Epidemiology of prehospital emergency calls according to patient transport decision in a middle eastern emergency care environment: Retrospective cohort-based.

Background and Aim: Though emergency medical services (EMS) respond to all types of emergency calls, they do not always result in the patient being transported to the hospital. This study aimed to explore the determinants influencing emergency call-response-based conveyance decisions in a Middle Eastern ambulance service. Methods: This retrospective quantitative analysis of 93,712 emergency calls to the Hamad Medical Corporation Ambulance Service (HMCAS) between January 1 and May 31, 2023, obtained from the HMCAS electronic system, was analyzed to determine pertinent variables. Sociodemographic, emergency dispatch-related, clinical, and miscellaneous predictors were analyzed. Descriptive, bivariate, ridge logistic regression, and combination analyses were evaluated. Results: 23.95% (N = 21,194) and 76.05% (N = 67,285) resulted in patient nontransport and transportation, respectively. Sociodemographic analysis revealed that males predominantly activated EMS resources, and 60% of males (n = 12,687) were not transported, whilst 65% of females (n = 44,053) were transported. South Asians represented a significant proportion of the transported patients (36%, n = 24,007). "Home" emerged as the primary emergency location (56%, n = 37,725). Bivariate analysis revealed significant associations across several variables, though multicollinearity was identified as a challenge. Ridge regression analysis underscored the role of certain predictors, such as missing provisional diagnoses, in transportation decisions. The upset plot shows that hypertension and diabetes mellitus were the most common combinations in both groups. Conclusions: This study highlights the nuanced complexities governing conveyance decisions. By unveiling patterns such as male predominance, which reflects Qatar's expatriate population, and specific temporal EMS activity peaks, this study accentuates the importance of holistic patient assessment that transcends medical histories.

Enhancing Patient Safety in Prehospital Environment: Analyzing Patient Perspectives on Non-Transport Decisions With Natural Language Processing and Machine Learning.

OBJECTIVE: This research explored the experiences and perspectives of patients declining hospital transportation after receiving prehospital emergency care using advanced computational techniques. METHOD: Between 15th June and 1st August 2023, 210 patients in Qatar, treated by Hamad Medical Corporation Ambulance Service (HMCAS) but refusing transportation to hospital, were interviewed. Key outcome variables stratified by demographics included "reasons for refusing transport," "satisfaction with HMCAS service," and "postrefusal actions." Responses underwent sentiment analysis and topic modeling using latent Dirichlet allocation. Machine learning models, such as Naïve Bayes, K-nearest neighboring, random forest, and support vector machine, were used to predict patients' subsequent actions. RESULTS: Participants had an average age of 38.61 ± 19.91 years. The chief complaints were primarily chest and abdominal pains (18.49%; n = 39). Sentiment Analysis revealed a generally favorable perception of HMCAS-provided service. Latent Dirichlet allocation identified two main topics pertaining to refusal reasons and service satisfaction. Naïve Bayes and support vector machine algorithms were most effective in predicting postrefusal actions with an accuracy rate of 81.58%. CONCLUSIONS: This study highlighted the utility of Natural Language Processing and ML in enhancing our understanding of patient behaviors and sentiments in prehospital settings. These advanced computational methodologies allowed for a nuanced exploration of patient demographics and sentiments, providing insights for Quality Improvement initiatives. The study also advocates for continuously integrating automated feedback mechanisms to improve patient-centered care in the prehospital context. Continuous integration of automated feedback systems is recommended to improve prehospital patient-centered care.

Can we use normal saline stored under stress conditions? A simulated prehospital emergency medical setting.

