Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability.

Background: Semantic interoperability facilitates the exchange of and access to health data that are being documented in electronic health records (EHRs) with various semantic features. The main goals of semantic interoperability development entail patient data availability and use in diverse EHRs without a loss of meaning. Internationally, current initiatives aim to enhance semantic development of EHR data and, consequently, the availability of patient data. Interoperability between health information systems is among the core goals of the European Health Data Space regulation proposal and the World Health Organization's Global Strategy on Digital Health 2020-2025. Objective: To achieve integrated health data ecosystems, stakeholders need to overcome challenges of implementing semantic interoperability elements. To research the available scientific evidence on semantic interoperability development, we defined the following research questions: What are the key elements of and approaches for building semantic interoperability integrated in EHRs? What kinds of goals are driving the development? and What kinds of clinical benefits are perceived following this development? Methods: Our research questions focused on key aspects and approaches for semantic interoperability and on possible clinical and semantic benefits of these choices in the context of EHRs. Therefore, we performed a systematic literature review in PubMed by defining our study framework based on previous research. Results: Our analysis consisted of 14 studies where data models, ontologies, terminologies, classifications, and standards were applied for building interoperability. All articles reported clinical benefits of the selected approach to enhancing semantic interoperability. We identified 3 main categories: increasing the availability of data for clinicians (n=6, 43%), increasing the quality of care (n=4, 29%), and enhancing clinical data use and reuse for varied purposes (n=4, 29%). Regarding semantic development goals, data harmonization and developing semantic interoperability between different EHRs was the largest category (n=8, 57%). Enhancing health data quality through standardization (n=5, 36%) and developing EHR-integrated tools based on interoperable data (n=1, 7%) were the other identified categories. The results were closely coupled with the need to build usable and computable data out of heterogeneous medical information that is accessible through various EHRs and databases (eg, registers). Conclusions: When heading toward semantic harmonization of clinical data, more experiences and analyses are needed to assess how applicable the chosen solutions are for semantic interoperability of health care data. Instead of promoting a single approach, semantic interoperability should be assessed through several levels of semantic requirements A dual model or multimodel approach is possibly usable to address different semantic interoperability issues during development. The objectives of semantic interoperability are to be achieved in diffuse and disconnected clinical care environments. Therefore, approaches for enhancing clinical data availability should be well prepared, thought out, and justified to meet economically sustainable and long-term outcomes.

Consequences of Inpatient Falls in Acute Care-A Retrospective Register Study.

AIMS: The objectives of this study were (1) to explore the consequences of falls; (2) to find out time and place of the fall events; and (3) to explore the impact of falls on the length of hospital stays in adults' inpatient acute care. BACKGROUND: In hospitals, falls are the most common accidents that can occur to a patient during hospitalization. Injuries resulting from serious falls can cause lifelong harm to the patient due to loss of well-being and independence. DESIGN: A retrospective, cross-sectional, register study based on the data from electronic patient records was conducted. METHODS: The data included 114,951 inpatients, of which 743 had fallen. Data was collected between January 2014 and December 2016. RESULTS: One-third of falls caused injury. Most injuries were to the head area, and the most common injuries were pain or confusion. The falls usually occurred at the beginning of the treatment in the patient's room or on the way to the toilet. Falls in the hospital increased the length of stay. CONCLUSIONS: A large proportion of falls occur at the beginning of treatment, so it is important to start fall prevention measures as soon as the patient arrives at the hospital.

Enhanced recovery after surgery (ERAS) protocol improves patient outcomes in free flap surgery for head and neck cancer.

