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.

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.

Patient and Caregiver-Derived Health Service Improvements for Better Critical Care Recovery.

OBJECTIVES: To engage critical care end-users (survivors and caregivers) to describe their emotions and experiences across their recovery trajectory, and elicit their ideas and solutions for health service improvements to improve the ICU recovery experience. DESIGN: End-user engagement as part of a qualitative design using the Framework Analysis method. SETTING: The Society of Critical Care Medicine's THRIVE international collaborative sites (follow-up clinics and peer support groups). SUBJECTS: Patients and caregivers following critical illness and identified through the collaboratives. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Eighty-six interviews were conducted. The following themes were identified: 1) Emotions and experiences of patients-"Loss of former self; Experiences of disability and adaptation"; 2) Emotions and experiences of caregivers-"Emotional impacts, adopting new roles, and caregiver burden; Influence of gender roles; Adaptation, adjustment, recalibration"; and 3) Patient and caregiver-generated solutions to improve recovery across the arc of care-"Family-targeted education; Expectation management; Rehabilitation for patients and caregivers; Peer support groups; Reconnecting with ICU post-discharge; Access to community-based supports post-discharge; Psychological support; Education of issues of ICU survivorship for health professionals; Support across recovery trajectory." Themes were mapped to a previously published recovery framework (Timing It Right) that captures patient and caregiver experiences and their support needs across the phases of care from the event/diagnosis to adaptation post-discharge home. CONCLUSIONS: Patients and caregivers reported a range of emotions and experiences across the recovery trajectory from ICU to home. Through end-user engagement strategies many potential solutions were identified that could be implemented by health services and tested to support the delivery of higher-quality care for ICU survivors and their caregivers that extend from tertiary to primary care settings.

Haloperidol and Ziprasidone for Treatment of Delirium in Critical Illness.

BACKGROUND: There are conflicting data on the effects of antipsychotic medications on delirium in patients in the intensive care unit (ICU). METHODS: In a randomized, double-blind, placebo-controlled trial, we assigned patients with acute respiratory failure or shock and hypoactive or hyperactive delirium to receive intravenous boluses of haloperidol (maximum dose, 20 mg daily), ziprasidone (maximum dose, 40 mg daily), or placebo. The volume and dose of a trial drug or placebo was halved or doubled at 12-hour intervals on the basis of the presence or absence of delirium, as detected with the use of the Confusion Assessment Method for the ICU, and of side effects of the intervention. The primary end point was the number of days alive without delirium or coma during the 14-day intervention period. Secondary end points included 30-day and 90-day survival, time to freedom from mechanical ventilation, and time to ICU and hospital discharge. Safety end points included extrapyramidal symptoms and excessive sedation. RESULTS: Written informed consent was obtained from 1183 patients or their authorized representatives. Delirium developed in 566 patients (48%), of whom 89% had hypoactive delirium and 11% had hyperactive delirium. Of the 566 patients, 184 were randomly assigned to receive placebo, 192 to receive haloperidol, and 190 to receive ziprasidone. The median duration of exposure to a trial drug or placebo was 4 days (interquartile range, 3 to 7). The median number of days alive without delirium or coma was 8.5 (95% confidence interval [CI], 5.6 to 9.9) in the placebo group, 7.9 (95% CI, 4.4 to 9.6) in the haloperidol group, and 8.7 (95% CI, 5.9 to 10.0) in the ziprasidone group (P=0.26 for overall effect across trial groups). The use of haloperidol or ziprasidone, as compared with placebo, had no significant effect on the primary end point (odds ratios, 0.88 [95% CI, 0.64 to 1.21] and 1.04 [95% CI, 0.73 to 1.48], respectively). There were no significant between-group differences with respect to the secondary end points or the frequency of extrapyramidal symptoms. CONCLUSIONS: The use of haloperidol or ziprasidone, as compared with placebo, in patients with acute respiratory failure or shock and hypoactive or hyperactive delirium in the ICU did not significantly alter the duration of delirium. (Funded by the National Institutes of Health and the VA Geriatric Research Education and Clinical Center; MIND-USA ClinicalTrials.gov number, NCT01211522 .).

Transitions of Care After Critical Illness-Challenges to Recovery and Adaptive Problem Solving.

