A Comparison of Palliative Care Delivery between Ethnically Chinese and Non-Chinese Canadians in the Last Year of Life.

BACKGROUND: Ethnically Chinese adults in Canada and the United States face multiple barriers in accessing equitable, culturally respectful care at the end-of-life. Palliative care (PC) is committed to supporting patients and families in achieving goal-concordant, high-quality serious illness care. Yet, current PC delivery may be culturally misaligned. Therefore, understanding ethnically Chinese patients' use of palliative care may uncover modifiable factors to sustained inequities at the end-of-life. OBJECTIVE: To compare the use and delivery of PC in the last year of life between ethnically Chinese and non-Chinese adults. DESIGN: Population-based cohort study. PARTICIPANTS: All Ontario adults who died between January 1st, 2012, and October 31st, 2022, in Ontario, Canada. EXPOSURES: Chinese ethnicity. MAIN MEASURES: Elements of physician-delivered PC, including model of care (generalist; specialist; mixed), timing and location of initiation, and type of palliative care physician at initial consultation. KEY RESULTS: The final study cohort included 527,700 non-Chinese (50.8% female, 77.9 ± 13.0 mean age, 13.0% rural residence) and 13,587 ethnically Chinese (50.8% female, 79.2 ± 13.6 mean age, 0.6% rural residence) adults. Chinese ethnicity was associated with higher likelihoods of using specialist (adjusted odds ratio [aOR] 1.53, 95%CI 1.46-1.60) and mixed (aOR 1.32, 95%CI 1.26-1.38) over generalist models of PC, compared to non-Chinese patients. Chinese ethnicity was also associated with a higher likelihood of PC initiation in the last 30 days of life (aOR 1.07, 95%CI 1.03-1.11), in the hospital setting (aOR 1.24, 95%CI 1.18-1.30), and by specialist PC physicians (aOR 1.33, 95%CI 1.28-1.38). CONCLUSIONS: Chinese ethnicity was associated with a higher likelihood of mixed and specialist models of PC delivery in the last year of life compared to adults who were non-Chinese. These observed differences may be due to later initiation of PC in hospital settings, and potential differences in unmeasured needs that suggest opportunities to initiate early, community-based PC to support ethnically Chinese patients with serious illness.

Feasibility and acceptability of a nurse-led telehealth intervention (BOLSTER) to support patients with peritoneal carcinomatosis and their caregivers: A pilot randomized clinical trial.

OBJECTIVE: Patients with advanced gynecologic (GYN) and gastrointestinal (GI) cancers frequently develop peritoneal carcinomatosis (PC), which limits prognosis and diminishes health-related quality of life (HRQoL). Palliative procedures may improve PC symptoms, yet patients and caregivers report feeling unprepared to manage ostomies, catheters, and other complex needs. Our objectives were to (1) assess the feasibility of an efficacy trial of a nurse-led telehealth intervention (BOLSTER) for patients with PC and their caregivers; and (2) assess BOLSTER's acceptability, potential to improve patients' HRQoL and self-efficacy, and potential impact on advance care planning (ACP). METHODS: Pilot feasibility RCT. Recently hospitalized adults with advanced GYN and GI cancers, PC, and a new complex care need and their caregivers were randomized 1:1 to BOLSTER or enhanced discharge planning (EDP). We defined feasibility as a ≥ 50% approach-to-consent ratio and acceptability as ≥70% satisfaction with BOLSTER. We assessed patients' HRQoL and self-efficacy at baseline and six weeks, then compared the proportion experiencing meaningful improvements by arm. ACP documentation was identified using natural language processing. RESULTS: We consented 77% of approached patients. In the BOLSTER arm, 91.0% of patients and 100.0% of caregivers were satisfied. Compared to EDP, more patients receiving BOLSTER experienced improvements in HRQoL (68.4% vs. 40.0%) and self-efficacy for managing symptoms (78.9% vs. 35.0%) and treatment (52.9% vs. 42.9%). The BOLSTER arm had more ACP documentation. CONCLUSIONS: BOLSTER is a feasible and acceptable intervention with the potential to improve patients' HRQoL and promote ACP. An efficacy trial comparing BOLSTER to usual care is underway. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03367247; PI: Wright.

Prevalence, Management, and Outcomes Related to Preoperative Medical Orders for Life Sustaining Treatment (MOLST) in an Adult Surgical Population: Preoperative MOLST and Code Status Discussions.

