Prevalence, risk factors and impact of delirium in adult inpatients in a tertiary care hospital: A point prevalence study.

AIMS: To describe the point prevalence, risk factors and possible outcomes of delirium in inpatients. DESIGN: A cross-sectional point prevalence study. BACKGROUND: Delirium is an acute brain syndrome that negatively affects patients, healthcare professionals and institutions alike; it is common in inpatient settings and is preventable in about one third of cases. Although guidelines recommend systematic screening and assessment, delirium is often unrecognised, undiagnosed and uncoded. There is a lack of valid data on this patient safety indicator in German-speaking countries. METHODS: The study was conducted in a tertiary care hospital in Switzerland on 5 July 2022. Specially trained registered nurses collected data from all patients meeting the inclusion criteria using CAM, ICDSC or mCAM-ED. Data were analysed descriptively with stratification by delirium status, setting and surgery. RESULTS: The point prevalence across all settings was 6.9% (27/390), with large variation between settings: ICU 28.6% (4/14), IMC 28.0% (7/25), wards 4.6% (15/326) and ED 4% (1/25). Surgical patients were almost twice as likely to be affected as medical patients (8.9% vs. 4.8%). Patients with delirium differed most clearly from those without by having a larger number of ICD-10 F-diagnoses, a larger number of medications and higher age, which are known risk factors. Moreover, those with delirium had more missed diagnoses, increased mortality, more adverse events and higher costs. CONCLUSIONS: A significant number of patients experienced delirium and adverse clinical outcomes. Missed delirium diagnoses may further jeopardise patient safety and result in lost revenue. It remains unclear to what extent the risk factors and effects of delirium are causal and what determinants underlie missed diagnoses. RELEVANCE TO CLINICAL PRACTICE: Consistent identification of high-risk patients and treatment settings with elevated risk, accompanied by the implementation of effective preventive and management strategies, is critical to addressing delirium.

Mapping advanced practice nurses' scope of practice, satisfaction, and drivers of role performance.

Background: Advanced Practice Nurse (APN) roles in Switzerland include Clinical Nurse Specialist (CNS), Nurse Practitioner (NP) and blended roles. The variety contributes to unclear profiles and scope of practice. Aim: To describe a) the performance of APN tasks according to Hamric's competencies, b) job satisfaction, and c) barriers and facilitators to role performance. Methods: Nationwide cross-sectional survey among clinically working APNs. Inclusion criteria: academic degree, role with advanced nursing competency. Analysis of quantitative and qualitative data using inferential statistics and content analysis. Results: Of the 222 APNs, 49% (n = 108) described themselves as CNSs, 37% (n = 81) as working in a blended role, and 15% (n = 33) as NP. APNs provided the greatest proportion of their tasks in the competency direct clinical practice and the least in ethical decision-making. Group comparisons between roles revealed significant differences in the competencies: direct clinical practice, guidance and coaching, leadership, and evidence-based practice. Job satisfaction was high (76%, n = 165), most often described by the category work content/role (e.g., defined scope of practice). The most frequent barrier to role performance was the category scope of practice (e.g., unclear responsibilities); the most frequent facilitator was the category professional recognition (e.g., respect). Conclusion: The study highlights current APN scope of practice and can support the advancement of the role through clinical practice, educational institutions, and research.

Participatory development and implementation of a dementia care pathway with intervention bundles in acute care during the coronavirus pandemic: A process evaluation study.