OBJECTIVES: Investigate the challenges experienced by survivors of critical illness and their caregivers across the transitions of care from intensive care to community, and the potential problem-solving strategies used to navigate these challenges. DESIGN: Qualitative design-data generation via interviews and data analysis via the framework analysis method. SETTING: Patients and caregivers from three continents, identified through the Society of Critical Care Medicine's THRIVE international collaborative sites (follow-up clinics and peer support groups). SUBJECTS: Patients and caregivers following critical illness. INTERVENTIONS: Nil. MEASUREMENTS AND MAIN RESULTS: From 86 interviews (66 patients, 20 caregivers), we identified the following major themes: 1) Challenges for patients-interacting with the health system and gaps in care; managing others' expectations of illness and recovery. 2) Challenges for caregivers-health system shortfalls and inadequate communication; lack of support for caregivers. 3) Patient and caregiver-driven problem solving across the transitions of care-personal attributes, resources, and initiative; receiving support and helping others; and acceptance. CONCLUSIONS: Survivors and caregivers experienced a range of challenges across the transitions of care. There were distinct and contrasting themes related to the caregiver experience. Survivors and caregivers used comparable problem-solving strategies to navigate the challenges encountered across the transitions of care.

Implementation of an Intensive Care Unit Diary Program at a Veterans Affairs Hospital.

BACKGROUND: Intensive care unit (ICU) diaries are recommended to address psychological sequelae following critical illness. Diaries are correlated with reduced prevalence of posttraumatic stress disorder in survivors of critical illness and their families. LOCAL PROBLEM: Our ICU was not adequately meeting the psychological needs of patients and families. METHODS: We established an interprofessional team to implement an ICU diary program in partnership with implementation of the ABCDEF (Assess, prevent, and manage pain; Both awakening and breathing trials; Choice of analgesia and sedation; Delirium: assess, prevent, and manage; Early mobility and exercise; Family engagement and empowerment) bundle and peer support programs. Staff knowledge and perception of ICU diaries were obtained. INTERVENTIONS: Diaries were initiated for patients at high risk for post-intensive care syndrome, and entries by all ICU staff and family members/visitors were encouraged. RESULTS: A total of 75 diaries were initiated between January 2017 and January 2019. The ICU diaries have been received positively by patients, family members, and staff. CONCLUSIONS: The ICU diary is a cost-effective and efficient intervention to help patients and family members cope with the burden of critical illness.

Implementation Science Training and Resources for Nurses and Nurse Scientists.

PURPOSE: The purpose of this article is to describe the differences between quality improvement and implementation science, the urgency for nurses and nurse scientists to engage in implementation science, and international educational opportunities and resources for implementation science. ORGANIZING CONSTRUCT: There is a push for providing safe, effective, patient-centered, timely, efficient, and equitable health care. Implementation science plays a key role in adoption and integration of evidence-based practices to improve quality of care. METHODS: We reviewed implementation science programs, organizations, and literature to analyze the roles of nurses and nurse scientists in translating evidence into routine practice. FINDINGS: Implementation-trained nurses and nurse scientists are needed as part of multidisciplinary teams to advance implementation science because of their unique understanding of contextual barriers within nursing practice. Likewise, nurses are uniquely qualified for recognizing what implementation strategies are needed to improve nursing care across practice settings. CONCLUSIONS: Many international clinical and training resources exist and are supplied to aid interested readers in learning more about implementation science. CLINICAL RELEVANCE: Half of research evidence never reaches the clinical setting, and the other half takes 20 years to translate into clinical practice. Implementation science-trained nurses are in a position to be excellent improvers for meaningful change in practice.

Models of Peer Support to Remediate Post-Intensive Care Syndrome: A Report Developed by the Society of Critical Care Medicine Thrive International Peer Support Collaborative.

