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.

Identification of Palliative Care Needs and Mental Health Outcomes Among Family Members of Patients With Severe Acute Brain Injury.

Importance: Family members of patients with severe acute brain injury (SABI) are at risk for poor psychological outcomes. Objective: To explore the utility of the early use of a palliative care needs checklist in identifying care needs of patients with SABI and family members who are at risk of poor psychological outcomes. Design, Setting, and Participants: This prospective cohort study included patients with SABI in an intensive care unit (ICU) for 2 days or more and a Glasgow Coma Scale score of 12 or lower and their family members. This single-center study was conducted at an academic hospital in Seattle, Washington, from January 2018 to June 2021. Data were analyzed from July 2021 to July 2022. Exposure: At enrollment, a 4-item palliative care needs checklist was completed separately by clinicians and family members. Main Outcomes and Measures: A single family member for each enrolled patient completed questionnaires assessing symptoms of depression and anxiety, perception of goal-concordant care, and satisfaction in the ICU. Six months later, family members assessed their psychological symptoms, decisional regret, patient functional outcome, and patient quality of life (QOL). Results: A total of 209 patient-family member pairs (family member mean [SD] age, 51 [16] years; 133 women [64%]; 18 Asian [9%], 21 Black [10%], 20 [10%] Hispanic, and 153 White [73%] participants) were included. Patients had experienced stroke (126 [60%]), traumatic brain injury (62 [30%]), and hypoxic-ischemic encephalopathy (21 [10%]). At least 1 need was identified for 185 patients or their families (88%) by family members and 110 (53%) by clinicians (κ = -0.007; 52% agreement). Symptoms of at least moderate anxiety or depression were present in 50% of family members at enrollment (87 with anxiety and 94 with depression) and 20% at follow-up (33 with anxiety and 29 with depression). After adjustment for patient age, diagnosis, and disease severity and family race and ethnicity, clinician identification of any need was associated with greater goal discordance (203 participants; relative risk = 1.7 [95% CI, 1.2 to 2.5]) and family decisional regret (144 participants; difference in means, 17 [95% CI, 5 to 29] points). Family member identification of any need was associated with greater symptoms of depression at follow-up (150 participants; difference in means of Patient Health Questionnaire-2, 0.8 [95% CI, 0.2 to 1.3] points) and worse perceived patient QOL (78 participants; difference in means, -17.1 [95% CI, -33.6 to -0.5] points). Conclusions and Relevance: In this prospective cohort study of patients with SABI and their families, palliative care needs were common, although agreement on needs was poor between clinicians and family members. A palliative care needs checklist completed by clinicians and family members may improve communication and promote timely, targeted management of needs.

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 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.

Value Placed on Comfort vs Life Prolongation Among Patients Treated With Maintenance Dialysis.

