South African Triage Scale Research Articles

Nurses’ Perception on the Hindrances of Triage System in Emergency Unit

Background: Despite the fact that several triage tools have been implemented globally, emergency care, including the triage system, is often one of the weakest parts of the health system in developing countries, as compared to developed countries. Moreover, emergency centers in African countries are very busy, often flooded by high load of trauma patients, chronic medical conditions, acute medical emergencies, and HIV‐related conditions. These disease conditions precipitate the reasons for the prioritization of patients. In South Africa, studies conducted on the use of triage by nurses revealed that most patients are satisfied with the Nurse‐led triage service provided in emergency departments (EDs). At the same time, some Nurses also see the South African Triage Scale (SATS) as one of the easiest Nurse‐led triage tools.Aim: The study aimed at identifying the factors hindering the effective process of triage during care provision at a selected public hospital in KwaZulu‐Natal (KZN).Methods: This study utilized a cross‐sectional survey, employing a nonprobability convenience sampling to recruit its respondents. The recognition primed decision model formed the framework of the study. Ethical clearance was obtained from the University of KwaZulu‐Natal Ethics Review Board, and ethics principles were carefully observed throughout the study.Results: Out of the 100 respondents, 89% (89) of the respondents perceived that various factors still impede the progress of triage, while 11% (11) of the respondents perceived that no factor impedes the progress of triage.Conclusion: The study indicates that several factors still hinder the effective process of triage. Based on the findings of the study, factors like overcrowding, Nurses waiting for doctors when they know what to do, lack of continuous professional development on triage system, inadequate experience, lack of confidence, and lack of adequate training on triage still impede the efficient triage system.

Impact of the Soweto football derby on the trauma emergency department at Chris Hani Baragwanath Academic Hospital, a tertiary level hospital in South Africa.

The Soweto Derby is one of Africa's largest football derbies. The two rival teams, Kaizer Chiefs and Orlando Pirates, both originate in Soweto, a sprawling township 20km outside Johannesburg. Soweto is infamous for the high levels of violent crime and trauma, but also for Chris Hani Baragwanath Academic Hospital (CHBAH), with one of the world's largest trauma emergency departments (ED). Research globally, describing the impact of sports events on public health care systems is conflicting, with evidence showing both increases and decreases in spectator related trauma. This paper seeks to describe the trauma burden during the Soweto Derby and add to the research concerning trauma relating to sporting derbies in low to middle income countries. To analyze the impact of the Soweto Derby on the trauma ED at CHBAH over a 24-hour period. A retrospective comparative study at the CHBAH Trauma ED of 13 Soweto Derbies played over a 5 year period between 2015-2019, compared to the corresponding non-Soweto Derby days of the preceding year. Patients were triaged according to the South African Triage Scale and Advanced Trauma Life Support (ATLS) principles. Data was organized into 3 time frames where the triage score and mechanism of injuries were compared: 1) 4 hours pre-match, 2) 2 hours during the match, and 3) 18 hours post-match. Thirteen Soweto Derbies and 2552 patients were included. The median age was 29 with males accounting for 73.4% of all trauma cases. Significantly more P1 patients presented during the Soweto Derby. Pre-match there were 3x less P1 patients presenting to the ED (4.7% vs 12%, p = 0.044). During the match, there was a 40% drop in males presenting to ED (5.95% vs 9.45%, p = 0.015). Post-match there was a significant increase in P1 patients treated (17.4% vs 13.5%, p = 0.021)), with the majority being young males. There was no increase in either female or paediatric visits to the ED. The Soweto Derby has a direct effect on the trauma burden at CHBAH, with more P1 patients presenting post-match. Young African males are disproportionally affected by severe trauma requiring increased health care resources in an already overburdened hospital.

