A Systematic Review of Cost-Effectiveness of Treating Out of Hospital Cardiac Arrest: Implications for Resource-limited Health Systems.

Background: Out-of-hospital cardiac arrest (OHCA) is a prevalent condition with high mortality and poor outcomes even in settings where extensive emergency care resources are available. Interventions to address OHCA have had limited success, with survival rates below 10% in national samples of high-income countries. In resource-limited settings, where scarcity requires careful priority setting, more data is needed to determine the optimal allocation of resources. Objective: To establish the cost-effectiveness of OHCA care and assess the affordability of interventions across income settings. Methods: The authors conducted a systematic review of economic evaluations on interventions to address OHCA. Included studies were (1) economic evaluations (beyond a simple costing exercise); and (2) assessed an intervention in the chain of survival for OHCA. Article quality was assessed using the CHEERs checklist and data summarised. Findings were reported by major themes identified by the reviewers. Based upon the results of the cost-effectiveness analyses we then conduct an analysis for the progressive realization of the OHCA chain of survival from the perspective of decision-makers facing resource constraints. Results: 468 unique articles were screened, and 46 articles were included for final data abstraction. Studies predominantly used a healthcare sector perspective, modeled for all patients experiencing non-traumatic cardiac OHCA, were based in the US, and presented results in US Dollars. No studies reported results or used model inputs from low-income settings. Progressive realization of the chain of survival could likely begin with investments in TOR protocols, professional prehospital defibrillator use, and CPR training followed by distribution of AEDs in high-density public locations. Finally, other interventions such as indiscriminate defibrillator placement or adrenaline use, would be the lowest priority for early investment. Conclusion: Our review found no high-quality evidence on the cost-effectiveness of treating OHCA in low-resource settings. Existing evidence can be utilized to develop a roadmap for the development of a cost-effective approach to OHCA care, however further economic evaluations using context-specific data are crucial to accurately inform prioritization of scarce resources within emergency care in these settings.

Patient Preferences for Out-of-Hospital Cardiac Arrest Care in South Africa: A Discrete Choice Experiment.

OBJECTIVE: This study examined the trade-offs low-resource setting community members were willing to make in regard to out-of-hospital cardiac arrest care using a discrete choice experiment survey. METHODS: We administered a discrete choice experiment survey to a sample of community members 18 years or older across South Africa between April and May 2022. Participants were presented with 18 paired choice tasks comprised of 5 attributes (distance to closest adequate facility, provider of care, response time, chances of survival, and transport cost) and a range of 3 to 5 levels. We used mixed logit models to evaluate respondents' preferences for selected attributes. RESULTS: Analyses were based on 2228 responses and 40 104 choice tasks. Patients valued care with the shortest response time, delivered by the highest qualified individuals, which placed them within the shortest distance of an adequate facility, gave them the highest chance of survival, and costed the least. In addition, patients preferred care delivered by their family members over care delivered by the lay public. The highest mean willingness-to-pay for increased survival is 11 699 South African rand (ZAR), followed by distance to health facility (8108 ZAR), and response time (5678 ZAR), and the lowest for increasing specialization of provider (1287 ZAR). CONCLUSIONS: In low-resource settings, it may align with patients' preference to include targeted resuscitation training for family members of individuals with high-risk for cardiac arrest as a part of out-of-hospital cardiac arrest intervention strategies.

Consensus-based quality standards for emergency departments in Palestine.

OBJECTIVES: The present study aimed to establish appropriate quality standards for emergency departments (EDQS) in Palestine. METHODS: The study comprised four phases. First, a comprehensive literature review was conducted to develop a framework for assessing healthcare services in EDs. Second, the initial set of EDQS was developed based on the review findings. Third, local experts provided feedback on the EDQS, suggesting additional standards, and giving recommendations. This feedback was analysed to create a preliminary set of EDQS. Finally, an expanded group of local emergency care experts evaluated the preliminary set, providing feedback on content and structure to contribute to the final set of EDQS. FINDINGS: We identified quality domains in EDs and categorised them into clinical and administrative pathways. The clinical pathway comprises 39 standards across 7 subdomains: triage, treatment, transportation, medication safety, patient flow and medical diagnostic services. Expert consensus was achieved on 87.5% of these standards. The administrative domain includes 64 consensus-based standards across 9 subdomains: documentation, information management systems, access-location, design, leadership, management, workforce staffing, training, equipment, supplies, capacity-resuscitation rooms, resources for a safe working environment, performance indicators and patient safety-infection prevention and control programmes. CONCLUSION: This study employed a rigorous approach to identify QS for EDs in Palestine. The multiphase consensus process ensured the appropriateness of the developed EDQS. Inclusion of diverse perspectives enriched the content. Future studies will validate and refine the standards based on feedback. The EDQS has potential to enhance emergency care in Palestine and serve as a model for other regions facing similar challenges.

