Toward the eradication of medical diagnostic errors.

The medical community does not broadcast the problem, but there are many studies that have reinforced a serious issue with diagnostic errors. A recent study concluded: "We estimate that nearly 800,000 Americans die or are permanently disabled by diagnostic errors each year." Diagnostic errors are inaccurate assessments of a patient's root cause of illness, such as missing a heart attack or infection or assigning the wrong diagnosis of pneumonia when the correct one is pulmonary embolism. Despite ever-increasing use of medical imaging and laboratory tests intended to promote diagnostic accuracy, there is nothing to suggest improvement since the report by the National Academies of Sciences, Engineering and Medicine in 2015, which provided a conservative estimate that 5% of adults experience a diagnostic error each year, and that most people will experience at least one in their lifetime.

Potential severe pediatric SARS-CoV-2-induced multisystem inflammatory syndrome resembles dengue infection.

We describe a child with acute fever and abdominal pain who developed rash and edema of extremities. Blood test revealed thrombocytopenia, lymphopenia, positive dengue-IgM, and hypoalbuminemia with elevated procalcitonin. Right pleural effusion revealed from chest x-ray. Diagnosed as dengue hemorrhagic fever (DHF) grade 1, however, at 7th day of illness, altered mental status, respiratory and circulatory failure occurred. Laboratory examination showed marked thrombocytopenia, transaminitis, metabolic acidosis, elevated D-dimer, decrease fibrinogen, and elevated cardiac marker (troponin I and CKMB). The patient then developed catecholamine-resistant shock and did not survive after 48 hours. Although rapid test of SARS CoV-2 infection was negative, rapid deterioration with some unusual clinical feature suggest multisystem inflammatory syndrome in children (MIS-C) related to SARS-CoV-2 infection. This case raises an awareness of MIS-C that clinical features resemble dengue infection.

Place and Underlying Cause of Death During the COVID-19 Pandemic: Retrospective Cohort Study of 3.5 Million Deaths in England and Wales, 2014 to 2020.

OBJECTIVE: To describe the place and cause of death during the coronavirus disease 2019 (COVID-19) pandemic to assess its impact on excess mortality. METHODS: This national death registry included all adult (aged ≥18 years) deaths in England and Wales between January 1, 2014, and June 30, 2020. Daily deaths during the COVID-19 pandemic were compared against the expected daily deaths, estimated with use of the Farrington surveillance algorithm for daily historical data between 2014 and 2020 by place and cause of death. RESULTS: Between March 2 and June 30, 2020, there was an excess mortality of 57,860 (a proportional increase of 35%) compared with the expected deaths, of which 50,603 (87%) were COVID-19 related. At home, only 14% (2267) of the 16,190 excess deaths were related to COVID-19, with 5963 deaths due to cancer and 2485 deaths due to cardiac disease, few of which involved COVID-19. In care homes or hospices, 61% (15,623) of the 25,611 excess deaths were related to COVID-19, 5539 of which were due to respiratory disease, and most of these (4315 deaths) involved COVID-19. In the hospital, there were 16,174 fewer deaths than expected that did not involve COVID-19, with 4088 fewer deaths due to cancer and 1398 fewer deaths due to cardiac disease than expected. CONCLUSION: The COVID-19 pandemic has resulted in a large excess of deaths in care homes that were poorly characterized and likely to be the result of undiagnosed COVID-19. There was a smaller but important and ongoing excess in deaths at home, particularly from cancer and cardiac disease, suggesting public avoidance of hospital care for non-COVID-19 conditions.

Prognostication in urgent intensive care unit referrals: a cohort study.