The value of shock index, modified shock index and age shock index to predict mortality and hospitalisation in a district level emergency centre

IntroductionTriage is the most important step in patients’ journey through an Emergency Centre (EC) and directly impacts time to critical actions. Triage tools, like the South African Triage Scale, are however not designed to predict patient outcomes. The shock index (SI), modified shock index (MSI) and age shock index (ASI) are clinical markers derived from vital signs and correlate with tissue perfusion in critically ill patients. This study aimed to assess the value of SI, MSI and ASI to predict mortality and the need for hospitalisation in all adult patients presenting to a district level emergency centre in South Africa. MethodsThis diagnostic study was performed as a retrospective observational study, using data from an existing electronic registry at a district level hospital emergency centre over a period of 24 months. All adult patients who presented to Mitchells Plain Hospital were eligible for inclusion. Sensitivity, specificity and likelihood ratios were calculated for each variable as a predictor of mortality and hospitalisation with pre-determined thresholds. ResultsDuring the study period of 24 months, a total of 61 329 patients ≥ 18 years old presented to the EC with 60 599 included in the final sample. A red SATS triage category (+LR = 7.2) and SI ≥1.3 (+LR = 4.9) were the only two predictors with any significant clinical value. The same two markers performed well for both patients with and without trauma and specifically for patients who died while under the care of the emergency centre. DiscussionThe study demonstrated that patients with a SI≥1.3 at triage have a significantly higher likelihood to die or require hospitalisation, whether the presenting complaint is trauma related or not, especially to predict mortality while under the care of the EC. Incorporating this marker as a triage alert could expedite the identification of patients requiring time critical interventions and improve patient throughput in the emergency centre.

Validation of a modified South African triage scale in a high-resource setting: a retrospective cohort study

BackgroundTriage systems are widely used in emergency departments, but are not always validated. The South African Triage Scale (SATS) has mainly been studied in resource-limited settings. The aim of this study was to determine the validity of a modified version of the SATS for the general population of patients admitted to an ED at a tertiary hospital in a high-income country. The secondary objective was to study the triage performance according to age and patient categories.MethodsWe conducted a retrospective cohort study of patients presenting to the Emergency Department of Haukeland University Hospital in Norway during a four-year period. We used short-term mortality, ICU admission, and the need for immediate surgery and other interventions as the primary endpoints.ResultsA total of 162,034 emergency department visits were included in the analysis. The negative predictive value of a low triage level to exclude severe illness was 99.1% (95% confidence interval: 99.0–99.2%). The level of overtriage, defined as the proportion of patients assigned to a high triage level who were not admitted to the hospital, was 4.1% (3.9–4.2%). Receiver operating characteristic (ROC) curves showed an area under the ROC for the detection of severe illness of 0.874 (95% confidence interval: 0.870–0.879) for all patients and 0.856 (0.837–0.875), 0.884 (0.878–0.890) and 0.869 (0.862–0.876) for children, adults and elderly individuals respectively.ConclusionWe found that the modified SATS had a good sensitivity to identify short-term mortality, ICU admission, and the need for rapid surgery and other interventions. The sensitivity was higher in adults than in children and higher in medical patients than in surgical patients. The over- and undertriage rates were acceptable.

Factors associated with health care seeking behaviour: A cross-sectional study at an emergency department in a teaching hospital

BACKGROUNDEmergent conditions are time-sensitive and delays in receiving emergency care can cause mortality and morbidity. Different healthcare-seeking behaviours (HSB) are influenced by several factors which impact choices in seeking healthcare. This study aimed to determine the factors associated with HSB among patients admitted to the Emergency Department of Korle Bu Teaching Hospital (KBTH).METHODOLOGYThis was a cross-sectional study among patients admitted at the Accident and Emergency Centre of KBTH from May to June 2020 using the quantitative approach in data collection. Simple random sampling was used to select 400 participants who met the inclusion criteria after which the questionnaires were administered. Participants were assessed on their HSB based on Andersen's Behavioural Model of Health. Pearson's chi-square test was used to assess the association between categorical independent variables and the HSB of patients while Welch’s t-test was used to compare means of triage vital signs at admission between patients who sought formal and informal care. All factors significant from Pearson's chi-square test were introduced into the binary logistic regression model. P-values less than 0.05 were considered statistically significant in this study.RESULTSOf the 400 respondents interviewed, the mean age was 51 years with 56.5% being women. The majority of respondents (61.50%) sought formal health care as their initial action when sick whiles the remaining sought informal care. The adjusted odds for seeking formal health care were higher among patients who self-rated their illness as severe, those who travelled more than 30 minutes to the nearest health facility and those who were classified as red according to South African Triage Scale (SATS).CONCLUSIONSelf-rating of the severity of illness, distance to health facility and patient classification as red by SATS were significant factors associated with healthcare-seeking behaviour. Knowledge about the factors associated with healthcare-seeking behaviour is vital for health education and health promotion campaigns towards appropriate health care seeking behaviour.

