Posttraumatic stress disorder symptoms in patients with acute myeloid leukemia.

BACKGROUND: Patients with acute myeloid leukemia (AML) receiving intensive chemotherapy face a life-threatening illness, isolating hospitalization, and substantial physical and psychological symptoms. However, data are limited regarding risk factors of posttraumatic stress disorder (PTSD) symptoms in this population. METHODS: The authors conducted a secondary analysis of data from 160 patients with high-risk AML who were enrolled in a supportive care trial. The PTSD Checklist-Civilian Version was used to assess PTSD symptoms at 1 month after AML diagnosis. The Brief COPE and the Functional Assessment of Cancer Therapy-Leukemia were to assess coping and quality of life (QOL), respectively. In addition, multivariate regression models were constructed to assess the relation between PTSD symptoms and baseline sociodemographic factors, coping, and QOL. RESULTS: Twenty-eight percent of patients reported PTSD symptoms, describing high rates of intrusion, avoidance, and hypervigiliance. Baseline sociodemographic factors significantly associated with PTSD symptoms were age (B = -0.26; P = .002), race (B = -8.78; P = .004), and postgraduate education (B = -6.30; P = .029). Higher baseline QOL (B = -0.37; P ≤ .001) and less decline in QOL during hospitalization (B = -0.05; P = .224) were associated with fewer PTSD symptoms. Approach-oriented coping (B = -0.92; P = .001) was associated with fewer PTSD symptoms, whereas avoidant coping (B = 2.42; P ≤ .001) was associated with higher PTSD symptoms. CONCLUSIONS: A substantial proportion of patients with AML report clinically significant PTSD symptoms 1 month after initiating intensive chemotherapy. Patients' baseline QOL, coping strategies, and extent of QOL decline during hospitalization emerge as important risk factors for PTSD, underscoring the need for supportive oncology interventions to reduce the risk of PTSD in this population.

Electronic Health Record Mortality Prediction Model for Targeted Palliative Care Among Hospitalized Medical Patients: a Pilot Quasi-experimental Study.

BACKGROUND: Development of electronic health record (EHR) prediction models to improve palliative care delivery is on the rise, yet the clinical impact of such models has not been evaluated. OBJECTIVE: To assess the clinical impact of triggering palliative care using an EHR prediction model. DESIGN: Pilot prospective before-after study on the general medical wards at an urban academic medical center. PARTICIPANTS: Adults with a predicted probability of 6-month mortality of ≥ 0.3. INTERVENTION: Triggered (with opt-out) palliative care consult on hospital day 2. MAIN MEASURES: Frequencies of consults, advance care planning (ACP) documentation, home palliative care and hospice referrals, code status changes, and pre-consult length of stay (LOS). KEY RESULTS: The control and intervention periods included 8 weeks each and 138 admissions and 134 admissions, respectively. Characteristics between the groups were similar, with a mean (standard deviation) risk of 6-month mortality of 0.5 (0.2). Seventy-seven (57%) triggered consults were accepted by the primary team and 8 consults were requested per usual care during the intervention period. Compared to historical controls, consultation increased by 74% (22 [16%] vs 85 [63%], P < .001), median (interquartile range) pre-consult LOS decreased by 1.4 days (2.6 [1.1, 6.2] vs 1.2 [0.8, 2.7], P = .02), ACP documentation increased by 38% (23 [17%] vs 37 [28%], P = .03), and home palliative care referrals increased by 61% (9 [7%] vs 23 [17%], P = .01). There were no differences between the control and intervention groups in hospice referrals (14 [10] vs 22 [16], P = .13), code status changes (42 [30] vs 39 [29]; P = .81), or consult requests for lower risk (< 0.3) patients (48/1004 [5] vs 33/798 [4]; P = .48). CONCLUSIONS: Targeting hospital-based palliative care using an EHR mortality prediction model is a clinically promising approach to improve the quality of care among seriously ill medical patients. More evidence is needed to determine the generalizability of this approach and its impact on patient- and caregiver-reported outcomes.

Perceptions of hospitalized patients and their surrogate decision makers on dialysis initiation: a pilot study.

