Mechanical Ventilation in Older Adults With Dementia: Opportunities to Promote Goal-Concordant Care.

CONTEXT: Recent studies show increasing use of mechanical ventilation among people living with dementia. There are concerns that this trend may not be driven by patient preferences. OBJECTIVES: To better understand decision-making regarding mechanical ventilation in people living with dementia. METHODS: This was an electronic health record-based retrospective cohort study of older adults with dementia (n = 295) hospitalized at one of two teaching hospitals between 2015 and 2019 who were supported with mechanical ventilation (n = 191) or died without mechanical ventilation (n = 104). Multivariable logistic regression was used to examine associations between patient characteristics and mechanical ventilation use. RESULTS: The median age was 78 years (IQR 71-86), 41% were female, 28% resided in a nursing home, and 58% had clinical markers of advanced dementia (dehydration, weight loss, mobility limitations, or pressure ulcers). Among patients supported with mechanical ventilation, 70% were intubated within 24 hours of presentation, including 31% intubated before hospital arrival. Younger age, higher illness acuity, and absence of a treatment-limiting Physician Orders for Life-Sustaining Treatment document were associated with mechanical ventilation use; nursing home residence and clinical markers of advanced dementia were not. Most patients (89%) had a documented goals of care discussion (GOCD) during hospitalization. CONCLUSION: Future efforts to promote goal-concordant care surrounding mechanical ventilation use for people living with dementia should involve identifying barriers to goal-concordant care in pre-hospital settings, assessing the timeliness of in-hospital GOCD, and developing strategies for in-the-moment crisis communication across settings.

Factors Associated with Costly Hospital Care among Patients with Dementia and Acute Respiratory Failure.

Rationale: Understanding contributors to costly and potentially burdensome care for patients with dementia is of interest to healthcare systems and may facilitate efforts to promote goal-concordant care. Objective: To identify risk factors, in particular whether an early goals-of-care discussion (GOCD) took place, for high-cost hospitalization among patients with dementia and acute respiratory failure. Methods: We conducted an electronic health record-based retrospective cohort study of 298 adults with dementia hospitalized with respiratory failure (receiving ⩾48 h of mechanical ventilation) within an academic healthcare system. We collected demographic and clinical characteristics, including clinical markers of advanced dementia (weight loss, pressure ulcers, hypernatremia, mobility limitations) and intensive care unit (ICU) service (medical, surgical, neurologic). We ascertained whether a GOCD was documented within 48 hours of ICU admission. We used logistic regression to identify patient characteristics associated with high-cost hospitalization measured using the hospital system accounting database and defined as total cost in the top third of the sample (⩾$145,000). We examined a path model that included hospital length of stay as a final mediator between exposure variables and high-cost hospitalization. Results: Patients in the sample had a median age of 71 (IQR, 62-79) years. Approximately half (49%) were admitted to a medical ICU, 29% to a surgical ICU, and 22% to a neurologic ICU. More than half (59%) had a clinical indicator of advanced dementia. A minority (31%) had a GOCD documented within 48 hours of ICU admission; those who did had a 50% lower risk of a high-cost hospitalization (risk ratio, 0.50; 95% confidence interval, 0.2-0.8). Older age, limited English proficiency, and nursing home residence were associated with a lower likelihood of high-cost hospitalization, whereas greater comorbidity burden and admission to a surgical or neurologic ICU compared with a medical ICU were associated with a higher likelihood of high-cost hospitalization. Conclusions: Early GOCDs for patients with dementia and respiratory failure may promote high-value care by ensuring aggressive and costly life support interventions are aligned with patients' goals. Future work should focus on increasing early palliative care delivery for patients with dementia and respiratory failure, in particular in surgical and neurologic ICU settings.

Palliative Care Consultation and Family-Centered Outcomes in Patients With Unplanned Intensive Care Unit Admissions.