OBJECTIVES: Prognostication is an essential ability to clinicians. Nevertheless, it has been shown to be quite variable in acutely ill patients, potentially leading to inappropriate care. We aimed to assess the accuracy of physician's prediction of hospital mortality in acutely deteriorating patients referred for urgent intensive care unit (ICU) admission. METHODS: Prospective cohort of acutely ill patients referred for urgent ICU admission in an academic, tertiary hospital. Physicians' prognosis assessments were recorded at ICU referral. Prognosis was assessed as survival without severe disabilities, survival with severe disabilities or no survival. Prognosis was further dichotomised in good prognosis (survival without severe disabilities) or poor prognosis (survival with severe disabilities or no survival) for prediction of hospital mortality. RESULTS: There were 2374 analysed referrals, with 2103 (88.6%) patients with complete data on mortality and physicians' prognosis. There were 593 (34.4%), 215 (66.4%) and 51 (94.4%) deaths in the groups ascribed a prognosis of survival without disabilities, survival with severe disabilities or no survival, respectively (p<0.001). Sensitivity was 31%, specificity was 91% and the area under the receiver operating characteristic curve was 0.61 for prediction of mortality. After multivariable analysis, severity of illness, performance status and ICU admission were associated with an increased likelihood of incorrect classification, while worse predicted prognosis was associated with a lower chance of incorrect classification. CONCLUSIONS: Physician's prediction was associated with hospital mortality, but overall accuracy was poor, mainly due to low sensitivity to detect risk of poor prognosis.

Diagnostic error increases mortality and length of hospital stay in patients presenting through the emergency room.

BACKGROUND: Diagnostic errors occur frequently, especially in the emergency room. Estimates about the consequences of diagnostic error vary widely and little is known about the factors predicting error. Our objectives thus was to determine the rate of discrepancy between diagnoses at hospital admission and discharge in patients presenting through the emergency room, the discrepancies' consequences, and factors predicting them. METHODS: Prospective observational clinical study combined with a survey in a University-affiliated tertiary care hospital. Patients' hospital discharge diagnosis was compared with the diagnosis at hospital admittance through the emergency room and classified as similar or discrepant according to a predefined scheme by two independent expert raters. Generalized linear mixed-effects models were used to estimate the effect of diagnostic discrepancy on mortality and length of hospital stay and to determine whether characteristics of patients, diagnosing physicians, and context predicted diagnostic discrepancy. RESULTS: 755 consecutive patients (322 [42.7%] female; mean age 65.14 years) were included. The discharge diagnosis differed substantially from the admittance diagnosis in 12.3% of cases. Diagnostic discrepancy was associated with a longer hospital stay (mean 10.29 vs. 6.90 days; Cohen's d 0.47; 95% confidence interval 0.26 to 0.70; P = 0.002) and increased patient mortality (8 (8.60%) vs. 25(3.78%); OR 2.40; 95% CI 1.05 to 5.5 P = 0.038). A factor available at admittance that predicted diagnostic discrepancy was the diagnosing physician's assessment that the patient presented atypically for the diagnosis assigned (OR 3.04; 95% CI 1.33-6.96; P = 0.009). CONCLUSIONS: Diagnostic discrepancies are a relevant healthcare problem in patients admitted through the emergency room because they occur in every ninth patient and are associated with increased in-hospital mortality. Discrepancies are not readily predictable by fixed patient or physician characteristics; attention should focus on context. TRIAL REGISTRATION: https://bmjopen.bmj.com/content/6/5/e011585.

American vs. European Trauma Centers: A Comparison of Preventable Deaths. / Comparación de la mortalidad evitable de un trauma center americano vs. un centro de referencia europeo.

INTRODUCTION: The aim is comparing the quality of care at a typical American trauma center (USC) vs. an equivalent European referral center in Spain (SRC), through the analysis of preventable and potentially preventable deaths. METHODS: Comparative study that evaluated trauma patients older than 16 years old who died during their hospitalization. We cross-referenced these deaths and extracted all deaths that were classified as potentially preventable or preventable. All errors identified were then classified using the JC taxonomy. RESULTS: The rate of preventable and potentially preventable mortality was 7.7% and 13.8% in the USC and SRC respectively. According to the JC taxonomy, the main error type was clinical in both centers, due to errors in intervention (treatment). Errors occurred mostly in the emergency department and were caused by physicians. In the USC, 73% of errors were therapeutic as compared to 59% in the SRC (P=.06). The SRC had a 41% of diagnosis errors vs just 18% in the USC (P = .001). In both centers, the main cause of error was human. At the USC, the most frequent human cause was 'knowledge-based' (44%). In contrast, at the SRC center the most common errors were 'rule-based' (58%) (P<.001). CONCLUSIONS: The use of a common language of errors among centers is key in establishing benchmarking standards. Comparing the quality of care of an American trauma center and a Spanish referral center, we have detected remarkably similar avoidable errors. More diagnostic and 'ruled-based' errors have been found in the Spanish center.