AIMS: To explore the implementation of a dementia care pathway in an acute care setting. BACKGROUND: Dementia care in acute settings is often constrained by contextual factors. We developed an evidence-based care pathway with intervention bundles, and implemented it on two trauma units, with the aim to empower staff and improve quality care. DESIGN: Process evaluation using quantitative and qualitative methods. METHODS: Pre-implementation, unit staff completed a survey (n = 72) assessing family and dementia care skills and level of evidence-based dementia care. Post-implementation, champions (n = 7) completed the same survey, with additional questions on acceptability, appropriateness and feasibility, and participated in a focus group interview. Data were analysed using descriptive statistics and content analysis guided by the Consolidated Framework for Implementation Research (CFIR). REPORTING GUIDELINE: Standards for Reporting Qualitative Research Checklist. RESULTS: Pre-implementation, staff's perceived skills in family and dementia care were moderate overall, with high skills in 'building relationships' and 'sustaining personhood'. Evidence-based interventions were delivered seldom to frequent, with 'individualized care' scoring lowest and 'assessing cognition' scoring highest. Implementation of the care pathway/intervention bundles was overshadowed by the pandemic, and failed due to major organisational- and process-related barriers. Acceptability scored highest and feasibility lowest, with concerns relating to complexity and compatibility of pathways/bundles when introduced into clinical routines. CONCLUSIONS: Our study implies that organisational and process factors are the most influential determinants to the implementation of dementia care in acute settings. Future implementation efforts should draw on the evolving evidence within implementation science and dementia care research to ensure effective integration and improvement process. RELEVANCE TO CLINICAL PRACTICE: Our study provides important learning around improving care for persons with dementia and their families in hospitals. PATIENT OR PUBLIC CONTRIBUTION: A family caregiver was involved in the development of the education and training programme.

Validation of the newly developed Advanced Practice Nurse Task Questionnaire: A national survey.

AIM: To describe psychometric validation of the newly developed Advanced Practice Nurse Task Questionnaire. DESIGN: Cross-sectional quantitative study. METHODS: The development of the questionnaire followed an adapted version of the seven steps described in the guide by the Association for Medical Education in Europe. A nationwide online survey tested the construct and structural validity and internal consistency using an exploratory factor analysis, Cronbach's alpha coefficient and a Kruskal-Wallis test to compare the hypotheses. RESULTS: We received 222 questionnaires between January and September 2020. The factor analysis produced a seven-factor solution as suggested in Hamric's model. However, not all item loadings aligned with the framework's competencies. Cronbach's alpha of factors ranged between .795 and .879. The analysis confirmed the construct validity of the Advanced Practice Nurse Task Questionnaire. The tool was able to discriminate the competencies of guidance and coaching, direct clinical practice and leadership across the three advanced practice nurse roles clinical nurse specialist, nurse practitioner or blended role. CONCLUSION: A precise assessment of advanced practice nurse tasks is crucial in clinical practice and in research as it may be a basis for further refinement, implementation and evaluation of roles. IMPACT: The Advanced Practice Nurse Task Questionnaire is the first valid tool to assess tasks according to Hamric's model of competencies independently of the role or the setting. Additionally, it distinguishes the most common advanced practice nurse roles according to the degree of tasks in direct clinical practice and leadership. The tool may be applied in various countries, independent of the degree of implementation and understanding of advanced nursing practice. REPORTING METHOD: The STARD 2015 guideline was used to report the study. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Nurse-patient interaction during the Covid-19 pandemic: Creating and maintaining an interactive space for care.

AIMS: To explore nurse-patient interactions during the Covid-19 pandemic from both nurses' and patients' perspectives. DESIGN: Qualitative study using constructive grounded theory. METHODS: A total of 34 patients and 49 nurses from acute and home care settings participated in individual or focus group interviews between December 2020 and May 2021. Data were analysed by a team of researchers using coding, memo-writing, theoretical sampling and constant comparison and integration. RESULTS: We identified the creation and maintenance of an interactive space as the main social process. This interactive space was shaped by the care context and the course of the pandemic. For nurses, four factors were key, namely protecting oneself and others, navigating communication barriers, adapting nursing actions to the evolving situation, and providing emotional care work. Patients experienced attentive caring relationships with nurses and felt that, for the most part, their individual needs had been met despite the pandemic challenges. CONCLUSION: Nurses and patients created an interactive space in which they were able to provide and receive the necessary care. Maintaining the interactive space was often challenging, and required an intentional effort by nurses, particularly in acute care settings. The findings illustrate that nurses ensured the provision of necessary care even during a public health crisis, thereby enabling patient access to good quality care. IMPACT: Nurse-patient relationships are important for effective, person-centred care delivery. Despite the pandemic challenges, nurses managed to uphold their caring imperative and ensure quality care. Findings provide further insights on the importance of nurse-patient interaction in maintaining quality care. They inform models of nursing care delivery and strategies to support quality care during public health crises.

