Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU: 2023.

RATIONALE: Clinical deterioration of patients hospitalized outside the ICU is a source of potentially reversible morbidity and mortality. To address this, some acute care hospitals have implemented systems aimed at detecting and responding to such patients. OBJECTIVES: To provide evidence-based recommendations for hospital clinicians and administrators to optimize recognition and response to clinical deterioration in non-ICU patients. PANEL DESIGN: The 25-member panel included representatives from medicine, nursing, respiratory therapy, pharmacy, patient/family partners, and clinician-methodologists with expertise in developing evidence-based Clinical Practice Guidelines. METHODS: We generated actionable questions using the Population, Intervention, Control, and Outcomes (PICO) format and performed a systematic review of the literature to identify and synthesize the best available evidence. We used the Grading of Recommendations Assessment, Development, and Evaluation Approach to determine certainty in the evidence and to formulate recommendations and good practice statements (GPSs). RESULTS: The panel issued 10 statements on recognizing and responding to non-ICU patients with critical illness. Healthcare personnel and institutions should ensure that all vital sign acquisition is timely and accurate (GPS). We make no recommendation on the use of continuous vital sign monitoring among unselected patients. We suggest focused education for bedside clinicians in signs of clinical deterioration, and we also suggest that patient/family/care partners' concerns be included in decisions to obtain additional opinions and help (both conditional recommendations). We recommend hospital-wide deployment of a rapid response team or medical emergency team (RRT/MET) with explicit activation criteria (strong recommendation). We make no recommendation about RRT/MET professional composition or inclusion of palliative care members on the responding team but suggest that the skill set of responders should include eliciting patients' goals of care (conditional recommendation). Finally, quality improvement processes should be part of a rapid response system. CONCLUSIONS: The panel provided guidance to inform clinicians and administrators on effective processes to improve the care of patients at-risk for developing critical illness outside the ICU.

Executive Summary: Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU.

RATIONALE: Clinical deterioration of patients hospitalized outside the ICU is a source of potentially reversible morbidity and mortality. To address this, some acute care facilities have implemented systems aimed at detecting and responding to such patients. OBJECTIVES: To provide evidence-based recommendations for hospital clinicians and administrators to optimize recognition and response to clinical deterioration in non-ICU patients. PANEL DESIGN: The 25-member panel included representatives from medicine, nursing, respiratory therapy, pharmacy, patient/family partners, and clinician-methodologists with expertise in developing evidence-based clinical practice guidelines. METHODS: We generated actionable questions using the Population, Intervention, Control, and Outcomes format and performed a systematic review of the literature to identify and synthesize the best available evidence. We used the Grading of Recommendations Assessment, Development, and Evaluation approach to determine certainty in the evidence and to formulate recommendations and good practice statements (GPSs). RESULTS: The panel issued 10 statements on recognizing and responding to non-ICU patients with critical illness. Healthcare personnel and institutions should ensure that all vital sign acquisition is timely and accurate (GPS). We make no recommendation on the use of continuous vital sign monitoring among "unselected" patients due to the absence of data regarding the benefit and the potential harms of false positive alarms, the risk of alarm fatigue, and cost. We suggest focused education for bedside clinicians in signs of clinical deterioration, and we also suggest that patient/family/care partners' concerns be included in decisions to obtain additional opinions and help (both conditional recommendations). We recommend hospital-wide deployment of a rapid response team or medical emergency team (RRT/MET) with explicit activation criteria (strong recommendation). We make no recommendation about RRT/MET professional composition or inclusion of palliative care members on the responding team but suggest that the skill set of responders should include eliciting patients' goals of care (conditional recommendation). Finally, quality improvement processes should be part of a rapid response system (GPS). CONCLUSIONS: The panel provided guidance to inform clinicians and administrators on effective processes to improve the care of patients at-risk for developing critical illness outside the ICU.

Exploring the Association of Metabolic Syndrome with In-Hospital Survival of Older Patients Hospitalized with COVID-19: Beyond Chronological Age.