BACKGROUND: Dialysis is often initiated in the hospital during episodes of acute kidney injury and critical illness. Little is known about how patients or their surrogate decision makers feel about dialysis initiation in the inpatient setting. METHODS: We conducted a prospective cohort study at a large academic center in the United States. All patients who initiated dialysis during a 30-day period in 2016 were approached for enrollment. Study participants were defined as individuals who provided consent for dialysis initiation - either the patient or a surrogate decision-maker. Decisional satisfaction and the degree of shared decision-making were assessed using the decisional attitude scale and the control preferences scale, respectively. These scales were incorporated into a study questionnaire along with an exploratory structured interview. RESULTS: A total of 31 potential participants were eligible and 21 agreed to participate in the study. Continuous renal replacement therapy was used in 14 out of 21 cases (67%) and there was 33% in-hospital mortality in the study cohort. A majority (62%) of patients were unable to participate in the consent process for dialysis initiation and had to rely on a surrogate decision-maker. The mean score for the decisional attitude scale was 4.1 (95% CI 3.8-4.3) with a score of 5 corresponding to high decisional satisfaction. Most of the decisions were classified as shared and incorporated input from clinicians as well as patients or surrogates. Although 90% of participants agreed that they had a choice in making the decision, 81% were unable to mention any alternatives to dialysis initiation. CONCLUSIONS: Dialysis initiation was associated with high decisional satisfaction and most participants felt that the decision incorporated input from patients and providers. However, inpatient dialysis initiation was commonly associated with loss of decisional capacity and reliance on a surrogate decision-maker. This finding is likely driven by critical illness. Survivors of critical illness who remain dialysis dependent may need to revisit conversations about the rationale, risks, and benefits of dialysis.

End-stage renal disease: symptom management and advance care planning.

The prevalence of end-stage renal disease continues to increase, and dialysis is offered to older and more medically complex patients. Pain is problematic in up to one-half of patients receiving dialysis and may result from renal and nonrenal etiologies. Opioids can be prescribed safely, but the patient's renal function must be considered when selecting a drug and when determining the dosage. Fentanyl and methadone are considered the safest opioids for use in patients with end-stage renal disease. Nonpain symptoms are common and affect quality of life. Phosphate binders, ondansetron, and naltrexone can be helpful for pruritus. Fatigue can be managed with treatment of anemia and optimization of dialysis, but persistent fatigue should prompt screening for depression. Ondansetron, metoclopramide, and haloperidol are effective for uremia-associated nausea. Nondialytic management may be preferable to dialysis initiation in older patients and in those with additional life-limiting illnesses, and may not significantly decrease life expectancy. Delaying dialysis initiation is also an option. Patients with end-stage renal disease should have advance directives, including documentation of situations in which they would no longer want dialysis.

Hospice Enrollment, Future Hospitalization, and Future Costs Among Racially and Ethnically Diverse Patients Who Received Palliative Care Consultation.

BACKGROUND: Palliative care consultation to discuss goals-of-care ("PCC") may mitigate end-of-life care disparities. OBJECTIVE: To compare hospitalization and cost outcomes by race and ethnicity among PCC patients; identify predictors of hospice discharge and post-discharge hospitalization utilization and costs. METHODS: This secondary analysis of a retrospective cohort study assessed hospice discharge, do-not-resuscitate status, 30-day readmissions, days hospitalized, ICU care, any hospitalization cost, and total costs for hospitalization with PCC and hospitalization(s) post-discharge among 1,306 Black/African American, Latinx, White, and Other race PCC patients at a United States academic hospital. RESULTS: In adjusted analyses, hospice enrollment was less likely with Medicaid (AOR = 0.59, P = 0.02). Thirty-day readmission was less likely among age 75+ (AOR = 0.43, P = 0.02); more likely with Medicaid (AOR = 2.02, P = 0.004), 30-day prior admission (AOR = 2.42, P < 0.0001), and Black/African American race (AOR = 1.57, P = 0.02). Future days hospitalized was greater with Medicaid (Coefficient = 4.49, P = 0.001), 30-day prior admission (Coefficient = 2.08, P = 0.02), and Black/African American race (Coefficient = 2.16, P = 0.01). Any future hospitalization cost was less likely among patients ages 65-74 and 75+ (AOR = 0.54, P = 0.02; AOR = 0.53, P = 0.02); more likely with Medicaid (AOR = 1.67, P = 0.01), 30-day prior admission (AOR = 1.81, P = 0.0001), and Black/African American race (AOR = 1.40, P = 0.02). Total future hospitalization costs were lower for females (Coefficient = -3616.64, P = 0.03); greater with Medicaid (Coefficient = 7388.43, P = 0.01), 30-day prior admission (Coefficient = 3868.07, P = 0.04), and Black/African American race (Coefficient = 3856.90, P = 0.04). Do-not-resuscitate documentation (48%) differed by race. CONCLUSIONS: Among PCC patients, Black/African American race and social determinants of health were risk factors for future hospitalization utilization and costs. Medicaid use predicted hospice discharge. Social support interventions are needed to reduce future hospitalization disparities.

