Validation of the ICD-9 Diagnostic Code for Palliative Care in Patients Hospitalized With Heart Failure Within the Veterans Health Administration

Utilization of inpatient palliative care services in cardiac arrest complicating acute pulmonary embolism

Introduction

The role of palliative care services in patients with cardiac arrest complicating acute pulmonary embolism has been infrequently studied.

Methods

All adult admissions with pulmonary embolism complicating cardiac arrest were identified using the National Inpatient Sample (2016-2020). The primary outcome of interest was the utilization of palliative care services. Secondary outcomes included predictors of palliative care utilization and its association of with in-hospital mortality, do-not-resuscitate status, discharge disposition, length of stay, and total hospital charges. Multivariable regression analysis was used to adjust for confounding.

Results

Between 01/01/2016 and 12/31/2020, of the 7,320 admissions with pulmonary embolism complicating cardiac arrest, 1229 (16.8 %) received palliative care services. Admissions receiving palliative care were on average older (68.1 ± 0.9 vs. 63.2 ± 0.4 years) and with higher baseline comorbidity (Elixhauser index 6.3 ± 0.1 vs 5.6 ± 0.6) (all p < 0.001). Additionally, this cohort had higher rates of non-cardiac organ failure (respiratory, renal, hepatic, and neurological) and invasive mechanical ventilation (all p < 0.05). Catheter-directed therapy was used less frequently in the cohort receiving palliative care, (2.8 % vs 7.9 %; p < 0.001) whereas the rates of systemic thrombolysis, mechanical and surgical thrombectomy were comparable. The cohort receiving palliative care services had higher in-hospital mortality (85.7 % vs. 69.1 %; adjusted odds ratio 2.20 [95 % CI 1.41-3.42]; p < 0.001). This cohort also had higher rates of do-not-resuscitate status and fewer discharges to home, but comparable hospitalization costs and length of hospital stay.

Conclusions

Palliative care services are used in only 16.8 % of admissions with cardiac arrest complicating pulmonary embolism with significant differences in the populations, suggestive of selective consultation.

Veterans' use of inpatient and outpatient palliative care: The national landscape

BACKGROUND

Palliative care improves the quality of life for people with life-limiting conditions, which are common among older adults. Despite the Veterans Health Administration (VA) outpatient palliative care expansion, most research has focused on inpatient palliative care. This study aimed to compare veteran characteristics and hospice use for palliative care users across care settings (inpatient vs. outpatient) and dose (number of palliative care encounters).

METHODS

This national cohort included veterans with any VA palliative care encounters from 2014 through 2017. We used VA and Medicare administrative data (2010-2017) to describe veteran demographics, socioeconomic status, life-limiting conditions, frailty, and palliative care utilization. Specialty palliative care encounters were identified using clinic stop codes (353, 351) and current procedural terminology codes (99241-99245).

RESULTS

Of 120,249 unique veterans with specialty palliative care over 4 years, 67.8% had palliative care only in the inpatient setting (n = 81,523) and 32.2% had at least one palliative care encounter in the outpatient setting (n = 38,726), with or without an inpatient palliative care encounter. Outpatient versus inpatient palliative care users were more likely to have cancer and less likely to have high frailty, but sociodemographic factors including rurality and housing instability were similar. Duration of hospice use was similar between inpatient (median = 37 days; IQR = 11, 112) and outpatient (median = 44 days; IQR = 14, 118) palliative care users, and shorter among those with only one palliative care encounter (median = 18 days; IQR = 5, 64).

CONCLUSIONS

This national evaluation provides novel insights into the care setting and dose of VA specialty palliative care for veterans. Among veterans with palliative care use, one-third received at least some palliative care in the outpatient care setting. Differences between veterans with inpatient and outpatient use motivate the need for further research to understand how care settings and number of palliative care encounters impact outcomes for veterans and older adults.

The Paradox of Palliative Care at the End of Life: Higher Rates of Aggressive Interventions in Patients with Pancreatic Cancer

Background: Palliative care has shown benefit in patients with cancer; however, little is known about the overall utilization of palliative care services in patients with pancreatic cancer and the impact of aggressive end-of-life interventions. This study aimed to explore the incidence of palliative care consultations (PCCs) in hospitalized patients with pancreatic cancer in the United States and the association between palliative care consultations and the use of aggressive interventions at the end of life. Methods: We conducted a retrospective study of patients hospitalized with pancreatic cancer. We examined patient records for 6 months prior to death for the presence of PCCs and aggressive end-of-life (EOL) interventions-emergency department visits, chemotherapy, and ICU stays. The use of EOL interventions was compared between those who did and those who did not receive PCCs, using Chi-square and Whitney U tests. Results: Of the 2883 identified patients, 858 had evidence of a PCC in their record in the last 6 months of life. Patients receiving PCCs were older at the time of death and more likely to receive chemotherapy (22.4% vs. 10.6%) in the last 6 months of life compared to those not receiving a palliative care consult. Similarly, patients with PCCs were more likely to have aggressive interventions in the EOL period. Conclusions: Less than 30% of patients with pancreatic cancer received a PCC. Those who received a PCC had more aggressive interventions in the end-of-life period, differing from what the prior literature has shown. Future investigations are necessary to explore the components and timing of PC and investigate their influence on the utilization of aggressive interventions and patient-centered outcomes.

Racial Differences in Palliative Care Use in Heart Failure Decedents

BACKGROUND

Minoritized individuals experience greater heart failure (HF) incidence and mortality rates, yet racial disparities in palliative care (PC) in HF are unknown.

METHODS

This retrospective study used electronic medical records to identify adults who were hospitalized at an academic health system and died due to HF between 2012 and 2018. Using multivariable logistic regression, we examined associations between decedents' characteristics and PC consultations (PCCs).

RESULTS

Of 1987 decedents, 45.8% (n = 911) received PCCs. Black decedents had 60% greater odds of receiving PCCs (OR = 1.60; 95% CI = 1.21-2.11) than whites. Median time from PCC to death was shorter among white than Black decedents (31.2 vs 51.5 days; P = .001). Mean age at death was younger among Black than white decedents (71.3 [14.8] vs 81.8 [12.3]; P < .001) and decedents of "other" races (71.3 [14.8] vs. 80.3 [10.4]; P = .001). Black decedents were more likely than whites to receive inotropes (54.4% vs 42.3%; P < .001) and to be admitted to hospitals (39.5% vs 29.7%; P < .001) and intensive care units in their last month (30.3% vs 18.3%; P < .001).

CONCLUSIONS

Findings suggest greater recognition of palliative-care needs among Black individuals with HF; however, most referrals to PC occur late in the disease trajectory.

Use of Palliative Care Among Adults With Newly Diagnosed Heart Failure: Insights From a US National Insured Patient Sample

BACKGROUND

Despite the known benefits for individuals with heart failure (HF), incomplete data suggest a low use of palliative care (PC) for HF in the United States. We aimed to investigate the national PC use for adults with HF by determining when they received their first PC consultation (PCC) and the associations with clinical factors following diagnosis of HF.

METHODS AND RESULTS

We conducted a retrospective cohort study in a national all-payer electronic health record database to identify adults (aged ≥18 years) with newly diagnosed HF between 2011 and 2018. The proportion of those who received PCC within 5 years following a diagnosis of HF, and associations of time to first PCC with patient characteristics and HF-specific clinical markers were determined. We followed 127 712 patients for a median of 792 days, of whom 18.3% received PCC in 5 years. Shorter time to receive PCC was associated with diagnoses of HF in 2016 to 2018 (compared with 2010-2015: adjusted hazard ratio [aHR], 1.421 [95% CI, 1.370-1.475]), advanced HF (aHR, 2.065 [95% CI, 1.940-2.198]), cardiogenic shock (aHR, 2.587 [95% CI, 2.414-2.773]), implantable cardioverter-defibrillator (aHR, 5.718 [95% CI, 5.327-6.138]), and visits at academic medical centers (aHR, 1.439 [95% CI, 1.381-1.500]).

CONCLUSIONS

Despite an expanded definition of PC and recommendations by professional societies, PC for HF remains low in the United States. Racial and geographic variations in access and use of PC exist for patients with HF. Future studies should interrogate the mechanisms of PC underusage, especially before advanced stages, and address barriers to PC services across the health care system.

What Does "Palliative Care" Represent in Research Using Secondary Data?

While much research has been done regarding "palliative care" using retrospective cohort studies of large datasets, the data sources may not be capturing specialty palliative care services. This article aims to clarify what source data are used in such studies, how specialty palliative care services are determined to have been provided or not, and mismatches between the nature of the data and the interpretation of researchers. Major US data sources that are examined include cancer registries such as the National Cancer Database; health systems' internal data; state and nation-level hospital admissions data; and claims data from Medicare and commercial payers. Problematic studies are common. Many used cancer registry data and mischaracterized palliative intent for a given cancer treatment as "palliative care services." Dozens relied on the diagnosis code for "encounter for palliative care" which lacks adequate validity for use in research. Researchers, peer-reviewers, and research consumers are cautioned about these potential pitfalls that lead to meaningless or misleading research papers. Suggestions are made regarding more rigorous methods and trustworthy data sources and additional research that can lead to consensus among researchers on these issues.

Use of inpatient palliative care in metastatic urethral cancer

BACKGROUND

In metastatic urethral cancer, temporal trends, and patterns of inpatient palliative care (IPC) use are unknown.