BACKGROUND: Despite the variability and complexity of geriatric conditions, few COVID-19 reports of clinical characteristic prognostication provide data specific to oldest-old adults (over age 85), and instead generally report broadly as 65 and older. OBJECTIVE: To examine metabolic syndrome criteria in adults across 25 hospitals with variation in chronological age. DESIGN AND PARTICIPANTS: This cohort study examined 39,564 hospitalizations of patients aged 18 or older with COVID-19 who received inpatient care between March 13, 2020, and February 28, 2022. EXPOSURE: ICU admission and/or in-hospital mortality. MAIN MEASURES: Metabolic syndrome criteria and patient demographics were examined as risk factors. The main outcomes were admission to ICU and hospital mortality. KEY RESULTS: Oldest old patients (≥ 85 years) hospitalized with COVID-19 accounted for 7.0% (2758/39,564) of all adult hospitalizations. They had shorter ICU length of stay, similar overall hospitalization duration, and higher rates of discharge destinations providing healthcare services (i.e., home health, skilled nursing facility) compared to independent care. Chronic conditions varied by age group, with lower proportions of diabetes and uncontrolled diabetes in the oldest-old cohort compared with young-old (65-74 years) and middle-old (75-84 years) groups. Evaluations of the effect of metabolic syndrome and patient demographics (i.e., age, sex, race) on ICU admission demonstrate minimal change in the magnitude of effect for metabolic syndrome on ICU admission across the different models. CONCLUSIONS: Metabolic syndrome measures are important individual predictors of COVID-19 outcomes. Building on prior examinations that metabolic syndrome is associated with death and ARDS across all ages, this analysis supports that metabolic syndrome criteria may be more relevant than chronological age as risk factors for poor outcomes attributed to COVID-19.

A systematic review of the facilitators and barriers to rapid response team activation.

BACKGROUND: Outcomes associated with rapid response teams (RRTs) are inconsistent. This may be due to underlying facilitators and barriers to RRT activation that are affected by team leaders and health systems. AIMS: The aim of this study was to synthesize the published research about facilitators and barriers to nurse-led RRT activation in the United States (U.S.). METHODS: A systematic review was conducted. Four databases were searched from January 2000 to June 2023 for peer-reviewed quantitative, qualitative, and mixed methods studies reporting facilitators and barriers to RRT activation. Studies conducted outside the U.S. or with physician-led teams were excluded. RESULTS: Twenty-five studies met criteria representing 240,140 participants that included clinicians and hospitalized adults. Three domains of facilitators and barriers to RRT activation were identified: (1) hospital infrastructure, (2) clinician culture, and (3) nurses' beliefs, attributes, and knowledge. Categories were identified within each domain. The categories of perceived benefits and positive beliefs about RRTs, knowing when to activate the RRT, and hospital-wide policies and practices most facilitated activation, whereas the categories of negative perceptions and concerns about RRTs and uncertainties surrounding RRT activation were the dominant barriers. LINKING EVIDENCE TO ACTION: Facilitators and barriers to RRT activation were interrelated. Some facilitators like hospital leader and physician support of RRTs became barriers when absent. Intradisciplinary communication and collaboration between nurses can positively and negatively impact RRT activation. The expertise of RRT nurses should be further studied.

Symptom Clusters Seen in Adult COVID-19 Recovery Clinic Care Seekers.