Effects of tall man lettering on the visual behaviour of critical care nurses while identifying syringe drug labels: a randomised in situ simulation.

BACKGROUND: Patients in intensive care units are prone to the occurrence of medication errors. Look-alike, sound-alike drugs with similar drug names can lead to medication errors and therefore endanger patient safety. Capitalisation of distinct text parts in drug names might facilitate differentiation of medication labels. The aim of this study was to test whether the use of such 'tall man' lettering (TML) reduces the error rate and to examine effects on the visual attention of critical care nurses while identifying syringe labels. METHODS: This was a prospective, randomised in situ simulation conducted at the University Hospital Zurich, Zurich, Switzerland. Under observation by eye tracking, 30 nurses were given 10 successive tasks involving the presentation of a drug name and its selection from a dedicated set of 10 labelled syringes that included look-alike and sound-alike drug names, half of which had TML-coded labels.Error rate as well as dwell time, fixation count, fixation duration and revisits were analysed using a linear mixed-effects model analysis to compare TML-coded with non-TML-coded labels. RESULTS: TML coding of syringe labels led to a significant decrease in the error rate (from 5.3% (8 of 150 in non-TML-coded sets) to 0.7% (1 of 150 in TML-coded sets), p<0.05). Eye tracking further showed that TML affects visual attention, resulting in longer dwell time (p<0.01), more and longer fixations (p<0.05 and p<0.01, respectively) on the drug name as well as more frequent revisits (p<0.01) compared with non-TML-coded labels. Detailed analysis revealed that these effects were stronger for labels using TML in the mid-to-end position of the drug name. CONCLUSIONS: TML in drug names changes visual attention while identifying syringe labels and supports critical care nurses in preventing medication errors.

Delirium screening in an acute care setting with a machine learning classifier based on routinely collected nursing data: A model development study.

Delirium screening in acute care settings is a resource intensive process with frequent deviations from screening protocols. A predictive model relying only on daily collected nursing data for delirium screening could expand the populations covered by such screening programs. Here, we present the results of the development and validation of a series of machine-learning based delirium prediction models. For this purpose, we used data of all patients 18 years or older which were hospitalized for more than a day between January 1, 2014, and December 31, 2018, at a single tertiary teaching hospital in Zurich, Switzerland. A total of 48,840 patients met inclusion criteria. 18,873 (38.6%) were excluded due to missing data. Mean age (SD) of the included 29,967 patients was 71.1 (12.2) years and 12,231 (40.8%) were women. Delirium was assessed with the Delirium Observation Scale (DOS) with a total score of 3 or greater indicating that a patient is at risk for delirium. Additional measures included structured data collected for nursing process planning and demographic characteristics. The performance of the machine learning models was assessed using the area under the receiver operating characteristic curve (AUC). The training set consisted of 21,147 patients (mean age 71.1 (12.1) years; 8,630 (40.8%) women|) including 233,024 observations with 16,167 (6.9%) positive DOS screens. The test set comprised 8,820 patients (median age 71.1 (12.4) years; 3,601 (40.8%) women) with 91,026 observations with 5,445 (6.0%) positive DOS screens. Overall, the gradient boosting machine model performed best with an AUC of 0.933 (95% CI, 0.929 - 0.936). In conclusion, machine learning models based only on structured nursing data can reliably predict patients at risk for delirium in an acute care setting. Prediction models, using existing data collection processes, could reduce the resources required for delirium screening procedures in clinical practice.

First Testing of Literature-Based Models for Predicting Increase in Body Weight and Adipose Tissue Mass After Kidney Transplantation.

