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Background: Although indicated, referrals for multifactorial fall risk assessments in older adults with fall related injuries presenting at the emergency department (ED) are not standard. The implementation of a transmural fall-prevention care pathway (TFCP) could bridge this gap by guiding patients to multifactorial fall risk assessments and personalised multidomain interventions in primary care. This study aims to develop and evaluate implementation strategies for a TFCP., Methods: In this mixed-methods implementation study, strategies were developed using the Consolidated Framework for Implementation Research Expert Recommendations for Implementing Change Matching Tool. These were evaluated with patients, involved healthcare professionals, and other stakeholders using the Reach, Adoption, Implementation, and Maintenance of the RE-AIM framework in two cycles. Patients of the TFCP consisted of frail community dwelling individuals aged 65 and over presenting at the ED with fall related injuries., Results: During the first implementation phase, strategies were focussed on assessing readiness, adaptability, local champions, incentives and education for all involved healthcare professions in the TFCP. Only 34.4% of eligible patients were informed of the TFCP at the ED, 30.6% agreed to a fall risk assessment and 8.3% patients received the fall risk assessment. In the second phase, this improved to 67.1%, 64.6%, and 35.4%, respectively. Strategies in this phase focussed on adaptability, obtaining sustainable financial resources, local champions, assessing readiness, and education. The implementation was facilitated by strategies related to awareness, champion recruitment, educational meetings, adaptability of TFCP elements and evaluations of facilitators and barriers., Conclusion: The study outlined strategies for implementing TFCPs in EDs. Strategies included increasing awareness, utilising local champions, educational initiatives, adaptability of the TFCP, and continuous monitoring of facilitators and barriers. These insights can serve as a blueprint for enhancing fall prevention efforts for older adults in emergency department settings., (© 2024. The Author(s).)

Objective: To determine patients' perspectives on home monitoring at emergency department (ED) presentation and shortly after admission and compare these with their physicians' perspectives. Methods: Forty Dutch hospitals participated in this prospective flash mob study. Adult patients with acute medical conditions, treated by internal medicine specialties, presenting at the ED or admitted at the admission ward within the previous 24 h were included. The primary outcome was the proportion of patients who were able and willing to undergo home monitoring. Secondary outcomes included identifying barriers to home monitoring, patient's prerequisites, and assessing the agreement between the perspectives of patients and treating physicians. Results: On February 2, 2023, in total 665 patients [median age 69 (interquartile range: 55-78) years; 95.5% community dwelling; 29.3% Modified Early Warning Score ≥3; 29.5% clinical frailty score ≥5] were included. In total, 19.6% of ED patients were admitted and 26% of ward patients preferred home monitoring as continuation of care. Guaranteed readmission (87.8%), ability to contact the hospital 24/7 (77.3%), and a family caregiver at home (55.7%) were the most often reported prerequisites. Barriers for home monitoring were feeling too severely ill (78.8%) and inability to receive the required treatment at home (64.4%). The agreement between patients and physicians was fair (Cohens kappa coefficient 0.26). Conclusions: A substantial proportion of acutely ill patients stated that they were willing and able to be monitored at home. Guaranteed readmission, availability of a treatment team (24/7), and a home support system are needed for successful implementation of home monitoring in acute care.

Objectives: Patient safety is a core component of quality of hospital care and measurable through adverse event (AE) rates. A high-risk group are femoral neck fracture patients. The Dutch clinical guideline states that the treatment of choice is cemented total hip arthroplasty (THA) or hemiarthroplasty (HA). We aimed to identify the prevalence of AEs related to THA/HA in a sample of patients who died in the hospital., Methods: We used data of a nationwide retrospective record review study. Records were systematically reviewed for AEs, preventability and contribution to the patient's death. We drew a subsample of THA/HA AEs and analyzed these cases., Results: Of the 2998 reviewed records, 38 patients underwent THA/HA, of whom 24 patients suffered 25 AEs (prevalence = 68.1%; 95% confidence interval, 51.4-81.2), and 24 contributed to death. Patients with a THA/HA AE were of high age (median = 82.5 y) and had severe comorbidity (Charlson score ≥5). The majority of THA/HA AEs had a patient-related cause and was considered partly preventable. Examples of suggested actions that might have prevented the AEs: refraining from surgery, adhering to medication guidelines, uncemented procedures, comprehensive presurgical geriatric assessment, and better postsurgical monitoring., Discussion: Our study shows a high prevalence of (fatal) adverse events in patients undergoing THA/HA. This seems particularly valid for cemented implants in frail old patients, indicating room for improvement of patient safety in this group. Therefore, we recommend physicians to engage in comprehensive shared decision making with these patients and decide on a treatment fitting to a patient's preexisting health status, preferences, and values., Competing Interests: The authors disclose no conflict of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Polysomnography (PSG) is the reference standard of sleep measurement, but is burdensome for the participant and labor intensive. Affordable electroencephalography (EEG)-based wearables are easy to use and are gaining popularity, yet selecting the most suitable device is a challenge for clinicians and researchers. In this systematic review, we aim to provide a comprehensive overview of available EEG-based wearables to measure human sleep. For each wearable, an overview will be provided regarding validated population and reported measurement properties. A systematic search was conducted in the databases OVID MEDLINE, Embase.com and CINAHL. A machine learning algorithm (ASReview) was utilized to screen titles and abstracts for eligibility. In total, 60 papers were selected, covering 34 unique EEG-based wearables. Feasibility studies indicated good tolerance, high compliance, and success rates. The 42 included validation studies were conducted across diverse populations and showed consistently high accuracy in sleep staging detection. Therefore, the recent advancements in EEG-based wearables show great promise as alternative for PSG and for at-home sleep monitoring. Users should consider factors like user-friendliness, comfort, and costs, as these devices vary in features and pricing, impacting their suitability for individual needs., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background : This study aims to describe a prospective clinical cohort of patients with silicone breast implants and suspected Breast Implant Illness (BII). Methods : Women were included in a specialized silicone outpatient clinic at Amsterdam UMC, the Netherlands. Baseline characteristics were collected including medical history, implant details, and symptoms. Experienced physicians categorized BII suspicion as high, moderate, or low, based on symptoms and after exclusion of other probable causes. Additionally, participants completed questionnaires assessing symptoms and daily life impact at baseline, 6 months, 1, 2, and 5 years. For this initial analysis, the results from the first three years of inclusions were collected. Results : Data from 353 women were collected from December 2020-December 2023. At baseline, the most reported symptoms were fatigue, arthralgia, myalgia, and morning stiffness, accompanied by local symptoms in 83.3% of patients. At the clinic, 112 women were categorized as having high suspicion of BII, 147 women as moderate, and 94 women as low. At follow-up, 182 women (51.6%) opted for explantation. Following explantation, women with a high or moderate suspicion of BII experienced more significant symptom improvement, accompanied by a decrease in anxiety and a greater sense of control over their illness, compared to women with a low suspicion of BII. Conclusions : Our study highlights a distinct interplay of systemic and local symptoms among women with suspicion of BII. Women with a high or moderate BII suspicion benefit significantly more from explantation than women with low suspicion. Experienced physicians are pivotal in effectively assessing and guiding this patient group, highlighting the need for tailored clinical approaches.

