Repeated emergency department visits among children admitted with meningitis or septicemia: a population-based study

Return Visits in Infants Younger Than 90 Days Presenting to the Pediatric Emergency Department for Fever

Fever in infants presenting to pediatric emergency departments (PEDs) often results in significant return visits (RVs). This retrospective study aimed to identify factors associated with RVs in febrile infants aged 0 to 90 days. Data from infants presenting to PED between 2018 and 2021 and returning within 7 days (RV group) were compared to age-matched febrile infants without RVs (control group). Each group had 95 infants with similar demographics and medical history. RVs were primarily due to positive cultures and persistent fever. The control group had higher initial hospitalization rates, longer PED stays, and increased antibiotic treatment. Prevalence of serious bacterial infections (SBIs) did not significantly differ. Higher hospitalization, prolonged PED stays, and initial antibiotic treatment were associated with reduced RV incidence despite similar SBI rates. Return visits in infants <90 days were primarily driven by persistent fever and positive cultures. Addressing these factors through targeted parental education and improved care protocols may reduce RVs.

Emergency Department Volume and Delayed Diagnosis of Pediatric Appendicitis: A Retrospective Cohort Study

OBJECTIVE

To determine the association of emergency department (ED) volume of children and delayed diagnosis of appendicitis.

BACKGROUND

Delayed diagnosis of appendicitis is common in children. The association between ED volume and delayed diagnosis is uncertain, but diagnosis-specific experience might improve diagnostic timeliness.

METHODS

Using Healthcare Cost and Utilization Project 8-state data from 2014 to 2019, we studied all children with appendicitis <18 years old in all EDs. The main outcome was probable delayed diagnosis: >75% likelihood that a delay occurred based on a previously validated measure. Hierarchical models tested associations between ED volumes and delay, adjusting for age, sex, and chronic conditions. We compared complication rates by delayed diagnosis occurrence.

RESULTS

Among 93,136 children with appendicitis, 3,293 (3.5%) had delayed diagnosis. Each 2-fold increase in ED volume was associated with a 6.9% (95% CI: 2.2, 11.3) decreased odds of delayed diagnosis. Each 2-fold increase in appendicitis volume was associated with a 24.1% (95% CI: 21.0, 27.0) decreased odds of delay. Those with delayed diagnosis were more likely to receive intensive care [odds ratio (OR): 1.81, 95% CI: 1.48, 2.21], have perforated appendicitis (OR: 2.81, 95% CI: 2.62, 3.02), undergo abdominal abscess drainage (OR: 2.49, 95% CI: 2.16, 2.88), have multiple abdominal surgeries (OR: 2.56, 95% CI: 2.13, 3.07), or develop sepsis (OR: 2.02, 95% CI: 1.61, 2.54).

CONCLUSIONS

Higher ED volumes were associated with a lower risk of delayed diagnosis of pediatric appendicitis. Delay was associated with complications.

Optimizing measurement of misdiagnosis-related harms using symptom-disease pair analysis of diagnostic error (SPADE): comparison groups to maximize SPADE validity

Diagnostic errors in medicine represent a significant public health problem but continue to be challenging to measure accurately, reliably, and efficiently. The recently developed Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) approach measures misdiagnosis related harms using electronic health records or administrative claims data. The approach is clinically valid, methodologically sound, statistically robust, and operationally viable without the requirement for manual chart review. This paper clarifies aspects of the SPADE analysis to assure that researchers apply this method to yield valid results with a particular emphasis on defining appropriate comparator groups and analytical strategies for balancing differences between these groups. We discuss four distinct types of comparators (intra-group and inter-group for both look-back and look-forward analyses), detailing the rationale for choosing one over the other and inferences that can be drawn from these comparative analyses. Our aim is that these additional analytical practices will improve the validity of SPADE and related approaches to quantify diagnostic error in medicine.

OUTCOMES OF MISSED DIAGNOSIS OF PEDIATRIC APPENDICITIS, NEW-ONSET DIABETIC KETOACIDOSIS, AND SEPSIS IN FIVE PEDIATRIC HOSPITALS

BACKGROUND

Missed diagnosis can predispose to worse condition-specific outcomes.