Background: Data on stability and suitability to use normal saline stored under stress conditions in ambulances is lacking. Objective: We aimed to study the impact of exposure to extreme temperature variations on normal saline stability and compatibility with its packaging. Methods: Normal saline in 96 polyolefin bags were exposed to continuous temperature of 22, 50, and 70 °C or to a cyclic temperature of 70 °C per 8 h and 22 °C per 16 h. The bags were sampled at 12, 24, 48 and 72 h and at 1, 2, 3, and 4 weeks in the short- and long-term experiments, respectively. Solution inside the bags was evaluated for any evidence of crystallization, discoloration, turbidity, or pH changes. A sample of normal saline was withdrawn from each bag to analyze sodium and chloride levels. Results: Precipitation, discoloration, or turbidity were not observed in the solution inside normal saline bags. The average pH was 5.59 at 22 °C, 5.73 at 50 °C, 5.86 at 70 °C and 5.79 at cyclic exposure. In the short- and long-term experiments, sodium and chloride concentrations were within 100.2-111.27% and 99.04-110.95%, respectively. Leaching of the plastic components in the polyolefin bag into the normal saline solution was not detected. Conclusions: Sodium and chloride levels of normal saline were stable and compatible with polyolefin bags stored in simulated continuous and cyclic extreme temperatures for around one month. The effect of storage in the cabinet of operational ambulance vehicles during different seasons in arid countries is yet to be evaluated in real-world conditions, to further confirm our results.

Understanding patient non-transport decision theories in the pre-hospital setting: a narrative review.

BACKGROUND: In pre-hospital emergency care, decisions regarding patient non-conveyance emerged as significant determinants of healthcare outcomes and resource utilization. These complex decisions became integral to the progress of emergency medical services, thus warranting an evolving exploration within the medical discourse. OBJECTIVES AND METHODS: This narrative review aimed to synthesize and critically evaluate various theoretical stances on patient non-conveyance in the pre-hospital emergency. The focus on studies published between January 2012 and August 2022 was intentional to capture contemporary practices and insights. PubMed and Google Scholar served as the primary databases for the investigation, while the AL-Rayyan® software facilitated a thorough screening process. RESULTS AND DISCUSSION: Twenty-nine studies-encompassing articles, books, and theses-were discovered through our search, each presenting unique perspectives on patient non-transport, thus highlighting its criticality as a healthcare concern. Predominant factors influencing non-transport decisions were classified into patient-initiated refusals (PIR), clinician-initiated decisions (CID), and dispatcher-initiated decisions (DID). CONCLUSIONS: The issue of patient non-conveyance to hospitals continues to pose a crucial challenge to the seamless operation of emergency healthcare systems, warranting increased attention from various healthcare entities. To comprehend and pinpoint potential areas of improvement, a comprehensive analysis of pre-hospital non-transport events is imperative. A well-informed, strategic approach could prevent resource waste while ensuring patients receive the required and definitive care. KEY MESSAGES: Why is this topic important? Some studies have suggested that non-transport to hospitals following emergency calls is safe. However, it is a concerning issue for health systems. It is also considered a key performance metric for health systems. What does this review attempt to show? This review aimed to map the various factors discussed in the literature regarding the decisions not to transport patients following emergency calls in a pre-hospital setting. What are the key findings? The existing theories regarding non-transport to hospitals after the provision of emergency care in the pre-hospital setting were identified. Non-transport due to non-clinical decisions jeopardizes emergency care outcomes for paediatric and elderly patients in particular. Hence, further research is required to identify and control the factors governing these decisions. How is patient care impacted? The decisions regarding patient transport following emergency calls in a pre-hospital setting are crucial for patient outcomes. They could impact the pre-hospital emergency care outcomes as well as patient safety. They can also affect the emergency services resources' ability to respond to other critical emergencies.

Epidemiological Determinants of Patient Non-Conveyance to the Hospital in an Emergency Medical Service Environment.

BACKGROUND: The increasing prevalence of comorbidities worldwide has spurred the need for time-effective pre-hospital emergency medical services (EMS). Some pre-hospital emergency calls requesting EMS result in patient non-conveyance. Decisions for non-conveyance are sometimes driven by the patient or the clinician, which may jeopardize the patients' healthcare outcomes. This study aimed to explore the distribution and determinants of patient non-conveyance to hospitals in a Middle Eastern national Ambulance Service that promotes the transportation of all emergency call patients and does not adopt clinician-based non-conveyance decision. METHODS: Using R Language, descriptive, bivariate, and binary logistic regression analyses were conducted for 334,392 multi-national patient non-conveyance emergency calls from June 2018 to July 2022, from a total of 1,030,228 calls to which a response unit was dispatched. RESULTS: After data pre-processing, 237,862 cases of patient non-conveyance to hospital were retained, with a monthly average of 41.96% (n = 8799) of the emergency service demands and a standard deviation of 5.49% (n = 2040.63). They predominantly involved South Asians (29.36%, n = 69,849); 64.50% (n = 153,427) were of the age category from 14 to 44 years; 61.22% (n = 145,610) were male; 74.59% (n = 177,424) from the urban setting; and 71.28% (n = 169,552) had received on-scene treatment. Binary logistic regression with full variables and backward methods identified the final models of the determinants of patient non-conveyance decisions with an Akaike information criterion prediction estimator, respectively, of (250,200) and (250,169), indicating no significant difference between both models (Chi-square test; p-value = 0.63). CONCLUSIONS: Despite exercising a cautious protocol by encouraging patient transportation to hospital, patient non-conveyance seems to be a problem in the healthcare system that strains the pre-hospital medical response teams' resources. Policies and regulations should be adopted to encourage individuals to access other primary care centers when required rather than draining emergency services for non-emergency situations.

