Aligning use of intensive care with patient values in the USA: past, present, and future

Shared Decision-Making in the ICU: Communicating With Patients Who Speak a Language of Lesser Diffusion

Effective bidirectional communication is crucial during end-of-life decision-making, which requires clear understanding between clinicians and patients and their family members about treatment options, preferences, and goals of care. For those who have a non-English language preference or who have difficulty speaking, reading, writing, and understanding English, interpreters are essential. However, patients who speak rarer languages, known as languages of lesser diffusion (LLDs), such as Karen, spoken in Thailand and Myanmar, face unique challenges because of limited interpretation resources. In this work, we discuss the case of a Karen-speaking patient admitted to the ICU who lacked decision-making capacity, requiring the involvement of family members who also spoke Karen for a code status discussion. Despite efforts to find an interpreter, no Karen interpreter was available initially, complicating the communication and decision-making about changing the code status to do not resuscitate/do not intubate. A remote Karen interpreter was identified later, allowing for effective communication and clinician assurance that the family did understand the implications of their decision and had made it voluntarily. End-of-life decision-making is complex and challenging, requiring culturally sensitive communication. Patients who speak LLDs face unique difficulties in these discussions compared with those who speak more common languages because of the lack of interpretation resources. The purpose of this case report is to draw attention to these specific challenges and explore ethical concerns when engaging in decision-making conversations with patients and families who speak an LLD.

"Postponing it Any Later Would not be so Great": A Cognitive Interview Study of How Physicians Decide to Initiate Goals of Care Discussions in the Hospital

BACKGROUND

There are missed opportunities to discuss goals and preferences for care with seriously ill patients in the acute care setting. It is unknown which factors most influence clinician decision-making about communication at the point of care.

OBJECTIVE

This study utilized a cognitive-interviewing technique to better understand what leads clinicians to decide to have a goals of care (GOC) discussion in the acute care setting.

METHODS

A convenience sample of 15 oncologists, intensivists and hospitalists were recruited from a single academic medical center in a large urban area. Participants completed a cognitive interview describing their thought process when deciding whether to engage in GOC discussions in clinical vignettes.

RESULTS

6 interconnected factors emerged as important in determining how likely the physician was to consider engaging in GOC at that time; (1) the participants' mental model of GOC, (2) timing of GOC related to stability, acuity and reversibility of the patient's condition, (3) clinical factors such as uncertainty, prognosis and recency of diagnosis, (4) patient factors including age and emotional state, (5) participants' role on the care team, and (6) clinician factors such as emotion and communication skill level.

CONCLUSION

Participants were hesitant to commit to the present moment as the right time for GOC discussions based on variations in clinical presentation. Clinical decision support systems that include more targeted information about risk of clinical deterioration and likelihood of reversal of the acute condition may prompt physicians to discuss GOC, but more support for managing discomfort with uncertainty is also needed.

Clinicians' Use of Choice Framing in ICU Family Meetings

OBJECTIVES

To quantify the frequency and patterns of clinicians' use of choice frames when discussing preference-sensitive care with surrogate decision-makers in the ICU.

DESIGN

Secondary sequential content analysis.

SETTING

One hundred one audio-recorded and transcribed conferences between surrogates and clinicians of incapacitated, critically ill adults from a prospective, multicenter cohort study.

SUBJECTS

Surrogate decision-makers and clinicians.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Four coders identified preference-sensitive decision episodes addressed in the meetings, including topics such as mechanical ventilation, renal replacement, and overall goals of care. Prior critical care literature provided specific topics identified as preference-sensitive specific to the critical care context. Coders then examined each decision episode for the types of choice frames used by clinicians. The choice frames were selected a priori based on decision science literature. In total, there were 202 decision episodes across the 101 transcripts, with 20.3% of the decision episodes discussing mechanical ventilation, 19.3% overall goals of care, 14.4% renal replacement therapy, 14.4% post-discharge care (i.e., discharge location such as a skilled nursing facility), and the remaining 32.1% other topics. Clinicians used default framing, in which an option is presented that will be carried out if another option is not actively chosen, more frequently than any other choice frame (127 or 62.9% of decision episodes). Clinicians presented a polar interrogative, or a "yes or no question" to accept or reject a specific care choice, in 43 (21.3%) decision episodes. Clinicians more frequently presented options emphasizing both potential losses and gains rather than either in isolation.