Context: Hospitalized patients who experience unplanned intensive care unit (ICU) admissions face significant challenges, and their family members have unique palliative care needs. Objectives: To identify predictors of palliative care consultation among hospitalized patients with unplanned ICU admissions and to examine the association between palliative care consultation and family outcomes. Methods: We conducted a prospective cohort study of patients with unplanned ICU admissions at two medical centers in Seattle, WA. This study was approved by the institutional review board at the University of Washington (STUDY00008182). Using multivariable logistic regression, we examined associations between patient characteristics and palliative care consultation. Family members completed surveys assessing psychological distress within 90 days of patient discharge. Adjusted ordinal probit or binary logistic regression models were used to identify associations between palliative care consultation and family symptoms of psychological distress. Results: In our cohort (n = 413 patients and 272 family members), palliative care was consulted for 24% of patients during hospitalization (n = 100), with the majority (93%) of these consultations occurring after ICU admission. Factors associated with palliative care consultation after ICU transfer included enrollment site (OR, 2.29; 95% CI: 1.17-4.50), Sequential Organ Failure Assessment score at ICU admission (OR, 1.12; 95% CI: 1.05-1.19), and reason for hospital admission (kidney dysfunction [OR, 7.02; 95% CI: 1.08-45.69]). There was no significant difference in family symptoms of depression or posttraumatic stress based on palliative care consultation status. Conclusions: For patients experiencing unplanned ICU admission, palliative care consultation often happened after transfer and was associated with illness severity, comorbid illness, and hospital site. Patient death was associated with family symptoms of psychological distress.

Intervention to Promote Communication About Goals of Care for Hospitalized Patients With Serious Illness: A Randomized Clinical Trial.

Importance: Discussions about goals of care are important for high-quality palliative care yet are often lacking for hospitalized older patients with serious illness. Objective: To evaluate a communication-priming intervention to promote goals-of-care discussions between clinicians and hospitalized older patients with serious illness. Design, Setting, and Participants: A pragmatic, randomized clinical trial of a clinician-facing communication-priming intervention vs usual care was conducted at 3 US hospitals within 1 health care system, including a university, county, and community hospital. Eligible hospitalized patients were aged 55 years or older with any of the chronic illnesses used by the Dartmouth Atlas project to study end-of-life care or were aged 80 years or older. Patients with documented goals-of-care discussions or a palliative care consultation between hospital admission and eligibility screening were excluded. Randomization occurred between April 2020 and March 2021 and was stratified by study site and history of dementia. Intervention: Physicians and advance practice clinicians who were treating the patients randomized to the intervention received a 1-page, patient-specific intervention (Jumpstart Guide) to prompt and guide goals-of-care discussions. Main Outcomes and Measures: The primary outcome was the proportion of patients with electronic health record-documented goals-of-care discussions within 30 days. There was also an evaluation of whether the effect of the intervention varied by age, sex, history of dementia, minoritized race or ethnicity, or study site. Results: Of 3918 patients screened, 2512 were enrolled (mean age, 71.7 [SD, 10.8] years and 42% were women) and randomized (1255 to the intervention group and 1257 to the usual care group). The patients were American Indian or Alaska Native (1.8%), Asian (12%), Black (13%), Hispanic (6%), Native Hawaiian or Pacific Islander (0.5%), non-Hispanic (93%), and White (70%). The proportion of patients with electronic health record-documented goals-of-care discussions within 30 days was 34.5% (433 of 1255 patients) in the intervention group vs 30.4% (382 of 1257 patients) in the usual care group (hospital- and dementia-adjusted difference, 4.1% [95% CI, 0.4% to 7.8%]). The analyses of the treatment effect modifiers suggested that the intervention had a larger effect size among patients with minoritized race or ethnicity. Among 803 patients with minoritized race or ethnicity, the hospital- and dementia-adjusted proportion with goals-of-care discussions was 10.2% (95% CI, 4.0% to 16.5%) higher in the intervention group than in the usual care group. Among 1641 non-Hispanic White patients, the adjusted proportion with goals-of-care discussions was 1.6% (95% CI, -3.0% to 6.2%) higher in the intervention group than in the usual care group. There was no evidence of differential treatment effects of the intervention on the primary outcome by age, sex, history of dementia, or study site. Conclusions and Relevance: Among hospitalized older adults with serious illness, a pragmatic clinician-facing communication-priming intervention significantly improved documentation of goals-of-care discussions in the electronic health record, with a greater effect size in racially or ethnically minoritized patients. Trial Registration: ClinicalTrials.gov Identifier: NCT04281784.

Computed tomography body composition and clinical outcomes following lung transplantation in cystic fibrosis.

