Workload Of Nurses Research Articles

Investigation of nurses' general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors.

This study aimed to investigate professional nurses' general attitudes toward artificial intelligence, their knowledge and perceptions of ChatGPT usage, and the influencing factors. The population of the research consists of nurses who follow a social media platform account in Turkey. The sample of the study consisted of 288 nurses who participated in the study between December 2023 and March 2024. Data were collected through an account on a social media platform via Google Forms using the Information Identification Questionnaire for ChatGPT and Artificial Intelligence Programs and the General Attitudes to Artificial Intelligence Scale (GAAIS). The mean scores obtained from the overall GAAIS and its Positive Attitudes subscale from the participants in this study were 67.54 ± 13.14 and 41.89 ± 11.24, respectively. Of the participants, 48.3% knew about ChatGPT and artificial intelligence programs. Of the participants, 27.8% used ChatGPT and artificial intelligence programs. Their scores for the Positive Attitude subscale were higher than were the scores of those who did not use such programs. Of the participants, 84.4% thought that nurses should be made aware of ChatGPT and artificial intelligence programs, 67% thought that the use of these programs would contribute to nurses' professional development, 42.4% thought that the use of these programs would not reduce nurses' workload, and 58.3% thought that the use of these programs would positively affect patient care. In this study, it can be said that nurses in Turkey have positive attitudes toward integrating ChatGPT and AI programs to improve patient outcomes and add them to nursing practices. The present study in which nurses' attitudes toward the implementation of ChatGPT and artificial intelligence programs were investigated is expected to provide information for healthcare institutions, policy makers and artificial intelligence developers on the integration of ChatGPT and artificial intelligence into nursing practice. It is necessary to create environments that use AI technologies that reduce the nursing workload of nurses in the clinical area and positively affect the quality of patient care.

Normal saline for children with bronchiolitis: study protocol for a randomised controlled non-inferiority trial

IntroductionBronchiolitis is one of the most common reasons for hospital admissions in early childhood. As supportive treatment, some treatment guidelines suggest using nasal irrigation with normal saline (NS) to facilitate...

Influence of Nurses Workload Regarding Medication Errors Knowledge in Pediatric Critical Care Unit

Influence of Nurses Workload Regarding Medication Errors Knowledge in Pediatric Critical Care Unit

Pengaruh Early Warning Score terhadap Keselamatan Pasien

This study aims to identify the application of the Early Warning Score (EWS) system to patient safety. The method used is Literature Review. Article searches have been carried out comprehensively using the Pubmed and Google Scholar databases. Search for articles with the keywords Early Warning Score, Emergency, Patient Safety. The research results show that safety increases from early detection using EWS. EWS is very influential in improving patient safety. EWS is a scoring system that is simple, practical, easy to use and does not increase the workload of nurses. The influence of nurse competency using EWS can improve patient safety because it makes nurses compete to improve knowledge and skills, nurse communication, decision making, and collaboration with other health workers. In conclusion, the application of the Early Warning Score is very influential in supporting patient safety, where the Early Warning Score can detect patient deterioration early so that nurses are able to carry out further nursing actions. Apart from that, nurses' understanding and good nursing skills can support patient safety. 
 
 Keywords: Emergency, Patient safety, Early Detection Score

Assessment of Mental Workload Nurses in COVID-19 Pandemic

Objectives: Nurses are at the front line of treatment and coping with COVID-19 pandemic. Therefore, the present study investigates the pandemic’s impact on nurses ’mental workload and determines its predictive factors.
 Methods: This descriptive-analytical study was done on 234 nurses in two groups working at COVID-19 and non-COVID-19 wards in 2020. The criteria for entering the study were the absence of psychological problems. Data was gathered using the General Health Questionnaire, NASA-TLX, and Demographic Questionnaire.
 Results: The mean of the overall mental workload score in the group of nurses working at the Covid-19 wards (70.09 ± 2.51) was higher than the group of nurses working in the non-COVID-19 wards (66.55 ± 2.02). This difference was significant (P = 0.01). There was a significant difference between the mean score of the mental demand, the physical demand, the temporal demand, and the frustration level of the two groups. With the exception of performance, the group of nurses working in the corona ward had a higher mean score in all aspects. In the proposed linear model, 16% of the overall changes in mental workload depended on two variables, which were age and work experience. The work experience was the most influential factor in predicting nurses' mental workload.
 Conclusion: The findings of the present study showed the importance of paying attention to the mental workload of nurses as well as personal and occupational factors affecting mental workload in the conditions of the COVID-19 pandemic. Therefore, control and management of effective factors can help reduce mental workload, especially during pandemic conditions.