BACKGROUND: In recent years, enhanced recovery after surgery (ERAS) guidelines have been developed to optimize pre-, intra-, and postoperative care of surgical oncology patients. The aim of this study was to compare management outcome of patients undergoing head and neck cancer (HNC) surgery with free flap reconstruction at our institution before and after the implementation of the ERAS guidelines. METHODS: This retrospective study comprised 283 patients undergoing HNC surgery with free flap reconstruction between 2013 and 2020. Patients operated before and after the implementation of the ERAS protocol in October 2017 formed the pre-ERAS group (n = 169), and ERAS group (n = 114), respectively. RESULTS: In the pre-ERAS group the mean length of stay (LOS) and intensive care unit length of the stay (ICU-LOS) were 20 days (range 7-79) and 6 days (range 1-32), and in the ERAS group 13 days (range 3-70) and 5 days (range 1-24), respectively. Both LOS (p < 0.001) and ICU-LOS (p = 0.042) were significantly reduced in the ERAS group compared to the pre-ERAS group. There were significantly fewer medical complications in the ERAS group (p < 0.003). No difference was found between the study groups in the surgical complication rate or in the 30-day or 6-month mortality rate after surgery. CONCLUSIONS: We found reduced LOS, ICU-LOS, and medical complication rate, but no effect on the surgical complication rate after implementation of the ERAS guidelines, which supports their use in major HNC surgery.

Costs of oropharyngeal squamous cell cancer treatment in Finland.

BACKGROUND: Oropharyngeal squamous cell carcinoma (OPSCC) can be treated with definitive (chemo)radiotherapy ((C)RT) or primary surgical treatment (PST) with or without postoperative oncologic treatment. The prognosis of OPSCC does not essentially depend on the treatment modality, which allows to consider secondary decision-making aspects such as treatment costs when recommending an individual treatment modality. We attempted to analyze the costs associated with definitive (C)RT and PST in the treatment of OPSCC in Finland. MATERIALS AND METHODS: We included 73 patients diagnosed with OPSCC at the Helsinki University Hospital (HUS) (Helsinki, Finland) in 2019 and 2020. Treatment costs were defined as the costs incurred in the specialized medical care during the first 12 months after the diagnosis was established. RESULTS: Definitive RT and definitive CRT were on a 1-year horizon associated with median costs of approximately 10 700€ and 13 300€, respectively; while, the median costs of PST equaled about 40 600€. The costs of definitive (C)RT mostly consisted of the costs of (chemo)radiotherapy sessions; while, the operating room costs and the costs of intensive care and stay on a ward drove the costs of PST. CONCLUSIONS: PST is associated with 2-3 times higher median costs than definitive (C)RT in Finland. The finding differs from the results previously reported in North America, which is related, e.g., to differences in the treatment practices as well as in the regulation of the health care systems.

Changes in SARS-CoV-2 seroprevalence and population immunity in Finland, 2020-2022.

Studying the prevalence of SARS-CoV-2 specific antibodies (seroprevalence) allows for assessing the impact of epidemic containment measures and vaccinations and estimating the number of infections regardless of viral testing. We assessed antibody-mediated immunity to SARS-CoV-2 induced by infections and vaccinations from April 2020 to December 2022 in Finland by measuring serum IgG to SARS-CoV-2 nucleoprotein (N-IgG) and spike glycoprotein from randomly selected 18-85-year-old subjects (n = 9794). N-IgG seroprevalence remained at <7% until the last quartile (Q) of 2021. After the emergence of the Omicron variant, N-IgG seroprevalence increased rapidly and was 31% in Q1/2022 and 54% in Q4/2022. Seroprevalence was highest in the youngest age groups from Q2/2022 onwards. We did not observe regional differences in seroprevalence in 2022. We estimated that 51% of the Finnish 18-85-year-old population had antibody-mediated hybrid immunity induced by a combination of vaccinations and infections by the end of 2022. In conclusion, major shifts in the COVID-19 pandemic and resulting population immunity could be observed by serological testing.

Virtual visits at the Helsinki Head and Neck Center during the COVID-19 pandemic: patient safety incidents and the experiences of patients and staff.

