Perceptions Regarding the SARS-CoV-2 Pandemic’s Impact on Neurocritical Care Delivery: Results From a Global Survey

As of August 10, 2021, the SARS-CoV-2 (COVID-19) pandemic had affected >200 million individuals across 188 countries; 3.9 million deaths had been reported worldwide since the start of the pandemic.1 With up to 38% of COVID-19 patients requiring admission to an intensive care unit (ICU), and 75% to 88% of critically ill COVID-19 patients requiring mechanical ventilation,2–7 the pandemic has necessitated changes to the structure and function of critical care services in hospitals and health care systems worldwide. The delivery of care to patients requiring neurological/neurosurgical critical care (hereby referred to as NCC patients) may be disrupted as scarce neurocritical care resources were reallocated due to shifting priorities8,9 in preparation for managing projected surges of patients with COVID-19 disease.10

NCC patients may be admitted to a dedicated neurocritical care unit (NCCU) or a mixed-general intensive care unit (gen-ICU).11 Although the Neurocritical Care Society9 and the American Academy of Neurology12 provided urgent guidelines for maintaining care to critically ill neurological and neurosurgical patients during a pandemic, and despite initiatives to preserve care for NCC patients,13–21 the global impact of the pandemic on the delivery of neurocritical care is unknown.12,22 We conducted an international survey-based study to examine perceptions of neurocritical care providers regarding the impact of the pandemic on neurocritical care delivery. We inquired about the following metrics: changes to preexisting NCCU/gen-ICU location, ICU staffing, ICU admissions, critical care medication shortages, diagnostic testing, ancillary services, and research and academic activity. We specifically explored the global impact of the pandemic based on World Bank country income level divided into low/middle income countries (LMICs) and high-income countries (HICs), presence of a dedicated NCCU, and surge status. The primary goal of the study was to determine the perceived impact of the COVID-19 pandemic on neurocritical care delivery worldwide, and to provide information to optimize care delivery planning for future pandemic scenarios.

METHODS

This study received approval from the institutional review board of the University of Washington (STUDY00010502). Response to the survey implied consent to participate in the study.

Study Design, Participants, and Sample Size

A 176-question survey available in English, Spanish, and Brazilian Portuguese was developed using the Institute of Translational Health Sciences’ REDCap database management system. Survey items covered the Neurocritical Care Society’s recommendations on neurocritical care resource utilization in a pandemic.9 The full questionnaire is available in the supplementary material (Supplemental Digital Content [SDC] 1: Survey questionnaire, https://links.lww.com/JNA/A461). The survey was pilot-tested amongst members of the NCC-COVID study project committee. Our target population was healthcare providers that routinely deliver critical care to neurological and neurosurgical patients,11,23 with responses limited to one provider per hospital. The survey was disseminated through large established networks including neurocritical care fellowship directors,24 the Latin-American Brain Injury Consortium (LABIC),25 and Sociedad Argentina De Terapia Intensiva (SATI, Argentina),26 in wide geographical locations (North America, Latin America, Europe, Asia, Africa, Middle East, and Oceania).

Representatives from 323 hospitals received 5 emails between July 10, 2020 and September 30, 2020, inviting participation. The email invitation described the purpose of the study, emphasized the importance of obtaining a global perspective, and highlighted that participation was voluntary and without any financial incentive. The survey participants were made aware that their responses would be included in this study and that their response implied consent to participate. A follow-up semistructured interview was conducted between September 2020 and March 2021 (SDC 2: Semi-structured interview questionnaire, https://links.lww.com/JNA/A462). The response rate to the initial survey was defined as the return of completed surveys from recipients of the email invitations that did not bounce back because of incorrect e-mail addresses.

Statistical Analysis

Descriptive statistics (count, percentages) were used to report categorical variables. Continuous data are presented as mean (SD) or median (interquartile range [IQR]). Differences in observations between LMICs and HICs,27 between NCCU and gen-ICU,11 and self-reported first COVID-19 surge status (surge vs. no surge) were examined using the Fisher exact test and reported as relative risk (RR) with 95% confidence intervals (CI). A multivariate nominal logistic fit model included World Bank country income level, NCCU, and first surge status to generate odds ratios (ORs). We used the Dedoose software application28 to codify free-text responses into six principal and 25 minor codes for the follow-up semi-structured interview. Stata version 1529 was used for statistical analysis. A P-value <0.05 indicated statistical significance.