Quality improvement tools to manage emergency callbacks from patients with diabetes in a prehospital setting.

Diabetes is rising at an alarming rate, as 1 in 10 adults worldwide now lives with the disease. In Qatar, a middle eastern Arab country, diabetes prevalence is equally concerning and is predicted to increase from 17% to 24% among individuals aged 45 and 54 years by 2050. While most healthcare strategies focus on preventative and improvement of in-hospital care of patients with diabetes, a notable paucity exists concerning diabetes in the prehospital setting should ideally be provided. This quality improvement study was conducted in a middle eastern ambulance service and aimed to reduce ambulance callbacks of patients with diabetes-related emergencies after refusing transport to the hospital at the first time. We used iterative four-stage problem-solving models. It focused on the education and training of both paramedics and patients. The study showed that while it was possible to reduce the rate of ambulance callbacks of patients with diabetes, this was short-lived and numbers increased again. The study demonstrated that improvements could be effective. Hence, changes that impacted policy, systems of care and ambulance protocols directed at managing and caring for patients with diabetes-related prehospital emergencies may be required to reify them.

Retrospective identification of medication related adverse events in the emergency medical services through the analysis of a patient safety register.

Adverse drug events encompass a wide range of potential unintended and harmful events, from adverse drug reactions to medication errors, many of which in retrospect, are considered preventable. However, the primary challenge towards reducing their burden lies in consistently identifying and monitoring these occurrences, a challenge faced across the spectrum of healthcare, including the emergency medical services. The aim of this study was to identify and describe medication related adverse events (AEs) in the out-of-hospital setting. The medication components of a dedicated patient safety register were analysed and described for the period Jan 2017-Sept 2020. Univariate descriptive analysis was used to summarize and report on basic case and patient demographics, intervention related AEs, medication related AEs, and AE severity. Multivariable logistic regression was used to assess the odds of AE severity, by AE type. A total of 3475 patient records were assessed where 161 individual medication AEs were found in 150 (4.32%), 12 of which were categorised as harmful. Failure to provide a required medication was found to be the most common error (1.67%), followed by the administration of medications outside of prescribed practice guidelines (1.18%). There was evidence to suggest a 63% increase in crude odds of any AE severity [OR 1.63 (95% CI 1.03-2.6), p = 0.035] with the medication only AEs when compared to the intervention only AEs. Prehospital medication related adverse events remain a significant threat to patient safety in this setting and warrant greater widespread attention and future identification of strategies aimed at their reduction.

Application of a Healthcare Failure Modes and Effects Analysis to Identify and Mitigate Potential Risks in the Implementation of a National Prehospital Pediatric Rapid Sequence Intubation Program.

INTRODUCTION: Rapid sequence intubation (RSI) has become the de facto airway method of choice in the emergency airway management of adult and pediatric patients. There is significant controversy regarding pediatric RSI in the prehospital setting, given not only the complexities inherent in both the procedure and patient population, but in variations in emergency medical service models, prehospital qualifications, scope of practice, and patient exposure too. METHODS: A Healthcare Failure Mode and Effects Analysis was conducted to identify and mitigate potential hazards in the national implementation of a prehospital pediatric RSI program. A process map and potential failure points were developed and identified. Probabilities, severity, and hazards scores were calculated for each failure point, and actions items developed to address these. RESULTS: One hundred four potential failure points were identified among 44 subprocesses, divided between nine major processes. In terms of severity, most were classified as either major (n = 39 [37.5%]) or catastrophic (n = 35 [33.7%]) with just more than half falling within the uncommon category (n = 56 [53.9%]) in terms of probability. Five strategic actions items were identified to mitigate against the failure points meeting criteria for action. To monitor the success of these, 11 quality and performance indicators were developed for concurrent implementation. CONCLUSIONS: The Healthcare Failure Mode and Effects Analysis represents a simple yet comprehensive first step toward risk analysis of complex procedures within the prehospital emergency care setting. Application of the methodology provided guidance for the consensus identification of hazards associated with prehospital pediatric RSI and appropriate actions to mitigate them.