Introduction: Weight gain is a risk factor for poor clinical outcomes following kidney transplantation. Research Question: This study's aim was a first testing of 2 models to identify patients early after kidney transplantation who are at risk for weight gain and increase in adipose tissue mass in the first year after kidney transplantation. Design: The literature-based models were evaluated on longitudinal data of 88, respectively 79 kidney transplant recipients via ordinary and Firth regression, using gains ≥ 5% in weight and adipose tissue mass respectively as primary and secondary endpoints. Results: The models included physical activity, smoking cessation at time of kidney transplantation, self-reported health status, depressive symptomatology, gender, age, education, baseline body mass index and baseline trunk fat as predictors. Area under the curve was 0.797 (95%-CI 0.702 to 0.893) for the weight model and 0.767 (95%-CI 0.656 to 0.878) for the adipose tissue mass model-showing good, respectively fair discriminative ability. For weight gain ≥ 5%, main risk factors were smoking cessation at time of transplantation (OR 16.425, 95%-CI 1.737-155.288) and better self-reported baseline health state (OR 1.068 for each 1-unit increase, 95%-CI 1.012-1.128). For the adipose tissue mass gain ≥ 5%, main risk factor was overweight/obesity (BMI ≥ 25) at baseline (odds ratio 7.659, 95%-CI 1.789-32.789). Conclusions: The models have potential to assess patients' risk for weight or adipose tissue mass gain during the year after transplantation, but further testing is needed before implementation in clinical practice.

Development of health care workers' mental health during the SARS-CoV-2 pandemic in Switzerland: two cross-sectional studies.

BACKGROUND: Virus outbreaks such as the current SARS-CoV-2 pandemic are challenging for health care workers (HCWs), affecting their workload and their mental health. Since both, workload and HCW's well-being are related to the quality of care, continuous monitoring of working hours and indicators of mental health in HCWs is of relevance during the current pandemic. The existing investigations, however, have been limited to a single study period. We examined changes in working hours and mental health in Swiss HCWs at the height of the pandemic (T1) and again after its flattening (T2). METHODS: We conducted two cross-sectional online studies among Swiss HCWs assessing working hours, depression, anxiety, and burnout. From each study, 812 demographics-matched participants were included into the analysis. Working hours and mental health were compared between the two samples. RESULTS: Compared to prior to the pandemic, the share of participants working less hours was the same in both samples, whereas the share of those working more hours was lower in the T2 sample. The level of depression did not differ between the samples. In the T2 sample, participants reported more anxiety, however, this difference was below the minimal clinically important difference. Levels of burnout were slightly higher in the T2 sample. CONCLUSIONS: Two weeks after the health care system started to transition back to normal operations, HCWs' working hours still differed from their regular hours in non-pandemic times. Overall anxiety and depression among HCWs did not change substantially over the course of the current SARS-CoV-2 pandemic.

Secondary attack rates from asymptomatic and symptomatic influenza virus shedders in hospitals: Results from the TransFLUas influenza transmission study.

OBJECTIVE: Nosocomial transmission of influenza is a major concern for infection control. We aimed to dissect transmission dynamics of influenza, including asymptomatic transmission events, in acute care. DESIGN: Prospective surveillance study during 2 influenza seasons. SETTING: Tertiary-care hospital. PARTICIPANTS: Volunteer sample of inpatients on medical wards and healthcare workers (HCWs). METHODS: Participants provided daily illness diaries and nasal swabs for influenza A and B detection and whole-genome sequencing for phylogenetic analyses. Contacts between study participants were tracked. Secondary influenza attack rates were calculated based on spatial and temporal proximity and phylogenetic evidence for transmission. RESULTS: In total, 152 HCWs and 542 inpatients were included; 16 HCWs (10.5%) and 19 inpatients (3.5%) tested positive for influenza on 109 study days. Study participants had symptoms of disease on most of the days they tested positive for influenza (83.1% and 91.9% for HCWs and inpatients, respectively). Also, 11(15.5%) of 71 influenza-positive swabs among HCWs and 3 (7.9%) of 38 influenza-positive swabs among inpatients were collected on days without symptoms; 2 (12.5%) of 16 HCWs and 2 (10.5%) of 19 inpatients remained fully asymptomatic. The secondary attack rate was low: we recorded 1 transmission event over 159 contact days (0.6%) that originated from a symptomatic case. No transmission event occurred in 61 monitored days of contacts with asymptomatic influenza-positive individuals. CONCLUSIONS: Influenza in acute care is common, and individuals regularly shed influenza virus without harboring symptoms. Nevertheless, both symptomatic and asymptomatic transmission events proved rare. We suggest that healthcare-associated influenza prevention strategies that are based on preseason vaccination and barrier precautions for symptomatic individuals seem to be effective.