RESULTS

Respondents from 253 hospitals (78.3% response rate) located in 47 countries (Fig. 1) completed the initial survey questionnaire; 115 respondents (45.4%) were from LMICs, 138 respondents (54.5%) represented institutions with a dedicated NCCU, and 199 (78.6%) had experienced a first surge of COVID-19 patients by the time of their response. The respondents represented hospitals in North America (n=83, 32.8%), Latin America (n=59, 23.3%), Europe (n=44, 17.4%), Asia (n=41, 16.2%), Africa (n=12, 4.7%), and Oceania (n=8, 3.2%). The majority of respondents represented academic medical centers (n=219, 78%) with >600 hospital beds (n= 139, 55%) and 1 to 100 ICU beds (n=186, 74%). The survey was most often completed by physicians (n=245, 96.9%), and a small proportion by pharmacists (n=7, 2.8%) and nurses (n=1, 0.4%), all representing their institution’s general or neurocritical care service. Institutional and critical-care team characteristics of the participating hospitals are presented in Table 1. Of the 70 nonrespondents, 23 (32.8%) were located in LMICs.

F1FIGURE 1:

World map showing the location of the 253 hospitals in 47 countries participating in the neurocritical care-COVID study.

TABLE 1 - Institutional and Critical Care Team Characteristics of the 253 Hospitals Participating in the Study by Country Income Level, Dedicated Neurocritical Care Unit Status, and by Surge of COVID-19 Patients Institutional Characteristics Overall Low/Middle-income Countries High-income Countries Dedicated Neurocritical Care Unit (NCCU) General-mixed ICU (Gen-ICU) Surge of COVID-19 Patients No-surge of COVID-19 Patients Total, n (%) n=253 115 (45.5) 138 (54.5) 138 (54.5) 115 (45.5) 199 (78.6) 54 (21.3) Hospital beds  1-200 31 (12.3) 29 (25.2) 2 (1.5) 8 (5.8) 23 (20) 19 (9.6) 12 (22.2)  201-400 34 (13.4) 24 (20.9) 10 (7.3) 10 (7.3) 24 (20.9) 24 (12.1) 10 (18.5)  401-600 49 (19.4) 18 (15.7) 31 (22.5) 29 (21) 20 (17.4) 40 (20.1) 9 (16.7)  >600 139 (54.9) 44 (38.3) 95 (68.8) 91 (65.9) 48 (41.7) 116 (58.3) 23 (42.6) ICU beds  1-50 108 (42.9) 76 (66.1) 32 (23.4) 27 (19.7) 81 (70.4) 78 (39.2) 30 (56.6)  51-100 78 (30.9) 23 (20) 55 (40.2) 53 (38.7) 25 (21.7) 67 (33.7) 11 (20.8)  101-150 34 (13.5) 6 (5.2) 28 (20.4) 30 (21.9) 4 (3.5) 27 (13.6) 7 (13.2)  >150 32 (12.7) 10 (8.7) 22 (16.1) 27 (19.7) 5 (4.4) 27 (13.6) 5 (9.4) Academic Medical Center 219 (86.6%) 89 (77.4%) 130 (94.2) 93 (80.9) 126 (91.3) 172 (86.4) 47 (87) Level I NCCU* 198 (77.5) 72 (62.6) 124 (89.9) 120 (87) 76 (66.1) 156 (78.4) 40 (74.1) Comprehensive Stroke Center 123 (48.6) 34 (29.6) 89 (64.5) 77 (55.8) 46 (40) 103 (51.8) 20 (37) Level I Trauma Center 119 (47) 32 (27.8) 87 (63) 76 (55.1) 43 (37.4) 96 (48.2) 23 (42.6) NCCU beds (11-20 beds) 53 (38.4) 9 (20.4) 44 (46.8) 53 (38.7) NA 41 (37.3) 12 (42.9) Gen-ICU beds (11-20 beds) 36 (31.3) 29 (40.3) 7 (16.3) NA 35 (31) 25 (27.8) 11 (44) Neurocritical Care Fellowship 97 (38.3) 24 (20.9) 73 (52.9) 80 (58) 17 (14.8) 80 (40) 17 (31.5) Attending intensivists in NCCU  Neurology 118 (46.6) 24 (20.9) 94 (68.1) 91 (65.9) 27 (23.5) 96 (48.2) 22 (40.7)  Anesthesiology 92 (36.3) 27 (23.5) 65 (47.1) 70 (50.7) 22 (19.1) 74 (37.2) 18 (33.3) Pulmonary 66 (26.1) 36 (31.3) 30 (21.7) 31 (22.5) 35 (30.4) 53 (26.6) 13 (24.1)  General Surgery 45 (17.8) 23 (20) 22 (15.9) 28 (20.3) 17 (14.8) 40 (20) 5 (9.3)  Emergency Medicine 35 (13.8) 9 (7.8) 26 (18.8) 25 (18.1) 10 (8.7) 30 (15.1) 5 (9.3)  Pediatrics 5 (2%) 5 (4.4) 0 1 (0.7) 4 (3.5) 4 (2) 1 (1.9) Attending intensivist in Gen-ICU  Pulmonary 93 (36.8) 52 (45.2) 41 (29.7) 26 (18.8) 67 (58.3) 73 (36.7) 20 (37)  Anesthesiology 75 (29.6) 34 (29.6) 41 (29.7) 26 (18.8) 49 (42.6) 58 (29.2) 17 (31.5)  Emergency Medicine 45 (17.8) 30 (26.1) 15 (10.9) 12 (8.7) 33 (28.7) 31 (15.6) 14 (26)  General Surgery 37 (14.6) 16 (13.9) 21 (15.2) 10 (7.3) 27 (23.5) 31 (15.6) 6 (11.1) Other NCCU/gen-ICU staff  Advanced practice providers 170 (67.5) 74 (64.9) 96 (69.6) 101 (73.7) 69 (60) 136 (68.7) 34 (63)  Critical care pharmacist 114 (46.7) 20 (18.7) 94 (68.6) 81 (61.8) 33 (29.2) 94 (48.7) 20 (39.2)  Neurocritical care fellows 97 (38.3) 24 (20.9) 73 (52.9) 80 (58) 17 (14.8) 80 (40.2) 17 (31.5)  Nonneurocritical critical care fellows 149 (58.9) 52 (45.2) 97 (70.3%) 91 (65.9) 58 (50.4) 121 (60.8) 28 (51.9)  Rotating residents 231 (91.3) 96 (83.5) 135 (97.8) 133 (96.4) 98 (85.2) 182 (91.5) 49 (90.7)  Rotating fellows 191 (75.5%) 73 (63.5) 118 (86.1) 120 (87.6) 71 (61.7) 155 (78.3) 36 (66.7)

*Level 1 NCCUs offer a full complement of advanced monitoring, surgical and medical treatments, and have the capability to provide physician fellowship and advanced practice professional training as defined by the Neurocritical Care Society.

gen-ICU indicates general/mixed critical care unit; ICU, intensive care unit; NCCU, dedicated neurocritical care unit.


Epidemiology of the COVID-19 Patient Surge

At the time of the survey, most respondents (199, 79%) were in the midst of surge of COVID-19 patients or had already experienced a first surge. The average duration of the first surge was longer in HICs compared with LMICs (4.8, IQR 2.4 vs. 2.6, IQR 3.2 wk, respectively; P<0.001). During the follow-up semi-structured interview survey, 75 (52%) respondents reported having experienced 2 or more surges at their hospitals. These self-reported surge data aligned with publicly available data from the Institute for Health Metrics and Evaluation30 and World Health Organization31 on temporal trends in COVID-19 deaths by country (SDC 3: Surges in SARS-COV-2 deaths between 2020 and 2021 by country income level, https://links.lww.com/JNA/A463).

