Paramedic clinical decision-making: results of two Canadian studies Abstract
Transcription
Paramedic clinical decision-making: results of two Canadian studies Abstract
Clinical Paramedic clinical decision-making: results of two Canadian studies Jan Jensen is a Provincial Research Leader, Emergency Health Services and Lecturer, Dalhousie University. Email for correspondence: [email protected] Abstract Paramedics make many decisions while caring for patients in the out-of-hospital setting, including clinical judgments, such as assessment, treatment and transport decisions. As the decisions paramedics make can have an impact on patient safety and clinical outcome, it is important to focus on which clinical decisions are most important, when paramedics are required these, and how paramedics make clinical decisions, that is, what thinking strategies they rely on. This article will present the results of two recent Canadian studies, and will discuss the implications for paramedic clinical practice, education and research on this topic. Key words l Clinical decision-making l Paramedics l Scene management l Think aloud Accepted for publication 2 February 2011 P aramedics are responsible for treating and transporting patients in need of urgent care. In North America, paramedics have been referred to as the backbone of the out-of-hospital emergency care system (Institute of Medicine (IoM), 2006), and the safety net of healthcare (Ross, 2010). The decisions paramedics make while assessing and treating patients can have a major impact on the care delivered and the resultant clinical outcome (morbidity and mortality) and safety of the patient (IoM, 2006). This is especially true as the diagnostics and interventions paramedics administer become more complex and their scope of practice continues to evolve and expand (Paramedic Association of Canada, 2001; Emergency Medical Services Chiefs of Canada, 2006). EMS in Canada In most Canadian emergency medical services (EMS) systems, clinical protocols or medical directives direct paramedic care. EMS medical directors create these documents, based on existing norms and standard practice, using their judgment on what will be most successful in the local system. 186 Protocols are often presented in algorithm format, and are analogous to ‘practice standards’, which are definitions of the correct practice, with few treatment options, intended to be followed explicitly (Eddy, 1990). Adherence to protocols often a main measure of the quality of care delivered. Patients who require assistance from EMS are found in a variety of locations, making the practice of paramedicine more unpredictable than in-hospital settings, including the emergency department. In some situations, paramedics have fewer clinical resources, including a lack of other skilled practitioners, incomplete patient medical histories, and even the events that precipitated the emergency call may be unclear. In combination with this, many EMS patients have high acuity, timesensitive conditions, whether medical or trauma. These and other factors are why EMS is often called an ‘uncontrolled setting’ (Nelson, 1997). Given this context, it is essential to learn more about paramedic clinical decision-making (CDM). This article will focus on paramedic clinical decision-making, specifically, the judgments paramedics make that pertain to assessment, treatment and transport decisions. Two recent Canadian paramedic research studies will be discussed, along with the implications of this work on paramedic clinical practice, education, and future research. The goal of these projects was to learn more about what clinical decisions paramedics make that are most important for patient safety and clinical outcome, and how paramedics make clinical decisions. There has been little work done on paramedic CDM to date, so this work was intended to generate interest on this topic and be a catalyst for future research. Emergency call scene management Caring for a patient in the out-of-hospital setting can be challenging. What distinguishes paramedics from other health providers are not the diagnostics international • Journal of Paramedic Practice Clinical Table 1. Important clinical decisions made by paramedics during high activity emergency calls. Code Decision S-1 S-2 A-1 A-2 A-3 S-3 T-1 T-2 T-3 T-4 T-5 T-6 D-1 D-2 D-3 D-4 D-5 D-6 D-7 D-8 D-9 AW-1 AW-2 AW-3 AW-4 AW-5 AW-6 AW-7 AW-8 AW-9 C-1 C-2 C-3 C-4 C-5 C-6 C-7 AW-10 AW-11 AW-12 AW-13 S-4 Recognize potential hazards (e.g., people, animals, environment, chemical/radiological/biological risks) - Scene safety Decide to check for/triage patients at scene with several patients Initial assessment: is patient critical or not; level of distress/acuity, decide whether to start treatment right