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1.
JAMA Netw Open ; 5(3): e221744, 2022 03 01.
Article in English | MEDLINE | ID: covidwho-1739100

ABSTRACT

Importance: Crisis standards of care (CSOC) scores designed to allocate scarce resources during the COVID-19 pandemic could exacerbate racial disparities in health care. Objective: To analyze the association of a CSOC scoring system with resource prioritization and estimated excess mortality by race, ethnicity, and residence in a socially vulnerable area. Design, Setting, and Participants: This retrospective cohort analysis included adult patients in the intensive care unit during a regional COVID-19 surge from April 13 to May 22, 2020, at 6 hospitals in a health care network in greater Boston, Massachusetts. Participants were scored by acute severity of illness using the Sequential Organ Failure Assessment score and chronic severity of illness using comorbidity and life expectancy scores, and only participants with complete scores were included. The score was ordinal, with cutoff points suggested by the Massachusetts guidelines. Exposures: Race, ethnicity, Social Vulnerability Index. Main Outcomes and Measures: The primary outcome was proportion of patients in the lowest priority score category stratified by self-reported race. Secondary outcomes were discrimination and calibration of the score overall and by race, ethnicity, and neighborhood Social Vulnerability Index. Projected excess deaths were modeled by race, using the priority scoring system and a random lottery. Results: Of 608 patients in the intensive care unit during the study period, 498 had complete data and were included in the analysis; this population had a median (IQR) age of 67 (56-75) years, 191 (38.4%) female participants, 79 (15.9%) Black participants, and 225 patients (45.7%) with COVID-19. The area under the receiver operating characteristic curve for the priority score was 0.79 and was similar across racial groups. Black patients were more likely than others to be in the lowest priority group (12 [15.2%] vs 34 [8.1%]; P = .046). In an exploratory simulation model using the score for ventilator allocation, with only those in the highest priority group receiving ventilators, there were 43.9% excess deaths among Black patients (18 of 41 patients) and 28.6% (58 of 203 patients among all others (P = .05); when the highest and intermediate priority groups received ventilators, there were 4.9% (2 of 41 patients) excess deaths among Black patients and 3.0% (6 of 203) among all others (P = .53). A random lottery resulted in more excess deaths than the score. Conclusions and Relevance: In this study, a CSOC priority score resulted in lower prioritization of Black patients to receive scarce resources. A model using a random lottery resulted in more estimated excess deaths overall without improving equity by race. CSOC policies must be evaluated for their potential association with racial disparities in health care.


Subject(s)
COVID-19/mortality , Ethnicity/statistics & numerical data , Health Care Rationing/statistics & numerical data , Racial Groups/statistics & numerical data , Residence Characteristics/statistics & numerical data , Standard of Care , Aged , Boston , COVID-19/diagnosis , COVID-19/therapy , Critical Care , Female , Health Priorities , Healthcare Disparities , Hospitalization , Humans , Male , Middle Aged , Organ Dysfunction Scores , Retrospective Studies , Severity of Illness Index , Vulnerable Populations/statistics & numerical data
2.
Jt Comm J Qual Patient Saf ; 48(2): 101-107, 2022 02.
Article in English | MEDLINE | ID: covidwho-1545146

ABSTRACT

BACKGROUND: This study was conducted to measure the impact of a volunteer "Transition Guide" on patient experience and psychological stress during the transition from ICUs to general medical and surgical wards. METHODS: Between July 2017 and February 2020, medical and surgical patients from nine ICUs at a single tertiary care hospital were accompanied by a uniquely trained volunteer Transition Guide to aid them at the time of transfer to general medical/surgical wards, when available. If a Transition Guide was not available, they were transferred without one. The following day, patients were surveyed with a tool assessing overall satisfaction, multiple aspects in the domain of communication, and psychological stress associated with the transition process. When available, family members and ward nurses who admitted patients from the ICU were surveyed. RESULTS: Target enrollment was 300 patients in each group. Due to COVID-19 and institutional restrictions on volunteers, only 264 underwent transfer with a Guide, while 305 transferred without one. Of all patients approached, 95% with a Guide and 96% without a Guide completed the survey. Patients who were accompanied by a Transition Guide reported a better overall transition, better communication, greater understanding, better resolution of concerns, and less stress than those who did not have a Transition Guide (p < 0.05 for all). CONCLUSION: Among a cohort of formerly critically ill patients subsequently transferred to general medical and surgical wards, the presence of a volunteer Transition Guide significantly improved patient experience, enhanced patient communication and understanding, and reduced stress associated with the transfer process. Hospitals may consider this expanded and specialized role for volunteerism in the health care setting to improve patient-centered outcomes.


Subject(s)
COVID-19 , Patient Transfer , Humans , Intensive Care Units , Prospective Studies , SARS-CoV-2 , Volunteers
3.
J Crit Care ; 67: 186-188, 2022 02.
Article in English | MEDLINE | ID: covidwho-1458632

ABSTRACT

The COVID-19 pandemic taxed critical care and its leaders in unprecedented ways. Medical directors, nursing directors, division chiefs and department chairs were forced to lead their staff through a pandemic wrought with personal and professional safety concerns, uncertainty, and more death than most critical care practitioners had ever seen. No leader was fully prepared for the COVID-19 pandemic. Herein, we describe what we believe are the three most important qualities of a leader in times of crisis: presence, transparency, and empathy.