BACKGROUND: COVID-19 symptom reports describe varying levels of disease severity with differing periods of recovery and symptom trajectories. Thus, there are a multitude of disease and symptom characteristics clinicians must navigate and interpret to guide care. OBJECTIVE: To find natural groups of patients with similar constellations of post-acute sequelae of COVID-19 (PASC) symptoms. DESIGN: Cohort SETTING: Outpatient COVID-19 recovery clinic with patient referrals from 160 primary care clinics serving 36 counties in Texas. PATIENTS: Adult patients seeking COVID-19 recovery clinic care between November 15, 2020, and July 31, 2021, with laboratory-confirmed mild (not hospitalized), moderate (hospitalized), or severe (hospitalized with critical care) COVID-19. MAIN MEASURES: Demographics, COVID illness onset, and duration of persistent PASC symptoms via semi-structured medical assessments. KEY RESULTS: Four hundred forty-one patients (mean age 51.5 years; 295 [66.9%] women; 99 [22%] Hispanic, and 170 [38.5%] non-White, racial minority) met inclusion criteria. Using a k-medoids algorithm, we found that PASC symptoms cluster into two distinct groups: neuropsychiatric (N = 186) (e.g., subjective cognitive dysfunction) and pulmonary (N = 255) (e.g., dyspnea, cough). The neuropsychiatric cluster had significantly higher incidences of otolaryngologic (X2 = 14.3, p < 0.001), gastrointestinal (X2 = 6.90, p = 0.009), neurologic (X2 = 441, p < 0.001), and psychiatric sequelae (X2 = 40.6, p < 0.001) with more female (X2 = 5.44, p = 0.020) and younger age (t = 2.39, p = 0.017) patients experiencing longer durations of PASC symptoms before seeking care (t = 2.44, p = 0.015). Patients in the pulmonary cluster were more often hospitalized for COVID-19 (X2 = 3.98, p = 0.046) and had significantly higher comorbidity burden (U = 20800, p = 0.019) and pulmonary sequelae (X2 = 13.2, p < 0.001). CONCLUSIONS: Health services clinic data from a large integrated health system offers insights into the post-COVID symptoms associated with care seeking for sequelae that are not adequately managed by usual care pathways (self-management and primary care clinic visits). These findings can inform machine learning algorithms, primary care management, and selection of patients for earlier COVID-19 recovery referral. TRIAL REGISTRATION: N/A.

Factors Influencing Engagement with in-Person Intensive Care Unit Recovery Clinic Services.

Background: Intensive Care Unit recovery clinics (ICU-RC), are multidisciplinary outpatient clinics designed to identify and treat post-intensive care syndrome impairments unique to each survivor of critical illness. Engagement is limited, thus we aimed to describe patient- and hospitalization-related sociodemographic factors associated with scheduling and attending in-person ICU-RC visits. Design: Consecutive case series of prospectively collected ICU-RC referral data. Setting: Data was collected over a 9-year period (2012-2020) for patients referred to an ICU-RC from ICUs at an academic medical center in the southeast United States. Participants: 251 adults admitted to a medical, surgical, burn, or trauma ICU referred to the ICU-RC and eligible to be scheduled for a visit. Main Outcome and Measures: The main study outcome was scheduling and completing an ICU-RC visit. Independent variables included patient demographics, ICU visit characteristics (eg, diagnosis, ventilator days), severity of illness, discharge disposition, ICU-RC referral criteria (eg, shock, delirium), and clinic scheduling administrative data (eg, referral date, clinic visit date). Results: Of 251 ICU-RC referrals eligible for a visit, 128 were scheduled, and 91 completed a visit. In univariate models older age, unspecified shock, and distance from the clinic location were associated with decreased in-person ICU-RC engagement. In a multivariable logistic regression using the same predictors and interactions, older age, unspecified shock, and home-to-clinic distance remained as factors decreasing the likelihood of ICU-RC engagement. There was a decreasing likelihood of scheduling and attending an ICU-RC visit for every additional mile of distance the patient lived from the ICU-RC. Male sex was a strong predictor of completing an ICU-RC visit. Conclusions: Older ICU survivors and those who live farther from the clinic site are less likely to engage in an in-person ICU-RC. Innovation and telemedicine strategies are needed to improve access to ICU recovery care for these populations.

Evidence-Based Practice Knowledge Retention Among Nurse Practitioner Students.