Nurses’ occupational physical activity and workload in a perioperative intensive care unit in Slovenia

The field of nursing includes heavy occupational physical demands, including walking and standing for longer periods of time, in addition to moving and lifting. As such, in the context of a typical work shift, many nurses generally achieve the World Health Organization's recommended 10,000 steps per day. This study aimed at estimating the daily physical activity and workload of nurses in a perioperative intensive care unit. The data sources for this study included data from the hospital information system on various procedures and interventions, and the Silva Ex3 Plus pedometers for measuring steps, kilometers, calories, and activity time across various shifts in a perioperative intensive care unit. Twenty nurses from Slovenia volunteered to participate in this observational study. Over 13 weeks, a nurse working an 8-hour shift walked an average of 5,938 steps (4.4 km). However, nurses who worked a 12-hour weekend day shift came very close to the World Health Organization’s recommendation with an average of 9,003 steps (6.5 km). A total of 227 patients were admitted and an average of 80 nursing interventions were performed per day and there was a positive relationship between physical activity, workload, and patient admissions in the perioperative intensive care unit (p = 0.001). Results of this study could help managers better understand nurses' physical activity and workload during various shifts in the perioperative intensive care unit.

KOMPENSASI, BEBAN KERJA, PENGEMBANGAN KARIER, KEPUASAN KERJA DAN PERILAKU CARING PADA PERAWAT RAWAT INAP RSUD KHIDMAT SEHAT AFIAT KOTA DEPOK TAHUN 2023

The high rate of uncaring behavior in providing nursing care to patients, to overcome this problem requires improvements in compensation, career development workload and nurse job satisfaction so that caring behavior can be realized. Quantitative method, cross sectional using smartPLS with a population of 90 nurses. The research results show that compensation has a positive effect on job satisfaction, with a t value of 1.990 which is significant at α=5%. Compensation has a positive effect on caring behavior, with a t value of 2.079 and significant at α=5%. Workload has a negative effect on career development, with tcount value is 5.980 and is significant at α=5%, Workload has a negative effect on job satisfaction, with a tcount value of 7.279 and is significant at α=5%, Workload has a negative effect on caring behavior with a tcount value of 1.990 and significant at α= 5%, Career development has a positive effect on job satisfaction, with a t-value of 1.990 and is significant at α=5%, Career development has a positive effect on caring behavior, with a t-count of 3.608 and significant at α=5%, Job satisfaction has a positive effect on caring behavior, with a t value of 2.079 and significant at α=5%, of the four variables studied, the variable that most dominantly influences the caring behavior of inpatient nurses at Khidmat Sehat Afiat Hospital, Depok City is the workload variable with a direct value of 27%. The conclusion of this research is to provide reinforcement so that the workload of nurses is proportionately adjusted to competency so that nurses' caring behavior can increase

Assessment of Mental Workload of Nurses Using Optimized NASA-TLX Index Based on Fuzzy Approach

Assessment of Mental Workload of Nurses Using Optimized NASA-TLX Index Based on Fuzzy Approach

Factors influencing the mental health status of support nurses and their workload during the COVID-19 epidemic.

The authors used the National Aeronautics and Space Administration Task Load Index (NASA-TLX) and general health questionnaire to analyze the factors influencing the mental health status and the workload of support nurses during the COVID-19 epidemic. The authors conducted a cross-sectional survey of 349 support nurses in April-October 2022. Using QuestionStar, a powerful online survey tool, the authors administered surveys to the participants, collected data on the mental health status and workload of support nurses, and analyzed the influencing factors based on the collected data. A total of 316 questionnaires were successfully collected, with an effective rate of 98.75%. The proportion of support nurses with mental health problems was 25% and the value of the NASA-TLX questionnaire was: M±SD 68.91±7.28 pts. Multi-factor analysis revealed that the number of children, family support, and nursing support location were the influencing factors of mental health status, while the multivariate analysis revealed that the presence of symptoms, nursing support location, support work type, and total 12-item General Health Questionnaire (GHQ-12) score were the influencing factors of the workload of support nurses. Compared to their counterparts in the plains, nurses working in isolated plateau regions who were caring for children and lacked family support, were more likely to have mental health issues. There was a positive correlation between the changes in GHQ-12 and NASA-TLX scores of the study participants. Compared to their counterparts in the plains and the tropical regions, nurses working in plateau regions had a heavier workload. As part of the follow-up measures to prevent and treat patients impacted by the COVID-19 epidemic, it is important to improve the mental health evaluation, consultation, and treatment of the support nurses to guarantee the high quality of the first-line support work. Int J Occup Med Environ Health. 2023;36(6)761-72.