Incidence and diagnosis of Acute kidney injury in hospitalized adult patients: a retrospective observational study in a tertiary teaching Hospital in Southeast China.

BACKGROUND: Acute kidney injury (AKI) places a heavy burden on the healthcare system in China and is usually misdiagnosed. However, there are limited studies that have described the epidemiology and diagnosis of AKI in China. The aim of this study was to describe the incidence and diagnosis of AKI in hospitalized adult patients in a tertiary teaching hospital in southeast China. METHODS: All adult patients hospitalized from October 1, 2013 to September 30, 2014 in the First Affiliated Hospital of Nanjing Medical University were screened using the Lab Administration Network. AKI definition and staging were based on the KDIGO AKI criteria. Demographic characteristics, laboratory examination, clinical data, and clinical outcomes of AKI patients were recorded and analyzed. RESULTS: The incidence of AKI was 1.6% (1401/87196). The 30-day mortality was 35.3%. AKI stage 1, 2, 3 and RRT accounted for 38.0% (532/1401), 22.0% (309/1401), 40.0% (560/1401), and 16.3% (228/1401) of patients, respectively. The Renal, other Internal Medicine, Surgery, and ICU Departments accounted for 7.4%, 37.1%, 30.1%, and 25.4% of AKI patients, respectively. The timely diagnosis rate, delayed diagnosis rate, and missed diagnosis rate were 44% (616/1401), 3.3% (46/1401), and 52.7% (739/1401), respectively. Patients hospitalized in the Renal Department had the highest AKI diagnosis rate (89.3%, 88/103), while missed diagnosis rate of the surgical patients was as high as 75.1% (317/422). Multivariable logistic regression analysis indicated that presence of tumors, higher serum albumin, and AKI stage 1 were associated with failure to timely diagnose AKI, whereas presence of chronic kidney disease, oliguria, higher blood urea nitrogen, and greater number of organ failures correlated with earlier diagnosis. CONCLUSIONS: AKI was characterized by a high incidence, high short-term mortality, and high missed diagnosis rate in hospitalized adult patients in our hospital. Interventions for improving diagnosis of AKI are urgently needed.

The frequency of initial misdiagnosis of acute aortic dissection in the emergency department and its impact on outcome.

We determine the frequency of initial misdiagnosis and inappropriate treatment with antiplatelets/anticoagulants in the emergency department (ED) and the resultant clinical outcomes in patients with acute type A aortic dissection (AAOD). Medical records of patients with a final diagnosis of AAOD admitted from March 2004 through October 2015 to our tertiary-level heart hospital were evaluated. Patients with suspected dissection in ED were compared to those with initial misdiagnosis regarding demographics and clinical presentation, laboratory and echocardiographic findings. Our primary outcome was hospital mortality in two groups. Long-term mortality after discharge was our secondary outcome. Among 189 patients, 47 (24.8 %) were initially misdiagnosed and received antiplatelets/anticoagulants in ED (Group F), and 142 (75.1 %) were appropriately diagnosed in ED (Group T). The mean age in group F was 60.4 ± 15.0 vs. 57.4 ± 16.0 years in group T (p = 0.260). In group F, 70.2 % were male vs. 60.6 % in group T (p = 0.311). Hospital mortality was 48.9 % in group F vs. 43.7 % in group T (p = 0.645). Long-term mortality was significantly higher in group F (55.6 vs. 21.2 %, p = 0.007). Univariate hazard ratio (HR) of initial misdiagnosis for long-term mortality was 2.56 (95 % CI 1.08-6.06, p = 0.031). In multivariate Cox regression analysis with adjustment for age and type of management (surgical/medical), initial misdiagnosis lost its significance for predicting long-term mortality (HR 2.14, 95 % CI 0.89-5.13, p = 0.086). Initial misdiagnosis of AAOD is a common problem. Hospital mortality is not significantly affected by receiving antiplatelets/anticoagulants. Although long-term mortality is higher in patients with initial misdiagnosis, it is not an independent predictor for long-term mortality.

Patterns of Diagnosis and Misdiagnosis in Pediatric Cancer and Relationship to Survival.

