Trajectories of Palliative Care Needs in the ICU and Long-Term Psychological Distress Symptoms.

OBJECTIVES: While palliative care needs are assumed to improve during ICU care, few empiric data exist on need trajectories or their impact on long-term outcomes. We aimed to describe trajectories of palliative care needs during ICU care and to determine if changes in needs over 1 week was associated with similar changes in psychological distress symptoms at 3 months. DESIGN: Prospective cohort study. SETTING: Six adult medical and surgical ICUs. PARTICIPANTS: Patients receiving mechanical ventilation for greater than or equal to 2 days and their family members. MEASUREMENTS AND MAIN RESULTS: The primary outcome was the 13-item Needs at the End-of-Life Screening Tool (NEST; total score range 0-130) completed by family members at baseline, 3, and 7 days. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Post-Traumatic Stress Scale (PTSS) were completed at baseline and 3 months. General linear models were used to estimate differences in distress symptoms by change in need (NEST improvement ≥ 10 points or not). One-hundred fifty-nine family members participated (median age, 54.0 yr [interquartile range (IQR), 44.0-63.0 yr], 125 [78.6%] female, 54 [34.0%] African American). At 7 days, 53 (33%) a serious level of overall need and 35 (22%) ranked greater than or equal to 1 individual need at the highest severity level. NEST scores improved greater than or equal to 10 points in only 47 (30%). Median NEST scores were 22 (IQR, 12-40) at baseline and 19 (IQR, 9-37) at 7 days (change, -2.0; IQR, -11.0 to 5.0; p = 0.12). There were no differences in PHQ-9, GAD-7, or PTSS change scores by change in NEST score (all p > 0.15). CONCLUSIONS: Serious palliative care needs were common and persistent among families during ICU care. Improvement in needs was not associated with less psychological distress at 3 months. Serious needs may be commonly underrecognized in current practice.

Neighborhood socioeconomic deprivation, healthcare access, and 30-day mortality and readmission after sepsis or critical illness: findings from a nationwide study.

BACKGROUND: To determine if neighborhood socioeconomic deprivation independently predicts 30-day mortality and readmission for patients with sepsis or critical illness after adjusting for individual poverty, demographics, comorbidity burden, access to healthcare, and characteristics of treating healthcare facilities. METHODS: We performed a nationwide study of United States Medicare beneficiaries from 2017 to 2019. We identified hospitalized patients with severe sepsis and patients requiring prolonged mechanical ventilation, tracheostomy, or extracorporeal membrane oxygenation (ECMO) through Diagnosis Related Groups (DRGs). We estimated the association between neighborhood socioeconomic deprivation, measured by the Area Deprivation Index (ADI), and 30-day mortality and unplanned readmission using logistic regression models with restricted cubic splines. We sequentially adjusted for demographics, individual poverty, and medical comorbidities, access to healthcare services; and characteristics of treating healthcare facilities. RESULTS: A total of 1,526,405 admissions were included in the mortality analysis and 1,354,548 were included in the readmission analysis. After full adjustment, 30-day mortality for patients was higher for those from most-deprived neighborhoods (ADI 100) compared to least deprived neighborhoods (ADI 1) for patients with severe sepsis (OR 1.35 95% [CI 1.29-1.42]) or with prolonged mechanical ventilation with or without sepsis (OR 1.42 [95% CI 1.31, 1.54]). This association was linear and dose dependent. However, neighborhood socioeconomic deprivation was not associated with 30-day unplanned readmission for patients with severe sepsis and was inversely associated with readmission for patients requiring prolonged mechanical ventilation with or without sepsis. CONCLUSIONS: A strong association between neighborhood socioeconomic deprivation and 30-day mortality for critically ill patients is not explained by differences in individual poverty, demographics, measured baseline medical risk, access to healthcare resources, or characteristics of treating hospitals.

Is This ACP? A Focus Group Study of Patient Experiences of Advance Care Planning.