Comparison of the novel WEst coast System for Triage (WEST) with Rapid Emergency Triage and Treatment System (RETTS©): an observational pilot study

BackgroundMost Swedish emergency departments (ED) use the triage system Rapid Emergency Triage and Treatment System (RETTS©), which over time has proven to prioritize patients to higher triage levels. When many patients are prioritized to high triage levels, challenges with identifying true high-risk patients and increased waiting time for these patients has emerged. In order to achieve a more balanced triage in relation to actual medical risk, the triage system WEst coast System for Triage (WEST) was developed, based on the South African Triage Scale (SATS). The aim of this study was to perform an initial evaluation of the novel emergency triage system WEST compared to the existing RETTS©.MethodsBoth RETTS© and WEST are five level triage systems illustrated by colors. Nurses from each of the three adult EDs of Sahlgrenska University Hospital in Gothenburg and the ambulance service assessed and triaged 1510 patients according to RETTS© and immediately thereafter filled out the WEST triage form. Data from each triage report were analyzed and grouped according to the triage color, chief complaint, and outcome of each patient. Data on discharge categories and events within 72 h were also collected. Data were analyzed with descriptive statistical methods.ResultsIn general, WEST displayed lower levels of prioritization compared to RETTS©, with no observed impact on patients’ medical outcomes. In RETTS© orange triage level, approximately 50% of the patients were down prioritized in WEST to yellow or green triage levels. Also, in the RETTS© yellow triage level, more than 55% were down prioritized to green triage level in WEST. The number of patients who experienced a serious event during the first 72 h was few. Three patients died, these were all prioritized to red triage level in RETTS©. In WEST two of these patients were prioritized to red triage level and one to orange triage level. All these patients were admitted to hospital before deterioration.ConclusionsWEST may reduce over prioritization at the ED, especially in the orange and yellow triage levels of RETTS©, with no observed increase in medical risk. WEST can be recommended for a clinical comparative study.

Implementation of the South African Triage Scale (SATS) in a New Ambulance System in Beira, Mozambique: A Retrospective Observational Study.

In 2019, an urban ambulance system was deployed in the city of Beira, Mozambique to refer patients from peripheral health centres (HCs) to the only hospital of the city (Beira Central Hospital—HCB). Initially, the system worked following a first-in–first-out approach, thus leading to referrals not based on severity condition. With the aim of improving the process, the South African Triage Scale (SATS) has been subsequently introduced in three HCs. In this study, we assessed the impact of SATS implementation on the selection process and the accuracy of triage performed by nurses. We assessed 552 and 1608 referral charts from before and after SATS implementation, respectively, and we retrospectively calculated codes. We compared the expected referred patients’ codes from the two phases, and nurse-assigned codes to the expected ones. The proportion of referred orange and red codes significantly increased (+12.2% and +12.9%) while the proportion of green and yellow codes decreased (−18.7% and −5.8%). The overall rates of accuracy, and under- and overtriage were 34.2%, 36.3%, and 29.5%, respectively. The implementation of SATS modified the pattern of referred patients and increased the number of severe cases receiving advanced medical care at HCB. While nurses’ accuracy improved with the routine use of the protocol, the observed rates of incorrect triage suggest that further research is needed to identify factors affecting SATS application in this setting.

Implementing a new emergency medical triage tool in one health region in Norway: some lessons learned.