Changes to Neurocritical Care Delivery

Changes to neurocritical care delivery by World Bank country income level, NCCU and COVID-19 surge status are shown in Figure 2. Independent of country income level, NCCU and surge status, hospitals reported reductions in NCCU admissions (67%) and critical care drug shortages (69%), including shortages of analgesics and sedatives (n=149, 59%), neuromuscular blocking agents (n=105, 42%), bronchodilators (n=50, 20%), anti-epileptic drugs (n=50, 20%), and anti-hypertensive agents (n=14, 6%). In univariate analysis, hospitals in LMICs were more likely to report a shortage of anti-epileptic drugs (RR, 4.3; 95% CI, 2.9-7.9), respondents who had experienced the first surge were more likely to report a shortage of bronchodilators (RR, 2.6; 95% CI, 1.5-4.8), and hospitals with NCCUs were more likely to report a shortage of neuromuscular blocking agents (RR, 2.1; 95% CI, 1.3-3.5) (SDC 4: Impact of the SARS-CoV-2 pandemic on drug shortages by country income level, dedicated NCCU and surge of COVID-19 patients, https://links.lww.com/JNA/A464).

F2FIGURE 2:

Univariate analysis highlighting changes to neurocritical care delivery by country income level, dedicated neurocritical care unit and surge of COVID-19 patient status. gen-ICU indicates general/mixed critical care unit; ICU, intensive care unit; NCCU, dedicated neurocritical care unit.

Respondents commonly reported deviations from standard pharmaceutical practices (n=144, 56%); these included use of bolus/infusion of benzodiazepines (n =90, 34%), enteral opioids for sedation (n=45, 18%), ketamine for analgo-sedation (n=50, 20%), fentanyl infusion (n=45, 18%), remifentanil infusion (n=20, 8%), inhalational anesthetics for sedation (n=3, 3.2%), switching from propofol-based to dexmedetomidine-based sedation (n=50, 20%), and use of nonformulary drugs (n=14, 6%). Other major adjustments included reduction in ancillary services (n=95, 43%), reduction in diagnostic testing (n=154, 61%; SDC 5: Diagnostic testing during the COVID-19 pandemic by country income level, dedicated NCCU and surge status, https://links.lww.com/JNA/A465), temporary cancellation of didactic teaching and other educational opportunities (n=141, 56%), temporary suspension of clinical and basic science research (n=177, 70%), and increased use of telemedicine (n=85, 34%).

Hospitals from LMICs were more likely to report a lack of adequate surge preparedness (OR, 3.2; 95% CI, 1.8-5.8), less likely to report conversion of non-ICU beds to ICU beds (OR, 0.5; 95% CI, 0.3-0.9), and more likely to report struggling to return to prepandemic standards of care (OR, 12.2; 95% CI, 4.4-34). Hospitals that had experienced the first surge of COVID-19 patients were more likely to report conversion of NCCU/gen-ICU beds to COVID-ICU beds (OR, 3.7; 95% CI, 1.9-7.3), conversion of non-ICU beds to ICU beds (OR, 3.4; 95% CI, 1.8-6.5), and deviations from standard critical care pharmaceutical practices (OR, 4.2; 95% CI, 2.1-8.2). Hospitals with a dedicated NCCU were less likely to report conversion to a COVID-ICU (OR, 0.5; 95% CI, 0.3-0.9) and less likely to report conversion of non-ICU to ICU beds (OR, 0.5; 95% CI, 0.3-0.9) (Fig. 2).

Semi-structured Interview

Of the 253 respondents to the initial survey, 148 (58%) participated in the follow-up semi-structured interview; 57 (39%) were from LMICs, 93 (63%) represented hospitals with a dedicated NCCU, 107 (73%) had experienced a first surge, 52 (36%) had experienced only one surge, and 75 (52%) had experienced 2 or more surges.

Respondents from 142 hospitals (96% of the participants in the semistructured interview) reported that the pandemic had substantially impacted neurocritical care delivery in their institution. The major themes that emerged from the semistructed interview were: diversion of NCC patients, admission of NCC patients to a non-NCCU or to an “isolation ICU,” a sentiment/perception that NCC patients might not have received the standard of care traditionally provided during the golden hour of a neurological emergency, burnout/low morale amongst health care providers, changes in nursing care (loss of supplemental nurse staffing pool/junior nurses not familiar with NCC patients), delay in presentation to hospital or for diagnostic testing, limited family visitation/mistrust of providers, and lack of exposure of residents/students to neurological cases and neurological examinations.