OBJECTIVE

To determine 90-day complication rates and hospital utilization after a missed diagnosis of pediatric appendicitis, new-onset diabetic ketoacidosis (DKA), and sepsis.

METHODS

We evaluated patients under 21 years of age visiting five pediatric emergency departments (EDs) with a study condition. Case patients had a preceding ED visit within 7 days of diagnosis and underwent case review to confirm a missed diagnosis. Control patients had no preceding ED visit. We compared complication rates and utilization between case and control patients after adjusting for age, sex, and insurance.

RESULTS

We analyzed 29,398 children with appendicitis, 5366 with DKA, and 3622 with sepsis, of whom 429, 33, and 46, respectively, had a missed diagnosis. Patients with missed diagnosis of appendicitis or DKA had more hospital days and readmissions; there were no significant differences for those with sepsis. Those with missed appendicitis were more likely to have abdominal abscess drainage (adjusted odds ratio [aOR] 3.0, 95% confidence interval [CI] 2.4-3.6) or perforated appendicitis (aOR 3.1, 95% CI 2.5-3.8). Those with missed DKA were more likely to have cerebral edema (aOR 4.6, 95% CI 1.5-11.3), mechanical ventilation (aOR 13.4, 95% CI 3.8-37.1), or death (aOR 28.4, 95% CI 1.4-207.5). Those with missed sepsis were less likely to have mechanical ventilation (aOR 0.5, 95% CI 0.2-0.9). Other illness complications were not significantly different by missed diagnosis.

CONCLUSIONS

Children with delayed diagnosis of appendicitis or new-onset DKA had a higher risk of 90-day complications and hospital utilization than those with a timely diagnosis.

Diagnostic Delays in Sepsis: Lessons Learned From a Retrospective Study of Canadian Medico-Legal Claims

Although rapid treatment improves outcomes for patients presenting with sepsis, early detection can be difficult, especially in otherwise healthy adults.

OBJECTIVES

Using medico-legal data, we aimed to identify areas of focus to assist with early recognition of sepsis.

DESIGN SETTING AND PARTICIPANTS

Retrospective descriptive design. We analyzed closed medico-legal cases involving physicians from a national database repository at the Canadian Medical Protective Association. The study included cases closed between 2011 and 2020 that had documented peer expert criticism of a diagnostic issue related to sepsis or relevant infections.

MAIN OUTCOMES AND MEASURES

We used univariate statistics to describe patients and physicians and applied published frameworks to classify contributing factors (provider, team, system) and diagnostic pitfalls based on peer expert criticisms.

RESULTS

Of 162 involved patients, the median age was 53 years (interquartile range [IQR], 34-66 yr) and mortality was 49%. Of 218 implicated physicians, 169 (78%) were from family medicine, emergency medicine, or surgical specialties. Eighty patients (49%) made multiple visits to outpatient care leading up to sepsis recognition/hospitalization (median = two visits; IQR, 2-4). Almost 40% of patients were admitted to the ICU. Deficient assessments, such as failing to consider sepsis or not reassessing the patient prior to discharge, contributed to the majority of cases (81%).

CONCLUSIONS AND RELEVANCE

Sepsis continues to be a challenging diagnosis for clinicians. Multiple visits to outpatient care may be an early warning sign requiring vigilance in the patient assessment.

Multi-incident analysis of reviews of serious adverse clinical events in children with serious bacterial infection and/or sepsis in Queensland, Australia between 2012 and 2017

AIM

To report on findings from a multi-incident analysis of reviews of serious paediatric adverse clinical events related to serious bacterial infection and/or sepsis (hereafter referred to as sepsis for brevity) in Queensland, Australia, between 2012 and 2017.

METHODS

The Queensland Paediatric Quality Council reviewed documentation from reviews of serious adverse events occurring in children (<18 years) with a diagnosis of sepsis at Queensland public hospitals between 2012 and 2017, including clinical details, coronial reports, autopsy reports and root cause analysis documents. A multi-incident tool was designed and used by an expert panel to identify patient and facility demographics, contributing factors, and human and system factors associated with paediatric serious adverse events.