BackgroundAcutely sick or injured patients depend on ambulance and emergency department personnel performing an accurate initial assessment and prioritisation (triage) to effectively identify patients in need of immediate treatment. Triage also ensures that each patient receives fair initial assessment. To improve the patient safety, quality of care, and communication about a patient’s medical condition, we implemented a new triage tool (the South African Triage Scale Norway (SATS-N) in all the ambulance services and emergency departments in one health region in Norway. This article describes the lessons we learnt during this implementation process.MethodsThe main framework in this quality improvement (QI) work was the plan–do–study–act cycle. Additional process sources were ‘The Institute for Healthcare Improvement Model for improvement’ and the Norwegian Patient Safety Programme.ResultsBased on the QI process as a whole, we defined subjects influencing this work to be successful, such as identifying areas for improvement, establishing multidisciplinary teams, coaching, implementing measurements and securing sustainability. After these subjects were connected to the relevant challenges and desired effects, we described the lessons we learnt during this comprehensive QI process.ConclusionWe learnt the importance of following a structured framework for QI process during the implementation of the SATS-N triage tool. Furthermore, securing anchoring at all levels, from the managements to the medical professionals in direct patient-orientated work, was relevant important. Moreover, establishing multidisciplinary teams with ambulance personnel, emergency department nurses and doctors with various medical specialties provided ownership to the participants. Meanwhile, coaching provided necessary security for the staff directly involved in caring for patients. Keeping the spirit and perseverance high were important factors in completing the implementation. Establishment of the regional network group was found to be important for sustainability and further improvements.

The accuracy of nurse-led triage of adult patients in the emergency centre of urban private hospitals.

Background: Triage is applied in emergency centres (ECs) to assign degrees of urgency to illnesses or injuries to decide in which order to treat patients, especially when there are many patients or casualties, facilitating the allocation of scarce medical resources. A triage nurse determines triage priority by assessing patients using an established triage tool with specific criteria. The South African Triage Scale is widely used in South African ECs. Although the South African Triage Scale has been adopted and implemented in both private and public healthcare ECs in South Africa, few studies have assessed the accuracy of nurse-led triage in private ECs.Aim: To determine the accuracy of nurse-led triage in ECs in urban, private hospitals.Methods: A quantitative, descriptive, retrospective study was done. Three private hospitals with similar average patient volumes were purposively selected. We sampled the nursing notes as follows: 1) we stratified nursing notes by nurse qualification and then 2) for each category of nurse we stratified nursing notes according to triage priority level and 3) then systematically randomly selected the recommended number of notes from each triage priority level for each nurse category. We retrospectively audited 389 EC nursing notes to determine the accuracy of nurse-led triage. For each note, we independently applied the South African Triage Scale, and then determined agreement between our score and the score determined by the triage nurse.Results: We recorded 342 triage errors, consisting of triage early warning scores (TEWS) errors (n = 168), discriminator errors (n = 97) and additional investigation errors (n = 77). Overall agreement between the triage nurses and our scores was 71.7% (n = 279). Triage errors (n = 110) consisted of 3.9% (n = 15) over-triage errors and 24.4% (n = 95) under-triage errors. The highest level of agreement was between our scores and the scores of the emergency trained registered nurses (85%) and enrolled nursing assistants (78%).Conclusion: In South African ECs, the South African Triage Scale is not always correctly applied, which can lead to almost a quarter (24.4%) of cases being under-triaged and not receiving timeous care. Our results suggest that emergency trained registered nurses are well equipped to be triage nurses, and that this skill should be developed in South African nursing curricula.

Association between triage level and outcomes at Médecins Sans Frontières trauma hospital in Kunduz, Afghanistan, 2015

BackgroundFive million people die annually due to injuries; an increasing part is due to armed conflict in low-income and middle-income countries, demanding resolute emergency trauma care. In Afghanistan, a low-income...

A descriptive study of demographics, triage allocations and patient outcomes at a private emergency centre in Pretoria.

BackgroundTriage aims to detect critically ill patients and to prioritise those with time-sensitive needs, whilst contributing to the efficiency of an emergency centre (EC). International systems have been relatively well researched; however, little data exists on the use of the South African Triage Scale (SATS) in private healthcare settings in South Africa (SA).MethodsA retrospective descriptive study was undertaken. Data relating to demographics, application of triage, time in EC and disposition were collected on all patients presenting to the EC from 1st January to 31st December 2018.ResultsA total of 29 055 patients’ data were included. The mean age was 41 years. Most patients were triaged yellow (73.5%); 17.4% were triaged as red and orange. Patients were seen by a doctor in a mean time of 28 min. Delays to be seen exceeded standards for red and orange patients at 8 min and 18 min, respectively. Most patients (76.1%) were discharged; 5.6% were admitted to intensive care unit (ICU)/high care, and 14.4% to general wards. Of patients triaged red and orange, 11.1% and 49.3% were discharged, respectively, whereas 81.7% of yellow patients were discharged home.ConclusionThis study found that most patients were triaged into low acuity categories and were discharged home. High acuity patients were usually admitted to ICU/high care; however, these patients experienced delays in receiving treatment. The causes of these issues, and the implications, remain unknown. Large numbers of high acuity patients were discharged home. Further studies are needed to understand the influence of triage accuracy on these patients’ outcomes.

