling a detailed analysis of care and its impact on outcomes, such as length of stay (LOS). However, despite its potential, the use of NMDS in paediatric care remains limited. This study aims to explore the association between nursing and medical complexities and LOS in paediatric patients. A descriptive, retrospective, monocentric study will be conducted. The data will be collected through a nursing information system (Professional Assessment Instrument (PAIped)) and the hospital discharge register of patients admitted to the paediatric department in 2022 in an Italian university hospital. Conclusions and Expected Results: The use of PAIped will allow for the description of the complexity of care and enable an analysis of its relationship with medical complexity and LOS.

Role of health literacy on lifestyle and glycemic control among women with diabetes during pregnancy: a cross-sectional study.

The present study aimed to explore the impact of health literacy on the lifestyle of women with diabetes during pregnancy. A cross-sectional study assessed the influence of some demographic characteristics and health literacy dimensions in predicting lifestyle and glycemic control in a sample of 230 women with diabetes during pregnancy. The data collection included a demographic form, a health literacy scale, and a lifestyle questionnaire. The data were analyzed using a one-way ANOVA and Pearson's correlation coefficient. The predictors were determined using a hierarchical linear regression analysis. The participants had an average age of 27.74 years (SD = 6.54) and an average HbA1c level of 6.93% (SD = 1.93). Approximately 51.0% of the variation in lifestyle can be explained by health literacy (HL) and demographic variables (p-value <0.05). In addition, approximately 15.0% of the variation in HbA1c can be explained by health literacy, lifestyle, and demographic variables (p-value <0.05). According to our findings, decision-making was found to be the strongest predictor of lifestyle. This study provides valuable information for nurses and other healthcare providers to help empower pregnant women to increase their health literacy and improve their lifestyle.

Exploring the Impact of Medical Complexity on Nursing Complexity of Care in Paediatric Patients: A Retrospective Observational Study.

To explore the impact of medical complexity, defined by the number of chronic conditions, on the complexity of care, as described by the frequency of nursing diagnoses (NDs) and nursing actions (NAs), in paediatric patients. Retrospective observational study. This study was conducted in an Italian university hospital and involved the analysis of electronic health records for neonatal and paediatric patients who were consecutively admitted from January to December 2022. The sample was classified into three categories-non-chronic, single chronic and multimorbid patients-according to their clinical profiles. NDs recorded within the first 24 h from patient hospital admission and NAs performed throughout the hospital stay were counted for each group. Distinct variations in the prevalence and patterns of NDs and NAs were observed across different levels of medical complexity. A significant moderate positive correlation between the number of NDs and NAs was found. However, the frequency of NDs did not directly correlate with the number of chronic conditions. Conversely, a weak but significant negative correlation was identified between the quantity of NAs and the number of chronic conditions. While the frequency of NDs showed a stable but decreasing trend as the number of chronic conditions increased, a higher number of chronic conditions were associated with a lower quantity of NAs. We discovered a notable variation in the complexity of care across varying levels of medical complexity in paediatric patients. Our findings suggest that the complexity of care does not necessarily correspond to the degree of medical complexity. The observed negative relationship between the number of chronic conditions and the quantity of NAs underscores the need for further research to explore this unexpected finding and its implications for clinical practice. Without the adoption of standardised nursing terminologies, such as nursing diagnoses (NDs) and nursing actions (NAs), assessing the complexity of care in paediatric settings can be challenging. Integrating clinical nursing information systems that incorporate standardised NDs and NAs into electronic health records is crucial for accurately documenting and analysing the complexity of care and its relationship with medical complexity. In paediatric patients, the frequency of nursing diagnoses (NDs) at hospital admission is significantly associated with the quantity of nursing actions (NAs) delivered during hospitalisation. However, there is no correlation between the frequency of NDs and medical complexity, as defined by the number of chronic disorders. Specifically, the frequency of NDs decreases with increasing medical complexity, while the quantity of NAs is negatively associated with the number of chronic disorders. This indicates that the complexity of care cannot be inferred solely from medical complexity, and additional factors need to be explored. These findings enhance understanding of how complexity of care relates to medical complexity in paediatric patients. Insights into the prevalence and patterns of NDs and NAs can benefit nurses, managers, researchers and policymakers by informing clinical and organisational decision-making to ensure high-quality care. The study adhered to the RECORD Statement. Patients, service users, caregivers or public members were not directly involved in the design, conduct, analysis and interpretation of data or in writing this paper. Patients contributed only to data collection.