RESULTS

There were 28 serious adverse clinical events reported related to paediatric sepsis, characterised by a high proportion of deaths (23) and a predominance of children aged under 4 years. Approximately half of all facilities were classified as rural and remote health services. Contributing factors included difficulty in recognising and responding to the deteriorating patient, inadequate management/treatment, diagnostic error (mainly diagnostic delay) and escalation delay/failure. Major system factors included communication issues, incorrect use of the early warning tool, inadequate coordination of care planning, policy/protocol/guideline failures and workforce problems.

CONCLUSION

Multi-incident analysis is a useful tool for identifying themes that recur in similar events and presents opportunities for system-wide improvement. Common themes and contributing factors were identified which may provide possibilities for earlier identification and intervention in childhood serious bacterial infection and/or sepsis.

An estimate of missed pediatric sepsis in the emergency department

BACKGROUND

Timely diagnosis of pediatric sepsis remains elusive. We estimated the risk of potentially missed pediatric sepsis in US emergency departments (EDs) and determined factors associated with its occurrence.

METHODS

In a retrospective study of linked inpatient and ED records from four states using administrative data (excluding 40% with missing identifiers), we identified children admitted with severe sepsis and/or septic shock who had at least one ED treat-and-release visit in the 7 days prior to sepsis admission. An expert panel rated the likelihood of each ED visit being related to subsequent sepsis admission. We used multivariable regression to identify associations with potentially missed sepsis.

RESULTS

Of 1945 patients admitted with severe sepsis/septic shock, 158 [8.1%; 95% confidence interval (CI), 6.9%-9.4%] had potentially missed sepsis during an antecedent treat-and-release ED visit. The odds of potentially missed sepsis were lower for each additional comorbid chronic condition [odds ratio (OR), 0.86; 95% CI, 0.80-0.92] and higher in California (OR, 2.26; 95% CI, 1.34-3.82), Florida (OR, 3.33; 95% CI, 1.95-5.70), and Massachusetts (OR, 2.87; 95% CI, 1.35-6.09), compared to New York.

CONCLUSIONS

Administrative data can be used to screen large populations for potentially missed sepsis and identify cases that warrant detailed record review.

Repeated Emergency Department Visits Among Children with Invasive Bacterial Infections

We carried out a retrospective cohort study of 271 previously healthy children younger than 14 years old diagnosed with invasive bacterial infection in an emergency department. Of them, 72 (26.6%) had previous visits to the emergency department. Not identifying children with an invasive bacterial infection and not administering antibiotics on the first visit was associated with a severe outcome.

Children discharged from an emergency department with bacteraemia had lower C-reactive protein and better outcomes than admissions

AIM

To investigate whether there are common clinical findings in bacteraemic children that were discharged from the emergency department (ED) and to follow their clinical outcome.

METHODS

A retrospective chart review of children above one-month-old with positive blood cultures obtained in Shamir Medical Center's ED between January 2011 and December 2019 was conducted.

RESULTS

A total of 250 cases were analysed, of which 68 discharged after first evaluation. Streptococcus pneumonia was the most commonly isolated pathogen. Compared to children that were admitted when first evaluated in the ED, discharged children had lower C-reactive protein (mean 50.5 ± 62.8 vs 121.7 ± 113.2 mg/L, p < 0.001). Dyspnoea and being ill-looking were less prevalent among the latter (6.7% versus 35.1%, p = <0.001, 3.0% versus 22.2% p < 0.001, respectively), as were presence of Kingella kingae and other Gram-negative bacteria. Of the children hospitalised in our institution, the duration of hospitalisation was significantly lower than in those admitted during the first visit (6.3 ± 4.3 vs 9.0 ± 7.4 days, p = .002). None of the discharged children were admitted to paediatric intensive care unit.

CONCLUSION

Children with bacteraemia who were discharged home before knowing their positive blood cultures results had lower C-reactive protein and better outcome compared to those admitted on first evaluation in emergency department.

