Racial variation in end-of-life intensive care use: a race or hospital effect?

Racial, Ethnic, and Socioeconomic Differences in Critical Care Near the End of Life: A Narrative Review

Patients from groups that are racially/ethnically minoritized or of low socioeconomic status receive more intensive care near the end of life, endorse preferences for more life-sustaining treatments, experience lower quality communication from clinicians, and report worse quality of dying than other patients. There are many contributory factors, including system (eg, lack of intensive outpatient symptom management resources), clinician (eg, low-quality serious illness communication), and patient (eg, cultural norms) factors. System and clinician factors contribute to disparities and ought to be remedied, while patient factors simply reflect differences in care and may not be appropriate targets for intervention.

Racial disparities in end-of-life suffering within surgical intensive care units

Background

End-of-life (EOL) care is associated with high resource utilization. Recognizing and effectively communicating that EOL is near promotes more patient-centered care, while decreasing futile interventions. We hypothesize that provider assessment of futility during the surgical intensive care unit (SICU) admission would result in higher rates of Do Not Resuscitate (DNR).

Methods

We performed a retrospective review of a prospective SICU registry of all deceased patients across a health system, 2018-2022. The registry included a subjective provider assessment of patient's expected survival. We employed multivariable logistic regression to adjust for clinical factors while assessing for association between code status at death and provider's survival assessment with attention to race-based differences.

Results

746 patients-105 (14.1%) traumatically injured and 641 (85.9%) non-traumatically injured-died over 4.5 years in the SICU (mortality rate 5.9%). 26.3% of these deaths were expected by the ICU provider. 40.9% of trauma patients were full code at the time of death, compared with 15.6% of non-traumatically injured patients. Expected death was associated with increased odds of DNR code status for non-traumatically injured patients (OR 1.8, 95% CI 1.03 to 3.18), but not for traumatically injured patients (OR 0.82, 95% CI 0.22 to 3.08). After adjusting for demographic and clinical characteristics, black patients were less likely to be DNR at the time of death (OR 0.49, 95% CI 0.32 to 0.75).

Conclusion

20% of patients who died in our SICU had not declared a DNR status, with injured black patients more likely to remain full code at the time of death. Further evaluation of this cohort to optimize recognition and communication of EOL is needed to avoid unnecessary suffering.

Level of evidence

Level III/prognostic and epidemiological.

Association between Patient Race and Ethnicity and Use of Invasive Ventilation in the United States

Rationale: Outcomes for people with respiratory failure in the United States vary by patient race and ethnicity. Invasive ventilation is an important treatment initiated based on expert opinion. It is unknown whether the use of invasive ventilation varies by patient race and ethnicity. Objectives: To measure 1) the association between patient race and ethnicity and the use of invasive ventilation; and 2) the change in 28-day mortality mediated by any association. Methods: We performed a multicenter cohort study of nonintubated adults receiving oxygen within 24 hours of intensive care admission using the Medical Information Mart for Intensive Care IV (MIMIC-IV, 2008-2019) and Phillips eICU (eICU, 2014-2015) databases from the United States. We modeled the association between patient race and ethnicity (Asian, Black, Hispanic, White) and invasive ventilation rate using a Bayesian multistate model that adjusted for baseline and time-varying covariates, calculated hazard ratios (HRs), and estimated 28-day hospital mortality changes mediated by differential invasive ventilation use. We reported posterior means and 95% credible intervals (CrIs). Results: We studied 38,258 patients, 52% (20,032) from MIMIC-IV and 48% (18,226) from eICU: 2% Asian (892), 11% Black (4,289), 5% Hispanic (1,964), and 81% White (31,113). Invasive ventilation occurred in 9.2% (3,511), and 7.5% (2,869) died. The adjusted rate of invasive ventilation was lower in Asian (HR, 0.82; CrI, 0.70-0.95), Black (HR, 0.78; CrI, 0.71-0.86), and Hispanic (HR, 0.70; CrI, 0.61-0.79) patients compared with White patients. For the average patient, lower rates of invasive ventilation did not mediate differences in 28-day mortality. For a patient on high-flow nasal cannula with inspired oxygen fraction of 1.0, the odds ratios for mortality if invasive ventilation rates were equal to the rate for White patients were 0.97 (CrI, 0.91-1.03) for Asian patients, 0.96 (CrI, 0.91-1.03) for Black patients, and 0.94 (CrI, 0.89-1.01) for Hispanic patients. Conclusions: Asian, Black, and Hispanic patients had lower rates of invasive ventilation than White patients. These decreases did not mediate harm for the average patient, but we could not rule out harm for patients with more severe hypoxemia.

Social Deprivation and End-of-Life Care Use Among Adults With Cancer

PURPOSE

Socioeconomic differences are partially responsible for racial inequities in cancer outcomes, yet the association of area-level socioeconomic disadvantage and race with end-of-life (EOL) cancer care quality is poorly understood.

METHODS

This retrospective study used electronic medical records from an academic health system to identify 33,635 adults with cancer who died between 2013 and 2019. Using multivariable logistic regression, we examined associations between decedent characteristics and EOL care, including emergency department (ED) visits, intensive care unit (ICU) stays, palliative care consultation (PCC), hospice order, and in-hospital deaths. Social deprivation index was used to measure socioeconomic disadvantages.

RESULTS

Racially minoritized decedents had higher odds of ICU stay than the least deprived White decedents (eg, other race Q3: aOR, 2.06 [99% CI, 1.26 to 0.3.39]). White and Black decedents from more deprived areas had lower odds of ED visit (White Q3: aOR, 0.382 [99% CI, 0.263 to 0.556]; Black Q3: aOR, 0.566 [99% CI, 0.373 to 0.858]) than least deprived White decedents. Compared with White decedents living in least deprived areas, racially minoritized decedents had higher odds of receiving PCC and hospice order, whereas White decedents in most deprived areas had lower odds of PCC (aOR, 0.727 [99% CI, 0.592 to 0.893]) and hospice order (aOR, 0.845 [99% CI, 0.724 to 0.986]). Greater deprivation was associated with greater odds of hospital death relative to least deprived White decedents, but only among minoritized decedents (eg, Black Q4: aOR, 2.16 [99% CI, 1.82 to 2.56]).

CONCLUSION

Area-level socioeconomic disadvantage is not uniformly associated with poorer EOL cancer care, with differences among decedents of different racial groups.

Racial differences in low value care among older adult Medicare patients in US health systems: retrospective cohort study

OBJECTIVE

To characterize racial differences in receipt of low value care (services that provide little to no benefit yet have potential for harm) among older Medicare beneficiaries overall and within health systems in the United States.

DESIGN

Retrospective cohort study SETTING: 100% Medicare fee-for-service administrative data (2016-18).

PARTICIPANTS

Black and White Medicare patients aged 65 or older as of 2016 and attributed to 595 health systems in the United States.

MAIN OUTCOME MEASURES

Receipt of 40 low value services among Black and White patients, with and without adjustment for patient age, sex, and previous healthcare use. Additional models included health system fixed effects to assess racial differences within health systems and separately, racial composition of the health system's population to assess the relative contributions of individual patient race and health system racial composition to low value care receipt.

RESULTS

The cohort included 9 833 304 patients (6.8% Black; 57.9% female). Of 40 low value services examined, Black patients had higher adjusted receipt of nine services and lower receipt of 20 services than White patients. Specifically, Black patients were more likely to receive low value acute diagnostic tests, including imaging for uncomplicated headache (6.9% v 3.2%) and head computed tomography scans for dizziness (3.1% v 1.9%). White patients had higher rates of low value screening tests and treatments, including preoperative laboratory tests (10.3% v 6.5%), prostate specific antigen tests (31.0% v 25.7%), and antibiotics for upper respiratory infections (36.6% v 32.7%; all P<0.001). Secondary analyses showed that these differences persisted within given health systems and were not explained by Black and White patients receiving care from different systems.