METHODS

Relying on the National Inpatient Sample (2006-2019), metastatic urethral cancer patients were stratified according to IPC use. Estimated annual percentage changes (EAPC) analyses and multivariable logistic regression models (LRM) for the prediction of IPC use were fitted.

RESULTS

Of 1,106 metastatic urethral cancer patients, 199 (18%) received IPC. IPC use increased from 5.8 to 28.0% over time in the overall cohort (EAPC +9.8%; P < 0.001), from <12.5 to 35.1% (EAPC +11.2%; P < 0.001), and from <12.5 to 24.7% (EAPC +9.4%; P = 0.01) in respectively females and males. Lowest IPC rates were recorded in the Midwest (13.5%) vs. highest in the South (22.5%). IPC patients were more frequently female (44 vs. 37%), and more frequently exhibited bone metastases (45 vs. 34%). In multivariable LRM, female sex (multivariable odds ratio [OR] 1.46, 95% confidence interval [CI] 1.05-2.02; P = 0.02), and bone metastases (OR 1.46, 95%CI 1.02-2.10; P = 0.04) independently predicted higher IPC rates. Conversely, hospitalization in the Midwest (OR 0.53, 95%CI 0.31-0.91; P = 0.02), and in the Northeast (OR 0.48, 95%CI 0.28-0.82; P = 0.01) were both associated with lower IPC use than hospitalization in the West.

CONCLUSION

IPC use in metastatic urethral cancer increased from a marginal rate of 5.8% to as high as 28%. Ideally, differences according to sex, metastatic site, and region should be addressed to improve IPC use rates.

Predictors of high-intensity care at the end of life among older adults with solid tumors: A population-based study

INTRODUCTION

High-intensity end-of-life (EoL) care can be burdensome for patients, caregivers, and health systems and does not confer any meaningful clinical benefit. Yet, there are significant knowledge gaps regarding the predictors of high-intensity EoL care. In this study, we identify risk factors associated with high-intensity EoL care among older adults with the four most common malignancies, including breast, prostate, lung, and colorectal cancer.

MATERIALS AND METHODS

Using SEER-Medicare data, we conducted a retrospective analysis of Medicare beneficiaries aged 65 and older who died of breast, prostate, lung, or colorectal cancer between 2011 and 2015. We used multivariable logistic regression to identify clinical, demographic, socioeconomic, and geographic predictors of high-intensity EoL care, which we defined as death in an acute care hospital, receipt of any oral or parenteral chemotherapy within 14 days of death, one or more admissions to the intensive care unit within 30 days of death, two or more emergency department visits within 30 days of death, or two or more inpatient admissions within 30 days of death.

RESULTS

Among 59,355 decedents, factors associated with increased likelihood of receiving high-intensity EoL care were increased comorbidity burden (odds ratio [OR]:1.29; 95% confidence interval [CI]:1.28-1.30), female sex (OR:1.05; 95% CI:1.01-1.09), Black race (OR:1.14; 95% CI:1.07-1.23), Other race/ethnicity (OR:1.20; 95% CI:1.10-1.30), stage III disease (OR:1.11; 95% CI:1.05-1.18), living in a county with >1,000,000 people (OR:1.23; 95% CI:1.16-1.31), living in a census tract with 10%-<20% poverty (OR:1.09; 95% CI:1.03-1.16) or 20%-100% poverty (OR:1.12; 95% CI:1.04-1.19), and having state-subsidized Medicare premiums (OR:1.18; 95% CI:1.12-1.24). The risk of high-intensity EoL care was lower among patients who were older (OR:0.98; 95% CI:0.98-0.99), lived in the Midwest (OR:0.69; 95% CI:0.65-0.75), South (OR:0.70; 95% CI:0.65-0.74), or West (OR:0.81; 95% CI:0.77-0.86), lived in mostly rural areas (OR:0.92; 95% CI:0.86-1.00), and had poor performance status (OR:0.26; 95% CI:0.25-0.28). Results were largely consistent across cancer types.

DISCUSSION

The risk factors identified in our study can inform the development of new interventions for patients with cancer who are likely to receive high-intensity EoL care. Health systems should consider incorporating these risk factors into decision-support tools to assist clinicians in identifying which patients should be referred to hospice and palliative care.

A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness

OBJECTIVES

We evaluated methods for preparing electronic health record data to reduce bias before applying artificial intelligence (AI).

METHODS

We created methods for transforming raw data into a data framework for applying machine learning and natural language processing techniques for predicting falls and fractures. Strategies such as inclusion and reporting for multiple races, mixed data sources such as outpatient, inpatient, structured codes, and unstructured notes, and addressing missingness were applied to raw data to promote a reduction in bias. The raw data was carefully curated using validated definitions to create data variables such as age, race, gender, and healthcare utilization. For the formation of these variables, clinical, statistical, and data expertise were used. The research team included a variety of experts with diverse professional and demographic backgrounds to include diverse perspectives.

RESULTS

For the prediction of falls, information extracted from radiology reports was converted to a matrix for applying machine learning. The processing of the data resulted in an input of 5,377,673 reports to the machine learning algorithm, out of which 45,304 were flagged as positive and 5,332,369 as negative for falls. Processed data resulted in lower missingness and a better representation of race and diagnosis codes. For fractures, specialized algorithms extracted snippets of text around keywork "femoral" from dual x-ray absorptiometry (DXA) scans to identify femoral neck T-scores that are important for predicting fracture risk. The natural language processing algorithms yielded 98% accuracy and 2% error rate The methods to prepare data for input to artificial intelligence processes are reproducible and can be applied to other studies.

CONCLUSION

The life cycle of data from raw to analytic form includes data governance, cleaning, management, and analysis. When applying artificial intelligence methods, input data must be prepared optimally to reduce algorithmic bias, as biased output is harmful. Building AI-ready data frameworks that improve efficiency can contribute to transparency and reproducibility. The roadmap for the application of AI involves applying specialized techniques to input data, some of which are suggested here. This study highlights data curation aspects to be considered when preparing data for the application of artificial intelligence to reduce bias.

Palliative Care Penetration Among Hospitalizations with Acute Pulmonary Embolism: A Nationwide Analysis

Background: Integration of palliative care in the management of critical illnesses has been linked with a better quality of life for patients and their families. Yet, there is a paucity of data regarding the role of palliative care for acute pulmonary embolism (PE) hospitalizations which is a leading cause of cardiovascular death in the United States. Methods: Using the Nationwide Inpatient Sample years 2005-2015, acute PE hospitalizations were identified by using ICD-9-codes. The primary outcome was the trends of palliative care penetration during acute PE hospitalizations and the main secondary outcome was the factors associated with palliative care utilization. Results: Among 505,485 acute PE hospitalizations, 15,522 (3.1%) had a palliative care encounter. Hospitalizations with high-risk PE versus non-high-risk PE showed a higher utilization for palliative care (7.6% vs. 2.7%, P < 0.001). The annual trends of palliative care penetration among hospitalizations with PE showed a rising pattern (0.6% in 2005 vs. 5.6% in 2015, Ptrend<0.001). A similar trend was observed among those with high-risk PE (0.8% in 2005 vs. 12.8% in 2015, Ptrend<0.001). The trends of palliative care utilization among cancer and non-cancer admissions increased over time (1.3%in 2005 to 15.5% in 2015 vs. 0.5% in 2005 to 3.9% in 2015, both P-trends<0.001). Some racial and regional disparities were identified among the predictors of palliative care utilization. Conclusions: Palliative care penetration among acute PE hospitalizations remains suboptimal even among high-risk PE, and cancer hospitalizations, but has been increasing in recent years. Future studies are needed to investigate the barriers for palliative care utilization and narrowing this gap among admissions with acute PE.

Palliative Care as a Component of High-Value and Cost-Saving Care During Hospitalization for Metastatic Cancer

PURPOSE

Randomized controlled trials have demonstrated that palliative care (PC) can improve quality of life and survival for outpatients with advanced cancer, but there are limited population-based data on the value of inpatient PC. We assessed PC as a component of high-value care among a nationally representative sample of inpatients with metastatic cancer and identified hospitalization characteristics significantly associated with high costs.

METHODS

Hospitalizations of patients 18 years and older with a primary diagnosis of metastatic cancer from the National Inpatient Sample from 2010 to 2019 were analyzed. We used multivariable mixed-effects logistic regression to assess medical services, patient demographics, and hospital characteristics associated with higher charges billed to insurance and hospital costs. Generalized linear mixed-effects models were used to determine cost savings associated with provision of PC.

RESULTS

Among 397,691 hospitalizations from 2010 to 2019, the median charge per admission increased by 24.9%, from $44,904 in US dollars (USD) to $56,098 USD, whereas the median hospital cost remained stable at $14,300 USD. Receipt of inpatient PC was associated with significantly lower charges (odds ratio [OR], 0.62 [95% CI, 0.61 to 0.64]; P < .001) and costs (OR, 0.59 [95% CI, 0.58 to 0.61]; P < .001). Factors associated with high charges were receipt of invasive medical ventilation (P < .001) or systemic therapy (P < .001), Hispanic patients (P < .001), young age (18-49 years, P < .001), and for-profit hospitals (P < .001). PC provision was associated with a $1,310 USD (-13.6%, P < .001) reduction in costs per hospitalization compared with no PC, independent of the receipt of invasive care and age.