OBJECTIVES: Patients and caregivers can experience a range of physical, psychologic, and cognitive problems following critical care discharge. The use of peer support has been proposed as an innovative support mechanism. DESIGN: We sought to identify technical, safety, and procedural aspects of existing operational models of peer support, among the Society of Critical Care Medicine Thrive Peer Support Collaborative. We also sought to categorize key distinctions between these models and elucidate barriers and facilitators to implementation. SUBJECTS AND SETTING: Seventeen Thrive sites from the United States, United Kingdom, and Australia were represented by a range of healthcare professionals. MEASUREMENTS AND MAIN RESULTS: Via an iterative process of in-person and email/conference calls, members of the Collaborative defined the key areas on which peer support models could be defined and compared, collected detailed self-reports from all sites, reviewed the information, and identified clusters of models. Barriers and challenges to implementation of peer support models were also documented. Within the Thrive Collaborative, six general models of peer support were identified: community based, psychologist-led outpatient, models-based within ICU follow-up clinics, online, groups based within ICU, and peer mentor models. The most common barriers to implementation were recruitment to groups, personnel input and training, sustainability and funding, risk management, and measuring success. CONCLUSIONS: A number of different models of peer support are currently being developed to help patients and families recover and grow in the postcritical care setting.

Enablers and Barriers to Implementing ICU Follow-Up Clinics and Peer Support Groups Following Critical Illness: The Thrive Collaboratives.

OBJECTIVES: Data are lacking regarding implementation of novel strategies such as follow-up clinics and peer support groups, to reduce the burden of postintensive care syndrome. We sought to discover enablers that helped hospital-based clinicians establish post-ICU clinics and peer support programs, and identify barriers that challenged them. DESIGN: Qualitative inquiry. The Consolidated Framework for Implementation Research was used to organize and analyze data. SETTING: Two learning collaboratives (ICU follow-up clinics and peer support groups), representing 21 sites, across three continents. SUBJECTS: Clinicians from 21 sites. MEASUREMENT AND MAIN RESULTS: Ten enablers and nine barriers to implementation of "ICU follow-up clinics" were described. A key enabler to generate support for clinics was providing insight into the human experience of survivorship, to obtain interest from hospital administrators. Significant barriers included patient and family lack of access to clinics and clinic funding. Nine enablers and five barriers to the implementation of "peer support groups" were identified. Key enablers included developing infrastructure to support successful operationalization of this complex intervention, flexibility about when peer support should be offered, belonging to the international learning collaborative. Significant barriers related to limited attendance by patients and families due to challenges in creating awareness, and uncertainty about who might be appropriate to attend and target in advertising. CONCLUSIONS: Several enablers and barriers to implementing ICU follow-up clinics and peer support groups should be taken into account and leveraged to improve ICU recovery. Among the most important enablers are motivated clinician leaders who persist to find a path forward despite obstacles.

The Relationship Between Uncertainty and Psychological Distress Among Family Caregivers of Patients With Delirium in Intensive Care Units: A Cross-Sectional Survey.

BACKGROUND: Although family caregivers experienced negative psychological symptoms associated with witnessing intensive care unit delirium in their loved ones, there is a lack of clear understanding of how delirium is associated with family caregiver psychological distress. Uncertainty could be a factor contributed to this association. OBJECTIVES: The aim of this study was to examine the relationship between uncertainty and psychological distress among family caregivers of patients with delirium in intensive care units. METHODS: A cross-sectional correlational design was used for this observational study of adult family caregivers of patients admitted to the intensive care unit and who reported witnessing delirium symptoms in their loved ones. Family caregivers completed an electronic survey in January 2022 that consisted of a family caregiver and patient demographic form, the Mishel Uncertainty in Illness Scale-Family Member, and the Kessler Psychological Distress Scale. Descriptive, correlational, and regression statistical analyses were applied. RESULTS: One hundred twenty-one adult family caregivers were enrolled. Family caregivers reported substantial uncertainty (mean, 106.15, on a scale of 31-155) and moderate to severe psychological distress (mean, 31.37, on a scale of 10-50) regarding their witnessing of delirium episodes in their loved ones. Uncertainty was significantly correlated with psychological distress among family caregivers (rs = 0.52, P < .001). Uncertainty significantly predicted psychological distress among family caregivers (regression coefficient, 0.27; P < .001). DISCUSSION: Family caregiver uncertainty was positively associated with psychological distress. This distress can interfere with family caregiver involvement in patient delirium care. These findings are essential to increase critical care nurse awareness and inform the development of nursing interventions to alleviate possible uncertainty and distress.

Long-term outcomes after treatment of delirium during critical illness with antipsychotics (MIND-USA): a randomised, placebo-controlled, phase 3 trial.