Implementation of a drive-through testing clinic in Qatar for residents having recently returned from a country with a COVID-19 travel warning.

INTRODUCTION: The spread of the SARS-CoV-2 virus has caused chaos around the world. At the onset of the virus' detection in the State of Qatar, a free-testing system was rapidly established to invite individuals who had recently returned from countries with a COVID-19 disease travel warning to avoid putting other people at risk. The testing site needed to be accessible to individuals without requiring them to enter the hospital and congregate in a waiting area. The aim of this article is to share our experience with the early implementation of a drive-through testing clinic using the invited person's vehicle as an isolation compartment during screening to minimize person-to-person contamination. METHODS: A Hamad Medical Corporation site was selected to stage a drive-through testing facility to avoid congestion and offer space to facilitate the process. A process was rapidly agreed upon, and staff received the required training regarding infection control measures and documentation. At the testing site, individuals were subjected to the following steps: registration and history taking, temperature measurement, swabbing, and receipt of a sick leave certificate and a flyer about self-quarantine. RESULTS: Over the first six days of implementation, the relevant authorities determined that 687 individuals had to be contacted, 103 attended their testing appointment in that period, and an additional 327 people (close relations of the individuals contacted or individuals contacted but without a health card) also subjected themselves to the testing process, which took a median time of 11 minutes 39 seconds. No individual exhibited symptoms that warranted immediate isolation while they were at the drive-through testing clinic. However, four individuals were diagnosed with COVID-19 following laboratory analysis of the swab taken and followed up. The median time between swab collection and laboratory testing was 13 hours 41 minutes 59 seconds. CONCLUSIONS: Collaboration among various key health, governmental, and travel industry partners was essential to the successful and rapid implementation of a COVID-19 drive-through testing clinic in the early days of the pandemic in Qatar. The general public reacted well to this process. Communication, coordination, and planning were identified as critical factors at every step of the process. It started from the initial call to the travelers who had recently returned from a country with a newly instituted travel warning and concluded by them leaving with their sick leave certificate and an information flyer with reminders about preventative infection control measures and encouraging them to self-quarantine after having been swabbed.

Critical Care Network in the State of Qatar.