CONCLUSION

Inpatient PC is associated with reduced hospital costs for patients with metastatic cancer, irrespective of age and receipt of aggressive interventions. Integration of inpatient PC may de-escalate costs incurred through low-value inpatient interventions.

Disparities in Palliative Care Among Critically Ill Patients With and Without COVID-19 at the End of Life: A Population-Based Analysis

Background

The surge in critical illness and associated mortality brought by the coronavirus virus disease 2019 (COVID-19) pandemic, coupled with staff shortages and restrictions of family visitation, may have adversely affected delivery of palliative measures, including at the end of life of affected patients. However, the population-level patterns of palliative care (PC) utilization among septic critically ill patients with and without COVID-19 during end-of-life hospitalizations are unknown.

Methods

A statewide dataset was used to identify patients aged ≥ 18 years with intensive care unit (ICU) admission and a diagnosis of sepsis in Texas, who died during hospital stay during April 1 to December 31, 2020. COVID-19 was defined by the International Classification of Diseases, 10th Revision (ICD-10) code U07.1, and PC was identified by ICD-10 code Z51.5. Multivariable logistic models were fitted to estimate the association of COVID-19 with use of PC among ICU admissions. A similar approach was used for sensitivity analyses of strata with previously reported lower and higher than reference use of PC.

Results

There were 20,244 patients with sepsis admitted to ICU during terminal hospitalization, and 9,206 (45.5%) had COVID-19. The frequency of PC among patients with and without COVID-19 was 32.0% vs. 37.1%, respectively. On adjusted analysis, the odds of PC use remained lower among patients with COVID-19 (adjusted odds ratio (aOR): 0.84, 95% confidence interval (CI): 0.78 - 0.90), with similar findings on sensitivity analyses.

Conclusions

PC was markedly less common among critically ill septic patients with COVID-19 during terminal hospitalization, compared to those without COVID-19. Further studies are needed to determine the factors underlying these findings in order to reduce disparities in use of PC.

Temporal trends and barriers for inpatient palliative care referral in metastatic gynecologic cancer patients receiving specific critical care therapies

Objective

Existing evidence suggests that palliative care (PC) is highly underutilized in metastatic gynecologic cancer (mGCa). This study aims to explore temporal trends and predictors for inpatient PC referral in mGCa patients who received specific critical care therapies (CCT).

Methods

The National Inpatient Sample from 2003 to 2015 was used to identify mGCa patients receiving CCT. Basic characteristics were compared between patients with and without PC. Annual percentage change (APC) was estimated to reflect the temporal trend in the entire cohort and subgroups. Multivariable logistic regression was employed to explore potential predictors of inpatient PC referral.

Results

In total, 122,981 mGCa patients were identified, of whom 10,380 received CCT. Among these, 1,208 (11.64%) received inpatient PC. Overall, the rate of PC referral increased from 1.81% in 2003 to 26.30% in 2015 (APC: 29.08%). A higher increase in PC usage was found in white patients (APC: 30.81%), medium-sized hospitals (APC: 31.43%), the Midwest region (APC: 33.84%), and among patients with ovarian cancer (APC: 31.35%). Multivariable analysis suggested that medium bedsize, large bedsize, Midwest region, West region, uterine cancer and cervical cancer were related to increased PC use, while metastatic sites from lymph nodes and genital organs were related to lower PC referral.

Conclusion

Further studies are warranted to better illustrate the barriers for PC and finally improve the delivery of optimal end-of-life care for mGCa patients who receive inpatient CCT, especially for those diagnosed with ovarian cancer or admitted to small scale and Northeast hospitals.

Validation of Electronic Health Record-Based Algorithms to Identify Specialist Palliative Care Within the Department of Veterans Affairs

BACKGROUND

The measurement of specialist palliative care (SPC) across Department of Veterans Affairs (VA) facilities relies on algorithms applied to administrative databases. However, the validity of these algorithms has not been systematically assessed.

MEASURES

In a cohort of people with heart failure identified by ICD 9/10 codes, we validated the performance of algorithms to identify SPC consultation in administrative data and differentiate outpatient from inpatient encounters.

INTERVENTION

We derived separate samples of people by receipt of SPC using combinations of stop codes signifying specific clinics, current procedural terminology (CPT), a variable representing encounter location, and ICD-9/ICD-10 codes for SPC. We calculated sensitivity, specificity, and positive and negative predictive values (PPV, NPV) for each algorithm using chart review as the reference standard.

OUTCOMES

Among 200 people who did and did not receive SPC (mean age = 73.9 years (standard deviation [SD] = 11.5), 98% male, 73% White), the validity of the stop code plus CPT algorithm to identify any SPC consultation was: Sensitivity = 0.89 (95% Confidence Interval [CI] 0.82-0.94), Specificity = 1.0 [0.96-1.0], PPV = 1.0 [0.96-1.0], NPV = 0.93 [0.86-0.97]. The addition of ICD codes increased sensitivity but decreased specificity. Among 200 people who received SPC (mean age = 74.2 years [SD = 11.8], 99% male, 71% White), algorithm performance in differentiating outpatient from inpatient encounters was: Sensitivity = 0.95 (0.88-0.99), Specificity = 0.81 (0.72-0.87), PPV = 0.38 (0.29-0.49), and NPV = 0.99 (0.95-1.0). Adding encounter location improved the sensitivity and specificity of this algorithm.

CONCLUSIONS

VA algorithms are highly sensitive and specific in identifying SPC and in differentiating outpatient from inpatient encounters. These algorithms can be used with confidence to measure SPC in quality improvement and research across the VA.

Racial disparities in inpatient palliative care consultation among frail older patients undergoing high-risk elective surgical procedures in the United States: a cross-sectional study of the national inpatient sample

Surgical interventions are common among seriously ill older patients, with nearly one-third of older Americans facing surgery in their last year of life. Despite the potential benefits of palliative care among older surgical patients undergoing high-risk surgical procedures, palliative care in this population is underutilized and little is known about potential disparities by race/ethnicity and how frailty my affect such disparities. The aim of this study was to examine disparities in palliative care consultations by race/ethnicity and assess whether patients' frailty moderated this association. Drawing on a retrospective cross-sectional study of inpatient surgical episodes using the National Inpatient Sample of the Healthcare Cost and Utilization Project from 2005 to 2019, we found that frail Black patients received palliative care consultations least often, with the largest between-group adjusted difference represented by Black-Asian/Pacific Islander frail patients of 1.6 percentage points, controlling for sociodemographic, comorbidities, hospital characteristics, procedure type, and year. No racial/ethnic difference in the receipt of palliative care consultations was observed among nonfrail patients. These findings suggest that, in order to improve racial/ethnic disparities in frail older patients undergoing high-risk surgical procedures, palliative care consultations should be included as the standard of care in clinical care guidelines.

Poor utilization of palliative care among Medicare patients with chronic limb-threatening ischemia

OBJECTIVE

Patients with chronic limb-threatening ischemia (CLTI) experience high annual mortality and would benefit from timely palliative care intervention. We sought to better characterize use of palliative care among patients with CLTI in the Medicare population.

METHODS

Using Medicare data from 2017 to 2018, we identified patients with CLTI, defined as two or more encounters with a CLTI diagnosis code. Palliative care evaluations were identified using ICD-10-CM Z51.5 "Encounter for palliative care." Time intervals between CLTI diagnosis, palliative consultation, and death or end of follow-up were calculated. Associations between patient demographics, comorbidities, and palliative care consultation were assessed.

RESULTS

A total of 12,133 Medicare enrollees with complete data were categorized as having CLTI. Of these, 7.4% (894) underwent a palliative care evaluation at a median of 170 days (interquartile range, 45-352 days) from their CLTI diagnosis. Compared with those who did not undergo evaluation, palliative patients were more likely to be dual eligible for Medicaid (45.2% vs 38.1%; P < .001) and had more comorbid conditions (P < .001). After controlling for gender and race, age (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.02-1.04), dual eligibility (OR, 1.40; 95% CI, 1.22-1.62), solid organ malignancy (OR, 2.82; 95% CI, 1.92-4.14), hematologic malignancy (OR, 2.24; 95% CI, 1.27-3.98), congestive heart failure (OR, 1.44; 95% CI, 1.15-1.88), complicated diabetes (OR, 1.35; 95% CI, 1.11-1.65), dementia (OR, 1.32; 95% CI, 1.04-1.66), and severe renal failure (OR, 1.56; 85% CI. 1.24-1.98) were independently associated with palliative care evaluation. During mean follow up of 410 ± 220 days, 16.9% (2044) of patients died at a mean of 268 (±189) days after their CLTI diagnosis. Among living patients, only 3.2% (325) underwent palliative evaluation. Comparatively, 27.8% (569) of patients who died received palliative care at a median of 196 days (interquartile range, 55-362 days) after their diagnosis and 15 days (interquartile range, 5-63 days) prior to death.

CONCLUSIONS

Despite high mortality, palliative care services were rarely provided to Medicare patients with CLTI. Age, medical complexity, and income status may play a role in the decision to consult palliative care. When obtained, evaluations occurred closer to time of death than to time of CLTI diagnosis, suggesting misuse of palliative care as end-of-life care.

A Roadmap to Artificial Intelligence (AI): Methods for Designing and Building AI ready Data for Women's Health Studies

Objectives

Evaluating methods for building data frameworks for application of AI in large scale datasets for women's health studies.