Serious Illness Communication Practices in Glioblastoma: An Institutional Perspective.

Background: Early, high-quality advance care planning discussions are essential for supporting goal-concordant care among glioblastoma (GBM) patients. Objective: Using mixed methods, we sought to characterize current serious illness (SI) communication practices at our institution. Methods: The electronic medical records of 240 deceased GBM patients cared for at the Abramson Cancer Center in Philadelphia, PA between 2017 and 2019 were systematically reviewed for documented SI conversations about four domains: prognosis, goals, end-of-life planning, and code status. Patient outcomes and SI conversation characteristics were analyzed using descriptive statistics. Standardized interviews about GBM care were held with five clinicians. Interview transcripts were analyzed using grounded-theory coding to identify emergent themes. Results: Nearly all patients (96%) had at least one documented SI conversation (median: 4, interquartile range [IQR] 2-7), mostly outpatient with medical oncology physicians. Median timing of first SI conversation was 360 days before death. SI conversations were not significantly associated with patient outcomes, including inpatient death and hospice enrollment. Seven themes emerged from clinician interviews: balancing hope and reality, anticipatory guidance, neglect of the "big picture," need for earlier conversations, care coordination, the role of clinical expertise, and communication training. Conclusion: SI conversations were documented early and often in our sample, but their quality was difficult to assess. Contrary to our quantitative findings, interviewees reported that SI conversations were late, infrequent, inadequate, and fragmented across specialties, failing to explore critical issues such as prognosis and functional decline.

FDA boxed warnings: how to prescribe drugs safely.

Boxed warnings, commonly referred to as "black box" warnings, are issued by the U.S. Food and Drug Administration and featured in the labeling of drugs associated with serious adverse reactions. These safety concerns are typically identified through the Adverse Event Reporting System and the Office of Surveillance and Epidemiology, which evaluates postmarket safety findings. The most common type of warning is issued when there is a potentially serious adverse effect that must be carefully weighed against the potential benefit of the drug. Warnings are also issued to draw attention to dosing, monitoring requirements, and potential drug interactions. Boxed warnings have been issued recently for oral sodium phosphate bowel preparations, fluoroquinolone antibiotics, and salmeterol. Despite these highly publicized warnings, all of these medications remain viable treatment options with appropriate patient selection. Ultimately, physicians must decide whether to prescribe drugs with boxed warnings.

Serious Illness Conversations With Outpatient Oncology Clinicians: Understanding the Patient Experience.

PURPOSE: Guidelines recommend earlier advance care planning discussions focused on goals and values (serious illness communication) among oncology patients. We conducted a prospective, cross-sectional quality improvement evaluation of patients who had a serious illness conversation (SIC) with an oncology clinician using the Serious Illness Conversation Guide to understand patient perceptions of conversations using a structured guide. METHODS: We contacted 66 oncology patients with an SIC documented in the electronic health record. Thirty-two patients (48%) responded to survey and/or structured interview questions by telephone. We used summary statistics and thematic analysis to analyze results. RESULTS: Twenty-eight respondents (90%) reported that the SIC was worthwhile. Seventeen respondents (55%) reported that the conversation increased their understanding of their future health, and 18 (58%) reported that the conversation increased their sense of closeness with their clinician. Although the majority of respondents (28 [90%]) reported that the conversation increased (13 [42%]) or had no effect (15 [48%]) on their hopefulness, a small minority (3 [10%]) reported a decrease in hopefulness. Qualitative analysis revealed 6 themes: clinician-patient relationship, impact on well-being, memorable characteristics of the conversation, improved prognostic understanding, practical planning, and family communication. CONCLUSION: SICs are generally acceptable to oncology patients (nonharmful to the vast majority, positive for many). Our qualitative analysis suggests a positive impact on prognostic understanding and end-of-life planning, but opportunities for improvement in the delivery of prognosis and preparing patients for SICs. Our data also identify a small cohort who responded negatively, highlighting an important area for future study.