BACKGROUND: Pediatric cancer is rare and its symptoms are often ambiguous. The aims of this study were to investigate the time needed to make a diagnosis, assess the frequency of misdiagnosis, and to determine whether these factors affected survival. METHODS: A review of records of 364 pediatric patients diagnosed with cancer at the University of Rochester Golisano Children's Hospital between 2004 and 2012 was conducted. Data were extracted on patient and health care system-related factors and clinical outcomes. RESULTS: The median time from symptom onset to diagnosis was shortest for leukemia (18.5 d) and longest for bone tumors (86.5 d). Tumor type was the only factor associated with time to diagnosis. In 52% of cases an incorrect nononcological diagnosis was initially made. Soft tissue sarcomas and brain tumors were misdiagnosed most often. Neither prolonged time to diagnosis nor initial misdiagnosis was associated with reduced survival. Tumor type and presence of metastatic disease at diagnosis were significantly associated with survival. CONCLUSIONS: There is significant variation in the time from symptom onset to diagnosis of pediatric cancers, and incorrect initial diagnostic impressions are common. Despite this there is no impact of prolonged time to diagnosis on survival.

Missed injuries in pre-hospital trauma patients.

BACKGROUND: During primary survey of trauma patients, missed injuries and delayed diagnosis can be a potential source of morbidity and mortality. OBJECTIVE: To assess type and frequency of missed injuries in prehospital care in trauma patients and to analyze their contributing factors and implications. METHODS:   It is a descriptive and analytic prospective study. It was performed over six months which had included 200 trauma patients. The initial assessment made by the out-of hospital team of Sousse was compared to the second survey made in the emergency room and intensive care unit after the radiological assessment. RESULTS: Sixty seven (67) missed injuries were discovered in 51 patients, so 25.5% missed injuries incidence. These injuries were avoidable in 35.82% of cases. Twenty (20) injuries (29.85%) had clinically significant outcomes. Injuries are missed in the abdomen in 62.5% of cases, in the pelvis in 61.11% of cases, in the chest in 41.66% of cases, in the spine in 38.06 % of cases and in 20% of cases in the limbs. Multiple contributing factors were assigned, the most important were: the hemodynamic instability (Systolic blood pressure less than 90 mmHg), the tachycardia and the low RTS. Altered level of consciousness (GCS of twelve or lower), multiple and violence of the trauma were observed but not retained as predictive factors of missing injuries. CONCLUSION:   Our study showed higher rates of severe missed injuries mainly in abdomen and pelvis. Circulatory instability and low RTS were assigned as significant factors predicting of this obviousness. Various solutions are proposed to prevent missed during the first assessment in prehospital care.

Challenges and opportunities from the Agency for Healthcare Research and Quality (AHRQ) research summit on improving diagnosis: a proceedings review.

BACKGROUND: The Improving Diagnosis in Health Care report from the National Academies of Sciences, Engineering and Medicine (NASEM) provided an opportunity for many groups to reflect on the role they could play in taking actions to improve diagnostic safety. As part of its own process, AHRQ held a research summit in the fall of 2016, inviting members from a diverse collection of organizations, both inside and outside of Government, to share their suggestions regarding what is known about diagnosis and the challenges that need to be addressed. CONTENT: The goals of the summit were to learn from the insights of participants; examine issues associated with definitions of diagnostic error and gaps in the evidence base; explore clinician and patient perspectives; gain a better understanding of data and measurement, health information technology, and organizational factors that impact the diagnostic process; and identify potential future directions for research. Summary and outlook: Plenary sessions focused on the state of the new diagnostic safety discipline followed by breakout sessions on the use of data and measurement, health information technology, and the role of organizational factors. The proceedings review captures many of the key challenges and areas deserving further research, revealing stimulating yet complex issues.

Avoidability of hospital deaths and association with hospital-wide mortality ratios: retrospective case record review and regression analysis.

