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.

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.

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.

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.

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.

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.

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.

Clinical alarms and alarm fatigue in a University Hospital Emergency Department-A retrospective data analysis.

BACKGROUND: Alarm fatigue is hypothesized to be caused by vast amount of patient monitor alarms. Objectives were to study the frequency and types of patient monitor alarms, to evaluate alarm fatigue, and to find unit specific alarm threshold values in a university hospital emergency department. METHODS: We retrospectively gathered alarm data from 9 September to 6 October 2019, in Jorvi Hospital Emergency department, Finland. The department treats surgical, internal and general medicine patients aged 16 and older. The number of patients is on average 4600 to 5000 per month. Eight out of 46 monitors were used for data gathering and the monitored modalities included electrocardiography, respiratory rate, blood pressure, and pulse oximetry. RESULTS: Total number of alarms in the study monitors was 28 176. Number of acknowledged alarms (ie acknowledgement indicator pressed in the monitor) was 695 (2.5%). The most common alarm types were: Respiratory rate high, 9077 (32.2%), pulse oximetry low, 4572 (16.2%) and pulse oximetry probe off, 4036 (14.3%). Number of alarms with duration under 10 s was 14 936 (53%). Number of individual alarm sounds was 105 000, 469 per monitor per day. Of respiratory rate high alarms, 2846 (31.4%) had initial value below 30 breaths min-1 . Of pulse oximetry low alarms, 2421 (53.0%) had initial value above 88%. CONCLUSIONS: Alarm sound load, from individual alarm sounds, was nearly continuous in an emergency department observation room equipped with nine monitors. Intervention by the staff to the alarms was infrequent. More than half of the alarms were momentary.

Weekend effect on mortality by medical specialty in six secondary hospitals in the Helsinki metropolitan area over a 14-year period.

BACKGROUND: The weekend effect is the phenomenon of a patient's day of admission affecting their risk for mortality. Our study reviews the situation at six secondary hospitals in the greater Helsinki area over a 14-year period by specialty, in order to examine the effect of centralization of services on the weekend effect. METHODS: Of the 28,591,840 patient visits from the years 2000-2013 in our hospital district, we extracted in-patients treated only in secondary hospitals who died during their hospital stay or within 30 days of discharge. We categorized patients based on the type of each admission, namely elective versus emergency, and according to the specialty of their clinical service provider and main diagnosis. RESULTS: A total of 456,676 in-patients (292,399 emergency in-patients) were included in the study, with 17,231 deaths in-hospital or within 30 days of discharge. A statistically significant weekend effect was observed for in-hospital and 30-day post-discharge mortality among emergency patients for 1 of 7 specialties. For elective patients, a statistically significant weekend effect was visible in in-hospital mortality for 4 of 8 specialties and in 30-day post-discharge mortality for 3 of 8 specialties. Surgery, internal medicine, and gynecology and obstetrics were most susceptible to this phenomenon. CONCLUSIONS: A weekend effect was present for the majority of specialties for elective patients, indicating a need for guidelines for these admissions. More disease-specific research is necessary to find the diagnoses, which suffer most from the weekend effect and adjust staffing accordingly.

National Early Warning Score 2 (NEWS2) and 3-level triage scale as risk predictors in frail older adults in the emergency department.

BACKGROUND: The aim of the emergency department (ED) triage is to recognize critically ill patients and to allocate resources. No strong evidence for accuracy of the current triage instruments, especially for the older adults, exists. We evaluated the National Early Warning Score 2 (NEWS2) and a 3-level triage assessment as risk predictors for frail older adults visiting the ED. METHODS: This prospective, observational study was performed in a Finnish ED. The data were collected in a six-month period and included were ≥ 75-year-old residents with Clinical Frailty Scale score of at least four. We analyzed the predictive values of NEWS2 and the three-level triage scale for 30-day mortality, hospital admission, high dependency unit (HDU) and intensive care unit (ICU) admissions, a count of 72-h and 30-day revisits, and ED length-of-stay (LOS). RESULTS: A total of 1711 ED visits were included. Median for age, CFS, LOS and NEWS2 were 85 years, 6 points, 6.2 h and 1 point, respectively. 30-day mortality was 96/1711. At triage, 69, 356 and 1278 of patients were assessed as red, yellow and green, respectively. There were 1103 admissions, of them 31 to an HDU facility, none to ICU. With NEWS2 and triage score, AUCs for 30-day mortality prediction were 0.70 (0.64-0.76) and 0.62 (0.56-0.68); for hospital admission prediction 0.62 (0.60-0.65) and 0.55 (0.52-0.56), and for HDU admission 0.72 (0.61-0.83) and 0.80 (0.70-0.90), respectively. The NEWS2 divided into risk groups of low, medium and high did not predict the ED LOS (p = 0.095). There was a difference in ED LOS between the red/yellow and as red/green patient groups (p < 0.001) but not between the yellow/green groups (p = 0.59). There were 48 and 351 revisits within 72 h and 30 days, respectively. With NEWS2 AUCs for 72-h and 30-day revisit prediction were 0.48 (95% CI 0.40-0.56) and 0.47 (0.44-0.51), respectively; with triage score 0.48 (0.40-0.56) and 0.49 (0.46-0.52), respectively. CONCLUSIONS: The NEWS2 and a local 3-level triage scale are statistically significant, but poor in accuracy, in predicting 30-day mortality, and HDU admission but not ED LOS or revisit rates for frail older adults. NEWS2 also seems to predict hospital admission.