[Differences in epaAC© in heart failure patients with or without readmission: a retrospective case-control study]. / Unterschiede im epaAC© bei Patient_innen mit Herzinsuffizienz mit oder ohne Rehospitalisation.

Differences in epaAC© in heart failure patients with or without readmission: A retrospective case-control study Abstract. Background: Heart failure is one of the most frequent reasons for hospitalization in elderly people. In heart failure, approximately 22.8 % of hospitalised patients are rehospitalised within 30 days. The nursing assessment tool epaAC could provide information on risk factors for readmission. Aim: The aim of this study was to identify possible group differences in the items and scores of the epaAC discharge assessment with regard to the endpoint of unplanned readmissions within 30 days after discharge from index-hospitalisation. Methods: Using a retrospective case-control design, differences in the epaAC variables were investigated by descriptive and comparative statistics. Chi-square test, Wilcoxon test and t-test were performed with two-sided alpha level α < 0.05. Alpha error accumulation was accounted for by Benjamini & Hochberg correction. Results: No significant group differences were found in all items and scores of the discharge epaAC. There is only weak evidence that the presence of acute respiratory impairment at time of discharge is higher in the patient with rehospitalisation than in those without rehospitalisation. Conclusions: The items and scores of the nursing assessment instrument epaAC did not significantly differ between patients with or without 30-days readmission. Further exploration to assess the epaAC's potential to predict rehospitalisation in heart failure is needed.

Predisposing and Precipitating Risk Factors for Delirium in Elderly Patients Admitted to a Cardiology Ward: An Observational Cohort Study in 1,042 Patients.

Aim: Although the risk factors for delirium in general medicine are well-established, their significance in cardiac diseases remains to be determined. Therefore, we evaluated the predisposing and precipitating risk factors in patients hospitalized with acute and chronic heart disease. Methods and Results: In this observational cohort study, 1,042 elderly patients (≥65 years) admitted to cardiology wards, 167 with and 875 without delirium, were included. The relevant sociodemographic and cardiac- and medical-related clusters were assessed by simple and multiple regression analyses and prediction models evaluating their association with delirium. The prevalence of delirium was 16.0%. The delirious patients were older (mean 80 vs. 76 years; p < 0.001) and more often institutionalized prior to admission (3.6 vs. 1.4%, p = 0.05), hospitalized twice as long (12 ± 10 days vs. 7 ± 7 days; p < 0.001), and discharged more often to nursing homes (4.8 vs. 0.6%, p < 0.001) or deceased (OR, 2.99; 95% CI, 1.53-5.85; p = 0.003). The most relevant risk factor was dementia (OR, 18.11; 95% CI, 5.77-56.83; p < 0.001), followed by history of stroke (OR, 6.61; 95% CI 1.35-32.44; p = 0.020), and pressure ulcers (OR, 3.62; 95% CI, 1.06-12.35; p = 0.040). The predicted probability for developing delirium was highest in patients with reduced mobility and institutionalization prior to admission (PP = 31.2%, p = 0.001). Of the cardiac diseases, only valvular heart disease (OR, 1.57; 95% CI, 1.01-2.44; p = 0.044) significantly predicted delirium. The patients undergoing cardiac interventions did not have higher rates of delirium (OR, 1.39; 95% CI 0.91-2.12; p = 0.124). Conclusion: In patients admitted to a cardiology ward, age-related functional and cognitive impairment, history of stroke, and pressure ulcers were the most relevant risk factors for delirium. With regards to specific cardiological factors, only valvular heart disease was associated with risk for delirium. Knowing these factors can help cardiologists to facilitate the early detection and management of delirium.

Burnout, depression and anxiety among Swiss medical students - A network analysis.

