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.

Modification of social determinants of health by critical illness and consequences of that modification for recovery: an international qualitative study.

OBJECTIVES: Social determinants of health (SDoH) contribute to health outcomes. We identified SDoH that were modified by critical illness, and the effect of such modifications on recovery from critical illness. DESIGN: In-depth semistructured interviews following hospital discharge. Interview transcripts were mapped against a pre-existing social policy framework: money and work; skills and education; housing, transport and neighbourhoods; and family, friends and social connections. SETTING: 14 hospital sites in the USA, UK and Australia. PARTICIPANTS: Patients and caregivers, who had been admitted to critical care from three continents. RESULTS: 86 interviews were analysed (66 patients and 20 caregivers). SDoH, both financial and non-financial in nature, could be negatively influenced by exposure to critical illness, with a direct impact on health-related outcomes at an individual level. Financial modifications included changes to employment status due to critical illness-related disability, alongside changes to income and insurance status. Negative health impacts included the inability to access essential healthcare and an increase in mental health problems. CONCLUSIONS: Critical illness appears to modify SDoH for survivors and their family members, potentially impacting recovery and health. Our findings suggest that increased attention to issues such as one's social network, economic security and access to healthcare is required following discharge from critical care.

Characteristics of Post-ICU and Post-COVID Recovery Clinics in 29 U.S. Health Systems.

The multifaceted long-term impairments resulting from critical illness and COVID-19 require interdisciplinary management approaches in the recovery phase of illness. Operational insights into the structure and process of recovery clinics (RCs) from heterogeneous health systems are needed. This study describes the structure and process characteristics of existing and newly implemented ICU-RCs and COVID-RCs in a subset of large health systems in the United States. DESIGN: Cross-sectional survey. SETTING: Thirty-nine RCs, representing a combined 156 hospitals within 29 health systems participated. PATIENTS: None. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: RC demographics, referral criteria, and operating characteristics were collected, including measures used to assess physical, psychologic, and cognitive recoveries. Thirty-nine RC surveys were completed (94% response rate). ICU-RC teams included physicians, pharmacists, social workers, physical therapists, and advanced practice providers. Funding sources for ICU-RCs included clinical billing (n = 20, 77%), volunteer staff support (n = 15, 58%), institutional staff/space support (n = 13, 46%), and grant or foundation funding (n = 3, 12%). Forty-six percent of RCs report patient visit durations of 1 hour or longer. ICU-RC teams reported use of validated scales to assess psychologic recovery (93%), physical recovery (89%), and cognitive recovery (86%) more often in standard visits compared with COVID-RC teams (psychologic, 54%; physical, 69%; and cognitive, 46%). CONCLUSIONS: Operating structures of RCs vary, though almost all describe modest capacity and reliance on volunteerism and discretionary institutional support. ICU- and COVID-RCs in the United States employ varied funding sources and endorse different assessment measures during visits to guide care coordination. Common features include integration of ICU clinicians, interdisciplinary approach, and focus on severe critical illness. The heterogeneity in RC structures and processes contributes to future research on the optimal structure and process to achieve the best postintensive care syndrome and postacute sequelae of COVID outcomes.

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.

Benefits of Peer Support for Intensive Care Unit Survivors: Sharing Experiences, Care Debriefing, and Altruism.

BACKGROUND: After critical illness, patients are often left with impairments in physical, social, emotional, and cognitive functioning. Peer support interventions have been implemented internationally to ameliorate these issues. OBJECTIVE: To explore what patients believed to be the key mechanisms of effectiveness of peer support programs implemented during critical care recovery. METHODS: In a secondary analysis of an international qualitative data set, 66 telephone interviews with patients were undertaken across 14 sites in Australia, the United Kingdom, and the United States to understand the effect of peer support during recovery from critical illness. Prevalent themes were documented with framework analysis. RESULTS: Most patients who had been involved in peer support programs reported benefit. Patients described 3 primary mechanisms: (1) sharing experiences, (2) care debriefing, and (3) altruism. CONCLUSION: Peer support is a relatively simple intervention that could be implemented to support patients during recovery from critical illness. However, more research is required into how these programs can be implemented in a safe and sustainable way in clinical practice.

Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects.