OBJECTIVE: To determine prevalence of documented preoperative code status discussions and postoperative outcomes (specifically mortality, readmission, and discharge disposition) of patients with completed MOLST forms before surgery. SUMMARY OF BACKGROUND DATA: A MOLST form documents patient care preference regarding treatment limitations. When considering surgery in these patients, preoperative discussion is necessary to ensure concordance of care. Little is known about prevalence of these discussions and postoperative outcomes. METHODS: A retrospective cohort study was conducted consisting of all patients having surgery during a 1-year period at a tertiary care academic center in Boston, Massachusetts. RESULTS: Among 21,787 surgical patients meeting inclusion criteria, 402 (1.8%) patients had preoperative MOLST. Within the MOLST, 224 (55.7%) patients had chosen to limit cardiopulmonary resuscitation and 214 (53.2%) had chosen to limit intubation and mechanical ventilation. Code status discussion was documented presurgery in 169 (42.0%) patients with MOLST. Surgery was elective or nonurgent for 362 (90%), and median length of stay (Q1, Q3) was 5.1 days (1.9, 9.9). The minority of patients with preoperative MOLST were discharged home [169 (42%), and 103 (25.6%) patients were readmitted within 30 days. Patients with preoperative MOLST had a 30-day mortality of 9.2% (37 patients) and cumulative 90-day mortality of 14.9% (60 patients). CONCLUSIONS: Fewer than half of surgical patients with preoperative MOLST have documented code status discussions before surgery. Given their high risk of postoperative mortality and the diversity of preferences found in MOLST, thoughtful discussion before surgery is critical to ensure concordant perioperative care.

Surgeon-reported Factors Influencing Adoption of Quality Standards for Goal-concordant Care in Patients With Advanced Cancer: A Qualitative Study.

OBJECTIVE: This study explored surgical oncologists' perspectives on factors influencing adoption of quality standards in patients with advanced cancer. BACKGROUND: The American College of Surgeons Geriatric Surgery Verification Program includes communication standards designed to facilitate goal-concordant care, yet little is known about how surgeons believe these standards align with clinical practice. METHODS: Semistructured video-based interviews were conducted from November 2020 to January 2021 with academic surgical oncologists purposively sampled based on demographics, region, palliative care certification, and years in practice. Interviews addressed: (1) adherence to standards documenting care preferences for life-sustaining treatment, surrogate decision-maker, and goals of surgery; and (2) factors influencing their adoption into practice. Interviews were audio-recorded, transcribed, qualitatively analyzed, and conducted until thematic saturation was reached. RESULTS: Twenty-six surgeons participated (57.7% male, 8.5 mean years in practice, 19.2% palliative care board-certified). Surgeons reported low adherence to documenting care preferences and surrogate decision-maker and high adherence to discussing, but not documenting, goals of surgery. Participants held conflicting views about the relevance of care preferences to preoperative conversations and surrogate decision-maker documentation by the surgeon and questioned the direct connection between documentation of quality standards and higher value patient care. Key themes regarding factors influencing adoption of quality standards included organizational culture, workflow, and multidisciplinary collaboration. CONCLUSIONS: Although surgeons routinely discuss goals of surgery, documentation is inconsistent; care preferences and surrogate decision-makers are rarely discussed or documented. Adherence to these standards would be facilitated by multidisciplinary collaboration, institutional standardization, and evidence linking standards to higher value care.

The Use of Natural Language Processing to Assess Social Support in Patients With Advanced Cancer.