It is well established that burnout in medical students is associated with depression and anxiety at a syndromal level. Moreover, there is an ongoing debate about the extent to which burnout overlaps with depression and anxiety. The emerging network approach to psychopathology offers a new perspective on the interrelations between mental disorders focusing on symptom-level association. In this cross-sectional study, we exploratively investigated the associations among burnout, depression, and anxiety in 574 swiss medical students using a network analytic approach for the first time. Symptoms of depression and anxiety were assessed with the Patient Health Questionnaire and Generalized Anxiety Disorder respectively. Burnout was assessed with two single-item questions, one referring to emotional exhaustion and the other to depersonalization. We found a dense network in which at least one dimension of burnout was related to eleven of the sixteen included symptoms. This suggests that burnout is closely related to depression and anxiety but also has its own characteristics. Notably, suicidal ideation was not associated with either emotional exhaustion or depersonalization after adjusting for the influence of the remaining symptoms of anxiety and depression. Hence, the well-documented relationship between burnout and suicidal ideation in medical students may be entirely mediated by the experience of anxiety and depression. Hence, the well-documented relationship between burnout and suicidal ideation in medical students might be fully mediated by the experience of anxiety and depression. The collection of the sample after the first wave of infections during the SARS-CoV2 pandemic and the non-representativeness of the investigated sample limit the study's generalizability.

Health Care Workers' Mental Health During the First Weeks of the SARS-CoV-2 Pandemic in Switzerland-A Cross-Sectional Study.

Objective: The current SARS-CoV-2 pandemic poses various challenges for health care workers (HCWs). This may affect their mental health, which is crucial to maintain high quality medical care during a pandemic. Existing evidence suggests that HCWs, especially women, nurses, frontline staff, and those exposed to COVID-19 patients, are at risk for anxiety and depression. However, a comprehensive overview of risk and protective factors considering their mutual influence is lacking. Therefore, this study aimed at exploring HCWs' mental health during the SARS-CoV-2 pandemic in Switzerland, investigating the independent effect of various demographic, work- and COVID-related factors on HCWs' mental health. Methods: In an exploratory, cross-sectional, nation-wide online survey, we assessed demographics, work characteristics, COVID-19 exposure, and anxiety, depression, and burnout in 1,406 HCWs during the beginning of the SARS-CoV-2 pandemic in Switzerland. Network analysis was used to investigate the associations among the included variables. Results: Women (compared to men), nurses (compared to physicians), frontline staff (compared to non-frontline workers), and HCWs exposed to COVID-19 patients (compared to non-exposed) reported more symptoms than their peers. However, these effects were all small. Perceived support by the employer independently predicted anxiety and burnout after adjustment for other risk factors. Conclusion: Our finding that some HCWs had elevated levels of anxiety, depression, and burnout underscores the importance to systematically monitor HCWs' mental health during this ongoing pandemic. Because perceived support and mental health impairments were negatively related, we encourage the implementation of supportive measures for HCWs' well-being during this crisis.

Impact of a nurse-led family support intervention on family members' satisfaction with intensive care and psychological wellbeing: A mixed-methods evaluation.

BACKGROUND: Families of critically ill persons face uncertainty and experience distress during and after their close other's stay in an intensive care unit (ICU). Proactive nurse engagement and support is recommended to meet families' needs in the ICU, but little is known about its impact on quality of family care. We introduced a family support intervention that consisted of an interprofessional family support pathway and a new role of an advanced practice family nurse. OBJECTIVES: The aim of the study was to examine the effect of an advanced practice nurse-led family support intervention on family members' satisfaction, wellbeing, and psychological distress. METHODS: We conducted a quasi-experimental before-and-after study with embedded qualitative interviews in a Swiss University Hospital from March 2018 to July 2019 using a questionnaire (Family Satisfaction in the ICU-24 Survey, Hospital Anxiety and Depression Scale, and Impact of Event Scale-Revised-6) and qualitative interviews (n = 19) after patient discharge. RESULTS: Families in the intervention group (n = 75) showed a trend for increased overall satisfaction (difference of 5.544, 95% confidence interval [CI]: -0.11 to 11.20), a statistically significant increase in satisfaction with decision-making (7.258, 95% CI: 0.89 to 13.63), and a nonsignificant increase in satisfaction with care (4.178, 95% CI: -1.53 to 9.89). Psychological distress was higher in the intervention group, with depression reaching statistical significance (difference of 1.706, 95% CI: 0.16 to 3.25), which may be explained by longer ICU stays and higher proportion of deaths in the intervention group. Families receiving the intervention reported to be feeling cared for, well informed, and better able to cope. Data integration suggests that early onset, fit to need, and quality of intervention were the most important intervention characteristics impacting family wellbeing. CONCLUSIONS: Our study found that family members experience a nurse-led support intervention as beneficial for their wellbeing. It increased their satisfaction, but was unable to demonstrate a favourable impact on psychological distress.