Methods

We created methods for transforming raw data to a data framework for applying machine learning (ML) and natural language processing (NLP) techniques for predicting falls and fractures.

Results

Prediction of falls was higher in women compared to men. Information extracted from radiology reports was converted to a matrix for applying machine learning. For fractures, by applying specialized algorithms, we extracted snippets from dual x-ray absorptiometry (DXA) scans for meaningful terms usable for predicting fracture risk.

Discussion

Life cycle of data from raw to analytic form includes data governance, cleaning, management, and analysis. For applying AI, data must be prepared optimally to reduce algorithmic bias.

Conclusion

Algorithmic bias is harmful for research using AI methods. Building AI ready data frameworks that improve efficiency can be especially valuable for women's health.

Palliative care and healthcare utilization among metastatic breast cancer patients in U.S. Hospitals

There is a lack of research focused on understanding the different characteristics and healthcare utilization of metastatic breast cancer patients by palliative care use. This study aims to investigate trend of in-patient palliative care and its association with healthcare utilization among hospitalized metastatic breast cancer patients in the US. National Inpatient Sample (NIS) was used to identify nationwide metastatic breast cancer patients (n = 5209, weighted n = 25,961) from 2010 to 2014. We examined the characteristics of the study sample by palliative care and its association with healthcare utilization, measured by discounted hospital charges and length of stay. Multivariable survey regression models were used to identify predictors. Among 26,961 breast cancer patients, 19.0% had palliative care. Percentage of receiving palliative care during the period were gradually increased. Social factors including race, insurance types were also associated with a receipt of palliative care. Survey linear regression results showed that patients with palliative care were associated with 31% lower hospital charges, however, length of stays were not significantly associated. This study found evidence of who was associated with the receipt of palliative care and its relationship with healthcare utilization. This study also emphasizes the importance of receiving palliative care in patients with breast cancer, paving the way for future research into ways to improve palliative care in cancer patients. This study also found social differences and gave evidence of programs that could be used to help vulnerable groups in future health policy decisions.

Association between inpatient palliative care encounter and 30-day all-cause readmissions after index hospitalization for chronic obstructive pulmonary disease

BACKGROUND

Studies exist on the association between inpatient Palliative Care Encounter (iPCE) and 30-day rehospitalization among cancer and several non-cancer conditions but limited in persons with Chronic Obstructive Pulmonary Disease (COPD).

OBJECTIVE

To assess the association between an iPCE with the risk of 30-day rehospitalization after an index hospitalization for COPD.

METHODS

We conducted a cross-sectional analysis of the Nationwide Readmissions Database (2010-2014). Index hospitalizations were defined as persons ≥ 18 years of age, discharge destinations of either Home/Routine, Home with Home Care, or a Facility, and an index hospitalization with Diagnosis Related Group of COPD. The International Classification of Diseases, 9th revision codes were used to extract comorbidities and a Palliative Care Encounter (V66.7).

RESULTS

There were 3,163,889 index hospitalizations and iPCE occurred in 21,330 (0.67%). There were 558,059 (17.63%) with a 30-day rehospitalization. An iPCE was associated with a significantly lower adjusted odds of 30-day readmission (Odds Ratio [OR], 0.50; 95% Confidence Interval [CI], 0.46 to 0.54).  By discharge destination, the odds of 30-day rehospitalization were for a discharged to a facility (OR, 0.37; 95% CI, 0.32 to 0.42), to home with home health (OR, 0.42; 95% CI, 0.37 to 0.47), and to home (OR, 0.98; 95% CI, 0.85 to 1.12) for those with relative to without iPCE.

CONCLUSION

Inpatient PCE was associated with a 50% lower relative odds of 30-day rehospitalization after an index hospitalization for COPD. This association varied by discharge destination being statistically significant among those with a discharge destination of a facility (63%) and home with home care (58%).

Verification of administrative data to measure palliative care at terminal hospital stays

BACKGROUND

Administrative data and clinician documentation have not been directly compared for reporting palliative care, despite concerns about under-reporting.

OBJECTIVE

The aim of this study was to verify the use of routinely collected administrative data for reporting in-hospital palliation and to examine factors associated with coded palliative care in hospital administrative data.

METHOD

Hospital administrative data and inpatient palliative care activity documented in medical records were compared for patients dying in hospital between 1 July 2017 and 31 December 2017. Coding of palliative care in administrative data is based on hospital care type coded as "palliative care" and/or assignment of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) palliative care diagnosis code Z51.5. Medical records were searched for specified keywords, which, read in context, indicated a palliative approach to care. The list of keywords (palliative, end of life, comfort care, cease observations, crisis medications, comfort medications, syringe driver, pain or symptom management, no cardiopulmonary resuscitation, advance medical plan/resuscitation plan, deteriorating, agitation, restless and delirium) was developed in consultation with seven local clinicians specialising in palliative care or geriatric medicine.

RESULTS

Of the 576 patients who died in hospital, 246 were coded as having received palliative care, either solely by the ICD-10-AM diagnosis code Z51.5 (42%) or in combination with a "palliative care" care type (58%). Just over one-third of dying patients had a palliative care specialist involved in their hospital care. Involvement of a palliative care specialist and a cancer diagnosis substantially increased the odds of a Z51.5 code (odds ratio = 11 and 4, respectively). The majority of patients with a "syringe driver" or identified as being at the "end of life" were assigned a Z51.5 code (73.5% and 70.5%, respectively), compared to 53.8% and 54.7%, respectively, for "palliative" or "comfort care." For each keyword indicating a palliative approach to care, the Z51.5 code was more likely to be assigned if the patient had specialist palliative care input or if they had cancer.

CONCLUSION

Our results suggest administrative data under-represented in-hospital palliative care, at least partly due to medical record documentation that failed to meet ICD-10-AM coding criteria. Collaboration between clinicians and coders can enhance the quality of records and, consequently, administrative data.

Incidence and Trends in the Use of Palliative Care among Patients with Reduced, Middle-Range, and Preserved Ejection Fraction Heart Failure

Background: Clinical practice guidelines recommend integrating palliative care (PC) into the care of patients with heart failure (HF) to address their many palliative needs. However, the incidence rates of PC use among HF subtypes are unknown. Methods: We conducted a retrospective cohort study of patients with the following HF subtypes in the Department of Veterans Affairs: reduced ejection fraction (HFrEF), mid-range ejection fraction (HFmEF), and preserved ejection fraction (HFpEF). Patients were included at the time of HF diagnosis from 2011 to 2015 and followed until a minimum of five years or death. Incidence rates of receipt of PC (primary outcome) were calculated using generalized estimating equations. We evaluated the time to incident PC by HF subtype with Kaplan-Meier analyses and with adjusted restricted mean survival time. Results: Of the 113,555 patients, 69% were ≥65 years, 98% were male, 73% White, and 18% Black; 58% had HFrEF, 7% HFmEF, and 34% HFpEF. Twenty percent received PC during follow-up, and 66% died. Adjusted PC incidence rates were higher among patients with HFrEF (47 per 1000 person-years, confidence interval [95% CI] 43-52) than for HFmEF and HFpEF (42 per 1000 person-years, CI 38-47 for both). Restricting follow-up to five years, patients with HFrEF received PC six weeks earlier than patients with HFpEF. There was no significant difference in time to PC between patients with HFmEF versus HFpEF. Conclusion: About 1 in 20 patients with HFrEF and 1 in 25 patients with HFmEF and HFpEF receive PC annually. Patients with HFrEF receive PC sooner than patients with HFmEF and HFpEF.

Palliative Care Utilization Among Hospitalized Patients With Common Chronic Conditions in the United States

Objective: Limited data exist around the receipt of palliative care (PC) in patients hospitalized with common chronic conditions. We studied the independent predictors, temporal trends in rates of PC utilization in patients hospitalized with acute exacerbation of common chronic diseases. Methods: Population-based cohort study of all hospitalizations with an acute exacerbation of heart disease (HD), cerebrovascular accident (CVA), cancer (CA), and chronic lower respiratory disease (CLRD). Patients aged ≥18 years or older between January 1, 2004, and December 31, 2017, referred for inpatient PC were extracted from the National Inpatient Sample. Poisson regression analyses were used to estimate temporal trends. Results: Between 2004 and 2017, of 91,877,531 hospitalizations, 55.2%, 13.9%, 17.2%, and 13.8% hospitalizations were related to HD, CVA, CA, and CLRD, respectively. There was a temporal increase in the uptake of PC across all disease groups. Age-adjusted estimated rates of PC per 100,000 hospitalizations/year were highest for CA (2308 (95% CI 2249-2366) to 10,794 (95% CI 10,652-10,936)), whereas the CLRD cohort had the lowest rates of PC referrals (255 (95% CI 231-278) to 1882 (95% CI 1821-1943)) between 2004 and 2017, respectively. In the subgroup analysis of patients who died during hospitalization, the CVA group had the highest uptake of PC per 100,000 hospitalizations/year (4979 (95% CI 4918-5040)) followed by CA (4241 (95% CI 4189-4292)), HD (3250 (95% CI 3211-3289)) and CLRD (3248 (95% CI 3162-3405)). Conclusion: PC service utilization is increasing but remains disparate, particularly in patients that die during hospital admission from common chronic conditions. These findings highlight the need to develop a multidisciplinary, patient-centered approach to improve access to PC services in these patients.