CONCLUSIONS

Clinicians frequently use default framing and polar questions when discussing preference-sensitive choices with surrogate decision-makers, which are known to be powerful nudges. Future work should focus on designing interventions promoting the informed use of these and the other most common choice frames used by practicing clinicians.

Hospital Culture and Intensity of End-of-Life Care at 3 Academic Medical Centers

Importance

There is substantial institutional variability in the intensity of end-of-life care that is not explained by patient preferences. Hospital culture and institutional structures (eg, policies, practices, protocols, resources) might contribute to potentially nonbeneficial high-intensity life-sustaining treatments near the end of life.

Objective

To understand the role of hospital culture in the everyday dynamics of high-intensity end-of-life care.

Design, Setting, and Participants

This comparative ethnographic study was conducted at 3 academic hospitals in California and Washington that differed in end-of-life care intensity based on measures in the Dartmouth Atlas and included hospital-based clinicians, administrators, and leaders. Data were deductively and inductively analyzed using thematic analysis through an iterative coding process.

Main Outcome and Measure

Institution-specific policies, practices, protocols, and resources and their role in the everyday dynamics of potentially nonbeneficial, high-intensity life-sustaining treatments.

Results

A total of 113 semistructured, in-depth interviews (66 women [58.4%]; 23 [20.4%] Asian, 1 [0.9%] Black, 5 [4.4%] Hispanic, 7 [6.2%] multiracial, and 70 [61.9%] White individuals) were conducted with inpatient-based clinicians and administrators between December 2018 and June 2022. Respondents at all hospitals described default tendencies to provide high-intensity treatments that they believed were universal in US hospitals. They also reported that proactive, concerted efforts among multiple care teams were required to deescalate high-intensity treatments. Efforts to deescalate were vulnerable to being undermined at multiple points during a patient's care trajectory by any individual or entity. Respondents described institution-specific policies, practices, protocols, and resources that engendered broadly held understandings of the importance of deescalating nonbeneficial life-sustaining treatments. Respondents at different hospitals reported different policies and practices that encouraged or discouraged deescalation. They described how these institutional structures contributed to the culture and everyday dynamics of end-of-life care at their institution.

Conclusions and Relevance

In this qualitative study, clinicians, administrators, and leaders at the hospitals studied reported that they work in a hospital culture in which high-intensity end-of-life care constitutes a default trajectory. Institutional structures and hospital cultures shape the everyday dynamics by which clinicians may deescalate end-of-life patients from this trajectory. Individual behaviors or interactions may fail to mitigate potentially nonbeneficial high-intensity life-sustaining treatments if extant hospital culture or a lack of supportive policies and practices undermine individual efforts. Hospital cultures need to be considered when developing policies and interventions to decrease potentially nonbeneficial, high-intensity life-sustaining treatments.

Impact of Interprofessional Teamwork on Aligning Intensive Care Unit Care with Patient Goals: A Qualitative Study of Transactive Memory Systems

Rationale: Although aligning care with patient goals is fundamental to critical care, this process is often delayed and leads to conflict among patients, families, and intensive care unit (ICU) teams. Interprofessional collaboration within ICU teams is an opportunity to improve goal-aligned care, yet this collaboration is poorly understood. A better understanding of how ICU team members work together to provide goal-aligned care may identify new strategies for improvement. Objectives: Transactive memory systems is a theory of group mind that explains how high-performing teams use a shared memory and collective cognition. We applied this theory to characterize the process of interprofessional collaboration within ICU teams and its relationship with goal-aligned care. Methods: We conducted a secondary analysis of focus group (n = 10) and semistructured interview (n = 8) transcripts, gathered during a parent study at two academic medical centers on the process of ICU care delivery in acute respiratory failure. Participants (N = 70) included interprofessional ICU and palliative care team members, surrogates, and patient survivors. We used directed content analysis, applying transactive memory systems theory and its major components (specialization, coordination, credibility) to examine ICU team collaboration. Results: Participants described each ICU profession as having a specialized role in aligning care with patient goals. Different professions have different opportunities to gather knowledge about patient goals and priorities, which results in dispersion of this knowledge among different team members. To share and use this dispersed knowledge, ICU teams rely on an informal coordination process and "side conversations." This process is a workaround for formal channels (e.g., health records, interprofessional rounds) that do not adequately convey knowledge about patient goals. This informal process does not occur if team members are discouraged from asserting their knowledge because of hierarchy or lack of psychological safety. Conversely, coordination succeeds when team members recognize each other as credible sources of valued knowledge. Conclusions: We found that ICU team members work together to align care with patient goals and priorities, using transactive memory systems. The successful function of these systems can be disrupted or promoted by ICU organizational and cultural factors, which are potential targets for efforts to increase goal-aligned care.

Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome

IMPORTANCE

Many clinical trial outcomes are documented in free-text electronic health records (EHRs), making manual data collection costly and infeasible at scale. Natural language processing (NLP) is a promising approach for measuring such outcomes efficiently, but ignoring NLP-related misclassification may lead to underpowered studies.

OBJECTIVE

To evaluate the performance, feasibility, and power implications of using NLP to measure the primary outcome of EHR-documented goals-of-care discussions in a pragmatic randomized clinical trial of a communication intervention.

DESIGN, SETTING, AND PARTICIPANTS

This diagnostic study compared the performance, feasibility, and power implications of measuring EHR-documented goals-of-care discussions using 3 approaches: (1) deep-learning NLP, (2) NLP-screened human abstraction (manual verification of NLP-positive records), and (3) conventional manual abstraction. The study included hospitalized patients aged 55 years or older with serious illness enrolled between April 23, 2020, and March 26, 2021, in a pragmatic randomized clinical trial of a communication intervention in a multihospital US academic health system.

MAIN OUTCOMES AND MEASURES

Main outcomes were natural language processing performance characteristics, human abstractor-hours, and misclassification-adjusted statistical power of methods of measuring clinician-documented goals-of-care discussions. Performance of NLP was evaluated with receiver operating characteristic (ROC) curves and precision-recall (PR) analyses and examined the effects of misclassification on power using mathematical substitution and Monte Carlo simulation.

RESULTS

A total of 2512 trial participants (mean [SD] age, 71.7 [10.8] years; 1456 [58%] female) amassed 44 324 clinical notes during 30-day follow-up. In a validation sample of 159 participants, deep-learning NLP trained on a separate training data set from identified patients with documented goals-of-care discussions with moderate accuracy (maximal F1 score, 0.82; area under the ROC curve, 0.924; area under the PR curve, 0.879). Manual abstraction of the outcome from the trial data set would require an estimated 2000 abstractor-hours and would power the trial to detect a risk difference of 5.4% (assuming 33.5% control-arm prevalence, 80% power, and 2-sided α = .05). Measuring the outcome by NLP alone would power the trial to detect a risk difference of 7.6%. Measuring the outcome by NLP-screened human abstraction would require 34.3 abstractor-hours to achieve estimated sensitivity of 92.6% and would power the trial to detect a risk difference of 5.7%. Monte Carlo simulations corroborated misclassification-adjusted power calculations.

CONCLUSIONS AND RELEVANCE

In this diagnostic study, deep-learning NLP and NLP-screened human abstraction had favorable characteristics for measuring an EHR outcome at scale. Adjusted power calculations accurately quantified power loss from NLP-related misclassification, suggesting that incorporation of this approach into the design of studies using NLP would be beneficial.

Factors associated with bereaved family surrogates' satisfaction with end-of-life care in intensive care units

OBJECTIVES

Family satisfaction with end-of-life care in the intensive care unit constitutes an important outcome for evaluating end-of-life care quality. Research on this topic focuses on linking end-of-life care processes to family-surrogate satisfaction with the patient's end-of-life care but has seldom examined patient- and family-surrogate-based factors. We aimed to comprehensively and simultaneously examine factors facilitating or deterring family satisfaction with end-of-life care in the intensive care unit from patient- and family-surrogate perspectives.

METHODS

For this secondary-analysis study, 278 Taiwanese family surrogates were surveyed one-month post-patient death using the Family Satisfaction in the Intensive Care Unit questionnaire (FS-ICU), which measures care and decision-making. Associations between family satisfaction with end-of-life care and patient and family characteristics, patient disease severity, and length of intensive care stay were examined by multivariate, multilevel linear regression models.

RESULTS

Female family surrogates were more satisfied with patients' end-of-life care than male family surrogates when patients had a higher APACHE II but a lower SOFA score. Adult-child surrogates had lower FS-ICU Care scores than other family surrogates. Higher satisfaction with ICU decision-making was associated with patients' higher APACHE II but lower SOFA scores, longer stay and family socio-demographics, including being unmarried, educational attainment above junior high school and reported financial sufficiency to make ends meet.