Using the South African Triage Scale for prehospital triage: a qualitative study

BackgroundTriage is a critical component of prehospital emergency care. Effective triage of patients allows them to receive appropriate care and to judiciously use personnel and hospital resources. In many low-resource settings prehospital triage serves an additional role of determining the level of destination facility. In South Africa, the Western Cape Government innovatively implemented the South African Triage Scale (SATS) in the public Emergency Medical Services (EMS) service in 2012. The prehospital provider perspectives and experiences of using SATS in the field have not been previously studied.MethodsIn this qualitative study, focus group discussions with cohorts of basic, intermediate and advanced life support prehospital providers were conducted and transcribed. A content analysis using an inductive approach was used to code transcripts and identify themes.Results15 EMS providers participated in three focus group discussions. Data saturation was reached and four major themes emerged from the qualitative analysis: Implementation and use of SATS; Effectiveness of SATS; Limitations of the discriminator; and Special EMS considerations. Participants overall felt that SATS was easy to use and allowed improved communication with hospital providers during patient handover. Participants, however, described many clinical cases when their clinical gestalt triaged the patient to a different clinical acuity than generated by SATS. Additionally, they stated many clinical discriminators were too subjective to effectively apply or covered too broad a range of clinical severity (e.g., ingestions). Participants provided examples of how the prehospital environment presents additional challenges to using SATS such as changing patient clinical conditions, transport times and social needs of patients.ConclusionsOverall, participants felt that SATS was an effective tool in prehospital emergency care. However, they described many clinical scenarios where SATS was in conflict with their own assessment, the clinical care needs of the patient or the available prehospital and hospital resources. Many of the identified challenges to using SATS in the prehospital environment could be improved with small changes to SATS and provider re-training.

Assessment of the patients’ outcomes after implementation of South African triage scale in emergency department, Egypt

PurposeOvercrowding in emergency department (ED) is a concerning global problem and has been identified as a national crisis in some countries. Several emergency sorting systems designed successfully in the world. Launched in 2004, a group of branches in South African triage scale (SATS) developed. The effectiveness of the case sorting system of SATS was evaluated to reduce the patient's length of stay (LOS) and mortality rate within the ED at Suez Canal University Hospital. MethodsThe study was designed as an intervention study that included a systematic random sample of patients who presented to the ED in Suez Canal University Hospital. This study was implemented in three phases: pre-intervention phase, 115 patients were assessed by the traditional protocols; intervention phase, a structured training program was provided to the ED staff, including a workshop and lectures; and post-intervention phase, 230 patients were assessed by SATS. All the patients were retriaged 2 h later, calculating the LOS per patient and the mortality. Data was collected and entered using Microsoft Excel software. Collected data from the triage sheet were analyzed using the SPSS software program version 22.0. ResultsThe LOS in the ED was about 183.78 min before the intervention; while after the training program and the application of SATS, it was reduced to 51.39 min. About 15.7% of the patients died before the intervention; however, after the intervention the ratio decreased to 10.7% deaths. ConclusionSATS is better at assessing patients without missing important data. Additionally, it resulted in a decrease in the LOS and reduction in the mortality rate compared to the traditional protocol.

What is the ideal triage process and the resources it requires?

What is the ideal triage process and the resources it requires?