Subject(s)
COVID-19 , Pandemics , Critical Care , Humans , Leadership , Pandemics/prevention & control , SARS-CoV-2
4.
Dimens Crit Care Nurs ; 40(6): 321-327, 2021.
Article in English | MEDLINE | ID: covidwho-1450455

ABSTRACT

BACKGROUND: Prone positioning has been used as an intervention to improve oxygenation in critically ill patients with acute respiratory distress syndrome. During the COVID-19 pandemic, resources were even more limited given a surge in acute respiratory distress syndrome patients, which outstripped intensive care unit (ICU) capacity at many institutions. LOCAL PROBLEM: The purpose of this article is to describe the development and implementation of a proning team during the surge in ICU patients with COVID-19 and to measure the impact of the program through surveys of staff involved. METHODS/INTERVENTIONS: A proning protocol and educational plan was developed. A proning team of redeployed staff was created. A survey of ICU registered nurses and proning team members was used to evaluate the benefits and challenges of the proning team. RESULTS: The proning team was successful in safely performing more than 300 proning and supinating maneuvers for critically ill patients. There is overwhelming support within the institution for a proning team for future COVID-19 surges. DISCUSSION: The development and implementation of the proning team happened quickly to assist with the surge of patients and off-load work from ICU registered nurses. Despite the success of the proning team, more clearly defined roles and expectations, as well as additional education, are needed to further enhance teamwork and workflow. CONCLUSIONS: Creation of the proning team was a creative use of resources that helped manage the large and medically complex patient population. This work may serve as a guide to other health care institutions.


Subject(s)
COVID-19 , Pandemics , Humans , Intensive Care Units , Prone Position , SARS-CoV-2
5.
J Intensive Care Med ; 36(6): 704-710, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1145419

ABSTRACT

PURPOSE: Critical care transport is associated with a high rate of adverse events, and the risks and outcomes of transporting critically ill patients during the COVID-19 pandemic have not been previously described. MATERIALS AND METHODS: We performed a retrospective review of transports of subjects with suspected or confirmed COVID-19 from sending hospitals to tertiary care hospitals in Boston. Follow-up data were obtained for patients transported between March 1st and April 20th, 2020. RESULTS: Of 254 charts identified, 250 patients were transported. Nine patients (3.5%) had cardiac arrest prior to transport. Twenty-nine (11.6%) had hypotension, 22 (8.8%) had a critical desaturation, and 4 (1.6%) had both en route. Hospital follow-up data were available for 189 patients. Of those intubated during their hospitalization, 44 (25.0%) had died, 59 (33.5%) had been extubated, and 13 (17.6%) had been discharged alive. For the subgroup with prior cardiac arrest, follow-up data available for 6. Of these 6, 2 died and 4 (66.7%) have been discharged alive. CONCLUSIONS: Few patients with COVID-19 had an adverse event in transport. The in-hospital mortality rate was 25%, with a 33.5% extubation rate. Patients resuscitated from cardiac arrest prior to transport had a 66.7% discharge rate among those transported to consortium hospitals.


Subject(s)
COVID-19/mortality , COVID-19/therapy , Critical Care , Transportation of Patients , Adult , Aged , Aged, 80 and over , COVID-19/complications , Female , Hospital Mortality , Hospitalization , Humans , Male , Middle Aged , Patient Transfer , Respiration, Artificial , Retrospective Studies , Young Adult
6.
Crit Care Explor ; 2(12): e0293, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-969228

ABSTRACT

OBJECTIVES: To assess the safety and feasibility of a new protocol for interhospital critical care transport of mechanically ventilated patients in the prone position during the coronavirus disease 2019 pandemic by nurse and paramedic critical care transport teams. DESIGN: Retrospective observational study. SETTING: Single critical care transport agency serving multiple centers in the greater Boston area. PATIENTS: All transports of intubated patients in the prone position with severe hypoxemic respiratory failure secondary to coronavirus disease 2019. INTERVENTIONS: Records were reviewed for patients transported in the prone position. Major adverse events in transport, defined as severe hypoxemia (oxygen saturation < 80% or an absolute decrease in oxygen saturation > 10%), hypotension (mean arterial pressure < 65 mm Hg) not responsive to vasopressors or inotropes, endotracheal tube or vascular catheter dislodgement, and cardiac arrest, were recorded. MEASUREMENTS AND MAIN RESULTS: A total of 25 patients were transported in prone position. The mean Pao2:Fio2 ratio in the group was 101.3 mm Hg, and 76% (n = 19) were on vasopressors. Fourteen patients (56%) had hypotension with at least one episode of mean arterial pressure less than 65 mm Hg en route, and seven (28%) had an episode of oxygen desaturation less than 88%. Only one major adverse event of severe hypoxemia (oxygen saturation < 80%) was noted. CONCLUSIONS: Critical care transport of severe hypoxemic respiratory failure patients with coronavirus disease 2019 in the prone position is safe when performed by a dedicated team of critical care nurse and paramedics with an established protocol.

7.
Am J Manag Care ; 26(10): 423-424, 2020 10.
Article in English | MEDLINE | ID: covidwho-891082

ABSTRACT

In the midst of the coronavirus disease 2019 (COVID-19) pandemic, health care leaders must work to optimize emergency department and hospital efficiency while maintaining patient access to care.


Subject(s)
Betacoronavirus , Coronavirus Infections/therapy , Elective Surgical Procedures/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Patient Admission/statistics & numerical data , Pneumonia, Viral/therapy , COVID-19 , Humans , Intensive Care Units/statistics & numerical data , Pandemics , SARS-CoV-2
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