BACKGROUND: Low muscle mass is common in patients approaching lung transplantation and may be linked to worse post-transplant outcomes. Existing studies assessing muscle mass and post-transplant outcomes include few patients with cystic fibrosis (CF). METHODS: Between May 1993 and December 2018, 152 adults with CF received lung transplants at our institution. Of these, 83 met inclusion criteria and had usable computed tomography (CT) scans. Using Cox proportional hazards regression, we evaluated the association between pre-transplant thoracic skeletal muscle index (SMI) and our primary outcome of death after lung transplantation. Secondary outcomes, including days to post-transplant extubation and post-transplant hospital and intensive care unit (ICU) length of stay, were assessed using linear regression. We also examined associations between thoracic SMI and pre-transplant pulmonary function and 6-min walk distance. RESULTS: Median thoracic SMI was 26.95 cm2/m2 (IQR 23.97, 31.32) for men and 22.83 cm2/m2 (IQR 21.27, 26.92) for women. There was no association between pre-transplant thoracic SMI and death after transplant (HR 1.03; 95% CI 0.95, 1.11), days to post-transplant extubation, or post-transplant hospital or ICU length of stay. There was an association between pre-transplant thoracic SMI and pre-transplant FEV1% predicted (b = 0.39; 95% CI 0.14, 0.63), with higher SMI associated with higher FEV1% predicted. CONCLUSIONS: Skeletal muscle index was low for men and women. We did not identify a significant relationship between pre-transplant thoracic SMI and post-transplant outcomes. There was an association between thoracic SMI and pre-transplant pulmonary function, confirming the potential value of sarcopenia as a marker of disease severity.

Before-After Study of a Checklist to Improve Acute Care to ICU Handoffs.

Transferring care of a patient is a critical process. The objective of this study was to evaluate a checklist to standardize handoffs from acute care to the intensive care unit (ICU). This was a single-center, before-after study of a checklist to standardize transfers of patients from acute care to the medical-cardiac ICU. Clinicians completed surveys about handoffs before and after checklist implementation. The association between study period and survey data was analyzed using multivariable logistic regression with cross-classified multilevel models. Surveys were completed by 179 clinicians. After checklist implementation, handoffs were more likely to occur in the ICU (OR 17.23; 95% CI, 1.81-164.19) and cover patient treatment preferences (OR 2.73; 95% CI, 1.12-6.66). However, checklist uptake was suboptimal (30% of responses indicated checklist use). Implementation of a checklist during acute care to ICU transfers is challenging. Signals suggesting process improvement warrant additional study.

Predictors of Documented Goals-of-Care Discussion for Hospitalized Patients With Chronic Illness.

CONTEXT: Goals-of-care discussions are important for patient-centered care among hospitalized patients with serious illness. However, there are little data on the occurrence, predictors, and timing of these discussions. OBJECTIVES: To examine the occurrence, predictors, and timing of electronic health record (EHR)-documented goals-of-care discussions for hospitalized patients. METHODS: This retrospective cohort study used natural language processing (NLP) to examine EHR-documented goals-of-care discussions for adults with chronic life-limiting illness or age ≥80 hospitalized 2015-2019. The primary outcome was NLP-identified documentation of a goals-of-care discussion during the index hospitalization. We used multivariable logistic regression to evaluate associations with baseline characteristics. RESULTS: Of 16,262 consecutive, eligible patients without missing data, 5,918 (36.4%) had a documented goals-of-care discussion during hospitalization; approximately 57% of these discussions occurred within 24 hours of admission. In multivariable analysis, documented goals-of-care discussions were more common for women (OR=1.26, 95%CI 1.18-1.36), older patients (OR=1.04 per year, 95%CI 1.03-1.04), and patients with more comorbidities (OR=1.11 per Deyo-Charlson point, 95%CI 1.10-1.13), cancer (OR=1.88, 95%CI 1.72-2.06), dementia (OR=2.60, 95%CI 2.29-2.94), higher acute illness severity (OR=1.12 per National Early Warning Score point, 95%CI 1.11-1.14), or prior advance care planning documents (OR=1.18, 95%CI 1.08-1.30). Documentation of these discussions was less common for racially or ethnically minoritized patients (OR=0.823, 95%CI 0.75-0.90). CONCLUSION: Among hospitalized patients with serious illness, documented goals-of-care discussions identified by NLP were more common among patients with older age and increased burden of acute or chronic illness, and less common among racially or ethnically minoritized patients. This suggests important disparities in goals-of-care discussions.

Improving communication about goals of care for hospitalized patients with serious illness: Study protocol for two complementary randomized trials.