Rate of sepsis hospitalizations after misdiagnosis in adult emergency department patients: a look-forward analysis with administrative claims data using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) methodology in an integrated health system

OBJECTIVES

Delays in sepsis diagnosis can increase morbidity and mortality. Previously, we performed a Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) "look-back" analysis to identify symptoms at risk for delayed sepsis diagnosis. We found treat-and-release emergency department (ED) encounters for fluid and electrolyte disorders (FED) and altered mental status (AMS) were associated with downstream sepsis hospitalizations. In this "look-forward" analysis, we measure the potential misdiagnosis-related harm rate for sepsis among patients with these symptoms.

METHODS

Retrospective cohort study using electronic health record and claims data from Kaiser Permanente Mid-Atlantic States (2013-2018). Patients ≥18 years with ≥1 treat-and-release ED encounter for FED or AMS were included. Observed greater than expected sepsis hospitalizations within 30 days of ED treat-and-release encounters were considered potential misdiagnosis-related harms. Temporal analyses were employed to differentiate case and comparison (superficial injury/contusion ED encounters) cohorts.

RESULTS

There were 4,549 treat-and-release ED encounters for FED or AMS, 26 associated with a sepsis hospitalization in the next 30 days. The observed (0.57%) minus expected (0.13%) harm rate was 0.44% (absolute) and 4.5-fold increased over expected (relative). There was a spike in sepsis hospitalizations in the week following FED/AMS ED visits. There were fewer sepsis hospitalizations and no spike in admissions in the week following superficial injury/contusion ED visits. Potentially misdiagnosed patients were older and more medically complex.

CONCLUSIONS

Potential misdiagnosis-related harms from sepsis are infrequent but measurable using SPADE. This look-forward analysis validated our previous look-back study, demonstrating the SPADE approach can be used to study infectious disease syndromes.

Qualitative evaluation of a mandatory provincial programme auditing emergency department return visits

OBJECTIVE

The objective of this qualitative study was to evaluate the perceived impact and value of the Return Visit Quality Programme (RVQP), a mandatory province-wide emergency department audit programme.

DESIGN

We employed an interpretive descriptive qualitative approach with maximum variation sampling to ensure diverse representation across several geographical and institutional factors. RVQP programme leads were invited to participate in semistructured interviews and snowball sampling was used to reach non-lead physicians to capture the perspectives of those working within the programme.

SETTING

In Ontario's RVQP, participating emergency departments must audit their return visits resulting in admission to identify issues that can be addressed through quality improvement initiatives.

PARTICIPANTS

Between June and August 2018, we interviewed 32 participants (local programme leads and non-lead physicians) from 23 out of the 86 participating centres.

RESULTS

Participants' perceived impact and value of the programme was associated with the existence (or absence) and nature of the local quality improvement culture, the implementation approach of the programme within their emergency departments, and key aspects of the programme pertaining to medicolegal concerns and resource availability.

CONCLUSIONS

This study of an innovative, large-scale programme aimed at promoting continuous quality improvement in emergency departments showed that while its perceived impact has been meaningful, there are key structural and operational elements that support and hinder this aim. Healthcare leaders should consider these findings when looking to implement large-scale audit or quality improvement programmes.

The Medical Resuscitation Committee: Interprofessional Program Development to Optimize Care for Critically Ill Medical Patients in an Academic Pediatric Emergency Department

ABSTRACT

Provision of optimal care to critically ill patients in a pediatric emergency department is challenging. Specific challenges include the following: (a) patient presentations are highly variable, representing the full breadth of human disease and injury, and are often unannounced; (b) care team members have highly variable experience and skills and often few meaningful opportunities to practice care delivery as a team; (c) valid data collection, for quality assurance/improvement and clinical research, is limited when relying on traditional approaches such as medical record review or self-report; (d) specific patient presentations are relatively uncommon for individual providers, providing few opportunities to establish and refine the requisite knowledge and skill; and (e) unscientific or random variation in care delivery. In the current report, we describe our efforts for the last decade to address these challenges and optimize care delivery to critically ill patients in a pediatric emergency department. We specifically describe the grassroots development of an interprofessional medical resuscitation program. Key components of the program are as follows: (a) a database of all medical patients undergoing evaluation in the resuscitation suite, (b) peer review and education through video-based case review, (c) a program of emergency department in situ simulation, and (d) the development of cognitive aids for high-acuity, low-frequency medical emergencies.