Development and validation of the Nursing Information Security Questionnaire.

Background Ensuring the security of nursing information holds substantial importance. The awareness of information security among nurses in China is generally inadequate, and there is a lack of standardized evaluation tools for nurse information security in nursing practice. The nursing sector necessitates the establishment of a robust culture surrounding information security. Objective The aim of this study was to construct a self-reporting instrument for evaluating nursing information security. Methods The research team utilized literature analysis and group discussions to draft the item pool. After two rounds of Delphi consultation by 15 experts and pilot testing, the initial questionnaire was formed. Item analysis was carried out on the questionnaire, and the validity and reliability of the instrument were statistically tested by computing the Keiser-Meier-Olkin (KMO) and Bartlett tests, an exploratory factor analysis, a confirmatory factor analysis, convergent and discriminative validity, descriptive statistics, Cronbach's α and test-retest reliability. Results A total of 501 nurses participated in the study, supplemented by the inclusion of five experts who were invited to contribute to the assessment of content validity. Four factors were formed using exploratory factor analysis (n=250), and the cumulative variance contribution rate was found to be 60.10%. The confirmatory factor analysis (n=251) showed the model fit was good. The overall Cronbach's α coefficient of the questionnaire was 0.948, and the test-retest reliability was 0.837. Conclusion Finally, the NIS-Q with 38 items and three dimensions of knowledge, attitude and practice were formed. A promising assessment instrument for gauging the degree of nursing information security was introduced. Further, a foundational platform was established for implementing specific enhancement strategies aimed at advancing nursing information security.

Unveiling the SChematic Organization of Pharmacological Information for Nurses: A New Approach to Pharmacology Education for Nurses.

Unveiling the SChematic Organization of Pharmacological Information for Nurses: A New Approach to Pharmacology Education for Nurses.

The role of mental health in the relationship between nursing care satisfaction with nurse-patient relational care in Chinese emergency department nursing.

The relationship between a nurse and a patient is a key part of nursing that can impact how happy the patient is with the care they receive. It appears that the nurse's mental health can also affect this connection. However, there is little research on this topic. So, the aim of the present study was to determine the correlation of nurse's mental health with nurse-patient relational care and nursing care satisfaction. A total of 532 nurses and 532 patients from 13 Level-III hospitals of Hubei province (China) completed a China Mental Health Survey, general information questionnaire, the Nursing Care Satisfaction Scale, and Relational Care Scale. Age, nurse working years, and night shift last month were correlated with mental health score (r = -0.142, r = -0.150, r = 0.164, p < 0.05). Nurse's mental health was correlated with relational care score and nursing care satisfaction score (r = -0.177, r = -0.325, p < 0.05). Also, relational care score, patients age and gender were correlated with nursing care satisfaction score (r = 0.584 and r = 0.143, x2 = 11.636, p < 0.05). Descriptive information of nurses had a direct impact on nurses' mental health (direct effect = 0.612, 0.419-0.713). Nurses' mental health had a direct effect on relational care score (direct effect = 0.493, 0.298-0.428) and an indirect effect on nursing care satisfaction score (indirect effect = 0.051, 0.032-0.074). Relational care score and patient's descriptive information had also a direct effect on nursing care satisfaction score (direct effect = 0.232, 0.057-0.172 and 0.057, 0.347-0.493). This study showed that the better the mental health of nurses, the more patients feel satisfied with nursing services.

Investigation of the effect of nurses’ professional values on their perceptions of good death: a cross-sectional study in Türkiye

BackgroundThe care of patient individuals in the good death process should be planned based on nursing values. The aim of the study is to determine nurses’ perceptions of a good death and its relationship with nursing values.MethodsThe study is descriptive and cross-sectional and was completed with 210 nurses. Data were collected using the Nurse Information Form, Good Death Scale, and Revised Nursing Professional Values Scale. In the study, an attempt was made to reach nurses across Türkiye over a three-month period using the snowball sampling method without calculating the sample size beforehand. Descriptive statistics, Kruskal Wallis and Mann Whitney U test, LSD test, Spearman correlation and linear regression analyzes were used in the study.ResultsThe nurses’ Good Death Scale total mean score was 53.52 ± 7.11, and The Revised Nursing Professional Values Scale mean score was 97.77 ± 15.71. There was a moderate, positive, statistically significant relationship between the nurses’ Good Death Scale total mean scores and the Revised Nursing Professional Values Scale total mean scores (r = 0.522; p < 0.001).ConclusionsValue-based educational activities may be effective in helping nurses have positive perceptions about a good death.