CONCLUSIONS

Black patients were more likely to receive low value acute diagnostic tests and White patients were more likely to receive low value screening tests and treatments. Differences were generally small and were largely due to differential care within health systems. These patterns suggest potential individual, interpersonal, and structural factors that researchers, policy makers, and health system leaders might investigate and address to improve care quality and equity.

Workforce diversity in specialist physicians: Implications of findings for religious affiliation in Anaesthesia & Intensive Care

BACKGROUND

Minority ethnic identification between physician and patient can reduce communication and access barriers, improve physician-patient relationship, trust, and health outcomes. Religion influences health beliefs, behaviours, treatment decisions, and outcomes. Ethically contentious dilemmas in treatment decisions are often entangled with religious beliefs. They feature more in medical specialties such as Anaesthesia & Intensive Care, with issues including informed consent for surgery, organ donation, transplant, transfusion, and end-of-life decisions.

METHODS

We investigate diversity in religious affiliation in the UK medical workforce, using data from the General Medical Council (GMC) specialist register and Health Education England (HEE) trainee applications to medical specialties. We performed conservative Bonferroni corrections for multiple comparisons using Chi-squared tests, as well as normalised mutual-information scores. Robust associations that persisted on all sensitivity analyses are reported, investigating whether ethnicity or foreign primary medical qualification could explain the underlying association.

FINDINGS

The only significant and robust association in both GMC and HEE datasets affecting the same religious group and specialty was disproportionately fewer Anaesthesia & Intensive Care physicians with a religious affiliation of "Muslim", both as consultants (RR 0.57[0.47,0.7]) and trainee applicants (RR 0.27[0.19,0.38]. Associations were not explained by ethnicity or foreign training. We discuss the myriad of implications of the findings for multi-cultural societies.

CONCLUSIONS

Lack of physician workforce diversity has far-reaching consequences, especially for specialties such as Anaesthesia and Intensive Care, where ethically contentious decisions could have a big impact. Religious beliefs and practices, or lack thereof, may have unmeasured influences on clinical decisions and on whether patients identify with physicians, which in turn can affect health outcomes. Examining an influencing variable such as religion in healthcare decisions should be prioritised, especially considering findings from the clinician-patient concordance literature. It is important to further explore potential historical and socio-cultural barriers to entry of training medics into under-represented specialties, such as Anaesthesia and Intensive Care.

Hospice Quality, Race, and Disenrollment in Hospice Enrollees With Dementia

Background: Racial and ethnic minoritized people with dementia (PWD) are at high risk of disenrollment from hospice, yet little is known about the relationship between hospice quality and racial disparities in disenrollment among PWD. Objective: To assess the association between race and disenrollment between and within hospice quality categories in PWD. Design/Setting/Subjects: Retrospective cohort study of 100% Medicare beneficiaries 65+ enrolled in hospice with a principal diagnosis of dementia, July 2012-December 2017. Race and ethnicity (White/Black/Hispanic/Asian and Pacific Islander [AAPI]) was assessed with the Research Triangle Institute (RTI) algorithm. Hospice quality was assessed with the publicly-available Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey item on overall hospice rating, including a category for hospices exempt from public reporting (unrated). Results: The sample included 673,102 PWD (mean age 86, 66% female, 85% White, 7.3% Black, 6.3% Hispanic, 1.6% AAPI) enrolled in 4371 hospices nationwide. Likelihood of disenrollment was higher in hospices in the lowest quartile of quality ratings (vs. highest quartile) for both White (adjusted odds ratio [AOR] 1.12 [95% confidence interval 1.06-1.19]) and minoritized PWD (AOR range 1.2-1.3) and was substantially higher in unrated hospices (AOR range 1.8-2.0). Within both low- and high-quality hospices, minoritized PWD were more likely to be disenrolled compared with White PWD (AOR range 1.18-1.45). Conclusions: Hospice quality predicts disenrollment, but does not fully explain disparities in disenrollment for minoritized PWD. Efforts to improve racial equity in hospice should focus both on increasing equity in access to high-quality hospices and improving care for racial minoritized PWD in all hospices.

The TRIBE model: How socioemotional processes fuel end-of-life treatment in the United States

Prior interventions have repeatedly failed to decrease the prescription and receipt of treatments and procedures that confer more harm than benefit at the End-of-Life (EoL); new approaches to intervention are needed. Ideally, future interventions would be informed by a social-ecological conceptual model that explains EoL healthcare utilization patterns, but current models ignore two facts: (1) healthcare is an inherently social activity, involving clinical teams and patients' social networks, and (2) emotions influence social activity. To address these omissions, we scaffolded Terror Management Theory and Socioemotional Selectivity Theory to create the Transtheoretical Model of Irrational Biomedical Exuberance (TRIBE). Based on Terror Management Theory, TRIBE suggests that the prospect of patient death motivates healthcare teams to conform to a biomedical norm of care, even when clinicians believe that biomedical interventions will likely be unhelpful. Based on Socioemotional Selectivity Theory, TRIBE suggests that the prospect of dwindling time motivates families to prioritize emotional goals, and leads patients to consent to disease-directed treatments they know will likely be unhelpful, as moral emotions motivate deference to the perceived emotional needs of their loved ones. TRIBE is unique among models of healthcare utilization in its acknowledgement that moral emotions and processes (e.g., shame, compassion, regret-avoidance) influence healthcare delivery, patients' interactions with family members, and patients' outcomes. TRIBE is especially relevant to potentially harmful EoL care in the United States, and it also offers insights into the epidemics of overtreatment in healthcare settings worldwide. By outlining the role of socioemotional processes in the care of persons with serious conditions, TRIBE underscores the critical need for psychological innovation in interventions, health policy and research on healthcare utilization.

Decision-Making Across Cultures

This chapter surveys the range of different orientations toward decision-making, common clinical scenarios, and considerations to bear in mind when caring for culturally diverse patients at the end of life. While this chapter draws on the cultural competency literature, its primary goal is to articulate an approach to end-of-life care that is rooted in cultural humility and structural competency. Medical providers, as representatives of the social institution of medicine, have their own cultural values that often come into conflict with patients' cultural values, especially when patients and providers have different unspoken visions of the "good death," or when patients wish to receive interventions that their providers deem futile. In the final section of the chapter, we seek to move away from this confrontational paradigm by analyzing two case studies of decision-making across cultures in order to empower providers to engage in value-based shared decision-making and thereby achieve goal-concordant care.

Intermediate or Intensive Care Unit Admission across Race and Ethnicity

OBJECTIVES

The aim of this study was to assess the association between race and ethnicity and admission to intermediate (IMCUs) or intensive care units (ICUs) among hospitalized patients.

METHODS

Using Florida hospital discharge data from the Agency for Healthcare Research and Quality-sponsored State Inpatient Database in 2017, we assessed the relationship between race (White, Black, Other) and Hispanic ethnicity and IMCU or ICU admission. Demographic covariates included age, sex, quartile of household income for patient ZIP code, insurance status, and patient residence. An adjusted model assessed the association between race and ethnicity and IMCU or ICU admission using log binomial regression with generalized estimating equations after controlling for demographic characteristics and the Elixhauser Comorbidity Index.

RESULTS

After controlling for demographics and comorbidities, the prevalence of IMCU or ICU admission was higher among non-Hispanic Blacks (adjusted prevalence ratio [aPR] 1.04; 95% confidence interval [CI] 1.02-1.05) and non-Hispanic patients of other races (aPR 1.03; 95% CI 1.01-1.04) compared with non-Hispanic Whites. The prevalence of IMCU or ICU use was lower among Hispanic Whites (aPR 0.98; 95% CI 0.86-1.00) and Hispanics of other races (aPR 0.96; 95% CI 0.95-0.98) compared with non-Hispanic Whites after controlling for other demographic characteristics and comorbidities.