BACKGROUND: Delirium is common during critical illness and is associated with long-term cognitive impairment and disability. Antipsychotics are frequently used to treat delirium, but their effects on long-term outcomes are unknown. We aimed to investigate the effects of antipsychotic treatment of delirious, critically ill patients on long-term cognitive, functional, psychological, and quality-of-life outcomes. METHODS: This prespecified, long-term follow-up to the randomised, double-blind, placebo-controlled phase 3 MIND-USA Study was conducted in 16 hospitals throughout the USA. Adults (aged ≥18 years) who had been admitted to an intensive care unit with respiratory failure or septic or cardiogenic shock were eligible for inclusion in the study if they had delirium. Participants were randomly assigned-using a computer-generated, permuted-block randomisation scheme with stratification by trial site and age-in a 1:1:1 ratio to receive intravenous placebo, haloperidol, or ziprasidone for up to 14 days. Investigators and participants were masked to treatment group assignment. 3 months and 12 months after randomisation, we assessed survivors' cognitive, functional, psychological, quality-of-life, and employment outcomes using validated telephone-administered tests and questionnaires. This trial was registered with ClinicalTrials.gov, NCT01211522, and is complete. FINDINGS: Between Dec 7, 2011, and Aug 12, 2017, we screened 20 914 individuals, of whom 566 were eligible and consented or had consent provided to participate. Of these 566 patients, 184 were assigned to the placebo group, 192 to the haloperidol group, and 190 to the ziprasidone group. 1-year survival and follow-up rates were similar between groups. Cognitive impairment was common in all three treatment groups, with a third of survivors impaired at both 3-month and 12-month follow-up in all groups. More than half of the surveyed survivors in each group had cognitive or physical limitations (or both) that precluded employment at both 3-month and 12-month follow-up. At both 3 months and 12 months, neither haloperidol (adjusted odds ratio 1·22 [95% CI 0·73-2.04] at 3 months and 1·12 [0·60-2·11] at 12 months) nor ziprasidone (1·07 [0·59-1·96] at 3 months and 0·94 [0·62-1·44] at 12 months) significantly altered cognitive outcomes, as measured by the Telephone Interview for Cognitive Status T score, compared with placebo. We also found no evidence that functional, psychological, quality-of-life, or employment outcomes improved with haloperidol or ziprasidone compared with placebo. INTERPRETATION: In delirious, critically ill patients, neither haloperidol nor ziprasidone had a significant effect on cognitive, functional, psychological, or quality-of-life outcomes among survivors. Our findings, along with insufficient evidence of short-term benefit and frequent inappropriate continuation of antipsychotics at hospital discharge, indicate that antipsychotics should not be used routinely to treat delirium in critically ill adults. FUNDING: National Institutes of Health and the US Department of Veterans Affairs.

Delirium in the cardiovascular ICU: exploring modifiable risk factors.

OBJECTIVE: Delirium, an acute organ dysfunction, is common among critically ill patients leading to significant morbidity and mortality; its epidemiology in a mixed cardiology and cardiac surgery ICU is not well established. We sought to determine the prevalence and risk factors for delirium among cardiac surgery ICU patients. DESIGN: Prospective observational study. SETTING: Twenty-seven-bed medical-surgical cardiac surgery ICU. PATIENTS: Two hundred consecutive patients with an expected cardiac surgery ICU length of stay >24 hrs. INTERVENTIONS: None. MEASUREMENTS: Baseline demographic data and daily assessments for delirium using the validated and reliable Confusion Assessment Method for the ICU were recorded, and quantitative tracking of delirium risk factors were conducted. Separate analyses studied the role of admission risk factors for occurrence of delirium during the cardiac surgery ICU stay and identified daily occurring risk factors for the development of delirium on a subsequent cardiac surgery ICU day. MAIN RESULTS: Prevalence of delirium was 26%, similar among cardiology and cardiac surgical patients. Nearly all (92%) exhibited the hypoactive subtype of delirium. Benzodiazepine use at admission was independently predictive of a three-fold increased risk of delirium (odds ratio 3.1 [1, 9.4], p = 0.04) during the cardiac surgery ICU stay. Of the daily occurring risk factors, patients who received benzodiazepines (2.6 [1.2, 5.7], p = 0.02) or had restraints or devices that precluded mobilization (2.9 [1.3, 6.5], p < 0.01) were more likely to have delirium the following day. Hemodynamic status was not associated with delirium. CONCLUSIONS: Delirium occurred in one in four patients in the cardiac surgery ICU and was predominately hypoactive in subtype. Chemical restraints via use of benzodiazepines or the use of physical restraints/restraining devices predisposed patients to a greater risk of delirium, pointing to areas of quality improvement that would be new to the vast majority of cardiac surgery ICUs.