BACKGROUND: To date, most research on patients' experiences with advance care planning (ACP) focuses on motivations to engage in discussions and how patients prepare. Gaps remain in understanding how non-critically ill Medicare patients perceive ACP encounters, including how they characterize positive and negative experiences with ACP. OBJECTIVES: Understanding these patients' perceptions is imperative as Medicare has sought to incentivize provision of ACP services via two billing codes in 2016. DESIGN: Qualitative focus group study. Thematic analysis was performed to assess participants ACP experience. PARTICIPANTS: Medicare beneficiaries who had engaged in or were billed for ACP. KEY RESULTS: Seven focus groups were conducted with 34 Medicare beneficiaries who had engaged in ACP across 5 US health systems. Participants described a spectrum of perceptions regarding ACP, and a range of delivery approaches, including group ACP, discussions with specialists during serious illness, and ACP in primary care settings during wellness visits. Despite being billed for ACP or having ACP services noted in their medical record, many did not recognize that they had engaged in ACP, expressed lack of clarity over the term "ACP," and were unaware of the Medicare billing codes. Among participants who described quality patient-centered ACP experiences, three additional themes were identified: trusted and established patient/clinician relationships, transparent communication and documentation, and an understanding that ACP is revisable. Participants offered recommendations for clinicians and health systems to improve the patient ACP experience. CONCLUSIONS: Findings include actionable steps to promote patient-centered ACP experiences, including clinician training to support improved communication and facilitating shared decision-making, allocating sufficient clinical time for discussions, and ensuring that documentation of preferences is clear and accessible. Other approaches such as group ACP and ACP navigators may help to support patient interests within clinical constraints and need to be further explored.

Equitably Allocating Resources during Crises: Racial Differences in Mortality Prediction Models.

Rationale: Crisis standards of care (CSCs) guide critical care resource allocation during crises. Most recommend ranking patients on the basis of their expected in-hospital mortality using the Sequential Organ Failure Assessment (SOFA) score, but it is unknown how SOFA or other acuity scores perform among patients of different races. Objectives: To test the prognostic accuracy of the SOFA score and version 2 of the Laboratory-based Acute Physiology Score (LAPS2) among Black and white patients. Methods: We included Black and white patients admitted for sepsis or acute respiratory failure at 27 hospitals. We calculated the discrimination and calibration for in-hospital mortality of SOFA, LAPS2, and modified versions of each, including categorical SOFA groups recommended in a popular CSC and a SOFA score without creatinine to reduce the influence of race. Measurements and Main Results: Of 113,158 patients, 27,644 (24.4%) identified as Black. The LAPS2 demonstrated higher discrimination (area under the receiver operating characteristic curve [AUC], 0.76; 95% confidence interval [CI], 0.76-0.77) than the SOFA score (AUC, 0.68; 95% CI, 0.68-0.69). The LAPS2 was also better calibrated than the SOFA score, but both underestimated in-hospital mortality for white patients and overestimated in-hospital mortality for Black patients. Thus, in a simulation using observed mortality, 81.6% of Black patients were included in lower-priority CSC categories, and 9.4% of all Black patients were erroneously excluded from receiving the highest prioritization. The SOFA score without creatinine reduced racial miscalibration. Conclusions: Using SOFA in CSCs may lead to racial disparities in resource allocation. More equitable mortality prediction scores are needed.

Determining the Association Between End-of-Life Care Resources and Patient Outcomes in Pennsylvania ICUs.