CONCLUSIONS

Among hospitalized patients, racial minorities are slightly more likely to use higher levels of care, whereas Hispanic patients are generally slightly less likely than non-Hispanic White patients to use higher levels of care. Further evaluation is needed to identify reasons for disparate IMCU or ICU admission.

Epidemiology of age-, sex-, and race-specific hospitalizations for abdominal aortic aneurysms highlights gaps in current screening recommendations

BACKGROUND

The detection and elective repair of abdominal aortic aneurysms (AAA) guided by known risk-factor specific screening decrease AAA-related mortality. However, minimal epidemiologic data exist for AAA in female persons and racial minority groups. We established the contemporary risk of US AAA hospitalization across age, sex, and race.

METHODS

National Inpatient Sample and US Census (2012-2018) data were used to quantify age-, sex-, and race-specific incidences and adjusted odds ratios (aOR) of AAA hospitalizations (≥18 years), associated risk factors, and in-hospital mortality. Interaction terms evaluated subgroups.

RESULTS

Among 1,728,374,183 US residents during the study period (51.3% female; 78.4% White, 12.7% Black, 5.7% Asian), 211,501,703 were hospitalized (aged 57.56 ± 0.04 years; 58.4% female; 64.9% White, 14.3% Black, 2.5% Asian) of which 291,850 were for AAA (aged 73.17 ± 0.04 years; 22.6% female; 81.8% White, 5.6% Black, 1.6% Asian). An estimated 15.2 (95% CI, 15.1-15.3) and 1.7 (95% CI, 1.7-1.7) hospitalizations per 100,000 residents were for intact AAA (iAAA) and ruptured AAA (rAAA) AAA, respectively. In addition, 16.2% of iAAA (83.8% male; 79.1% White) and 18.4% of rAAA (86.4% male; 75.0% White) hospitalizations occurred in patients less than 65 years of age. For iAAA, female sex (aOR, 0.27; 95% CI, 0.27-0.28) compared with male sex and both Black (0.47; 95% CI, 0.45-0.49) and Asian (0.86; 95% CI, 0.83-0.93) persons compared with White persons had a reduced aOR for hospitalization. For rAAA, the reduced aOR persisted for female sex (0.33; 95% CI, 0.32-0.36) and for Black persons (0.52; 95% CI, 0.46-0.58). Although female sex demonstrated an overall decreased odds of AAA hospitalization, female persons who were older, Black, or had peripheral vascular disease (Pinteractions < .001) had a relative increase in AAA hospitalization aOR. Female sex (aOR, 1.54; 95% CI, 1.38-1.70), but not Black or Asian race, was associated with increased mortality which was more pronounced for iAAA (1.93; 95% CI, 1.66-2.25) than rAAA (1.29; 95% CI, 1.13-1.48]; Pinteraction < .001).

CONCLUSIONS

We confirmed a substantially decreased adjusted risk of AAA hospitalization for females and racial minority groups; however, aging and comorbid peripheral vascular disease decreased these differences. The disparate risk of AAA hospitalization by sex and race highlights the importance of inclusivity in future AAA studies.

Advance Care Planning and Treatment Intensity Before Death Among Black, Hispanic, and White Patients Hospitalized with COVID-19

BACKGROUND

Black and Hispanic people are more likely to contract COVID-19, require hospitalization, and die than White people due to differences in exposures, comorbidity risk, and healthcare access.

OBJECTIVE

To examine the association of race and ethnicity with treatment decisions and intensity for patients hospitalized for COVID-19.

DESIGN

Retrospective cohort analysis of manually abstracted electronic medical records.

PATIENTS

7,997 patients (62% non-Hispanic White, 16% non-Black Hispanic, and 23% Black) hospitalized for COVID-19 at 135 community hospitals between March and June 2020 MAIN MEASURES: Advance care planning (ACP), do not resuscitate (DNR) orders, intensive care unit (ICU) admission, mechanical ventilation (MV), and in-hospital mortality. Among decedents, we classified the mode of death based on treatment intensity and code status as treatment limitation (no MV/DNR), treatment withdrawal (MV/DNR), maximal life support (MV/no DNR), or other (no MV/no DNR).

KEY RESULTS

Adjusted in-hospital mortality was similar between White (8%) and Black patients (9%, OR=1.1, 95% CI=0.9-1.4, p=0.254), and lower among Hispanic patients (6%, OR=0.7, 95% CI=0.6-1.0, p=0.032). Black and Hispanic patients were significantly more likely to be treated in the ICU (White 23%, Hispanic 27%, Black 28%) and to receive mechanical ventilation (White 12%, Hispanic 17%, Black 16%). The groups had similar rates of ACP (White 12%, Hispanic 12%, Black 11%), but Black and Hispanic patients were less likely to have a DNR order (White 13%, Hispanic 8%, Black 7%). Among decedents, there were significant differences in mode of death by race/ethnicity (treatment limitation: White 39%, Hispanic 17% (p=0.001), Black 18% (p<0.0001); treatment withdrawal: White 26%, Hispanic 43% (p=0.002), Black 28% (p=0.542); and maximal life support: White 21%, Hispanic 26% (p=0.308), Black 36% (p<0.0001)).

CONCLUSIONS

Hospitalized Black and Hispanic COVID-19 patients received greater treatment intensity than White patients. This may have simultaneously mitigated disparities in in-hospital mortality while increasing burdensome treatment near death.

Asian American Medicare Beneficiaries Disproportionately Receive Invasive Mechanical Ventilation When Hospitalized at the End-of-Life

BACKGROUND

Asian Americans are the fastest-growing ethnic minority in the USA, but we know little about the end-of-life care for this population.

OBJECTIVE

Compare invasive mechanical ventilation (IMV) use between older Asian and White decedents with hospitalization in the last 30 days of life.

DESIGN

Population-based retrospective cohort study.

PARTICIPANTS

A 20% random sample of 2000-2017 Medicare fee-for-service decedents who were 66 years or older and had a hospitalization in the last 30 days of life.

EXPOSURE

White and Asian ethnicity as collected by the Social Security Administration.

MAIN MEASURES

We identified IMV using validated procedural codes. We compared IMV use between Asian and White fee-for-service decedents using random-effects logistic regression analysis, adjusting for sociodemographics, admitting diagnosis, comorbidities, and secular trends.

KEY RESULTS

From 2000 to 2017, we identified 2.1 million White (54.5% female, 82.4±8.1 mean age) and 28,328 Asian (50.8% female, 82.6±8.1 mean age) Medicare fee-for-service decedents hospitalized in the last 30 days. Compared to White decedents, Asian fee-for-service decedents have an increased adjusted odds ratio (AOR) of 1.42 (95%CI: 1.38-1.47) for IMV. In sub-analyses, Asians' AOR for IMV differed by admitting diagnoses (cancer AOR=1.32, 95%CI: 1.15-1.51; congestive heart failure AOR=1.75, 95%CI: 1.47-2.08; dementia AOR=1.93, 95%CI: 1.70-2.20; and chronic obstructive pulmonary disease AOR=2.25, 95%CI: 1.76-2.89).

CONCLUSIONS

Compared to White decedents, Asian Medicare decedents are more likely to receive IMV when hospitalized at the end-of-life, especially among patients with non-cancer admitting diagnoses. Future research to better understand the reasons for these differences and perceived quality of end-of-life care among Asian Americans is urgently needed.

Racial/Ethnic Differences in Pediatric Emergency Department Wait Times

OBJECTIVES

Wait time for emergency care is a quality measure that affects clinical outcomes and patient satisfaction. It is unknown if there is racial/ethnic variability in this quality measure in pediatric emergency departments (PEDs). We aim to determine whether racial/ethnic differences exist in wait times for children presenting to PEDs and examine between-site and within-site differences.