The majority of respondents (n=103, 70%) reported impact on research activities; 79 (55%) reported a temporary suspension of most research activities during the initial surge, 91 (63%) reported prioritization of COVID-19 research, and 86 (46%) reported reduced screening and enrollment in clinical trials. By the time of the interview, 85 (56%) respondents reported that research had not returned to prepandemic levels in their institution. Eighty-six (60%) respondents reported that the pandemic had affected the teaching of medical students and residents, and 81 (56%) that academic productivity of the critical care faculty had suffered because of the pandemic.

Only 37 (26%) respondents reported that they were better prepared to handle surges and only 26 (18%) that there was improved cohorting of COVID-19 patients in their hospitals. However, respondents also reported that the pandemic had changed some of their systems for the better; “virtual meetings were a possibility” (n=93, 65%), there was “improved critical care crosstalk between various ICUs and teams” (n=22, 15%), and “neurocritical care practitioners were more comfortable in managing severe injury and able to use new drugs for sedation” (n=13, 9%). One hundred twenty-four respondents (86%) across country income level, NCCU and surge status reported that they “struggled with lack of a new provider pool and were not able to add new equipment/space” (Fig. 2). Other areas highlighted from the semi-structured interviews are summarized in Figure 3; specific quotations related to the major themes (divided into opportunities and challenges) are included in the supplementary material (SDC 6: Quotations related to the impact of the SARS-CoV-2 pandemic on neurocritical care delivery, https://links.lww.com/JNA/A466).

F3FIGURE 3:

Themes regarding the impact of the COVID-19 pandemic on neurocritical care delivery. ICU indicates intensive care unit; NCC, neurocritical care.

DISCUSSION

This global survey explored the impact of COVID-19 pandemic on delivery of care to patients requiring neurological/neurosurgical critical care, stratified by World Bank country income level, presence of dedicated NCCU and COVID-19 surge status. The main findings are: (1) independent of country income level, dedicated NCCU and surge status, hospitals across the world reported fundamental changes to neurocritical care delivery, including reductions in critical resources, diagnostic testing, education and academic activities, during the pandemic; (2) hospitals in LMICs were more likely to be insufficiently prepared to deal with COVID-19 surges and struggled to return to prepandemic standards than those in HICs; (3) dedicated NCCUs were less likely to be converted partially or completely to a COVID-19 ICU; (4) hospitals experiencing surge(s) were more likely to accommodate patients with COVID-19 by conversion of NCCUs and gen-ICUs to COVID-ICUs and by increasing the number of non-ICU beds, and were more likely to report drug shortages and deviation from standard critical care pharmaceutical practices; (5) the pandemic continues to challenge the healthcare workforce by introducing conflicts in care paradigms while at the same time presenting opportunities to improve future care delivery, and; (6) the pandemic affected healthcare provider morale with many survey respondents self-reporting concerns about burnout. This is the first description of the global impact of the COVID-19 pandemic on neurocritical care delivery.

Impact of the COVID-19 Pandemic on Neurocritical Care Delivery by Country Income Level

Respondents from LMICs were more likely to report inadequate surge preparedness and a struggle to return to pre-pandemic standards of care than those from HICs. The pandemic may affect hospitals from LMICs differently, partly because of baseline differences in availability of health care resources and neurocritical care organizations compared with HICs.11 Study participants raised concerns regarding disruption of access to healthcare in already challenged health systems in LMICs.32 Physicians may face the arduous task of triaging resources based on a patient’s age, premorbid status and disease severity. Moreover, once a NCC patient is admitted to an ICU in a LMIC, they may not be routinely cared for by a neurocritical care specialist because dedicated NCCUs are less prevalent in LMICs.11 While the impact of the COVID-19 pandemic on NCC patient outcomes based on country income level status is not known, non-neurological patients in LMICs have been reported to have worse outcomes than those in HICs during the pandemic.33 Moving forwards, the information gathered in this study complements other reports, and supports calls for policymakers and governments to advocate for investment in critical care health service delivery.