Air Pollution and Stroke: What Nurses Need to Know.

Air pollution exposure is linked to an increased risk of stroke. Elevated levels of pollution (carbon monoxide, carbon dioxide, nitrous oxide, sulfur dioxide, coarse particulate matter [PM10], and especially fine particulate matter [PM2.5]) cause systemic inflammation after the particles are inhaled and lodge into lung tissue, causing an increased incidence of stroke, hospitalizations for stroke, and stroke mortality. Until air pollution levels are remediated, assessing Air Quality Index (AQI) and following the guidelines to decrease illness from exposure is imperative. AQI levels are reported hourly, identifying ambient PM2.5 and ozone levels. When AQI levels are low, the risk of exposure to PM2.5 is low. As the AQI increases, there is more risk. It is important to take steps to decrease exposure to PM2.5, especially for those with cardiovascular comorbidities such as diabetes and those with previous stroke events. This is important information for nurses to understand and share with their patients as a risk reduction strategy.

Mediating Role of Evidence-Based Nursing Competence Between Specialist Nurses' Information Literacy and Innovative Behaviour: A Multicentre Cross-Sectional Study.

To investigate the levels of information literacy, evidence-based nursing competence and innovative behaviour in specialist nurses, determine the impact of information literacy and evidence-based nursing competence on the innovative behaviour of specialist nurses and to analyse the mediating role of evidence-based nursing competence between information literacy and innovative behaviour among specialist nurses. A multicenter cross-sectional design. In March 2024, a survey was conducted on 313 specialist nurses in four tertiary Grade A comprehensive hospitals in China. Data collection involved the utilization of general demographic questionnaire, the Information Literacy Questionnaire, the Evidence-Based Nursing Competence Scale and the Nurse Innovation Behaviour Scale. The data were analysed using IBM SPSS26 and Amos28 software. Specialist nurses scored above average in information literacy, evidence-based nursing competence and innovative behaviour. Information literacy significantly positively correlated with innovative behaviour. Evidence-based nursing competence also positively affected innovative behaviour and partially mediated the relationship between information literacy and innovative behaviour. This research indicated that specialist nurses exhibited above-average levels of evidence-based nursing competence, information literacy and innovative behaviour. Both information literacy and evidence-based nursing competence positively impacted innovative behaviour, with evidence-based nursing competence playing a significant mediating role between information literacy and innovative behaviour. The findings suggest that nursing managers should focus on enhancing information literacy and evidence-based nursing competence in specialist nurses. Improving these abilities will support the implementation of innovative practices and advance the nursing field. The research findings were presented in strict accordance with the STROBE statement. Not applicable. It provides reference guidance and theoretical basis for global nursing managers to formulate targeted interventions, so as to effectively enhance the innovative behaviour of specialist nurses.

Nursing Informatics Competency among Nurses at a Teaching Hospital in Malaysia

Nursing informatics merges nursing science with information and analytical sciences to identify, describe, manage, and disseminate nursing data, information, knowledge, and wisdom. Identifying nurses’ informatics competency will help improve information technology utilisation in clinical practice. The aim of this study was to assess basic competency in nursing informatics and related factors influencing nurses working in a university teaching hospital. Thus, a cross-sectional study was conducted. A stratified random sampling of the total population of 1,136 nurses with sample size of 316 nurses participated in this study. The data was collected using a self-reported questionnaire utilising the Nursing Informatics Competency Assessment Tool (NICAT) reaching targeted sample by convenient approach. The results of this study showed that 85% (n = 269) nurses were competent in nursing informatics competency. There was a significant relationship between basic nursing informatics competency and sociodemographic of age (t = 4.194, p = 0.000), gender (t = –2.558, p = 0.011), educational level (F [2,313] = 5.094, p = 0.007) and working discipline (F [6,309] = 8.309, p = 0.000). There was also a significant relationship between basic nursing informatics competency and working experience (ρ = –0.231, n = 316, p = 0.000). However, the study is based on self-reporting and does not measure the actual performance of nursing informatics competency. Overall, the findings indicated the need for improvement in nursing informatics by exposure or awareness for potential age group and particular clinical setting for training and educational of nursing informatics.

