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Strategies to Enhance Knowledge and Practical Skills of Triage amongst Nurses Working in the Emergency Departments of Rural Hospitals in South Africa.

ABSTRACT: Purpose: Lack of knowledge and practical skills on triage remains a global problem, especially within rural hospitals, and very little is known about enhancing the knowledge and skills of emergency nursing staff in rural hospitals of South Africa. The objective was to describe the perceived strategies for enhancing knowledge and practices of triage among nurses working in the emergency departments (EDs) of rural hospitals in South Africa. Research methods: A descriptive qualitative research design was applied to achieve the research objective. A non-probability sampling method was applied to select 17 professional nurses from rural hospitals. An unstructured face-to-face interview method was used to collect data. Data collected were analyzed using Tesch's method of data analysis. Results: The study findings highlighted the academic needs of nurses working in the ED of rural hospitals. Two themes emerged from this study; (1) The consistent description of the importance of triage training for emergency unit staff, and (2) The description of measures to enhance triage practices amongst emergency unit staff. Findings indicated that triage knowledge and practice remains a challenge, but with formulated strategies like continuous training by workshops, refresher courses, and offering a training module on triage, evaluation of developed guidelines and benchmarks is often enhanced. Conclusions: The study describes the strategies to enhance the conversion of knowledge and practice of triage amongst nurses working in the ED of rural hospitals. The paper argues that the knowledge and practical skills of nurses working in ED are enhanced through the provision of continuous training as workshops, triage module, evaluating the developed guidelines to implement triage, and benchmarking with other hospitals.

SUBMITTER: Phukubye TA

PROVIDER: S-EPMC8122756 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundTurnover intention is a probability of an employee to leave the current institution within a certain period due to various factors. It is the strongest predictor of actual turnover expected to increase as the intention increases. Emergency Department (ED) nurses are especially vulnerable to high turnover because of their increased risk of developing burnout and compassion fatigue associated with the work environment. This study is aimed to assess nurses' intention to leave emergency departments and associated factors at selected governmental hospitals in Addis Ababa, Ethiopia.MethodsInstitutional based cross-sectional study was conducted on 102 nurses in three selected governmental hospitals, Addis Ababa from February 19 to March 31, 2018, using a structured pre-tested self-administered questionnaire. The logistic regression model was used and an adjusted odds ratio with a 95% confidence interval was calculated to identify associated factors.ResultA total of 102 respondents were involved with a response rate of 91.1%. Among them, 79 (77.5%) respondents had the intention to leave the current working unit of the emergency department or hospital. Significant predictive factors of nurses' intention to leave their institutions are educational status (adjusted odds ratio (OR) =4.700, 95% confidence interval (CI) = 1.033-50.772; p < 0.048), monthly income of less than 3145 Birr (adjusted OR = 6.05, 95% CI = 1.056-34.641; p < 0.043) and professional autonomy (adjusted OR = 0.191, 95% CI = 0.040-0.908; p < 0.037).ConclusionMore than 77% of the respondents have the intention to leave their current working place of the emergency unit. Educational status, monthly income, and autonomy were significantly associated with emergency nurses' turnover intention in three governmental hospitals. Emergency leaders and hospital managers should have made efforts to enhance nurses' decision making for patient care activities and shared decision overwork or unit related activities.

Project description:IntroductionAutism is a neurodevelopmental disorder that occurs in the early childhood period and is characterized by altered social interaction, communication problems, repetitive, and stereotyped behavior. Genetic, environmental, or physical risk factors are associated with prenatal, natal, or postnatal complications, leading to the development of autism spectrum disorders. Prompt diagnosis and management should be an integral component of the care provision in countries like Ethiopia.ObjectiveThis study aimed to assess knowledge of childhood autism among nurses working in governmental hospitals in Addis Ababa, Ethiopia.MethodsInstitutional based cross-sectional study design was used. The sample size was calculated using the single population proportion formula, and the final sample size was 360. Final study subjects were selected by using the simple random sampling method. Data were collected using structured self-administered questionnaires and were then coded and entered into Epi-data version 3.1 and exported to SPSS version 21 for analysis. Descriptive statistics were utilized to show frequencies and percentages, and analysis of variance was carried out to compute the association between the dependent and independent variables. Independent t-test was also done to see the association between dependent variables and independent variables with two means. A p-value of less than 0.05 was considered statistically significant.ResultsThe mean score for knowledge-related items was 8.79 ± 0.4. In this study, out of 331 nurses, 180 (54.35%) had good knowledge. Significant mean score difference was observed among age distribution (F-Ratio = 2.8, p-value = 0.04), level of education (F-ratio = 13.97, p < 0.001) and work experience (F-Ratio = 3.07 p-value = 0.017).ConclusionA significant gap was observed in the overall knowledge of childhood autism among nurses employed in the governmental hospitals of Addis Ababa. The respondents' knowledge level was significantly different among age group distributions, education levels, and work experience.

Project description:Several triage systems have been developed, but little is known about their performance in low-resource settings. Evaluating and comparing novel triage systems to existing triage scales provides essential information about their added value, reliability, safety, and effectiveness before adoption. This study included children aged < 15 years who presented to the emergency departments of two public hospitals in Kenya between February and December 2021. We compared the performance of Emergency Triage Assessment and Treatment (ETAT) guidelines and Smart Triage (ST) models (ST model with independent triggers, and recalibrated ST model with independent triggers) in categorizing children into emergency, priority, and non-urgent triage categories. Sankey diagrams were used to visualize the distribution of children into similar or different triage categories by ETAT and ST models. Sensitivity, specificity, negative and positive predictive values for mortality and admission were calculated. 5618 children were enrolled, and the majority (3113, 55.4%) were aged between one and five years of age. Overall admission and mortality rates were 7% and 0.9%, respectively. ETAT classified 513 (9.2%) children into the emergency category compared to 1163 (20.8%) and 1161 (20.7%) by the ST model with independent triggers and recalibrated model with independent triggers, respectively. ETAT categorized 3089 (55.1%) children as non-urgent compared to 2097 (37.4%) and 2617 (46.7%) for the respective ST models. ETAT classified 191/395 (48.4%) admitted patients as emergencies compared to more than half by all the ST models. ETAT and ST models classified 25/49 (51%) and 39/49 (79.6%) deceased children as emergencies. Sensitivity for admission and mortality was 48.4% and 51% for ETAT and 74.9% and 79.6% for the ST models, respectively. Smart Triage shows potential for identifying critically ill children in low-resource settings, particularly when combined with independent triggers and performs comparably to ETAT. Evaluation of Smart Triage in other contexts and comparison to other triage systems is required.

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Strategies to Enhance Knowledge and Practical Skills of Triage amongst Nurses Working in the Emergency Departments of Rural Hospitals in South Africa.

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