Goals-of-Care Consultations Are Associated with Lower Costs and Less Acute Care Use among Propensity-Matched Cohorts of African Americans and Whites with Serious Illness.

Background: African Americans receive more aggressive end-of-life care than Whites. Little is known about how palliative care consultation to discuss goals-of-care ("PCC") is associated with acute care utilization and costs by race. Objective: To compare future acute care costs and utilization between propensity-matched cohorts of African Americans with and without PCC, and Whites with and without PCC. Design: Secondary analysis of a retrospective cohort study. Setting/Subjects: Thirty-five thousand one hundred and fifty-four African Americans and Whites age 18+ admitted for conditions other than childbirth or rehabilitation, who were not hospitalized at the end of the study, and did not die during index hospitalization (hospitalization during which the first PCC occurred). Measurements: Accumulated mean acute care costs and utilization (30-day readmissions, future hospital days, future intensive care unit [ICU] admission, future number of ICU days) after discharge from index hospitalization. Results: No significant difference between African Americans with or without PCC in mean future acute care costs ($11,651 vs. $15,050, p = 0.09), 30-day readmissions (p = 0.58), future hospital days (p = 0.34), future ICU admission (p = 0.25), or future ICU days (p = 0.30). There were significant differences between Whites with PCC and those without PCC in mean future acute care costs ($8,095 vs. $16,799, p < 0.001), 30-day readmissions (10.2% vs. 16.7%, p < 0.0001), and future days hospitalized (3.7 vs. 6.3 days, p < 0.0001). Conclusions: PCC decreases future acute care costs and utilization in Whites and, directionally but not significantly, in African Americans. Research is needed to explain why utilization and cost disparities persist among African Americans despite PCC.

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

BACKGROUND: Early palliative care consultation ("PCC") to discuss goals-of-care benefits seriously ill patients. Risk factor profiles associated with the timing of conversations in hospitals, where late conversations most likely occur, are needed. OBJECTIVE: To identify risk factor patient profiles associated with PCC timing before death. METHODS: Secondary analysis of an observational study was conducted at an urban, academic medical center. Patients aged 18 years and older admitted to the medical center, who had PCC, and died July 1, 2014 to October 31, 2016, were included. Patients admitted for childbirth or rehabilitationand patients whose date of death was unknown were excluded. Classification and Regression Tree modeling was employed using demographic and clinical variables. RESULTS: Of 1141 patients, 54% had PCC "close to death" (0-14 days before death); 26% had PCC 15 to 60 days before death; 21% had PCC >60 days before death (median 13 days before death). Variables associated with receiving PCC close to death included being Hispanic or "Other" race/ethnicity intensive care patients with extreme illness severity (85%), with age <46 or >75 increasing this probability (98%). Intensive care patients with extreme illness severity were also likely to receive PCC close to death (64%) as were 50% of intensive care patients with less than extreme illness severity. CONCLUSIONS: A majority of patients received PCC close to death. A complex set of variable interactions were associated with PCC timing. A systematic process for engaging patients with PCC earlier in the care continuum, and in intensive care regardless of illness severity, is needed.

Goals-of-Care Consultation Associated With Increased Hospice Enrollment Among Propensity-Matched Cohorts of Seriously Ill African American and White Patients.