Validity and reliability of the South African Triage Scale in prehospital providers

BackgroundThe South African Triage Scale (SATS) is a validated in-hospital triage tool that has been innovatively adopted for use in the prehospital setting by Western Cape Government (WCG) Emergency Medical Services (EMS) in South Africa. The performance of SATS by EMS providers has not been formally assessed. The study sought to assess the validity and reliability of SATS when used by WCG EMS prehospital providers for single-patient triage.MethodsThis is a prospective, assessment-based validation study among WCG EMS providers from March to September 2017 in Cape Town, South Africa. Participants completed an assessment containing 50 clinical vignettes by calculating the three components — triage early warning score (TEWS), discriminators (pre-defined clinical conditions), and a final SATS triage color. Responses were scored against gold standard answers. Validity was assessed by calculating over- and under-triage rates compared to gold standard. Inter-rater reliability was assessed by calculating agreement among EMS providers’ responses.ResultsA total of 102 EMS providers completed the assessment. The final SATS triage color was accurately determined in 56.5%, under-triaged in 29.5%, and over-triaged in 13.1% of vignette responses. TEWS was calculated correctly in 42.6% of vignettes, under-calculated in 45.0% and over-calculated in 10.9%. Discriminators were correctly identified in only 58.8% of vignettes. There was substantial inter-rater and gold standard agreement for both the TEWS component and final SATS color, but there was lower inter-rater agreement for clinical discriminators.ConclusionThis is the first assessment of SATS as used by EMS providers for prehospital triage. We found that SATS generally under-performed as a triage tool, mainly due to the clinical discriminators. We found good inter-rater reliability, but poor validity. The under-triage rate of 30% was higher than previous reports from the in-hospital setting. The over-triage rate of 13% was acceptable. Further clinically-based and qualitative studies are needed.Trial registrationNot applicable.

Two simple replacements for the Triage Early Warning Score to facilitate the South African Triage Scale in low resource settings.

BackgroundThe South African Triage Scale (SATS) requires the calculation of the Triage Early Warning Score (TEWS), which takes time and is prone to error.Aimto derive and validate triage scores from a clinical database collected in a low-resource hospital in sub-Saharan Africa over four years and compare them with the ability of TEWS to triage patients.MethodsA retrospective observational study carried out in Kitovu Hospital, Masaka, Uganda as part of an ongoing quality improvement project. Data collected on 4482 patients was divided into two equal cohorts: one for the derivation of scores by logistic regression and the other for their validation.ResultsTwo scores identified the largest number of patients with the lowest in-hospital mortality. A score based on oxygen saturation, mental status and mobility had a c statistic for discrimination of 0.83 (95% CI 0.079–0.87) in the derivation, and 0.81 (95% CI 0.77–0.86) in the validation cohort. Another score based on respiratory rate, mental status and mobility had a c statistic of 0.82 (95% CI 0.078–0.87) in the derivation, and 0.81 (95% CI 0.77–0.86) in the validation cohort. The oxygen saturation-based score of zero points identified 51% of patients in the derivation cohort who had in-hospital mortality rate of 0.5%, and 49% of patients in the validation cohort who had in-hospital mortality of 1.0%. A respiratory rate-based score of zero points identified 45% in the derivation cohort who had in-hospital mortality rate of 0.5%, and 44% of patients in the validation cohort who had in-hospital mortality of 0.8%. Both scores had comparable performance to TEWS.ConclusionTwo easy to calculate scores have comparable performance to TEWS and, therefore, could replace it to facilitate the adoption of SATS in low-resource settings.

Pre-hospital over-triage and potential contributing factors in Cape Town, South Africa