This study researches the quality of care of the newly redesigned Department of Acute Care (AAZ), at the Noordwest Hospital in Den Helder. It is a multi-methodological study. Quality indicators were descriptively compared with a conventional Emergency Department (ED) at the location in Alkmaar. Moreover, focus groups were held among nurses employed in the AAZ and patient experiences were recorded by the Picker Institute with a validated questionnaire. The study shows that the quality of acute care in the harmonica model of the AAZ achieves comparable results compared to the conventional ED design at Alkmaar. These results imply that it is feasible to provide acute care near the patient, with efficient staffing through a redesign of the acute care chain.

Introduction: Early and adequate preliminary diagnosis reduce emergency department (ED) and hospital stay and may reduce mortality. Several studies demonstrated adequate preliminary diagnosis as stated by emergency medical services (EMS) ranging between 61 and 77%. Dutch EMS are highly trained, but performance of stating adequate preliminary diagnosis remains unknown., Methods: This prospective observational study included 781 patients (> 18years), who arrived in the emergency department (ED) by ambulance in two academic hospitals. For each patient, the diagnosis as stated by EMS and the ED physician was obtained and compared. Diagnosis was categorized based on the International Classification of Diseases, 11th Revision., Results: The overall diagnostic agreement was 79% [95%-CI: 76-82%]. Agreement was high for traumatic injuries (94%), neurological emergencies (90%), infectious diseases (84%), cardiovascular (78%), moderate for mental and drug related (71%), gastrointestinal (70%), and low for endocrine and metabolic (50%), and acute internal emergencies (41%). There is no correlation between 28-day mortality, the need for ICU admission or the need for hospital admission with an adequate preliminary diagnosis., Conclusion: In the Netherlands, the extent of agreement between EMS diagnosis and ED discharge diagnosis varies between categories. Accuracy is high in diseases with specific observations, e.g., neurological failure, detectable injuries, and electrocardiographic abnormalities. Further studies should use these findings to improve patient outcome., (© 2024. The Author(s).)

Background: Implant ruptures and gel bleed are not uncommon among women with silicone breast implants. While magnetic resonance imaging (MRI) is traditionally considered the gold standard diagnostic modality, recent studies suggest ultrasound might be an acceptable alternative. This study compares the efficacy of ultrasound and MRI in assessing implant integrity., Methods: Women with silicone breast implants underwent a breast and axillary ultrasound and MRI on the same day. All tests were assessed by experienced radiologists. The accuracy, sensitivity, and specificity of ultrasound and MRI for implant rupture detection and silicone depositions in axillary lymph nodes were evaluated., Findings: A total of 104 women participated in the study. The accuracy, sensitivity, and specificity of ultrasound for detecting implant ruptures compared to MRI were 96 %, 95 %, and 96 %, respectively. MRI demonstrated significantly lower sensitivity (44 %) for detecting silicone depositions in axillary lymph nodes compared to ultrasound. A significant association was observed between the presence of enlarged axillary lymph nodes and/or axillary pain and the detection of silicone depositions in axillary lymph nodes on ultrasound (χ 2 (1, N  = 104) = 5·1, p  = 0·024). Six women exhibited silicone depositions in axillary lymph nodes despite having intact first-pair implants, indicative of gel bleed., Interpretation: Ultrasound is nearly as effective as MRI for detecting breast implant ruptures and is superior for detecting silicone depositions in axillary lymph nodes. We therefore recommend initiating radiological examination in women with breast implants with a breast and axillary ultrasound, proceeding to MRI only if the ultrasound is inconclusive. The prevalence of gel bleed is understudied and its potential adverse health effects might be underestimated. Further research is needed to explore its potential association with development of systemic symptoms., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

Background: Patient safety is crucial for quality of care. Preventable adverse events (AEs) occur in 1 of 20 patients in the hospital, but it is unknown whether this is different for patients with a condition relevant for palliative care. The majority of the limited available research on this topic is only focused on patients already receiving palliative care, and do not make comparisons with other patients at the end-of-life. We identified and compared the prevalence, preventability, nature and causes of AEs in patients with and without a condition relevant for palliative care., Methods: A nationwide retrospective record review study was performed in 20 Dutch hospitals. A total of 2,998 records of patients who died in hospital in 2019 was included. Records were reviewed for AEs. We identified two subgroups: patients with (n = 2,370) or without (n = 248) a condition relevant for palliative care through the selection method of Etkind (2017). Descriptive analyses were performed to calculate prevalence, nature, causes and prevention strategies. T-tests were performed to calculate differences between subgroups., Results: We found no significant differences between subgroups regarding AE prevalence, this was 15.3% in patients with a condition relevant for palliative care, versus 12.0% in patients without a condition relevant for palliative care (p = 0.148). Potentially preventable AE prevalence was 4.3% versus 4.4% (p = 0.975). Potentially preventable death prevalence in both groups was 3.2% (p = 0.938). There were differences in the nature of AEs: in patients with a condition relevant for palliative care this was mostly related to medication (33.1%), and in patients without a condition relevant for palliative care to surgery (50.8%). In both subgroups in the majority of AEs a patient related cause was identified. For the potentially preventable AEs in both subgroups the two most important prevention strategies as suggested by the medical reviewers were reflection and evaluation and quality assurance., Discussion: Patient safety risks appeared to be equally prevalent in both subgroups. The nature of AEs does differ between subgroups: medication- versus surgery-related, indicating that tailored safety measures are needed. Recommendations for practice are to focus on reflecting on AEs, complemented with case evaluations., (© 2024. The Author(s).)