Importance: Patients receiving maintenance dialysis experience intensive patterns of end-of-life care that might not be consistent with their values. Objective: To evaluate the association of patients' health care values with engagement in advance care planning and end-of-life care. Design, Setting, and Participants: Survey study of patients who received maintenance dialysis between 2015 and 2018 at dialysis centers in the greater metropolitan areas of Seattle, Washington, and Nashville, Tennessee, with longitudinal follow-up of decedents. Logistic regression models were used to estimate probabilities. Data analysis was conducted between May and October 2022. Exposures: A survey question about the value that the participant would place on longevity-focused vs comfort-focused care if they were to become seriously ill. Main Outcomes and Measures: Self-reported engagement in advance care planning and care received near the end of life through 2020 using linked kidney registry data and Medicare claims. Results: Of 933 patients (mean [SD] age, 62.6 [14.0] years; 525 male patients [56.3%]; 254 [27.2%] identified as Black) who responded to the question about values and could be linked to registry data (65.2% response rate [933 of 1431 eligible patients]), 452 (48.4%) indicated that they would value comfort-focused care, 179 (19.2%) that they would value longevity-focused care, and 302 (32.4%) that they were unsure about the intensity of care they would value. Many had not completed an advance directive (estimated probability, 47.5% [95% CI, 42.9%-52.1%] of those who would value comfort-focused care vs 28.1% [95% CI, 24.0%-32.3%] of those who would value longevity-focused care or were unsure; P < .001), had not discussed hospice (estimated probability, 28.6% [95% CI, 24.6%-32.9%] comfort focused vs 18.2% [95% CI, 14.7%-21.7%] longevity focused or unsure; P < .001), or had not discussed stopping dialysis (estimated probability, 33.3% [95% CI, 29.0%-37.7%] comfort focused vs 21.9% [95% CI, 18.2%-25.8%] longevity focused or unsure; P < .001). Most respondents wanted to receive cardiopulmonary resuscitation (estimated probability, 78.0% [95% CI, 74.2%-81.7%] comfort focused vs 93.9% [95% CI, 91.4%-96.1%] longevity focused or unsure; P < .001) and mechanical ventilation (estimated probability, 52.0% [95% CI, 47.4%-56.6%] comfort focused vs 77.9% [95% CI, 74.0%-81.7%] longevity focused or unsure; P < .001). Among decedents, the percentages of participants who received an intensive procedure during the final month of life (estimated probability, 23.5% [95% CI, 16.5%-31.0%] comfort focused vs 26.1% [95% CI, 18.0%-34.5%] longevity focused or unsure; P = .64), discontinued dialysis (estimated probability, 38.3% [95% CI, 32.0%-44.8%] comfort focused vs 30.2% [95% CI, 23.0%-37.8%] longevity focused or unsure; P = .09), and enrolled in hospice (estimated probability, 32.2% [95% CI, 25.7%-38.7%] comfort focused vs 23.3% [95% CI, 16.4%-30.5%] longevity focused or unsure; P = .07) were not statistically different. Conclusions and Relevance: This survey study found that there appeared to be a disconnect between patients' expressed values, which were largely comfort focused, and their engagement in advance care planning and end-of-life care, which reflected a focus on longevity. These findings suggest important opportunities to improve the quality of care for patients receiving dialysis.

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.

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.

Assessment of Discordance Between Physicians and Family Members Regarding Prognosis in Patients With Severe Acute Brain Injury.

Importance: Shared decision-making requires key stakeholders to align in perceptions of prognosis and likely treatment outcomes. Objective: For patients with severe acute brain injury, the objective of this study was to better understand prognosis discordance between physicians and families by determining prevalence and associated factors. Design, Setting, and Participants: This mixed-methods cross-sectional study analyzed a cohort collected from January 4, 2018, to July 22, 2020. This study was conducted in the medical and cardiac intensive care units of a single neuroscience center. Participants included families, physicians, and nurses of patients admitted with severe acute brain injury. Exposures: Severe acute brain injury was defined as stroke, traumatic brain injury, or hypoxic ischemic encephalopathy with a Glasgow Coma Scale score less than or equal to 12 points after hospital day 2. Main Outcomes and Measures: Prognosis discordance was defined as a 20% or greater difference between family and physician prognosis predictions; misunderstanding was defined as a 20% or greater difference between physician prediction and the family's estimate of physician prediction; and optimistic belief difference was defined as any difference (>0%) between family prediction and their estimate of physician prediction. Logistic regression was used to identify associations with discordance. Optimistic belief differences were analyzed as a subgroup of prognosis discordance. Results: Among 222 enrolled patients, prognostic predictions were available for 193 patients (mean [SD] age, 57 [19] years; 106 men [55%]). Prognosis discordance occurred for 118 patients (61%) and was significantly more common among families who identified with minoritized racial groups compared with White families (odds ratio [OR], 3.14; CI, 1.40-7.07, P = .006); among siblings (OR, 4.93; 95% CI, 1.35-17.93, P = .02) and adult children (OR, 2.43; 95% CI, 1.10-5.37; P = .03) compared with spouses; and when nurses perceived family understanding as poor compared with good (OR, 3.73; 95% CI, 1.88-7.40; P < .001). Misunderstanding was present for 80 of 173 patients (46%) evaluated for this type of prognosis discordance, and optimistic belief difference was present for 94 of 173 patients (54%). In qualitative analysis, faith and uncertainty emerged as themes underlying belief differences. Nurse perception of poor family understanding was significantly associated with misunderstanding (OR, 2.06; 95% CI, 1.07-3.94; P = .03), and physician perception with optimistic belief differences (OR, 2.32; 95% CI, 1.10-4.88; P = .03). Conclusions and Relevance: Results of this cross-sectional study suggest that for patients with severe acute brain injury, prognosis discordance between physicians and families was common. Efforts to improve communication and decision-making should aim to reduce this discordance and find ways to target both misunderstanding and optimistic belief differences.

