Four Decades of Intensive Care Unit Design Evolution and Thoughts for the Future.

Intensive care unit (ICU) design has changed since the mid-1980s. Targeting timing and incorporation of the dynamic and evolutionary processes inherent in ICU design is not possible nationally. ICU design will continue evolving to incorporate new concepts of best design evidence and practice, better understandings of the needs of patients, visitors and staff, unremitting advances in diagnostic and therapeutic approaches, ICU technologies and informatics, and the ongoing search to best fit ICUs within greater hospital complexes. As the ideal ICU remains a moving target; the design process should include the ability for an ICU to evolve into the future.

Advocating for the Vulnerable: The Clinical Nurse Specialist and Nursing Home Reform.

INTRODUCTION: Nursing homes have been disproportionally affected by the COVID-19 pandemic, particularly because of resident vulnerability, inadequate staffing, and poor quality of care. CURRENT STATE: Despite billions of dollars in funding, nursing homes often do not meet minimum federal staffing requirements and are frequently cited for infection prevention and control deficiencies. These factors significantly contributed to resident and staff deaths. For-profit nursing homes were associated with more COVID-19 infections and deaths. Nearly 70% of US nursing homes are for-profit ownership, where quality measures and staffing levels are often lower than their nonprofit counterparts. Nursing home reform is urgently needed to improve staffing and care quality in these facilities. Some states, such as Massachusetts, New Jersey, and New York, have made legislative progress in establishing standards for nursing home spending. The Biden Administration has also announced initiatives, through the Special Focus Facilities Program, to improve nursing home quality and the safety of residents and staff. Concurrently, the "National Imperative to Improve Nursing Home Quality" report from the National Academies of Science, Engineering, and Medicine made specific staffing recommendations, including an increase in direct care registered nurse coverage. CONCLUSION: There is an urgent need to advocate for nursing home reform by partnering with congressional representatives or supporting nursing home legislation to improve care for this vulnerable patient population. Adult-gerontology clinical nurse specialists have an opportunity to leverage their advanced knowledge and unique skill set to lead and facilitate change to improve quality of care and patient outcomes.

Interfacility Transport of Critically Ill Patients.

OBJECTIVES: To assess recent advances in interfacility critical care transport. DATA SOURCES: PubMed English language publications plus chapters and professional organization publications. STUDY SELECTION: Manuscripts including practice manuals and standard (1990-2021) focused on interfacility transport of critically ill patients. DATA EXTRACTION: Review of society guidelines, legislative requirements, objective measures of outcomes, and transport practice standards occurred in work groups assessing definitions and foundations of interfacility transport, transport team composition, and transport specific considerations. Qualitative analysis was performed to characterize current science regarding interfacility transport. DATA SYNTHESIS: The Task Force conducted an integrative review of 496 manuscripts combined with 120 from the authors' collections including nonpeer reviewed publications. After title and abstract screening, 40 underwent full-text review, of which 21 remained for qualitative synthesis. CONCLUSIONS: Since 2004, there have been numerous advances in critical care interfacility transport. Clinical deterioration may be mitigated by appropriate patient selection, pretransport optimization, and transport by a well-resourced team and vehicle. There remains a dearth of high-quality controlled studies, but notable advances in monitoring, en route management, transport modality (air vs ground), as well as team composition and training serve as foundations for future inquiry. Guidance from professional organizations remains uncoupled from enforceable regulations, impeding standardization of transport program quality assessment and verification.

A Survey of Tele-Critical Care State and Needs in 2019 and 2020 Conducted among the Members of the Society of Critical Care Medicine.

The study's objective was to assess facilitators and barriers of Tele-Critical Care (TCC) perceived by SCCM members. By utilizing a survey distributed to SCCM members, a cross-sectional study was developed to analyze survey results from December 2019 and July 2020. SCCM members responded to the survey (n = 15,502) with a 1.9% response rate for the first distribution and a 2.54% response rate for the second survey (n = 9985). Participants (n = 286 and n = 254) were almost equally distributed between non-users, providers, users, and potential users of TCC services. The care delivery models for TCC were similar across most participants. Some consumers of TCC services preferred algorithmic coverage and scheduled rounds, while reactive and on-demand models were less utilized. The surveys revealed that outcome-driven measures were the principal form of TCC performance evaluation. A 1:100 (provider: patients) ratio was reported to be optimal. Factors related to costs, perceived lack of need for services, and workflow challenges were described by those who terminated TCC services. Barriers to implementation revolved around lack of reimbursement and adequate training. Interpersonal communication was identified as an essential TCC provider skill. The second survey introduced after the onset pandemic demonstrated more frequent use of advanced practice providers and focus on performance measures. Priorities for effective TCC deployment include communication, knowledge, optimal operationalization, and outcomes measurement at the organizational level. The potential effect of COVID-19 during the early stages of the pandemic on survey responses was limited and focused on the need to demonstrate TCC value.