CONCLUSION

Patient disease severity and family-surrogate characteristics are significantly associated with surrogates' satisfaction with patients' end-of-life care in the intensive care unit. Specific interventions should be tailored to the needs of high-risk family surrogates to increase their satisfaction with this care.

Using long-term predicted Quality of Life in ICU clinical practice to prepare patients for life post-ICU: A feasibility study

PURPOSE

To examine the feasibility of using the PREdicting PAtients' long-term outcome for Recovery (PREPARE) prediction model for Quality of Life (QoL) 1 year after ICU admission in ICU practice to prepare expected ICU survivors and their relatives for life post-ICU.

MATERIALS AND METHODS

Between June 2020 and February 2021, the predicted change in QoL after 1 year was discussed in 25 family conferences in the ICU. 13 physicians, 10 nurses and 19 patients and/or family members were interviewed to evaluate intervention feasibility in ICU practice. Interviews were analysed qualitatively using thematic coding.

RESULTS

Patients' median age was 68.0 years, five patients (20.0%) were female and seven patients (28.0%) died during ICU stay. Generally, study participants thought the intervention, which clarified the concept of QoL through visualization and served as a reminder to discuss QoL and expectations for life post-ICU, had merit. However, some participants, especially physicians, thought the prediction model needed more data on more severely ill ICU patients to curb uncertainty.

CONCLUSIONS

Using predicted QoL scores in ICU practice to prepare patients and family members for life after ICU discharge is feasible. After optimising the model and implementation strategy, its effectiveness can be evaluated in a larger trial.

Assessment of Clinical Palliative Care Trigger Status vs Actual Needs Among Critically Ill Patients and Their Family Members

IMPORTANCE

Palliative care consultations in intensive care units (ICUs) are increasingly prompted by clinical characteristics associated with mortality or resource utilization. However, it is not known whether these triggers reflect actual palliative care needs.

OBJECTIVE

To compare unmet needs by clinical palliative care trigger status (present vs absent).

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study was conducted in 6 adult medical and surgical ICUs in academic and community hospitals in North Carolina between January 2019 and September 2020. Participants were consecutive patients receiving mechanical ventilation and their family members.

EXPOSURE

Presence of any of 9 common clinical palliative care triggers.

MAIN OUTCOMES AND MEASURES

The primary outcome was the Needs at the End-of-Life Screening Tool (NEST) score (range, 0-130, with higher scores reflecting greater need), which was completed after 3 days of ICU care. Trigger status performance in identifying serious need (NEST score ≥30) was assessed using sensitivity, specificity, positive and negative likelihood ratios, and C statistics.

RESULTS

Surveys were completed by 257 of 360 family members of patients (71.4% of the potentially eligible patient-family member dyads approached) with a median age of 54.0 years (IQR, 44-62 years); 197 family members (76.7%) were female, and 83 (32.3%) were Black. The median age of patients was 58.0 years (IQR, 46-68 years); 126 patients (49.0%) were female, and 88 (33.5%) were Black. There was no difference in median NEST score between participants with a trigger present (45%) and those with a trigger absent (55%) (21.0; IQR, 12.0-37.0 vs 22.5; IQR, 12.0-39.0; P = .52). Trigger presence was associated with poor sensitivity (45%; 95% CI, 34%-55%), specificity (55%; 95% CI, 48%-63%), positive likelihood ratio (1.0; 95% CI, 0.7-1.3), negative likelihood ratio (1.0; 95% CI, 0.8-1.2), and C statistic (0.50; 95% CI, 0.44-0.57).

CONCLUSIONS AND RELEVANCE

In this cohort study, clinical palliative care trigger status was not associated with palliative care needs and no better than chance at identifying the most serious needs, which raises questions about an increasingly common clinical practice. Focusing care delivery on directly measured needs may represent a more person-centered alternative.

Social acceptance of death and its implication for end-of-life care

AIMS

To understand how the social patterns about death influence end-of-life care from the perspective of healthcare professionals.

DESIGN

A qualitative study according to the theory of Glaser and Strauss.

METHODS

A purposeful sample of 47 participants with different roles (nurses, physicians and clinical psychologists) were involved in four focus groups and 17 interviews in 2017-2019. Responses were audio-recorded, transcribed verbatim and analysed using computer-assisted qualitative data.