ABSTRACT: The mastery of clinical scholarship and analytic methods for evidence-based practice (EBP) is a published essential for nurse practitioner (NP) education; however, retention of EBP-related knowledge during NP education remains unknown. We assessed EBP knowledge during a first-semester research course and again during the last semester using an item response model. We found that changes depended on the exam item, with performance dropping on a third of the items. Our findings suggest a need to integrate EBP concepts across curricula (e.g., feedback loops in courses other than the research course) to retain these essential skills.

Medication Discussions With Patients With Cardiovascular Disease in the Emergency Department: An Opportunity for Emergency Nurses to Engage Patients to Support Medication Reconciliation.

INTRODUCTION: This study aimed to investigate the level of patient involvement in medication reconciliation processes and factors associated with that involvement in patients with cardiovascular disease presenting to the emergency department. METHODS: An observational and cross-sectional design was used. Patients with cardiovascular disease presenting to the adult emergency department of an academic medical center completed a structured survey inclusive of patient demographics and measures related to the study concepts. Data abstracted from the electronic health record included the patient's medical history and emergency department visit data. Our multivariable model adjusted for age, gender, education, difficulty paying bills, health status, numeracy, health literacy, and medication knowledge and evaluated patient involvement in medication discussions as an outcome. RESULTS: Participants' (N = 93) median age was 59 years (interquartile range 51-67), 80.6% were white, 96.8% were not Hispanic, and 49.5% were married or living with a partner. Approximately 41% reported being employed and 36.9% reported an annual household income of <$25,000. Almost half (n = 44, 47.3%) reported difficulty paying monthly bills. Patients reported moderate medication knowledge (median 3.8, interquartile range 3.4-4.2) and perceived involvement in their care (41.8 [SD = 9.1]). After controlling for patient characteristics, only difficulty paying monthly bills (b = 0.36, P = .005) and medication knowledge (b = 0.30, P = .009) were associated with involvement in medication discussions. DISCUSSION: Some patients presenting to the emergency department demonstrated moderate medication knowledge and involvement in medication discussions, but more work is needed to engage patients.

Association of Renin Angiotensin Aldosterone System Inhibitors and Outcomes of Hospitalized Patients With COVID-19.

OBJECTIVES: To determine the association of prior use of renin-angiotensin-aldosterone system inhibitors (RAASIs) with mortality and outcomes in hospitalized patients with COVID-19. DESIGN: Retrospective observational study. SETTING: Multicenter, international COVID-19 registry. SUBJECTS: Adult hospitalized COVID-19 patients on antihypertensive agents (AHAs) prior to admission, admitted from March 31, 2020, to March 10, 2021. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Data were compared between three groups: patients on RAASIs only, other AHAs only, and those on both medications. Multivariable logistic and linear regressions were performed after controlling for prehospitalization characteristics to estimate the effect of RAASIs on mortality and other outcomes during hospitalization. Of 26,652 patients, 7,975 patients were on AHAs prior to hospitalization. Of these, 1,542 patients (19.3%) were on RAASIs only, 3,765 patients (47.2%) were on other AHAs only, and 2,668 (33.5%) patients were on both medications. Compared with those taking other AHAs only, patients on RAASIs only were younger (mean age 63.3 vs 66.9 yr; p < 0.0001), more often male (58.2% vs 52.4%; p = 0.0001) and more often White (55.1% vs 47.2%; p < 0.0001). After adjusting for age, gender, race, location, and comorbidities, patients on combination of RAASIs and other AHAs had higher in-hospital mortality than those on RAASIs only (odds ratio [OR] = 1.28; 95% CI [1.19-1.38]; p < 0.0001) and higher mortality than those on other AHAs only (OR = 1.09; 95% CI [1.03-1.15]; p = 0.0017). Patients on RAASIs only had lower mortality than those on other AHAs only (OR = 0.87; 95% CI [0.81-0.94]; p = 0.0003). Patients on ACEIs only had higher mortality compared with those on ARBs only (OR = 1.37; 95% CI [1.20-1.56]; p < 0.0001). CONCLUSIONS: Among patients hospitalized for COVID-19 who were taking AHAs, prior use of a combination of RAASIs and other AHAs was associated with higher in-hospital mortality than the use of RAASIs alone. When compared with ARBs, ACEIs were associated with significantly higher mortality in hospitalized COVID-19 patients.