Family Members' Understanding of the End-of-Life Wishes of People Undergoing Maintenance Dialysis.

BACKGROUND AND OBJECTIVES: People receiving maintenance dialysis must often rely on family members and other close persons to make critical treatment decisions toward the end of life. Contemporary data on family members' understanding of the end-of-life wishes of members of this population are lacking. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Among 172 family members of people undergoing maintenance dialysis, we ascertained their level of involvement in the patient's care and prior discussions about care preferences. We also compared patient and family member responses to questions about end-of-life care using percentage agreement and the κ-statistic. RESULTS: The mean (SD) age of the 172 enrolled family members was 55 (±17) years, 136 (79%) were women, and 43 (25%) were Black individuals. Sixty-seven (39%) family members were spouses or partners of enrolled patients. A total of 137 (80%) family members had spoken with the patient about whom they would want to make medical decisions, 108 (63%) had spoken with the patient about their treatment preferences, 47 (27%) had spoken with the patient about stopping dialysis, and 56 (33%) had spoken with the patient about hospice. Agreement between patient and family member responses was highest for the question about whether the patient would want cardiopulmonary resuscitation (percentage agreement 83%, κ=0.31), and was substantially lower for questions about a range of other aspects of end-of-life care, including preference for mechanical ventilation (62%, 0.21), values around life prolongation versus comfort (45%, 0.13), preferred place of death (58%, 0.07), preferred decisional role (54%, 0.15), and prognostic expectations (38%, 0.15). CONCLUSIONS: Most surveyed family members reported they had spoken with the patient about their end-of-life preferences but not about stopping dialysis or hospice. Although family members had a fair understanding of patients' cardiopulmonary resuscitation preferences, most lacked a detailed understanding of their perspectives on other aspects of end-of-life care.

The Patient and Family Member Experience of Financial Stress Related to Critical Illness.

Background: The experience of financial stress during and after critical illness for patients and their family is poorly understood. Objectives: Our objectives were to (1) explore common financial concerns, their contribution to emotional stress, and potential opportunities for interventions to reduce financial stress in patients with critical illness and their family members; and (2) confirm patient and family members' willingness to provide information on this topic. Design: Cross-sectional survey study. Setting/Subjects: Patients (18/24, response rate 75%) and their family members (32/58, response rate 55%) from two prior randomized trials at an urban, level 1 Trauma center. Results: Ten (56%) patients and 19 (70%) family members reported financial worries during an intensive care unit (ICU) stay; 70% of both groups reported financial worries post-ICU discharge. Thirty percent (3/10) of patients and 43% (10/23) of family members who were not asked about financial concerns by hospital staff wished that they had been asked. Both patients and family believed that it would have been helpful to have information about insurance coverage, interpreting hospital bills, and estimated out-of-pocket costs. Among patients, 47% favored receiving these services after the ICU stay (7/15), while 20% (3/15) preferred these services in the ICU; 73% of family members preferred receiving them during the ICU stay (22/30), while 27% (8/30) preferred these services after the ICU stay. Conclusion: Our findings suggest that the experience of financial stress and the worry it causes during and after critical illness are common and potentially modifiable with simple targeted interventions.

Postdoctoral Research Training in Palliative Care: Lessons Learned From a T32 Program.