RESULTS

A core category 'the theory of social patterns about death' emerged, which is explained by three categories: the culture of concealment and stubbornness towards death, the effort and internal work to make death a part of existence, and the influence of the social patterns of coping with death on end-of life care and healthcare professionals. Our results suggest that social coping with death is affected by a network of concealment and obstinacy towards death.

CONCLUSION

Recognizing death as part of life and thinking about death itself are social coping strategies. Although healthcare professionals occupy a privileged place in this process, the culture of concealment of death influences end-of-life care.

IMPACT

The social process that leads to the loneliness of the dying in our days has been theorized. However, social acceptance of death also influences healthcare professionals' attitudes towards death. Thus, healthcare professionals' own attitudes may affect the end-of-life care given to dying individuals and their families. The social patterns of death may contribute to the healthcare professionals' negative attitudes towards death. The concept of dignified death has been linked to the notion of humanization of healthcare. Death should be approached from a more naturalistic perspective by healthcare professionals, healthcare and academic institutions.

Quality Assessments of End-of-Life Care by Medical Record Review for Patients Dying in Intensive Care Units in Taiwan

CONTEXT/OBJECTIVE

Essential indicators of high-quality end-of-life care in intensive care units (ICUs) have been established but examined inconsistently and predominantly with small samples, mostly from Western countries. Our study goal was to comprehensively measure end-of-life-care quality delivered in ICUs using chart-derived process-based quality measures for a large cohort of critically ill Taiwanese patients.

METHODS

For this observational study, patients with APACHE II score ≥20 or goal of palliative care and with ICU stay exceeding three days (N = 326) were consecutively recruited and followed until death.

RESULTS

Documentation of process-based indicators for Taiwanese patients dying in ICUs was variable (8.9%-96.3%), but high for physician communication of the patient's poor prognosis to his/her family members (93.0%), providing specialty palliative-care consultations (73.3%), a do-not-resuscitate order in place at death (96.3%), death without cardiopulmonary resuscitation (93.5%), and family presence at patient death (76.1%). Documentation was infrequent for social-worker involvement (8.9%) and interdisciplinary family meetings to discuss goals of care (22.4%). Patients predominantly (79.8%) continued life-sustaining treatments (LSTs) until death and died with full life support, with 88.3% and 58.9% of patients dying with mechanical ventilation support and vasopressors, respectively.

CONCLUSIONS

Taiwanese patients dying in ICUs heavily used LSTs until death despite high prevalences of documented prognostic communication, providing specialty palliative-care consultations, having a do-not-resuscitate order in place, and death without cardiopulmonary resuscitation. Family meetings should be actively promoted to facilitate appropriate end-of-life-care decisions to avoid unnecessary suffering from potentially inappropriate LSTs during the last days of life.

Patient Risk Factor Profiles Associated With the Timing of Goals-of-Care Consultation Before Death: A Classification and Regression Tree Analysis

BACKGROUND

Early palliative care consultation ("PCC") to discuss goals-of-care benefits seriously ill patients. Risk factor profiles associated with the timing of conversations in hospitals, where late conversations most likely occur, are needed.

OBJECTIVE

To identify risk factor patient profiles associated with PCC timing before death.

METHODS

Secondary analysis of an observational study was conducted at an urban, academic medical center. Patients aged 18 years and older admitted to the medical center, who had PCC, and died July 1, 2014 to October 31, 2016, were included. Patients admitted for childbirth or rehabilitationand patients whose date of death was unknown were excluded. Classification and Regression Tree modeling was employed using demographic and clinical variables.

RESULTS

Of 1141 patients, 54% had PCC "close to death" (0-14 days before death); 26% had PCC 15 to 60 days before death; 21% had PCC >60 days before death (median 13 days before death). Variables associated with receiving PCC close to death included being Hispanic or "Other" race/ethnicity intensive care patients with extreme illness severity (85%), with age <46 or >75 increasing this probability (98%). Intensive care patients with extreme illness severity were also likely to receive PCC close to death (64%) as were 50% of intensive care patients with less than extreme illness severity.

CONCLUSIONS

A majority of patients received PCC close to death. A complex set of variable interactions were associated with PCC timing. A systematic process for engaging patients with PCC earlier in the care continuum, and in intensive care regardless of illness severity, is needed.