Characterization and Outcomes of Hospitalized Children With Coronavirus Disease 2019: A Report From a Multicenter, Viral Infection and Respiratory Illness Universal Study (Coronavirus Disease 2019) Registry.

OBJECTIVES: Multicenter data on the characteristics and outcomes of children hospitalized with coronavirus disease 2019 are limited. Our objective was to describe the characteristics, ICU admissions, and outcomes among children hospitalized with coronavirus disease 2019 using Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study: Coronavirus Disease 2019 registry. DESIGN: Retrospective study. SETTING: Society of Critical Care Medicine Viral Infection and Respiratory Illness Universal Study (Coronavirus Disease 2019) registry. PATIENTS: Children (< 18 yr) hospitalized with coronavirus disease 2019 at participating hospitals from February 2020 to January 2021. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was ICU admission. Secondary outcomes included hospital and ICU duration of stay and ICU, hospital, and 28-day mortality. A total of 874 children with coronavirus disease 2019 were reported to Viral Infection and Respiratory Illness Universal Study registry from 51 participating centers, majority in the United States. Median age was 8 years (interquartile range, 1.25-14 yr) with a male:female ratio of 1:2. A majority were non-Hispanic (492/874; 62.9%). Median body mass index (n = 817) was 19.4 kg/m2 (16-25.8 kg/m2), with 110 (13.4%) overweight and 300 (36.6%) obese. A majority (67%) presented with fever, and 43.2% had comorbidities. A total of 238 of 838 (28.2%) met the Centers for Disease Control and Prevention criteria for multisystem inflammatory syndrome in children, and 404 of 874 (46.2%) were admitted to the ICU. In multivariate logistic regression, age, fever, multisystem inflammatory syndrome in children, and pre-existing seizure disorder were independently associated with a greater odds of ICU admission. Hospital mortality was 16 of 874 (1.8%). Median (interquartile range) duration of ICU (n = 379) and hospital (n = 857) stay were 3.9 days (2-7.7 d) and 4 days (1.9-7.5 d), respectively. For patients with 28-day data, survival was 679 of 787, 86.3% with 13.4% lost to follow-up, and 0.3% deceased. CONCLUSIONS: In this observational, multicenter registry of children with coronavirus disease 2019, ICU admission was common. Older age, fever, multisystem inflammatory syndrome in children, and seizure disorder were independently associated with ICU admission, and mortality was lower among children than mortality reported in adults.

SARS-CoV-2 With Concurrent Respiratory Viral Infection as a Risk Factor for a Higher Level of Care in Hospitalized Pediatric Patients.

OBJECTIVE: As of early 2021, there have been over 3.5 million pediatric cases of SARS-CoV-2, including 292 pediatric deaths in the United States. Although most pediatric patients present with mild disease, they are still at risk for developing significant morbidity requiring hospitalization and intensive care unit (ICU) level of care. This study was performed to evaluate if the presence of concurrent respiratory viral infections in pediatric patients admitted to the hospital with SARS-CoV-2 was associated with an increased rate of ICU level of care. DESIGN: A multicenter, international, noninterventional, cross-sectional study using data provided through The Society of Critical Care Medicine Discovery Network Viral Infection and Respiratory Illness Universal Study database. SETTING: The medical ward and ICU of 67 participating hospitals. PATIENTS: Pediatric patients younger than 18 years hospitalized with SARS-CoV-2. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 922 patients were included. Among these patients, 391 required ICU level care and 31 had concurrent non-SARS-CoV-2 viral coinfection. In a multivariate analysis, after accounting for age, positive blood culture, positive sputum culture, preexisting chronic medical conditions, the presence of a viral respiratory coinfection was associated with need for ICU care (odds ratio, 3.6; 95% confidence interval, 1.6-9.4; P < 0.01). CONCLUSIONS: This study demonstrates an association between concurrent SARS-CoV-2 infection with viral respiratory coinfection and the need for ICU care. Further research is needed to identify other risk factors that can be used to derive and validate a risk-stratification tool for disease severity in pediatric patients with SARS-CoV-2.