away, or complete assessment Recognize signs of life-threatening trauma Decide if patient has capacity to refuse or consent Decide when to leave scene vs. manage/tx on scene (load & go vs. stay & play) Deciding on appropriate treatment Determine if patient requires immediate treatment or can wait til en route, arrival at ED Recognize contraindications/reason to withhold therapy Reassess patient after giving a treatment - decision on next action (stop drug, change, give another dose, etc) Decision to change care plan (switch protocol/med directive) based on patient changes Decide how to manage labour & delivery Provide ASA Give epinephrine for anaphylaxis Give epinephrine for severe asthma Give epinephrine for pediatric shock Decide to give TNK for STEMI Provide bronchodilators Decide to use drugs to facilitate intubation (sedation, opiates, paralytics) Decide on drug for tachycardia (amiodarone/lidocaine/adenosine) Decide whether to administer vasopressor Decide on manual airway positioning - if necessary and how (head tilt, jaw thrust, etc) Decide to insert airway adjuncts (OPA, NPA) Decide to use supraglottic device (King LT, Combitube, LMA), ETI or BMV Provide positive pressure ventilation with BVM in respiratory distress Decide whether to attempt intubation in pediatric patient Decide whether to attempt intubation in major trauma patient Decide to use CPAP Decide to perform chest needle decompression How to clear obstructed airway (Heimlich maneuver, suction, forceps) Start CPR Begin chest compressions on decompensated child (shock) Remind/correct chest compressor on CPR quality; have chest compressors switch Decision to defibrillate Analyze cardiac rhythm (3 or 4 lead strip) Interpreting 12 lead ECG Decide on electrical cardioversion or medications for SVT Decide how to confirm intubation Decide to extubate if unsure of placement Failed attempt at intubation - try again for ETI or switch to supraglottic device or BVM Decide whether to perform cricothyroidotomy Decide most appropriate destination (trauma, heart, stroke centre, community ED, other) and interventions they use to assess and treat patients, but rather where they practice (Campeau, 2008: 286). Campeau (2008), a Canadian paramedic who conducted research on paramedic scene management, commented: ‘Paramedics must ‘fit’ medical procedures Journal of Paramedic Practice • International into their work context; consequently, paramedic practice is a unique type of care. Paramedics achieve the remarkable objective of transforming everyday, uncontrolled locations where emergencies occur into settings that can be used to effectively deliver emergency care’ (Campeau, 2008: 286). 187 Clinical Table 2. Characteristics of dual process theory Characteristic Type I Cognitive style Intuitive/heuristic Awareness Low Conscious control Low Automaticity High Cost/effort Low Rate Fast Slow ReliabilityLow High Errors Vulnerable to error Predictive power Low Emotional valence High Detail on judgment process Low Scientific rigour Low Type II Analytical/ systematic High High Low High Few but large High Low High High From: Croskerry, 2009b: 214 A schema, a concept from cognitive psychology, is the general information an individual acquires and organizes in their mind about an experience (Matlin, 2003). Schemas provide a cognitive template for what to expect when entering into a particular situation. Paramedic students quickly learn the schema of a typical emergency call: receive dispatch information, arrive on scene, conduct an assessment, perform initial treatment, move the patient to ambulance, perform repeated assessments and treatments en route, arrive at destination, give report and transfer care of the patient. These phases form the major events that occur in an emergency call. Process mapping allows for events that occur during a particular situation to be viewed in a linear fashion, which can increase understanding of the factors at play during a particular process. They are valuable not only to recognize areas where errors currently occur, but more importantly, to prospectively identify processes most vulnerable to adverse events (DeRosier et al, 2002). Process maps have been created to find areas susceptible to clinical error in the emergency department (Croskerry et al, 2006), and to outline the sub-processes required during out-of-hospital rapid sequence intubation (Blanchard et al, 2009). Consensus on paramedic clinical decisions during high acuity emergency calls: results of a Canadian Delphi study The objective of this study was to learn more about 188 the most important decisions paramedics make during emergency calls, in terms of clinical outcome and patient safety, and to visualize those decisions on a process map of an emergency call (Jensen