METHODS

We conducted a retrospective cohort study for PED encounters in 2016 using the Pediatric Emergency Care Applied Research Network Registry, an aggregated deidentified electronic health registry comprising 7 PEDs. Patient encounters were included among all patients 18 years or younger at the time of the ED visit. We evaluated differences in emergency department wait time (time from arrival to first medical evaluation) considering patient race/ethnicity as the exposure.

RESULTS

Of 448,563 visits, median wait time was 35 minutes (interquartile range, 17-71 minutes). Compared with non-Hispanic White (NHW) children, non-Hispanic Black (NHB), Hispanic, and other race children waited 27%, 33%, and 12% longer, respectively. These differences were attenuated after adjusting for triage acuity level, mode of arrival, sex, age, insurance, time of day, and month [adjusted median wait time ratios (95% confidence intervals): 1.11 (1.10-1.12) for NHB, 1.12 (1.11-1.13) for Hispanic, and 1.05 (1.03-1.06) for other race children compared with NHW children]. Differences in wait time for NHB and other race children were no longer significant after adjusting for clinical site. Fully adjusted median wait times among Hispanic children were longer compared with NHW children [1.04 (1.03-1.05)].

CONCLUSIONS

In unadjusted analyses, non-White children experienced longer PED wait times than NHW children. After adjusting for illness severity, patient demographics, and overcrowding measures, wait times for NHB and other race children were largely determined by site of care. Hispanic children experienced longer within-site and between-site wait times compared with NHW children. Additional research is needed to understand structures and processes of care contributing to wait time differences between sites that disproportionately impact non-White patients.

Evaluating the Contribution of Patient-Provider Communication and Cancer Diagnosis to Racial Disparities in End-of-Life Care Among Medicare Beneficiaries

BACKGROUND

The quality of end-of-life (EOL) care in the USA remains suboptimal, with significant variations in care by race and across disease subgroups. Patient-provider communication may contribute to racial and disease-specific variations in EOL care outcomes.

OBJECTIVE

We examined racial disparities in EOL care, by disease group (cancer vs. non-cancer), and assessed whether racial differences in patient-provider communication accounted for observed disparities.

DESIGN

Retrospective cohort study using the 2001-2015 Surveillance, Epidemiology, and End Results - Consumer Assessment of Healthcare Providers and Systems data linked with Medicare claims (SEER-CAHPS). We employed stratified propensity score matching and modified Poisson regression analyses, adjusting for clinical and demographic characteristics PARTICIPANTS: Black and White Medicare beneficiaries 65 years or older with cancer (N=2000) or without cancer (N=11,524).

MAIN MEASURES

End-of-life care measures included hospice use, inpatient hospitalizations, intensive care unit (ICU) stays, and emergency department (ED) visits, during the 90 days prior to death.

KEY RESULTS

When considering all conditions together (cancer + non-cancer), Black beneficiaries were 26% less likely than their Whites counterparts to enroll in hospice (adjusted risk ratio [ARR]: 0.74, 95%CI: 0.66-0.83). Among beneficiaries without cancer, Black beneficiaries had a 32% lower likelihood of enrolling in hospice (ARR: 0.68, 95%CI: 0.59-0.79). There was no racial difference in hospice enrollment among cancer patients. Black beneficiaries were also at increased risk for ED use (ARR: 1.12, 95%CI: 1.01-1.26). Patient-provider communication did not explain racial disparities in hospice or ED use. There were no racial differences in hospitalizations or ICU admissions.

CONCLUSION

We observed racial disparities in hospice use and ED visits in the 90 days prior to death among Medicare beneficiaries; however, hospice disparities were largely driven by patients without cancer. Condition-specific differences in palliative care integration at the end-of-life may partly account for variations in EOL care disparities across disease groups.

Patient Characteristics Associated With Admission to Low-Safety Inpatient Psychiatric Facilities: Evidence for Racial Inequities

OBJECTIVE

The author examined patient demographic, clinical, payment, and geographic factors associated with admission to low-safety inpatient psychiatric facilities.

METHODS

Massachusetts all-payer 2017 discharge data (N=39,128 psychiatric patients) were linked to facility-level indicators of safety (N=38 facilities). A composite of safety was created by averaging standardized measures of restraint and seclusion as well as 5-year averages of overall, substantiated, and abuse-related (i.e., verbal, physical, or sexual) complaints per 1,000 discharges (α=0.73). This composite informed quintile groups of safety performance. A series of multinomial regression models were fit, with payment and geography added separately.

RESULTS

Notable factors independently associated with admission to low-safety facilities were belonging to a racial or ethnic minority group compared with being a White patient (for non-Hispanic Black, relative risk ratio [RRR]=1.71, p<0.01; for non-Hispanic Asian, RRR=5.60, p<0.01; for non-Hispanic "other" race, RRR=2.17, p<0.01; and for Hispanic-Latinx, RRR=1.29, p<0.01) and not having private insurance (for self-pay or uninsured, RRR=2.40, p<0.01; for Medicaid, RRR=1.80, p<0.01; and for Medicare, RRR=1.31, p<0.01).

CONCLUSIONS

To the best of the author's knowledge, this is the first study to examine differences in admission to low-safety inpatient psychiatric facilities. Even after accounting for potential clinical, geographic, and insurance mediators of structural racism, stark racial and ethnic inequities were found in admission to low-safety inpatient psychiatric facilities. In addition to addressing safety performance, policy makers should invest in gaining a better understanding of how differences in community-based referrals, mode of transport (e.g., police or self), and deliberate or unintentional steering and selection affect admissions and outcomes.

Equitably Allocating Resources during Crises: Racial Differences in Mortality Prediction Models

Rationale: Crisis standards of care (CSCs) guide critical care resource allocation during crises. Most recommend ranking patients on the basis of their expected in-hospital mortality using the Sequential Organ Failure Assessment (SOFA) score, but it is unknown how SOFA or other acuity scores perform among patients of different races. Objectives: To test the prognostic accuracy of the SOFA score and version 2 of the Laboratory-based Acute Physiology Score (LAPS2) among Black and white patients. Methods: We included Black and white patients admitted for sepsis or acute respiratory failure at 27 hospitals. We calculated the discrimination and calibration for in-hospital mortality of SOFA, LAPS2, and modified versions of each, including categorical SOFA groups recommended in a popular CSC and a SOFA score without creatinine to reduce the influence of race. Measurements and Main Results: Of 113,158 patients, 27,644 (24.4%) identified as Black. The LAPS2 demonstrated higher discrimination (area under the receiver operating characteristic curve [AUC], 0.76; 95% confidence interval [CI], 0.76-0.77) than the SOFA score (AUC, 0.68; 95% CI, 0.68-0.69). The LAPS2 was also better calibrated than the SOFA score, but both underestimated in-hospital mortality for white patients and overestimated in-hospital mortality for Black patients. Thus, in a simulation using observed mortality, 81.6% of Black patients were included in lower-priority CSC categories, and 9.4% of all Black patients were erroneously excluded from receiving the highest prioritization. The SOFA score without creatinine reduced racial miscalibration. Conclusions: Using SOFA in CSCs may lead to racial disparities in resource allocation. More equitable mortality prediction scores are needed.

Improving racial disparities in unmet palliative care needs among intensive care unit family members with a needs-targeted app intervention: The ICUconnect randomized clinical trial

INTRODUCTION

The technologies used to treat the millions who receive care in intensive care unit (ICUs) each year have steadily advanced. However, the quality of ICU-based communication has remained suboptimal, particularly concerning for Black patients and their family members. Therefore we developed a mobile app intervention for ICU clinicians and family members called ICUconnect that assists with delivering need-based care.

OBJECTIVE

To describe the methods and early experiences of a clustered randomized clinical trial (RCT) being conducted to compare ICUconnect vs. usual care.