The Kaiser Permanente Northern California Advance Alert Monitor Program: An Automated Early Warning System for Adults at Risk for In-Hospital Clinical Deterioration.

BACKGROUND: In-hospital deterioration among ward patients is associated with substantially increased adverse outcome rates. In 2013 Kaiser Permanente Northern California (KPNC) developed and implemented a predictive analytics-driven program, Advance Alert Monitor (AAM), to improve early detection and intervention for in-hospital deterioration. The AAM predictive model is designed to give clinicians 12 hours of lead time before clinical deterioration, permitting early detection and a patient goals-concordant response to prevent worsening. DESIGN OF THE AAM INTERVENTION: Across the 21 hospitals of the KPNC integrated health care delivery system, AAM analyzes electronic health record (EHR) data for patients in medical/surgical and telemetry units 24 hours a day, 7 days a week. Patients identified as high risk by the AAM algorithm trigger an alert for a regional team of experienced critical care virtual quality nurse consultants (VQNCs), who then cascade validated, actionable information to rapid response team (RRT) nurses at local hospitals. RRT nurses conduct bedside assessments of at-risk patients and formulate interdisciplinary clinical responses with hospital-based physicians, bedside nurses, and supportive care teams to ensure a well-defined escalation plan that includes clarification of the patients' goals of care. SUCCESS OF THE INTERVENTION: Since 2019 the AAM program has been implemented at all 21 KPNC hospitals. The use of predictive modeling embedded within the EHR to identify high-risk patients has produced the standardization of monitoring workflows, clinical rescue protocols, and coordination to ensure that care is consistent with patients' individual goals of care. An evaluation of the program, using a staggered deployment sequence over 19 hospitals, demonstrates that the AAM program is associated with statistically significant decreases in mortality (9.8% vs. 14.4%), hospital length of stay, and ICU length of stay. Statistical analyses estimated that more than 500 deaths were prevented each year with the AAM program. LESSONS LEARNED: Unlocking the potential of predictive modeling in the EHR is the first step toward realizing the promise of artificial intelligence/machine learning (AI/ML) to improve health outcomes. The AAM program leveraged predictive analytics to produce highly reliable care by identifying at-risk patients, preventing deterioration, and reducing adverse outcomes and can be used as a model for how clinical decision support and inpatient population management can effectively improve care.

Development of paediatric critical care in northwestern Nigeria: Initial implementation with a needs assessment model.

INTRODUCTION: There is high paediatric morbidity and mortality in northwestern Nigeria, attributable in part to vaccine-preventable illnesses and lack of comprehensive training of medical and nursing staff in the healthcare delivery of paediatric critical care. Pediatric Universal Life-Saving Effort Inc. (PULSE), a New York-based nonprofit organisation with a mission to develop paediatric critical care in resource-limited settings, collaborated with Aminu Kano University Teaching Hospital to decrease the gaps in knowledge and skills of medical and nursing personnel. The joint effort also aims to address and remove barriers to the delivery of paediatric critical care in northwestern Nigeria. The primary objective was to perform a needs assessment for paediatric intensive care resources in northwestern Nigeria, identify barriers to delivering these services, and designate a hub for the development of paediatric critical care educational programs for healthcare professionals. METHODS: An anonymous survey was designed and distributed using SurveyMonkey® online software to medical and nursing staff from nine healthcare institutions in northwestern Nigeria. RESULTS: Analysis from 67 responses revealed that care delivered to critically ill paediatric patients was by anaesthesiologists (77%), pediatricians (26%), and adult intensive care specialists (10%). The acquisition of clinical skills was perceived to be an essential need (65%), followed by adequate staffing of critical care units (19%), continuing medical and nursing education (13%), and availability of medical equipment (3%). DISCUSSION: There is an identified need for paediatric critical care training and resources in northwestern Nigeria. CONCLUSION: The needs assessment conducted has provided important results that will form the basis for building staff capacity and training programs for paediatric critical care in northwestern Nigeria.