Introduction: The liberal use of blood cultures in emergency departments (EDs) leads to low yields and high numbers of false-positive results. False-positive, contaminated cultures are associated with prolonged hospital stays, increased antibiotic usage and even higher hospital mortality rates. This trial aims to investigate whether a recently developed and validated machine learning model for predicting blood culture outcomes can safely and effectively guide clinicians in withholding unnecessary blood culture analysis., Methods and Analysis: A randomised controlled, non-inferiority trial comparing current practice with a machine learning-guided approach. The primary objective is to determine whether the machine learning based approach is non-inferior to standard practice based on 30-day mortality. Secondary outcomes include hospital length-of stay and hospital admission rates. Other outcomes include model performance and antibiotic usage. Participants will be recruited in the EDs of multiple hospitals in the Netherlands. A total of 7584 participants will be included., Ethics and Dissemination: Possible participants will receive verbal information and a paper information brochure regarding the trial. They will be given at least 1 hour consideration time before providing informed consent. Research results will be published in peer-reviewed journals. This study has been approved by the Amsterdam University Medical Centers' local medical ethics review committee (No 22.0567). The study will be conducted in concordance with the principles of the Declaration of Helsinki and in accordance with the Medical Research Involving Human Subjects Act, General Data Privacy Regulation and Medical Device Regulation., Trial Registration Number: NCT06163781., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

Introduction: The full impact of an acute illness on subsequent health is seldom explicitly discussed with patients. Patients' estimates of their likely prognosis have been explored in chronic care settings and can contribute to the improvement of clinical outcomes and patient satisfaction. This scoping review aimed to identify studies of acutely ill patients' estimates of their outcomes and potential benefits for their care., Methods: A search was conducted in PubMed, Embase, Web of Science and Google Scholar, using terms related to prognostication and acute care. After removal of duplicates, all articles were assessed for relevance by six investigator pairs; disagreements were resolved by a third investigator. Risk of bias was assessed according to the Cochrane Handbook for Systematic Reviews of Interventions., Results: Our search identified 3265 articles, of which 10 were included. The methods of assessing self-prognostication were very heterogeneous. Patients seem to be able to predict their need for hospital admission in certain settings, but not their length of stay. The severity of their symptoms and the burden of their disease are often overestimated or underestimated by patients. Patients with severe health conditions and their relatives tend to be overoptimistic about the likely outcome., Conclusion: The understanding of acutely ill patients of their likely outcomes and benefits of treatment has not been adequately studied and is a major knowledge gap. Limited published literature suggests patients may be able to predict their need for hospital admission. Illness perception may influence help-seeking behaviour, speed of recovery and subsequent quality of life. Knowledge of patients' self-prognosis may enhance communication between patients and their physicians, which improves patient-centred care., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Background: The etiology of capsular contracture (CC), the most common complication following breast augmentation, remains unclear. Chronic, fibrotic inflammation resulting in excessive fibrosis has been proposed as a potential mechanism., Objectives: In this study, we aimed to investigate the relation between biomarkers that are associated with inflammation and fibrosis and the severity of CC., Methods: Fifty healthy females were categorized into 3 groups: females with no-to-mild CC (Baker 1-2; n = 15), females with severe CC (Baker 3-4; n = 20), and a control group awaiting breast augmentation ( n = 15). We assessed 5 biomarkers (galectin-1 [Gal-1], interferon-β [INF-β], interferon-γ [INF-γ], interleukin-6 [IL-6], and tumor necrosis factor-α [TNF-α]) in breast implant capsules and serum samples., Results: No significant differences in intracapsular cytokine levels were observed between the Baker 1-2 and the Baker 3-4 groups, as the levels were generally low and, in some cases, almost undetectable. In the blood samples, no significant differences in Gal-1, INF-γ, IL-6, or TNF-α levels were found within the 3 groups. We identified significantly increased levels of INF-β ( P = .009) in the blood samples of females with severe CC, driven mainly by 3 extremely high values., Conclusions: The cytokines assessed in this study did not reflect the degree of CC among females with silicone breast implants. However, 3 females with severe CC, who all had prolonged silicone exposure, showed extremely elevated levels of INF-β in their serum samples. This possible association between prolonged silicone exposure and systemic inflammation in some females should be further investigated., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Aesthetic Society.)

Background: Excessive use of blood cultures (BCs) in Emergency Departments (EDs) results in low yields and high contamination rates, associated with increased antibiotic use and unnecessary diagnostics. Our team previously developed and validated a machine learning model to predict BC outcomes and enhance diagnostic stewardship. While the model showed promising initial results, concerns over performance drift due to evolving patient demographics, clinical practices, and outcome rates warrant continual monitoring and evaluation of such models., Methods: A real-time evaluation of the model's performance was conducted between October 2021 and September 2022. The model was integrated into Amsterdam UMC's Electronic Health Record system, predicting BC outcomes for all adult patients with BC draws in real time. The model's performance was assessed monthly using metrics including the Area Under the Curve (AUC), Area Under the Precision-Recall Curve (AUPRC), and Brier scores. Statistical Process Control (SPC) charts were used to monitor variation over time., Findings: Across 3.035 unique adult patient visits, the model achieved an average AUC of 0.78, AUPRC of 0.41, and a Brier score of 0.10 for predicting the outcome of BCs drawn in the ED. While specific population characteristics changed over time, no statistical points outside the statistical control range were detected in the AUC, AUPRC, and Brier scores, indicating stable model performance. The average BC positivity rate during the study period was 13.4%., Interpretation: Despite significant changes in clinical practice, our BC stewardship tool exhibited stable performance, suggesting its robustness to changing environments. Using SPC charts for various metrics enables simple and effective monitoring of potential performance drift. The assessment of the variation of outcome rates and population changes may guide the specific interventions, such as intercept correction or recalibration, that may be needed to maintain a stable model performance over time. This study suggested no need to recalibrate or correct our BC stewardship tool., Funding: No funding to disclose., Competing Interests: Declaration of interests The authors declare no competing interests regarding this work., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