OBJECTIVES: As ICUs are increasingly a site of end-of-life care, many have adopted end-of-life care resources. We sought to determine the association of such resources with outcomes of ICU patients. DESIGN: Retrospective cohort study. SETTING: Pennsylvania ICUs. PATIENTS: Medicare fee-for-service beneficiaries. INTERVENTIONS: Availability of any of one hospital-based resource (palliative care consultants) or four ICU-based resources (protocol for withdrawal of life-sustaining therapy, triggers for automated palliative care consultation, protocol for family meetings, and palliative care clinicians embedded in ICU rounds). MEASUREMENTS AND MAIN RESULTS: In mixed-effects regression analyses, admission to a hospital with end-of-life resources was not associated with mortality, length of stay, or treatment intensity (mechanical ventilation, hemodialysis, tracheostomy, gastrostomy, artificial nutrition, or cardiopulmonary resuscitation); however, it was associated with a higher likelihood of discharge to hospice (odds ratio, 1.58; 95% CI, 1.11-2.24), an effect that was driven by ICU-based resources (odds ratio, 1.37; 95% CI, 1.04-1.81) rather than hospital-based resources (odds ratio, 1.19; 95% CI, 0.83-1.71). Instrumental variable analysis using differential distance (defined as the additional travel distance beyond the hospital closest to a patient's home needed to reach a hospital with end-of-life resources) demonstrated that among those for whom differential distance would influence receipt of end-of-life resources, admission to a hospital with such resources was not associated with any outcome. CONCLUSIONS: ICU-based end-of-life care resources do not appear to change mortality but are associated with increased hospice utilization. Given that this finding was not confirmed by the instrumental variable analysis, future studies should attempt to verify this finding, and identify specific resources or processes of care that impact the care of ICU patients at the end of life.

The Challenge of Emergency Abortion Care Following the Dobbs Ruling.

This Viewpoint discusses how limited or blocked access to legal abortion will affect the provision of emergency and critical care, including negative effects on patient health, legal intrusion into the patient-physician decision-making process, and concerns about legal jeopardy.

Racial, Ethnic, and Socioeconomic Differences in Critical Care Near the End of Life: A Narrative Review.

Patients from groups that are racially/ethnically minoritized or of low socioeconomic status receive more intensive care near the end of life, endorse preferences for more life-sustaining treatments, experience lower quality communication from clinicians, and report worse quality of dying than other patients. There are many contributory factors, including system (eg, lack of intensive outpatient symptom management resources), clinician (eg, low-quality serious illness communication), and patient (eg, cultural norms) factors. System and clinician factors contribute to disparities and ought to be remedied, while patient factors simply reflect differences in care and may not be appropriate targets for intervention.

Transition of Intensive Care Unit Patients and Their Families to Home After Acute Hospital Care.

Patients in the intensive care unit (ICU) increasingly are expected to eventually return home after acute hospital care. Yet transitional care for ICU patients and their families is often delayed until the patient is about to be transferred to another location or level of care. Transitions theory is a middle-range nursing theory that aims to provide guidance for safe and effective nursing care and research while an individual experiences a transition. Intensive care unit nurses are well positioned to provide ICU transitional care planning early. This article applies the transitions theory as a theoretical model to guide the study of the transition to home after acute hospital care for ICU patients and their families. This theory application can help ICU nurses provide holistic patient- and family-centered transitional care to achieve optimal outcomes by addressing the predischarge and postdischarge needs of patients and families.

'Against Medical Advice' Discharges After Respiratory-Related Hospitalizations: Strategies for Respectful Care.

Against medical advice (AMA) discharges are practically and emotionally challenging for both patients and clinicians. Moreover, they are common after admissions for respiratory conditions such as COPD and asthma, and they are associated with poor outcomes. Despite the challenges presented by AMA discharges, clinicians rarely receive formal education and have limited guidance on how to approach these discharges. Often, the approach to AMA discharges prioritizes designating the discharge as "AMA," whereas effective coordination of discharge care receives less attention. Such an approach can lead to stigmatization of patients and low-quality care. Although evidence for best practices in AMA discharges remains lacking, we propose a set of strategies to improve care in AMA discharges by focusing on respect, in which clinicians treat patients as equals and honor differing values. We describe five strategies, including (1) preventing an AMA discharge; (2) conducting a patient-centered and truthful discussion of risk; (3) providing harm-reducing discharge care; (4) minimizing stigma and bias; (5) educating trainees. Through a case of a patient discharging AMA after a COPD exacerbation, we highlight how these strategies can be applied to common issues in respiratory-related hospitalizations, such as prescribing inhalers and managing oxygen requirements. We argue that, by using these strategies, clinicians can deliver respectful and higher-quality care to an often-marginalized population of patients with respiratory disease.