Hubungan Beban Kerja Perawat Instalasi Gawat Darurat Dengan Kepatuhan Pelaksaan Standar Prosedur Operasional Penerimaan Pasien Baru di RSU GMIM Pancaran Kasih Kota Manado

Workload is a description of the volume of work. In hospitals, the workload covers many aspects and this has an impact on compliance with the implementation of SOPs for new patient admissions which can be influenced by high workloads. The aim of this research is to determine "The relationship between emergency room nurse workload and compliance with standard operational procedures for accepting new patients." This research was conducted using a cross-sectional Descriptive Analytical research method, which emphasizes the time of measurement or observation and independent and dependent variables only once. The population in this study was 23 subjekts with a sampling technique using total sampling technique and the sample for this study was 23 subjekts. Data collection uses questionnaires and observation sheets. Analyzed using the chi square test. Based on the chi-square results, it can be seen that the p value is 0.026, which is smaller than p (α < 0.5), so it can be concluded that there is a relationship between the workload of emergency department nurses and compliance with the implementation of new patient admission procedures. The conclusion in this study is that there is a relationship between the workload of emergency department nurses and compliance with the implementation of new patient admission procedures at RSU GMIM Pancaran Kasih, Manado City. Suggestions to hospitals can pay more attention to the workload they experience so as to provide good service to patients.

Factors influencing patient safety culture in hospitals: Literature review

Patient safety is a system that aims to enhance the safety of patient care and prevent injuries resulting from errors during the execution of action. According to the 2011 Minister of Health Regulation concerning Hospital Patient Safety, every hospital is required to undertake patient safety management because hospitals are the most likely locations for patient safety events to occur (Ministry of Health of the Republic of Indonesia, 2011). As a result, hospital culture and patient safety are intertwined. There are various factors that affect patient safety culture. Objectives: To determined the various factors that influence the culture of patient safety in a hospital. Methods: Article search is done through ScienceDirect database, Garuda Portal, and Google Scholar. The keywords entered use Indonesian and English, where for Indonesian keywords are "keselamatan pasien" DAN "rumah sakit", while for English are "patient safety" AND "factors" AND "hospital". From the articles found, the author took 5 articles whose articles were in accordance with inclusion criteria and considered relevant to the topic of discussion. Results: Factors that influence patient safety culture in hospitals include, 1) Economic Aspects; 2) Leadership; 3) Culture; 4) Risk Management System and Health Services; 5) Knowledge, Attitudes, and Actions; 6) Analysis of the Situation and Conditions of the Working Environment; 7) Stress Level and Workload of Nurses; 8) Mentoring Program; 9) Nursing Supervision and Evaluation of the Application of Patient Safety Goals; 10) Teamwork; and 11) Organizational Learning. Conclusions: There are various factors that influence the culture of patient safety in hospitals.

FAKTOR-FAKTOR YANG MEMPENGARUHI STRESS KERJA PADA PERAWAT AKIBAT BEBAN KERJA YANG TINGGI : LITERATUR REVIEW

The level of work stress in the work environment can increase the risk of mental and physical health disorders in individuals, which can affect performance and overall well-being. The aim of carrying out this scientific study is to determine the factors that influence work stress in nurses due to high workload. The method used in the literature review was to analyze eight journals as references by applying PICO. The results show that from the eight scientific research studies, it was found that there was a correlation between high workload and stressful events experienced by nurses, where the higher the workload, the higher the level of stress experienced by nurses. Nurses have complexities in their work, from caring to communicating with patients and their families, so attention is needed from the hospital or employer to balance the workload and welfare of nurses in carrying out their professional duties.

Combining machine learning and optimization for the operational patient-bed assignment problem