Purpose: The latest Surviving Sepsis Campaign guidelines advocate that all hospitals use sepsis performance improvement programs. However, there is a limited evidence about how to structure such programs and what their potential impact is on sepsis management and outcomes in the emergency department (ED). In this study, we evaluated the implementation of a sepsis performance improvement program in the ED including a dedicated sepsis response team and analyzed the management and outcomes of sepsis patients before and after., Methods: We conducted a before-after interventional study in the ED of the Amsterdam University Medical Centers, the Netherlands. The sepsis performance improvement program included regular educational meetings, daily audits and weekly feedback, a screening tool, and a dedicated multidisciplinary sepsis response team. We studied all adult patients who presented to the ED with a suspected infection and a Modified Early Warning Score (MEWS) ≥ 3 during their stay. In the postintervention phase, these patients were seen by the sepsis team. Process-related and patient-related outcomes were measured between November 2019 and February 2020 (preintervention) and December 2021-May 2022 (postintervention)., Results: A total of 265 patients were included in the primary study, 132 patients preintervention and 133 patients postintervention. The postintervention phase was associated with improvements in nearly all process-related outcomes, such as a shorter time to antibiotics (66 vs. 143 min; p < 0.001), increased number of lactate measurements (72.9 vs. 46.2%; p < 0.001), and improved completeness of documented MEWS scores (85.0 vs. 62.9%; p < 0.001). Except for an improvement in the number of immediate versus delayed ICU admissions (100% immediate vs. 64.3% immediate; p = 0.012), there was no improvement in the other patient-related outcomes such as 28 days mortality (14.3 vs. 9.1%; p = 0.261), during the postintervention phase., Conclusion: Our program stimulated physicians to make timely decisions regarding diagnostics and treatment of sepsis in the ED. Implementing the sepsis performance improvement program was associated with significant improvements in most process-related outcomes but with minimal improvements in patient-related outcomes in our cohort., (© 2022. The Author(s).)

Objective: Older adults at the Emergency Department (ED) often present with nonspecific complaints (NSC) such as 'weakness' or 'feeling unwell'. Health care workers may underestimate illness in patients with NSC, leading to adverse health outcomes. This study compares characteristics and outcomes of NSC-patients versus specific complaints (SC) patients., Methods: Cohort study in patients ≥ 70 years in two Dutch EDs. NSC was classified according to the BANC-study-framework based on the medical history in the ED letter, before additional diagnostics took place. A second classification was performed at the end of the ED visit/hospital admission. Primary outcomes were functional decline, institutionalization, and mortality at 30 days., Results: 26% (n = 228) of a total of 888 included patients presented with NSC. Compared with SC-patients, NSC-patients were older, more frail, and more frequently female. NSC-patients had a higher risk of functional decline and institutionalization at 30 days (adjusted ORs 1.84, 95% CI 1.27 - 2.72, and 2.46, 95% CI 1.51-4.00, respectively), but not mortality (adjusted OR 1.26, 95% CI 0.58 - 2.73). Reclassification to a specific complaint after the ED visit or hospital admission occurred in 54% of NSC-patients., Conclusion: NSC occur especially in older, frail female patients and are associated with an increased risk of functional decline and institutionalization, even after adjustment for worse baseline status. In half of the patients, a specific complaint revealed during ED or hospital stay. Physicians at the ED should consider NSC as a red flag needing appropriate observation and evaluation of underlying serious conditions and needs of this vulnerable patient group., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

This study is a simple illustration of the benefit of averaging over cohorts, rather than developing a prediction model from a single cohort. We show that models trained on data from multiple cohorts can perform significantly better in new settings than models based on the same amount of training data but from just a single cohort. Although this concept seems simple and obvious, no current prediction model development guidelines recommend such an approach., (© 2023. The Author(s).)

Purpose: Patients with COVID-19 have an increased risk for venous thrombo-embolism (VTE), especially pulmonary embolism. The exact prevalence of asymptomatic DVT is not known, as is the usefulness of screening for DVT in patients admitted to ward with COVID-19. We have studied the prevalence of asymptomatic DVT., Methods: We performed a cross-sectional observational multi-center study at four university medical centers in The Netherlands. All adult patients admitted with COVID-19 to a medical ward were eligible for inclusion, including patients who were transferred back from the ICU to the ward. The study protocol consisted of weekly cross-sectional rounds of compression ultrasound., Results: In total, 125 patients were included in the study. A significant proportion of patients (N = 34 (27%)) had developed a VTE during their admission for COVID-19 before the study ultrasound was performed. In most VTE cases (N = 27 (79%)) this concerned pulmonary embolism. A new asymptomatic DVT was found in 5 of 125 patients (4.0%; 95% CI 1.3-9.1%) (Table 2). Nine patients (7.2%; 95% CI 3.3-13.2%) developed a VTE (all PE) diagnosed within 28 days after the screening US was performed., Conclusion: We have shown a low prevalence (4%) of newly discovered asymptomatic DVT outside the ICU-setting in COVID-19 patients. Despite this low prevalence, nine patients developed PE (7%) within 28 days after ultrasound. This favors the hypothesis of local thrombus formation in the lungs. Based on our findings and literature, we do not recommend US-screening of asymptomatic patients with COVID-19 admitted to the ward., (© 2022. The Author(s).)

