"We do others' Jobs": a qualitative study of non-nursing task challenges and proposed solutions.

INTRODUCTION: Non-nursing tasks (NNTs) have become a prevalent issue among healthcare professionals, affecting nurses globally. This study delves into the experiences of Jordanian nurses regarding NNTs, aiming to uncover challenges and propose solutions within the Jordanian healthcare context. OBJECTIVE: Explore the impact of NNTs on Jordanian nurses' roles, workload, and satisfaction. Additionally, the study aims to identify various types of NNTs performed by nurses, understand their impact, and propose solutions to mitigate challenges associated with these tasks. METHODS: A qualitative-exploratory research design was employed for this study. Semi-structured interviews were conducted with Jordanian nurses using a purposeful sampling approach to ensure a diverse representation of experiences and perspectives. Thematic analysis was used to identify recurring themes and patterns related to NNTs, their challenges, and potential solutions. Ethical guidelines were strictly followed to maintain participant confidentiality and ensure the integrity of the data collected. RESULTS: Analysis of the interviews revealed four major themes: challenges of NNTs, types of NNTs, impact of NNTs, and proposed solutions. Nurses faced significant difficulties due to task ambiguity, role confusion, and increased workload from NNTs, which included administrative duties, clerical work, and tasks typically performed by other healthcare professionals. These NNTs negatively impacted nurses' effectiveness, productivity, and job satisfaction by diverting time and energy from primary nursing responsibilities, causing professional strain. To address these issues, participants suggested clearer job descriptions, stricter task assignment protocols, and systemic changes to tackle the root causes of NNTs. CONCLUSION: This study sheds light on the pervasive challenges posed by NNTs among Jordanian nurses and emphasizes the importance of addressing these issues to enhance nursing care quality and nurse well-being. By proposing actionable solutions tailored to the Jordanian context, this research contributes to the global discourse on NNTs and underscores the need for organizational support and advocacy to optimize nurses' roles and improve patient care outcomes.

The impact of AI-based decision support systems on nursing workflows in critical care units.

AIM: This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan. BACKGROUND: The deployment of AI technology within the healthcare sector presents substantial opportunities for transforming patient care, with a particular emphasis on the field of nursing. METHOD: This paper examines how AI-based DSS affect CCU nursing workflows in Amman, Jordan, using a cross-sectional analysis. A study group of 112 registered nurses was enlisted throughout a research period spanning one month. Data were gathered using surveys that specifically examined several facets of nursing workflows, the employment of AI, encountered problems, and the sufficiency of training. RESULT: The findings indicate a varied demographic composition among the participants, with notable instances of AI technology adoption being reported. Nurses have the perception that there are favorable effects on time management, patient monitoring, and clinical decision-making. However, they continue to face persistent hurdles, including insufficient training, concerns regarding data privacy, and technical difficulties. DISCUSSION: The study highlights the significance of thorough training programs and supportive mechanisms to improve nurses' involvement with AI technologies and maximize their use in critical care environments. Although there are differing degrees of contentment with existing AI systems, there is a general agreement on the necessity of ongoing enhancement and fine-tuning to optimize their efficacy in enhancing patient care results. CONCLUSION AND IMPLICATIONS FOR NURSING AND/OR HEALTH POLICY: This research provides essential knowledge about the intricacies of incorporating AI into nursing practice, highlighting the significance of tackling obstacles to guarantee the ethical and efficient use of AI technology in healthcare.

Impact of triage nurses' recognition of acute coronary syndrome on patients' clinical outcomes: A retrospective study.

BACKGROUND: Triage nurses' pivotal role in initial assessment makes their competence crucial. However, the specific impact on Acute Coronary Syndrome (ACS) recognition and outcomes remains unclear in Jordanian healthcare. Understanding this relationship could enhance ACS management and patient outcomes in Jordanian Emergency Departments (EDs). OBJECTIVE: To assess how triage nurses' recognition of ACS diagnosis affects patient outcomes in Jordan. METHODS: This retrospective study examined records of 150 ACS patients admitted to the coronary care unit (CCU). Data extraction assessed triage nurses' accuracy in recognizing ACS symptoms and the timelines for diagnosis procedures (e.g., electrocardiogram [ECG]) and treatment provision (e.g., thrombolytic) based on triage decisions. It also evaluated the impact on treatment outcomes, including length of stay in the ED and hospital. Multiple linear regression analyses quantified the influence of under-triage on treatment outcomes. RESULTS: The sample comprised 150 patients. Most were female (78.7%), aged 45-59.9 years (37.3%). ACS classifications: unstable angina (52.0%), STEMI (38.0%), NSTEMI (10.0%). The study included a cohort of ACS patients, with findings indicating varying degrees of under-triage by triage nurses. Analysis of timelines revealed significant delays in diagnosis and treatment initiation for patients subjected to under-triage. Multiple linear regression analyses demonstrated a robust association between under-triage and prolonged time to essential treatment outcomes, including delays in physician assessment, ECG performance, thrombolytic administration, and extended ED length of stay. CONCLUSION: Triage nurses' knowledge and competency are crucial determinants of accurate ACS recognition and subsequent clinical outcomes for patients presenting to the ED in Jordan. Investing in ongoing education and training programs for triage nurses may lead to improved ACS recognition rates and better patient outcomes in Jordanian healthcare settings.