Prognostic accuracy of eight triage scores in suspected COVID-19 in an Emergency Department low-income setting: An observational cohort study.

Introduction: Previous studies deriving and validating triage scores for patients with suspected COVID-19 in Emergency Department settings have been conducted in high- or middle-income settings. We assessed eight triage scores' accuracy for death or organ support in patients with suspected COVID-19 in Sudan. Methods: We conducted an observational cohort study using Covid-19 registry data from eight emergency unit isolation centres in Khartoum State, Sudan. We assessed performance of eight triage scores including: PRIEST, LMIC-PRIEST, NEWS2, TEWS, the WHO algorithm, CRB-65, Quick COVID-19 Severity Index and PMEWS in suspected COVID-19. A composite primary outcome included death, ventilation or ICU admission. Results: In total 874 (33.84 %, 95 % CI:32.04 % to 35.69 %) of 2,583 patients died, required intubation/non-invasive ventilation or HDU/ICU admission . All risk-stratification scores assessed had worse estimated discrimination in this setting, compared to studies conducted in higher-income settings: C-statistic range for primary outcome: 0.56-0.64. At previously recommended thresholds NEWS2, PRIEST and LMIC-PRIEST had high estimated sensitivities (≥0.95) for the primary outcome. However, the high baseline risk meant that low-risk patients identified at these thresholds still had a between 8 % and 17 % risk of death, ventilation or ICU admission. Conclusion: None of the triage scores assessed demonstrated sufficient accuracy to be used clinically. This is likely due to differences in the health care system and population (23 % of patients died) compared to higher-income settings in which the scores were developed. Risk-stratification scores developed in this setting are needed to provide the necessary accuracy to aid triage of patients with suspected COVID-19.

Individual characteristics associated with road traffic collisions and healthcare seeking in low- and middle-income countries and territories.

Incidence of road traffic collisions (RTCs), types of users involved, and healthcare requirement afterwards are essential information for efficient policy making. We analysed individual-level data from nationally representative surveys conducted in low- or middle-income countries (LMICs) between 2008-2019. We describe the weighted incidence of non-fatal RTC in the past 12 months, type of road user involved, and incidence of traffic injuries requiring medical attention. Multivariable logistic regressions were done to evaluate associated sociodemographic and economic characteristics, and alcohol use. Data were included from 90,790 individuals from 15 countries or territories. The non-fatal RTC incidence in participants aged 24-65 years was 5.2% (95% CI: 4.6-5.9), with significant differences dependent on country income status. Drivers, passengers, pedestrians and cyclists composed 37.2%, 40.3%, 11.3% and 11.2% of RTCs, respectively. The distribution of road user type varied with country income status, with divers increasing and cyclists decreasing with increasing country income status. Type of road users involved in RTCs also varied by the age and sex of the person involved, with a greater proportion of males than females involved as drivers, and a reverse pattern for pedestrians. In multivariable analysis, RTC incidence was associated with younger age, male sex, being single, and having achieved higher levels of education; there was no association with alcohol use. In a sensitivity analysis including respondents aged 18-64 years, results were similar, however, there was an association of RTC incidence with alcohol use. The incidence of injuries requiring medical attention was 1.8% (1.6-2.1). In multivariable analyses, requiring medical attention was associated with younger age, male sex, and higher wealth quintile. We found remarkable heterogeneity in RTC incidence, the type of road users involved, and the requirement for medical attention after injuries depending on country income status and socio-demographic characteristics. Targeted data-informed approaches are needed to prevent and manage RTCs.

Safety of Bioplasma FDP and Hemopure in rhesus macaques after 30% hemorrhage.