Background: It is unclear if relevant changes in pulmonary involvement in critically ill COVID-19 patients can be reliably detected by the CT severity score (CTSS) and lung ultrasound score (LUSS), or if these changes have prognostic implications. In addition, it has been argued that adding pleural abnormalities to the LUSS could improve its prognostic value. The objective of this study was to compare LUSS and CTSS for the monitoring of COVID-19 pulmonary involvement through: first, establishing the correlation of LUSS (± pleural abnormalities) and CTSS throughout admission; second, assessing agreement and measurement error between raters for LUSS, pleural abnormalities, and CTSS; third, evaluating the association of the LUSS (± pleural abnormalities) and CTSS with mortality at different timepoints., Methods: This is a prospective, observational study, conducted during the second COVID-19 wave at the AmsterdamUMC, location VUmc. Adult COVID-19 ICU patients were prospectively included when a CT or a 12-zone LUS was performed at admission or at weekly intervals according to local protocol. Patients were followed 90 days or until death. We calculated the: (1) Correlation of the LUSS (± pleural abnormalities) and CTSS throughout admission with mixed models; (2) Intra-class correlation coefficients (ICCs) and smallest detectable changes (SDCs) between raters; (3) Association between the LUSS (± pleural abnormalities) and CTSS with mixed models., Results: 82 consecutive patients were included. Correlation between LUSS and CTSS was 0.45 (95% CI 0.31-0.59). ICCs for LUSS, pleural abnormalities, and CTSS were 0.88 (95% CI 0.73-0.95), 0.94 (95% CI 0.90-0.96), and 0.84 (95% CI 0.65-0.93), with SDCs of 4.8, 1.4, and 3.9. The LUSS was associated with mortality in week 2, with a score difference between patients who survived or died greater than its SDC. Addition of pleural abnormalities was not beneficial. The CTSS was associated with mortality only in week 1, but with a score difference less than its SDC., Conclusions: LUSS correlated with CTSS throughout ICU admission but performed similar or better at agreement between raters and mortality prognostication. Given the benefits of LUS over CT, it should be preferred as initial monitoring tool., (© 2023. The Author(s).)

Objectives: Inappropriate use of laboratory testing remains a challenging problem worldwide. Minimum retest intervals (MRI) are used to reduce inappropriate laboratory testing. However, their effectiveness and the usefulness in reducing inappropriate laboratory testing is still a matter of debate. The aim of this study was to evaluate the effectiveness of broadly implemented MRIs as a means of reducing inappropriate laboratory test requests., Methods: We performed a retrospective study in a general care and teaching hospital in the Netherlands, where MRI alerts have been implemented as standard care since June 7th 2017. Clinical chemistry test orders in adult internal medicine patients placed between July 13th 2017 and December 31st 2019 were included. The primary outcome was the effectiveness of MRIs, expressed as percentages of tests ordered and barred as a result of MRIs., Results: Of a total of 218,511 test requests, 4,159 (1.90%) got an MRI alert. These MRIs were overruled by physicians in 21.76% of the cases. As a result of implementing MRIs, 3,254 (1.49%) tests were barred. The financial savings for the department of internal medicine directly related to the included barred laboratory tests during this period were 11,880 euros on a total amount of 636,598 euros for all performed tests., Conclusions: Only a small proportion of laboratory tests are barred after implementation of MRIs, with a limited impact on the annual costs. However, MRIs provide a continuous reminder to focus on appropriate testing and the effectiveness of MRIs is potentially higher than described in this study., (© 2022 the author(s), published by De Gruyter, Berlin/Boston.)

Background: Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing., Objective: The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors., Methods: A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep' and 'hospitalization'. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines., Results: Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6-1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep., Conclusion: Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7-3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3-3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 The Authors. Published by Elsevier B.V.)

Importance: Inadequate sleep negatively affects patients' physical health, mental well-being, and recovery. Nonpharmacologic interventions are recommended as first-choice treatment. However, studies evaluating the interventions are often of poor quality and show equivocal results., Objective: To assess whether the implementation of nonpharmacologic interventions is associated with improved inpatient night sleep., Design, Setting, and Participants: In a nonrandomized controlled trial, patients were recruited on the acute medical unit and medical and surgical wards of a Dutch academic hospital. All adults who spent exactly 1 full night in the hospital were recruited between September 1, 2019, and May 31, 2020 (control group), received usual care. Patients recruited between September 1, 2020, and May 31, 2021, served as the intervention group. The intervention group received earplugs, an eye mask, and aromatherapy. Nurses received sleep-hygiene training, and in the acute medical unit, the morning medication and vital sign measurement rounds were postponed from the night shift to the day shift. All interventions were developed in collaboration with patients, nurses, and physicians., Main Outcomes and Measures: Sleep was measured using actigraphy and the Dutch-Flemish Patient-Reported Outcomes Measurement Information System sleep disturbance item bank. Other outcomes included patient-reported sleep disturbing factors and the use of sleep-enhancing tools., Results: A total of 374 patients were included (222 control, 152 intervention; median age, 65 [IQR, 52-74] years). Of these, 331 were included in the analysis (195 [59%] men). Most patients (138 [77%] control, 127 [84%] intervention) were in the acute medical unit. The total sleep time was 40 minutes longer in the intervention group (control: median, 6 hours and 5 minutes [IQR, 4 hours and 55 minutes to 7 hours and 4 minutes]; intervention: 6 hours and 45 minutes [IQR, 5 hours and 47 minutes to 7 hours and 39 minutes]; P < .001). This was mainly due to a 30-minute delay in final wake time (median clock-time: control, 6:30 am [IQR, 6:00 am to 7:22 am]; intervention, 7:00 am [IQR, 6:30-7:30 am]; P < .001). Sleep quality did not differ significantly between groups. For both groups, the main sleep-disturbing factors were noises, pain, toilet visits, and being awakened by hospital staff. Sleep masks (23 of 147 [16%]) and earplugs (17 of 147 [12%]) were used most. Nightly vital sign checks decreased significantly (control: 54%; intervention: 11%; P < .001)., Conclusions and Relevance: The findings of this study suggest that sleep of hospitalized patients may be significantly improved with nonpharmacologic interventions. Postponement of morning vital sign checks and medication administration rounds from the night to the day shift may be a useful way to achieve this., Trial Registration: Netherlands Trial Registry Identifier: NL7995.