Use and Meaning of "Goals of Care" in the Healthcare Literature: a Systematic Review and Qualitative Discourse Analysis

BACKGROUND

The specific phrase "goals of care" (GOC) is pervasive in the discourse about serious illness care. Yet, the meaning of this phrase is ambiguous. We sought to characterize the use and meaning of the phrase GOC within the healthcare literature to improve communication among patients, families, clinicians, and researchers.

METHODS

A systematic review of the English language healthcare literature indexed in MEDLINE/PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus was performed in October of 2018. We searched for all publications with the exact phrase "goals of care" within the title or abstract; no limitations on publication date or format were applied; conference abstracts were excluded. We used qualitative, discourse analysis to identify key themes and generate an operational definition and conceptual model of GOC.

RESULTS

A total of 214 texts were included in the final analysis. Use of GOC increased over time with 87% of included texts published in the last decade (2009-2018). An operational definition emerged from consensus within the published literature: the overarching aims of medical care for a patient that are informed by patients' underlying values and priorities, established within the existing clinical context, and used to guide decisions about the use of or limitation(s) on specific medical interventions. Application of the GOC concept was described as important to the care of patients with serious illness, in order to (1) promote patient autonomy and patient-centered care, (2) avoid unwanted care and identify valued care, and (3) provide psychological and emotional support for patients and their families.

DISCUSSION

The use of the phrase "goals of care" within the healthcare literature is increasingly common. We identified a consensus, operational definition that can facilitate communication about serious illness among patients, families, and clinicians and provide a framework for researchers developing interventions to improve goal-concordant care.

Assessment of Variability in End-of-Life Care Delivery in Intensive Care Units in the United States

IMPORTANCE

Overall, 1 of 5 decedents in the United States is admitted to an intensive care unit (ICU) before death.

OBJECTIVE

To describe structures, processes, and variability of end-of-life care delivered in ICUs in the United States.

DESIGN, SETTING, AND PARTICIPANTS

This nationwide cohort study used data on 16 945 adults who were cared for in ICUs that participated in the 68-unit ICU Liberation Collaborative quality improvement project from January 2015 through April 2017. Data were analyzed between August 2018 and June 2019.

MAIN OUTCOMES AND MEASURES

Published quality measures and end-of-life events, organized by key domains of end-of-life care in the ICU.

RESULTS

Of 16 945 eligible patients in the collaborative, 1536 (9.1%) died during their initial ICU stay. Of decedents, 654 (42.6%) were women, 1037 (67.5%) were 60 years or older, and 1088 (70.8%) were identified as white individuals. Wide unit-level variation in end-of-life care delivery was found. For example, the median unit-stratified rate of cardiopulmonary resuscitation avoidance in the last hour of life was 89.5% (interquartile range, 83.3%-96.1%; range, 50.0%-100%). Median rates of patients who were pain free and delirium free in last 24 hours of life were 75.1% (interquartile range, 66.0%-85.7%; range, 0-100%) and 60.0% (interquartile range, 43.7%-85.2%; range, 9.1%-100%), respectively. Ascertainment of an advance directive was associated with lower odds of cardiopulmonary resuscitation in the last hour of life (odds ratio, 0.70; 95% CI, 0.49-0.99; P = .04), and a documented offer or delivery of spiritual support was associated with higher odds of family presence at the time of death (odds ratio, 1.95; 95% CI, 1.37-2.77; P < .001). Death in a unit with an open visitation policy was associated with higher odds of pain in the last 24 hours of life (odds ratio, 2.21; 95% CI, 1.15-4.27; P = .02). Unsupervised cluster analysis revealed 3 mutually exclusive unit-level patterns of end-of-life care delivery among 63 ICUs with complete data. Cluster 1 units (14 units [22.2%]) had the lowest rate of cardiopulmonary resuscitation avoidance but achieved the highest pain-free rate. Cluster 2 (25 units [39.7%]) had the lowest delirium-free rate but achieved high rates of all other end-of-life events. Cluster 3 (24 units [38.1%]) achieved high rates across all favorable end-of-life events.

CONCLUSIONS AND RELEVANCE

In this study, end-of-life care delivery varied substantially among ICUs in the United States, and the patterns of care observed suggest that units can be characterized as higher and lower performing. To achieve optimal care for patients who die in an ICU, future research should target unit-level variation and disseminate the successes of higher-performing units.