Our aging population and advances in chronic disease management that prolong the time that patients live with a chronic illness have combined to create an enormous need for improved palliative care research across diverse diseases. In this article, we describe the structure and processes of a National Institutes of Health-funded T32 postdoctoral research fellowship at the University of Washington and our experiences in developing and implementing the program. We recognize a broad definition of palliative care research, including research focused on improving quality of life, minimizing symptoms, providing psychological and spiritual support, and improving communication about patients' values and goals of care, all in the context of a serious illness. We describe our four core principles for postdoctoral training in palliative care research, each with a number of specific approaches: 1) mastering a set of essential content and research skills; 2) structured mentoring and academic career development; 3) creating and supporting early success; and 4) interdisciplinary training and team science. In addition, we also describe our framework for the essential competencies necessary for a palliative care research training program, our methods for identification and selection of applicants, our outcomes to date, and our processes of continuous quality assessment and improvement. Our goal is to describe our successful postdoctoral research training program in palliative care to promote development of new programs and share information between programs to continue to build the field of collaborative and interdisciplinary palliative care research.

Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE).

Importance: Prognostic understanding can shape patients' treatment goals and preferences. Patients undergoing dialysis in the United States have limited life expectancy and may receive end-of-life care directed at life extension. Little is known about their prognostic expectations. Objective: To understand the prognostic expectations of patients undergoing dialysis and how these relate to care planning, goals, and preferences. Design, Setting, and Participants: Cross-sectional survey study of 996 eligible patients treated with regular dialysis at 31 nonprofit dialysis facilities in 2 metropolitan areas (Seattle, Washington, and Nashville, Tennessee) between April 2015 and October 2018. After a pilot phase, 1434 eligible patients were invited to participate (response rate, 69.5%). To provide a context for interpreting survey participants' prognostic estimates, United States Renal Data System standard analysis files were used to construct a comparison cohort of 307 602 patients undergoing in-center hemodialysis on January 1, 2006, and followed for death through July 31, 2017. Final analyses for this study were conducted between November 2018 and March 2019. Exposures: Responses to the question "How long would you guess people your age with similar health conditions usually live?" (<5 years, 5-10 years, >10 years, or not sure). Main Outcomes and Measures: Self-reported (1) documentation of a surrogate decision-maker, (2) documentation of treatment preferences, (3) values around life prolongation, (4) preferences for receipt of cardiopulmonary resuscitation and mechanical ventilation, and (5) desired place of death. Results: Of the 996 survey respondents, the mean (SD) age was 62.7 (13.9) years, and 438 (44.0%) were women. Overall, 112 (11.2%) survey respondents selected a prognosis of fewer than 5 years, 150 (15.1%) respondents selected 5 to 10 years, 330 (33.1%) respondents selected more than 10 years, and 404 (40.6%) were not sure. By comparison, 185 427 (60.3%) prevalent US in-center patients undergoing hemodialysis died within 5 years, 58 437 (19.0%) died within 5 to 10 years, and 63 738 (20.7%) lived more than 10 years. In analyses adjusted for participant characteristics, survey respondents with a prognostic expectation of more than 10 years (vs <5 years) were less likely to report documentation of a surrogate decision-maker (adjusted odds ratio [aOR], 0.6; 95% CI, 0.4-0.9) and treatment preferences (aOR, 0.4; 95% CI, 0.2-0.6) and to value comfort over life extension (aOR, 0.1; 95% CI, 0.04-0.3), and were more likely to want cardiopulmonary resuscitation (aOR, 5.3; 95% CI, 3.2-8.7) and mechanical ventilation (aOR, 2.2; 95% CI, 1.2-3.7). The respondents who reported that they were not sure about prognosis had similar associations. Conclusions and Relevance: Uncertain and overly optimistic prognostic expectations may limit the benefit of advance care planning and contribute to high-intensity end-of-life care in patients undergoing dialysis.

Global Health-related Training Opportunities. A National Survey of Pulmonary and Critical Care Medicine Fellowship Programs.