Impact of the COVID-19 Pandemic on Neurocritical Care Delivery by Dedicated NCCU Status

Our study found that dedicated NCCUs (predominantly present in HICs) were less likely than gen-ICUs to be partially or completely converted to a COVID-ICU. However, many respondents perceived that NCC patients might not have received the usual standards of care traditionally provided during the golden hour of a neurological emergency compared with prepandemic standards of care. This study reignites the discussion of whether outcomes are improved when NCC patients are admitted to a dedicated NCCU13,34,35 or managed by a dedicated neurocritical care service.36 The association between admissions during the COVID-19 surge and NCC patient outcomes deserves further investigation, especially as this study suggests that the presence of a dedicated NCCU may help preserve care for patients requiring neurological and neurosurgical critical care and prevent marginalization.

Impact of the COVID-19 Pandemic on Neurocritical Care Delivery by Surge Status

Our study findings are in agreement with other reports on COVID-19 surges.37 When facing the anticipated first surge, many ICUs shifted priorities to accommodate COVID-19 patients,38 balancing the care of critically ill COVID-19 and non-COVID-19 patients.39 There are conflicting data on disease severity and mortality in the pandemic period compared with prepandemic trends.40–43 Early in the pandemic, critical care capacity for NCC patients was preserved by a temporary suspension of elective non-neurological and neurological surgeries, including elective endovascular, cranioplasty, and open cerebrovascular procedures.44,45 Strategies to generate additional staffing for ICU teams included: (a) reallocation or redeployment of existing ICU clinicians by specialty and subspecialty training; (b) utilization of non-ICU based clinicians, such as registered certified nurse anesthetists, to participate in routine critical care delivery; (c) return to work of retired physicians and nurses,9 and; (d) recruitment of traveler nurses or per diem personnel. Medication shortages were reported by more than two-thirds of respondents’ that had experienced a first surge of COVID-19 patients; the reported pharmaceutical practices confirmed shortages and strategies to mitigate shortages as previously published.46–51 In light of the increasing necessity to navigate medication shortages in the ICU, including alternative medication administration strategies, formulary management, and medication procurement from nontraditional manufacturers or wholesalers, the pandemic has confirmed the importance of the role of critical care pharmacists.48 Further analysis of the impact of the significant changes in patient volume and hospital services on morbidity and mortality is warranted.

According to our study participants, the impact of the pandemic was felt long after the first surge when many hospitals struggled to return to prepandemic care standards. We hypothesize that in addition to the location of a hospital by country income level status, the peak (number of deaths) and the tail (how long) of the surge may have played an important role in how quickly hospitals could recover from the effects of a surge in COVID-19 patients.

Preserving Neurocritical Care Delivery Amidst Global Health Crises

The results of our study validate pandemic preparedness recommendations.9 While the pandemic tested resolve and resilience, it also provided opportunities for improvements to prepandemic standards of critical care workflow. There was a wide range of emotions expressed related to the pandemic’s impact and, as much as there are opportunities, there remain conflicts. The major opportunities include implementation of tele-medicine into neurocritical care services for patients admitted to hospitals with limited or no infrastructure to handle neurocritical care emergencies. Widespread use and familiarity with virtual conferencing have provided opportunities to build bridges with local, regional, national and international experts. Hospitals may consider investments in creating healthcare resource pools allowing subspeciality clinicians to focus on neurocritical care while maintaining adequate resources for COVID-19 patients. There are significant challenges to preserving care standards in resource-limited countries, and this is something to which the world needs to pay close attention.