BACKGROUND: During the COVID-19 pandemic, health care had to find new ways to care for patients while reducing infection transmission. The role of telemedicine role has grown exponentially. METHODS: A questionnaire on experiences and satisfaction was sent to the staff of the Head and Neck Center of Helsinki University Hospital and to otorhinolaryngology patients treated remotely between March and June 2020. Additionally, patient safety incident reports were examined for incidents involving virtual visits. RESULTS: Staff (response rate 30.6%, (n = 116)) opinions seemed to be quite polarized. In general, staff felt virtual visits were useful for select groups of patients and certain situations, and beneficial in addition to face-to-face visits, not instead of them. Patients (response rate 11.7%, (n = 77)) gave positive feedback on virtual visits, with savings in time (average 89 min), distance travelled (average 31.4 km) and travel expenses (average 13.84€). CONCLUSIONS: While telemedicine was implemented during the COVID-19 pandemic to ensure patient treatment, its usefulness after the pandemic must be examined. Evaluation of treatment pathways is critical to ensure that quality of care is upheld while new treatment protocols are introduced. Telemedicine offers the opportunity to save environmental, temporal, and monetary resources. Nonetheless, the appropriate use of telemedicine is essential, and clinicians must be offered the option to examine and treat patients face-to-face.

Clinical Alarms in a Gynaecological Surgical Unit: A Retrospective Data Analysis.

Alarm fatigue refers to the desensitisation of medical staff to patient monitor clinical alarms, which may lead to slower response time or total ignorance of alarms and thereby affects patient safety. The reasons behind alarm fatigue are complex; the main contributing factors include the high number of alarms and the poor positive predictive value of alarms. The study was performed in the Surgery and Anaesthesia Unit of the Women's Hospital, Helsinki, by collecting data from patient monitoring device clinical alarms and patient characteristics from surgical operations. We descriptively analysed the data and statistically analysed the differences in alarm types between weekdays and weekends, using chi-squared, for a total of eight monitors with 562 patients. The most common operational procedure was caesarean section, of which 149 were performed (15.7%). Statistically significant differences existed in alarm types and procedures between weekdays and weekends. The number of alarms produced was 11.7 per patient. In total, 4698 (71.5%) alarms were technical and 1873 (28.5%) were physiological. The most common physiological alarm type was low pulse oximetry, with a total of 437 (23.3%). Of all the alarms, the number of alarms either acknowledged or silenced was 1234 (18.8%). A notable phenomenon in the study unit was alarm fatigue. Greater customisation of patient monitors for different settings is needed to reduce the number of alarms that do not have clinical significance.

Patient safety incidents in dentomaxillofacial imaging: reported adverse events from Hospital District Helsinki and Uusimaa and the City of Helsinki during 2012-2017.

OBJECTIVES: Our study aimed to reveal the frequency of patient safety incidents (PSI) in dentomaxillofacial radiology (DMFR), including their mitigating and contributing factors, to help recognize and thus better prevent these adverse events (AE) in the future. METHODS: Hospital District Helsinki and Uusimaa (HUS) and the City of Helsinki (HKI) use HaiPro, an anonymous web-based tool, for healthcare professionals to report PSI. Dentistry-related PSIs were evaluated individually to find any DMFR-related reports. Additionally, we searched the HaiPro-data using multiple dentistry- and DMFR-related keywords. We compartmentalized all DMFR-related PSI by their type and assessed their contributing factors, as well as their risk classification, severity, outcome, and possible corrective actions. RESULTS: In HUS and HKI, 43 of the 195,589 HaiPro-reports filed during 2012-2017 were DMFR-related. The most prevalent event type of DMFR-related PSIs was laboratory-, medical imaging-, or other patient examination-related events (33%). The second most common event type was defined as being related to flow or control of information (26%). For both of these event types, the most common contributing factors were shortcomings of communication and flow of information. Risk classification showed only one AE to be of moderate risk, and all others were perceived as irrelevant or minor. CONCLUSIONS: PSI in DMFR are only rarely reported, and mostly, they are perceived of causing little or no harm. We detected a great difference in reporting activity between primary and secondary healthcare workers, but the underlaying causes remain unclear.

Understanding public procurement within the health sector: a priority in a post-COVID-19 world.