Patient Satisfaction With the Quality of Counseling Provided by Advanced Practice Nurses Specialized in Multiple Sclerosis: A Quantitative Analysis.

ABSTRACT: BACKGROUND: The challenges in dealing with multiple sclerosis (MS) have increased considerably in recent years. In addition to neurologists, MS nurse specialists are key to the management of MS patients, but there is a lack of evidence regarding their quality of counseling. METHODS: The data collection took place between October 2018 and March 2019 in the outpatient clinic of a university hospital. The quality of counseling was assessed using the APN-BQ, an instrument that contains 19 items that can be assigned to 4 dimensions. Participants were asked to rate their satisfaction on a scale from 0 to 3. General satisfaction was assessed on a scale from 0 to 100. RESULTS: The participants (n = 110) rated the quality of counseling and their general satisfaction high. The mean (SD) of the structure quality dimension was 2.64 (0.44), and satisfaction with length and frequency of consultations (2.53 [0.63]) scored better than outcome quality (1.99 [0.62]) and process quality (2.13 [0.60]). CONCLUSION: Overall, there was a high rate of satisfaction with the quality of counseling. In addition to the length and frequency of consultations, MS patients particularly appreciated the availability and expertise of MS nurse specialists.

The prevalence rates and adversities of delirium: Too common and disadvantageous.

OBJECTIVE: The prevalence rates and adversities of delirium have not yet been systematically evaluated and are based on selected populations, limited sample sizes, and pooled studies. Therefore, this study assesses the prevalence rates and outcome of and odds ratios for managing services for delirium. METHODS: In this prospective cohort study, based on the Diagnostic and Statistical Manual (DSM) 5, the Delirium Observation Screening (DOS) scale, and the Intensive Care Delirium Screening Checklist (ICDSC) construct, 28,118 patients from 35 managing services were included, and the prevalence rates and adverse outcomes were determined by simple logistic regressions and their corresponding odds ratios (ORs). RESULTS: Delirious patients were older, admitted from institutions (OR 3.44-5.2), admitted as emergencies (OR 1.87), hospitalized twice longer, and discharged, transferred to institutions (OR 5.47-6.6) rather than home (OR 0.1), or deceased (OR 43.88). The rate of undiagnosed delirium was 84.2%. The highest prevalence rates were recorded in the intensive care units (47.1-84.2%, pooled 67.9%); in the majority of medical services, rates ranged from 20% to 40% (pooled 26.2%), except, at both ends, palliative care (55.9%), endocrinology (8%), and rheumatology (4.4%). Conversely, in surgery and its related services, prevalence rates were lower (pooled 13.1%), except for cardio- and neurosurgical services (53.3% and 46.4%); the lowest prevalence rate was recorded in obstetrics (2%). SIGNIFICANCE OF RESULTS: Delirium remains underdiagnosed, and novel screening approaches are required. Furthermore, this study identified the impact of delirium on patients, determined the prevalence rates for 32 services, and elucidated the association between individual services and delirium.

Self-Care Index and Post-Acute Care Discharge Score to Predict Discharge Destination of Adult Medical Inpatients: Protocol for a Multicenter Validation Study.