Strengths and Limitations

The main strengths of this study are the gathering of information from all 7 geographical regions of the world, the high response rate and clustering of results by the institution. The limitations include those of a survey-based study, specifically that our results represent perceptions regarding critical care delivery which may be biased. Respondents from different regions may over/underestimate both positive and negative findings based on cultural biases and differences in perceptions, and have a tendency to over or under-report shortages and concerns. Also, though we made every effort to obtain information over a long period to account for the timing of the various COVID-19 surges that occurred worldwide, differences in timing between the survey and individual institutional surges may have affected the results due to recall bias. The self-reported data related to the surges are corroborated by data received from the Institute for Health Metrics and the World Health Organization regarding the worldwide distribution of deaths associated with COVID-19. Most respondents reported working primarily at large academic medical centers, so our results may not be generalizable to all health care institutions. Further quantitative studies from individual institutions as well as at a regional and national levels are needed. The survey’s primary language was English. Although we presented translated versions to respondents from non–English-speaking countries, this may have affected the overall response rate and the responses to survey questions from countries where English is not the first language. Since most of the participants were physicians, the perspectives of nurses, pharmacists and other critical care clinicians and hospital administration leadership are unknown and deserve further examination. Given the length of the survey, questions were asked only once and in a specific order, with limited internal consistency testing. The nature of the response options may lend itself to acquiescence bias. The more qualitative questions (eg, whether or not adequate time was available to plan) may be viewed as highly subjective, and responses to them may vary individually and culturally even within a single country.

CONCLUSIONS

This study reports the perceived impact of the COVID-19 pandemic on global neurocritical care delivery; it highlights shortcomings in health care infrastructure, the importance of pandemic preparedness, and the key concerns of neurocritical care providers. Our findings can serve as a guideline to prepare for future surges, especially given the likelihood of emergence of more transmissible variants of SARS-CoV-2.

ACKNOWLEDGMENTS

The authors would like to acknowledge the following prelicensure nursing students from the Rush University College of Nursing who assisted with data collection: Brielle Cobb, Troy Meikle, Andrei Collins, Courtney Adler, Laurencia Ouedraogo, Nhung Vo, Andrew McFee, Kellie Garvey, Jennifer Goodfriend, Maria Menjivar & Sabrina Jose, and the following for contributing data: Fabricio J. Vera, Ecuador, Alexandra M. Saraguro Orozco, Ecuador, Luis F. Mamani Cruz, Paraguay, María A. Cruz, Brazil, Sotomayor Ramírez Francisco J., Argentina, Nadia S. Garófalo Sarro, Argentina, Joel IS Villalba, Argentina.