Inpatient palliative care encounter and 30-day readmission among hospitalizations for heart failure

Aim: To determine the association between inpatient palliative care encounter (PCE) and 30-day rehospitalization. Materials & methods: The Nationwide Readmission Database was used in a cross-sectional design study. Comorbidities and a palliative care encounter (PCE; V66.7) were defined using ICD-9 codes. Results: Overall, 21.28% of 3,534,480 index hospitalizations were readmitted. PCE occurred in 1.66% of index hospitalizations and was associated with a lower odds of 30-day rehospitalization (adjusted odds ratio, 0.38; 95% CI: 0.35-0.40). This association remained significant when assessed by discharge destination. Conclusion: PCE was associated with a lower relative odds of 30-day rehospitalization. A 73% decrease in the relative odds of 30-day rehospitalization among discharges to a facility, 64% for home with home health, and 22% for discharges to home.

Inpatient palliative care use by patients with sickle cell disease: a retrospective cross-sectional study

OBJECTIVE

Sickle cell disease (SCD) is a highly morbid condition notable for recurrent hospitalisations due to vaso-occlusive crises and complications of end organ damage. Little is known about the use of inpatient palliative care services in adult patients with SCD. This study aims to evaluate inpatient palliative care use during SCD-related hospitalisations overall and during terminal hospitalisations. We hypothesise that use of palliative care is low in SCD hospitalisations.

DESIGN

A retrospective cross-sectional study using data from the National Inpatient Sample from 2008 to 2017 was conducted.

SETTING

US hospitals from 47 states and the District of Columbia.

PARTICIPANTS

Patients >18 years old hospitalised with a primary or secondary International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or ICD-10-CM diagnosis of SCD were included.

PRIMARY AND SECONDARY OUTCOME MEASURES

Palliative care service use (documented by ICD-9-CM and ICD-10-CM diagnosis codes V66.7 and Z51.5).

RESULTS

987 555 SCD-related hospitalisations were identified, of which 4442 (0.45%) received palliative care service. Palliative care service use increased at a rate of 9.2% per year (95% CI 5.6 to 12.9). NH-black and Hispanic patients were 33% and 53% less likely to have palliative care services compared with NH-white patients (OR 0.67; 95% CI 0.45 to 0.99 and OR 0.47; 95% CI 0.26 to 0.84). Female patients (OR 0.40; 95% CI 0.21 to 0.76), Medicaid use (OR 0.40; 95% CI 0.21 to 0.78), rural (OR 0.47; 95% CI 0.28 to 0.79) and urban non-teaching hospitals (OR 0.61; 95% CI 0.47 to 0.80) each had a lower likelihood of palliative care services use.

CONCLUSION

Use of palliative care during SCD-related hospitalisations is increasing but remains low. Disparities associated with race and gender exist for use of palliative care services during SCD-related hospitalisation. Further studies are needed to guide evidence-based palliative care interventions for more comprehensive and equitable care of adult patients with SCD.

Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies

INTRODUCTION

Therapeutic options for type 2 diabetes mellitus (T2DM) have expanded over the last decade with the emergence of cardioprotective novel agents, but without such data for older drugs, leaving a critical gap in our understanding of the relative effects of T2DM agents on cardiovascular risk.

METHODS AND ANALYSIS

The large-scale evidence generations across a network of databases for T2DM (LEGEND-T2DM) initiative is a series of systematic, large-scale, multinational, real-world comparative cardiovascular effectiveness and safety studies of all four major second-line anti-hyperglycaemic agents, including sodium-glucose co-transporter-2 inhibitor, glucagon-like peptide-1 receptor agonist, dipeptidyl peptidase-4 inhibitor and sulfonylureas. LEGEND-T2DM will leverage the Observational Health Data Sciences and Informatics (OHDSI) community that provides access to a global network of administrative claims and electronic health record data sources, representing 190 million patients in the USA and about 50 million internationally. LEGEND-T2DM will identify all adult, patients with T2DM who newly initiate a traditionally second-line T2DM agent. Using an active comparator, new-user cohort design, LEGEND-T2DM will execute all pairwise class-versus-class and drug-versus-drug comparisons in each data source, producing extensive study diagnostics that assess reliability and generalisability through cohort balance and equipoise to examine the relative risk of cardiovascular and safety outcomes. The primary cardiovascular outcomes include a composite of major adverse cardiovascular events and a series of safety outcomes. The study will pursue data-driven, large-scale propensity adjustment for measured confounding, a large set of negative control outcome experiments to address unmeasured and systematic bias.

ETHICS AND DISSEMINATION

The study ensures data safety through a federated analytic approach and follows research best practices, including prespecification and full disclosure of results. LEGEND-T2DM is dedicated to open science and transparency and will publicly share all analytic code from reproducible cohort definitions through turn-key software, enabling other research groups to leverage our methods, data and results to verify and extend our findings.

Palliative Care Consultations in Patients with Severe Traumatic Brain Injury: Who Receives Palliative Care Consultations and What Does that Mean for Utilization?

BACKGROUND

Palliative care has the potential to improve goal-concordant care in severe traumatic brain injury (sTBI). Our primary objective was to illuminate the demographic profiles of patients with sTBI who receive palliative care encounters (PCEs), with an emphasis on the role of race. Secondary objectives were to analyze PCE usage over time and compare health care resource utilization between patients with or without PCEs.

METHODS

The National Inpatient Sample database was queried for patients age  ≥  18 who had a diagnosis of sTBI, defined by using International Classification of Diseases, 9th Revision codes. PCEs were defined by using International Classification of Diseases, 9th Revision code V66.7 and trended from 2001 to 2015. To assess factors associated with PCE in patients with sTBI, we performed unweighted generalized estimating equations regression. PCE association with decision making was modeled via its effect on rate of percutaneous endoscopic gastrostomy (PEG) tube placement. To quantify differences in PCE-related decisions by race, race was modeled as an effect modifier.

RESULTS

From 2001 to 2015, the proportion of palliative care usage in patients with sTBI increased from 1.5 to 36.3%, with 41.6% White, 22.3% Black, and 25% Hispanic patients with sTBI having a palliative care consultation in 2015, respectively. From 2008 to 2015, we identified 17,673 sTBI admissions. White and affluent patients were more likely to have a PCE than Black, Hispanic, and low socioeconomic status patients. Across all races, patients receiving a PCE resulted in a lower rate of PEG tube placement; however, White patients exhibited a larger reduction of PEG tube placement than Black patients. Patients using palliative care had lower total hospital costs (median $16,368 vs. $26,442, respectively).

CONCLUSIONS

Palliative care usage for sTBI has increased dramatically this century and it reduces resource utilization. This is true across races, however, its usage rate and associated effect on decision making are race-dependent, with White patients receiving more PCE and being more likely to decline the use of a PEG tube if they have had a PCE.

Validity of Methods to Identify Individuals With Lower Extremity Amputation Using Department of Veterans Affairs Electronic Medical Records

Objectives

To determine the positive predictive value (PPV) of algorithms to identify patients with major (at the ankle or more proximal) lower extremity amputation (LEA) using Department of Veterans Affairs electronic medical records (EMR) and to evaluate whether PPV varies by sex, age, and race.

Design

We conducted a validation study comparing EMR determined LEA status to self-reported LEA (criterion standard).

Setting

Veterans who receive care at the Department of Veterans Affairs.

Participants

We invited a national sample of patients (N=699) with at least 1 procedure or diagnosis code for major LEA to participate. We oversampled women, Black men, and men ≤40 years of age.

Interventions

Not applicable.

Main Outcome Measure

We calculated PPV estimates and false negative percentages for 7 algorithms using EMR LEA procedure and diagnosis codes relative to self-reported major LEA.

Results

A total of 466 veterans self-reported their LEA status (68%). PPVs for the 7 algorithms ranged from 89% to 100%. The algorithm that required a single diagnosis or procedure code had the lowest PPV (89%). The algorithm that required at least 1 procedure code had the highest PPV (100%) but also had the highest proportion of false negatives (66%). Algorithms that required at least 1 procedure code or 2 or more diagnosis codes 1 month to 1 year apart had high PPVs (98%-99%) but varied in terms of false negative percentages. PPV estimates were higher among men than women but did not differ meaningfully by age or race, after accounting for sex.

Conclusion

PPVs were higher if 1 procedure or at least 2 diagnosis codes were required; the difference between algorithms was marked by sex. Investigators should consider trade-offs between PPV and false negatives to identify patients with LEA using EMRs.

Temporal Trends, Predictors and Outcomes of Inpatient Palliative Care Use in Cardiac Arrest Complicating Acute Myocardial Infarction

BACKGROUND

Utilization of inpatient palliative care services (PCS) has been infrequently studied in patients with cardiac arrest complicating acute myocardial infarction (AMI-CA).

METHODS

Adult AMI-CA admissions were identified from the National Inpatient Sample (2000-2017). Outcomes of interest included temporal trends and predictors of PCS use and in-hospital mortality, length of stay, hospitalization costs and discharge disposition in AMI-CA admissions with and without PCS use. Multivariable logistic regression and propensity matching were used to adjust for confounding.