Quantifying Workload and Stress in Intensive Care Unit Nurses: Preliminary Evaluation Using Continuous Eye-Tracking.

OBJECTIVE: (1) To assess mental workloads of intensive care unit (ICU) nurses in 12-hour working shifts (days and nights) using eye movement data; (2) to explore the impact of stress on the ocular metrics of nurses performing patient care in the ICU. BACKGROUND: Prior studies have employed workload scoring systems or accelerometer data to assess ICU nurses' workload. This is the first naturalistic attempt to explore nurses' mental workload using eye movement data. METHODS: Tobii Pro Glasses 2 eye-tracking and Empatica E4 devices were used to collect eye movement and physiological data from 15 nurses during 12-hour shifts (252 observation hours). We used mixed-effect models and an ordinal regression model with a random effect to analyze the changes in eye movement metrics during high stress episodes. RESULTS: While the cadence and characteristics of nurse workload can vary between day shift and night shift, no significant difference in eye movement values was detected. However, eye movement metrics showed that the initial handoff period of nursing shifts has a higher mental workload compared with other times. Analysis of ocular metrics showed that stress is positively associated with an increase in number of eye fixations and gaze entropy, but negatively correlated with the duration of saccades and pupil diameter. CONCLUSION: Eye-tracking technology can be used to assess the temporal variation of stress and associated changes with mental workload in the ICU environment. A real-time system could be developed for monitoring stress and workload for intervention development.

Quantifying Occupational Stress in Intensive Care Unit Nurses: An Applied Naturalistic Study of Correlations Among Stress, Heart Rate, Electrodermal Activity, and Skin Temperature.

OBJECTIVE: To identify physiological correlates to stress in intensive care unit nurses. BACKGROUND: Most research on stress correlates are done in laboratory environments; naturalistic investigation of stress remains a general gap. METHOD: Electrodermal activity, heart rate, and skin temperatures were recorded continuously for 12-hr nursing shifts (23 participants) using a wrist-worn wearable technology (Empatica E4). RESULTS: Positive correlations included stress and heart rate (ρ = .35, p < .001), stress and skin temperature (ρ = .49, p < .05), and heart rate and skin temperatures (ρ = .54, p = .0008). DISCUSSION: The presence and direction of some correlations found in this study differ from those anticipated from prior literature, illustrating the importance of complementing laboratory research with naturalistic studies. Further work is warranted to recognize nursing activities associated with a high level of stress and the underlying reasons associated with changes in physiological responses. APPLICATION: Heart rate and skin temperature may be used for real-time detection of stress, but more work is needed to validate such surrogate measures.

Outcomes of Patients With Coronavirus Disease 2019 Receiving Organ Support Therapies: The International Viral Infection and Respiratory Illness Universal Study Registry.