Rationale: Clinical and research training opportunities in global health are of increasing interest to medical trainees, but little is known about such opportunities in U.S.-based pulmonary and pulmonary/critical care medicine (PCCM) fellowship programs.Objectives: Summarize currently available global health-related training opportunities and identify potential barriers to implementing global health curricula among U.S.-based PCCM fellowship programs.Methods: We sent a confidential, online, targeted needs assessment to PCCM fellowship program directors and associate program directors. Data collected included program demographics, currently available global health-related clinical and research training opportunities, potential barriers to the implementation of global health-related programmatic content, and perceived interest in global health-related training opportunities by current and/or prospective trainees. To evaluate for nonresponse bias, we performed an online search to identify global health-related training opportunities offered by nonresponding programs.Results: Out of 171 surveyed programs, 63 PCCM fellowship programs (37%) provided survey responses. Most responses (n = 56, 89%) were from combined PCCM training programs; 66% (n = 40) of programs offered at least one component of global health-related clinical or research training. Overall, 27% (n = 17) had a Ruth L. Kirschstein National Research Service Award Institutional Research Training Grant (National Institutes of Health T32), 73% (n = 46) had fewer than 35 faculty members, and 51% (n = 32) had at least one faculty member conducting global health-focused research. Most responding programs (66%, n = 40) offered at least one global health-related educational component. Among programs that would like to offer global health-related training components, the most common barriers included competing priorities for lecture content and a lack of in-division mentors with global health experience, a champion for global health-related activities, and established partnerships outside the United States.Conclusions: PCCM program leaders are interested in offering global health-related training opportunities, but important barriers include lack of mentorship, dedicated fellowship time, and established global partnerships. Future research is needed to better understand global health-related interests and training needs of incoming fellows and to design creative solutions for providing global health-related training across academic institutions with variable global health-related training capacities.

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.

Prevalence, Risk Factors, and Outcomes of Financial Stress in Survivors of Critical Illness.

OBJECTIVES: Little is known about the experience of financial stress for patients who survive critical illness or their families. Our objective was to describe the prevalence of financial stress among critically ill patients and their families, identify clinical and demographic characteristics associated with this stress, and explore associations between financial stress and psychologic distress. DESIGN: Secondary analysis of a randomized trial comparing a coping skills training program and an education program for patients surviving acute respiratory failure and their families. SETTING: Five geographically diverse hospitals. PARTICIPANTS: Patients (n = 175) and their family members (n = 85) completed surveys within 2 weeks of arrival home and 3 and 6 months after randomization. MEASUREMENTS AND MAIN RESULTS: We used regression analyses to assess associations between patient and family characteristics at baseline and financial stress at 3 and 6 months. We used path models and mediation analyses to explore relationships between financial stress, symptoms of anxiety and depression, and global mental health. Serious financial stress was high at both time points and was highest at 6 months (42.5%) among patients and at 3 months (48.5%) among family members. Factors associated with financial stress included female sex, young children at home, and baseline financial discomfort. Experiencing financial stress had direct effects on symptoms of anxiety (ß = 0.260; p < 0.001) and depression (ß = 0.048; p = 0.048). CONCLUSIONS: Financial stress after critical illness is common and associated with symptoms of anxiety and depression. Our findings provide direction for potential interventions to reduce this stress and improve psychologic outcomes for patients and their families.

Exploring Opportunities for Primary Outpatient Palliative Care for Adults with Cystic Fibrosis: A Mixed-Methods Study of Patients' Needs.