Antecedent treat-and-release diagnoses prior to sepsis hospitalization among adult emergency department patients: a look-back analysis employing insurance claims data using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) methodology

OBJECTIVES

The aim of this study was to identify delays in early pre-sepsis diagnosis in emergency departments (ED) using the Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) approach.

METHODS

SPADE methodology was employed using electronic health record and claims data from Kaiser Permanente Mid-Atlantic States (KPMAS). Study cohort included KPMAS members ≥18 years with ≥1 sepsis hospitalization 1/1/2013-12/31/2018. A look-back analysis identified treat-and-release ED visits in the month prior to sepsis hospitalizations. Top 20 diagnoses associated with these ED visits were identified; two diagnosis categories were distinguished as being linked to downstream sepsis hospitalizations. Observed-to-expected (O:E) and temporal analyses were performed to validate the symptom selection; results were contrasted to a comparison group. Demographics of patients that did and did not experience sepsis misdiagnosis were compared.

RESULTS

There were 3,468 sepsis hospitalizations during the study period and 766 treat-and-release ED visits in the month prior to hospitalization. Patients discharged from the ED with fluid and electrolyte disorders (FED) and altered mental status (AMS) were most likely to have downstream sepsis hospitalizations (O:E ratios of 2.66 and 2.82, respectively). Temporal analyses revealed that these symptoms were overrepresented and temporally clustered close to the hospitalization date. Approximately 2% of sepsis hospitalizations were associated with prior FED or AMS ED visits.

CONCLUSIONS

Treat-and-release ED encounters for FED and AMS may represent harbingers for downstream sepsis hospitalizations. The SPADE approach can be used to develop performance measures that identify pre-sepsis.

Improving Quality of Care Through a Mandatory Provincial Audit Program: Ontario's Emergency Department Return Visit Quality Program

The Emergency Department Return Visit Quality Program was launched in Ontario, Canada, to promote a culture of quality. It mandates the province's largest-volume emergency departments (EDs) to audit charts of patients who had a return visit leading to hospital admission, including some of their 72-hour all-cause return visits with admission and all of their 7-day ones with sentinel diagnoses (ie, acute myocardial infarction, subarachnoid hemorrhage, and pediatric sepsis), and submit their findings to a governmental agency. This provides an opportunity to identify possible adverse events and quality issues, which hospitals can then address through quality improvement initiatives. A group of emergency physicians with quality improvement expertise analyzed the submitted audits and accompanying narrative templates, using a general inductive approach to develop a novel classification of recurrent quality themes. Since the Return Visit Quality Program launched in 2016, 125,698 return visits with admission have been identified, representing 0.93% of the 86 participating EDs' 13,559,664 visits. Overall, participating hospitals have conducted 12,852 detailed chart audits, uncovering 3,010 (23.4%) adverse events/quality issues and undertaking hundreds of quality improvement provincewide projects as a result. The inductive analysis revealed 11 recurrent themes, classified into 3 groupings: patient characteristics (ie, patient risk profile and elder care), ED team actions or processes (ie, physician cognitive lapses, documentation, handover/communication between providers, radiology, vital signs, and high-risk medications or medication interactions), and health care system issues (ie, discharge planning/community follow-up, left against medical advice/left without being seen, and imaging/testing availability). The Return Visit Quality Program is the largest mandatory audit program for EDs and provides a novel approach to identify local adverse events/quality issues to target for improved patient safety and quality of care. It provides a blueprint for health system leaders to enable clinicians to develop an approach to organizational quality, as well as for teams to construct an audit system that yields defined issues amenable to improvement.

Rate of diagnostic errors and serious misdiagnosis-related harms for major vascular events, infections, and cancers: toward a national incidence estimate using the “Big Three”

Background

Missed vascular events, infections, and cancers account for ~75% of serious harms from diagnostic errors. Just 15 diseases from these “Big Three” categories account for nearly half of all serious misdiagnosis-related harms in malpractice claims. As part of a larger project estimating total US burden of serious misdiagnosis-related harms, we performed a focused literature review to measure diagnostic error and harm rates for these 15 conditions.