Every year, over 250,000 public authorities in the European Union (EU) spend about 14% of GDP on the purchase of services, works and supplies. Many are in the health sector, a sector in which public authorities are the main buyers in many countries. When these purchases exceed threshold values, EU public procurement rules apply. Public procurement is increasingly being promoted as a tool for improving efficiency and contributing to better health outcomes, and as a policy lever for achieving other government goals, such as innovation, the development of small and medium-sized enterprises, sustainable green growth and social objectives like public health and greater inclusiveness. In this paper, we describe the challenges that arise within health care systems with public procurement and identify potential solutions to them. We examined the tendering of pharmaceuticals, health technology, and e-health. In each case we identify a series of challenges relating to the complexity of the procurement process, imbalances in power on either side of transactions and the role of procurement in promoting broader public policy objectives. Finally, we recommend several actions that could stimulate better procurement, and suggest a few areas where further EU cooperation can be pursued.

Fall rates by specialties and risk factors for falls in acute hospital: A retrospective study.

BACKGROUND: Falls are common adverse events in acute care hospitals, and about 25-50% of fallers suffer injuries. In acute care, fall rates range from 0.4-9 falls per 1000 patient days, varying among unit types, patient characteristics, and diseases. Several risk factors have been identified, including recent falls, age, reduced mobility, cognitive ability and polypharmacy. Several countries have become an aging society in which an increasing number of older patients need acute care. Therefore, the prevention of falls has become one of the most important aspects of patient safety. AIM AND DESIGN: This retrospective study aimed to explore adults' inpatient falls in a Finnish university hospital with several specialties. The objectives were to draw an overall picture of fall rates in Finnish acute care, and to model risk factors for falls including secondary diagnoses. METHODS: The study was conducted in a large university hospital in Finland. The data consisted of patients' electronic health records from 2014-2016 and included a total of 114,951 adult patients. Univariable and multivariable binary logistic regression model analysis was used to identify risk factors for falls and multiple imputation was used to missing data. The study reporting followed the STROBE guidelines. RESULTS: A total of 841 falls were recorded, totalling 1.5 falls per 1000 patient days, and the rate of falls with injury was 0.4 per 1000 patient days. The regression model included the following risk factors: increasing old age, prolonged hospital stays, specialty of neurology, mode of arrival (emergency care and hospital transfer), no operation during hospital stays and secondary diagnoses such as dementia, pneumonia and alcohol abuse. CONCLUSIONS: In acute care, falls occur most in patients with neurological diagnoses and least in surgical patients. Risk factors for falls include increasing age, emergency arrival, hospital transfer and prolonged hospital stay. RELEVANCE TO CLINICAL PRACTICE: Educational interventions to improve healthcare professionals' competence and preventive interventions to avoid inpatient falls need to be prioritized in medical specialties with high fall rates.

Mental well-being of healthcare workers in 2 hospital districts during the first wave of the COVID-19 pandemic in Finland: a cross-sectional study.

OBJECTIVES: The COVID-19 pandemic has caused unseen pressure on healthcare systems in many countries, jeopardizing the mental well-being of healthcare workers. The authors aimed to assess the mental well-being of Finnish healthcare workers from 2 hospital districts (Helsinki University Hospital [HUS] and Social and Health Services in Kymenlaakso [Kymsote]) with differing COVID-19 incidence rates during the first wave of the COVID-19 pandemic in spring 2020. MATERIAL AND METHODS: A total number of 996 healthcare workers (HUS N = 862, Kymsote N = 134) participated in this prospectively conducted survey study during summer 2020. Symptom criteria of self-reported mental health symptoms followed ICD-10 classification, excluding duration criteria. Participants were divided into symptom categories "often/sometimes", and "rarely/never". These groups were compared to sociodemographic factors and factors related to work, workload, and well-being. RESULTS: The degree of mental health symptoms did not differ between the 2 healthcare districts despite differing COVID-19 incidences (p = 1). The authors observed a significant relationship between self-reported diagnostic mental health symptoms and experiences of insufficient instructions for protection against COVID-19 (in HUS cohort p < 0.001), insufficient recovery from work (p < 0.001), and subjective increased workload (p < 0.001). CONCLUSIONS: The authors' results show the importance of well-planned and sufficient instructions for protection from SARS-CoV-2 for healthcare workers, indicating their need to feel safe and protected at work. The workload of healthcare workers should be carefully monitored to keep it moderate and ensure sufficient recovery. Sufficient control of the epidemic to keep the burden of the healthcare system low is vital for healthcare workers' well-being. Int J Occup Med Environ Health. 2022;35(6):708-18.