METHODS AND ANALYSIS

The goal of this two-arm, parallel group clustered RCT is to determine the clinical impact of the ICUconnect intervention in improving outcomes overall and for each racial subgroup on reducing racial disparities in core palliative care outcomes over a 3-month follow up period. ICU attending physicians are randomized to either ICUconnect or usual care, with outcomes obtained from family members of ICU patients. The primary outcome is change in unmet palliative care needs measured by the NEST instrument between baseline and 3 days post-randomization. Secondary outcomes include goal concordance of care and interpersonal processes of care at 3 days post-randomization; length of stay; as well as symptoms of depression, anxiety, and post-traumatic stress disorder at 3 months post-randomization. We will use hierarchical linear models to compare outcomes between the ICUconnect and usual care arms within all participants and assess for differential intervention effects in Blacks and Whites by adding a patient-race interaction term. We hypothesize that both compared to usual care as well as among Blacks compared to Whites, ICUconnect will reduce unmet palliative care needs, psychological distress and healthcare resource utilization while improving goal concordance and interpersonal processes of care. In this manuscript, we also describe steps taken to adapt the ICUconnect intervention to the COVID-19 pandemic healthcare setting.

ENROLLMENT STATUS

A total of 36 (90%) of 40 ICU physicians have been randomized and 83 (52%) of 160 patient-family dyads have been enrolled to date. Enrollment will continue until the end of 2021.

Trends and racial disparities in aggressive end-of-life care for a national sample of women with ovarian cancer

BACKGROUND

The clinical landscape has moved toward less aggressive end-of-life care for women with ovarian cancer. However, whether there has been a decline in the use of aggressive end-of-life services is unknown. The authors evaluated current national trends and racial disparities in end-of-life care among women with ovarian cancer using the Surveillance, Epidemiology, and End Results-Medicare-linked data set.

METHODS

In total, 7756 Medicare beneficiaries aged >66 years with ovarian cancer who died between 2007 and 2016 were identified. The authors examined trends and racial disparities in late hospice or no hospice use, >1 emergency department (ED) visit, intensive care unit admission, >1 hospitalization, terminal hospitalization, chemotherapy, and invasive and/or life-extending procedures using multivariable logistic regression.

RESULTS

The median hospice length of stay did not change over time; however, women were increasingly admitted to the intensive care unit and had multiple ED visits in the last month of life (P < .001). Not enrolling in hospice at the end of life and terminal hospitalizations decreased over time (P < .001). Non-White women were more likely to receive aggressive end-of-life care, particularly for hospital-related utilization and life-extending procedures, whereas non-Hispanic Black women were more likely to have >1 ED visit (odds ratio, 2.04; 95% CI, 1.57-2.64) or life-extending procedures (odds ratio, 1.89; 95% CI, 1.45-2.48) compared with non-Hispanic White women.

CONCLUSIONS

Despite clinical guidelines and increasing emphasis on reducing aggressive end-of-life care, the use of aggressive end-of-life care for women with ovarian cancer persists, and care is most aggressive for non-White women.

Assessment of Racial Disparities in Primary Care Physician Specialty Referrals

IMPORTANCE

Disparities in quality of care according to patient race and socioeconomic status persist in the US. Differential referral patterns to specialist physicians might be associated with observed disparities.

OBJECTIVE

To examine whether differences exist between Black and White Medicare beneficiaries in the observed patterns of patient sharing between primary care physicians (PCPs) and physicians in the 6 specialties to which patients were most frequently referred.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional observational study of Black and White Medicare beneficiaries used claims data from 2009 to 2010 on 100% of traditional Medicare beneficiaries who were seen by PCPs and selected high-volume specialists in 12 health care markets with at least 10% of the population being Black. Statistical analyses were conducted from December 20, 2017, to September 30, 2020.

EXPOSURES

Differences in patterns of patient sharing among Black and White patients.

MAIN OUTCOMES AND MEASURES

Primary care physician and specialist degree (the number of other PCPs or specialists to whom each physician is connected) and strength (the number of shared patients per connection, overall, for Black patients and White patients and after equalizing the numbers of Black and White patients per PCP), as well as distance between PCP and patient and specialist zip code centroids.

RESULTS

The 12 selected markets ranged in size from Manhattan, New York (187 054 Black or White beneficiaries seen by at least 2 physicians within an episode of care; 9794 total physicians), to Tallahassee, Florida (44 644 Black or White beneficiaries seen by at least 2 physicians within an episode of care; 847 total physicians). The percentage of Black beneficiaries ranged from 11.5% (Huntsville, Alabama) to 46.8% (Chicago, Illinois). The mean PCP-specialist degree (number of specialists with whom a PCP shares patients) was lower for Black patients than for White patients. For instance, the mean PCP-cardiologist degree across all markets for White patients was 17.5 compared with 8.8 for Black patients. After sampling White patients to equalize the numbers of patients seen, the degree differences narrowed but were still not equivalent in many markets (eg, for all specialties in Baton Rouge, Louisiana: 4.5 for Black patients vs 5.7 for White patients). Specialist networks among White patients were much larger than those constructed based just on Black patients (eg, for cardiology across all markets: 135 for Black patients vs 330 for White patients), even after equalizing the numbers of patients seen per PCP (123 for Black patients vs 211 for White patients). The overall test for differences in referral patterns was statistically significant for all 6 specialties examined in 7 of the 12 markets and in 5 specialties for another 3.

CONCLUSIONS AND RELEVANCE

This study suggests that differences exist in specialist referral patterns by race among Medicare beneficiaries. This is an observational study, and thus some differences might have resulted from patient-initiated visits to specialists.

The Black and White of Invasive Mechanical Ventilation in Advanced Dementia

BACKGROUND/OBJECTIVES

Over the past decade, feeding tube use in nursing home residents with advanced dementia has declined by 50% among white and black patients. Little is known about whether a similar reduction has occurred in other invasive interventions, such as mechanical ventilation.

DESIGN

Retrospective cohort study.

SETTING

Acute-care hospitals in the United States.

PARTICIPANTS

Medicare beneficiaries with advanced dementia who previously resided in a nursing home and were hospitalized between 2001 and 2014 with pneumonia and/or septicemia and of either black or white race.

MEASUREMENT

Invasive mechanical ventilation (IMV), as identified by International Classification of Diseases (ICD) procedure codes. Two multivariable logistic regression models examined the association between race and the likelihood of receiving IMV, adjusting for patients' demographics, physical function, and comorbidities. A hospital fixed-effects model examined the association of race within a hospital, whereas a random-effects logistic model was used to estimate the between-hospital variation in the probability of receiving IMV and examine the overall association of race and use of IMV.

RESULTS

Between 2001 and 2014, 289,017 patients with advanced dementia were hospitalized for pneumonia or septicemia. Use of IMV increased from 3.7% to 12.1% in white patients and from 8.6% to 21.8% in blacks. Among those ventilated, 1-year mortality rates remained high, at 82.7% for whites and 84.2% for blacks dying in 2013. Compared with whites, blacks had a higher odds of receiving IMV in the fixed-effects (within-hospital) model (adjusted odds ratio (AOR) = 1.34; 95% confidence interval (CI) = 1.29-1.39) and in the random-effects (between-hospital) model (AOR = 1.46; 95% CI = 1.40-1.51).

CONCLUSION

IMV use in patients with advanced dementia has increased substantially, with black patients having a larger increase than whites, based, in part, on the hospitals where black patients receive care.

Role of norms in variation in cancer centers' end-of-life quality: qualitative case study protocol

Background

A critical barrier to improving the quality of end-of-life (EOL) cancer care is our lack of understanding of the mechanisms underlying variation in EOL treatment intensity. This study aims to fill this gap by identifying 1) organizational and provider practice norms at major US cancer centers, and 2) how these norms influence provider decision making heuristics and patient expectations for EOL care, particularly for minority patients with advanced cancer.