Objectives: Prehospital transfusion can be life-saving when transport is delayed but conventional plasma, red cells, and whole blood are often unavailable out of hospital. Shelf-stable products are needed as a temporary bridge to in-hospital transfusion. Bioplasma FDP (freeze-dried plasma) and Hemopure (hemoglobin-based oxygen carrier; HBOC) are products with potential for prehospital use. In vivo use of these products together has not been reported. This study assessed the safety of intravenous administration of HBOC+FDP, relative to normal saline (NS), in rhesus macaques (RM). Methods: After 30% blood volume removal and 30 minutes in shock, animals were resuscitated with either NS or two units (RM size adjusted) each of HBOC+FDP during 60 minutes. Sequential blood samples were collected. After neurological assessment, animals were killed at 24 hours and tissues collected for histopathology. Results: Due to a shortage of RM during the COVID-19 pandemic, the study was stopped after nine animals (HBOC+FDP, seven; NS, two). All animals displayed physiologic and tissue changes consistent with hemorrhagic shock and recovered normally. There was no pattern of cardiovascular, blood gas, metabolic, coagulation, histologic, or neurological changes suggestive of risk associated with HBOC+FDP. Conclusion: There was no evidence of harm associated with the combined use of Hemopure and Bioplasma FDP. No differences were noted between groups in safety-related cardiovascular, pulmonary, renal or other organ or metabolic parameters. Hemostasis and thrombosis-related parameters were consistent with expected responses to hemorrhagic shock and did not differ between groups. All animals survived normally with intact neurological function. Level of evidence: Not applicable.

Determining the research priorities for emergency care within the Western Cape province of South Africa: A consensus study.

Introduction: Low- and middle-income countries (LMICs) are disproportionally affected by conditions requiring emergency care but there are limited contextually appropriate studies performed within these settings involving the patient population and healthcare systems they aim to benefit. Over the past five years, researchers in the Western Cape of South Africa have produced approximately 20 % of all emergency care publications from Africa, yet no agreed list of research priorities exists. Establishing research priorities, via recognised consensus methods, can ensure that efforts and resources in LMICs are more appropriately targeted to the need. Method: Using a modified Delphi study, we invited a range of public and private representatives from different professional emergency care cadres within the Western Cape to identify current evidence gaps and consensus research priorities across the four areas of the WHO Emergency Care Systems framework: scene care, prehospital care, facility-based care, and the emergency care system itself. We then purposively selected eleven experts holding key academic and management positions to form a panel and perform a nominal group technique process to discuss these identified research priorities and establish a final list of priority research questions. Result: Forty of the sixty-six (61 %) emergency care professionals invited contributed to the Delphi phase of the study, with representation from all professional cadres. After deduplication, 154 research topics were identified in the first round. In the second round, 94 (61 %) topics were considered research priorities by at least 80 % of participants. Following the nominal group technique discussion, 26 questions were established as consensus research priorities having been ranked as a top ten priority by over 50 % of panellists. Conclusion: We were able to successfully collate expert opinion and identify existing emergency care knowledge gaps within the Western Cape province of South Africa. Key topics identified for future work included questions on current health-seeking behaviour, dispatch, interfacility transfer, and staff burnout.

Implementation and evaluation of a pilot WHO community first aid responder training in Kinshasa, DR Congo: A mixed method study.

Introduction: Prehospital care in many low- and middle-income countries is underdeveloped and needs strengthening for improved outcomes. Where formal prehospital care systems are under development, integration of a layperson first responder programme may help improve access for those in need. The World Health Organization recently developed the Community First Aid Responder (CFAR) learning program in support of this system, providing that it may require adaptation to be contextually suitable and sustainably implemented at country level. This study assesses a pilot WHO CFAR course in Kinshasa, Democratic Republic of Congo, to inform future rollouts and related research. Methods: We conducted a 3-day in-person pilot CFAR training with 42 purposively selected community health workers. Data collection involved quantitative and qualitative phases. The first consisted of structured pre- and post-training surveys, and a course evaluation by participants. The second consisted of two focus group discussions involving purposively selected community health workers in one group, and a convenience sample of course instructors and organisers in the other. Perceptions regarding course content, perceived knowledge acquisition and self-confidence gain were analysed using descriptive statistics for the quantitative data and content analysis for qualitative data. Results: Course participants were predominantly male (76.3 %) with a median age of 42 years and most (80.5 %) had no prior first aid training. Most were satisfied that the learning objectives were reached, the logistics were adequate, and that the content and teaching language were appropriately tailored to local context. The majority (94.7 %) found the 3-day duration insufficient. There was a significant self-confidence gain regarding first aid skills (average 17.9 % in pre- to 95.3 % in post-training, p < 0.001). Favourable opinions on the course structure, content, logistics and teaching methods were noted. Conclusion: A CFAR course pilot was successfully conducted in Kinshasa. The course is appropriate for context and well received by participants. It can form a key component of developing prehospital care systems in resource-constrained settings.