Critical care is a multidisciplinary and interprofessional specialty providing comprehensive care to patients in an acute life-threatening, but treatable condition.1 The aim is to prevent further physiological deterioration while the failing organ is treated. Patients admitted to a critical care unit normally need constant attention from specialist nursing and therapy staff at an appropriate ratio, continuous, uninterrupted physiological monitoring supervised by staff that are able to interpret and immediately act on the information, continuous clinical direction and care from a specialist consultant-led medical team trained and able to provide appropriate cover for each critical care unit, and artificial organ support and advanced therapies which are only safe to administer in the above environment. It is an important aspect of medical care within a hospital as it is an underpinning service without which a hospital would not be able to conduct most or all of its planned and unplanned activities. As such, critical care requires a very intensive input of human, physical, and financial resources.2 It occupies a proportionately large fraction of a hospital's estate and infrastructure for a small number of patients. The resources that are invested into a critical care bed should therefore be valued against the activities and care throughout the hospital that the availability of that bed allows to happen. Given that demand for critical care beds will continue to grow, providing more critical care beds is unlikely to work on its own since experience has shown that additional capacity is soon absorbed within routine provision.3 Attention must therefore be given to maximising the efficient and effective use of existing critical care beds, necessitating an ability to cope with peaks in demand. Historically the world over, the development of critical care units has been unplanned and haphazard and largely relied on the interest of local clinicians to drive development. However, there is now an eminent body of opinion that supports an alternative approach to critical care provision - namely through a managed Critical Care Network with an agenda of integrated working and the focus on facilitating safe quality care that is cost-effective and patient-focused for acutely and critically ill patients across the various constituent organisations of a healthcare system. The Critical Care Service in Hamad Medical Corporation (HMC) has developed rapidly to address the increasing demand linked to the population growth in the State of Qatar with the aim of meeting the vision of the National Health Strategy (NHS). It is paralleled with HMC's vision to improve the delivery of critical care to patients and their families in a way that meets the highest international standards such as those set by the Joint Commission International by whom the Corporation has been accredited since 2007.4 For this reason, the organisation took the lead to perform a gap analysis with expert auditors from the United States of America and the United Kingdom who have experience in critical care service provision. The aim was to assess the Critical Care Service within HMC and identify potential short-term, medium-term, and long-term opportunities for improvement. This assessment focused on a very broad range of aspects such as: bed capacity, facilities and equipment, medical, nursing and allied healthcare staffing levels and their education, career development pathways, patient safety, quality metrics, clinical governance structure, clinical protocols and pathways, critical care outreach, and future planning for critical care at HMC. As a result of extensive review for the Critical Care Services at HMC, the Critical Care Network (CCNW) in the State of Qatar was established in 2014. It is a strategic and operational delivery network, which includes 12 hospitals across the country. The network functions through a combination of strategic programmes, working groups, and large multidisciplinary governance and professional development events. Through collaborative working with the leadership of the various facilities and critical care clinicians, the network reviews services and makes improvements where they are required, ensuring delivery of patient-focused care by appropriately educated and trained healthcare professionals as well as the appropriate utilisation of critical care beds for those patients who require such care. Detailed involvement and engagement from the clinical membership at every event and in the various working groups ensures that all decisions, reports, and improvement programmes are clinically-focused and benefit from a diversity of opinions that can be considered for implementation. All of this is carefully aligned to the requirements of the latest Qatar National Health Strategy.5 It aims to adopt evidence-based best practices to deliver the safest, most effective and most compassionate care to our critical care patients by setting the most appropriate care pathway to transform Critical Care Services across HMC hospitals. The key aims of the CCNW as stated in its Terms of Reference document are listed in Table 1.6 This enhances the quality and safety of patient care across HMC, promotes staff satisfaction, and improves customer service and patient outcome. The CCNW is structured in a way that involves all Critical Care Service stakeholders to maintain the stability and sustainability of delivering the best care to critically ill patients. The CCNW is steered by a multidisciplinary committee (Figure 1) that is empowered with the generative, managerial, and fiscal responsibilities to enable the required changes to take place. The committee oversees the HMC Critical Care Services through coordinating and standardising their activities and governance arrangements across the complete HMC healthcare system. It provides HMC clinical and managerial leadership at a corporate and local level, the opportunity to jointly develop critical care standards, policies, and operating procedures. In doing so, the CCNW decides on and implements recommendations on how to best plan and deliver critical care services using evidence-based practice set against the context of national and international practices. The HMC CCNW gives recommendations to various committees to improve the services in the following areas: 1. Defining the level of care and critical care core standards for HMC: The CCNW standardises critical care across the Corporation regardless of where it is being delivered. As such it develops the critical care core standards for the critical care units and gives recommendations regarding future critical care core facility planning within HMC. The CCNW helps the Ministry of Public Health (MoPH) develop the National Critical Care Core Standards. 2. Quality and safety: The CCNW works collaboratively with HMC leaders to ensure a culture of quality is embedded within all critical care services delivered within HMC. There is a continuous evaluation process in place to measure the quality of care for high performance critical care which is the goal. This is based upon ongoing observations, robust data collection and analysis, and a change management strategy implemented as required. 3. Clinical pathways, guidelines, and protocols: The CCNW develops, according to international best practice, clinical care pathways, guidelines, and protocols that govern critical care units throughout HMC. Critical care clinical practice is audited against these standards, compared with the international benchmark, and updated as required to ensure currency of all patient care aspects. 4. Transfer and transportation of critically ill patients: The CCNW develops HMC-wide criteria for patient intramural, extramural, and international transfers, and sets standards of care during transportation in collaboration with the HMC Ambulance Service Transfer and Retrieval team. This includes HMC-wide bed management consideration with the senior consultants on call, review of the patient's condition and medical needs, and assessment of the mission associated risks and mitigating strategies. This involves significant planning on the part of the team, clear communication and handovers, and the use of checklists at several stages to ensure the provision of safe and efficient patient transfers. 5. Education: The CCNW develops educational plans and ensures corresponding courses accredited by the Qatar Council for Healthcare Practitioners (QCHP) are designed and delivered to address the training needs of clinicians. The portfolio of courses is regularly reviewed to meet identified needs so clinicians always possess the appropriate knowledge and skills to manage critically ill patients. 6. Research and Critical Care Data Registry development: Being a key player in an Academic Health System, HMC fosters a relatively young but growing research environment4 of which the CCNW forms an integral part. Creating opportunities for epidemiological research and also fulfilling the needs for quality monitoring and benchmarking, the CCNW has enabled the creation of critical care data registries. Such registries provide a valuable source of information and have already been exploited at HMC to better understand the type of patients a service cares for and patient outcomes with respects various factors.7 The establishment of a CCNW at a corporate level (with membership from local leaders across HMC) has provided a level of oversight and leadership which has significantly contributed to optimizing and reshaping the way acutely ill patients are cared for. It has enabled the adoption of evidence-based best practices across the various critical care services of HMC as well as created a multidisciplinary forum for dialogue and collaboration. Innovative work focusing on providing effective, up-to-date, and patient-focused care are ongoing as well as HMC's pursuit of various internationalaccreditation awards by prestigious organisations and professional bodies.