et al, 2009; Jensen et al, 2011). Advanced care paramedics and EMS medical directors (emergency physicians who provide clinical oversight to paramedics working in the EMS setting) from across Canada participated in this multi-round online Delphi survey. The purpose of the survey was to achieve consensus among the group on the most important clinical decisions paramedics make. In round I, participants listed all the clinical decisions made by paramedics during high acuity emergency calls they believed to be important for patient safety and clinical outcome. In Round II, participants scored each decision on a 1–5 scale on its importance for patient outcome and safety. In rounds III and IV, participants could revise their scores. If 80% or more of the panel scored a decision important or extremely important, it was included in the final list of important clinical decisions. Included decisions were categorized and plotted on a process map of a typical emergency call. The panel (17 paramedics, 7 medical directors; mean 16.5 years experience) achieved consensus on 42 important clinical decisions, grouped into six categories: airway management (n=13 decisions); assessment (n=3); cardiac management (n=7); drug administration (n = 9); general treatment (n=6); and scene management (n=4). The airway management and cardiac management categories had the highest mean scores (4.49/5). Table 1 displays the list of included important clinical decisions. Decision density is the number of decisions that must be made simultaneously or over a short period of time (Croskerry 2009c: 408). The on-scene treatment phase of the process map of a typical emergency call appears to have the highest decision density (Appendix 1). For paramedics, scene management is an essential component of their duties. Metz stated, ‘the measure of a man or woman doing paramedic work is always decided at the scene (1981: 93). Identification of areas of high decision density brings into focus point(s) of the call that have an increased susceptibility to near misses, adverse events and errors (Chisholm and Croskerry, 2009). The on-scene treatment phase is the period of a typical emergency call when paramedics deal with variable settings (outside the ambulance) and are likely to have the least amount of clinical support (e.g., when paramedics arrive on scene and then call for another crew for assistance). While not all of the decisions on the map happen during each emergency call, the map is valuable for increasing awareness of when paramedics are likely to be international • Journal of Paramedic Practice Clinical Table 3. Thinking strategy Name Type Event driven I therapy Intuition I Pattern Recognition I Exhaustive II Hypotheticodeductive II Algorithmic II by proxy Rule out worst scenario II by proxy Details Treat symptoms and then re-evaluate with further evaluation, depending on response to Decisions made without conscious thought Combination of salient features establish likely diagnosis with corresponding evaluation and management plan Accumulate facts indiscriminately and then sift through them for diagnosis Inference based on preliminary findings, idea modification based on subsequent findings, response to therapy & exclusion of competing possibilities Preset diagnosis or treatment pathway, based on pre-established criteria Consideration of pre-existing ‘can’t miss’ list of diagnosis for presenting condition From: Sandhu and Carpenter 2006: 716 inundated with many decisions. This process map was not intended to be a representation of the thinking process that occurs in a paramedic’s mind (consciously or subconsciously), as decision-making itself may not occur in a linear fashion. However, the main events of an emergency ambulance call (call dispatched, paramedics en route, patient contact, etc.) are generally predictable, and in most instances an emergency call is a linear process through time. Thinking about clinical decisionmaking In many EMS systems, paramedics use clinical protocols to help guide the care they deliver. A traditional assumption has been that paramedics make most of their clinical decisions by choosing the most appropriate protocol and following it from memory (i.e., algorithmic thinking), but this is probably not a sufficient explanation for how paramedics actually make decisions in practice (Bigham et al, 2010). Clinical decision-making has been explored by other health professionals and disciplines of study. The dual process theory is the predominant decision-making theory in cognitive psychology (Table 2). The theory divides decision-making into two processes. Type I thinking, often referred to as subconscious thinking, is reflexively employed when mental short cuts are used to make decisions, without conscious thought, and