APPENDIX

NCC-COVID Study Collaborators: North America: H.E. Hinson, Oregon Health Sciences University, Portland, OR. Casey M. Olm-Shipman, University of North Carolina, Chapel Hill, NC. Ivan Da Silva, Rush University Medical Center, Chicago, IL. Anna M. Cervantes-Arslanian, Boston University School of Medicine, Boston, MA. Andrew P. Carlson, The University of New Mexico, Albuquerque, NM. Sanjeev Sivakumar, The University of South Carolina School of Medicine, Greenville, SC. Vishank A. Shah, The University of Arkansas for Medical Sciences, Little Rock, AR. Jordan B. Bonomo, University of Cincinnati, Cincinnati, OH. Kevin W. Hatton, University of Kentucky. Lexington, KY. Gregory Kapinos, NYC Kings County and SUNY Downstate College of Medicine, Brooklyn, NY. Christopher G. Hughes, Vanderbilt University Medical Center, Nashville, TN. Gloria M Rodríguez-Vega, HIMA San Pablo Caguas, San Juan, Puerto Rico. Shraddha Mainali, Ohio State University, Columbus, OH. Cherylee W.J. Chang, The Queen’s Medical Center, Honolulu, HI. Jonathan Dissin, Einstein Medical Center Philadelphia, PA. Jing Wang, Inova Fairfax Hospital, Chantilly, VA. Patrick T Mailloux, Maine Medical Center, ME. Rajat Dhar, Washington University in St. Louis, St. Louis, MO. Bhiken I. Naik, University of Virginia, Charlottesville, VA. Aarti Sarwal, Wake Forest Baptist Health, Winston-Salem, NC. Susanne Muehlschlegel, University of Massachusetts Medical School, Boston, MA. Christa O’Hana S. Nobleza, University of Mississippi Medical Center, Jackson, MS. Angela Hays Shapshak, University of Alabama, Birmingham, AL. David A. Wyler, Thomas Jefferson University Hospital and the Jefferson Hospital for Neuroscience, Philadelphia, PA. Julius Gene S Latorre, SUNY Upstate Medical University, Syracuse, NY. Panayiotis N Varelas, Albany Medical College, Albany NY. Safdar A Ansari, University of Utah, Salt Lake City, UT. Vijay Krishnamoorthy, Duke University, Durham, NC. Shyam S. Rao, Alpert Medical School of Brown University, Providence, RI. Demetrios J Kutsogiannis The University of Alberta, Edmonton, Canada. Ivan Da Silva, Rush University Medical Center, Chicago, IL. Yama Akbari, University of California, Irvine, CA, USA. Kathryn Rosenblatt, Johns Hopkins University School of Medicine, Baltimore, MD. Debra E Roberts, University of Rochester Medical Center, Rochester, NY. Jennifer A. Kim, Yale University, New Haven, CT. Ayush Batra, Feinberg School of Medicine, Northwestern University, Chicago, IL. Vasisht Srinivasan, University of Cincinnati, Cincinnati. OH. Craig A. Williamson, University of Michigan, Ann Arbor, MI. Xuemei Cai, Tufts Medical Center, Boston, MA. Pravin George, Cleveland Clinic Cerebrovascular Center, Cleveland, OH. Michael A. Pizzi, University of Florida, Gainesville, FL. K H Kevin Luk, Mayo Clinic, Arizona, USA. Karen Berger, New York-Presbyterian Hospital/Weill Cornell Medical Center, New York City, NY. Marc-Alain Babi, University of Florida, Gainesville, FL. Karen G. Hirsch, Stanford University, Stanford, CA. Cappi C. Lay, Mount Sinai School of Medicine, New York City, NY. Gabriel V. Fontaine, Intermountain Healthcare, Intermountain Medical Center, Ariane Lewis, NYU Langone Medical Center, New York City, NY. Amanda B Lamer-Rosen, Cedars-Sinai Medical Center, Los Angeles, CA. Atul Kalanuria, University of Pennsylvania, Philadelphia, PA. Ayaz M. Khawaja, Wayne State University, Detroit, MI. Alejandro A. Rabinstein, Mayo Clinic, Rochester, MN. Charles M. Andrews, Medical University of South Carolina, SC. Neeraj Badjatia, University of Maryland School of Medicine, Baltimore, MD. David L. McDonagh, UT Southwestern, TX. Venkatakrishna Rajajee, University of Michigan, Ann Arbor, MI. Keith E. Dombrowski, USF/TGH Tampa General Hospital, Tampa, FL. Justin D. Daniels, University of Kansas Medical Center, Kansas City, KS. Kristine H O’Phelan, University of Miami, Miller School of Medicine, Miami, FL. Kara L. Birrer, Orlando Regional Medical Center/Orlando Health, Orlando, FL. Nicole C Davis, The Mount Sinai Hospital, NY. Kaylee K. Marino, Brigham and Women’s Hospital, Boston, MA. Fanny Li, University of California San Francisco, CA. Archit Sharma University of Iowa Hospitals and Clinics, Iowa City, IA. Eljim P. Tesoro, University of Illinois Health, Chicago, IL. Ofer Sadan, University School of Medicine, Atlanta GA. Yatin B. Mehta, Geisinger Medical Center, PA. Myles Dustin Boone, Dartmouth Hitchcock Medical Center, NH. Colleen Barthol, University Health System, San Antonio, TX. Hubiel J. López Delgado, CEDIMAT, Dominican Republic. García Arellano Maricela, Instituto Mexicano del Seguro Social Centenario Hospital Miguel Hidalgo, Mexico. Julio C. Mijangos-Mendez, Hospital Civil de Guadalajara “Fray Antonio Alcalde”, Guadalajara, Jalisco Mexico. Jose A. Lopez-Pulgarin, Hospital Civil de Guadalajara, Guadalajara, México. Luke A. Terrett, Saskatchewan Health Authority, University of Saskatchewan, Saskatchewan, Canada. Andrea Rigamonti, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Canada. Philippe Couillard, University of Calgary, Calgary, Canada. Michaël Chassé, University of Montreal Health Center (CHUM), Montreal

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