RESULTS

Among 584,263 AMI-CA admissions, 26,919 (4.6%) received inpatient PCS. From 2000 to 2017 PCS use increased from <1% to 11.5%. AMI-CA admissions that received PCS were on average older, had greater comorbidity, higher rates of cardiogenic shock, acute organ failure, lower rates of coronary angiography (48.6% vs 63.3%), percutaneous coronary intervention (37.4% vs 46.9%), and coronary artery bypass grafting (all p < 0.001). Older age, greater comorbidity burden and acute non-cardiac organ failure were predictive of PCS use. In-hospital mortality was significantly higher in the PCS cohort (multivariable logistic regression: 84.6% vs 42.9%, adjusted odds ratio 3.62 [95% CI 3.48-3.76]; propensity-matched analysis: 84.7% vs. 66.2%, p < 0.001). The PCS cohort received a do- not-resuscitate status more often (47.6% vs. 3.7%), had shorter hospital stays (4 vs 5 days), and were discharged more frequently to skilled nursing facilities (73.6% vs. 20.4%); all p < 0.001. These results were consistent in the propensity-matched analysis.

CONCLUSIONS

Despite an increase in PCS use in AMI-CA, it remains significantly underutilized highlighting the role for further integrating of these specialists in AMI-CA care.

Palliative Care and Life-Sustaining/Local Procedures in Colorectal Cancer in the United States Hospitals: A Ten-Year Perspective

Background

In recent years, palliative care utilization has been increasing while life-sustaining/local procedures have been declining at the end of life. Palliative care utilization widely varies based on tumor type. Limited information is available on inpatient palliative care in colorectal cancer.

Aims

This study investigated inpatient palliative care utilization and its association with patient demographics, hospital charges, and procedures among colorectal cancer patients admitted to US hospitals between 2008 and 2017. Receipt of life-sustaining and local procedures and surgeries were also investigated during the ten years.

Methods

Data were extracted from the National inpatient sample (NIS) database containing de-identified information from each hospitalization. Codes V66.7 for ICD-9-CM or Z51.5 for ICD-10-CM were used to find palliative care utilization. Data were analyzed using generalized regression with adjustment for variations in predictors. The Compound Annual Growth Rate (CAGR) was calculated for palliative care and procedures over time.

Results

Of the 487,027 colorectal cancer hospitalizations, only 6.04% utilized palliative care. This percentage significantly increased over time from 2.3% in 2008 to 9.3% in 2017 (P<0.0001). Palliative care utilization sizably decreased hospital charges by $18,010 per hospitalization (P<0.0001) and was positively associated with female gender, severe disease, and age over 80 years (P≤ 0.05). Palliative care utilization was inversely associated with using life-sustaining and local procedures and surgeries (P<0.0001). Life-sustaining procedures (intubation, infusion of concentrate nutrients, dialysis, and blood transfusion) and surgeries were decreased over time (P<0.001).

Conclusions

Palliative care utilization increased over time and was inversely associated with hospital charges and performing procedures among colorectal cancer patients. Our findings warrant further research and interventions to increase palliative care utilization in colorectal cancer.

Inpatient palliative care utilisation among patients with gallbladder cancer in the United States: A 10-year perspective

OBJECTIVES

Gallbladder cancer (GBC) is a rare, poor-prognosis cancer with unique demographics, comorbidities and a paucity of research. This study investigated inpatient palliative care and its associations with demographics, comorbidities (e.g., obesity), length of stay and hospital charges in GBC in US hospitals (2007-2016).

METHODS

Data were extracted from the National Inpatient Sample (NIS) database that contains deidentified clinical and nonclinical information for each hospitalisation. Inpatient palliative care utilisation was identified using the International Classification of Diseases (ICD-9 and ICD-10) codes (V66.7 and Z51.5). Generalised regression analysis was conducted with adjustment for variations in predictors.

RESULTS

Of the 4921 reported GBC hospitalizations, only 10.3% encountered palliative care. Palliative care was associated with reduced hospital charges by $12,405 per hospitalisation (P < 0.0001) with no change in length of stay. Palliative care utilisation increased over time (P = 0.004). It was associated with age >80 years, with more severe disease, and in-hospital death (P < 0.0001). Obesity had a negative association with palliative care utilisation (P = 0.0029).

DISCUSSION

Our novel study found that obese people were less likely to use palliative care services in GBC. Interventions are needed to increase palliative care consultation in GBC patients, particularly in obese patients.

Inpatient Palliative Care Is Less Utilized in Rare, Fatal Extrahepatic Cholangiocarcinoma: A Ten-Year National Perspective

Background—Extrahepatic cholangiocarcinoma (ECC) is a rare, morbid, fatal cancer with distressing symptoms. Maintaining a high quality of life while reducing hospital charges and length of stay (LOS) for the end-of-life period remains a major challenge for the healthcare system. Palliative care utilization has been shown to address these challenges; moreover, its use has increased in recent years among cancer patients. However, the utilization of palliative care in rare cancers, such as ECC, has not yet been explored. Objectives—To investigate palliative care utilization among ECC patients admitted to US hospitals between 2007 and 2016 and its association with patient demographics, clinical characteristics, hospital charges, and LOS. Methods—De-identified patient data of each hospitalization were retrieved from the National Inpatient Sample (NIS) database. Codes V66.7 (ICD-9-CM) or Z51.5 (ICD-10-CM) were used to find palliative care utilization. Multivariate adjusted logistic regression analyses were conducted to assess factors associated with palliative care use, LOS, hospital charges, and in-hospital death. Results—Of 4426 hospitalizations, only 6.7% received palliative care services. Palliative care utilization did not significantly increase over time (p = 0.06); it reduced hospital charges by USD 25,937 (p < 0.0001) and LOS by 1.3 days (p = 0.0004) per hospitalization. Palliative care was positively associated with female gender, severe disease, and age group ≥80 (p ≤ 0.05). The average LOS was 8.5 days for each admission. Conclusions—Hospital admissions with palliative care utilization had lower hospital charges and LOS in ECC. However, ECC patients received less palliative care compared with more common cancers sharing similar symptoms (e.g., pancreatic cancer). ECC patients also had longer LOS compared with the national average. Further research is warranted to develop interventions to increase palliative care utilization among ECC hospital patients.

Association between Palliative Care, Days at Home, and Health Care Use in Patients with Advanced COPD: A Cohort Study

RATIONALE

Palliative care focuses on improving quality of life for patients with life-limiting conditions. While previous studies have shown palliative care to be associated with reduced acute health care use in people with cancer and other illnesses, these findings may not generalize to patients with COPD.

OBJECTIVES

We examined the association between palliative care and rates of days at home, location of death, and acute health care use in patients with COPD.

METHODS

We used health administrative databases in Ontario, Canada to identify patients with advanced COPD hospitalized between April 2010 and March 2017 and followed until March 2018. Patients who received palliative care were matched 1:1 to those who did not on age, sex, long-term oxygen, previous COPD hospitalizations and propensity scores. Rate ratios (RR) were estimated using Poisson models with generalized estimating equations to account for matching.

RESULTS

Among 35,492 patients, 1,788 (5%) received palliative care. In the matched cohort (1,721 pairs), people with COPD receiving palliative care had similar rates of days at home (RR=1.01, 95% CI [0.97, 1.05]) but were more likely to die at home (16.4% vs. 10.0%, p<0.001) compared to those who did not receive palliative care. Rates of healthcare utilization were similar except for increased hospitalizations in the palliative care group (RR=1.09, 95% CI [1.01, 1.18]).

CONCLUSIONS

Receipt of palliative care did not reduce days at home or healthcare utilization but was associated with a modest increase in proportion dying at home. Future work should evaluate palliative care strategies designed specifically for patients with COPD.

Palliative Care Involvement in Patients Hospitalized in the United States with Aneurysmal Subarachnoid Hemorrhage

Background: Aneurysmal subarachnoid hemorrhage (aSAH) has a high mortality rate and significantly impacts survivors' quality of life. Objective: To assess impact of specialty palliative care services (sPCS) among patients hospitalized with aSAH. Design: A retrospective cohort study using the National Inpatient Sample (2017-2018). Setting/Subjects: U.S. adult patients hospitalized for aSAH with and without sPCS involvement. Measurements: Mortality and health care utilization variables. Results: Among 48,050 patients with aSAH, 12.7% received sPCS input. aSAH patients with sPCS were more likely to be sicker (higher National Inpatient Sample-subarachnoid hemorrhage [NIS-SAH] severity score, p < 0.01). Patients with sPCS had a 70% in-hospital mortality rate, whereas only 9% of the rest of this cohort died during the incident hospitalization (p < 0.01). Those with sPCS involvement had shorter lengths of stay (p < 0.05) and nonsignificantly lower hospital charges. Conclusion: sPCS involvement, inferred by International Classification of Diseases, 10th Revision (ICD-10) code Z51.5, was associated with shorter length of stay and lower hospital charges among survivors, but this did not meet prespecified statistical significance. There may be significant benefits to consulting sPCS for patients hospitalized with aSAH.

Trends and Predictors of Palliative Care Consultation Among Patients Admitted for LVAD: A Retrospective Analysis From the Nationwide Inpatient Sample Database From 2006-2014

BACKGROUND

Left ventricular assist devices (LVADs) are an essential part of advanced heart failure (HF) management, either as a bridge to transplantation or destination therapy. Patients with advanced HF have a poor prognosis and may benefit from palliative care consultation (PCC). However, there is scarce data regarding the trends and predictors of PCC among patients undergoing LVAD implantation.

AIM

This study aims to assess the incidence, trends, and predictors of PCC in LVAD recipients using the United States Nationwide Inpatient Sample (NIS) database from 2006 until 2014.