Changing patterns in the burden of paediatric injuries during the COVID-19 pandemic: a study in Mozambique's central hospitals.

INTRODUCTION: There is a substantial body of knowledge on the effects of the COVID-19 pandemic on injuries showing frequent but inconsistent reductions in both volume and pattern. Yet, studies specifically addressing children are less common, not least from low- and middle-income countries. This study investigated whether changes in the pattern and outcome of paediatric injury admissions to Mozambique's four regional referral hospitals during 2020. METHODS: Clinical charts of paediatric patients presenting to the targeted hospitals with acute injuries were reviewed using a set of child, injury, and outcome characteristics during each of two consecutive restriction periods in 2020 using as a comparator the same periods in 2019, the year before the pandemic. Differences between 2020 and 2019 proportions for any characteristic were examined using the t-test (significance level 0.05). RESULTS: During both restriction periods, compared with the previous year, reductions in the number of injuries were noticed in nearly all aspects investigated, albeit more remarkably during the first restriction period, in particular, greater proportions of injuries in the home setting and from burns (7.2% and 11.5% respectively) and a reduced one of discharged patients (by 2.5%). CONCLUSION: During the restrictions implemented to contend the pandemic in Mozambique in 2020, although each restriction period saw a drop in the volume of injury admissions at central hospitals, the pattern of child, injury and outcome characteristics did not change much, except for an excess of home and burn injuries in the first, more restrictive period. Whether this reflects the nature of the restrictions only or, rather, other mechanisms that came into play, individual or health systems related, remains to be determined.

The variables predictive of ambulance non-conveyance of patients in the Western Cape, South Africa.

Introduction: Emergency medical service (EMS) resources are limited and should be reserved for incidents of appropriate acuity. Over-triage in dispatching of EMS resources is a global problem. Analysing patients that are not transported to hospital is valuable in contributing to decision-making models/algorithms to better inform dispatching of resources. The aim is to determine variables associated with patients receiving an emergency response but result in non-conveyance to hospital. Methods: A retrospective cross-sectional study was performed on data for the period October 2018 to September 2019. EMS records were reviewed for instances where a patient received an emergency response but the patient was not transported to hospital. Data were subjected to univariate and multivariate regression analysis to determine variables predictive of non-transport to hospital. Results: A total of 245 954 responses were analysed, 240 730 (97.88 %) were patients that were transported to hospital and 5 224 (2.12 %) were not transported. Of all patients that received an emergency response, 203 450 (82.72 %) patients did not receive any medical interventions. Notable variables predictive of non-transport were green (OR 4.33 (95 % CI: 3.55-5.28; p<0.01)) and yellow on-scene (OR 1.95 (95 % CI: 1.60-2.37; p<0.01).Incident types most predictive of non-transport were electrocutions (OR 4.55 (95 % CI: 1.36-15.23; p=0.014)), diabetes (OR 2.978 (95 % CI: 2.10-3.68; p<0.01)), motor vehicle accidents (OR 1.92 (95 % CI: 1.51-2.43; p<0.01)), and unresponsive patients (OR 1.98 (95 % CI: 1.54-2.55; p<0.01)). The highest treatment predictors for non-transport of patients were nebulisation (OR 1.45 (95 % CI: 1.21-1.74; p<0.01)) and the administration of glucose (OR 4.47 (95 % CI: 3.11-6.41; p<0.01)). Conclusion: This study provided factors that predict ambulance non-conveyance to hospital. The prediction of patients not transported to hospital may aid in the development of dispatch algorithms that reduce over-triage of patients, on-scene discharge protocols, and treat and refer guidelines in EMS.

Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting.

COVID-19 infection rates remain high in South Africa. Clinical prediction models may be helpful for rapid triage, and supporting clinical decision making, for patients with suspected COVID-19 infection. The Western Cape, South Africa, has integrated electronic health care data facilitating large-scale linked routine datasets. The aim of this study was to develop a machine learning model to predict adverse outcome in patients presenting with suspected COVID-19 suitable for use in a middle-income setting. A retrospective cohort study was conducted using linked, routine data, from patients presenting with suspected COVID-19 infection to public-sector emergency departments (EDs) in the Western Cape, South Africa between 27th August 2020 and 31st October 2021. The primary outcome was death or critical care admission at 30 days. An XGBoost machine learning model was trained and internally tested using split-sample validation. External validation was performed in 3 test cohorts: Western Cape patients presenting during the Omicron COVID-19 wave, a UK cohort during the ancestral COVID-19 wave, and a Sudanese cohort during ancestral and Eta waves. A total of 282,051 cases were included in a complete case training dataset. The prevalence of 30-day adverse outcome was 4.0%. The most important features for predicting adverse outcome were the requirement for supplemental oxygen, peripheral oxygen saturations, level of consciousness and age. Internal validation using split-sample test data revealed excellent discrimination (C-statistic 0.91, 95% CI 0.90 to 0.91) and calibration (CITL of 1.05). The model achieved C-statistics of 0.84 (95% CI 0.84 to 0.85), 0.72 (95% CI 0.71 to 0.73), and 0.62, (95% CI 0.59 to 0.65) in the Omicron, UK, and Sudanese test cohorts. Results were materially unchanged in sensitivity analyses examining missing data. An XGBoost machine learning model achieved good discrimination and calibration in prediction of adverse outcome in patients presenting with suspected COVID19 to Western Cape EDs. Performance was reduced in temporal and geographical external validation.

The Effect of Prehospital Clinical Trial-Related Procedures on Scene Interval, Cognitive Load, and Error: A Randomized Simulation Study.

INTRODUCTION: Globally, very few settings have undertaken prehospital randomized controlled trials. Given this lack of experience, there is a risk that such trials in these settings may result in protocol deviations, increased prehospital intervals, and increased cognitive load, leading to error. Ultimately, this may affect patient safety and mortality. The aim of this study was to assess the effect of trial-related procedures on simulated scene interval, self-reported cognitive load, medical errors, and time to action. METHODS: This was a prospective simulation study. Using a cross-over design, ten teams of prehospital clinicians were allocated to three separate simulation arms in a random order. Simulations were: (1) Eligibility assessment and administration of freeze-dried plasma (FDP) and a hemoglobin-based oxygen carrier (HBOC), (2) Eligibility assessment and administration of HBOC, (3) Eligibility assessment and standard care. All simulations also required clinical management of hemorrhagic shock. Simulated scene interval, error rates, cognitive load (measured by NASA Task Load Index), and competency in clinical care (assessed using the Simulation Assessment Tool Limiting Assessment Bias (SATLAB)) were measured. Mean differences between simulations with and without trial-related procedures were sought using one-way ANOVA or Kruskal-Wallis test. A p-value of <0.05 within the 95% confidence interval was considered significant. RESULTS: Thirty simulations were undertaken, representing our powered sample size. The mean scene intervals were 00:16:56 for Simulation 1 (FDP and HBOC), 00:17:22 for Simulation 2 (HBOC only), and 00:14:24 for Simulation 3 (standard care). Scene interval did not differ between the groups (p = 0.27). There were also no significant differences in error rates (p = 0.28) or cognitive load (p = 0.67) between the simulation groups. There was no correlation between cognitive load and error rates (r = 0.15, p = 0.42). Competency was achieved in all the assessment criteria for all simulation groups. CONCLUSION: In a simulated environment, eligibility screening, performance of trial-related procedures, and clinical management of patients with hemorrhagic shock can be completed competently by prehospital advanced life support clinicians without delaying transport or emergency care. Future prehospital clinical trials may use a similar approach to help ensure graded and cautious implementation of clinical trial procedures into prehospital emergency care systems.