BACKGROUND: Persons with cystic fibrosis (CF) experience high morbidity and mortality, yet little is known about their palliative care needs and how clinicians may address these needs. OBJECTIVES: (1) To identify palliative care and advance care planning needs of patients with CF and their families; and (2) to identify clinicians' potential roles in meeting these needs. METHODS: A mixed-methods study of adult patients (age ≥18 years) with moderate-to-severe CF [forced expiratory volume in the first second (FEV1) <65% predicted] were recruited from a CF Center. Semi-structured interviews (30-60 minutes) and questionnaires were administered in person or by phone. Grounded theory was used to analyze the interviews. Questionnaires were analyzed descriptively. RESULTS: Forty-nine patients (FEV1 % range = 19%-63%) participated; the participation rate was 80% for eligible patients. Three main domains of palliative care needs were identified: (1) to be listened to, feel heard, and be "seen"; (2) understanding the context around CF and its trajectory, with the goal of preparing for the future; and (3) information about, and potential solutions to, practical and current circumstances that cause stress. In questionnaires, few patients (4.3%) reported talking with their clinician about their wishes for care if they were to become sicker, but mixed-methods data demonstrated that more than half of participants were willing to receive palliative care services provided those services were adapted to CF. CONCLUSION: Patients expressed a need for and openness to palliative care services, as well as some reluctance. They appreciated clinician communication that was open, forthcoming, and attuned to individualized concerns.

Accountability for Community-Based Programs for the Seriously Ill.

Innovation is needed to improve care of the seriously ill, and there are important opportunities as we transition from a volume- to value-based payment system. Not all seriously ill are dying; some recover, while others are persistently functionally impaired. While we innovate in service delivery and payment models for the seriously ill, it is important that we concurrently develop accountability that ensures a focus on high-quality care rather than narrowly focusing on cost containment. The Gordon and Betty Moore Foundation convened a meeting of 45 experts to arrive at guiding principles for measurement, create a starter measurement set, specify a proposed definition of the denominator and its refinement, and identify research priorities for future implementation of the accountability system. A series of articles written by experts provided the basis for debate and guidance in formulating a path forward to develop an accountability system for community-based programs for the seriously ill, outlined in this article. As we innovate in existing population-based payment programs such as Medicare Advantage and develop new alternative payment models, it is important and urgent that we develop the foundation for accountability along with actionable measures so that the healthcare system ensures high-quality person- and family-centered care for persons who are seriously ill.

Self-Assessment Scores Improve After Simulation-Based Palliative Care Communication Skill Workshops.

BACKGROUND: We conducted a randomized trial of a simulation-based multisession workshop to improve palliative care communication skills (Codetalk). Standardized patient assessments demonstrated improved communication skills for trainees receiving the intervention; however, patient and family assessments failed to demonstrate improvement. This article reports findings from trainees' self-assessments. AIM: To examine whether Codetalk resulted in improved self-assessed communication competence by trainees. DESIGN: Trainees were recruited from the University of Washington and the Medical University of South Carolina. Internal medicine residents, medicine subspecialty fellows, nurse practitioner students, or community-based advanced practice nurses were randomized to Codetalk, a simulation-based workshop, or usual education. The outcome measure was self-assessed competence discussing palliative care needs with patients and was assessed at the start and end of the academic year. We used robust linear regression models to predict self-assessed competency, both as a latent construct and as individual indicators, including randomization status and baseline self-assessed competency. RESULTS: We randomized 472 trainees to the intervention (n = 232) or usual education (n = 240). The intervention was associated with an improvement in trainee's overall self-assessment of competence in communication skills ( P < .001). The intervention was also associated with an improvement in trainee self-assessments of 3 of the 4 skill-specific indicators-expressing empathy, discussing spiritual issues, and eliciting goals of care. CONCLUSION: Simulation-based communication training was associated with improved self-assessed competency in overall and specific communication skills in this randomized trial. Further research is needed to fully understand the importance and limitations of self-assessed competence in relation to other outcomes of improved communication skill.

Temporal Trends Between 2010 and 2015 in Intensity of Care at End-of-Life for Patients With Chronic Illness: Influence of Age Under vs. Over 65 Years.