OBJECTIVES: To determine the proportion of avoidable deaths (due to acts of omission and commission) in acute hospital trusts in England and to determine the association with the trust's hospital-wide standardised mortality ratio assessed using the two commonly used methods--the hospital standardised mortality ratio (HSMR) and the summary hospital level mortality indicator (SHMI). DESIGN: Retrospective case record review of deaths. SETTING: 34 English acute hospital trusts (10 in 2009 and 24 in 2012/13) randomly selected from across the spectrum of HSMR. MAIN OUTCOME MEASURES: Avoidable death, defined as those with at least a 50% probability of avoidability in view of trained medical reviewers. Association of avoidable death proportion with the HSMR and the SHMI assessed using regression coefficients, to estimate the increase in avoidable death proportion for a one standard deviation increase in standardised mortality ratio. PARTICIPANTS: 100 randomly selected hospital deaths from each trust. RESULTS: The proportion of avoidable deaths was 3.6% (95% confidence interval 3.0% to 4.3%). It was lower in 2012/13 (3.0%, 2.4% to 3.7%) than in 2009 (5.2%, 3.8% to 6.6%). This difference is subject to several factors, including reviewers' greater awareness in 2012/13 of orders not to resuscitate, patients being perceived as sicker on admission, minor differences in review form questions, and cultural changes that might have discouraged reviewers from criticising other clinicians. There was a small but statistically non-significant association between HSMR and the proportion of avoidable deaths (regression coefficient 0.3, 95% confidence interval -0.2 to 0.7). The regression coefficient was similar for both time periods (0.1 and 0.3). This implies that a difference in HSMR of between 105 and 115 would be associated with an increase of only 0.3% (95% confidence interval -0.2% to 0.7%) in the proportion of avoidable deaths. A similar weak non-significant association was observed for SHMI (regression coefficient 0.3, 95% confidence interval -0.3 to 1.0). CONCLUSIONS: The small proportion of deaths judged to be avoidable means that any metric based on mortality is unlikely to reflect the quality of a hospital. The lack of association between the proportion of avoidable deaths and hospital-wide SMRs partly reflects methodological shortcomings in both metrics. Instead, reviews of individual deaths should focus on identifying ways of improving the quality of care, whereas the use of standardised mortality ratios should be restricted to assessing the quality of care for conditions with high case fatality for which good quality clinical data exist.

Diagnostic Errors in a PICU: Insights From the Morbidity and Mortality Conference.

OBJECTIVES: To describe diagnostic errors identified among patients discussed at a PICU morbidity and mortality conference in terms of Goldman classification, medical category, severity, preventability, contributing factors, and occurrence in the diagnostic process. DESIGN: Retrospective record review of morbidity and mortality conference agendas, patient charts, and autopsy reports. SETTING: Single tertiary referral PICU in Baltimore, MD. PATIENTS: Ninety-six patients discussed at the PICU morbidity and mortality conference from November 2011 to December 2012. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Eighty-nine of 96 patients (93%) discussed at the PICU morbidity and mortality conference had at least one identified safety event. A total of 377 safety events were identified. Twenty patients (21%) had identified misdiagnoses, comprising 5.3% of all safety events. Out of 20 total diagnostic errors identified, 35% were discovered at autopsy while 55% were reported primarily through the morbidity and mortality conference. Almost all diagnostic errors (95%) could have had an impact on patient survival or safety. Forty percent of errors did not cause actual patient harm, but 25% were severe enough to have potentially contributed to death (40% no harm vs 35% some harm vs 25% possibly contributed to death). Half of the diagnostic errors (50%) were rated as preventable. There were slightly more system-related factors (40%) solely contributing to diagnostic errors compared with cognitive factors (20%); however, 35% had both system and cognitive factors playing a role. Most errors involved vascular (35%) followed by neurologic (30%) events. CONCLUSIONS: Diagnostic errors in the PICU are not uncommon and potentially cause patient harm. Most appear to be preventable by targeting both cognitive- and system-related contributing factors. Prospective studies are needed to further determine how and why diagnostic errors occur in the PICU and what interventions would likely be effective for prevention.

Intuitive weights of harm for therapeutic decision making in smear-negative pulmonary Tuberculosis: an interview study of physicians in India, Pakistan and Bangladesh.