METHODS

We conducted a weighted analysis on LVAD recipients during their index hospitalization. We compared those who had PCC with those who did not. We examined the trend in palliative care utilization and calculated adjusted odds ratios (aOR) to identify demographic, social, and hospital characteristics associated with PCC using multivariable logistic regression analysis.

RESULTS

We identified 20,675 admissions who had LVAD implantation, and of them 4% had PCC. PCC yearly rate increased from 0.6% to 7.2% (P < 0.001). DNR status (aOR 28.30), female sex (aOR 1.41), metastatic cancer (aOR: 3.53), Midwest location (aOR 1.33), and small-sized hospitals (aOR 2.52) were positive predictors for PCC along with in-hospital complications. Differently, Black (aOR 0.43) and Hispanic patients (aOR 0.25) were less likely to receive PCC.

CONCLUSION

There was an increasing trend for in-hospital PCC referral in LVAD admissions while the overall rate remained low. These findings suggest that integrative models to involve PCC early in advanced HF patients are needed to increase its generalized utilization.

Impact of Palliative Care Services on Treatment and Resource Utilization for Hepatorenal Syndrome in the United States

Background: This study aimed to determine the rates of inpatient palliative care service use and assess the impact of palliative care service use on in-hospital treatments and resource utilization in hospital admissions for hepatorenal syndrome. Methods: Using the National Inpatient Sample, hospital admissions with a primary diagnosis of hepatorenal syndrome were identified from 2003 through 2014. The primary outcome of interest was the temporal trend and predictors of inpatient palliative care service use. Logistic and linear regression was performed to assess the impact of inpatient palliative care service on in-hospital treatments and resource use. Results: Of 5571 hospital admissions for hepatorenal syndrome, palliative care services were used in 748 (13.4%) admissions. There was an increasing trend in the rate of palliative care service use, from 3.3% in 2003 to 21.1% in 2014 (p < 0.001). Older age, more recent year of hospitalization, acute liver failure, alcoholic cirrhosis, and hepatocellular carcinoma were predictive of increased palliative care service use, whereas race other than Caucasian, African American, and Hispanic and chronic kidney disease were predictive of decreased palliative care service use. Although hospital admission with palliative care service use had higher mortality, palliative care service was associated with lower use of invasive mechanical ventilation, blood product transfusion, paracentesis, renal replacement, vasopressor but higher DNR status. Palliative care services reduced mean length of hospital stay and hospitalization cost. Conclusion: Although there was a substantial increase in the use of palliative care service in hospitalizations for hepatorenal syndrome, inpatient palliative care service was still underutilized. The use of palliative care service was associated with reduced resource use.

Early Palliative Care Is Associated With Reduced Emergency Department Utilization in Pancreatic Cancer

OBJECTIVES

Most patients with pancreatic cancer have high symptom burden and poor outcomes. Palliative care (PC) can improve the quality of care through expert symptom management, although the optimal timing of PC referral is still poorly understood. We aimed to assess the association of early PC on health care utilization and charges of care for pancreatic cancer patients.

MATERIALS AND METHODS

We selected patients with pancreatic cancer diagnosed between 2000 and 2009 who received at least 1 PC encounter using the Surveillance, Epidemiology, and End Results (SEER)-Medicare. Patients who had unknown follow-up were excluded. We defined "early PC" if the patients received PC within 30 days of diagnosis.

RESULTS

A total of 3166 patients had a PC encounter; 28% had an early PC. Patients receiving early PC were more likely to be female and have older age compared with patients receiving late PC (P<0.001). Patients receiving early PC had fewer emergency department (ED) visits (2.6 vs. 3.0 visits, P=0.004) and lower total charges of ED care ($3158 vs. $3981, P<0.001) compared with patients receiving late PC. Patients receiving early PC also had lower intensive care unit admissions (0.82 vs. 0.98 visits, P=0.006) and total charges of intensive care unit care ($14,466 vs. $18,687, P=0.01). On multivariable analysis, patients receiving early PC were significantly associated with fewer ED visits (P=0.007) and lower charges of ED care (P=0.018) for all patients.

CONCLUSIONS

Early PC referrals were associated with lower ED visits and ED-related charges. Our findings support oncology society guideline recommendations for early PC in patients with advanced malignancies such as pancreatic cancer.

Validity of Incident Opioid Use Disorder (OUD) Diagnoses in Administrative Data: a Chart Verification Study

BACKGROUND

An important strategy to address the opioid overdose epidemic involves identifying people at elevated risk of overdose, particularly those with opioid use disorder (OUD). However, it is unclear to what degree OUD diagnoses in administrative data are inaccurate.

OBJECTIVE

To estimate the prevalence of inaccurate diagnoses of OUD among patients with incident OUD diagnoses.

SUBJECTS

A random sample of 90 patients with incident OUD diagnoses associated with an index in-person encounter between October 1, 2016, and June 1, 2018, in three Veterans Health Administration medical centers.

DESIGN

Direct chart review of all encounter notes, referrals, prescriptions, and laboratory values within a 120-day window before and after the index encounter. Using all available chart data, we determined whether the diagnosis of OUD was likely accurate, likely inaccurate, or of indeterminate accuracy. We then performed a bivariate analysis to assess demographic or clinical characteristics associated with likely inaccurate diagnoses.

KEY RESULTS

We identified 1337 veterans with incident OUD diagnoses. In the chart verification subsample, we assessed 26 (29%) OUD diagnoses as likely inaccurate; 20 due to systems error and 6 due to clinical error; additionally, 8 had insufficient information to determine accuracy. Veterans with likely inaccurate diagnoses were more likely to be younger and prescribed opioids for pain. Clinical settings associated with likely inaccurate diagnoses were non-mental health clinical settings, group visits, and non-patient care settings.

CONCLUSIONS

Our study identified significant levels of likely inaccurate OUD diagnoses among veterans with incident OUD diagnoses. The majority of these cases reflected readily addressable systems errors. The smaller proportion due to clinical errors and those with insufficient documentation may be addressed by increased training for clinicians. If these inaccuracies are prevalent throughout the VHA, they could complicate health services research and health systems responses.

Variation in Pediatric Palliative Care Allocation Among Critically Ill Children in the United States

OBJECTIVES

The objectives are as follows: 1) estimate palliative care consult rates and trends among critically ill children and 2) characterize which children receive palliative care consults, including those meeting previously proposed ICU-specific palliative care screening criteria.

DESIGN

Retrospective cohort.

SETTING

Fifty-two United States children's hospitals participating in the Pediatric Health Information Systems database.

PATIENTS

Hospitalized children with nonneonatal ICU admissions from 2007 to 2018.

MEASUREMENTS AND MAIN RESULTS

The primary outcome was palliative care consultation, as identified by the palliative care International Classification of Disease code. Patient characteristics and outcomes were compared between those with and without palliative care. We used a mixed-effects multivariable model to estimate the independent association between the palliative care and patient characteristics accounting for institution and subject clustering. Hospitalizations were categorized into three mutually exclusive groups for comparative analyses: 1) meeting ICU-specific palliative care criteria, 2) presence of a complex chronic condition not in ICU-specific palliative care criteria, or 3) not meeting ICU-specific palliative care or complex chronic condition criteria. Rates and trends of palliative care consultation were estimated including variation among institutions and variation among subcategories of ICU-specific palliative care criteria. The study cohort included 740,890 subjects with 1,024,666 hospitalizations. About 1.36% of hospitalizations had a palliative care consultation. Palliative care consult was independently associated with older age, female sex, government insurance, inhospital mortality, and ICU-specific palliative care or complex chronic condition criteria. Among the hospitalizations, 30% met ICU-specific palliative care criteria, 40% complex chronic condition criteria, and 30% neither. ICU-specific palliative care patients received more mechanical ventilation and cardiopulmonary resuscitation, had longer hospital and ICU lengths of stay, and had higher inhospital mortality (p < 0.001). Palliative care utilization increased over the study period with considerable variation between the institutions especially in the ICU-specific palliative care cohort and its subgroups.

CONCLUSIONS

Palliative care consultation for critically ill children in the United States is low. Palliative care utilization is increasing but considerable variation exists across institutions, suggesting inequity in palliative care allocation among this vulnerable population. Future studies should evaluate factors influencing allocation of palliative care among critically ill children in the United States and the drivers of differences between the institutional practices.

Palliative Care Services in Patients Admitted With Cardiogenic Shock in the United States: Frequency and Predictors of 30-Day Readmission

BACKGROUND

Patients admitted with cardiogenic shock (CS) have high mortality rates, readmission rates, and healthcare costs. Palliative care services (PCS) may be underused, and the association with 30-day readmission and other predictive factors is unknown. We studied the frequency, etiologies, and predictors of 30-day readmission in CS admissions with and without PCS in the United States.

METHODS AND RESULTS

Using the 2017 Nationwide Readmissions Database, we identified admissions for (1) CS, (2) CS with PCS, and (3) CS without PCS. We compared differences in outcomes and predictors of readmission using multivariable logistic regression analysis accounting for survey design. Of 133,738 CS admissions nationally in 2017, 36.3% died inpatient. Among those who survived, 8.6% used PCS and 21% were readmitted within 30 days. Difference between CS with and without PCS groups included mortality (72.8% vs 27%), readmission rate (11.6% vs 21.9%), most frequent discharge destination (50.2% skilled nursing facilities vs 36.4% home), hospitalization cost per patient ($51,083 ± $2,629 vs $66,815 ± $1,729). The primary readmission diagnoses for both groups were heart failure (32.1% vs 24.4%). PCS use was associated with lower rates of readmission (odds ratio, 0.462; 95% confidence interval, 0.408-0.524; P < .001). Do-not-resuscitate status, private pay, self-pay, and cardiac arrest were negative predictors, and multiple comorbidities was a positive predictor of readmission.