Patient and caregiver experiences with a telemedicine intensive care unit recovery clinic.

BACKGROUND: Intensive Care Unit Recovery Clinics (ICU-RCs) were founded to address post-intensive care syndrome among ICU survivors. Telemedicine ICU-RCs may facilitate access for more ICU survivors, however, patient and caregiver experiences with telemedicine ICU-RCs have not been explored qualitatively. OBJECTIVE: To explore patient and informal caregiver experiences with a telemedicine ICU-RC. METHODS: Our qualitative exploratory cross-sectional study was guided by qualitative description methodology. Telemedicine ICU-RC visits were conducted at 3- and 12-weeks post-discharge following critical illness. Patients, and caregivers when available, met with an ICU pharmacist, ICU physician, and a neuropsychologist via Zoom. Thereafter, we conducted qualitative (1:1) telephone interviews with 14 patients and 12 caregivers recruited purposefully. Data were analyzed using conventional content analysis. RESULTS: Five themes were identified: (1) general impressions of the intervention; (2) intervention organization and delivery; (3) intervention substance; (4) caregiver participation; and (5) ways to improve the intervention. Participants found the telemedicine delivery acceptable, convenient, time-saving, and conducive to thorough discussions. Participants appreciated the information, reassurance, and validation. Attention to mental health during the visits was strongly endorsed. Caregiver involvement depended on patient self-management and technical ability. Suggestions included scheduling a 1-week post-discharge visit, more follow-up visits, and individualizing content for in-depth discussions, including mental health evaluation. CONCLUSIONS: The study results enhance the understanding of patient and caregiver experiences with a telemedicine ICU-RC. Participants' narratives helped to formulate recommendations to improve telemedicine ICU-RC delivery and content. Acceptability of this intervention indicates the potential for wider implementation of telemedicine ICU-RCs to reach more ICU survivors.

Driving decisions after critical illness: Qualitative analysis of patient-provider reviews during ICU recovery clinic assessments.

BACKGROUND: Driving a vehicle is a functional task requiring a threshold of physical, behavioral and cognitive skills. OBJECTIVE: To report patient-provider evaluations of driving status and driving safety assessments after critical illness. DESIGN: Qualitative secondary analysis of driving-related dialog drawn from a two-arm pilot study evaluating telemedicine delivery of Intensive Care Unit Recovery Clinic assessments. Multidisciplinary providers assessed physical, psychological, and cognitive recovery during one-hour telemedicine ICU-RC assessments. Qualitative secondary analysis of patient-provider dialog specific to driving practices after critical illness. SETTING AND PATIENTS: Multidisciplinary Intensive Care Unit Recovery clinic assessment dialog between 17 patients and their providers during 3-week and/or 12-week follow-up assessments at a tertiary academic medical center in the Southeastern United States. MAIN MEASURES AND KEY RESULTS: Thematic content analysis was performed to describe and classify driving safety discussion, driving status and driving practices after critical illness. Driving-related discussions occurred with 15 of 17 participants and were clinician-initiated. When assessed, driving status varied with participants reporting independent decisions to resume driving, delay driving and cease driving after critical illness. Patient-reported driving practices after critical illness included modifications to limit driving to medical appointments, self-assessments of trip durations, and inclusion of care partners as a safety measure for new onset fatigue while driving. CONCLUSION: We found that patients are largely self-navigating this stage of recovery, making subjective decisions on driving resumption and overall driving status. These results highlight that driving status changes are an often underrecognized yet salient social cost of critical illness. TRIAL REGISTRATION: Clinicaltrials.gov: NCT03926533.

Factors Influencing Influenza and COVID-19 Vaccine Decision-Making in the Post-ICU Period: A Secondary Analysis.