Improving the prehospital management of ST elevation myocardial infarction: a national quality improvement initiative.

ST elevation myocardial infarction (STEMI) is a time-dependent clinical emergency. Early recognition and intervention in the clinical course of STEMI are key to reducing mortality and morbidity. As a result, the benefits of the prehospital management of patients presenting with STEMI are well supported by the literature. Given these benefits, much of the focus on the development of quality and performance measures for Emergency Medical Services has focused on STEMI care. Historically, within Qatar, however, no measures of prehospital STEMI care have previously existed and as such, little is understood regarding the quality of prehospital care delivered to patients with STEMI. The overall aim of this national initiative was to improve the effectiveness of the prehospital care of patients with STEMI, to a minimum compliance of 75%, as measured by four process measures and one bundle measure, over a 12-month period. Initial efforts were aimed at the development of relevant indicators to guide assessment and identifying an appropriate patient cohort to test improvement efforts. Using these measures and criteria, the project team highlighted several areas for potential improvement centred on three key domains within the service: clinical practice, training and clinical equipment/medication. There was significant and sustained improvement across all measures recorded. For the bundle measure, the median proportional compliance increased from 39% pre-improvement activities to 76% post-improvement activities and remained sustained at 12 months post-implementation. The initiative was successful in meeting all of its aims and furthermore showed sustained compliance at 12 months post-implementation, thanks in part to what were designed to be changes that were simple, yet pragmatic, and readily producible at scale. While a formal cost analysis was not conducted, the improvement activities capitalised on existing organisational structures and processes with the resultant cost perceived to be negligible.

Application of the emergency medical services trigger tool to measure adverse events in prehospital emergency care: a time series analysis.

BACKGROUND: Emergency Care has previously been identified as an area of significant concern regarding the prevalence of Adverse Events (AEs). However, the majority of this focus has been on the in-hospital setting, with little understanding of the identification and incidence of AEs in the prehospital environment. METHOD: The early development and testing of Emergency Medical Services (EMS) specific triggers for the identification of AEs and Harm has been previously described. To operationalise the Emergency Medical Services Trigger Tool (EMSTT), the processes developed by the Institute for Healthcare Improvement for use with the Global Trigger Tool were adapted to a prehospital emergency care setting. These were then applied using a stepwise approach to the analysis of 36 consecutive samples of patient care records over an 18-month period (n = 710). Inter-rater reliability was measured for each trigger item and level of Harm classification. Total Triggers per 10,000 Patient Encounters, AEs per 10,000 Patient Encounters and Harm per 10,000 Patient Encounters were measured. All measures were plotted on Statistical Process Control Charts. RESULTS: There was a high level of inter-rater agreement across all items (range: 85.6-100%). The EMSTT found an average rate of 8.20 Triggers per 10,000 Patient Encounters, 2.48 AEs per 10,000 Patient Encounters and 0.34 Harm events per 10,000 Patient Encounters. Three triggers: Change in Systolic Blood Pressure Greater Than 20%; Temp > 38 °C without subsequent reduction; and SpO2 < 94% without supplemental Oxygen or SpO2 < 85% without assisted ventilation accounted for 93% (n = 180) of the triggers found throughout the longitudinal analysis. DISCUSSION: With sufficient focus on implementation and data collection, as well as the inclusion of a contextually relevant system for classifying AE/Harm, the EMSTT represents a potentially successful strategy towards identifying the rate of AEs within EMS across a large patient population with limited commitment of time and resources.