is essential for minimizing thinking effort (Evans, 2008). Type 2 thinking underlies the decisions that require purposeful contemplation and analytic thought. Although Type 1 processes are more prone to error, they are effective in minimizing reaction time, avoiding ‘paralysis by analysis’ (Croskerry, 2009a). Journal of Paramedic Practice • International For example, a novice paramedic may feel unsure about how to approach an unresponsive trauma patient, but as they gain experience, the cervical spine is immediately held still without conscious deliberation. Type 2 processes are engaged in more complex situations, when a decision cannot be made quickly. In this mode of thinking, the thinker must weigh the pros and cons of each option and make a conscious decision on the best fit. A paramedic may decide a patient’s chest pain is cardiac in origin, rather than musculoskeletal, after they have conducted a physical exam, a patient interview and collected diagnostic data such as electrocardiogram and vital signs. The paramedic may make the decision with purposeful deliberation between the competing possibilities (using Type 2 processes), or it may be instantly made by recognizing the combination of presenting symptoms as likely cardiac (such as crushing retrosternal pain, nausea, sweating). Subsequent actions are based on this pivotal decision. Another category of thinking strategies exists, which don’t readily fall into either Type I or Type 2 processes. The term ‘Type 2-by proxy’ refers to situations in which clinicians use thinking ‘tools’ to speed decision-making. These tools, such as algorithms, clinical prediction tools, and differential diagnosis lists, have been developed by experts using Type 2 processes, typically by heavily referring to research evidence. Clinicians memorize the tool and during the patient encounter, the steps or list is recalled. An example of this would be working through a resuscitation guideline while managing a cardiac arrest (i.e., algorithmic thinking). Several thinking strategies have been proposed on how emergency physicians make decisions (Sandhu and Carpenter, 2006) (Table 3). Each of these strategies 189 Clinical Table 4. Thinking strategies used by paramedics Type Total decisions Trauma decisions Medical decisions I (event-driven, pattern recognition, intuition) II (hypotheticodeductive, exhaustive) II-by Proxy (algorithmic, ROWS) 78 60 137 60 34 80 18 26 57 ROWS = rule out worst scenario can be categorized as employing Type 1, Type 2 or Type 2-by proxy processes. Clinical decision-making by Canadian advanced care paramedics: a think aloud study. In this study, Canadian advanced care paramedics (ACP) verbalized their reasoning while working their way through two scenarios of emergency calls (one trauma and one medical) ( Jensen et al, unpublished observations, 2010). The Think Aloud technique was used to identify the decisions made and thinking strategies used by the participants during the verbal ‘paper patient’ scenarios. Purposeful sampling was used to create an equally mixed sample of novice (less than two years experience at the ACP level) and experienced participants (greater than two years experience at this level). Following the Think Aloud technique, participants were encouraged to stop and explain why they made each assessment, treatment and transport decision during the audio-recorded scenarios (Fonteyn et al, 1993). The clinical decisions made and thinking strategies used were identified in the interview transcripts. During analysis, investigators matched the participants’ explanation of their decisionmaking and the context of each decision to one of seven predefined thinking strategies (Table 3, hypotheticodeductive, exhaustive, algorithmic, rule out worst scenario (ROWS), event-driven, pattern recognition and intuition) (Sandhu and Carpenter, 2006). Eight ACPs with a mean 9.6 years of overall paramedic experience (SD 6.7) participated. Twenty-nine decisions were made in the trauma scenario. Eighteen decisions were made in the medical scenario. In the trauma scenario, participants used Event-driven and Algorithmic thinking most frequently. In the medical scenario, Algorithmic and ROWS were employed the most. Event-driven thinking was used more often in the trauma scenario compared to the medical scenario (45 decisions vs 0, t-test, P<0.001), otherwise no 190 differences in thinking strategy used by scenario types were found. Decisions in both scenarios were made most by using Type 2-by proxy thinking strategies (Table 4). The novice paramedics failed to verbalize a significantly larger number of decisions than the experienced paramedics in both scenarios (mean 8.50 decisions not made per participant versus mean 4.12 decisions not made per