BACKGROUND: Data examining associations among social support, survival, and healthcare utilization are lacking in patients with advanced cancer. METHODS: We conducted a cross-sectional secondary analysis using data from a prospective longitudinal cohort study of 966 hospitalized patients with advanced cancer at Massachusetts General Hospital from 2014 through 2017. We used NLP to identify extent of patients' social support (limited versus adequate as defined by NLP-aided review of the Electronic Health Record (EHR)). Two independent coders achieved a Kappa of 0.90 (95% CI: 0.84-1.00) using NLP. Using multivariable regression models, we examined associations of social support with: 1) OS; 2) death or readmission within 90 days of hospital discharge; 3) time to readmission within 90 days; and 4) hospital length of stay (LOS). RESULTS: Patients' median age was 65 (range: 21-92) years, and a plurality had gastrointestinal (GI) cancer (34.3%) followed by lung cancer (19.5%). 6.2% (60/966) of patients had limited social support. In multivariable analyses, limited social support was not significantly associated with OS (HR = 1.13, P = 0.390), death or readmission (OR = 1.18, P = 0.578), time to readmission (HR = 0.92, P = 0.698), or LOS (ß = -0.22, P = 0.726). We identified a potential interaction suggesting cancer type (GI cancer versus other) may be an effect modifier of the relationship between social support and OS (interaction term P = 0.053). In separate unadjusted analyses, limited social support was associated with lower OS (HR = 2.10, P = 0.008) in patients with GI cancer but not other cancer types (HR = 1.00, P = 0.991). CONCLUSION: We used NLP to assess the extent of social support in patients with advanced cancer. We did not identify significant associations of social support with OS or healthcare utilization but found cancer type may be an effect modifier of the relationship between social support and OS. These findings underscore the potential utility of NLP for evaluating social support in patients with advanced cancer.

Patient and Caregiver Prioritization of Palliative and End-of-Life Cancer Care Quality Measures.

BACKGROUND: Development and prioritization of quality measures typically relies on experts in clinical medicine, but patients and their caregivers may have different perspectives on quality measurement priorities. OBJECTIVE: To inform priorities for health system implementation of palliative cancer and end-of-life care quality measures by eliciting perspectives of patients and caregivers. DESIGN: Using modified RAND-UCLA Appropriateness Panel methods and materials tailored for knowledgeable lay participants, we convened a panel to rate cancer palliative care process quality measure concepts before and after a 1-day, in-person meeting. PARTICIPANTS: Nine patients and caregivers with experience living with or caring for patients with cancer. MAIN MEASURES: Panelists rated each concept on importance for providing patient- and family-centered care on a nine-point scale and each panelist nominated five highest priority measure concepts ("top 5"). KEY RESULTS: Cancer patient and caregiver panelists rated all measure concepts presented as highly important to patient- and family- centered care (median rating ≥ 7) in pre-panel (mean rating range, 6.9-8.8) and post-panel ratings (mean rating range, 7.2-8.9). Forced choice nominations of the "top 5" helped distinguish similarly rated measure concepts. Measure concepts nominated into the "top 5" by three or more panelists included two measure concepts of communication (goals of care discussions and discussion of prognosis), one measure concept on providing comprehensive assessments of patients, and three on symptoms including pain management plans, improvement in pain, and depression management plans. Patients and caregivers nominated one additional measure concept (pain screening) back into consideration, bringing the total number of measure concepts under consideration to 21. CONCLUSIONS: Input from cancer patients and caregivers helped identify quality measurement priorities for health system implementation. Forced choice nominations were useful to discriminate concepts with the highest perceived importance. Our approach serves as a model for incorporating patient and caregiver priorities in quality measure development and implementation.

Randomized Trial of a Palliative Care Intervention to Improve End-of-Life Care Discussions in Patients With Metastatic Breast Cancer.

BACKGROUND: Studies show that early, integrated palliative care (PC) improves quality of life (QoL) and end-of-life (EoL) care for patients with poor-prognosis cancers. However, the optimal strategy for delivering PC for those with advanced cancers who have longer disease trajectories, such as metastatic breast cancer (MBC), remains unknown. We tested the effect of a PC intervention on the documentation of EoL care discussions, patient-reported outcomes, and hospice utilization in this population. PATIENTS AND METHODS: Patients with MBC and clinical indicators of poor prognosis (n=120) were randomly assigned to receive an outpatient PC intervention (n=61) or usual care (n=59) between May 2, 2016, and December 26, 2018, at an academic cancer center. The intervention entailed 5 structured PC visits focusing on symptom management, coping, prognostic awareness, decision-making, and EoL planning. The primary outcome was documentation of EoL care discussions in the electronic health record (EHR). Secondary outcomes included patient-report of discussions with clinicians about EoL care, QoL, and mood symptoms at 6, 12, 18, and 24 weeks after baseline and hospice utilization. RESULTS: The rate of EoL care discussions documented in the EHR was higher among intervention patients versus those receiving usual care (67.2% vs 40.7%; P=.006), including a higher completion rate of a Medical Orders for Life-Sustaining Treatment form (39.3% vs 13.6%; P=.002). Intervention patients were also more likely to report discussing their EoL care wishes with their doctor (odds ratio [OR], 3.10; 95% CI, 1.21-7.94; P=.019) and to receive hospice services (OR, 4.03; 95% CI, 1.10-14.73; P=.035) compared with usual care patients. Study groups did not differ in patient-reported QoL or mood symptoms. CONCLUSIONS: This PC intervention significantly improved rates of discussion and documentation regarding EoL care and delivery of hospice services among patients with MBC, demonstrating that PC can be tailored to address the supportive care needs of patients with longer disease trajectories. ClinicalTrials.gov identifier: NCT02730858.