Assigning inpatients to hospital beds impacts patient satisfaction and the workload of nurses and doctors. The assignment is subject to unknown inpatient arrivals, in particular for emergency patients. Hospitals, therefore, need to deal with uncertainty on actual bed requirements and potential shortage situations as bed capacities are limited. This paper develops a model and solution approach for solving the patient bed-assignment problem that is based on a machine learning (ML) approach to forecasting emergency patients. First, it contributes by improving the anticipation of emergency patients using ML approaches, incorporating weather data, time and dates, important local and regional events, as well as current and historical occupancy levels. Drawing on real-life data from a large case hospital, we were able to improve forecasting accuracy for emergency inpatient arrivals. We achieved up to 17% better root mean square error (RMSE) when using ML methods compared to a baseline approach relying on averages for historical arrival rates. We further show that the ML methods outperform time series forecasts. Second, we develop a new hyper-heuristic for solving real-life problem instances based on the pilot method and a specialized greedy look-ahead (GLA) heuristic. When applying the hyper-heuristic in test sets we were able to increase the objective function by up to 5.3% in comparison to the benchmark approach in [40]. A benchmark with a Genetic Algorithm shows also the superiority of the hyper-heuristic. Third, the combination of ML for emergency patient admission forecasting with advanced optimization through the hyper-heuristic allowed us to obtain an improvement of up to 3.3% on a real-life problem.

Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study.

Few reports have quantitatively investigated the effect of dementia on medical outcomes and nurse workload. Therefore, we aimed to investigate whether cognitive decline can be identified from a nurse assessment and determined its effect on medical outcomes and nurse workload. This retrospective cohort study used electronic medical record data to investigate whether patients judged by nurses to have cognitive decline were as affected as those with a dementia diagnosis. Further, a model formula was created and validated to predict the probability of needing physical restraint, the nursing care workload, and the record volume. The subjects were 43,330 patients aged ≥40 years who were hospitalized at the study hospital during the four-year study period. Data were analyzed using the chi-square test, Welch's t-test, logistic regression analysis and linear regression analysis. The implementation of physical restraint and a discharge support conference was significantly higher in patients deemed by nurses to have cognitive decline. Nurse-deemed patients with cognitive decline were affected by the outcome and workload as much as those with dementia. The false discovery rate for the Probability model formula of physical restraint and discharge support conference were 0.198 and 0.266. The correlation coefficient of the model formula for predicting nursing care and recording volume was 0.5-0.6. Combining nurse assessment and patient attribute information in a model was useful for predicting nurse workload. These findings may serve as a foundational component for the Clinical Decision Support System, aiding in the evaluation of intervention methods from the early stages of hospital admission and improving care delivery.

Informal carers' experiences with their children's care during hospitalization in Italy: Child HCAHPS results from RN4CAST@IT-Ped cross-sectional study

PurposeTo examine informal carers' experiences during their child's hospitalization and evaluate the associations with care received and care context. Design and methodsWhat is described in this article is only a part of the larger study, RN4CAST@IT-Ped, a multicenter cross-sectional study, with multi-level data collection through convenience sampling, the Child Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was used to collect data from informal carers of pediatric patients, applying the “top box” approach. ResultsNine hospitals, 1472 nurses, and 635 children's parents were involved. A correlation was found between patient safety and satisfaction outcomes and nursing staff characteristics. Adequate workloads for nurses improved carers' assessment of their experience in the hospital. ConclusionAdequate staffing management could significantly improve informal carers' satisfaction with the care provided to their children during hospitalization. Practice implicationsChildren's informal carers greatly value the care they receive in pediatric hospitals. Adequate workloads for nurses improve carers' overall evaluation of the care their children receive during hospitalization. Nursing management should consider improving these aspects to ensure high-quality care in children's hospitals.

General Practitioner's Experience of Public-Private Partnerships to Develop Team-Based Care: A Qualitative Study.

Objectives: A tripartite public-private partnership was established between GPs' practices, public health authorities and a university department of family medicine, to develop multidisciplinary teams and integrate nurses into GPs' practices. The present paper describes the points of view of the GPs involved in this collaboration. Methods: We conducted a qualitative study, with data coming from eight interviews with GPs, one from each practice. We also used the facilitator's project diary to complete the discussion. Results: The principal issue discussed was the financial aspects of the collaboration. GPs are generally satisfied, but time spent coordinating with nurses and transferring activities made them fear financial losses. Secondly, the partnership with public health authorities was well appreciated, but not clear enough. Some aspects of the partnership, such as referring patient to the nurse should have been better defined et controlled. The last aspect was the academic support. It allowed reducing GPs' workload in training nurses and supporting the project implementation within the GPs' practice. Conclusion: GPs have a positive point of view of such public-private partnership and saw an opportunity to be involved in developing public health policies.

Nurses' mental workload and public health emergency response capacity in COVID-19 pandemic: A cross-sectional study.