participant, t-test, P< 0.05). Differences in thinking strategies used were not found between the novice and experienced ACPs. It is possible that the thinking strategies paramedics use do not change significantly with more experience. A major limitation of the Think Aloud study is intuition cannot be directly measured. The requirement to think aloud and verbally report on decisions may bear no direct relationship to any intuitive thinking that might have occurred, and may even change it (Hogarth, 2005; Nisbett and DeCamp Wilson, 1977). Therefore, it is possible paramedics rely on Type 1 processes to a greater extent than could be detected in this study. Some health professionals do not believe algorithms and clinical prediction rules can outperform clinical judgment (Paley, 2007), and may feel these are a threat to their decision-making autonomy and lead to inflexible care plans. However, several reviews and one meta-analysis comparing clinical judgment to clinical predication rules found that these tools are almost always more accurate, and often require less clinical information than individual clinician judgment (Grove et al, 2000). Therefore, in chaotic or time-sensitive situations, it is preferable for paramedics to use decision tools, rather than rely on Type 1 processes, which can be influenced by bias, the emotional state of the thinker, and inappropriate use of mental short cuts (Croskerry, 2005, 2010). It is also preferable to taking too much time deliberating each competing hypothesis or decision option using Type 2 processes before acting (Croskerry, 2009b). Although small and exploratory, this study contributed evidence to dispel assumptions that may exist that paramedics solely rely on algorithmic thinking to make clinical decisions. This finding international • Journal of Paramedic Practice Clinical provides us with new challenges: if paramedics use more than one thinking strategy, which are the best for which situations? Also, how can we teach paramedics to recognize their own thinking strategies? Implications of clinical decisionmaking research Implications for future paramedic research The two studies have generated further research questions about paramedic CDM. This is a complex topic, and many studies are required to build a cohesive body of knowledge in this area, as it applies to paramedic practice. Future paramedic research questions that can be asked with the Think Aloud technique include: the impact of paramedic variables on thinking strategy, such as paramedic level, call volume (rural compared to urban service), work setting (ground ambulance versus air), and type of paramedic education (full-time diploma, parttime diploma, undergraduate degree). Think aloud studies could be conducted in a simulation lab, to give participants a more realistic sense of an emergency call. Further, it would be possible to have paramedics think aloud while they are working the ambulance setting, in order to determine thinking strategies in real time (Fonteyn and Fisher, 1995; Aitken and Mardegan, 2000). Other aspects of clinical reasoning can be explored, including the use of mental short cuts by paramedics. Finally, paramedics make decisions during emergency calls that are unique to that profession. These factors may include timing (how long to spend on scene, how many interventions can be done in the time it takes to get to the hospital) and clinical support (do I have the time or hands to call the medical director for advice, should I call for another paramedic crew or medical first responders to help?). Studies like these are important for developing the field of clinical decision-making further, in order to understand more about how CDM varies, and the impact on patient outcome and safety. The field of decision-making is multi-faceted, and includes theory and research from psychology, philosophy, neuroscience, statistics, computer science and others (Croskerry, 2000). The academic work of these scientific disciplines needs to be interpreted and applied to the real time setting of paramedics. Implications for paramedic education Through didactic learning, and even more so, during their clinical preceptorship, student paramedics learn how to manage an emergency call in a routine fashion. This occurs with the Journal of Paramedic Practice • International establishment of an emergency call schema in their memory. This seems to happen naturally over the course of preceptorship, which involves bridging the theory to practice gap through observation, repetition, and following the actions of experts (their paramedic preceptors) (Boyle et al, 2008). While students may quickly learn the process of an emergency call, it is more difficult to develop an understanding of how decisions are made. Much has been