BACKGROUND: Although goals-of-care discussions are important for high-quality palliative care, this communication is often lacking for hospitalized older patients with serious illness. Electronic health records (EHR) provide an opportunity to identify patients who might benefit from these discussions and promote their occurrence, yet prior interventions using the EHR for this purpose are limited. We designed two complementary yet independent randomized trials to examine effectiveness of a communication-priming intervention (Jumpstart) for hospitalized older adults with serious illness. METHODS: We report the protocol for these 2 randomized trials. Trial 1 has two arms, usual care and a clinician-facing Jumpstart, and is a pragmatic trial assessing outcomes with the EHR only (n = 2000). Trial 2 has three arms: usual care, clinician-facing Jumpstart, and clinician- and patient-facing (bi-directional) Jumpstart (n = 600). We hypothesize the clinician-facing Jumpstart will improve outcomes over usual care and the bi-directional Jumpstart will improve outcomes over the clinician-facing Jumpstart and usual care. We use a hybrid effectiveness-implementation design to examine implementation barriers and facilitators. OUTCOMES: For both trials, the primary outcome is EHR documentation of a goals-of-care discussion within 30 days of randomization; additional outcomes include intensity of end-of-life care. Trial 2 also examines patient- or family-reported outcomes assessed by surveys targeting 3-5 days and 4-8 weeks after randomization including quality of goals-of-care communication, receipt of goal-concordant care, and psychological symptoms. CONCLUSIONS: This novel study incorporates two complementary randomized trials and a hybrid effectiveness-implementation approach to improve the quality and value of care for hospitalized older adults with serious illness. CLINICAL TRIALS REGISTRATION: STUDY00007031-A and STUDY00007031-B.

End-of-life healthcare utilization and palliative care use among older adults with limited English proficiency.

BACKGROUND: Little is known about end-of-life healthcare utilization and palliative care use among older adults with serious illness and limited English proficiency (LEP). METHODS: We conducted a retrospective analysis of seriously-ill older adults (65+) with and without LEP, from a large health system, who died between 2010 and 2018. Primary outcomes were measures of healthcare utilization in the last 30 and 180 days of life: hospitalization, emergency department (ED) visits, intensive care unit (ICU) admission, and 30-day readmission. Secondary outcomes were palliative care consultation and advance care planning documents. We used multivariate analyses adjusted for sociodemographic factors including race and ethnicity. RESULTS: Among 18,490 decedents, 1363 had LEP. Patients with LEP were older at time of death (median age 80 vs 77 years), more likely to be female (48% vs 44%), of Asian descent (64% vs 4%), of Hispanic ethnicity (10% vs 2%), with <12th grade education (38% vs 9%), and Medicaid (36% vs 6%). In the last 30 days of life, patients with LEP had higher odds of ED visits (33% vs 20%; aOR 1.41, 95% CI 1.26-1.72; p < 0.001), readmission (12% vs 8%; aOR 1.64, 95% CI 1.30-2.07; p < 0.001), and in-hospital death (45% vs 37%; aOR 1.24, 95% CI 1.07-1.44; p = 0.005) compared to patients without LEP. Findings were similar in the last 180-days of life. Only 14% of patients with LEP and 10% of those without LEP received palliative care consultation in the last month of life. Patients with LEP were less likely to have advance care planning documents than patients without LEP (36% vs 40%; aOR 0.68, 95% CI 0.50-0.80; p < 0.001). CONCLUSIONS: Older adults with serious illness and LEP have higher rates of end-of-life healthcare utilization. Additional research is needed to identify drivers of these differences and inform linguistically- and culturally-appropriate interventions to improve end-of-life care in this population.

Heterogeneity of Treatment Effect in a Randomized Trial of a Communication Intervention.

CONTEXT: Interventions to promote serious illness conversations have shown promise in promoting high-quality care. However, in randomized trials, some participants may benefit more from the intervention than others. OBJECTIVES: To examine heterogeneity of treatment effect and identify subgroups of patients with serious illness who might benefit most from interventions to enhance communication about goals of care. METHODS: We used data from a multi-center cluster-randomized trial evaluating a communication intervention to increase goals-of-care discussions in the outpatient setting. Patients (n = 249 intervention, n = 288 usual care) had serious illness with an expected median survival of two years. Using model-based recursive partitioning, we tested heterogeneity of the intervention's effect on the occurrence of patient-reported goals-of-care discussions, electronic health record documentation of goals-of-care discussions, patients' ratings of quality of communication, and patients' symptoms of psychological distress at three and six months. RESULTS: We found two significant interactions. For patients' overall rating of clinician communication (n = 251), the intervention effect was positive for patients with higher household income, but not those with lower income (P < 0.001). For patients' symptoms of depression at six months (n = 288), the intervention was associated with fewer symptoms of depression among those whose self-assessed health was poor, but not among those with fair to excellent health (P < 0.001). CONCLUSIONS: Identifying heterogeneity of treatment effect can be a valuable exercise following completion of a randomized trial. Interactions between the intervention and patient income and self-assessed health suggest these factors could be used to design more effective interventions to enhance communication about goals of care.