How to govern the digital transformation of health services.

The impact of digitalization of health services has been profound and is expected to be even more profound in the future. It is important to evaluate whether digital health services contribute to health system goals in an optimal way. This should be done at the level of the service, not the 'digital transformation'. Decisions to adopt new digital health services, at different levels of the health care system, are ideally based on evidence regarding their performance in light of health system goals. In order to evaluate this, a broad perspective should be taken in evaluations of digital health services. Attainment of the broad health system goals, including quality, efficiency and equity, are objectives against which to judge new digital health services. These goals in a broad sense are unaltered by the process of digitalization. Governance should be designed and tailored in such a way to capture all relevant changes in an adequate way. When evaluating digital health services many specific aspects need to be considered. Like for other innovations and (new) technologies, such promises may or may not materialize and potential benefits may also be accompanied by unintended and/or negative (side) effects in the short or long term. Hence, the introduction, implementation, use and funding of digital health technologies should be carefully evaluated and monitored. Governments should play a more active role in the further optimization both of the process of decision making (both at the central and decentral level) and the related outcomes. They need to find a balance between centralized and decentralized activity. Moreover, the broader preparation of the health care system to be able to deal with digitalization, from education, through financial and regulatory preconditions, to implementation of monitoring systems to monitor its effects on health system performance remains important.

Propensity score method for analyzing the effect of labor induction in prolonged pregnancy.

INTRODUCTION: There is an ongoing debate on the optimal time of labor induction to reduce the risks associated with prolonged pregnancy. MATERIAL AND METHODS: Registry-based study of 212 716 term, singleton cephalic deliveries between 2006 and 2012 in Finland comparing the outcomes of labor induction with those of expectant management in five, three-day gestational age periods between 40 and 42 weeks (group 1: 40+0 -40+2 ; group 2: 40+3 -40+5 ; group 3: 40+6 -41+1 ; group 4: 41+2 -41+4 ; group 5: 41+5 -42+0 ). Using Poisson regression, induced deliveries in each of the gestational age periods were compared with all ongoing pregnancies. Propensity score matching was applied to reduce confounding by indication. RESULTS: In the gestational age groups 1 and 2, labor induction significantly decreased the risk of meconium aspiration syndrome [relative risk (RR) 0.40, 95% confidence interval (CI) 0.18-0.91 (group 1), RR 0.44, 95% CI 0.21-0.91 (group 2)] but increased the risk for prolonged hospitalization of a neonate [RR 1.30, 95% CI 1.10-1.54 (group 1) and RR 1.23, 95% CI 1.03-1.47 (group 2)]. In groups 3 and 4, labor induction significantly increased the risk for emergency cesarean section [RR 1.17, 95% CI 1.06-1.28 (group 3) and RR 1.19, 95% CI 1.09-1.29 (group 4)] but still reduced the risk for meconium aspiration syndrome. In group 5, labor induction did not affect the risk for any of the studied outcomes (operative delivery, obstetric trauma, neonatal mortality, respirator treatment, Apgar <7). CONCLUSIONS: Propensity score matching is a novel approach to studying the effect of labor induction. It highlighted the conflicting maternal and neonatal risks and benefits of the intervention, and supported expectant management as a valid option, at least until close to 42 weeks.

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.

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.

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.

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.

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.

[Psychoactive drugs and accident risk in road traffic]. / Psykoaktiiviset aineet ja onnettomuusriski tieliikenteessä.

In the DRUID (Driving under the influence of drugs, alcohol and medicines) study, the risk of injury and death was calculated for different psychoactive substances on the basis of samples collected from drivers in road traffic and in various accident situations. The number of persons having used alcohol or drugs with negative effects on the ability to drive was lower in Finland than in Europe on the average. Aggravated drunk drivers and mixed substance abusers pose an accident risk that can be several hundredfold higher compared with sober drivers. More attention should be focused on traffic risks due to mixed use of drugs and alcohol.