BACKGROUND AND OBJECTIVE: In recent years, deep learning algorithms have created a massive impact on addressing research challenges in different domains. The medical field also greatly benefits from the use of improving deep learning models which save time and produce accurate results. This research aims to emphasize the impact of deep learning models in brain stroke detection and lesion segmentation. This is achieved by discussing the state of the art approaches proposed by the recent works in this field. METHODS: In this study, the advancements in stroke lesion detection and segmentation were focused. The survey analyses 113 research papers published in different academic research databases. The research articles have been filtered out based on specific criteria to obtain the most prominent insights related to stroke lesion detection and segmentation. RESULTS: The features of the stroke lesion vary based on the type of imaging modality. To develop an effective method for stroke lesion detection, the features need to be carefully extracted from the input images. This review takes an attempt to categorize and discuss the different deep architectures employed for stroke lesion detection and segmentation, based on the underlying imaging modality. This further assists in understanding the relevance of the two-deep neural network components in medical image analysis namely Convolutional Neural Network (CNN) and Fully Convolutional Network (FCN). It hints at other possible deep architectures that can be proposed for better results towards stroke lesion detection. Also, the emerging trends and breakthroughs in stroke detection have been detailed in this evaluation. CONCLUSION: This work concludes by examining the technical and non-technical challenges faced by researchers and indicate the future implications in stroke detection. It could support the bio-medical researchers to propose better solutions for stroke lesion detection.

Society of Critical Care Medicine's International Consensus Conference on Prediction and Identification of Long-Term Impairments After Critical Illness.

BACKGROUND: After critical illness, new or worsening impairments in physical, cognitive, and/or mental health function are common among patients who have survived. Who should be screened for long-term impairments, what tools to use, and when remain unclear. OBJECTIVES: Provide pragmatic recommendations to clinicians caring for adult survivors of critical illness related to screening for postdischarge impairments. PARTICIPANTS: Thirty-one international experts in risk-stratification and assessment of survivors of critical illness, including practitioners involved in the Society of Critical Care Medicine's Thrive Post-ICU Collaboratives, survivors of critical illness, and clinical researchers. DESIGN: Society of Critical Care Medicine consensus conference on post-intensive care syndrome prediction and assessment, held in Dallas, in May 2019. A systematic search of PubMed and the Cochrane Library was conducted in 2018 and updated in 2019 to complete an original systematic review and to identify pre-existing systematic reviews. MEETING OUTCOMES: We concluded that existing tools are insufficient to reliably predict post-intensive care syndrome. We identified factors before (e.g., frailty, preexisting functional impairments), during (e.g., duration of delirium, sepsis, acute respiratory distress syndrome), and after (e.g., early symptoms of anxiety, depression, or post-traumatic stress disorder) critical illness that can be used to identify patients at high-risk for cognitive, mental health, and physical impairments after critical illness in whom screening is recommended. We recommend serial assessments, beginning within 2-4 weeks of hospital discharge, using the following screening tools: Montreal Cognitive Assessment test; Hospital Anxiety and Depression Scale; Impact of Event Scale-Revised (post-traumatic stress disorder); 6-minute walk; and/or the EuroQol-5D-5L, a health-related quality of life measure (physical function). CONCLUSIONS: Beginning with an assessment of a patient's pre-ICU functional abilities at ICU admission, clinicians have a care coordination strategy to identify and manage impairments across the continuum. As hospital discharge approaches, clinicians should use brief, standardized assessments and compare these results to patient's pre-ICU functional abilities ("functional reconciliation"). We recommend serial assessments for post-intensive care syndrome-related problems continue within 2-4 weeks of hospital discharge, be prioritized among high-risk patients, using the identified screening tools to prompt referrals for services and/or more detailed assessments.

A novel extrapolation method using OSL detectors for very small field output factor measurement for stereotactic radiosurgery.