The aim of this study was to assess the level of mental workload of Chinese nurses through a latent profile analysis and to explore its relationship with public health emergency response capacity. A cross-sectional design with a convenience sample. A convenience sample of nurses from five tertiary hospitals in Chengdu between Mayand December 2022. Demographic, work-related information, Nurse's version of NASA's Task Load Index Scale and Nurse's Public Health Emergency Response Capacity Scale were used in this study. The mean scores for mental workload and emergency response capacity for nurses were (57.19 ± 15.67) and (3.58 ± 0.77) respectively. We found that the mental workload of nurses fell into three potential categories. In addition, there were differences in psychological training and supply of epidemic prevention materials in the department among nurses with different mental workload subtypes. There was a moderate negative correlation between nurses' mental workload and public health emergency response capacity. Our results show that there is still a strong mental workload on a proportion of nurses, and enhanced psychological training and material supply support are beneficial in relieving nurses' mental workload. The better the nurses' capacity to cope with public health emergencies, the lower their mental workload. Nursing managers should pay ongoing attention to the mental workload status of nurses in the latter stages of a pandemic and individual differences in nurses' mental workload. In addition, nursing managers should be aware of the impact of public health emergency response capacity on nurses' mental workload. They can intervene in nurses mental workload from a new perspective. 560 registered nurses participated in this study.

Analisis Baban Kerja Dengan Kinerja Perawat Di Ruang Rawat Inap Instalasi Pelayanan Kesehatan Jiwa Terpadu RSUD Banyumas

Performance is not good an impact on poor service, so that patients feel uncomfortable and dissatisfied with the service. The aim of this research is to analyze the workload and performance of nurses in the Inpatient Department of the Integrated Mental Health Services Installation at Banyumas Regional Hospital. This type of quantitative research with a correlational study design. The sampling technique was total sampling with a total of 46 nurses in the Inpatient Department of the Integrated Mental Health Services Installation at Banyumas Regional Hospital. The research instrument used a questionnaire. Data analysis used the Spearman rank test. The results showed that most of the nurses' workload was in the medium category (52.2%), most of the nurses' performance was in the good category (54.3%). The relationship between workload and nurse performance in the Inpatient Department of the Integrated Mental Health Services Installation at Banyumas Regional Hospital obtained a p value of 0.000 ? 0.05 and rho value: -0.614. Conclusion: There is a relationship between workload and the performance of nurses in the Inpatient Department of the Integrated Mental HealthServices Installation at Banyumas Regional Hospital.

L’utilisation du NASA-TLX en analyse du travail : de la prescription organisationnelle aux déterminants des contraintes de l’activité en chirurgie ambulatoire

This study aims to analyze the conditions and workloads of ambulatory surgery nurses and to propose a method for identifying the real constraints of the activity. The results showed discrepancies between the constraints perceived by the organization's prescribers and the reality of outpatient work. The use of NASA-TLX, integrated into an activity-centric work analysis approach, contributes to the identification of the impacts of the activity. The global approach guides actions on working conditions and human resources management strategy.

Prevalence and Causes of Occupational Hazards and their Association with Safety Climate among Nurses in Gorgan Educational and Therapeutic Hospitals in Gorgan

Background and Objective: Occupational hazards among nurses are very high, resulting in increased absenteeism from work, more doctor visits, reduced service delivery, and work disability. A poor safety climate may be one of the causes of workplace injuries. This study was conducted to determine the prevalence and causes of occupational accidents, as well as the existing safety climate, in Gorgan teaching hospitals from the nurses' perspective. Materials and Methods: It was a cross-sectional study conducted in teaching hospitals in Gorgan, Iran. In total, 267 nurses participated in the study, who were selected by stratified random sampling. Data were collected using valid and reliable questionnaires on the frequency of occupational hazards, causes of occupational hazards, and safety climate, and then analyzed using the Spearman correlation coefficient, as well as the Mann-Whitney U test and the Kruskal-wallis test. Results: Regarding physical injuries, 94% of nurses had suffered from musculoskeletal disorders. In addition, 90.3% reported being threatened or verbally and physically assaulted by the patient and attendants. The heavy workload of nurses was the most important and frequent cause of occupational injuries in the nurses’ workplace (61%). The average rating of the existing safety climate was 3.10±0.6, and the safety climate was moderate (3.10±0.6). Occupational hazards were negatively and weakly, yet significantly, correlated with the overall rating of the safety climate and all its dimensions (P-value<0.05), indicating that as occupational hazards increase, the safety climate and all its dimensions decrease. Conclusion: A high percentage of nurses reported work-related physical and psychological injuries, and the safety climate among them was relatively moderate. To reduce the number of physical injuries, nurse leaders need to address injury prevention methods to manage this problem. To improve the safety situation, in addition to corrective control measures, training on safety issues and the regulation of rest hours should be conducted in hospital departments for all employees.