Can digital leadership transform AI anxiety and attitude in nurses?

The lack of artificial intelligence applications in nursing education and the nursing profession in Turkey and the need for strategies for integrating artificial intelligence into the nursing profession continues. At this point, there is a need to transform the negative attitudes and anxiety that may occur in nurses. It was aimed to reorganize the professional transformation in this parallel by analyzing the effect of digital leadership perception, which is explained as how nurses approach digital technologies and innovations and their awareness of how and with which methods they can use these technologies on artificial intelligence anxiety and attitude in the nursing profession. The study was designed as descriptive, correlational, and cross-sectional. The research was conducted by reaching 439 nurses working in hospitals operating in three different regions of Turkey by simple random sampling method. In the first part of the data collection tool used in this study, digital leadership scale, artificial intelligence use anxiety, and artificial intelligence attitude scales were used, including questions determining the demographic information of nurses, their relationship with technology, artificial intelligence usage status and its importance in the profession. It was determined that 29.8% of the nurses had a good relationship with technology, 66.3% knew about using artificial intelligence in health, and 27.3% wanted it to be more involved in their lives. It was determined that nurses' perceptions of digital leadership were at a medium level of 46.9% and a high level of 41.7%, 82.7% had a positive attitude towards artificial intelligence, and 82.7% had low or medium level anxiety when their artificial intelligence anxiety status was examined. There was a significant and negative relationship between digital leadership and AI anxiety (r = -0.434; p < 0.01), a significant and positive relationship between digital leadership and AI attitude (r = 0.468; p < 0.01), and a significant and negative relationship between AI attitude and AI anxiety (r = -0.629; p < 0.01). Finally, it was determined that nurses' perception of digital leadership indirectly affected AI anxiety through AI attitude (β = -0.230, 95% CI [-0.298, -0.165]). It is suggested that the anxiety and attitude towards artificial intelligence can be transformed positively with the effect of digital leadership, and in this parallel, the digital leadership phenomenon should be evaluated as a practical implementation strategy in integrating artificial intelligence into the nursing profession. Our study showed that artificial intelligence attitude has a mediating role in the indirect effect of the perception of digital leadership in nursing on AI anxiety. It was determined that nurses' digital leadership perception, artificial intelligence anxiety, and artificial intelligence attitude differed significantly with demographic variables.

Engagement strategies adopted by the nursing information officer team in preparing nurses for the implementation of an integrated electronic health record.

This article explores the critical role the nursing information officer (NIO)'s team played in facilitating the transition to an electronic health record system (EHR) at two NHS trusts in London. The article highlights that with the increasing importance of digital leadership in nursing, it is necessary to prepare nursing staff for the implementation of an EHR to enhance patient care and staff experience. It discusses various methodologies the NIO's team adopted, including 'show and tells', demos, walkabouts, induction sessions, 'CopyCat' charting, and a 'change and engagement' document. These engagement strategies are aimed at addressing diverse learning needs, increasing nurses' confidence and ensuring effective use of the new EHR. The successful implementation of an EHR depends on collaborative efforts among nursing staff, leadership and NIO teams. This emphasises the importance of embracing digital transformation and innovative strategies in navigating healthcare technology complexities.

Paediatric nurses' perspectives on artificial intelligence applications: A cross-sectional study of concerns, literacy levels and attitudes.

This study aimed to explore the correlation between artificial intelligence (AI) literacy, AI anxiety and AI attitudes among paediatric nurses, as well as identify the influencing factors on paediatric nurses' AI attitudes. A descriptive, correlational and cross-sectional research. This study was conducted between January and February 2024 with 170 nurses actively working in paediatric clinics in Turkey. The data collection tools included the Nurse Information Form, the General Attitudes Towards Artificial Intelligence Scale (GAAIS), the Artificial Intelligence Literacy Scale (AILS) and the Artificial Intelligence Anxiety Scale (AIAS). To determine the associations between the variables, the data was analysed using IBM SPSS 28, which included linear regression and Pearson correlation analysis. The study indicated significant positive correlations between paediatric nurses' age and their AIAS scores (r = .226; p < .01) and significant negative correlations between paediatric nurses' age and their AILS (r = -.192; p < .05) and GAAIS scores (r = -.152; p < .05). The GAAIS was significantly predictive (p < .000) and accounted for 50% of the variation in AIAS and AILS scores. Paediatric nurses' attitudes towards AI significantly predicted AI literacy and AI anxiety. The relationship between the age of the paediatric nurses and the anxiety, AI literacy and attitudes towards AI was demonstrated. Healthcare and educational institutions should create customized training programs and awareness-raising activities for older nurses, as there are noticeable variations in the attitudes of paediatric nurses towards AI based on their age. Providing in-service AI training can help healthcare organizations improve paediatric nurses' attitudes towards AI, increase their AI literacy and reduce their anxiety. This training has the potential to impact their attitudes positively and reduce their anxiety. The study results were critically reported using STROBE criteria. No patient or public contribution.