CONCLUSIONS

The use of PCS in CS admissions remains low at 8.6% in 2017. PCS use was associated with lower 30-day readmission rates and hospitalization costs. PCS are associated with a decrease in future acute care service use for critically ill cardiac patients but underused for high-risk cardiac patients.

Decade-Long Nationwide Trends and Disparities in Use of Comfort Care Interventions for Patients With Ischemic Stroke

Background Stroke remains one of the leading causes of disability and death in the United States. We characterized 10-year nationwide trends in use of comfort care interventions (CCIs) among patients with ischemic stroke, particularly pertaining to acute thrombolytic therapy with intravenous tissue-type plasminogen activator and endovascular thrombectomy, and describe in-hospital outcomes and costs. Methods and Results We analyzed the National Inpatient Sample from 2006 to 2015 and identified adult patients with ischemic stroke with or without thrombolytic therapy and CCIs using validated International Classification of Diseases, Ninth Revision (ICD-9) codes. We report adjusted odds ratios (ORs) and 95% CI of CCI usage across five 2-year periods. Of 4 249 201 ischemic stroke encounters, 3.8% had CCI use. CCI use increased over time (adjusted OR, 4.80; 95% CI, 4.15-5.55) regardless of acute treatment type. Advanced age, female sex, White race, non-Medicare insurance, higher income, disease severity, comorbidity burden, and discharge from non-northeastern teaching hospitals were independently associated with receiving CCIs. In the fully adjusted model, thrombolytic therapy and endovascular thrombectomy, respectively, conferred a 6% and 10% greater likelihood of receiving CCIs. Among CCI users, there was a significant decline in in-hospital mortality compared with all other dispositions over time (adjusted OR, 0.46; 95% CI, 0.38-0.56). Despite longer length of stay, CCI hospitalizations incurred 16% lower adjusted costs. Conclusions CCI use among patients with ischemic stroke has increased regardless of acute treatment type. Nonetheless, considerable disparities persist. Closing the disparities gap and optimizing access, outcomes, and costs for CCIs among patients with stroke are important avenues for further research.

Palliative care and aggressive interventions after falling: A Nationwide Inpatient Sample analysis

OBJECTIVE

The purpose of this study is to identify whether there is an opportunity for improvement to provide palliative care services after a serious fall. We hypothesized that (1) palliative care services would be utilized in less than 10% of patients over the age of 65 who fall and (2) more than 20% of patients would receive aggressive life-sustaining treatments (LSTs) prior to death.

METHODS

Using the 2017 Nationwide Inpatient Sample, we identified patients who were admitted to the hospital with a fall (ICD-10 W00-W19) and were hospitalized at least two days with valid discharge data. Palliative care services (Z51.5) or LSTs (cardiopulmonary resuscitation, ventilation, reintubation, tracheostomy, feeding tube placement, vasopressors, transfusion, total parenteral nutrition, and hemodialysis) were identified with ICD-10 codes. We examined the use of palliative care or LSTs by discharge destination (home, facility, and death). Logistic regression was used to identify factors associated with palliative care.

RESULTS

In total, 155,241 patients were identified (median 82 years old, interquartile range 74-88); 2.5% died in hospital, and 69.4% were transferred to a facility. Palliative care occurred in 4.5% of patients, and LST occurred in 15.1%. Patients who died were significantly more likely to have had palliative care (50.1% vs. 3.4% of home or facility discharges) and were more likely to have an LST [53.0% vs. 9.8% (home) vs. 15.9% (facility)]. Palliative care was associated with both death [adjusted odds ratio (AOR) 19.84, 95% confidence interval (CI) 18.39-21.41, p < 0.001] and LST (AOR 1.36, 95% CI 1.27-1.46, p < 0.001).

SIGNIFICANCE OF RESULTS

Palliative care is associated with both death and LST, suggesting that physicians use palliative care as a last resort after aggressive measures have been exhausted. Patients who fall would likely benefit from the early use of palliative care to align future goals of care.

Development and Validation of an Administrative Codes Algorithm to Identify Abdominal Surgery and Bowel Obstruction in Patients With Inflammatory Bowel Disease

Background

Validated administrative codes (CPT and ICD) can permit the use of large databases to study diseases and outcomes. The aim of this study was to validate administrative codes for surgery and obstructive complications in patients with inflammatory bowel disease (IBD).

Methods

We performed a retrospective study of IBD patients within the Veterans Affairs Health Administration (VA) from 2000 to 2015 with administrative codes for bowel surgery and complications validated by chart review. Positive predictive values (PPVs) and negative predictive value (NPV) were calculated.

Results

The PPV for bowel surgery was 96.4%; PPV of obstruction codes for bowel obstruction was 80.5% (95% confidence interval: 69.1%, 89.2%).

Conclusions

CPT and ICD codes for abdominal surgery and obstructive complications can be accurately utilized in IBD patients in VA.

Validation of Administrative Codes for Palliative Care Consultation Among Critically Ill Children

OBJECTIVES

To determine the validity of palliative care (PC) administrative codes (V66.7 and Z51.5) among critically ill pediatric patients.

METHODS

In this single-center retrospective cohort study, we included all hospitalizations with a PICU admission between March 2016 and March 2018. Sensitivity, specificity, and positive and negative predictive values of the relevant codes were estimated by using a gold standard of a local PC registry.

RESULTS

During the study period, 4670 hospitalizations were included. The median admission age was 5 years (interquartile range 1.5-12.9) with 55% having at least 1 complex chronic condition. The median length of PICU stay was 1.8 days (interquartile range 1-3.4) and mortality was low (1.3%). A total 182 (3.9%) hospitalizations had evidence of a PC consultation. Administrative codes for PC had a sensitivity of 11% (95% confidence interval [CI] 6.8%-16.5%) and a specificity of 99.8% (95% CI 99.6%-99.9%). The positive and negative predictive values were 66.7% (95% CI 47.2%-82.7%) and 96.5% (95% CI 95.9%-97.0%), respectively.

CONCLUSIONS

Among critically ill children, PC administrative codes had high specificity but poor sensitivity. The potential for underascertainment of this resource should be considered in future research using administrative data.

Prevalence, trend and disparities of palliative care utilization among hospitalized metastatic breast cancer patients who received critical care therapies

BACKGROUND

Early integration of palliative care (PC) for patients with advanced cancer has been recommended to improve quality of care. This study aims to describe prevalence, temporal trend and predictors of PC use in metastatic breast cancer (mBCa) patients receiving critical care therapies (CCT; included invasive mechanic ventilation, percutaneous endoscopic gastrostomy tube, total parenteral nutrition, tracheostomy and dialysis).

METHODS

The National Inpatient Sample was queried for mBCa patients receiving CCT between 2005 and 2014. Annual percent changes (APC) were calculated for PC prevalence in the overall cohort and subgroups. Multivariable logistic analysis was used to explore predictors of PC use.

RESULTS

Of 5833 mBCa patients receiving CCT, 880 (15.09%) received PC. Rate of PC use increased significantly from 2.53% in 2005 to 25.96% in 2014 (APC: 35.75%; p < 0.0001). Higher increase in PC use was observed in South (from 0.65% to 27.11%; APC: 59.42%; p < 0.0001), medium bedsize hospitals (from 3.75% to 26.05%; APC: 38.16%; p = 0.0006) and urban teaching hospitals (from 4.13% to 29.86%; APC: 37.33%; p = 0.0005). Multivariable analysis revealed that year interval, urban teaching hospitals, and invasive mechanical ventilation were associated with increased PC use, while primary diagnosis of gastrointestinal disorders, fractures, metastatic sites from lymph nodes and tracheostomy were associated with lower PC use.

CONCLUSIONS

PC use in mBCa patients receiving CCT increases significantly over the period. However, it still remains low. Efforts to illustrate disparities in PC use are needed to improve quality of care for mBCa patients receiving CCT, especially for those hospitalized in rural and nonteaching hospitals.

Rethinking the Meaning of Palliation in Heart Failure

PURPOSE OF REVIEW

Palliative care follows a philosophy of care that focuses upon the quality of life in patients with chronic or life-threatening illness. It also focuses upon the needs of their families which is a wider scope of care. Cardiovascular disease, and specifically heart failure, affects millions of patients and family members who have a symptom burden that exceeds that of many cancers and other chronic diseases.

RECENTLY FINDINGS

Historically palliative care has been viewed as an alternative to curative therapies, but over time, it is now recognized that it should be implemented earlier in the course of chronic diseases. Although non-oncologic patients now comprise over half of the patient seen by palliative care, patients with cardiovascular disease are still not being referred to palliative care. Palliative care goes beyond advance directives and end of life planning. There is a need to continue to expand the view of palliative care to encompass interventions that help improve the overall health of these patients, including their psychosocial well-being and quality of life. The collection of papers in this journal provides insight into the breadth of palliative care for patients with heart failure and other cardiovascular diseases.