Methods

We searched PubMed, Google, and cited references. For errors, we selected high-quality, modern, US-based studies, if available, and best available evidence otherwise. For harms, we used literature-based estimates of the generic (disease-agnostic) rate of serious harms (morbidity/mortality) per diagnostic error and applied claims-based severity weights to construct disease-specific rates. Results were validated via expert review and comparison to prior literature that used different methods. We used Monte Carlo analysis to construct probabilistic plausible ranges (PPRs) around estimates.

Results

Rates for the 15 diseases were drawn from 28 published studies representing 91,755 patients. Diagnostic error (false negative) rates ranged from 2.2% (myocardial infarction) to 62.1% (spinal abscess), with a median of 13.6% [interquartile range (IQR) 9.2–24.7] and an aggregate mean of 9.7% (PPR 8.2–12.3). Serious misdiagnosis-related harm rates per incident disease case ranged from 1.2% (myocardial infarction) to 35.6% (spinal abscess), with a median of 5.5% (IQR 4.6–13.6) and an aggregate mean of 5.2% (PPR 4.5–6.7). Rates were considered face valid by domain experts and consistent with prior literature reports.

Conclusions

Diagnostic improvement initiatives should focus on dangerous conditions with higher diagnostic error and misdiagnosis-related harm rates.

Clinical Description and Outcomes of Australian Children With Invasive Group A Streptococcal Disease

BACKGROUND

Invasive group A streptococcal disease is a severe infection with a high case fatality rate, estimated to cause more than 150,000 deaths per year worldwide. The clinical presentation of this infection is variable, and early diagnosis can be challenging. There are few data on its short- and longer-term outcomes, especially in children. The aim of this study was to assess the clinical presentation, management and short- and longer-term outcomes of invasive group A streptococcal disease in children in Australia.

METHODS

We undertook a prospective surveillance study of children with laboratory-confirmed invasive group A streptococcus disease admitted to 7 sentinel tertiary and quaternary pediatric hospitals in Australia between July 2016 and June 2018. We collected demographic and clinical data and contacted patients 6 months after discharge to assess longer-term outcomes.

RESULTS

We enrolled 181 children, 7 days to 16 years of age. The principal site of invasive infection was blood (126 children, 69.6%), and the most frequent clinical presentation was pneumonia in 46 children (25.4%). Twenty-six children developed streptococcal toxic shock syndrome (14.4%), and 74 had severe disease (40.9%), including 71 admitted to the intensive care unit. Five children died (2.8%). At discharge and 6 months, 29.3% and 15.2% of the children had persisting health problems, respectively.

CONCLUSIONS

Invasive group A streptococcal infection in Australian children is frequently severe and has a high long-term morbidity burden, highlighting the need for strengthened clinical care pathways, epidemiologic surveillance and prevention strategies.

Application of the Informatics Stack framework to describe a population-level emergency department return visit continuous quality improvement program

INTRODUCTION

Population health programs are increasingly reliant on Health Information Technology (HIT). Program HIT architecture description is a necessary step prior to evaluation. Several sociotechnical frameworks have been used previously with HIT programs. The Informatics Stack is a novel framework that provides a thorough description of HIT program architecture. The Emergency Department Return Visit Quality Program (EDRVQP) is a population-level continuous quality improvement (QI) program connecting EDs across Ontario. The objectives of the study were to utilize the Informatics Stack to provide a description of the EDRVQP HIT architecture and to delineate population health program factors that are enablers or barriers.

MATERIALS AND METHODS

The Informatics Stack was used to describe the HIT architecture. A qualitative study was completed with semi-structured interviews of key informants across stakeholder organizations. Emergency departments were selected randomly. Purposive sampling identified key informants. Interviews were conducted until saturation. An inductive qualitative analysis using grounded theory was completed. A literature review of peer-reviewed background literature, and stakeholder organization reports was also conducted.

RESULTS

23 business actors from 15 organizations were interviewed. The EDRVQP architecture description is presented across the Informatics Stack levels. The levels from most comprehensive to most basic are world, organization, perspectives/roles, goals/functions, workflow/behaviour/adoption, information systems, modules, data/information/knowledge/wisdom/algorithms, and technology. Enabling factors were the high rate of electronic health record adoption, legislative mandate for data collection, use of functional data standards, implementation flexibility, leveraging validated algorithms, and leveraging existing local health networks. Barriers were privacy legislation and a high turn-around time.