Effect of the COVID-19 pandemic on emergency department attendances for pediatric injuries in Mozambique's central hospitals: an interrupted time series and a comparison within the restriction periods between 2019 and 2020.

Objectives: Hospital-based studies indicate that restriction measures imposed during the COVID-19 pandemic have affected the number and characteristics of pediatric injuries. However, few studies have been conducted in resource-poor countries. This study aimed to determine whether injury-related emergency department (ED) attendances in Mozambique were affected during the restriction periods in 2020 and how the pattern of injury changed. Methods: Mozambique faced two restriction periods in 2020. An interrupted time series was applied to weekly data of pediatric injuries from the ED records of four central hospitals in Mozambique in 2019 and 2020. Weekly numbers of injuries were modeled using a Poisson regression model to estimate the effect of COVID-19 restrictions on trends over calendar time. Then, for each restriction period, differences in injury mechanisms, severity, need for surgery, and intensive care unit (ICU) attendances were compared between 2019 and 2020. Results: During the 76 weeks preceding the restrictions, there was a stable trend in ED attendances. The weekly number dropped by 48.7% after implementation of the first restrictions. By the end of 2020, the weekly numbers were back to the levels observed before the restrictions. Road traffic injuries (RTIs) and falls dropped during the first restriction period and RTIs and burns during the second. There was an increase of 80% in ICU attendances in all periods of 2020 at three hospitals during the first and second restriction periods. Conclusion: The COVID-19 restrictions yielded a reduction in the weekly number of pediatric injuries seen at Mozambique's central hospitals, above all RTIs and falls. The drop reflects reductions in visits most importantly for RTIs, falls, and burns, but was accompanied by an increase in the proportion of ICU cases. This effect was not maintained when the restrictions were relaxed. Whether this reflects reduced exposure to injury or hesitancy to seek care remains to be determined. Level of evidence: Level III, retrospective study with up to two negative criteria.

LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting.

BACKGROUND: Uneven vaccination and less resilient health care systems mean hospitals in LMICs are at risk of being overwhelmed during periods of increased COVID-19 infection. Risk-scores proposed for rapid triage of need for admission from the emergency department (ED) have been developed in higher-income settings during initial waves of the pandemic. METHODS: Routinely collected data for public hospitals in the Western Cape, South Africa from the 27th August 2020 to 11th March 2022 were used to derive a cohort of 446,084 ED patients with suspected COVID-19. The primary outcome was death or ICU admission at 30 days. The cohort was divided into derivation and Omicron variant validation sets. We developed the LMIC-PRIEST score based on the coefficients from multivariable analysis in the derivation cohort and existing triage practices. We externally validated accuracy in the Omicron period and a UK cohort. RESULTS: We analysed 305,564 derivation, 140,520 Omicron and 12,610 UK validation cases. Over 100 events per predictor parameter were modelled. Multivariable analyses identified eight predictor variables retained across models. We used these findings and clinical judgement to develop a score based on South African Triage Early Warning Scores and also included age, sex, oxygen saturation, inspired oxygen, diabetes and heart disease. The LMIC-PRIEST score achieved C-statistics: 0.82 (95% CI: 0.82 to 0.83) development cohort; 0.79 (95% CI: 0.78 to 0.80) Omicron cohort; and 0.79 (95% CI: 0.79 to 0.80) UK cohort. Differences in prevalence of outcomes led to imperfect calibration in external validation. However, use of the score at thresholds of three or less would allow identification of very low-risk patients (NPV ≥0.99) who could be rapidly discharged using information collected at initial assessment. CONCLUSION: The LMIC-PRIEST score shows good discrimination and high sensitivity at lower thresholds and can be used to rapidly identify low-risk patients in LMIC ED settings.

Changes in trauma-related emergency medical services during the COVID-19 lockdown in the Western Cape, South Africa.