CONTEXT: African Americans are less likely to receive hospice care and more likely to receive aggressive end-of-life care than whites. Little is known about how palliative care consultation (PCC) to discuss goals of care is associated with hospice enrollment by race. OBJECTIVES: To compare enrollment in hospice at discharge between propensity-matched cohorts of African Americans with and without PCC and whites with and without PCC. METHODS: Secondary analysis of a retrospective cohort study at a high-acuity hospital; using stratified propensity-score matching for 35,154 African Americans and whites aged 18+ admitted for conditions other than childbirth or rehabilitation, who were not hospitalized at end of study, and did not die during index hospitalization (hospitalization during which first PCC occurred). RESULTS: Compared with African Americans without PCC, African Americans with PCC were 15 times more likely to be discharged to hospice from index hospitalization (2.4% vs. 36.5%; P < 0.0001). Compared with white patients without PCC, white patients with PCC were 14 times more likely to be discharged to hospice from index hospitalization (3.0% vs. 42.7%; P < 0.0001). CONCLUSION: In propensity-matched cohorts of seriously ill patients, PCC to discuss goals of care was associated with significant increases in hospice enrollment at discharge among both African Americans and whites. Research is needed to understand how PCC influences decision making by race, how PCC is associated with postdischarge hospice outcomes such as disenrollment and hospice lengths of stay, and if PCC is associated with improving racial disparities in end-of-life care.

Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.

Importance: Machine learning algorithms could identify patients with cancer who are at risk of short-term mortality. However, it is unclear how different machine learning algorithms compare and whether they could prompt clinicians to have timely conversations about treatment and end-of-life preferences. Objectives: To develop, validate, and compare machine learning algorithms that use structured electronic health record data before a clinic visit to predict mortality among patients with cancer. Design, Setting, and Participants: Cohort study of 26 525 adult patients who had outpatient oncology or hematology/oncology encounters at a large academic cancer center and 10 affiliated community practices between February 1, 2016, and July 1, 2016. Patients were not required to receive cancer-directed treatment. Patients were observed for up to 500 days after the encounter. Data analysis took place between October 1, 2018, and September 1, 2019. Exposures: Logistic regression, gradient boosting, and random forest algorithms. Main Outcomes and Measures: Primary outcome was 180-day mortality from the index encounter; secondary outcome was 500-day mortality from the index encounter. Results: Among 26 525 patients in the analysis, 1065 (4.0%) died within 180 days of the index encounter. Among those who died, the mean age was 67.3 (95% CI, 66.5-68.0) years, and 500 (47.0%) were women. Among those who were alive at 180 days, the mean age was 61.3 (95% CI, 61.1-61.5) years, and 15 922 (62.5%) were women. The population was randomly partitioned into training (18 567 [70.0%]) and validation (7958 [30.0%]) cohorts at the patient level, and a randomly selected encounter was included in either the training or validation set. At a prespecified alert rate of 0.02, positive predictive values were higher for the random forest (51.3%) and gradient boosting (49.4%) algorithms compared with the logistic regression algorithm (44.7%). There was no significant difference in discrimination among the random forest (area under the receiver operating characteristic curve [AUC], 0.88; 95% CI, 0.86-0.89), gradient boosting (AUC, 0.87; 95% CI, 0.85-0.89), and logistic regression (AUC, 0.86; 95% CI, 0.84-0.88) models (P for comparison = .02). In the random forest model, observed 180-day mortality was 51.3% (95% CI, 43.6%-58.8%) in the high-risk group vs 3.4% (95% CI, 3.0%-3.8%) in the low-risk group; at 500 days, observed mortality was 64.4% (95% CI, 56.7%-71.4%) in the high-risk group and 7.6% (7.0%-8.2%) in the low-risk group. In a survey of 15 oncology clinicians with a 52.1% response rate, 100 of 171 patients (58.8%) who had been flagged as having high risk by the gradient boosting algorithm were deemed appropriate for a conversation about treatment and end-of-life preferences in the upcoming week. Conclusions and Relevance: In this cohort study, machine learning algorithms based on structured electronic health record data accurately identified patients with cancer at risk of short-term mortality. When the gradient boosting algorithm was applied in real time, clinicians believed that most patients who had been identified as having high risk were appropriate for a timely conversation about treatment and end-of-life preferences.

Palliative Care Consultation for Goals of Care and Future Acute Care Costs: A Propensity-Matched Study.