The Association of Pregnancy With Outcomes Among Critically Ill Reproductive-Aged Women: A Propensity Score-Matched Retrospective Cohort Analysis.

BACKGROUND: The maternal mortality rate in the United States is unacceptably high. However, the relative contribution of pregnancy to these outcomes is unknown. Studies comparing outcomes among pregnant vs nonpregnant critically ill patients show mixed results and are limited by small sample sizes. RESEARCH QUESTION: What is the association of pregnancy with critical illness outcomes? STUDY DESIGN AND METHODS: We performed a retrospective cohort study of women 18 to 55 years of age who received invasive mechanical ventilation (MV) on hospital day 0 or 1 or who demonstrated sepsis on admission (infection with organ failure) discharged from Premier Healthcare Database hospitals from 2008 through 2021. The exposure was pregnancy. The primary outcome was in-hospital mortality. We created propensity scores for pregnancy (using patient and hospital characteristics) and performed 1:1 propensity score matching without replacement within age strata (to ensure exact age matching). We performed multilevel multivariable mixed-effects logistic regression for propensity-matched pairs with pair as a random effect. RESULTS: Three thousand ninety-three pairs were included in the matched MV cohort, and 13,002 pairs were included in the sepsis cohort. The characteristics of both cohorts were well balanced (all standard mean differences, < 0.1). Among matched pairs, unadjusted mortality was 8.0% vs 13.8% for MV and 1.4% vs 2.3% for sepsis among pregnant and nonpregnant patients, respectively. In adjusted regression, pregnancy was associated with lower odds of in-hospital mortality (MV: OR, 0.50; 95% CI, 0.41-0.60; P < .001; sepsis: OR, 0.52; 95% CI, 0.40-0.67; P < .001). INTERPRETATION: In this large US cohort, critically ill pregnant women receiving MV or with sepsis showed better survival than propensity score-matched nonpregnant women. These findings must be interpreted in the context of likely residual confounding.

Talking About Suffering in the Intensive Care Unit.

BACKGROUND: Some have hypothesized that talk about suffering can be used by clinicians to motivate difficult decisions, especially to argue for reducing treatment at the end of life. We examined how talk about suffering is related to decision-making for critically ill patients, by evaluating transcripts of conversations between clinicians and patients' families. METHODS: We conducted a secondary qualitative content analysis of audio-recorded family meetings from a multicenter trial conducted in the adult intensive care units of five hospitals from 2012-2017 to look at how the term "suffering" and its variants were used. A coding guide was developed by consensus-oriented discussion by four members of the research team. Two coders independently evaluated each transcript. We followed an inductive approach to data analysis in reviewing transcripts; findings were iteratively discussed among study authors until consensus on key themes was reached. RESULTS: Of 146 available transcripts, 34 (23%) contained the word "suffer" or "suffering" at least once, with 58 distinct uses. Clinicians contributed 62% of first uses. Among uses describing the suffering of persons, 57% (n = 24) were related to a decision, but only 42% (n = 10) of decision-relevant uses accompanied a proposal to limit treatment, and only half of treatment-limiting uses (n = 5) were initiated by clinicians. The target terms had a variety of implicit meanings, including poor prognosis, reduced functioning, pain, discomfort, low quality of life, and emotional distress. Suffering was frequently attributed to persons who were unconscious. CONCLUSIONS: Our results did not support the claim that the term "suffering" and its variants are used primarily by clinicians to justify limiting treatment, and the terms were not commonly used in our sample when decisions were requested. Still, when these terms were used, they were often used in a decision-relevant fashion.