BACKGROUND: The introduction of COVID-19 vaccines exposed volatility and hesitancy around vaccines. Some health care models, including ICU recovery clinics (ICU-RCs), are structured to provide vaccine counseling. However, information regarding provider and patient vaccine conversations is limited in this postacute setting. RESEARCH QUESTION: What factors influence the decision-making process of patients who have survived an ICU stay surrounding influenza and COVID-19 vaccination? STUDY DESIGN AND METHODS: To understand further vaccine perceptions after critical illness, a secondary qualitative thematic analysis was performed using transcripts from a randomized controlled trial designed to develop and refine a telemedicine approach to ICU recovery. Thirty-three ICU-RC visits with 19 adult patients and 13 caregivers were conducted within 12 weeks of hospital discharge. The analysis was guided by the theory of planned behavior (TPB). RESULTS: Five themes were elicited from the data. The first four themes arose from the TPB: (1) behavioral and attitudinal beliefs (not being susceptible to the flu, concerns about the COVID-19 vaccine causing fertility issues, and not being tested enough), (2) normative beliefs (everyone they know is getting the influenza vaccine so they are, too), (3) control vaccine beliefs (patients are more likely to get the COVID-19 vaccine if it is easy to obtain), and (4) intention to vaccinate. Another theme not related to the TPB arose and could contribute to vaccine intent and behavior: (5) health team engagement with patients and caregivers (allowing for ICU clinicians to correct vaccine misinformation in real time). INTERPRETATION: Using the information learned in our study, the period after critical illness or other acute illness events may be an especially fruitful target for designing an action plan for improving public trust in vaccines and improving overall completion rates; however, further research is needed. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT03926533; URL: www.clinicaltrials.gov.

Multidisciplinary ICU Recovery Clinic Visits: A Qualitative Analysis of Patient-Provider Dialogues.

BACKGROUND: Research confirms the heterogeneous nature of patient challenges during recovery from the ICU and supports the need for modifying care experiences, but few data are available to guide clinicians seeking to support patients' individual recovery trajectories. RESEARCH QUESTION: What is the content of patient-provider dialogues in a telemedicine multidisciplinary ICU recovery clinic (ICU-RC)? STUDY DESIGN AND METHODS: We conducted a qualitative descriptive study in a telemedicine multidisciplinary ICU-RC at a tertiary academic medical center in the southeastern United States. The sample included 19 patients and 13 caregivers (≥ 18 years of age) attending a telemedicine ICU-RC visit after critical illness resulting from septic shock or ARDS. Patients and caregivers met with an ICU pharmacist, ICU physician, and a psychologist via a secure web-conferencing platform for 33 ICU-RC visits within 12 weeks of hospital discharge. Telemedicine ICU-RC visits were audio-recorded and transcribed verbatim for analysis. A coding system was developed using iterative inductive and deductive approaches. RESULTS: Two themes were identified from the patient-provider dialogue: (1) problem identification and (2) problem-solving strategies. We identified five subthemes that capture the types of problems identified: health status, mental health and cognition, medication management, health-care access and navigation, and quality of life. Problem-solving subthemes included facilitating care coordination and transitions, providing education, and giving constructive feedback and guidance. INTERPRETATION: Patients surviving a critical illness experience a complexity of problems that may be addressed best by a multidisciplinary ICU-RC. Through analysis of our telemedicine ICU-RC dialogues, we were able to identify problems and solutions to address challenges during a critical transitional phase of ICU recovery. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT03926533; URL: www. CLINICALTRIALS: gov.

Understanding and Managing Anxiety Sensitivity During Critical Illness and Long-Term Recovery.

Anxiety sensitivity is a fear of symptoms associated with anxiety (eg, rapid respiration and heart rate, perspiration), also known as "fear of fear." This fear is a misinterpretation of nonthreatening symptoms as threatening across 3 domains: physical ("When my heart rate increases, I'm afraid I may have a heart attack"), social ("If people see me perspire, I fear they will negatively evaluate me"), and cognitive ("When I feel these symptoms, I fear it means I'm going crazy or will lose control and do something dangerous like disconnect my IV"). These thoughts stimulate the sympathetic nervous system, resulting in stronger sensations and further catastrophic misinterpretations, which may spiral into a panic attack. Strategies to address anxiety sensitivity include pharmacologic and nonpharmacologic interventions. In intensive care unit settings, anxiety sensitivity may be related to common monitoring and interventional procedures (eg, oxygen therapy, repositioning, use of urine collection systems). Anxiety sensitivity can be a barrier to weaning from mechanical ventilation when patients are uncomfortable following instructions to perform awakening or breathing trials. Fortunately, anxiety sensitivity is a malleable trait with evidence-based intervention options. However, few health care providers are aware of this psychological construct and available treatment. This article describes the nature of anxiety sensitivity, its potential impact on intensive care, how to assess and interpret scores from validated instruments such as the Anxiety Sensitivity Index, and treatment approaches across the critical care trajectory, including long-term recovery. Implications for critical care practice and future directions are also addressed.