written about medical education and the importance of teaching quality clinical reasoning through examples (Kassirer and Kopelman, 1989). In typical paramedic education, students learn and are tested extensively with simulation. These scenarios should test thinking strategies, not just clinical conditions and treatment paths (Kassirer and Kopelman, 1989). Paramedic educators should feed information (such as past medical histories) to the student slowly, to replicate how it is uncovered in real life (Kassirer, 1983). Every time a student asks a question, requests more information, or performs an assessment or treatment task, the scenario should pause and the student explain why they are making the decision, recognizing the benefits and pitfalls of the process used. Through this type of exercise, students can learn how to use different thinking strategies (Banning, 2008b). For instance, they can increase their ability to tap into Type 2 processes by pausing, developing hypotheses, and ruling them in or out as new information becomes available. This would be a departure from the tradition of teaching decision-making by following algorithms. Similarly, when paramedic students are in the clinical phase of their training, their preceptors should probe them about why they are making each decision, and discuss different thinking strategies. If this is not possible to do in real-time during the call, the questioning and discussion should ensue immediately after the call is complete. In addition to teaching paramedics how to appreciate different thinking strategies, paramedic educators should specifically discuss which clinical decisions are important, and require deliberate, conscious decision-making, versus those decisions safely and effectively made with intuitive or unconscious thinking strategies. Given that the decisions paramedics make can have a major impact on some patients’ outcomes, it is important for all students to learn about how decisions are made. A rigorous study should be conducted, comparing student decision-making between a group that has received a module on CDM and those who have not. The outcome might determine if paramedic CDM should become a mandatory competency for paramedic education. 191 Clinical Key points llThe highest density of important decisions paramedics make occurs during the on-scene treatment phase of an emergency call. llParamedics likely rely on several different thinking strategies, each of which fit into either Type I processes (intuitive, subconscious thinking), Type 2 processes (conscious, deliberate, analytic thought), or Type 2-by proxy (using a thinking tool) of Dual Process Theory. llIt appears paramedics rely on Type 2-by proxy thinking strategies most frequently, which includes algorithmic thinking and ruling out the worst case scenario. llParamedic clinical decision-making should be a focus during paramedic research, education and clinical practice. focus on the events of the call and the decisions made, and also what they were thinking and feeling at the time. This metacognitive exercise would inevitably lead to improvements in clinical practice as paramedics learn more about how they make decisions during emergency situations. This information is at least as important to share as the clinical details. Further to this, paramedics should be encouraged to write up case reports of calls that required challenging decision-making. As an example, Campbell et al (2007) published a case report that included a detailed analysis of cognitive biases that resulted in an important diagnosis being missed in an emergency department patient. Perhaps through the incentive of continuing education credits, paramedics should be encouraged to submit and share case reports of this nature. Implications for paramedic practice Conclusion Croskerry et al (2000) proposed that each health discipline should identify meaningful patterns in their own practice that are prone to error. The on-scene treatment phase of emergency calls was found to have the highest decision density, and therefore increased vulnerability to error and subsequent adverse events (Croskerry and Sinclair, 2001). This knowledge has important repercussions. Continuous quality improvement (CQI) paramedics and medical directors are tasked with ensuring the quality of care is high and risk of error is low. It would seem important that they work closely with paramedics who have made clinical errors, and encourage them to reflect on their thinking and try new strategies, instead of only focusing on the clinical aspect of the error. It is imperative for CQI paramedics to be aware of the decisions that were found to be the most important for patient outcome and safety, and seek these out while conducting clinical audits of