Variation in Mentions of Race and Ethnicity in Notes in Intensive Care Units Across a Health Care System.

BACKGROUND: Social constructs like race can affect how patients are perceived and impact care. This study investigated whether mentions of race in notes for critically ill patients differed according to patients' race. METHODS: This retrospective cohort study included intensive care unit notes for adults (≥18 years old) admitted to any of 6 intensive care units at University of California, San Francisco, from 2012 through 2020. Notes were linked to National Provider Identifier records to obtain note writer characteristics. Logistic regression analysis with robust SEs clustered on note writers was adjusted for patient-, note- and clinician-level characteristics. Any race or ethnicity mention was the outcome of interest. RESULTS: Among 5573 patients with 292 457 notes by 9742 unique note writers, 3225 patients (57.9%) self-reported their race as White, 997 (17.9%) as Asian, 860 (15.4%) as Latinx, and 491 (8.8%) as Black. Note writers documented race/ethnicity for 20.8% of Black, 10.9% of Latinx, 9.1% of White, and 4.4% of Asian patients. Black patients were more likely than White patients to have race mentioned in notes (adjusted odds ratio, 2.05 [95% CI, 1.49-2.82]). CONCLUSIONS: Black patients were more than twice as likely as White patients to have race mentioned in notes. Note language containing information on social constructs has consequences for clinicians and patients reading notes and for algorithms trained on clinical notes.

Racial Differences in Shared Decision-Making About Critical Illness.

Importance: Shared decision-making is the preferred method for evaluating complex tradeoffs in the care of patients with critical illness. However, it remains unknown whether critical care clinicians engage diverse patients and caregivers equitably in shared decision-making. Objective: To compare critical care clinicians' approaches to shared decision-making in recorded conversations with Black and White caregivers of patients with critical illness. Design, Setting, and Participants: This thematic analysis consisted of unstructured clinician-caregiver meetings audio-recorded during a randomized clinical trial of a decision aid about prolonged mechanical ventilation at 13 intensive care units in the US. Participants in meetings included critical care clinicians and Black or White caregivers of patients who underwent mechanical ventilation. The codebook included components of shared decision-making and known mechanisms of racial disparities in clinical communication. Analysts were blinded to caregiver race during coding. Patterns within and across racial groups were evaluated to identify themes. Data analysis was conducted between August 2021 and April 2023. Main Outcomes and Measures: The main outcomes were themes describing clinician behaviors varying by self-reported race of the caregivers. Results: The overall sample comprised 20 Black and 19 White caregivers for a total of 39 audio-recorded meetings with clinicians. The duration of meetings was similar for both Black and White caregivers (mean [SD], 23.9 [13.7] minutes vs 22.1 [11.2] minutes, respectively). Both Black and White caregivers were generally middle-aged (mean [SD] age, 47.6 [9.9] years vs 51.9 [8.8] years, respectively), female (15 [75.0%] vs 14 [73.7%], respectively), and possessed a high level of self-assessed health literacy, which was scored from 3 to 15 with lower scores indicating increasing health literacy (mean [SD], 5.8 [2.3] vs 5.3 [2.0], respectively). Clinicians conducting meetings with Black and White caregivers were generally young (mean [SD] age, 38.8 [6.6] years vs 37.9 [8.2] years, respectively), male (13 [72.2%] vs 12 [70.6%], respectively), and White (14 [77.8%] vs 17 [100%], respectively). Four variations in clinicians' shared decision-making behaviors by caregiver race were identified: (1) providing limited emotional support for Black caregivers, (2) failing to acknowledge trust and gratitude expressed by Black caregivers, (3) sharing limited medical information with Black caregivers, and (4) challenging Black caregivers' preferences for restorative care. These themes encompass both relational and informational aspects of shared decision-making. Conclusions and Relevance: The results of this thematic analysis showed that critical care clinicians missed opportunities to acknowledge emotions and value the knowledge of Black caregivers compared with White caregivers. These findings may inform future clinician-level interventions aimed at promoting equitable shared decision-making.