BACKGROUND: Hospitals are under increasing pressure to manage costs across multiple episodes of care. Most studies of the financial impact of palliative care have focused on costs during a single hospitalization. OBJECTIVE: To compare future acute health-care costs and utilization between patients who received inpatient palliative care consultation for goals of care (Palliative Care Service [PCS]) and a propensity-matched cohort of patients who did not receive palliative care consultation (non-PCS) in a single academic medical center. METHODS: Data were extracted from the hospital's electronic records for admissions and discharges between July 2014 and October 2016. A stratified propensity score matching was used to account for nonrandom assignment and potential inherent differences between PCS and non-PCS groups using variables of theoretical interest: age, gender, race, diagnosis, risk of mortality, and prior acute care costs. RESULTS: The analytical sample for this study included 41 363 patients (PCS = 1853; non-PCS = 39 510). Future acute care costs were significantly higher in the non-PCS group after propensity score matching (highest tier = US$15 654 vs US$8831; second highest tier = US$12 200 vs US$5496; P = .0001). The non-PCS group also had significantly higher future acute care utilization across all propensity tiers and outcomes including 30-day readmission ( P = .0001), number of future hospital days ( P = .0001), and number of future intensive care unit days ( P = .0001). CONCLUSION: Palliative care consultations for goals of care may decrease future health-care utilization with cost savings that persist into future hospitalizations.

Palliative Care Office Hours for Patients with Hematologic Malignancies: An Innovative Model for Symptom Management and Education.

BACKGROUND: Palliative care programs are experiencing rapid growth, with demand for consults surpassing staffing. Innovative models are needed to equip nonpalliative care providers to manage basic palliative care issues. OBJECTIVES: To develop a novel program of palliative care office hours for hematologic oncology advanced practice providers, and to evaluate its impact on palliative care consult volume and composition. METHODS: A palliative care nurse practitioner or pharmacist was available for weekday office hours to all inpatient hematologic oncology advanced practice providers at an academic medical center to offer advice on pain, nonpain symptoms, and psychosocial distress. A retrospective study looking at outcome measures after six months of office hour utilization and palliative care consults from the hematologic oncology services. RESULTS: Palliative care office hours had a mean duration of 16 minutes per day (range 5 to 55). A mean of 11 patients were discussed per week (range 4 to 20). Pain, nausea, and anxiety were the issues most frequently raised. Of 299 patients discussed during office hours, 44 (14.7%) subsequently required a full palliative care consult. Overall, palliative care consults from the hematologic oncology services decreased from 19.6% to 10.2% of admissions (87/445 vs. 61/594, p < 0.001) with an increase in consults for goals of care. CONCLUSION: Office hours are an efficient way to address palliative care needs when demand for palliative care consults exceeds capacity. Office hours may serve an educational function as well, enabling primary teams to manage basic palliative care issues with increasing independence over time.

Electronic Goals of Care Alerts: An Innovative Strategy to Promote Primary Palliative Care.

CONTEXT: Given the shortage of palliative care specialists, strategies are needed to promote primary palliative care by nonpalliative care providers. Electronic reminders are frequently used in medicine to standardize practice, but their effectiveness in encouraging goals of care discussions is not well understood. OBJECTIVES: To determine whether brief education and electronic alerts increase the frequency of goals of care discussions. METHODS: All general medicine services at a large academic medical center were included. Each medicine team received brief education on rounds about goals of care communication tool. When a newly admitted patient met predefined criteria, an electronic alert that included the tool was sent to the patient's resident and attending physicians within 48 hours. RESULTS: Of 352 admissions screened over a four-week period, 18% met one or more criteria. The combination of alerts and education increased documentation of goals of care in the medical record from 20.5% (15/73) to 44.6% (25/56) of patients (risk ratio 2.17, 95% CI 1.23-3.72). There were no significant changes in code status, noncode status limitations in care, or palliative care consultation. CONCLUSION: The combination of brief education and electronic goals of care alerts significantly increased documented goals of care discussions. This intervention is simple and feasible in many settings, but larger studies are needed to determine impact on patient outcomes.

Toward Safer Transitions: A Curriculum to Teach and Assess Hospital-to-Hospice Handoffs.