emergency calls. Morbidity and mortality (M&M) rounds have a long-standing tradition in EMS. In these sessions, paramedics and medical directors gather to discuss emergency calls that were challenging or resulted in an adverse event (Cosby, 2009). The operational and clinical aspects of the call are discussed, and consensus is reached between the presenting paramedic and his or her colleagues on what the most ideal actions would have been. It is rare for a presenter to discuss the thinking strategies they used. Presenters should be encouraged to conduct a cognitive autopsy as soon as possible after the call, in order to maximize recall. Cognitive autopsies are ‘a form of cognitive and affective root cause analysis’ (Croskerry, 2005: 10). During M&M sessions, the paramedic should 192 High quality care is achieved when practitioners make clinical decisions that are safe and effective. Paramedics often make decisions while working in variable settings, unique from other healthcare providers. The on-scene phase of an emergency call has the highest important decision density; it is important for paramedics to be aware of this in order to minimize adverse events. In their work, Paramedics engage a spectrum of decisionmaking strategies in their work that include Type 1 processes, Type 2 processes, and Type 2 –by proxy tools, that typically involve the use of algorithms, clinical decision rules, and practice guidelines. CDM is a topic of utmost importance to the development of the paramedic profession. Conflict of interest: The studies described in this article were supported by a studentship grant from the Canadian Patient Safety Institute. Acknowledgement: The authors acknowledge Dr. Sam Campbell for his thoughtful feedback on the research, and the paramedics and EMS medical directors who participated in the studies. Aitken LM, Mardegan KJ (2000) ‘Thinking aloud’: Data collection in the natural setting. West J Nurs Res 22(7): 841–53 Banning M (2008a) Clinical reasoning and its application to nursing: Concepts and research studies. Nurs Ed Pract 8(3): 177–83 Banning M (2008b) The think aloud approach as an international • Journal of Paramedic Practice Clinical educational tool to develop and assess clinical reasoning in undergraduate students. Nurs Ed Today 28(1): 8–14 Barrows HS, Norman GR, Neufeld VR et al (1982) The clinical reasoning of randomly selected physicians in general medical practice. Clin Invest Med 5(1): 49–55 Benner P (1984) From novice to expert: Excellence and power in clinical nursing practice. Addison-Wesley, Menlo Park, CA Benner P, Tanner C (1987) Clinical judgment: How expert nurses use intuition. Am J Nurs 87(1): 23–31 Bigham BL, Bull E, Morrison M et al (2010) Patient safety in emergency medical service: advancing and aligning the culture of patient safety in EMS. http://tinyurl.com/3h4nun9 (accessed 11 August 2011) Blanchard I, Clayden D, Vogelaar G et al (2009). Adult prehospital rapid-sequence intubation process map: A clinical management tool. Prehosp Emerg Care 13(1): 126 (abstract) Boyle MJ, Williams B, Cooper J, Adams B, Alford K (2008). Ambulance clinical placements – A pilot study of students’ experience. BMC Medical Education 8: 19. Campbell SG, Croskerry P, Bond WF (2007) Profiles in patient safety: A ‘perfect storm’ in the emergency department. Acad Emerg Med 14(8): 743–9 Campeau AG (2008) The space-control theory of paramedic scene-management. Symb Interact 31(3): 285–302 Chisholm CD, Croskerry P (2009) Critical Processes in the Emergency Department. In: Croskerry P, Cosby KS, Schenkel SM et al (eds.) Patient safety in emergency medicine. Wolters Kluwer Health/Lippincott Williams & Wilkins, Philadelphia PA: 89–95 Cosby KS (2009) Patient safety curriculum. In: Croskerry P, Cosby KS, Schenkel SM et al (eds.) Patient safety in emergency medicine. Wolters Kluwer Health/Lippincott Williams & Wilkins, Philadelphia, PA Croskerry P (2000) The cognitive imperative: thinking about how we think. Acad Emerg Med 7(11): 1223–31 Croskerry P, Sinclair D (2001) Emergency medicine: A practice prone to error? CJEM 3(4): 271–6 Croskerry P (2005) Diagnostic failure: A cognitive and affective approach. In: Agency for Healthcare Research and Quality (ed.) Advances in patient safety: From research to implementation: 1-14. http://tinyurl.com/3savthn (accessed 11 August 2011) Croskerry P, Shapiro M, Perry S et al (2006) Process improvement and error management in the ED. In: Marx JA, Hockberger R, Walls R (eds.) Rosen’s emergency medicine: concepts and clinical practice. 