Efficacy of a Communication-Priming Intervention on Documented Goals-of-Care Discussions in Hospitalized Patients With Serious Illness: A Randomized Clinical Trial.

Importance: High-quality goals-of-care communication is critical to delivering goal-concordant, patient-centered care to hospitalized patients with chronic life-limiting illness. However, implementation and documentation of goals-of-care discussions remain important shortcomings in many health systems. Objective: To evaluate the efficacy, feasibility, and acceptability of a patient-facing and clinician-facing communication-priming intervention to promote goals-of-care communication for patients hospitalized with serious illness. Design, Setting, and Participants: This randomized clinical trial enrolled patients from November 6, 2018, to February 18, 2020. The setting was 2 hospitals in an academic health care system in Seattle, Washington. Participants included hospitalized adults with chronic life-limiting illness, aged 65 years or older and with markers of frailty, or aged 80 years or older. Data analysis was performed from August 2020 to August 2021. Intervention: Patients were randomized to usual care with baseline questionnaires (control) vs the Jumpstart communication-priming intervention. Patients or surrogates in the intervention group and their clinicians received patient-specific Jumpstart Guides populated with data from questionnaires and the electronic health records (EHRs) that were designed to prompt and guide a goals-of-care discussion. Main Outcomes and Measures: The primary outcome was EHR documentation of a goals-of-care discussion between randomization and hospital discharge. Additional outcomes included patient-reported or surrogate-reported goals-of-care discussions, patient-reported or surrogate-reported quality of communication, and intervention feasibility and acceptability. Results: Of 428 eligible patients, this study enrolled 150 patients (35% enrollment rate; mean [SD] age, 59.2 [13.6] years; 66 women [44%]; 132 [88%] by patient consent and 18 [12%] by surrogate consent). Seventy-five patients each were randomized to the intervention and control groups. Compared with the control group, the cumulative incidence of EHR-documented goals-of-care discussions between randomization and hospital discharge was higher in the intervention group (16 of 75 patients [21%] vs 6 of 75 patients [8%]; risk difference, 13% [95% CI, 2%-24%]; risk ratio, 2.67 [95% CI, 1.10-6.44]; P = .04). Patient-reported or surrogate-reported goals-of-care discussions did not differ significantly between groups (30 of 66 patients [45%] vs 36 of 66 patients [55%]), although the intrarater consistency of patient and surrogate reports was poor. Patient-rated or surrogate-rated quality of communication did not differ significantly between groups. The intervention was feasible and acceptable to patients, surrogates, and clinicians. Conclusions and Relevance: In this randomized clinical trial, a patient-facing and clinician-facing communication priming intervention for seriously ill, hospitalized patients promoted EHR-documented goals-of-care discussions before discharge with good feasibility and acceptability. Communication-priming interventions should be reexamined in a larger randomized clinical trial to better understand their effectiveness in the inpatient setting. Trial Registration: ClinicalTrials.gov Identifier: NCT03746392.

Advance Identification of Patients With Chronic Conditions and Acute Respiratory Failure at Greatest Risk for High-Intensity, Costly Care.

CONTEXT: Patients with underlying chronic illness requiring mechanical ventilation for acute respiratory failure are at risk for poor outcomes and high costs. OBJECTIVES: Identify characteristics at time of intensive care unit (ICU) admission that identify patients at highest risk for high-intensity, costly care. METHODS: Retrospective cohort study using electronic health and financial records (2011-2017) for patients requiring ≥48 hours of mechanical ventilation with ≥1 underlying chronic condition at an academic healthcare system. Main outcome was total cost of index hospitalization. Exposures of interest included number and type of chronic conditions. We used finite mixture models to identify the highest-cost group. RESULTS: 4,892 patients met study criteria. Median cost for index hospitalization was $135,238 (range, $9,748 -$3,176,065). Finite mixture modelling identified three classes with mean costs of $89,980, $150,603, and $277,712. Patients more likely to be in the high-cost class were: 1) < 72 years old (OR: 2.03; 95% CI:1.63, 2.52); 2) with dementia (OR: 1.55; 95% CI:1.17, 2.06) or chronic renal failure (OR: 1.27; 95% CI:1.08, 1.48); 3) weight loss ≥ 5% in year prior to hospital admission (OR: 1.25; 95% CI:1.05, 1.48); and 4) hospitalized during prior year (OR: 1.92; 95% CI:1.58, 2.35). CONCLUSION: Among patients with underlying chronic illness and acute respiratory failure, we identified characteristics associated with the highest costs of care. Identifying these patients may be of interest to healthcare systems and hospitals and serve as one indication to invest resources in palliative and supportive care programs that ensure this care is consistent with patients' goals.