To analyze the available literature on the performance of artificial intelligence-generated clinical models for the prediction of serious life-threatening events in non-ICU adult patients and evaluate their potential clinical usage., Data Sources: The PubMed database was searched for relevant articles in English literature from January 1, 2000, to January 23, 2022. Search terms, including artificial intelligence, machine learning, deep learning, and deterioration, were both controlled terms and free-text terms., Study Selection: We performed a systematic search reporting studies that showed performance of artificial intelligence-based models with outcome mortality and clinical deterioration., Data Extraction: Two review authors independently performed study selection and data extraction. Studies with the same outcome were grouped, namely mortality and various forms of deterioration (including ICU admission, adverse events, and cardiac arrests). Meta-analysis was planned in case sufficient data would be extracted from each study and no considerable heterogeneity between studies was present., Data Synthesis: In total, 45 articles were included for analysis, in which multiple methods of artificial intelligence were used. Twenty-four articles described models for the prediction of mortality and 21 for clinical deterioration. Due to heterogeneity of study characteristics (patient cohort, outcomes, and prediction models), meta-analysis could not be performed. The main reported measure of performance was the area under the receiver operating characteristic (AUROC) ( n = 38), of which 33 (87%) had an AUROC greater than 0.8. The highest reported performance in a model predicting mortality had an AUROC of 0.935 and an area under the precision-recall curve of 0.96., Conclusions: Currently, a growing number of studies develop and analyzes artificial intelligence-based prediction models to predict critical illness and deterioration. We show that artificial intelligence-based prediction models have an overall good performance in predicting deterioration of patients. However, external validation of existing models and its performance in a clinical setting is highly recommended., Competing Interests: The authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.)

Background: Overuse of blood cultures (BCs) in emergency departments (EDs) leads to low yields and high numbers of contaminated cultures, accompanied by increased diagnostics, antibiotic usage, prolonged hospitalization, and mortality. We aimed to simplify and validate a recently developed machine learning model to help safely withhold BC testing in low-risk patients., Methods: We extracted data from the electronic health records (EHR) for 44.123 unique ED visits with BC sampling in the Amsterdam UMC (locations VUMC and AMC; the Netherlands), Zaans Medical Center (ZMC; the Netherlands), and Beth Israel Deaconess Medical Center (BIDMC; United States) in periods between 2011 and 2021. We trained a machine learning model on the VUMC data to predict blood culture outcomes and validated it in the AMC, ZMC, and BIDMC with subsequent real-time prospective evaluation in the VUMC., Findings: The model had an Area Under the Receiver Operating Characteristics curve (AUROC) of 0.81 (95%-CI = 0.78-0.83) in the VUMC test set. The most important predictors were temperature, creatinine, and C-reactive protein. The AUROCs in the validation cohorts were 0.80 (AMC; 0.78-0.82), 0.76 (ZMC; 0.74-0.78), and 0.75 (BIDMC; 0.74-0.76). During real-time prospective evaluation in the EHR of the VUMC, it reached an AUROC of 0.76 (0.71-0.81) among 590 patients with BC draws in the ED. The prospective evaluation showed that the model can be used to safely withhold blood culture analyses in at least 30% of patients in the ED., Interpretation: We developed a machine learning model to predict blood culture outcomes in the ED, which retained its performance during external validation and real-time prospective evaluation. Our model can identify patients at low risk of having a positive blood culture. Using the model in practice can significantly reduce the number of blood culture analyses and thus avoid the hidden costs of false-positive culture results., Funding: This research project was funded by the Amsterdam Public Health - Quality of Care program and the Dutch "Doen of Laten" project (project number: 839205002)., Competing Interests: Declaration of interests The authors declare no competing interests pertaining to the submitted work., (Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.)

Purpose: Older adults at the emergency department (ED) with polypharmacy, comorbidity, and frailty are at risk of adverse health outcomes. We investigated the association of polypharmacy with adverse health outcomes, in relation to comorbidity and frailty., Methods: This is a prospective cohort study in ED patients  ≥ 70 years. Non-polypharmacy was defined as 0-4 medications, polypharmacy 5-9 and excessive polypharmacy ≥ 10. Comorbidity was classified by the Charlson comorbidity index (CCI). Frailty was defined by the Identification of Seniors At Risk-Hospitalized Patients (ISAR-HP) score. The primary outcome was 3-month mortality. Secondary outcomes were readmission to an ED/hospital ward and a self-reported fall < 3 months. The association between polypharmacy, comorbidity and frailty was analyzed by logistic regression., Results: 881 patients were included. 43% had polypharmacy and 18% had excessive polypharmacy. After 3 months, 9% died, 30% were readmitted, and 21% reported a fall. Compared with non-polypharmacy, the odds ratio (OR) for mortality ranged from 2.62 (95% CI 1.39-4.93) in patients with polypharmacy to 3.92 (95% CI 1.95-7.90) in excessive polypharmacy. The OR weakened after adjustment for comorbidity: 1.80 (95% CI 0.92-3.52) and 2.32 (95% CI 1.10-4.90). After adjusting for frailty, the OR weakened to 2.10 (95% CI 1.10-4.00) and OR 2.40 (95% CI 1.15-5.02). No significant association was found for readmission or self-reported fall., Conclusions: Polypharmacy is common in older patients at the ED. Polypharmacy, and especially excessive polypharmacy, is associated with an increased risk of mortality. The observed association is complex given the confounding effect of comorbidity and frailty., (© 2022. The Author(s).)

Background: Community-acquired pneumonia (CAP) can be caused by a variety of pathogens, of which Streptococcus pneumoniae, Influenza and currently SARS-CoV-2 are the most common. We sought to identify shared and pathogen-specific host response features by directly comparing different aetiologies of CAP., Methods: We measured 72 plasma biomarkers in a cohort of 265 patients hospitalized for CAP, all sampled within 48 hours of admission, and 28 age-and sex matched non-infectious controls. We stratified the biomarkers into several pathophysiological domains- antiviral response, vascular response and function, coagulation, systemic inflammation, and immune checkpoint markers. We directly compared CAP caused by SARS-CoV-2 (COVID-19, n=39), Streptococcus pneumoniae (CAP-strep, n=27), Influenza (CAP-flu, n=22) and other or unknown pathogens (CAP-other, n=177). We adjusted the comparisons for age, sex and disease severity scores., Findings: Biomarkers reflective of a stronger cell-mediated antiviral response clearly separated COVID-19 from other CAPs (most notably granzyme B). Biomarkers reflecting activation and function of the vasculature showed endothelial barrier integrity was least affected in COVID-19, while glycocalyx degradation and angiogenesis were enhanced relative to other CAPs. Notably, markers of coagulation activation, including D-dimer, were not different between the CAP groups. Ferritin was most increased in COVID-19, while other systemic inflammation biomarkers such as IL-6 and procalcitonin were highest in CAP-strep. Immune checkpoint markers showed distinctive patterns in viral and non-viral CAP, with highly elevated levels of Galectin-9 in COVID-19., Interpretation: Our investigation provides insight into shared and distinct pathophysiological mechanisms in different aetiologies of CAP, which may help guide new pathogen-specific therapeutic strategies., Funding: This study was financially supported by the Dutch Research Council, the European Commission and the Netherlands Organization for Health Research and Development., Competing Interests: Declaration of interests JS was on the Data Safety Monitoring Board of the Pointer trial (ISRCTN33682933), and is the Vice President of the European Society of Gastrointestinal and Abdominal Radiology. All other authors declare no conflict of interests., (Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.)