SARS-CoV-2 indoor environment contamination with epidemiological and experimental investigations.

SARS-CoV-2 has been detected both in air and on surfaces, but questions remain about the patient-specific and environmental factors affecting virus transmission. Additionally, more detailed information on viral sampling of the air is needed. This prospective cohort study (N = 56) presents results from 258 air and 252 surface samples from the surroundings of 23 hospitalized and eight home-treated COVID-19 index patients between July 2020 and March 2021 and compares the results between the measured environments and patient factors. Additionally, epidemiological and experimental investigations were performed. The proportions of qRT-PCR-positive air (10.7% hospital/17.6% homes) and surface samples (8.8%/12.9%) showed statistical similarity in hospital and homes. Significant SARS-CoV-2 air contamination was observed in a large (655.25 m3 ) mechanically ventilated (1.67 air changes per hour, 32.4-421 L/s/patient) patient hall even with only two patients present. All positive air samples were obtained in the absence of aerosol-generating procedures. In four cases, positive environmental samples were detected after the patients had developed a neutralizing IgG response. SARS-CoV-2 RNA was detected in the following particle sizes: 0.65-4.7 µm, 7.0-12.0 µm, >10 µm, and <100 µm. Appropriate infection control against airborne and surface transmission routes is needed in both environments, even after antibody production has begun.

Risk factors for evaluating early mortality after microvascular reconstruction of head and neck cancers.

BACKGROUND: Free tissue transfer reconstruction carries significant complication rates in surgical head and neck oncology. A registry-based approach offers a possibility to investigate the factors affecting increased morbidity and early mortality, that is, death within 6 months of treatment. METHODS: A retrospective registry review was conducted on a series of 317 consecutive microvascular free tissue transfers in head and neck cancer patients performed during 2013-2017 at the Helsinki University Hospital (Helsinki, Finland). All surviving patients had a minimum follow-up of 2 years (range 24-84 months). RESULTS: Overall, 36 (11.4%) early deaths occurred in this series. In multivariable logistic regression analysis, patients aged 75 years and older (p = 0.019), Adult Comorbidity Evaluation-27 (ACE-27) score of 3 (p = 0.048), tumor class T3 (p = 0.005), lymph node class N2 (p = 0.014), or thrombocyte count of 360 (× 109 L) or more (p = 0.001) were more likely to die within 6 months of surgery. Of these 36 patients, 27 (75%) had a complication warranting hospital care and most (n = 22, 61%) had several complications. CONCLUSIONS: Early postoperative mortality most frequently affects patients aged 75 years and above, with a high ACE-27 score, advanced tumor stage, or high thrombocyte count. Therefore, preoperative assessment and patient selection should have a crucial role in this patient population.

Implementing a New Electronic Health Record System in a University Hospital: The Effect on Reported Medication Errors.

Closed-loop electronic medication management systems (EMMS) have been seen as a potential technology to prevent medication errors (MEs), although the research on them is still limited. The aim of this paper was to describe the changes in reported MEs in Helsinki University Hospital (HUS) during and after implementing an EPIC-based electronic health record system (APOTTI), with the first features of a closed-loop EMMS. MEs reported from January 2018 to May 2021 were analysed to identify changes in ME trends with quantitative analysis. Severe MEs were also analysed via qualitative content analysis. A total of 30% (n = 23,492/79,272) of all reported patient safety incidents were MEs. Implementation phases momentarily increased the ME reporting, which soon decreased back to the earlier level. Administration and dispensing errors decreased, but medication reconciliation, ordering, and prescribing errors increased. The ranking of the TOP 10 medications related to MEs remained relatively stable. There were 92 severe MEs related to APOTTI (43% of all severe MEs). The majority of these (55%, n = 53) were related to use and user skills, 24% (n = 23) were technical failures and flaws, and 21% (n = 21) were related to both. Using EMMS required major changes in the medication process and new technical systems and technology. Our medication-use process is approaching a closed-loop system, which seems to provide safer dispensing and administration of medications. However, medication reconciliation, ordering, and prescribing still need to be improved.