Type of Intensive Care Unit Matters: Variations in Palliative Care for Critically Ill Patients with Chronic, Life-Limiting Illness.

Background: It is not clear whether use of specialty palliative care consults and "comfort measures only" (CMO) order sets differ by type of intensive care unit (ICU). A better understanding of palliative care provided to these patients may help address heterogeneity of care across ICU types. Objectives: Examine utilization of specialty palliative care consultation and CMO order sets across several different ICU types in a multihospital academic health care system. Design: Retrospective cohort study using Washington State death certificates and data from the electronic health record. Setting/Subjects: Adults with a chronic medical illness who died in an ICU at one of two hospitals from July 2013 through December 2018. Five ICU types were identified by patient population and attending physician specialty. Measurements: Documentation of a specialty palliative care consult during a patient's terminal ICU stay and a CMO order set at time of death. Results: For 2706 eligible decedents, ICU type was significantly associated with odds of palliative care consultation (p < 0.001) as well as presence of CMO order set at time of death (p < 0.001). Compared with medical ICUs, odds of palliative care consultation were highest in the cardiothoracic ICU and trauma ICU. Odds of CMO order set in place at time of death were highest in the neurology/neurosurgical ICU. Conclusion: Utilization of specialty palliative care consultations and CMO order sets varies across types of ICUs. Examining this variability within institutions may provide an opportunity to improve end-of-life care for patients with chronic, life-limiting illnesses who die in the ICU.

Family ratings of ICU care. Is there concordance within families?

PURPOSE: To examine heterogeneity of quality-of-care ratings within families and to examine possible predictors of concordance. MATERIALS AND METHODS: We examined two aspects of agreement within families: response similarity and the amount of exact concordance in responses in a cohort of Danish ICU family members participating in a questionnaire survey (the European Quality Questionnaire: euroQ2). RESULTS: Two hundred seventy-four family respondents representing 122 patients were included in the study. Identical ratings between family members occurred in 28%-59% of families, depending upon the specific survey item. In a smaller sample of 28 families whose patients died, between 39% and 86% gave identical responses to items rating end-of-life care. There was more response variance within than between families, yielding low estimates of intrafamily correlation. Statistics correcting for chance agreement also suggested modest within-family agreement. CONCLUSIONS: The finding that variance is higher within than between families suggests the value of including multiple participants within a family in order to capture varying points of view.

Predictors of Advance Care Planning Documentation in Patients With Underlying Chronic Illness Who Died of Traumatic Injury.

CONTEXT: Advance care planning (ACP) is difficult in the setting of a life-threatening trauma but may be equally important in this context, especially with increasing numbers of trauma victims being elderly or having multimorbidity. OBJECTIVES: Identify predictors of absent ACP documentation in the electronic health records of patients with underlying chronic illness who died of traumatic injury. METHODS: We used death records and electronic health records to identify decedents with chronic life-limiting illness who died of traumatic injury between 2010 and 2015 and to evaluate factors associated with documentation of living wills, durable powers of attorney, or physician orders for life-sustaining treatment. RESULTS: Only 22% of decedents had ACP documentation at time of injury. Among those without preinjury ACP documentation, 4% completed ACP documentation after injury. In multipredictor analyses, patients were less likely to have ACP documentation at the time of injury if they were younger (P < 0.001), had fewer chronic illnesses (P = 0.002), and had fewer nonsurgical hospitalizations (P = 0.042) in the year before injury. Among patients without ACP documentation before injury, those with fewer postinjury nonsurgical hospitalizations were less likely to complete ACP documentation after injury (P = 0.019). CONCLUSIONS: Our findings suggest that patient characteristics play an important role in the completion of ACP among patients with chronic life-limiting illness and who died from sudden severe injury. Interventions to improve ACP completion by patients with serious chronic conditions have the potential for increasing goal-concordant care in the event of traumatic injury.