It has been suggested that compounds present in silicone breast implants (eg, silicone particles or heavy metals such as platinum) migrate into the body and can cause systemic symptoms in susceptible women, causing what is known as breast implant illness. This pilot study investigates possible associations between hair platinum levels in patients with breast implants and breast implant illness, and evaluates its possible use for diagnostic purposes., Methods: Patients were included from the silicone outpatient clinic at Amsterdam University Medical Centre. Platinum concentration in hair samples of 10 women with breast implants and systemic symptoms (group A) was compared with that in 10 women with breast implants but no symptoms (group B), and a control group of 10 women without implants or symptoms (group C), using laser ablation inductively coupled plasma mass spectrometry. Radiological imaging was used to assess implant ruptures or silicone leakage., Results: A median platinum concentration of 0.09 μg per kg [IQR 0.04-0.15] was found in group A, 0.08 μg per kg [IQR 0.04-0.12] in group B, and 0.04 μg per kg [IQR 0.02-0.13] in group C, with no statistical significant difference between the groups (Kruskal-Wallis test, P = 0.43). No correlation between radiologically proven implant leakage and platinum level was found., Conclusions: There was no statistically significant difference in hair platinum levels in women with or without silicone breast implants or breast implant illness. Therefore, based on this pilot study, we do not recommend this test for clinical use. Given the small sample size, more research is required to fully assess its possible use for diagnostic purposes., (Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons.)

Background and Importance: Falls among older people occur frequently and are a leading cause of Emergency department (ED) admissions, disability, death and rising health care costs. Multifactorial fall prevention programs that are aimed to target the population at risk have shown to effectively reduce the rate of falling and fall-related injuries in community-dwelling older people. However, the participation of and adherence to these programs in real life situation is generally low., Objective: To test the feasibility of a transitionally organized fall prevention assessment with accompanying personalized intervention initiated at the ED., Design, Settings and Participants: A process evaluation, of a non-randomized controlled pilot trial for implementing a transitionally organized multifactorial fall prevention intervention, was performed using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework to gain insight into the barriers and facilitators of implementation. Older fallers (>70yrs) presenting at the ED were selected based on ZIP-code and after obtaining informed consent, data for the evaluation was collected through questionnaires and interviews. Furthermore, feedback was collected from the healthcare providers., Main Results: The consent was obtained by 24 (70%) of the patients approached directly at the ED and 17 (26%) of the patients approached later by phone. Adherence to the protocol by the participants, clinical assessors and family practice were all more than 90%. After three months, nine (26%) of the participants had at least one recurrent fall: three (20%) patients in the intervention group and six (32%) in the control group., Conclusion: ED presentation due to a fall in older persons provides a window of opportunity for optimizing adherence to a multifactorial fall prevention program as willingness to participate was higher when the patients were approached at the ED during their stay. Implementing a transitionally organized multidisciplinary fall prevention program was successful with a high protocol adherence., The Netherlands Trial Register: NTR NL8142, November 8, 2019., Competing Interests: The authors declare that they have no competing interests.

Purpose: Critically ill COVID-19 patients have an increased risk of developing pulmonary embolism (PE). Diagnosis of PE by point-of-care ultrasound (POCUS) might reduce the need for computed tomography pulmonary angiography (CTPA), while decreasing time-to-diagnosis., Materials & Methods: This prospective, observational study included adult ICU patients with COVID-19. Multi-organ (lungs, deep vein, cardiac) POCUS was performed within 24 h of CTPA, looking for subpleural consolidations, deep venous thrombosis (DVT), and right ventricular strain (RVS). We reported the scan time, and calculated diagnostic accuracy measures for these signs separately and in combination., Results: 70 consecutive patients were included. 23 patients (32.8%) had a PE. Median scan time was 14 min (IQR 11-17). Subpleural consolidations' diagnostic accuracy was: 42.9% (95%CI [34.1-52.0]). DVT's and RVS' diagnostic accuracy was: 75.6% (95%CI [67.1-82.9]) and 74.4% (95%CI [65.8-81.8]). Their sensitivity was: 24.0% (95%CI [9.4-45.1]), and 40.0% (95%CI [21.3-61.3]), while their specificity was: 88.8% (95%CI [80.8-94.3]), and: 83.0% (95%CI [74.2-89.8]), respectively. Multi-organ POCUS sensitivity was: 87.5% (95%CI [67.6-97.3]), and specificity was: 25% (95%CI [16.9-34.7])., Conclusions: Multi-organ rather than single-organ POCUS can be of aid in ruling out PE in critically ill COVID-19 and help select patients for CTPA. In addition, finding RVS can make PE more likely, while a DVT would preclude the need for a CTPA., Registration: www.trialregister.nl: NL8540., Competing Interests: Declaration of Competing Interest The authors have no conflict of interest nor any financial disclosures., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)

Objectives: Unintended events (UEs) are prevalent in healthcare facilities, and learning from them is key to improve patient safety. The Prevention and Recovery Information System for Monitoring and Analysis (PRISMA)-method is a root cause analysis method used in healthcare facilities. The aims of this systematic review are to map the use of the PRISMA-method in healthcare facilities worldwide, to assess the insights that the PRISMA-method offers, and to propose recommendations to increase its usability in healthcare facilities., Methods: PubMed, EMBASE.com, CINAHL, and The Cochrane Library were systematically searched from inception to February 26, 2020. Studies were included if the PRISMA-method for analyzing UEs was applied in healthcare facilities. A quality appraisal was performed, and relevant data based on an appraisal checklist were extracted., Results: The search provided 2773 references, of which 25 articles reporting 10,816 UEs met our inclusion criteria. The most frequently identified root causes were human-related, followed by organizational factors. Most studies took place in the Netherlands (n = 20), and the sample size ranged from 1 to 2028 UEs. The study setting and collected data used for PRISMA varied widely. The PRISMA-method performed by multiple persons resulted in more root causes per event., Conclusions: To better understand UEs in healthcare facilities and formulate optimal countermeasures, our recommendations to further improve the PRISMA-method mainly focus on combining information from patient files and reports with interviews, including multiple PRISMA-trained researchers in an analysis, and modify the Eindhoven Classification Model if needed., Competing Interests: The authors disclose no conflict of interest., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.)