A machine learning approach to predict resilience and sickness absence in the healthcare workforce during the COVID-19 pandemic.

During the COVID-19 pandemic, healthcare workers (HCWs) have faced unprecedented workloads and personal health risks leading to mental disorders and surges in sickness absence. Previous work has shown that interindividual differences in psychological resilience might explain why only some individuals are vulnerable to these consequences. However, no prognostic tools to predict individual HCW resilience during the pandemic have been developed. We deployed machine learning (ML) to predict psychological resilience during the pandemic. The models were trained in HCWs of the largest Finnish hospital, Helsinki University Hospital (HUS, N = 487), with a six-month follow-up, and prognostic generalizability was evaluated in two independent HCW validation samples (Social and Health Services in Kymenlaakso: Kymsote, N = 77 and the City of Helsinki, N = 322) with similar follow-ups never used for training the models. Using the most predictive items to predict future psychological resilience resulted in a balanced accuracy (BAC) of 72.7-74.3% in the HUS sample. Similar performances (BAC = 67-77%) were observed in the two independent validation samples. The models' predictions translated to a high probability of sickness absence during the pandemic. Our results provide the first evidence that ML techniques could be harnessed for the early detection of COVID-19-related distress among HCWs, thereby providing an avenue for potential targeted interventions.

Effect of age adjustment on two triage methods.

BACKGROUND: Most emergency departments rely on acuity assessment, triage, to recognize critically ill patients that need urgent treatment, and to allocate resources according to need. The accuracy of commonly used triage instruments such as the Emergency Severity Index (ESI) is lower for older adults compared to young patients. We aim to examine, whether adjusting the triage category by age leads to improvement in sensitivity without excessive increase in patient numbers in the higher triage categories. The primary outcome measure was 3-day mortality and secondary outcomes were 30-day mortality, hospital admission, and HDU/ICU admissions. METHODS: We gathered data of all adult patients who had an unscheduled visit to any of our three emergency departments within one month. The data was analysed for 3-day mortality, 30-day mortality, hospital admission, and high dependency unit or intensive care unit (HDU/ICU) admission. The analysis was run for both the standard ESI triage method and a local 3-level Helsinki University Hospital (HUH) method. A further analysis was run for both triage methods with age adjustment. Net reclassification improvement values were calculated to demonstrate the effect of age adjustment. RESULTS: Thirteen thousand seven hundred fifty-nine patients met the study criteria, median age was 57. 3-day mortality AUCs for unadjusted HUH and ESI triage were 0.77 (0.65-0.88) and 0.72 (0.57-0.87); 30-day mortality AUCs were 0.64 (0.59-0.69) and 0.69 (0.64-0.73); hospital admission AUCs were 0.60 (0.68-0.71) and 0.66 (0.65-0.68) and HDU/ICU admission AUCs were 0.67 (0.64-0.70) and 0.82 (0.79-0.86), respectively. Age adjustment improved accuracy for 30-day mortality and hospital admission. With the threshold age of 80, AUCs for 30-day mortality were 0.73 (0.68-0.77) and 0.77 (0.73-0.81) and for hospital admission, 0.66 (0.65-0.67) and 0.72 (0.71-0.73) for the HUH and ESI triage. The effect was similar with all cut off ages. CONCLUSION: Moving older adults into a more urgent triage category based on age, improved the triage instruments' performance slightly in predicting 30-day mortality and hospital admission without excessive increase in patient numbers in the higher triage categories. Age adjustment did not improve HDU/ICU admission or 3-day mortality prediction.

Aerosol generation during general anesthesia is comparable to coughing: An observational clinical study.