Shared Decision-Making Communication and Prognostic Misunderstanding in the ICU.

Importance: Surrogate misunderstanding of patient survival prognosis in the intensive care unit (ICU) is associated with poor patient and surrogate outcomes. Shared decision-making (SDM) may reduce misunderstanding. Objective: To evaluate the association between SDM-aligned communication and prognostic misunderstanding. Design, Setting, and Participants: This retrospective cohort study was conducted at 13 medical and surgical ICUs at 5 hospitals in North Carolina, Pennsylvania, and Washington between December 2012 and January 2017. Participants were surrogates of adult patients receiving prolonged mechanical ventilation and ICU physicians. Analysis was performed May to November 2023. Exposure: SDM-aligned communication during ICU family meetings, defined as the presence of high-quality serious illness communication behaviors aligned with SDM principles. Main Outcomes and Measures: The primary outcome was postmeeting surrogate prognostic misunderstanding, defined as the absolute difference between the physician's estimate of survival prognosis and the surrogate's perception of that estimate (range, 0-100 percentage points). The secondary outcome was postmeeting physician misunderstanding, defined as the absolute difference between a surrogate's estimate of survival prognosis and the physician's perception of that estimate (range, 0-100 percentage points). Prognostic misunderstanding of 20 percentage points or greater was considered clinically significant as in prior work. Results: Of 137 surrogates, most were female (102 [74.5%]), and there were 22 (16.1%) Black surrogates, 107 (78.1%) White surrogates, and 8 surrogates (5.8%) with other race and ethnicity. Of 100 physicians, most were male (64 [64.0%]), with 11 (11.0%) Asian physicians, 4 (4.0%) Black physicians, and 75 (75.0%) White physicians. Median (IQR) surrogate prognostic misunderstanding declined significantly after family meetings (before: 22.0 [10.0 to 40.0] percentage points; after: 15.0 [5.0 to 34.0] percentage points; P = .002), but there was no significant change in median (IQR) physician prognostic misunderstanding (before: 12.0 [5.0 to 30.0] percentage points; after: 15.0 [5.0 to 29.0] percentage points; P = .99). In adjusted analyses, SDM-aligned communication was not associated with prognostic misunderstanding among surrogates or physicians (surrogates: ß = -0.74; 95% CI, -1.81 to 0.32; P = .17; physicians: ß = -0.51; 95% CI, -1.63 to 0.62; P = .38). In a prespecified subgroup analysis of 78 surrogates (56.9%) with clinically significant premeeting prognostic misunderstanding, SDM-aligned communication was associated with reduced surrogate postmeeting prognostic misunderstanding (ß = -1.71; 95% CI, -3.09 to -0.34; P = .01). Conclusions and Relevance: In this retrospective cohort study, SDM-aligned communication was not associated with changes in prognostic misunderstanding for all surrogates or physicians, but it was associated with reduced prognostic misunderstanding among surrogates with clinically significant misunderstanding at baseline.

Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models.