Toward Understanding the Relationship Between Prioritized Values and Preferences for Cardiopulmonary Resuscitation Among Seriously Ill Adults.

CONTEXT: Prioritizing among potentially conflicting end-of-life values may help patients discriminate among treatments and allow clinicians to align treatments with values. OBJECTIVES: To investigate end-of-life values that patients prioritize when facing explicit trade-offs and identify predictors of patients whose values and treatment preferences seem inconsistent. METHODS: Analysis of surveys from a multi-center cluster-randomized trial of patients with serious illness. Respondents prioritized end-of-life values and identified cardiopulmonary resuscitation (CPR) preferences in two health states. RESULTS: Of 535 patients, 60% prioritized relief of discomfort over extending life, 17% prioritized extending life over relief of discomfort, and 23% were unsure. Patients prioritizing extending life were most likely to prefer CPR, with 93% preferring CPR in current health and 67% preferring CPR if dependent on others, compared with 69% and 21%, respectively, for patients prioritizing relief of discomfort, and 78% and 33%, respectively, for patients unsure of their prioritized value (P < 0.001 for all comparisons). Among patients prioritizing relief of discomfort, preference for CPR in current health was less likely among older patients (odds ratio 0.958 per year; 95% CI 0.935, 0.981) and more likely with better self-perceived health (odds ratio 1.402 per level of health; 95% CI 1.090, 1.804). CONCLUSION: Clinicians face challenges as they clarify patient values and align treatments with values. Patients' values predicted CPR preferences, but a substantial proportion of patients expressed CPR preferences that appeared potentially inconsistent with their primary value. Clinicians should question assumptions about relationships between values and CPR preferences. Further research is needed to identify ways to use values to guide treatment decisions.

Did a Goals-of-Care Discussion Happen? Differences in the Occurrence of Goals-of-Care Discussions as Reported by Patients, Clinicians, and in the Electronic Health Record.

CONTEXT: Goals-of-care discussions are associated with improved end-of-life care for patients and therefore may be used as a process measure in quality improvement, research, and reimbursement programs. OBJECTIVES: To examine three methods to assess occurrence of a goals-of-care discussion-patient report, clinician report, and documentation in the electronic health record (EHR)-at a clinic visit for seriously ill patients and determine whether each method is associated with patient-reported receipt of goal-concordant care. METHODS: We conducted a secondary analysis of a multicenter cluster-randomized trial, with 494 patients and 124 clinicians caring for them. Self-reported surveys collected from patients and clinicians two weeks after a clinic visit assessed occurrence of a goals-of-care discussion. Documentation of a goals-of-care discussion was abstracted from the EHR. Patient-reported receipt of goal-concordant care was assessed by survey two weeks after the visit. RESULTS: Fifty-two percent of patients reported occurrence of a goals-of-care discussion at the clinic visit; clinicians reported occurrence of a discussion at 66% of visits. EHR documentation occurred in 42% of visits (P < 0.001 for each compared with other two). Patients who reported occurrence of a goals-of-care discussion at the visit were more likely to report receipt of goal-concordant care than patients who reported no discussion (ß 0.441, 95% CI 0.190-0.692; P = 0.001). Neither occurrence of a discussion by clinician report nor by EHR documentation was associated with goal-concordant care. CONCLUSION: Different approaches to assess goals-of-care discussions give differing results, yet each may have advantages. Patient report is most likely to correlate with patient-reported receipt of goal-concordant care.

Intensity of End-of-Life Care for Patients with Hematologic Malignancies and the Role of Race/Ethnicity.