Development of a trigger tool to identify adverse events and harm in Emergency Medical Services.

BACKGROUND: Adverse event(AE) detection in healthcare has traditionally relied upon several methods including: patient care documentation review, mortality and morbidity review, voluntary reporting, direct observation and complaint systems. A novel sampling strategy, known as the trigger tool (TT) methodology, has been shown to provide a more robust and valid method of detection. The aim of this research was to develop and assess a TT specific to ground-based Emergency Medical Services, to identify cases with the potential risk for adverse events and harm. METHODS: The study was conducted between March and December 2015. A literature review identified 57 potential triggers, which were grouped together by experts using an affinity process. Triggers for other areas of potential AE/harm were additionally considered for inclusion. An interim TT consisting of nine triggers underwent five iterative rounds of derivation tests of 20 random patient care records (n=100) in two emergency medical services. A final eight-item trigger list underwent a large sample (n=9836) assessment of test characteristics. RESULTS: The final eight-item TT consisted of triggers divided amongst four categories: Clinical, Medication, Procedural and Return-Call. The TT demonstrated an AE identification rate of 41.5% (sensitivity 79.8% (95% CI, 69.9% to 87.6%); specificity 58.5% (95% CI, 52% to 64.8%)). When identifying potential risk for harm, the TT demonstrated a harm identification rate of 19.3% (sensitivity 97.1% (95% CI, 84.7% to 99.9%); specificity 53.5% (95% CI, 47.7% to 59.3%)). DISCUSSION: The Emergency Medical Services Trigger Tool (EMSTT) may be used as a sampling strategy similar to the Global Trigger Tool, to identify and measure AE and harm over time, and monitor the success of improvement initiatives within the Emergency Medical Services setting.

Epidemiology and outcomes of out-of-hospital cardiac arrest in Qatar: A nationwide observational study.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) studies from the Middle East and Asian region are limited. This study describes the epidemiology, emergency health services, and outcomes of OHCA in Qatar. METHODS: This was a prospective nationwide population-based observational study on OHCA patients in Qatar according to Utstein style guidelines, from June 2012 to May 2013. Data was collected from various sources; the national emergency medical service, 4 emergency departments, and 8 public hospitals. RESULTS: The annual crude incidence of presumed cardiac OHCA attended by EMS was 23.5 per 100,000. The age-sex standardized incidence was 87.8 per 100,000 population. Of the 447 OHCA patients included in the final analysis, most were male (n=360, 80.5%) with median age of 51years (IQR=39-66). Frequently observed nationalities were Qatari (n=89, 19.9%), Indian (n=74, 16.6%) and Nepalese (n=52, 11.6%). Bystander cardiopulmonary resuscitation (CPR) was carried out in 92 (20.6%) OHCA patients. Survival rate was 8.1% (n=36) and multivariable logistic regression indicated that initial shockable rhythm (OR 13.4, 95% CI 5.4-33.3, p=0.001) was associated with higher odds of survival while male gender (OR 0.27, 95% CI 0.1-0.8, p=0.01) and advanced cardiac life support (ACLS) (OR 0.15, 95% CI 0.04-0.5, p=0.02) were associated with lower odds of survival. CONCLUSIONS: Standardized incidence and survival rates were comparable to Western countries. Although expatriates comprise more than 80% of the population, Qataris contributed 20% of the total cardiac arrests observed. There are significant opportunities to improve outcomes, including community-based CPR and defibrillation training.