Appropriate methods for the determination of very small X-ray beam output factors are essential to ensure correct clinical outcomes for stereotactic radiosurgery. To date, substantial work has been performed in identifying and quantifying suitable dosimeters for relative output factor (ROF) measurements including recent IAEA published recommendations. In this work, we provide a novel method using optically stimulated luminescent dosimeters (OSLDs) with different effective sizes of the readout area to determine ROFs. This involves applying an extrapolation technique to assess ROFs for 6MV SRS X-ray beams with field diameters ranging from 4 to 30 mm as defined by the Brainlab SRS cones. By combining the use of multiple sized OSLDs and water droplets to remove air gaps located around the OSLD detectors, both volume averaging and density variation effects were minimised to estimate ROFs for an extrapolated zero volume detector. The measured results showed that for a 4 mm diameter cone, the ROF was 0.660 ± 0.032 (2SD) as compared to 0.661 ± 0.01 and 0.651 ± 0.018 for the PTW 600019 microDiamond detector and Gafchromic EBT3 film respectively. Whilst the uncertainties were larger than conventional detectors, the technique shows promise and improvements in accuracy may be obtained by higher quality manufacturing techniques. Based on these results, using OSLDs with different effective sizes of readout area and an extrapolation technique shows promise for use as an independent verification tool for very small X-ray field ROFs in the clinical department.

Key Components of ICU Recovery Programs: What Did Patients Report Provided Benefit?

To understand from the perspective of patients who did, and did not attend ICU recovery programs, what were the most important components of successful programs and how should they be organized. DESIGN: International, qualitative study. SETTING: Fourteen hospitals in the United States, United Kingdom, and Australia. PATIENTS: We conducted 66 semi-structured interviews with a diverse group of patients, 52 of whom had used an ICU recovery program and 14 whom had not. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Using content analysis, prevalent themes were documented to understand what improved their outcomes. Contrasting quotes from patients who had not received certain aspects of care were used to identify perceived differential effectiveness. Successful ICU recovery programs had five key components: 1) Continuity of care; 2) Improving symptom status; 3) Normalization and expectation management; 4) Internal and external validation of progress; and 5) Reducing feelings of guilt and helplessness. The delivery of care which achieved these goals was facilitated by early involvement (even before hospital discharge), direct involvement of ICU staff, and a focus on integration across traditional disease, symptom, and social welfare needs. CONCLUSIONS: In this multicenter study, conducted across three continents, patients identified specific and reproducible modes of benefit derived from ICU recovery programs, which could be the target of future intervention refinement.

Post-intensive care syndrome: impact, prevention, and management.

Post-intensive care syndrome (PICS): inpatient prevention and outpatient recognition are essential http://bit.ly/2GCgz1q.

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.

Key mechanisms by which post-ICU activities can improve in-ICU care: results of the international THRIVE collaboratives.

OBJECTIVE: To identify the key mechanisms that clinicians perceive improve care in the intensive care unit (ICU), as a result of their involvement in post-ICU programs. METHODS: Qualitative inquiry via focus groups and interviews with members of the Society of Critical Care Medicine's THRIVE collaborative sites (follow-up clinics and peer support). Framework analysis was used to synthesize and interpret the data. RESULTS: Five key mechanisms were identified as drivers of improvement back into the ICU: (1) identifying otherwise unseen targets for ICU quality improvement or education programs-new ideas for quality improvement were generated and greater attention paid to detail in clinical care. (2) Creating a new role for survivors in the ICU-former patients and family members adopted an advocacy or peer volunteer role. (3) Inviting critical care providers to the post-ICU program to educate, sensitize, and motivate them-clinician peers and trainees were invited to attend as a helpful learning strategy to gain insights into post-ICU care requirements. (4) Changing clinician's own understanding of patient experience-there appeared to be a direct individual benefit from working in post-ICU programs. (5) Improving morale and meaningfulness of ICU work-this was achieved by closing the feedback loop to ICU clinicians regarding patient and family outcomes. CONCLUSIONS: The follow-up of patients and families in post-ICU care settings is perceived to improve care within the ICU via five key mechanisms. Further research is required in this novel area.

Satisfaction in Intensive Care Unit Telemedicine Programs.

For well over a decade, intensive care unit (ICU) telemedicine programs have been providing care to patients and families and an invaluable service to many receiving sites that are otherwise outside the traditional reach of high-quality critical care. It will be important that during this growth, outcomes regarding the unique services provided by ICU telemedicine are accurately measured, not the least of which is nursing, provider, and patient and family satisfaction. More work is required to ensure that the voices of those most intimately affected by ICU telemedicine services are heard and that programs are evaluated and adapted in response to these outcomes.

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.