BACKGROUND: To limit virus spread during the COVID pandemic, extensive measures were implemented around the world. In South Africa, these restrictions included alcohol and movement restrictions, factors previously linked to injury burden in the country. Consequently, reports from many countries, including South Africa, have shown a reduction in trauma presentations related to these restrictions. However, only few studies and none from Africa focus on the impact of the pandemic restrictions on the Emergency Medical System (EMS). METHODS: We present a retrospective, observational longitudinal study including data from all ambulance transports of physical trauma cases collected during the period 2019-01-01 and 2021-02-28 from the Western Cape Government EMS in the Western Cape Province, South Africa (87,167 cases). Within this timeframe, the 35-days strictest lockdown level period was compared to a 35-days period prior to the lockdown and to the same 35-days period in 2019. Injury characteristics (intent, mechanism, and severity) and time were studied in detail. Ambulance transport volumes as well as ambulance response and on-scene time before and during the pandemic were compared. Significance between indicated periods was determined using Chi-square test. RESULTS: During the strictest lockdown period, presentations of trauma cases declined by > 50%. Ambulance transport volumes decreased for all injury mechanisms and proportions changed. The share of assaults and traffic injuries decreased by 6% and 8%, respectively, while accidental injuries increased by 5%. The proportion of self-inflicted injuries increased by 5%. Studies of injury time showed an increased share of injuries during day shift and a reduction of total injury volume during the weekend during the lockdown. Median response- and on-scene time remained stable in the time-periods studied. CONCLUSION: This is one of the first reports on the influence of COVID-19 related restrictions on EMS, and the first in South Africa. We report a decline in trauma related ambulance transport volumes in the Western Cape Province as well as changes in injury patterns, largely corresponding to previous findings from hospital settings in South Africa. The unchanged response and on-scene times indicate a well-functioning EMS despite pandemic challenges. More studies are needed, especially disaggregating the different restrictions.

Assessment of critical resource gaps in pediatric injury care in Mozambique's four largest Hospitals.

BACKGROUND: Hospitals from resource-scarce countries encounter significant barriers to the provision of injury care, particularly for children. Shortages in material and human resources are seldom documented, not least in African settings. This study analyzed pediatric injury care resources in Mozambique hospital settings. METHODS: We undertook a cross-sectional study, encompassing the country's four largest hospitals. Data was collected in November 2020 at the pediatric emergency units. Assessment of the resources available was made with standardized WHO emergency equipment and medication checklists, and direct observation of premises and procedures. The potential impact of unavailable equipment and medications in pediatric wards was assessed considering the provisions of injury care. RESULTS: There were significant amounts of not available equipment and medications in all hospitals (ranging from 20% to 49%) and two central hospitals stood out in that regard. The top categories of not available equipment pertained to diagnosis and monitoring, safety for health care personnel, and airway management. Medications to treat infections and poisonings were those most frequently not available. There were several noteworthy and life-threatening shortcomings in how well the facilities were equipped for treating pediatric patients. The staff regarded lack of equipment and skills as the main obstacles to delivering quality injury care. Further, they prioritized the implementation of trauma courses and the establishment of trauma centers to strengthen pediatric injury care. CONCLUSION: The country's four largest hospitals had substantial quality-care threatening shortages due to lack of equipment and medications for pediatric injury care. All four hospitals face issues that put at risk staff safety and impede the implementation of essential care interventions for injured children. Staff wishes for better training, working environments adequately equipped and well-organized. The room for improvement is considerable, the study results may help to set priorities, to benefit better outcomes in child injuries.

External validation of triage tools for adults with suspected COVID-19 in a middle-income setting: an observational cohort study.

BACKGROUND: Tools proposed to triage ED acuity in suspected COVID-19 were derived and validated in higher income settings during early waves of the pandemic. We estimated the accuracy of seven risk-stratification tools recommended to predict severe illness in the Western Cape, South Africa. METHODS: An observational cohort study using routinely collected data from EDs across the Western Cape, from 27 August 2020 to 11 March 2022, was conducted to assess the performance of the PRIEST (Pandemic Respiratory Infection Emergency System Triage) tool, NEWS2 (National Early Warning Score, version 2), TEWS (Triage Early Warning Score), the WHO algorithm, CRB-65, Quick COVID-19 Severity Index and PMEWS (Pandemic Medical Early Warning Score) in suspected COVID-19. The primary outcome was intubation or non-invasive ventilation, death or intensive care unit admission at 30 days. RESULTS: Of the 446 084 patients, 15 397 (3.45%, 95% CI 34% to 35.1%) experienced the primary outcome. Clinical decision-making for inpatient admission achieved a sensitivity of 0.77 (95% CI 0.76 to 0.78), specificity of 0.88 (95% CI 0.87 to 0.88) and the negative predictive value (NPV) of 0.99 (95% CI 0.99 to 0.99). NEWS2, PMEWS and PRIEST scores achieved good estimated discrimination (C-statistic 0.79 to 0.82) and identified patients at risk of adverse outcomes at recommended cut-offs with moderate sensitivity (>0.8) and specificity ranging from 0.41 to 0.64. Use of the tools at recommended thresholds would have more than doubled admissions, with only a 0.01% reduction in false negative triage. CONCLUSION: No risk score outperformed existing clinical decision-making in determining the need for inpatient admission based on prediction of the primary outcome in this setting. Use of the PRIEST score at a threshold of one point higher than the previously recommended best approximated existing clinical accuracy.