BACKGROUND: To estimate the amount of regret and weights of harm by omission and commission during therapeutic decisions for smear-negative pulmonary Tuberculosis. METHODS: An interviewer-administered survey was done among young physicians in India, Pakistan and Bangladesh with a previously used questionnaire. The physicians were asked to estimate probabilities of morbidity and mortality related with disease and treatment and intuitive weights of omission and commission for treatment of suspected pulmonary Tuberculosis. A comparison with weights based on literature data was made. RESULTS: A total of 242 physicians completed the interview. Their mean age was 28 years, 158 (65.3%) were males. Median probability (%) of mortality and morbidity of disease was estimated at 65% (inter quartile range [IQR] 50-75) and 20% (IQR 8-30) respectively. Median probability of morbidity and mortality in case of occurrence of side effects was 15% (IQR 10-30) and 8% (IQR 5-20) respectively. Probability of absolute treatment mortality was 0.7% which was nearly eight times higher than 0.09% reported in the literature data. The omission vs. commission harm ratios based on intuitive weights, weights calculated with literature data, weights calculated with intuitive estimates of determinants adjusted without and with regret were 3.0 (1.4-5.0), 16 (11-26), 33 (11-98) and 48 (11-132) respectively. Thresholds based on pure regret and hybrid model (clinicians' intuitive estimates and regret) were 25 (16.7-41.7), and 2(0.75-7.5) respectively but utility-based thresholds for clinicians' estimates and literature data were 2.9 (1-8.3) and 5.9 (3.7-7.7) respectively. CONCLUSION: Intuitive weight of harm related to false-negatives was estimated higher than that to false-positives. The mortality related to treatment was eightfold overestimated. Adjusting expected utility thresholds for subjective regret had little effect.

Imported malaria in Poland 2003 to 2011: implications of different travel patterns.

BACKGROUND: The number of imported malaria cases in Poland compared with other European countries remains low. However, in view of the high mortality and the large proportion of severe clinical forms, a better understanding of the problem is required. METHODS: Data reported to the surveillance system in Poland between 2003 and 2011 were reviewed retrospectively. All cases were laboratory confirmed as outlined by the EU case definition. Statistical analysis was performed using Epi Info 3.5.3 and STATA 10. RESULTS: A total of 189 confirmed malaria cases, including 5 that were fatal, were reported in Poland during the study period. All cases were imported: 72% came from Africa. Among cases with a species-specific diagnosis, 118 (73%) were caused by Plasmodium falciparum. The median age of individuals afflicted was 36 years and 74% were males. Most cases occurred among work-related travelers (40%) or tourists (38%). Individuals born in malaria-endemic countries constituted 12% of all cases. The severe malaria form was identified in 23% of all cases and was more frequent among cases caused by P. falciparum (32%), in people older than 50 years (39%), and in cases when diagnosis was delayed (36%). The severe form occurred only in 9% of cases originating from malaria-endemic countries and there were no fatalities in this group. Fatal outcomes were associated with a delay in diagnosis (fatality = 10.5%) and falciparum malaria (fatality = 4%). Most of the delays resulted from a delay in seeking medical care, and less frequently due to misdiagnosis. CONCLUSIONS: Tourists and work-related travelers make up most of the malaria patients in Poland and they are at a greater risk of the severe form of malaria and consequently death, possibly due to the lack of immunity. Delayed diagnosis is associated with mortality, implying low awareness of the threat that malaria poses, both among patients and doctors.

The implications of the patterns of error associated with acute trauma care in rural hospitals in South Africa for quality improvement programs and trauma education.

INTRODUCTION: This audit uses error theory to analyze inappropriate trauma referrals from rural district hospitals in South Africa. The objective of the study is to inform the design of quality improvement programs and trauma educational programs. METHODS: At a weekly metropolitan morbidity and mortality meeting all trauma admissions to the Pietermaritzburg Metropolitan Trauma Service are reviewed. At the meeting problematic and inappropriate referrals and cases of error are identified. We used the (JCAHO) taxonomy to analyze these errors. RESULTS: During the period July 2009-2011 we received 1512 trauma referrals from our rural hospitals. Of these referrals we judged 116 (13%) to be problematic. This group sustained a total of 142 errors. This equates to 1.2 errors per patient. There were 87 males and 29 females in this group. The mechanism of injury was as follows, blunt trauma (66), stabs (32), gunshot wounds (GSW) (13) and miscellaneous five. The types of error consisted of assessment errors (85), resuscitation errors (26), logistics errors (14) and combination errors (17). The cause of the errors was planning failure in 68% of cases and execution failure in the remaining 32% of cases. The assessment errors involved the abdomen (50), chest (9), vascular system (8) and miscellaneous (18). The resuscitation errors involved airway (4), chest (11), vascular access (8) and cervical spine immobilization (3). CONCLUSIONS: Rural areas are error prone environments. Errors of execution revolve around the resuscitation process and current trauma courses specifically address these resuscitation deficits. However planning or assessment failure is the most common cause of error with blunt trauma being more prone to error of assessment than penetrating trauma.