Management of Pneumoperitoneum: Role and Limits of Nonoperative Treatment.

OBJECTIVES: The aim of this study was to compare morbidity and mortality between nonoperative and operative treatment of pneumoperitoneum. BACKGROUND: Pneumoperitoneum is a potentially life-threatening condition that has been traditionally treated with surgical intervention. Adequately powered studies comparing treatment outcomes are lacking. METHODS: Chart review and computer-assisted abstraction were used to identify patients with pneumoperitoneum at 5 hospitals from 2010 to 2015. Patients with recent abdominal procedures or contained perforation were excluded. Patients were grouped by treatment modality: comfort measures only (CMO), nonoperative treatment, or operative intervention. CMO included only symptom-palliation, whereas nonoperative therapy included all interventions (antibiotics, peritoneal drains, resuscitation) excluding surgery. Outcomes were mortality, discharge disposition, and 30-day complications. Covariates included demographics, comorbidities, and acuity at presentation. RESULTS: Forty patients received CMO, 202 underwent nonoperative treatment, and 199 underwent operative intervention. CMO patients had 98% 30-day mortality. There was no difference in 30-day (P = 0.64) or 2-year mortality (P = 0.53) between patients treated nonoperatively and operatively. Compared with patients treated operatively, patients treated nonoperatively were more likely to have a colorectal source of pneumoperitoneum (37% vs 31%; P = 0.03). Using logistic regression, operative treatment was associated with increased dependence on enteral tube feeding or total parenteral nutrition [odds ratio (OR) 4.30, 95% confidence interval (CI), 1.99-9.29] and nonhome discharge (OR 3.61, 95% CI, 1.81-7.17). Among patients with clinical peritonitis, operative treatment was associated with reduced mortality (OR 0.17, 95% CI, 0.04-0.80). CONCLUSIONS: Operative intervention is associated with reduced mortality in patients with pneumoperitoneum and peritonitis. In the absence of peritonitis, operative treatment is associated with increased morbidity and nonhome discharge.

Association of Social Support With Overall Survival and Healthcare Utilization in Patients With Aggressive Hematologic Malignancies.

BACKGROUND: Social support plays a crucial role for patients with aggressive hematologic malignancies as they navigate their illness course. The aim of this study was to examine associations of social support with overall survival (OS) and healthcare utilization in this population. METHODS: A cross-sectional secondary analysis was conducted using data from a prospective longitudinal cohort study of 251 hospitalized patients with aggressive hematologic malignancies at Massachusetts General Hospital from 2014 through 2017. Natural Language Processing (NLP) was used to identify the extent of patients' social support (limited vs adequate as defined by NLP-aided chart review of the electronic health record). Multivariable regression models were used to examine associations of social support with (1) OS, (2) death or readmission within 90 days of discharge from index hospitalization, (3) time to readmission within 90 days, and (4) index hospitalization length of stay. RESULTS: Patients had a median age of 64 years (range, 19-93 years), and most were White (89.6%), male (68.9%), and married (65.3%). A plurality of patients had leukemia (42.2%) followed by lymphoma (37.9%) and myelodysplastic syndrome/myeloproliferative neoplasm (19.9%). Using NLP, we identified that 8.8% (n=22) of patients had limited social support. In multivariable analyses, limited social support was associated with worse OS (hazard ratio, 2.00; P=.042) and a higher likelihood of death or readmission within 90 days of discharge (odds ratio, 3.11; P=.043), but not with time to readmission within 90 days or with index hospitalization length of stay. CONCLUSIONS: In this cohort of hospitalized patients with aggressive hematologic malignancies, we found associations of limited social support with lower OS and a higher likelihood of death or readmission within 90 days of hospital discharge. These findings underscore the utility of NLP for evaluating the extent of social support and the need for larger studies evaluating social support in patients with aggressive hematologic malignancies.

Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.

Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes.

Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.

OBJECTIVE: To assess the utility of applying natural language processing (NLP) to electronic health records (EHRs) to identify individuals with chronic mobility disability. DESIGN: We used EHRs from the Research Patient Data Repository, which contains EHRs from a large Massachusetts health care delivery system. This analysis was part of a larger study assessing the effects of disability on diagnosis of colorectal cancer. We applied NLP text extraction software to longitudinal EHRs of colorectal cancer patients to identify persons who use a wheelchair (our indicator of mobility disability for this analysis). We manually reviewed the clinical notes identified by NLP using directed content analysis to identify true cases using wheelchairs, duration or chronicity of use, and documentation quality. SETTING: EHRs from large health care delivery system PARTICIPANTS: Patients (N=14,877) 21-75 years old who were newly diagnosed with colorectal cancer between 2005 and 2017. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Confirmation of patients' chronic wheelchair use in NLP-flagged notes; quality of disability documentation. RESULTS: We identified 14,877 patients with colorectal cancer with 303,182 associated clinical notes. NLP screening identified 1482 (0.5%) notes that contained 1+ wheelchair-associated keyword. These notes were associated with 420 patients (2.8% of colorectal cancer population). Of the 1482 notes, 286 (19.3%, representing 105 patients, 0.7% of the total) contained documentation of reason for wheelchair use and duration. Directed content analysis identified 3 themes concerning disability documentation: (1) wheelchair keywords used in specific EHR contexts; (2) reason for wheelchair not clearly stated; and (3) duration of wheelchair use not consistently documented. CONCLUSIONS: NLP offers an option to screen for patients with chronic mobility disability in much less time than required by manual chart review. Nonetheless, manual chart review must confirm that flagged patients have chronic mobility disability (are not false positives). Notes, however, often have inadequate disability documentation.

Deficits in the Palliative Care Process Measures in Patients with Advanced Pancreatic Cancer Undergoing Operative and Invasive Nonoperative Palliative Procedures.

BACKGROUND: Given survival measured in months, metrics, such as 30-day mortality, are poorly suited to measure the quality of palliative procedures for patients with advanced cancer. Nationally endorsed process measures associated with high-quality PC include code-status clarification, goals-of-care discussions, palliative-care referral, and hospice assessment. The impact of the performance of these process measures on subsequent healthcare utilization is unknown. METHODS: Administrative data and manual review were used to identify hospital admissions with performance of palliative procedures for advanced pancreatic cancer at two tertiary care hospitals from 2011 to 2016. Natural language processing, a form of computer-assisted abstraction, identified process measures in associated free-text notes. Healthcare utilization was compared using a Cox proportional hazard model. RESULTS: We identified 823 hospital admissions with performance of a palliative procedure. PC process measures were identified in 68% of admissions. Patients with documented process measures were older (66 vs. 63; p = 0.04) and had a longer length of stay (9 vs. 6 days; p < 0.001). In multivariate analysis, patients treated by surgeons were less likely to have PC process measures performed (odds ratio 0.19; 95% confidence interval 0.10-0.37). Performance of PC process measures was associated with decreased healthcare utilization in a Cox proportional hazard model. CONCLUSIONS: PC process measures were not performed in almost one-third of hospital admissions for palliative procedures in patients with advanced pancreatic cancer. Performance of established high-quality process measures for seriously ill patients undergoing palliative procedures may help patients to avoid burdensome, high-intensity care at the end-of-life.

Goals-of-Care Conversations for Older Adults With Serious Illness in the Emergency Department: Challenges and Opportunities.

During the last 6 months of life, 75% of older adults with preexisting serious illness, such as advanced heart failure, lung disease, and cancer, visit the emergency department (ED). ED visits often mark an inflection point in these patients' illness trajectories, signaling a more rapid rate of decline. Although most patients are there seeking care for acute issues, many of them have priorities other than to simply live as long as possible; yet without discussion of preferences for treatment, they are at risk of receiving care not aligned with their goals. An ED visit may offer a unique "teachable moment" to empower patients to consider their ability to influence future medical care decisions. However, the constraints of the ED setting pose specific challenges, and little research exists to guide clinicians treating patients in this setting. We describe the current state of goals-of-care conversations in the ED, outline the challenges to conducting these conversations, and recommend a research agenda to better equip emergency physicians to guide shared decisionmaking for end-of-life care. Applying best practices for serious illness communication may help emergency physicians empower such patients to align their future medical care with their values and goals.