Background: Inappropriate dispatch of urgent ambulances by call-centre personnel causes an unnecessary drain on existing resources. How often these urgent dispatches are appropriate has not been evaluated in the lower-middle-income setting, nor have factors been assessed that contribute to these decisions. This study aimed to establish the rates of pre-hospital over-triage in Cape Town, South Africa, and to assess the call-centre decision-making processes. Methods: This was a descriptive, retrospective study examining all urgent ambulance dispatches made from a large public sector ambulance call centre in Cape Town over a single month. This urgent dispatch was then compared to the on-scene South African Triage Scale (SATS) score assigned by the pre-hospital personnel to assess which cases were ‘over-triaged’ by the call taker. Factors potentially contributing to the call taker’s decision were also analysed and included the time of day, nature of presenting complaint, and the call taker’s training and experience – all of which may have affected the rates of over-triage. Results: In the course of one month in 2017, 4,169 urgent calls were assessed; of these, 2,701 were over-triaged (58.48%). The over-triage rate was similar during the day (58.02%) and night (59.11%). The most regularly over-triaged complaint was obstetric and gynaecological (84.87%), followed by motor vehicle accidents (65.70%); the lowest rate was for cardiac call-outs (47.12%). We reviewed the 38 highest workload call takers, and found no statistically significant factors that contributed to higher levels of over-triage when reviewing higher levels of training (Ambulance Emergency Assistant 62.16%, no medical training 59.42%; p=0.669), more years as a call taker ( 5 years 60.23%; p=0.932), and more years working in the field (0 years 59.36%, > 5 years 63.66%; p=0.305). Conclusion: The rates of pre-hospital over-triage in Cape Town are marginally lower than those described internationally. The nature of the complaint had a strong impact on these rates, notably in terms of trauma and gynaecological disorders. The call taker’s training and years of experience did not have a statistically significant impact on decision-making.

Implementing a triage tool to improve appropriateness of care for children coming to the emergency department in a small hospital in India

BackgroundIn 2015, senior consultants at Sitaram Bhartia Institute of Science and Research saw several sick children in their outpatient clinics for which they had been seen in the emergency department...

What presents to a rural district emergency department: A case mix.

BackgroundThere is little information available on the range of conditions presenting to generalist run rural district hospital emergency departments (EDs) which are the first point of acute care for many South Africans.AimThis study aims to assess the range of acute presentations as well as the types of procedures required by patients in a rural district hospital context.SettingZithulele is a 147-bed district hospital in rural Eastern Cape.MethodsThis is a cross-sectional study assessing all patients presenting to the Zithulele hospital emergency department from 01 October 2015 to 31 December 2015. Data collected included the triage acuity using the South African Triage Scale system, patient demographics, diagnosis, outcome and procedures performed. Diagnoses were coded retrospectively according to the international statistical classification of diseases and related health problems version 10 (ICD 10).ResultsOf the 4 002 patients presenting to the ED during the study period, 2% were triaged as emergencies and 45% as non-urgent. The most common diagnostic categories were injuries, infections and respiratory illnesses respectively. Diagnoses from all broad categories of the ICD-10 were represented. 67% of patients required no procedure. Diagnostic procedures (n = 877) were more prevalent than therapeutic procedures (n = 377). Only 2.4% of patients were transferred to a referral centre acutely.ConclusionPatients with conditions from all categories of the ICD-10 present for management at rural district hospitals. Healthcare professionals working in this setting need to independently diagnose and manage a wide range of ED presentations and execute an assortment of procedures.

Comparison between Pediatric-Canadian Triage and Acuity Scale and South African Triage Scale Regarding Applicability and Outcome in the Pediatric Emergency Department, Suez Canal University Hospital

Background The triage system is a systematic approach to organize priority of treatment amongst patients attending emergency departments (EDs). A variety of triage systems are implemented in different hospitals with consideration of local settings such as available resources, patient capacity of each ED. The more popular triage systems with high reported validity and reliability rates in children include the Pediatric Canadian Triage and Acuity Scale (PaedCTAS) and the Pediatric South African Triage Scale (P-SATS). Aim Improve the management in the Pediatric Emergency Department (PED), Suez Canal University Hospital by applying a valid and reliable triage system. Patients and Methods This study was conducted as a prospective cohort, single-center study to determine the validity of PaedCTAS and P-SATS. The two triage systems were conducted by the researcher through a data collection sheet. The primary outcome measure to be analyzed was the proportion of hospitalization. Secondary outcomes to be analyzed was the percentage of patients admitted to the pediatric intensive care unit (PICU), the length of stay (LOS) in the PED ( Results PaedCTAS was slightly more accurate than P-SATS for triaging the patients attending the Pediatric Emergency Department, Suez Canal University Hospital as PaedCTAS performed better than P-SATS in prediction of PICU admission, LOS and mortality. However, regarding the prediction of admission P-SATS performed better. Conclusion Both paedCTAS and P-SATS are valid triage tools for patients attending the Pediatric Emergency Department, Suez Canal University Hospital with paedCTAS being slightly more accurate than P-SATS.