CONTEXT: Recent analyses of Medicare data show decreases over time in intensity of end-of-life care. Few studies exist regarding trends in intensity of end-of-life care for those under 65 years of age. OBJECTIVES: To examine recent temporal trends in place of death, and both hospital and intensive care unit (ICU) utilization, for age-stratified decedents with chronic, life-limiting diagnoses (<65 vs. ≥65 years) who received care in a large healthcare system. METHODS: Retrospective cohort using death certificates and electronic health records for 22,068 patients with chronic illnesses who died between 2010 and 2015. We examined utilization overall and stratified by age using multiple regression. RESULTS: The proportion of deaths at home did not change, but hospital admissions in the last 30 days of life decreased significantly from 2010 to 2015 (hospital b = -0.026; CI = -0.041, -0.012). ICU admissions in the last 30 days also declined over time for the full sample and for patients aged 65 years or older (overall b = -0.023; CI = -0.039, -0.007), but was not significant for younger decedents. Length of stay (LOS) did not decrease for those using the hospital or ICU. CONCLUSION: From 2010 to 2015, we observed a decrease in hospital admissions for all age groups and in ICU admissions for those over 65 years. As there were no changes in the proportion of patients with chronic illness who died at home nor in hospital or ICU LOS in the last 30 days, hospital and ICU admissions in the last 30 days may be a more responsive quality metric than site of death or LOS for palliative care interventions.

Palliative Care Needs Assessment in the Neuro-ICU: Effect on Family.

BACKGROUND: Examine the association of a daily palliative care needs checklist on outcomes for family members of patients discharged from the neurosciences intensive care unit (neuro-ICU). METHODS: We conducted a prospective, longitudinal cohort study in a single, thirty-bed neuro-ICU in a regional comprehensive stroke and level 1 trauma center. One of two neuro-ICU services that admit patients to the same ICU on alternating days used a palliative care needs checklist during morning work rounds. Between March and October, 2015, surveys were mailed to family members of patients discharged from the neuro-ICU. RESULTS: Nearly half of surveys (n = 91, 48.1%) were returned at a median of 4.7 months. At the time of survey completion, mean Modified rankin scale score (mRS) of neuro-ICU patients was 3.1 (SD 2). Overall ratings of quality of care were relatively high (82.2 on a 0-100 scale) with 32% of family members meeting screening criteria for depressive syndrome. The primary outcome measuring family satisfaction, consisting of eight items from the Family Satisfaction in the ICU questionnaire, did not differ significantly between families of patients from either ICU service nor did family ratings of depression (PHQ-8) and post-traumatic stress (PCL-17). CONCLUSIONS: Among families of patients discharged from the neuro-ICU, the daily use of a palliative care needs checklist had no measurable effect on family satisfaction scores or long-term psychological outcomes. Further research is needed to identify optimal interventions to meet the palliative care needs specific to family members of patients treated in the neuro-ICU.

Patterns of Cost for Patients Dying in the Intensive Care Unit and Implications for Cost Savings of Palliative Care Interventions.

BACKGROUND: Terminal intensive care unit (ICU) stays represent an important target to increase value of care. OBJECTIVE: To characterize patterns of daily costs of ICU care at the end of life and, based on these patterns, examine the role for palliative care interventions in enhancing value. DESIGN: Secondary analysis of an intervention study to improve quality of care for critically ill patients. SETTING/PATIENTS: 572 patients who died in the ICU between 2003 and 2005 at a Level-1 trauma center. METHODS: Data were linked with hospital financial records. Costs were categorized into direct fixed, direct variable, and indirect costs. Patterns of daily costs were explored using generalized estimating equations stratified by length of stay, cause of death, ICU type, and insurance status. Estimates from the literature of effects of palliative care interventions on ICU utilization were used to simulate potential cost savings under different time horizons and reimbursement models. MAIN RESULTS: Mean cost for a terminal ICU stay was 39.3K ± 45.1K. Direct fixed costs represented 45% of total hospital costs, direct variable costs 20%, and indirect costs 34%. Day of admission was most expensive (mean 9.6K ± 7.6K); average cost for subsequent days was 4.8K ± 3.4K and stable over time and patient characteristics. CONCLUSIONS: Terminal ICU stays display consistent cost patterns across patient characteristics. Savings can be realized with interventions that align care with patient preferences, helping to prevent unwanted ICU utilization at end of life. Cost modeling suggests that implications vary depending on time horizon and reimbursement models.