OBJECTIVES: To describe the outcomes of hospitalized patients in a multicenter, international coronavirus disease 2019 registry. DESIGN: Cross-sectional observational study including coronavirus disease 2019 patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus-2 infection between February 15, 2020, and November 30, 2020, according to age and type of organ support therapies. SETTING: About 168 hospitals in 16 countries within the Society of Critical Care Medicine's Discovery Viral Infection and Respiratory Illness University Study coronavirus disease 2019 registry. PATIENTS: Adult hospitalized coronavirus disease 2019 patients who did and did not require various types and combinations of organ support (mechanical ventilation, renal replacement therapy, vasopressors, and extracorporeal membrane oxygenation). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Primary outcome was hospital mortality. Secondary outcomes were discharge home with or without assistance and hospital length of stay. Risk-adjusted variation in hospital mortality for patients receiving invasive mechanical ventilation was assessed by using multilevel models with hospitals as a random effect, adjusted for age, race/ethnicity, sex, and comorbidities. Among 20,608 patients with coronavirus disease 2019, the mean (± sd) age was 60.5 (±17), 11,1887 (54.3%) were men, 8,745 (42.4%) were admitted to the ICU, and 3,906 (19%) died in the hospital. Hospital mortality was 8.2% for patients receiving no organ support (n = 15,001). The most common organ support therapy was invasive mechanical ventilation (n = 5,005; 24.3%), with a hospital mortality of 49.8%. Mortality ranged from 40.8% among patients receiving only invasive mechanical ventilation (n =1,749) to 71.6% for patients receiving invasive mechanical ventilation, vasoactive drugs, and new renal replacement therapy (n = 655). Mortality was 39% for patients receiving extracorporeal membrane oxygenation (n = 389). Rates of discharge home ranged from 73.5% for patients who did not require organ support therapies to 29.8% for patients who only received invasive mechanical ventilation, and 8.8% for invasive mechanical ventilation, vasoactive drugs, and renal replacement; 10.8% of patients older than 74 years who received invasive mechanical ventilation were discharged home. Median hospital length of stay for patients on mechanical ventilation was 17.1 days (9.7-28 d). Adjusted interhospital variation in mortality among patients receiving invasive mechanical ventilation was large (median odds ratio 1.69). CONCLUSIONS: Coronavirus disease 2019 prognosis varies by age and level of organ support. Interhospital variation in mortality of mechanically ventilated patients was not explained by patient characteristics and requires further evaluation.

Peer Support for Post Intensive Care Syndrome Self-Management (PS-PICS): Study protocol for peer mentor training.

AIMS: The primary aim of the Peer Support for Post Intensive Care Syndrome Self-Management (PS-PICS) peer mentor training trial is to determine the feasibility for peer mentor training to connect new ICU survivors with survivors who have made successful recoveries. Secondary aims are to also examine peer mentor eligibility, recruitment and retention rates and assess changes in participant knowledge of Post Intensive Care Syndrome (PICS), reported symptoms and health-related quality of life. DESIGN: Prospective clinical feasibility trial. METHODS: This study received funding from the National Institutes of Health funded P30 Center for Excellence (2014-2020). Up to 20 adult patients who have had an ICU stay of 3 days or longer more than 3 months ago will be enrolled into the study. Participants will undergo a 6-week peer mentor training program to learn how to promote healthy self-management behaviours, social connections, and well-being using motivational interviewing (MI). Participants will complete surveys about their recovery at 3 points during the study: prior to training, 6 weeks post-training and 3 months post-training. Survey questions will be used to assess trends in participant social isolation, depression, functional status, and self-management behaviours. DISCUSSION: Enrollment closes by December 2020. As a feasibility trial, power sufficient for hypothesis testing will not be available. However, study operations and intervention fidelity contribute to future research knowledge and participant characteristics and longitudinal outcomes will yield data on intervention feasibility. This study is the first use of embedding peer-led motivational interviewing training into a peer support intervention for ICU survivors. IMPACT: Current self-management interventions are limited for ICU survivors and do not sufficiently address barriers to promoting self-management behaviours or improving their health status, well-being and cost of health. This study will provide data to develop and implement interventions for the self-management of PICS-related symptoms and sequelae.

Lessons learned from eight teams: The value of pilot and feasibility studies in self-management science.