DISCUSSION

The Informatics Stack provides a robust approach to thoroughly describe the HIT architecture of population health programs prior to program replication. The EDRVQP is a population health program that illustrates the pragmatic use of continuous QI methodology across a population (provincial) level.

Characteristics of children with microbiologically confirmed invasive bacterial infections in the emergency department

BACKGROUND

Determination of the characteristics of paediatric invasive bacterial infections (IBI) is essential for early identification of children requiring immediate antibiotic therapy. The main objective is to characterize the emergency presentation of the IBI among children aged younger than 14 years.

PATIENTS AND METHODS

A prospective registry-based cohort study including all patients aged younger than 14 years diagnosed with confirmed IBI (culture or genomic detection using the polymerase chain reaction) was carried out in a paediatric emergency department between 2008 and 2015. Severity criteria were as follows: death, sequelae or admission to the ICU.

RESULTS

Of the 223 IBIs reported, 187 (83.9%) corresponded to previously healthy patients (median age=19 months) and 165 (74%) were well appearing. The most common diagnoses were occult bacteraemia [60 (26.9%)] and sepsis [56 (25.1%)]. The most frequent pathogens were Streptococcus pneumoniae [68 (30.5%)] and Neisseria meningitidis [42 (18.8%)]. Four (1.8) patients died (S. pneumoniae, 2) and eight (3.5%) had sequelae (S. pneumoniae, 5). The diagnoses and clinical characteristics of the children varied significantly depending on the isolated pathogen. Duration of fever less than 24 h, symptoms other than fever and not being well-appearing upon arrival to the emergency department were independent risk factors for greater severity (area under the receiver operating characteristics curve=0.805; 95% confidence interval: 0.741-0.868).

CONCLUSION

IBIs are commonly diagnosed in previously healthy and well-appearing young children. S. pneumoniae was responsible for the majority of deaths or sequelae. Short duration of fever, symptoms other than fever and not being stable on arrival are associated with greater severity.

Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): a conceptual framework and methodological approach for unearthing misdiagnosis-related harms using big data

BACKGROUND

The public health burden associated with diagnostic errors is likely enormous, with some estimates suggesting millions of individuals are harmed each year in the USA, and presumably many more worldwide. According to the US National Academy of Medicine, improving diagnosis in healthcare is now considered 'a moral, professional, and public health imperative.' Unfortunately, well-established, valid and readily available operational measures of diagnostic performance and misdiagnosis-related harms are lacking, hampering progress. Existing methods often rely on judging errors through labour-intensive human reviews of medical records that are constrained by poor clinical documentation, low reliability and hindsight bias.

METHODS

Key gaps in operational measurement might be filled via thoughtful statistical analysis of existing large clinical, billing, administrative claims or similar data sets. In this manuscript, we describe a method to quantify and monitor diagnostic errors using an approach we call 'Symptom-Disease Pair Analysis of Diagnostic Error' (SPADE).

RESULTS

We first offer a conceptual framework for establishing valid symptom-disease pairs illustrated using the well-known diagnostic error dyad of dizziness-stroke. We then describe analytical methods for both look-back (case-control) and look-forward (cohort) measures of diagnostic error and misdiagnosis-related harms using 'big data'. After discussing the strengths and limitations of the SPADE approach by comparing it to other strategies for detecting diagnostic errors, we identify the sources of validity and reliability that undergird our approach.

CONCLUSION

SPADE-derived metrics could eventually be used for operational diagnostic performance dashboards and national benchmarking. This approach has the potential to transform diagnostic quality and safety across a broad range of clinical problems and settings.