Effects of social influence and implementation climate and leadership on nurse-led early mobility behaviours in critical care.

INTRODUCTION: Early mobility (EM), initiating and advancing physical activity in the earliest days of critical illness, has been described as the most difficult component of the ABCDEF bundle to implement and coordinate. Successful implementation of EM in clinical practice requires multiple targeted implementation strategies. OBJECTIVE: Describe the associations of nurses' EM attitudes, subjective norms, perceived behavioural control, intention, and implementation climate and leadership with self-reported and documented EM behaviour in the intensive care unit (ICU). DESIGN: This was a two-site, descriptive, cross-sectional study to explore nurses' perception of the factors influencing EM adherence. SETTING: Three ICUs (medical, surgical and cardiovascular) in an academic medical centre and two ICUs (medical/surgical and cardiovascular) in a regional medical centre in middle Tennessee. PATIENTS: Critically ill adults. INTERVENTIONS: None. MAIN OUTCOME MEASURES: A 34-item investigator-developed survey, Implementation Leadership Scale, and Implementation Climate Scale were administered to ICU nurses. Survey development was informed by a Theory of Planned Behavior based elicitation study and implementation science frameworks. RESULTS: The academic medical centre had markedly lower EM documentation. We found no difference in nurses' EM attitudinal beliefs, social influence, facilitators, and barriers at both sites. Nurses perceived moderate social influence to perform EM similarly across sites and considerable control over their ability to perform EM. We did note site differences for implementation climate and leadership and objective EM adherence with the regional community medical centre demonstrating statistically significant relationships of implementation climate and leadership with self-report and documented EM behaviours. CONCLUSIONS: We identified contextual differences in implementation climate and leadership influence when comparing nurse EM behaviours. Streamlined documentation, leadership advocacy for interprofessional coordination and manpower support, and multicomponent context-based implementation strategies could contribute to better EM adherence.

Evolution in Care Delivery within Critical Illness Recovery Programs during the COVID-19 Pandemic: A Qualitative Study.

Rationale: There are limited data on the impact of the coronavirus disease (COVID-19) pandemic on intensive care unit (ICU) recovery clinic care delivery practices. Objectives: We sought to better understand the patient-level factors affecting ICU recovery clinic care and changing clinical thinking during the COVID-19 pandemic. We also sought to understand how the COVID-19 pandemic sparked innovation within ICU recovery clinics. Methods: A multicenter qualitative study was conducted with ICU recovery clinic interprofessional clinicians involved with the Critical and Acute Illness Recovery Organization (CAIRO) between February and March 2021. Data were collected using semistructured interviews and were analyzed using thematic analysis. Key themes were organized in a working analytical framework. Results: Twenty-nine participants from 15 international sites participated in the study. Participants identified three patient-level key themes that influenced care delivery in ICU recovery programs: 1) social isolation, 2) decreased emotional reserve in patients and families, and 3) substantial social care needs. Changes in ICU recovery clinic care delivery occurred at both the clinician level (e.g., growing awareness of healthcare disparities and inequities, recognition of financial effects of illness, refinement of communication skills, increased focus on reconstructing the illness narrative) and the practice level (e.g., expansion of care delivery modes, efforts to integrate social care) in response to each of the patient-level themes. Identified gaps in ICU recovery clinic care delivery during the COVID-19 pandemic included a need for multidisciplinary team members, access to care issues (e.g., digital poverty, health insurance coverage, language barriers), and altered family engagement. Conclusions: This study demonstrates that addressing patient-level factors such as efforts to integrate social care, address financial needs, refine provider communication skills (e.g., empathic listening), and enhance focus on reconstructing the illness narrative became important priorities during the ICU recovery clinic visit during the COVID-19 pandemic. We also identified several ongoing gaps in ICU recovery clinic care delivery that highlight the need for interventions focused on the integration of social and clinic services for critical care survivors.