Designing and conducting effective intervention research is an important domain of nursing science. Nurse scientists have long recognized people with chronic conditions need effective self-management strategies across the lifespan, so they have led the way in establishing theoretical and practical grounds for the science of self-management. Guidance from pilot and feasibility research for self-management interventions is scarce. Documented exemplars of successes and failures in pilot and feasibility study designs are scant in the literature. The purpose of this paper is to illustrate methodological approaches using pilot and feasibility examples. To maximize collective lessons learned in self-management science study design, features of our pilot and feasibility research strategies that yielded both desirable and undesirable outcomes are described, analyzed, and paired with alternative solutions. A National Institute of Nursing Research P30 grant center, awarded grants to 8 pilot investigators to pilot self-management interventions. A wide variety of chronic conditions were addressed, including heart failure, chronic kidney disease, multiple sclerosis, diabetes, and HIV. The investigators provided their experiences of study implementation. Common themes across the studies were identified. There were four lessons learned from these studies: 1) maximize resources and develop enough evidence for subsequent studies; 2) embed patient-centered feasibility within implementation testing with new patient populations; 3) develop a flexible participant recruitment plan to allow for adjustments when unexpected barriers arise; and 4) define study-specific data collection procedures to demonstrate feasibility. Researchers conducting preliminary small-scale self-management intervention research must balance resources to develop and implement interventions to meet pilot and feasibility objectives.

A concept analysis of role ambiguity experienced by hospital nurses providing bedside nursing care.

The concept of role ambiguity, despite its wide application in nursing research, lacks a clear definition and conceptualization, resulting in inconsistencies about how it is defined, operationalized, and applied in research. The purpose of this paper was to analyze and define the concept of role ambiguity among hospital nurses providing nursing care, using the concept analysis method developed by Walker and Avant. The three defining attributes of role ambiguity were lack of information (information deficiency), lack of clarity, and unpredictability. Antecedents included lack of clear role definitions, lack of education/training, communication problems, supervisory behaviors and support, organizational culture, practice environment conditions, experience, group cohesiveness, and preferred work setting. The consequences of role ambiguity included increased stress, lack of organizational commitment, job dissatisfaction, burnout, and increased intent to leave. This concept analysis provides a clear conceptual definition to better understand role ambiguity among hospital nurses along with implications for nurse leaders, educators, clinicians, and researchers to support nurses and guide future research. This paper further emphasizes the importance of nurse-manager relationships in reducing the experience of role ambiguity among hospital nurses.

Living Through the COVID-19 Pandemic: Community-Dwelling Older Adults' Experiences.

Increasing research is investigating the COVID-19 pandemic's impact on older adults, but relatively little is known about the complexities of community-dwelling older adults' lived experiences during this historical period. This study aimed to address this gap in the literature by taking a bottom-up, theory-generating, inductive approach. Older adults living in Central Texas (N = 200; age, 65-92 years, M = 73.6 ± 6.33) responded to a telephone interview during June-August 2020. Data were analyzed using inductive thematic analysis. We identified three key themes: positive, mixed, and negative experiences, with a total of 11 subthemes. A thematic map was developed, illustrating potential connections to mental health. These findings reveal the complexities of older adults' lived experiences during COVID-19 and have implications for developing aging-related policies and community-based interventions during future public health crises. Recognizing the complexities of older adults' lived experiences, tailored policies and interventions can be developed to effectively leverage older adults' effective coping and resilience while at the same time helping overcome negative effects among specific subgroups.

Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

The feasibility of integrating remote presence technology within a simulation scenario for psychiatric-mental health nursing (PMHN) students to develop telehealth competencies was evaluated. A wireless, audiovisual robot from Double® Robotics, maneuverable by smartphone or tablet computer, was used to simulate the facilitation of students' patient assessment and treatment decisions from a distant location for 32 weeks (total hours of robotic simulation = 32). Qualitative data were collected to assess student and faculty satisfaction, as well as for feasibility evaluations. Overall, students participating in the telehealth-enabled simulations reported moderate (9 of 36 students) to strong (25 of 36 students) value for the use of telemedicine within the simulation in a 3-point Likert scale post-simulation survey. These results illustrate the feasibility of using a remote presence robot in an educational simulation environment. Remote presence in clinical simulations can contribute to workforce preparation to apply telehealth-enabled communication in PMHN settings. [Journal of Psychosocial Nursing and Mental Health Services, 57(7), 23-28.].