BACKGROUND: Language in nonmedical data sets is known to transmit human-like biases when used in natural language processing (NLP) algorithms that can reinforce disparities. It is unclear if NLP algorithms of medical notes could lead to similar transmissions of biases. RESEARCH QUESTION: Can we identify implicit bias in clinical notes, and are biases stable across time and geography? STUDY DESIGN AND METHODS: To determine whether different racial and ethnic descriptors are similar contextually to stigmatizing language in ICU notes and whether these relationships are stable across time and geography, we identified notes on critically ill adults admitted to the University of California, San Francisco (UCSF), from 2012 through 2022 and to Beth Israel Deaconess Hospital (BIDMC) from 2001 through 2012. Because word meaning is derived largely from context, we trained unsupervised word-embedding algorithms to measure the similarity (cosine similarity) quantitatively of the context between a racial or ethnic descriptor (eg, African-American) and a stigmatizing target word (eg, nonco-operative) or group of words (violence, passivity, noncompliance, nonadherence). RESULTS: In UCSF notes, Black descriptors were less likely to be similar contextually to violent words compared with White descriptors. Contrastingly, in BIDMC notes, Black descriptors were more likely to be similar contextually to violent words compared with White descriptors. The UCSF data set also showed that Black descriptors were more similar contextually to passivity and noncompliance words compared with Latinx descriptors. INTERPRETATION: Implicit bias is identifiable in ICU notes. Racial and ethnic group descriptors carry different contextual relationships to stigmatizing words, depending on when and where notes were written. Because NLP models seem able to transmit implicit bias from training data, use of NLP algorithms in clinical prediction could reinforce disparities. Active debiasing strategies may be necessary to achieve algorithmic fairness when using language models in clinical research.

Mobile Application-Based Communication Facilitation Platform for Family Members of Critically Ill Patients: A Randomized Clinical Trial.

Importance: Unmet and racially disparate palliative care needs are common in intensive care unit (ICU) settings. Objective: To test the effect of a primary palliative care intervention vs usual care control both overall and by family member race. Design, Setting, and Participants: This cluster randomized clinical trial was conducted at 6 adult medical and surgical ICUs in 2 academic and community hospitals in North Carolina between April 2019 and May 2022 with physician-level randomization and sequential clusters of 2 Black patient-family member dyads and 2 White patient-family member dyads enrolled under each physician. Eligible participants included consecutive patients receiving mechanical ventilation, their family members, and their attending ICU physicians. Data analysis was conducted from June 2022 to May 2023. Intervention: A mobile application (ICUconnect) that displayed family-reported needs over time and provided ICU attending physicians with automated timeline-driven communication advice on how to address individual needs. Main Outcomes and Measures: The primary outcome was change in the family-reported Needs at the End-of-Life Screening Tool (NEST; range 0-130, with higher scores reflecting greater need) score between study days 1 and 3. Secondary outcomes included family-reported quality of communication and symptoms of depression, anxiety, and posttraumatic stress disorder at 3 months. Results: A total of 111 (51% of those approached) family members (mean [SD] age, 51 [15] years; 96 women [86%]; 15 men [14%]; 47 Black family members [42%]; 64 White family members [58%]) and 111 patients (mean [SD] age, 55 [16] years; 66 male patients [59%]; 45 Black patients [41%]; 65 White patients [59%]; 1 American Indian or Alaska Native patient [1%]) were enrolled under 37 physicians randomized to intervention (19 physicians and 55 patient-family member dyads) or control (18 physicians and 56 patient-family member dyads). Compared with control, there was greater improvement in NEST scores among intervention recipients between baseline and both day 3 (estimated mean difference, -6.6 points; 95% CI, -11.9 to -1.3 points; P = .01) and day 7 (estimated mean difference, -5.4 points; 95% CI, -10.7 to 0.0 points; P = .05). There were no treatment group differences at 3 months in psychological distress symptoms. White family members experienced a greater reduction in NEST scores compared with Black family members at day 3 (estimated mean difference, -12.5 points; 95% CI, -18.9 to -6.1 points; P < .001 vs estimated mean difference, -0.3 points; 95% CI, -9.3 to 8.8 points; P = .96) and day 7 (estimated mean difference, -9.5 points; 95% CI, -16.1 to -3.0 points; P = .005 vs estimated mean difference, -1.4 points; 95% CI, -10.7 to 7.8; P = .76). Conclusions and Relevance: In this study of ICU patients and family members, a primary palliative care intervention using a mobile application reduced unmet palliative care needs compared with usual care without an effect on psychological distress symptoms at 3 months; there was a greater intervention effect among White family members compared with Black family members. These findings suggest that a mobile application-based intervention is a promising primary palliative care intervention for ICU clinicians that directly addresses the limited supply of palliative care specialists. Trial Registration: ClinicalTrials.gov Identifier: NCT03506438.