Injury patterns in patients with severe traumatic brain injuries from motor crashes admitted to Mulago hospital accidents & emergency unit.

Background: The global burden of Road Traffic Crashes (RTC) is increasing. Uganda has one of the highest rates of RTCs in Sub-Sahara. Victims of RTCs sustain varying degrees of injuries depending on factors including the velocity at time of impact, protective gear; and if it was a motorcycle-motorcycle or motorcycle-vehicle crash. High speed collisions can result in severe forms of injuries and polytrauma. Some injuries are undetected. Methods: A cross sectional study was carried at Mulago Hospital Accidents & Emergency Unit, between November 2021 and February 2022; on all adult patients (≥18 years) with severe head injury from motor road traffic crashes. The study looked at injury patterns and assessed the relationship of polytrauma in patients with severe head injury to the mechanism of injury (motorcycles versus vehicles). Data were extracted from patient charts using a validated data abstraction tool and complete head to toe physical examination was carried out and injuries recorded. Data were analysed to determine the relationship of polytrauma in patients with severe head injury to the mechanism of injury. Results: The participants were predominantly males with a population median age of 32 (25-39). The commonest modes of transportation of patients to the hospital were Police Pickup trucks (40%) and ambulance (36.1%). Among motorcycle RTCs, (19.2%) wore helmets; 21.2% had protective gear; with injury identified mainly in; the limbs (84.8%), neck (76.8%), chest (39.4%), and abdomen (26.3%). Patients from vehicle RTCs were 19% more likely to have polytrauma compared to patients from motorcycle RTCs. Conclusions: This study showed that patients who sustain severe traumatic brain injuries from vehicle crashes have an increased likelihood of having multiple injuries, compared to patients from motorcycle RTCs. For motorcycle users, injuries mostly affect the limbs. At particular risk are motorcyclists who do not wear helmets and protective coveralls.

Operative Trauma Courses: A Scoping Review to Inform the Development of a Trauma Surgery Course for Low-Resource Settings.

BACKGROUND: A multitude of operative trauma courses exist, most of which are designed for and conducted in high-resource settings. There are numerous barriers to adapting such courses to low- and low-middle-income countries (LMICs), including resource constraints and contextual variations in trauma care. Approaches to implementing operative trauma courses in LMICs have not been evaluated in a structured manner. METHODS: We conducted a scoping review of the literature including databases (e.g., PubMed, Web of Science, EMBASE), grey literature repositories, and structured queries of publicly available course materials to identify records that described operative trauma courses offered since 2000. RESULTS: The search identified 3,518 non-duplicative records, of which 48 relevant reports were included in analysis. These reports represented 23 named and 11 unnamed operative trauma courses offered in 12 countries. Variability existed in course format and resource requirements, ranging from USD 40 to 3,000 per participant. Courses incorporated didactic and laboratory components, which utilized simulations, cadavers, or live animals. Course content overlapped significantly but was not standardized. Data were lacking on course implementation and promulgation, credentialing of instructors, and standardized evaluation metrics. CONCLUSIONS: While many operative trauma courses have been described, most are not directly relatable to LMICs. Barriers include cost-prohibitive fees, lack of resources, limited data collection, and contextual variability that renders certain surgical care inappropriate in LMICs. Gaps exist in standardization of course content as well as transparency of credentialing and course implementation strategies. These issues can be addressed through developing an open-access operative trauma course for low-resource settings.