Objective: During the winter, many patients present with suspected infection that could be a viral or a bacterial (co)infection. The aim of this study is to investigate whether the optimal use of procalcitonin (PCT) is different in patients with and without proven viral infections for the purpose of excluding bacteremia. We hypothesize that when a viral infection is confirmed, this lowers the probability of bacteremia and, therefore, influences the appropriate cutoff of procalcitonin., Methods: This study was conducted in the emergency department of an academic medical center in The Netherlands in the winter seasons of 2019 and 2020. Adults (>18 years) with suspected infection, in whom a blood culture and a rapid polymerase chain reaction test for influenza was performed were included., Results: A total of 546 patients were included of whom 47 (8.6%) had a positive blood culture. PCT had an area under the curve of 0.85, 95% confidence interval (95% CI) 0.80-0.91, for prediction of bacteremia. In patients with a proven viral infection (N = 212) PCT < 0.5 μg/L had a sensitivity of 100% (95% CI 63.1-100) and specificity of 81.2% (95% CI 75.1-86.3) to exclude bacteremia. In patients without a viral infection, the procalcitonin cutoff point of < 0.25 μg/L showed a sensitivity of 87.2% (95% CI 72.6-95.7) and specificity of 64.1 % (95% CI 58.3-69.6)., Conclusion: In patients with a viral infection, our findings suggest that a PCT concentration of <0.50 μg/L makes bacteremia unlikely. However, this finding needs to be confirmed in a larger population of patients with viral infections, especially because the rate of coinfection in our cohort was low., Competing Interests: None to declareKaoutar Azijli, Tanca C. Minderhoud, and Prabath W.B. Nanayakkara developed the research plan. Kaoutar Azijli, Tanca C. Minderhoud, Carlijn J. de Gans, and Carlijn J. de Gans designed the study. Carlijn J. de Gans, with the help of Kaoutar Azijli, Arthur W.E. Lievel, and Prabath W.B. Nanayakkara collected the data and created the database. The database was checked by Tanca C. Minderhoud. Carlijn J. de Gans, Tanca C. Minderhoud, and Kaoutar Azijli analyzed the data. Carlijn J. de Gans drafted a first version of the paper. Tanca C. Minderhoud and Kaoutar Azijli wrote the definite version of the paper. All authors critically appraised the paper, revised where appropriate and approved the final version of the manuscript. Tanca C. Minderhoud designed the visual abstract., (© 2022 The Authors. JACEP Open published by Wiley Periodicals LLC on behalf of American College of Emergency Physicians.)

Background: Sleep is vital for recovery during hospital stay. Many sleep-promoting interventions have been investigated in the past. Nurses seem to overestimate their patients sleep and their perspective is needed for these interventions to be successfully implemented., Objectives: To assess the patient's and nurse's agreement on the patient's sleep and factors disturbing sleep., Methods: The instruments used included 1) five Richard-Campbell Sleep Questionnaire (RCSQ) items plus a rating of nighttime noise and 2) the Consensus Sleep Diary (CSD). The mean of the five RCSQ items comprised a total score, which reflects sleep quality. Once a week, unannounced, nurses and patients were asked to fill in questionnaires concerning last night's sleep. Neither nurses nor patients knew the others' ratings. Patient-nurse agreement was evaluated by using median differences and Bland-Altman plots. Reliability was evaluated by using intraclass correlation coefficients., Results: Fifty-five paired patient-nurse assessments have been completed. For all RCSQ subitems, nurses' scores were higher (indicating "better" sleep) than patients' scores, with a significantly higher rating for sleep depth (median [IQR], 70 [40] vs 50 [40], P = .012). The Bland-Altman plots for the RSCQ Total Score (r = 0.0593, P = .008) revealed a significant amount of variation (bias). The intra-class correlation coefficient (ICC) indicated poor reliability for all 7 measures (range -0.278 - 0.435). Nurses were relatively overestimating their own role in causing sleep disturbances and underestimating patient-related factors., Conclusions: Nurses tend to overestimate patients' sleep quality as well as their own role in causing sleep disturbances., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2022 The Authors. Published by Elsevier B.V.)

Purpose: Up to 22% of older patients who visit the emergency department (ED) have a return visit within 30 days. To achieve patient-centered care for this group at the ED it is important to involve the patient perspective and strive to provide the best possible experience. The aim of this study was to gain insight into the experiences and perspectives of older patients from initial to return ED visit by mapping their patient journey., Methods: We performed a qualitative patient journey study with 13 patients of 70 years and older with a return ED visit within 30 days who presented at the Amsterdam UMC, a Dutch academic hospital. We used semi-structured interviews focusing on the patient experience during their journey and developed a conceptual framework for coding., Results: Our sample consisted of 13 older patients with an average age of 80 years, and 62% of them were males. The framework contained a timeline of the patient journey with five chronological main themes, complemented with an 'experience' theme, these were divided into 34 subthemes. Health status, social system, contact with the general practitioner, aftercare, discharge and expectations were the five main themes. The experiences regarding these themes differed greatly between patients. The two most prominent subthemes were waiting time and discharge communication, which were mostly related to a negative experience., Conclusions: This study provides insight into the experiences and perspectives of older patients from initial to return ED visit. The two major findings were that lack of clarity regarding waiting times and suboptimal discharge communication contributed to negative experiences. Recommendations regarding waiting time (i.e. a two-hour time out at the ED), and discharge communication (i.e. checklist for discharge) could contribute to a positive ED experience and thereby potentially improve patient-centered care., (© 2021. The Author(s).)

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2022. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2022 . Further information about the Annual Update in Intensive Care and Emergency Medicine is available from https://link.springer.com/bookseries/8901 ., (© 2022. Schinkel et al.)