Methods

This is a multi-center, qualitative case study at six National Comprehensive Cancer Network (NCCN) and National Cancer Institute (NCI) Comprehensive Cancer Centers. We will theoretically sample centers based upon National Quality Forum (NQF) endorsed EOL quality metrics and demographics to ensure heterogeneity in EOL intensity and region. A multidisciplinary team of clinician and non-clinician researchers will conduct direct observations, semi-structured interviews, and artifact collection. Participants will include: 1) cancer center and clinical service line administrators; 2) providers from medical, surgical, and radiation oncology; palliative or supportive care; intensive care; hospital medicine; and emergency medicine who see patients with cancer and have high clinical practice volume or high local influence (provider interviews and observations); and 3) adult patients with metastatic solid tumors and whom the provider would not be surprised if they died in the next 12 months and their caregivers (patient and caregiver interviews). Leadership interviews will probe about EOL institutional norms and organization. We will observe inpatient and outpatient care for two weeks. Provider interviews will use vignettes to probe explicit and implicit motivations for treatment choices. Semi-structured interviews with patients near EOL, or their family members and caregivers will explore past, current, and future decisions related to their cancer care. We will import transcribed field notes and interviews into Dedoose software for qualitative data management and analysis, and we will develop and apply a deductive and inductive codebook to the data.

Discussion

This study aims to improve our understanding of organizational and provider practice norms pertinent to EOL care in U.S. cancer centers. This research will ultimately be used to inform a provider-oriented intervention to improve EOL care for racial and ethnic minority patients with advanced cancer.

Trial registration

Clinicaltrials.gov; NCT03780816; December 19, 2018.

Evaluation of Racial Disparities in Hospice Use and End-of-Life Treatment Intensity in the REGARDS Cohort

Importance

Although hospice use is increasing and patients in the US are increasingly dying at home, racial disparities in treatment intensity at the end of life, including hospice use, remain.

Objective

To examine differences between Black and White patients in end-of-life care in a population sample with well-characterized causes of death.

Design, Setting, and Participants

This study used data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, an ongoing population-based cohort study with enrollment between January 25, 2003, and October 3, 2007, with linkage to Medicare claims data. Multivariable logistic regression models were used to examine racial and regional differences in end-of-life outcomes and in stroke mortality among 1212 participants with fee-for-service Medicare who died between January 1, 2013, and December 31, 2015, owing to natural causes and excluding sudden death, with oversampling of Black individuals and residents of Southeastern states in the United States. Initial analyses were conducted in March 2019, and final primary analyses were conducted in February 2020.

Main Outcomes and Measures

The primary outcomes of interest were hospice use of 3 or more days in the last 6 months of life derived from Medicare claims files. Other outcomes included multiple hospitalizations, emergency department visits, and use of intensive procedures in the last 6 months of life. Cause of death was adjudicated by an expert panel of clinicians using death certificates, proxy interviews, autopsy reports, and medical records.

Results

The sample consisted of 1212 participants (630 men [52.0%]; 378 Black individuals [31.2%]; mean [SD] age at death, 81.0 [8.6] years) of 2542 total deaths. Black decedents were less likely than White decedents to use hospice for 3 or more days (132 of 378 [34.9%] vs 385 of 834 [46.2%]; P < .001). After stratification by cause of death, substantial racial differences in treatment intensity and service use were found among persons who died of cardiovascular disease but not among patients who died of cancer. In analyses adjusted for cause of death (dementia, cancer, cardiovascular disease, and other) and clinical and demographic variables, Black decedents were significantly less likely to use 3 or more days of hospice (odds ratio [OR], 0.72; 95% CI, 0.54-0.96) and were more likely to have multiple emergency department visits (OR, 1.35; 95% CI, 1.01-1.80) and hospitalizations (OR, 1.39; 95% CI, 1.02-1.89) and undergo intensive treatment (OR, 1.94; 95% CI, 1.40-2.70) in the last 6 months of life compared with White decedents.

Conclusions and Relevance

Despite the increase in the use of hospice care in recent decades, racial disparities in the use of hospice remain, especially for noncancer deaths. More research is required to better understand racial disparities in access to and quality of end-of-life care.

U.K. Intensivists' Preferences for Patient Admission to ICU: Evidence From a Choice Experiment

Supplemental Digital Content is available in the text.

Deciding whether to admit a patient to the ICU requires considering several clinical and nonclinical factors. Studies have investigated factors associated with the decision but have not explored the relative importance of different factors, nor the interaction between factors on decision-making. We examined how ICU consultants prioritize specific factors when deciding whether to admit a patient to ICU.

Conceptualizing and Counting Discretionary Utilization in the Final 100 Days of Life: A Scoping Review

CONTEXT

There has been surprisingly little attention to conceptual and methodological issues that influence the measurement of discretionary utilization at the end of life (DIAL), an indicator of quality care.

OBJECTIVE

The objectives of this study were to examine how DIALs have been operationally defined and identify areas where evidence is biased or inadequate to inform practice.

METHODS

We conducted a scoping review of the English language literature published from 1/1/04 to 6/30/17. Articles were eligible if they reported data on ≥2 DIALs within 100 days of the deaths of adults aged ≥18 years. We explored the influence of research design on how researchers measure DIALs and whether they examine demographic correlates of DIALs. Other potential biases and influences were explored.

RESULTS

We extracted data from 254 articles published in 79 journals covering research conducted in 29 countries, mostly focused on cancer care (69.1%). More than 100 DIALs have been examined. Relatively crude, simple variables (e.g., intensive care unit admissions [56.9% of studies], chemotherapy [50.8%], palliative care [40.0%]) have been studied more frequently than complex variables (e.g., burdensome transitions; 7.3%). We found considerable variation in the assessment of DIALs, illustrating the role of research design, professional norms and disciplinary habit. Variables are typically chosen with little input from the public (including patients or caregivers) and clinicians. Fewer than half of the studies examined age (44.6%), gender (37.3%), race (26.5%), or socioeconomic (18.5%) correlates of DIALs.

CONCLUSION

Unwarranted variation in DIAL assessments raises difficult questions concerning how DIALs are defined, by whom, and why. We recommend several strategies for improving DIAL assessments. Improved metrics could be used by the public, patients, caregivers, clinicians, researchers, hospitals, health systems, payers, governments, and others to evaluate and improve end-of-life care.

The Epidemiology of Depressive Symptoms in the Last Year of Life

BACKGROUND/OBJECTIVE

Depression impacts quality of life at all life stages, but the epidemiology of depression in the last year of life is unknown. This study's objectives were to document the epidemiology of depressive symptoms in the year prior to death and to assess how the trajectory of depressive symptoms varies by sociodemographic and clinical factors.

DESIGN

Observational, cross-sectional, cohort study using the Health and Retirement Study.

SETTING

Population-based survey.

PARTICIPANTS

A total of 3274 individuals who died within 12 months after assessment.

MEASURES

Primary outcome: eight-item Center for Epidemiologic Studies Depression Scale (CESD-8). Covariates included sociodemographics, self-reported illnesses, and activity of daily living (ADL) limitations.

RESULTS

Average CESD-8 score increased over the last year of life, with 59.3% screening positive for depression in the last month before death. Depression symptoms increased gradually from 12 to 4 months before death (increase of 0.05 points/month; 95% confidence interval [CI] = 0.01-0.08 points/month) and then escalated from 4 to 1 months before death (increase of 0.29 points/month; 95% CI = 0.16-0.39 points/month). Women, younger adults, and nonwhite adults all demonstrated higher rates of depressive symptoms. Individuals with cancer reported escalating rates of depressive symptoms at the end of life, while individuals with lung disease and ADL impairment demonstrated persistently high rates throughout the year before death.