BACKGROUND: Intubation, laryngoscopy, and extubation are considered highly aerosol-generating procedures, and additional safety protocols are used during COVID-19 pandemic in these procedures. However, previous studies are mainly experimental and have neither analyzed staff exposure to aerosol generation in the real-life operating room environment nor compared the exposure to aerosol concentrations generated during normal patient care. To assess operational staff exposure to potentially infectious particle generation during general anesthesia, we measured particle concentration and size distribution with patients undergoing surgery with Optical Particle Sizer. METHODS: A single-center observative multidisciplinary clinical study in Helsinki University Hospital with 39 adult patients who underwent general anesthesia with tracheal intubation. Mean particle concentrations during different anesthesia procedures were statistically compared with cough control data collected from 37 volunteers to assess the differences in particle generation. RESULTS: This study measured 25 preoxygenations, 30 mask ventilations, 28 intubations, and 24 extubations. The highest total aerosol concentration of 1153 particles (p)/cm³ was observed during mask ventilation. Preoxygenations, mask ventilations, and extubations as well as uncomplicated intubations generated mean aerosol concentrations statistically comparable to coughing. It is noteworthy that difficult intubation generated significantly fewer aerosols than either uncomplicated intubation (p = .007) or coughing (p = 0.006). CONCLUSIONS: Anesthesia induction generates mainly small (<1 µm) aerosol particles. Based on our results, general anesthesia procedures are not highly aerosol-generating compared with coughing. Thus, their definition as high-risk aerosol-generating procedures should be re-evaluated due to comparable exposures during normal patient care. IMPLICATION STATEMENT: The list of aerosol-generating procedures guides the use of protective equipments in hospitals. Intubation is listed as a high-risk aerosol-generating procedure, however, aerosol generation has not been measured thoroughly. We measured aerosol generation during general anesthesia. None of the general anesthesia procedures generated statistically more aerosols than coughing and thus should not be considered as higher risk compared to normal respiratory activities.

Accuracy of Emergency Severity Index in older adults.

BACKGROUND AND IMPORTANCE: Emergency Severity Index is a five-level triage tool in the emergency department that predicts the need for emergency department resources and the degree of emergency. However, it is unknown whether this is valid in patients aged greater than or equal to 65 years. OBJECTIVE: The aim of the study was to compare the accuracy of the Emergency Severity Index triage system between emergency department patients aged 18-64 and greater than or equal to 65 years. DESIGN, SETTINGS, AND PARTICIPANTS: This was a retrospective observational cohort study of adults who presented to a Finnish emergency department between 1 February 2018 and 28 February 2018. All data were collected from electronic health records. OUTCOME MEASURES AND ANALYSIS: The primary outcome was 3-day mortality. The secondary outcomes were 30-day mortality, hospital admission, high dependency unit or ICU admission, and emergency department length of stay. The area under the receiver operating characteristic curve and cutoff performances were used to investigate significant associations between triage categories and outcomes. The results of the two age groups were compared. MAIN RESULTS: There were 3141 emergency department patients aged 18-64 years and 2370 patients aged greater than or equal to 65 years. The 3-day mortality area under the curve in patients aged greater than or equal to 65 years was greater than that in patients aged 18-64 years. The Emergency Severity Index was associated with high dependency unit/ICU admissions in both groups, with moderate sensitivity [18-64 years: 61.8% (50.9-71.9%); greater than or equal to 65 years: 73.3% (63.5-81.6%)] and high specificity [18-64 years: 93.0% (92.0-93.8%); greater than or equal to 65 years: 90.9% (90.0-92.1%)]. The sensitivity was high and specificity was low for 30-day mortality and hospital admission in both age groups. The emergency department length of stay was the longest in Emergency Severity Index category 3 for both age groups. There was no significant difference in accuracy between age groups for any outcome. CONCLUSION: Emergency Severity Index performed well in predicting high dependency unit/ICU admission rates for both 18-64 years and greater than or equal to 65-year-old patients. It predicted the 3-day mortality for patients aged greater than or equal to 65 years with high accuracy. It was inaccurate in predicting 30-day mortality and hospital admission for both age groups.