Patient satisfaction with nursing care and information received from nurses

Patient satisfaction with nursing care and information received from nurses

Variables that predict nurses' job stress and intention to leave during the COVID-19 pandemic in Turkey.

To investigate the variables predicting job stress and intention to leave the job among nurses during the COVID-19 pandemic in Turkey. This research was designed as an analytical cross-sectional study. The population of the study consisted of 450 nurses working in a training and research hospital (N = 450). The study sample consisted of 178 nurses who worked in that hospital between February and July 2021. The Nurse Information Form, Job Stress Scale, and Intention to Leave Scale were used as data collection tools. The independent-sample t-test, one-way analysis of variance, and Pearson correlation analysis were applied for univariate analysis while multiple regression analysis was used for multivariate analysis. It was determined that the main factors predicting nurses' job stress levels were their Intention to Leave Scale scores, level of organizational satisfaction. The main factors predicting intention to leave were their Job Stress Scale scores, working conditions, and job satisfaction. A positive moderate correlation was found between job stress and intention to leave. This study demostares that among nurses during the COVID-19 pandemic, the predictors of job stress were intention to leave and organizational satisfaction, while the predictors of turnover intention included job stress, working conditions, and job satisfaction. Hospital managers, especially nursing services managers, should develop strategies for extraordinary situations such as pandemics and evaluate the professional satisfaction of nurses while providing a healthy working environment. No patient or public contributions.

Next-Generation Intelligent Care Opportunities

Nursing information systems are becoming increasingly prevalent in our medical institutions. However, changes in the social environment and imbalances between the demands of caregivers and care recipients mean that current nursing information systems are inadequate in terms of quality and operational needs. This article was written to provide insights into opportunities to leverage technology to further promote care quality by applying a "data, information, knowledge, and wisdom" system development structure to develop intelligent technology products that equitably meet the needs of patients, caregivers, and nursing processes. Applied in clinical settings, these products should help satisfy patient needs and facilitate nursing work.

Investigation of related factors of operating room nurses' attitudes and awareness towards surgery-related pressure injury prevention in Turkey, Croatia, and Italy

ObjectiveThe aim of this study is to examine related factors of operating room nurses' attitudes and awareness towards surgery-related pressure injury prevention in Turkey, Croatia, and Italy. MethodsA descriptive and cross-sectional design was used. The study was conducted between March and September 2023. Data were collected with an online questionnaire created on Google Forms, consisting of a Nurse Information Form, a Surgery-related Pressure Injury Awareness Form, and the Attitude towards Pressure Ulcer Prevention Instrument. ResultsThe sample of the study consisted of 258 operating room nurses working in Turkey, Croatia, and Italy. It was found that the majority of the participants (70.90 %) did not use a risk scale, had not received education on pressure injury prevention and treatment (58.10 %) but wanted to receive it (86 %). Mean attitude scores of operating room nurses by country were at an adequate level in Turkey (42.48 ± 4.30) but not at the desired level in Croatia (37.48 ± 3.44) and Italy (36.20 ± 4.02). While there was a significant positive relationship between the awareness and attitudes of operating room nurses in Turkey (p = 0.002) and Croatia (p < 0.001), no relationship was found between these variables of nurses in Italy (p = 0.109). A statistically significant difference was found between nurses' consideration of themselves sufficient and their attitudes and awareness in all three countries (p < 0.05). It was also determined that reading articles affected nurses’ awareness in all countries. ConclusionsWhile operating room nurses’ attitudes towards preventing pressure injuries were adequate in Turkey, it was determined that those of the nurses in Croatia and Italy were not at the desired level. Nurses should receive regular training on surgical pressure injuries to increase their awareness and to support them in implementing the recommendations of pressure injury guidelines in accordance with institutional policy.