CONCLUSIONS

This study revealed high rates of depressive symptoms in the last year of life as well as differences in the burden of depressive symptoms. A public health approach must be taken to screen for and appropriately treat symptoms of depression across the lifespan. J Am Geriatr Soc 68:321-328, 2020.

End-of-life quality metrics among medicare decedents at minority-serving cancer centers: A retrospective study

Background

We calculated the performance of National Cancer Institute (NCI)/National Comprehensive Cancer Network (NCCN) cancer centers’ end‐of‐life (EOL) quality metrics among minority and white decedents to explore center‐attributable sources of EOL disparities.

Methods

We conducted a retrospective cohort study of Medicare beneficiaries with poor‐prognosis cancers who died between April 1, 2016 and December 31, 2016 and had any inpatient services in the last 6 months of life. We attributed patients’ EOL treatment to the center at which they received the preponderance of EOL inpatient services and calculated eight risk‐adjusted metrics of EOL quality (hospice admission ≤3 days before death; chemotherapy last 14 days of life; ≥2 emergency department (ED) visits; intensive care unit (ICU) admission; or life‐sustaining treatment last 30 days; hospice referral; palliative care; advance care planning last 6 months). We compared performance between patients across and within centers.

Results

Among 126,434 patients, 10,119 received treatment at one of 54 NCI/NCCN centers. In aggregate, performance was worse among minorities for ED visits (10.3% vs 7.4%, P < .01), ICU admissions (32.9% vs 30.4%, P = .03), no hospice referral (39.5% vs 37.0%, P = .03), and life‐sustaining treatment (19.4% vs 16.2%, P < .01). Despite high within‐center correlation for minority and white metrics (0.61‐0.79; P < .01), five metrics demonstrated worse performance as the concentration of minorities increased: ED visits (P = .03), ICU admission (P < .01), no hospice referral (P < .01), and life‐sustaining treatments (P < .01).

Conclusion

EOL quality metrics vary across NCI/NCCN centers. Within center, care was similar for minority and white patients. Minority‐serving centers had worse performance on many metrics.

Racial Differences in the Utilization of Guideline-Recommended and Life-Sustaining Procedures During Hospitalizations for Out-of-Hospital Cardiac Arrest

BACKGROUND

Racial and ethnic minorities are at risk for disparities in quality of care after out-of-hospital cardiopulmonary arrest (OHCA). As such, we examined associations between race and ethnicity and use of guideline-recommended and life-sustaining procedures during hospitalizations for OHCA.

METHODS

This was a retrospective study of hospitalizations for OHCA in all acute-care, non-federal California hospitals from 2009 to 2011. Associations between the use of (1) guideline-recommended procedures (cardiac catheterization for ventricular fibrillation/tachycardia, therapeutic hypothermia), (2) life-sustaining procedures (percutaneous endoscopic gastrostomy (PEG)/tracheostomy, renal replacement therapy (RRT)), and (3) palliative care and race/ethnicity were examined using hierarchical logistic regression analysis.

RESULTS

Among 51,198 hospitalizations for OHCA, unadjusted rates of cardiac catheterization were 34.9% in Whites, 19.8% in Blacks, 27.2% in Hispanics, and 30.9% in Asians (P < 0.01). Rates of therapeutic hypothermia were 2.3% in Whites, 1.1% in Blacks, 1.3% in Hispanics, and 1.9% in Asians (P < 0.01). Rates of PEG/tracheostomy and RRT were 2.2% and 9.8% in Whites, 5.7% and 19.9% in Blacks, 4.2% and 19.9% in Hispanics, and 3.4% and 18.2% in Asians, respectively (P < 0.01). Rates of palliative care were 14.8% in Whites, 9.6% in Blacks, 10.1% in Hispanics, and 14.3% in Asians (P < 0.01). Differences in utilization of procedures persisted after adjustment for patient and hospital-related factors.

CONCLUSION

Racial and ethnic minorities are less likely to receive guideline-recommended interventions and palliative care, and more likely to receive life-sustaining treatments following OHCA. These findings suggest that significant disparities exist in medical care after OHCA.

What do family caregivers know about palliative care? Results from a national survey

OBJECTIVE

Despite their key role in caring for individuals with serious, chronic illness, there have been no national studies examining family caregiver awareness and perceptions of palliative care. Hence, our objectives were to ascertain level of knowledge of palliative care among U.S. family caregivers and describe demographic variation in awareness and perceptions of palliative care.

METHOD

Using the 2018 National Cancer Institute Health Information National Trends Survey, we identified unpaid family caregivers caring or making healthcare decisions for someone with a medical, behavioral, disability, or other condition. Respondents were asked about their awareness of the term "palliative care" and, if aware, how much they agreed with statements representing common (mis)perceptions about palliative care (e.g., "Palliative care is the same as hospice").

RESULT

More than one-half of caregivers (55%) had "never heard" of palliative care; 19.2% knew what palliative care was and "could explain it to someone else." In adjusted models, racial minorities (vs. whites) and those without a college degree were less likely to have heard of palliative care. Among those aware of palliative care, ~40% "strongly" or "somewhat" agreed that "Palliative care is the same as hospice"; another 10.5% "didn't know." Similarly, 40% reported that "When I think of palliative care, I automatically think of death."

SIGNIFICANCE OF RESULTS

One-half of family caregivers of adults with serious chronic illness have never heard of palliative care. Even among those who had heard of palliative care, the majority do not distinguish it from hospice care and death. Given the role family caregivers may play in decisions to access palliative care, public messaging efforts are needed to clarify palliative care services in a way that is patient- and family-centered.

Measuring racial segregation in health system networks using the dissimilarity index

Racial disparities in the end-of-life treatment of patients are a well observed fact of the U.S. healthcare system. Less is known about how the physicians treating patients at the end-of-life influence the care received. Social networks have been widely used to study interactions with the healthcare system using physician patient-sharing networks. In this paper, we propose an extension of the dissimilarity index (DI), classically used to study geographic racial segregation, to study differences in patient care patterns in the healthcare system. Using the proposed measure, we quantify the unevenness of referrals (sharing) by physicians in a given region by their patients' race and how this relates to the treatments they receive at the end-of-life in a cohort of Medicare fee-for-service patients with Alzheimer's disease and related dementias. We apply the measure nationwide to physician patient-sharing networks, and in a sub-study comparing four regions with similar racial distribution, Washington, DC, Greenville, NC, Columbus, GA, and Meridian, MS. We show that among regions with similar racial distribution, a large dissimilarity index in a region (Washington, DC DI = 0.86 vs. Meridian, MS DI = 0.55), which corresponds to more distinct referral networks for black and white patients by the same physician, is correlated with black patients with Alzheimer's disease and related dementias receiving more aggressive care at the end-of-life (including ICU and ventilator use), and less aggressive quality care (early hospice care).

Developing an intervention around referral and admissions to intensive care: a mixed-methods study

Background

Intensive care treatment can be life-saving, but it is invasive and distressing for patients receiving it and it is not always successful. Deciding whether or not a patient will benefit from intensive care is a difficult clinical and ethical challenge.

Objectives

To explore the decision-making process for referral and admission to the intensive care unit and to develop and test an intervention to improve it.

Methods

A mixed-methods study comprising (1) two systematic reviews investigating the factors associated with decisions to admit patients to the intensive care unit and the experiences of clinicians, patients and families; (2) observation of decisions and interviews with intensive care unit doctors, referring doctors, and patients and families in six NHS trusts in the Midlands, UK; (3) a choice experiment survey distributed to UK intensive care unit consultants and critical care outreach nurses, eliciting their preferences for factors used in decision-making for intensive care unit admission; (4) development of a decision-support intervention informed by the previous work streams, including an ethical framework for decision-making and supporting referral and decision-support forms and patient and family information leaflets. Implementation feasibility was tested in three NHS trusts; (5) development and testing of a tool to evaluate the ethical quality of decision-making related to intensive care unit admission, based on the assessment of patient records. The tool was tested for inter-rater and intersite reliability in 120 patient records.