CONTEXT: Patient handoffs are an increasingly emphasized skill in medical and nursing education, and handoff education is required by the Accreditation Council for Graduate Medical Education. Traditional handoff tools lack content that is unique to hospice and palliative medicine. OBJECTIVES: The objective of the study was to develop a comprehensive curriculum to teach and assess patient handoffs in hospice and palliative medicine fellowships. METHODS: Eight hospice physicians, nurse practitioners, and nurses were interviewed to determine core content for a hospital-to-hospice handoff. This content was used to create a verbal handoff template and direct observation assessment tool, which were reviewed by the same hospice providers for content validity. The handoff template was taught to two groups of palliative medicine fellows and one group of internal medicine residents using an interactive didactic and role play, and feedback was obtained to further refine the curriculum. RESULTS: After refinement, the complete handoff curriculum (verbal handoff template, didactic with role play, assessment by faculty using direct observation tool) was successfully integrated into a hospice and palliative medicine fellowship, satisfying Accreditation Council for Graduate Medical Education requirements related to transitions in care. CONCLUSION: The hospital-to-hospice handoff is a unique opportunity to teach patient safety in a palliative medicine context.

Scripted Nurse Visits: A Resource-Efficient Palliative Care Model for Ventricular Assist Devices.

BACKGROUND: The Center for Medicare Services (CMS) requires palliative care involvement for patients who receive a destination therapy ventricular assist device (VAD). Creative solutions are needed to meet this requirement in the context of limited palliative care resources. PURPOSE: To evaluate a novel program in which a nurse conducts scripted pre-VAD visits to promote advance care planning and to triage the need for a full palliative care consult. STUDY DESIGN: Prospective pilot study of patients undergoing evaluation for VAD. METHODS: A script for pre-VAD visits was developed and pilot tested with patients. A registered nurse with basic palliative care training met with patients undergoing evaluation for VAD implantation. Data were collected regarding feasibility and acceptability of the intervention, need for full palliative care consults, and patient outcomes. RESULTS: Between September 2014 and November 2015, the nurse conducted 37 visits. Thirty of the patients subsequently received a VAD. All participants completed the entire nurse visit. Six of the 37 patients required a full palliative care consult during the index hospitalization; these consults were for symptom management, psychosocial distress, or goals of care. Patients were more likely to discuss overarching values than preferences for specific medical interventions. CONCLUSION: Nurses with basic palliative care skills can conduct scripted preparedness planning conversations. These conversations are well received by patients, satisfy CMS requirements, and provide an alternative to full consults for resource-limited programs. Additional research is needed to compare outcomes between nurse visits and traditional consults.

Emerging Collaboration Between Palliative Care Specialists and Mechanical Circulatory Support Teams: A Qualitative Study.

CONTEXT: Despite national requirements mandating collaboration between palliative care specialists and mechanical circulatory support (MCS) teams at institutions that place destination therapy ventricular assist devices, little is known about the nature of those collaborations or outcomes for patients and families. OBJECTIVES: To assess how Centers for Medicare & Medicaid Services' regulations have changed collaboration between palliative care and MCS teams and how this collaboration is perceived by MCS team members. METHODS: After obtaining verbal consent, members of MCS teams were interviewed using semistructured telephone interviews. Interviews were transcribed, and content was coded and analyzed using qualitative methods. RESULTS: Models for collaboration varied widely between institutions. Several expected themes emerged from interviews: 1) improvements over time in the relationship between palliative care specialists and MCS teams, 2) palliative care specialists as facilitators of advance care planning, and 3) referral to hospice and ventricular assist device deactivation as specific areas for collaboration. Several unexpected themes also emerged: 4) the emergence of dedicated heart failure palliative care teams, 5) palliative care specialists as impartial voices in decision making, 6) palliative care specialists as extra support for MCS team members, and 7) the perception of improved patient and family experiences with palliative care team exposure. CONCLUSION: Although the structure of collaboration varies between institutions, collaboration between MCS teams and palliative care specialists is increasing and often preceded the Centers for Medicare & Medicaid Services requirement. Overall impressions of palliative care specialists are highly positive, with perceptions of improved patient and family experience and decreased burden on MCS team members.