Dataset Information

Factors correlating with prolonged fatigue among emergency department nurses.

ABSTRACT:

Background

Fatigue affects nurses negatively and leads to physical, cognitive and emotional problems that may influence nurses' quality of life. However, there is a lack of studies about prolonged fatigue and its relationship with socio-demographic characteristics and job-related psychosocial factors among nurses, especially emergency nurses, worldwide and in Jordan.

Aims

This study aims to assess the relationship between demographic factors, physical health, psychological distress and job-related psychosocial factors (psychological job demands, job control and social support) and prolonged fatigue among emergency department nurses in Jordan.

Methods

A descriptive correlational study using a convenience sample was used to recruit 153 emergency nurses. Physical health Questionnaire, General Health Questionnaire, Job Content Questionnaire and Checklist Individual Strength were used.

Results

The majority of emergency nurses experienced abnormally prolonged fatigue, moderate health, high psychological distress, high job demands and low job control and social support. Significant negative relationships were addressed between job control, social support and prolonged fatigue, whereas income had a negative weak relationship. Psychological distress and job demands had a positive weak relationship with prolonged fatigue. There was a significant positive weak relationship between psychological distress, job demands and prolonged fatigue. Job-related psychosocial factors (with exception of social support) and mental health were the predictors of prolonged fatigue.

Conclusions

Prolonged fatigue is a multidimensional phenomenon that can be affected by several factors such as job-related psychosocial factors and psychological health. These factors should be taken into consideration when testing and developing interventions to minimise prolonged fatigue among emergency nurses.

SUBMITTER: Al-Abdallah AM

PROVIDER: S-EPMC7932309 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundA prolonged length of stay in an emergency department is related to lower quality of care and adverse outcomes, which are often linked with overcrowding.ObjectiveExamine the influence of demographic factors on prolonged length of stay in the emergency department.MethodsThis study used a cross-sectional design. It used secondary data for all patients admitted during the specific duration at the emergency department of a governmental hospital in Saudi Arabia. The independent variables were gender, age, disposition status, shift time, and clinical acuity (CTAS) level while the dependent variable was prolonged length of stay.ResultsThe study shows that 30% of patients stay at the emergency department for four hours or more. The results also show a significant association between demographic factors which are age, gender, disposition status, shift time, clinical acuity (CTAS) level and prolonged length of stay in an emergency department. Based on the results males are more likely to stay in the emergency department than females (OR = 1.20; 95% CI = 1.04 to 1.38). Patients aged 60 and older are less likely to stay in the emergency department than patients aged 29 or smaller (OR = 0.58; 95% CI = 0.39 to 0.84). According to disposition status discharged patients after examination stays in the emergency department more than admitted patients after the examination (OR = 2.78; 95% CI = 1.67 to 4.99). Patients who come to the night shift are less likely to stay in the emergency department than patients who come in the morning shift (OR = 0.67; 95% CI = 0.56 to 0.81). Patients who are classified in level three of CTAS are less likely to stay in the emergency department than patients who are classified in level one (OR = 0.28; 95% CI = 0.88 to 0.023).ConclusionDemographic factors such as age, gender, shift time, disposition status and clinical acuity (CTAS) were important factors that needed to be considered to reduce the length of stay of patients in the emergency department. it is possible to formulate a machine learning model to predict the anticipated length of stay in the hospital for each patient. This prediction with an accepted margin of uncertainty will help the clinicians to communicate the evidence-based anticipated length of stay with the patient's caregivers. In addition, hospital managers need to provide the emergency department with enough staff and materials to reduce the length of stay of patients.