BACKGROUND: Delays in patient discharge can not only lead to deterioration, especially among geriatric patients, but also incorporate unnecessary resources at the hospital level. Many of these delays and their negative impact may be preventable by early focused screening to identify patients at risk for transfer to a post-acute care facility. Early interprofessional discharge planning is crucial in order to fit the appropriate individual discharge destination. While prediction of discharge to a post-acute care facility using post-acute care discharge score, the self-care index, and a combination of both has been shown in a single-center pilot study, an external validation is still missing. OBJECTIVE: This paper outlines the study protocol and methodology currently being used to replicate the previous pilot findings and determine whether the post-acute care discharge score, the self-care index, or the combination of both can reliably identify patients requiring transfer to post-acute care facilities. METHODS: This study will use prospective data involving all phases of the quasi-experimental study "In-HospiTOOL" conducted at 7 Swiss hospitals in urban and rural areas. During an 18-month period, consecutive adult medical patients admitted to the hospitals through the emergency department will be included. We aim to include 6000 patients based on sample size calculation. These data will enable a prospective external validation of the prediction instruments. RESULTS: We expect to gain more insight into the predictive capability of the above-mentioned prediction instruments. This approach will allow us to get important information about the generalizability of the three different models. The study was approved by the institutional review board on November 21, 2016, and funded in May 2020. Expected results are planned to be published in spring 2021. CONCLUSIONS: This study will provide evidence on prognostic properties, comparative performance, reliability of scoring, and suitability of the instruments for the screening purpose in order to be able to recommend application in clinical practice. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21447.

Absenteeism and presenteeism in healthcare workers due to respiratory illness.

OBJECTIVE: To assess influenza symptoms, adherence to mask use recommendations, absenteesm and presenteeism in acute care healthcare workers (HCWs) during influenza epidemics. METHODS: The TransFLUas influenza transmission study in acute healthcare prospectively followed HCWs prospectively over 2 consecutive influenza seasons. Symptom diaries asking for respiratory symptoms and adherence with mask use recommendations were recorded on a daily basis, and study participants provided midturbinate nasal swabs for influenza testing. RESULTS: In total, 152 HCWs (65.8% nurses and 13.2% physicians) were included: 89.1% of study participants reported at least 1 influenza symptom during their study season and 77.8% suffered from respiratory symptoms. Also, 28.3% of HCW missed at least 1 working day during the study period: 82.6% of these days were missed because of symptoms of influenza illness. Of all participating HCWs, 67.9% worked with symptoms of influenza infection on 8.8% of study days. On 0.3% of study days, symptomatic HCWs were shedding influenza virus while at work. Among HCWs with respiratory symptoms, 74.1% adhered to the policy to wear a mask at work on 59.1% of days with respiratory symptoms. CONCLUSIONS: Respiratory disease is frequent among HCWs and imposes a significant economic burden on hospitals due to the number of working days lost. Presenteesm with respiratory illness, including influenza, is also frequent and poses a risk for patients and staff. TRIAL REGISTRATION: NCT02478905 (clinicaltrials.gov).

Family and health professional experience with a nurse-led family support intervention in ICU: A qualitative evaluation study.

OBJECTIVES: To investigate family and health professional experience with a nurse-led family support intervention in intensive care. DESIGN: Qualitative evaluation study. SETTING: A twelve-bed surgical intensive care unit in a 900-bed University Hospital in Switzerland. MAIN OUTCOME MEASURES: Data were collected through 16 semi-structured interviews with families (n = 19 family members) and three focus group interviews with critical care staff (n = 19) and analysed using content analysis strategies. FINDINGS: Four themes related to the new family support intervention were identified. First, families and staff described it as a valuable and essential part of ICU care. Second, it facilitated staff-family interaction and communication. Third, from staff perspective, it promoted the quality of family care. Fourth, staff believed that the family support intervention enabled them to better care for families through increased capacity for developing and sustaining relationships with families. CONCLUSIONS: An advanced practice family nursing role coupled with a family support pathway is an acceptable, appreciated and beneficial model of care delivery in the inttensive care unit from the perspective of families and critical care staff. Further research is needed to investigate the intervention's effectiveness in the intensive care unit.