Exploring the causes and consequences of non-nursing tasks among nurses in Jordan: An in-depth qualitative investigation.

AIM: To investigate the perceptions of Jordanian nurses regarding Non-Nursing Tasks (NNTs) and their consequences, as well as the underlying factors that contribute to the occurrence of NNTs. BACKGROUND: Nurses play a crucial role in providing high-quality patient care, but they often engage in NNTs, which can hinder their ability to deliver care effectively. Western countries have primarily conducted research on NNTs, while Middle Eastern countries such as Jordan have received limited attention. Expanding our understanding of NNTs is essential for improving nursing care. METHODS: A qualitative-exploratory approach was adopted. The research was conducted at three hospitals in Amman, Jordan. A purposeful sampling approach was used to select the participant and a focus group-interview method was used to gather the data. The derived data were analyzed using a thematic analysis approach. RESULTS: The final sample of this study included 38 participants. The findings highlighted that nurses often perform NNTs due to staff shortages and limited resources, as well as weaknesses in nursing administration and education. The finding also highlights the consequences of NNTs on nurses' professional lives, including impaired nursing care, physical and mental health strain, and a lack of efficiency and productivity. CONCLUSIONS: The present study's results provide valuable insights into the impact of NNTs on nurses in Jordan. These findings underscore the need for healthcare stakeholders to actively address the issue of NNTs. It also emphasized the need for more explicit job descriptions and processes, along with support for nurses to fulfilling their responsibilities and prioritizing patient care.

Associated Factors Influencing Quality of Life and Knowledge Among Type 2 Diabetic Patients: A Cross-sectional Study.

BACKGROUND: The assessment of the quality of life (QoL) among type 2 diabetic patients is associated with different factors. Evidence shows that these patients usually suffer from a lack of knowledge about the disease, inadequate self-care, and low QoL. OBJECTIVE: The study aimed to assess knowledge of the QoL of type 2 diabetes patients and its possible associated factors. METHODS: This cross-sectional descriptive correlational study recruited type 2 diabetic patients conveniently from out-clinics to achieve the objective of the study. The Diabetes Quality of Life Brief Clinical Inventory (DQOL) and the Diabetes Knowledge Questionnaire 18 (DKQ-18) along with a demographic questionnaire were used for patient assessment. RESULTS: A total of 184 patients participated in the study. Patients' knowledge of diabetes was found to be low (8.57 out of 18), with no statistical differences between male and female participants (p=0.259). The average DQOL score was 2.87 out of 5, indicating moderate satisfaction and self-care behavior. DKQ-18 and DOQL were found to be correlated (r= 0.216, p=0.003). However, the patient's age was found to be a significant factor that influences patients' QoL (F=4.27, p=0.040), whereas patients' knowledge contributed weakly to the variation of QoL (F=1.70, p=0.084). CONCLUSION: Irrespective of knowledge and educational background, the patient's age is influential in enhancing better QoL among type 2 diabetic patients.

Diacritics: An Important Strategy for Proper Validation of the Arabic Version of the Critical Care Family Needs Inventory.

BACKGROUND AND PURPOSE: Researchers studied the needs of family members using different tools particularly the Critical Care Family Needs Inventory (CCFNI). The purpose of current study was to validate the Arabic version of the CCFNI. METHODS: A jury of experts helped establish content validity of best translated version. Live testing of the revised instrument with a sample of nurses and family members helped ensure its validity and internal consistency reliability. RESULTS: The Content Validity Index indicated an acceptable relevancy and clarity of the translated version. After introducing diacritic to wordings, clarity and readability were ensured by a pilot test with a sample of 22 critical care nurses and 21 family members. Live testing the instrument asserted its discriminant validity where family members (n = 227) ranked total needs higher than nurses (n = 217) (t = 124.2 (df = 442), p < .001). CONCLUSION: After using of diacritics, the new modified Arabic version can be used confidently as a valid and reliable measure of family needs.