BACKGROUND: Racial/ethnic minority patients with nonhematologic malignancies (non-HM) have lower rates of hospice care, advance directive use, and palliative care utilization than non-Hispanic white (NHW) patients. Less is known regarding racial/ethnic minority patients with hematologic malignancies (HM). OBJECTIVES: To study hospital utilization among racial/ethnic minority patients with HM and compare end-of-life outcome measures to patients with non-HM. METHODS: We performed a retrospective cohort study (2010-2015) using electronic health records from an integrated academic health center to study differences in hospital utilization patterns and documentation of advance care planning between patients with HM and non-HM. In the subgroup with hematologic malignancy, we examined outcomes associated with racial/ethnic minority status. RESULTS: Among all patients in the last 30 days of life, those with HM had higher rates of inpatient care (odds ratio [OR], 1.96; 95% CI: 1.74-2.20; p < 0.001) and intensive care unit (ICU) care (OR, 3.50; 95% CI: 3.05-4.03; p < 0.001). Patients with HM were more likely to die in a hospital (OR, 2.75; 95% CI: 2.49-3.04; p < 0.001) than those with non-HM. Furthermore, during the last 30 days of life, among patients with HM, racial/ethnic minority patients were more likely to have more than one emergency room visit (OR, 6.81; 95% CI: 1.34-33.91; p = 0.02), 14+ days of inpatient care (OR, 1.60; 95% CI: 1.08-2.35; p = 0.02), longer stays in the ICU (OR, 1.26; 95% CI: 1.04-1.52; p = 0.02), and lower rates of advance directive documentation (OR, 0.60; 95% CI: 0.44-0.82; p < 0.01) than NHWs. CONCLUSION: Our findings suggest that racial/ethnic minority patients with HM have higher utilization of care at the end-of-life and lower rates of advance directives compared with NHW patients.

Quality of Communication and Trust in Patients With Serious Illness: An Exploratory Study of the Relationships of Race/Ethnicity, Socioeconomic Status, and Religiosity.

CONTEXT: Better understanding of clinicians' skill communicating with their patients and of patients' trust in clinicians is necessary to develop culturally sensitive palliative care interventions. Race/ethnicity, socioeconomic status, and religiosity have been documented as factors influencing quality of communication and trust. OBJECTIVES: The objective of this study was to explore associations of seriously ill patients' race/ethnicity, socioeconomic status, and religiosity with patients' ratings of the quality of clinicians' communication and trust in clinicians. METHODS: An observational analysis was performed using baseline data from a multicenter cluster-randomized trial of a communication intervention. We enrolled consecutive patients with chronic, life-limiting illnesses (n = 537) cared for by primary and specialty care clinicians (n = 128) between 2014 and 2016 in outpatient clinics in Seattle, Washington. We assessed patient demographics (age, gender, race/ethnicity, education, income, and self-rated health status), Duke University Religion Index, Quality of Communication Scale, and Wake Forest Physician Trust Scale. We used probit and linear regression and path analyses to examine associations. RESULTS: Patients providing higher ratings of clinician communication included those belonging to racial/ethnic minority groups (P = 0.001), those with lower income (P = 0.008), and those with high religiosity/spirituality (P = 0.004). Higher trust in clinicians was associated with minority status (P = 0.018), lower education (P = 0.019), and clinician skill in communication (P < 0.001). CONCLUSION: Contrary to prior studies, racial/ethnic minorities and patients with lower income rated communication higher and reported higher trust in their clinicians than white and higher income patients. More research is needed to identify and understand factors associated with quality communication and trust between seriously ill patients and clinicians to guide development of patient-centered palliative care communication interventions.

Race/Ethnicity, Socioeconomic Status, and Healthcare Intensity at the End of Life.

BACKGROUND: Although racial/ethnic minorities receive more intense, nonbeneficial healthcare at the end of life, the role of race/ethnicity independent of other social determinants of health is not well understood. OBJECTIVES: Examine the association between race/ethnicity, other key social determinants of health, and healthcare intensity in the last 30 days of life for those with chronic, life-limiting illness. SUBJECTS: We identified 22,068 decedents with chronic illness cared for at a single healthcare system in Washington State who died between 2010 and 2015 and linked electronic health records to death certificate data. DESIGN: Binomial regression models were used to test associations of healthcare intensity with race/ethnicity, insurance status, education, and median income by zip code. Path analyses tested direct and indirect effects of race/ethnicity with insurance, education, and median income by zip code used as mediators. MEASUREMENTS: We examined three measures of healthcare intensity: (1) intensive care unit admission, (2) use of mechanical ventilation, and (3) receipt of cardiopulmonary resuscitation. RESULTS: Minority race/ethnicity, lower income and educational attainment, and Medicaid and military insurance were associated with higher intensity care. Socioeconomic disadvantage accounted for some of the higher intensity in racial/ethnic minorities, but most of the effects were direct effects of race/ethnicity. CONCLUSIONS: The effects of minority race/ethnicity on healthcare intensity at the end of life are only partly mediated by other social determinants of health. Future interventions should address the factors driving both direct and indirect effects of race/ethnicity on healthcare intensity.