Measuring Processes of Care in Palliative Surgery: A Novel Approach Using Natural Language Processing.

: Palliative surgical procedures are often performed for patients with limited survival. Quality measures for processes of care at the end of life are appropriate in palliative surgery, but have not been applied in this patient population. In this paper, the authors propose 4 quality measures for end-of-life care in a palliative surgery, and then demonstrate the utility of natural language processing for implementing these measures.

Increasing sex differences in the use of cardiac resynchronization therapy with or without implantable cardioverter-defibrillator.

AIMS: Previous studies have identified sex disparities in the use of cardiac resynchronization therapy (CRT) and implantable cardioverter defibrillators (ICD), although the basis of underutilization in women remains poorly understood. The aim of this study was to assess sex differences in patterns of CRT use with our without ICD. METHODS AND RESULTS: In this cross-sectional study using the National Inpatient Sample database we identified 311 009 patients undergoing CRT implantation in the United States between 2006 and 2012. Demographic and clinical characteristics were compared between men and women undergoing CRT implantation, with special attention to clinical predictors of left ventricular reverse remodelling (CRT response, score range: 0-4) and reduced ICD efficacy (score range: 0-7). When compared to men, women undergoing CRT implantation were significantly more likely to have ≥ 3 predictors of CRT response (47.3 vs. 33.2%, P < 0.001) and less likely to have ≥3 predictors of reduced ICD efficacy (27.0 vs. 37.3%, P < 0.001). Despite this, men were significantly more likely to undergo CRT with ICD (CRT-D) as the type of CRT (88.6 vs. 80.1% of all CRT implants). Compared to those with the greatest likelihood of CRT response (score ≥ 3), those with the least likelihood of CRT response had a significant decreased odds of CRT-D implant (adj odds ratio 0.27 [0.24-0.31], P < 0.001), with a greater decreased odds in women compared to men (P, for sex interaction <0.001). The difference in the % of CRT-D implant in men vs. women increased over the study period (P, sex Δ time trend = 0.012). CONCLUSION: In this large, contemporary cohort, sex differences in CRT-D implantation were inversely related to predicted CRT efficacy and have increased over time. Future efforts to narrow the gap in CRT-D implantation in men and women may help better align device selection with those most likely to benefit.

National Trends in the Use of Cardiac Resynchronization Therapy With or Without Implantable Cardioverter-Defibrillator.

BACKGROUND: Candidates for cardiac resynchronization therapy (CRT) receive either a biventricular pacemaker or a biventricular pacemaker with an implantable cardioverter-defibrillator (CRT-D). Optimal device selection remains challenging because the benefit of implantable cardioverter-defibrillator therapy may not be uniform, particularly in patients at competing risk of nonsudden death. METHODS AND RESULTS: In this serial cross-sectional study using the National Inpatient Sample database, we identified 311,086 admissions associated with CRT implant between 2006 to 2012. CRT-D was the most common device type (86.1%), including in patients ≥ 75 years of age with ≥ 5 Elixhauser comorbidities (75.5%). Multivariate predictors of CRT-D implant included demographic, clinical, and geographic factors: prior ventricular arrhythmia (rate ratio [RR], 1.14; 95% CI, 1.13-1.14), ischemic heart disease (RR, 1.11; 95% CI, 1.10-1.11), male sex (RR, 1.10; 95% CI, 1.09-1.10), black race (RR, 1.06; 95% CI: 1.04-1.07), and Northeast geographic region (RR, 1.06; 95% CI, 1.04-1.09). There was significant interhospital variation in the use of CRT-D (10-90 percentile range, 72.9%-98.0% CRT-D). CONCLUSIONS: The majority of patients in this contemporary US cohort underwent implantation of CRT-D. Predictors of CRT-D implant included demographic, clinical, and geographic factors. In patient subgroups predicted to have an attenuated benefit from implantable cardioverter-defibrillator therapy (older adults with multiple comorbidities), CRT-D remained the dominant device type. An improved understanding of the determinants of device selection may aid in decision making and ultimately better align patient risk with device benefit at the time of CRT implantation.