Defining the Time-limited Trial for Patients with Critical Illness: An Official American Thoracic Society Workshop Report.

In critical care, the specific, structured approach to patient care known as a "time-limited trial" has been promoted in the literature to help patients, surrogate decision makers, and clinicians navigate consequential decisions about life-sustaining therapy in the face of uncertainty. Despite promotion of the time-limited trial approach, a lack of consensus about its definition and essential elements prevents optimal clinical use and rigorous evaluation of its impact. The objectives of this American Thoracic Society Workshop Committee were to establish a consensus definition of a time-limited trial in critical care, identify the essential elements for conducting a time-limited trial, and prioritize directions for future work. We achieved these objectives through a structured search of the literature, a modified Delphi process with 100 interdisciplinary and interprofessional stakeholders, and iterative committee discussions. We conclude that a time-limited trial for patients with critical illness is a collaborative plan among clinicians and a patient and/or their surrogate decision makers to use life-sustaining therapy for a defined duration, after which the patient's response to therapy informs the decision to continue care directed toward recovery, transition to care focused exclusively on comfort, or extend the trial's duration. The plan's 16 essential elements follow four sequential phases: consider, plan, support, and reassess. We acknowledge considerable gaps in evidence about the impact of time-limited trials and highlight a concern that if inadequately implemented, time-limited trials may perpetuate unintended harm. Future work is needed to better implement this defined, specific approach to care in practice through a person-centered equity lens and to evaluate its impact on patients, surrogates, and clinicians.

Neighborhood Socioeconomic Disadvantage, Healthcare Access, and Outcomes of Hospitalizations for Common Pulmonary Conditions: A National Study of Medicare Beneficiaries.

Rationale: Understanding how systemic forces and environmental exposures impact patient outcomes is critical to advancing health equity and improving population health for patients with pulmonary disease. This relationship has not yet been assessed at the population level nationally. Objectives: To determine whether neighborhood socioeconomic deprivation is independently associated with 30-day mortality and readmission for hospitalized patients with pulmonary conditions, after controlling for demographics, access to healthcare resources, and characteristics of admitting healthcare facilities. Methods: This was a retrospective, population-level cohort study of 100% of United States nationwide Medicare inpatient and outpatient claims from 2016-2019. Patients were admitted for one of four pulmonary conditions (pulmonary infections, chronic lower respiratory disease, pulmonary embolism, and pleural and interstitial lung diseases), defined by diagnosis-related group. The primary exposure was neighborhood socioeconomic deprivation, measured by the area deprivation index. The main outcomes were 30-day mortality and 30-day unplanned readmission, defined by Centers for Medicare and Medicaid Services methodologies. Generalized estimating equations were used to estimate logistic regression models for the primary outcomes, addressing clustering by hospital. A sequential adjustment strategy was first adjusted for age, legal sex, Medicare-Medicaid dual eligibility, and comorbidity burden, then adjusted for metrics of access to healthcare resources, and finally adjusted for characteristics of the admitting healthcare facility. Results: After full adjustment, patients from low socioeconomic status neighborhoods had greater 30-day mortality after admission for pulmonary embolism (odds ratio [OR], 1.26; 95% confidence interval [CI], 1.13-1.40), respiratory infections (OR, 1.20; 95% CI, 1.16-1.25), chronic lower respiratory disease (OR, 1.31; 95% CI, 1.22-1.41), and interstitial lung disease (OR, 1.15; 95% CI, 1.04-1.27) when compared to patients from the highest SES neighborhoods. Low neighborhood socioeconomic status was also associated with 30-day readmission for all groups except the interstitial lung disease group. Conclusions: Neighborhood socioeconomic deprivation may be a key factor driving poor health outcomes for patients with pulmonary diseases.