6th ed. St. Louis, Missouri, USA: MD Consult Croskerry P (2009a) How could I have been that stupid? Healthcare Quarterly 12: 167–73 Croskerry P (2009b) Critical thinking and reasoning in emergency medicine. In: Croskerry P, Cosby KS, Schenkel SM et al (eds.) Patient safety in emergency medicine. Wolters Kluwer Health/Lippincott Williams & Wilkins, Philadelphia PA Croskerry P, Cosby KS, Schenkel SM et al (eds.) (2009c) Patient safety in emergency medicine. Wolters Kluwer Health/ Lippincott Williams & Wilkins, Philadelphia, PA. Croskerry P, Abbass A, Wu A (2010) Emotional issues in patient safety. J Patient Safety 6:1–7 DeRosier J, Stalhandske E, Bagian JP et al (2002) Using health care failure mode and effect analysis: The VA national centre for patient safety’s prospective risk analysis system. J Qual Improv 28(5): 248–67 Eddy DM (1990) ‘Clinical decision-making: From theory to practice. practice policies--guidelines for methods’. The Journal of the American Medical Association 263(13): 1839–41 Journal of Paramedic Practice • International EMS Chiefs of Canada (2006) The future of EMS in Canada: Defining the road ahead. http://tinyurl.com/3zmmm2 (accessed 11 August 2011) Evans JS (2008) Dual-processing accounts of reasoning, judgment, and social cognition. Ann Rev Psych 59: 255–78 Fonteyn ME, Kuipers B, Grobe SJ (1993) A description of think aloud method and protocol analysis. Qual Health Res 3(4): 430–41 Fonteyn M, Fisher A (1995) Use of think aloud method to study nurses’ reasoning and decision-making in clinical practice settings. J Neurosci Nurs 27(2): 124–8 Grove WM, Zald DH, Lebow BS et al (2000) Clinical versus mechanical prediction: A meta-analysis. Psych Assess 12(1): 19–30 Groves M, O’Rourke P, Alexander H (2003a) The clinical reasoning characteristics of diagnostic experts. Med Teach 25(3): 308–13 Groves M, O’Rourke P, Alexander H (2003b) Clinical reasoning: The relative contribution of identification, interpretation and hypothesis errors to misdiagnosis. Med Teach 25(6): 621–5 Hogarth RM (2005) Deciding analytically or trusting your intuition? The advantages and disadvantages of intuitive thought. In: T Betsch, S Haberstroh (eds.) The routines of decision-making. L. Erlbaum Associates, Mahwah, NJ: 67–82 Institute of Medicine (2006) Emergency medical services: At the crossroads. http://tinyurl.com/3day4b3 (accessed 11 August 2011) Jensen JL, Croskerry P, Travers AH (2009) Paramedic clinical decision-making during high acuity emergency calls: Design and methodology of a Delphi study. BMC Emergency Medicine 9: 17 Jensen JL, Croskerry P, Travers AH (In press) Consensus on paramedic clinical decisions during high acuity emergency calls: results of a Canadian Delphi study. CJEM (in press) Kassirer JP (1983) Teaching clinical medicine by iterative hypothesis testing. Let’s preach what we practice. NEJM 309(15): 921–3 Kassirer JP, Kopelman RI (1989) Learning clinical reasoning from examples. Hosp Pract (Office Ed.) 24(3): 27, 32–4, 44–5 Matlin MW (2003) Cognition (5th ed.) John Wiley and Sons, Hoboken, NJ Metz DL (1981) Running hot: structure and stress in ambulance work. Abt Books, Cambridge, MA Nelson BJ (1997) Work as a moral act: How emergency medical technicians understand their work. Between craft and science: Technical work in US settings. Cornell, New York, NY Nisbett RE, DeCamp Wilson T (1977) Telling more than we can know: verbal reports on mental processes. Psych Rev 84(3): 231–59 Offredy M (2002) Decision-making in primary care: Outcomes from a study using patient scenarios. J Adv Nurs 40(5): 532–41 Paley J, Cheyne H, Dalgleish L, Duncan EA et al (2007) Nursing’s ways of knowing and dual process theories of cognition. J Adv Nurs 60(6): 692–701 Paramedic Association of Canada (2001) National occupational competency profile. http://tinyurl.com/43qjv9h (accessed 11 August 2011) Ross J (2010) The patient journey through emergency care in Nova Scotia: a prescription for new medicine. http://tinyurl. com/3qoc87t (accessed 11 August 2011) Sandhu H, Carpenter C (2006) Clinical decisionmaking: Opening the black box of cognitive reasoning. Ann Emerg Med 48(6) 713–9 Schmidt HG, Rikers RM (2007) How expertise develops in medicine: knowledge encapsulation and illness script formation. Med Ed 41(12): 1133–9 193 Clinical Appendix. Process map of an emergency call Ambulance call dispatched (start) Paramedics en route S-1 Paramedics arrival on scene A-1 S-2 Patient contact A-2 A-3 AW-1 Assessment AW-2 AW-3 AW-4 AW-5 AW-7 S-3 T-2 AW-6 AW-8 AW -12 D-1 C-1 C-3 C-2 D-2 D-3 C-4 AW -11 T-3 On-scene treatment AW-9 AW -10 T-1 C-6 C-5 D-4 C-7 D-8 D-7 AW -13 T-4 D-6 D-5 T-5 D-9 T-6 Departure S-4 En route treatment Arrival Patient hand-over (end) 194 No transpoprt (end) Symbol Meaning S A T AW C D Scene management decisions Assessment decisions General treatment decisions Airway management decisions cardiac management decisions Drug administration decisions Terminal (start, end) Processes international • Journal of Paramedic Practice