Fever in Children: Pearls and Pitfalls

Fever in children is a common concern for parents and one of the most frequent presenting complaints in emergency department visits, often involving non-pediatric emergency physicians. Although the incidence of serious infections has decreased after the introduction of conjugate vaccines, fever remains a major cause of laboratory investigation and hospital admissions. Furthermore, antipyretics are the most common medications administered to children. We review the epidemiology and measurement of fever, the meaning of fever and associated clinical signs in children of different ages and under special conditions, including fever in children with cognitive impairment, recurrent fevers, and fever of unknown origin. While the majority of febrile children have mild, self-resolving viral illness, a minority may be at risk of life-threatening infections. Clinical assessment differs markedly from adult patients. Hands-off evaluation is paramount for a correct evaluation of breathing, circulation and level of interaction. Laboratory markers and clinical prediction rules provide limited help in identifying children at risk for serious infections; however, clinical examination, prudent utilization of laboratory tests, and post-discharge guidance ("safety netting") remain the cornerstone of safe management of febrile children.

Pediatric Patients Discharged from the Emergency Department with Abnormal Vital Signs

INTRODUCTION

Children often present to the emergency department (ED) with minor conditions such as fever and have persistently abnormal vital signs. We hypothesized that a significant portion of children discharged from the ED would have abnormal vital signs and that those discharged with abnormal vital signs would experience very few adverse events.

METHODS

We performed a retrospective chart review encompassing a 44-month period of all pediatric patients (aged two months to 17 years) who were discharged from the ED with an abnormal pulse rate, respiratory rate, temperature, or oxygen saturation. We used a local quality assurance database to identify pre-defined adverse events after discharge in this population. Our primary aim was to determine the proportion of children discharged with abnormal vital signs and the frequency and nature of adverse events. Additionally, we performed a sub-analysis comparing the rate of adverse events in children discharged with normal vs. abnormal vital signs, as well as a standardized review of the nature of each adverse event.

RESULTS

Of 33,185 children discharged during the study period, 5,540 (17%) of these patients had at least one abnormal vital sign. There were 24/5,540 (0.43%) adverse events in the children with at least one abnormal vital sign vs. 47/27,645 (0.17%) adverse events in the children with normal vital signs [relative risk = 2.5 (95% confidence interval, 1.6 to 2.4)].However, upon review of each adverse event we found only one case that was related to the index visit, was potentially preventable by a 23-hour hospital observation, and caused permanent disability.

CONCLUSION

In our study population, 17% of the children were discharged with at least one abnormal vital sign, and there were very few adverse (0.43%) events associated with this practice. Heart rate was the most common abnormal vital sign leading to an adverse event. Severe adverse events that were potentially related to the abnormal vital sign(s) were exceedingly rare. Additional research is needed in broader populations to better determine the rate of adverse events and possible methods of avoiding them.

Increased Identification of Emergency Department 72-hour Returns Using Multihospital Health Information Exchange

OBJECTIVES

Emergency departments (EDs) commonly analyze cases of patients returning within 72 hours of initial ED discharge as potential opportunities for quality improvement. In this study, we tested the use of a health information exchange (HIE) to improve identification of 72-hour return visits compared to individual hospitals' site-specific data.

METHODS

We collected deidentified patient data over a 5-year study period from Healthix, an HIE in the New York metropolitan area. We measured site-specific 72-hour ED returns and compared these data to those obtained from a regional 31-site HIE (Healthix) and to those from a smaller, antecedent 11-site HIE. Although only ED visits were counted as index visits, either ED or inpatient revisits within 72 hours of the index visit were considered as early returns.

RESULTS

A total of 12,669,657 patient encounters were analyzed across the 31 HIE EDs, including 6,352,829 encounters from the antecedent 11-site HIE. Site-specific 72-hour return visit rates ranged from 1.1% to 15.2% (median = 5.8%) among the individual 31 sites. When the larger HIE was used to identify return visits to any site, individual EDs had a 72-hour return frequency of 1.8% to 15.5% (median = 6.8%). HIE increased the identification ability of 72-hour ED return analyses by a mean of 11.16% (95% confidence interval = 11.10% to 11.22%) compared with site-specific (no HIE) analyses.

CONCLUSION

This analysis demonstrates incremental improvements in our ability to identify early ED returns using increasing levels of HIE data aggregation. Although intuitive, this has not been previously described using HIE. ED quality measurement and patient safety efforts may be aided by using HIE in 72-hour return analyses.