Project description:Study objectiveTo assess the association of patient and organisational factors with emergency department length of stay (ED-LOS) in elderly ED patients (226565 years old) and in younger patients (<65 years old).MethodsA retrospective cohort study of internal medicine patients visiting the emergency department between September 1st 2010 and August 31st 2011 was performed. All emergency department visits by internal medicine patients 226565 years old and a random sample of internal medicine patients <65 years old were included. Organisational factors were defined as non-medical factors. ED-LOS is defined as the time between ED arrival and ED discharge or admission. Prolonged ED-LOS is defined as ≥75th percentile of ED-LOS in the study population, which was 208 minutes.ResultsData on 1782 emergency department visits by elderly patients and 597 emergency department visits by younger patients were analysed. Prolonged ED-LOS in elderly patients was associated with three organisational factors: >1 consultation during the emergency department visit (odds ratio (OR) 3.2, 95% confidence interval (CI) 2.3-4.3), a higher number of diagnostic tests (OR 1.2, 95% CI 1.16-1.33) and evaluation by a medical student or non-trainee resident compared with a medical specialist (OR 4.2, 95% CI 2.0-8.8 and OR 2.3, 95% CI 1.4-3.9). In younger patients, prolonged ED-LOS was associated with >1 consultation (OR 2.6, 95% CI 1.4-4.6). Factors associated with shorter ED-LOS were arrival during nights or weekends as well as a high urgency level in elderly patients and self-referral in younger patients.ConclusionOrganisational factors, such as a higher number of consultations and tests in the emergency department and a lower seniority of the physician, were the main aspects associated with prolonged ED-LOS in elderly patients. Optimisation of the organisation and coordination of emergency care is important to accommodate the needs of the continuously growing number of elderly patients in a better way.

Project description:Information about recruitment and retention factors and quality of work life (QWL) in rural emergency departments (EDs) is limited. A pilot study was used to determine the feasibility of a large-scale study of these variables in Quebec EDs.Two EDs, approximately 10,000 and 30,000 patients per year respectively, were selected as convenience samples. An online survey containing the Quality of Work Life Systemic Inventory (QWLSI; 34 items) and the Recruitment and Retention Factors Questionnaire (39 items) was sent to ED nurses and physicians of these two EDs. Descriptive statistics of percentage, mean and standard deviation and correlations were used to analyse the data.Forty out of 64 eligible workers (62%) gave their consent to participate, but only 20 had completed both questionnaires. Participants' mean age was 42 years (SD = 11.6). The average participants satisfaction with their access to continuing education was low (Mean = 1.6, SD = 0.8). However, their satisfaction with technical resources (Mean = 2.4, SD = 0.7), pre-hospital and inter-hospital transfer services (Mean = 2.5, SD = 0.6), relationships with colleagues (Mean = 2.7, SD = 0.6) and managers (Mean = 2.2, SD = 0.7), work-life balance (Mean = 2.4, SD = 0.6) and emergency patient access to other departments (Mean = 3.7, SD = 0.6) was in the average. The impact of several aspects of the rural environment (e.g. tranquility) on quality of life was also in the average (Mean = 2.5, SD = 0.7). QWL was in the average, excepted subscale 'support offered to employee' for which the QWL was lower.Data collection was difficult and the larger study will require strategies to improve recruitment such as a paper alternative. The study showed globally good recruitment and retention factors and QWL for these ED nurses and physicians. These results will help hospital administrations better plan initiatives aimed at improving retention and QWL.

Project description:BackgroundProlonged length of stay at the emergency department interferes with the main goal of emergency care and results in adverse patient outcomes like nosocomial infection, dissatisfaction, morbidity, and mortality. Despite this, little is known about the length of stay and the factors that influence it in Ethiopia's emergency department.MethodsAn institution-based cross-sectional study was conducted on 495 patients admitted at Amhara region comprehensive specialized hospitals emergency department from May 14 to June 15/2022. A systematic random sampling was employed to select study participants. A pretested structured interview-based questionnaire was used to collect data by using Kobo toolbox software. SPSS version 25 was used for data analysis. Bi-variable logistic regression analysis was carried out to select variables with P-value < 0.25. The significance of association was interpreted using an Adjusted Odds Ratio with a 95% confidence interval. Variables with P-value < 0.05 in the multivariable logistic regression analysis were inferred to be significantly associated with length of stay.ResultOut of 512 enrolled participants, 495 were participated with a response rate of 96.7%. The prevalence of prolonged length of stay in the adult emergency department was 46.5% (95%CI: 42.1, 51.1). Lack of insurance (AOR: 2.11; 95% CI: 1.22, 3.65), non-communicative presentation (AOR: 1.98; 95% CI: 1.07, 3.68), delayed consultation (AOR: 9.5; 95% CI: 5.00, 18.03), overcrowding (AOR: 4.98; 95% CI: 2.13, 11.68), and shift change experience (AOR: 3.67; 95% CI: 1.30, 10.37) were significantly associated with prolonged length of stay.ConclusionThe result of this study is found to be high based on Ethiopian target emergency department patient length of stay. Lack of insurance, presentation without communication, delayed consultation, overcrowding, and shift change experience were significant factors for prolonged emergency department length of stay. Therefore, interventions like expansion of organizational setup are needed to decrease the length of stay to an acceptable level.