Results

Influences on decision-making identified in the systematic review and ethnographic study included age, presence of chronic illness, functional status, presence of a do not attempt cardiopulmonary resuscitation order, referring specialty, referrer seniority and intensive care unit bed availability. Intensive care unit doctors used a gestalt assessment of the patient when making decisions. The choice experiment showed that age was the most important factor in consultants’ and critical care outreach nurses’ preferences for admission. The ethnographic study illuminated the complexity of the decision-making process, and the importance of interprofessional relationships and good communication between teams and with patients and families. Doctors found it difficult to articulate and balance the benefits and burdens of intensive care unit treatment for a patient. There was low uptake of the decision-support intervention, although doctors who used it noted that it improved articulation of reasons for decisions and communication with patients.

Limitations

Limitations existed in each of the component studies; for example, we had difficulty recruiting patients and families in our qualitative work. However, the project benefited from a mixed-method approach that mitigated the potential limitations of the component studies.

Conclusions

Decision-making surrounding referral and admission to the intensive care unit is complex. This study has provided evidence and resources to help clinicians and organisations aiming to improve the decision-making for and, ultimately, the care of critically ill patients.

Future work

Further research is needed into decision-making practices, particularly in how best to engage with patients and families during the decision process. The development and evaluation of training for clinicians involved in these decisions should be a priority for future work.

Study registration

The systematic reviews of this study are registered as PROSPERO CRD42016039054, CRD42015019711 and CRD42015019714.

Funding

The National Institute for Health Research Health Services and Delivery Research programme. The University of Aberdeen and the Chief Scientist Office of the Scottish Government Health and Social Care Directorates fund the Health Economics Research Unit.

Estimating ICU Benefit: A Randomized Study of Physicians

OBJECTIVES

The distinction between overuse and appropriate use of the ICU hinges on whether a patient would benefit from ICU care. We sought to test 1) whether physicians agree about which types of patients benefit from ICU care and 2) whether estimates of ICU benefit are influenced by factors unrelated to severity of illness.

DESIGN

Randomized study.

SETTING

Online vignettes.

SUBJECTS

U.S. critical care physicians.

INTERVENTIONS

Physicians were provided with eight vignettes of hypothetical patients. Each vignette had a single patient or hospital factor randomized across participants (four factors related and four unrelated to severity of illness).

MEASUREMENTS AND MAIN RESULTS

The primary outcome was the estimate of ICU benefit, assessed with a 4-point Likert-type scale. In total, 1,223 of 8,792 physicians volunteered to participate (14% recruitment rate). Physician agreement of ICU benefit was poor (mean intraclass correlation coefficient for each vignette: 0.06; range: 0-0.18). There were no vignettes in which more than two thirds of physicians agreed about the extent to which a patient would benefit from ICU care. Increasing severity of illness resulted in greater estimated benefit of ICU care. Among factors unrelated to severity of illness, physicians felt ICU care was more beneficial when told one ICU bed was available than if ICU bed availability was unmentioned. Physicians felt ICU care was less beneficial when family was present than when family presence was unmentioned. The patient's age, but not race/ethnicity, also impacted estimates of ICU benefit.

CONCLUSIONS

Estimates of ICU benefit are widely dissimilar and influenced by factors unrelated to severity of illness, potentially resulting in inconsistent allocation of ICU care.

Measuring variability between clusters by subgroup: An extension of the median odds ratio

Investigating clustered data requires consideration of the variation across clusters, including consideration of the component of the total individual variance that is at the cluster level. The median odds ratio and analogues are useful intuitive measures available to communicate variability in outcomes across clusters using the variance of random intercepts from a multilevel regression model. However, the median odds ratio cannot describe variability across clusters for different patient subgroups because the random intercepts do not vary by subgroup. To empower investigators interested in equity and other applications of this scenario, we describe an extension of the median odds ratio to multilevel regression models employing both random intercepts and random coefficients. By example, we conducted a retrospective cohort analysis of variation in care limitations (goals of care preferences) according to ethnicity in patients admitted to intensive care. Using mixed-effects logistic regression clustered by hospital, we demonstrated that patients of non-Caucasian ethnicity were less likely to have care limitations but experienced similar variability across hospitals. Limitations of the extended median odds ratio include the large sample sizes and computational power needed for models with random coefficients. This extension of the median odds ratio to multilevel regression models with random coefficients will provide insight into cluster-level variability for researchers interested in equity and other phenomena where variability by patient subgroup is important.

Nonbeneficial Intensive Care: Misalignments Between Provider Assessments of Benefit and Use of Invasive Treatments

BACKGROUND

The purpose of this study was to examine how frequently invasive intensive care unit (ICU) treatments are delivered to critically ill patients despite clinicians' impressions that ICU care may be nonbeneficial.

METHODS

Patients admitted to the medical ICU of an academic public hospital were prospectively categorized according to guidelines from the Society of Critical Care Medicine which classifies patients based on severity of illness and likelihood of recovery (categories 1-4). Clinical data and use of ICU treatments in patients with high (category 1) and low (category 3) likelihoods of benefit were collected by chart review. Multivariable regression analyses examined associations between use of invasive treatments and patient categories, and clinical factors associated with receiving invasive ICU treatments despite low likelihood of benefit.

RESULTS

There were 533 patients (369 in category 1 and 164 in category 3) in the study. A total of 19.8%, 29.9%, and 28.9% of patient-days on mechanical ventilation, vasopressors, and renal replacement therapy, respectively, were delivered to patients who were considered unlikely to benefit from ICU treatments (category 3) and ultimately did not survive hospitalization. These patients also received 35.2% of cardiopulmonary resuscitation attempts and 22.6% of central venous catheter placements. Clinicians' impressions of likelihood of benefit (category 1 vs 3) were not associated with odds of receiving invasive ICU treatments. Clinical characteristics associated with greater odds of receiving potentially nonbeneficial treatments included older age, presence of dementia or malignancy, and higher Acute Physiologic Assessment and Chronic Health Evaluation score.

CONCLUSIONS

Invasive ICU treatments are frequently delivered to patients who are not expected to benefit from ICU care and die during hospitalization. These findings highlight the need to improve utilization of ICU services among patients with advanced medical illnesses.

Medicare Expenditures and Health Care Utilization in a Multiethnic Community-based Population With Dementia From Incidence to Death

INTRODUCTION

While individuals live with dementia for many years, utilization and expenditures from disease onset through the end-of-life period have not been examined in ethnically diverse samples.

METHODS

We used a multiethnic, population-based, prospective study of cognitive aging (Washington Heights-Inwood Columbia Aging Project) linked to Medicare claims to examine total Medicare expenditures and health care utilization among individuals with clinically diagnosed incident dementia from disease onset to death.

RESULTS

High-intensity treatment (hospitalizations, life-sustaining procedures) was common and mean Medicare expenditures per year after diagnosis was $69,000. Non-Hispanic blacks exhibited higher spending relative to Hispanics and non-Hispanic whites 1 year after diagnosis. Non-Hispanic blacks had higher total (mean=$205,000) Medicare expenditures from diagnosis to death compared with non-Hispanic whites (mean=$118,000). Hispanics' total expenditures and utilization after diagnosis was similar to non-Hispanic whites despite living longer with dementia.

DISCUSSION

Health care spending for patients with dementia after diagnosis through the end-of-life is high and varies by ethnicity.

An American Thoracic Society/National Heart, Lung, and Blood Institute Workshop Report: Addressing Respiratory Health Equality in the United States

Health disparities related to race, ethnicity, and socioeconomic status persist and are commonly encountered by practitioners of pediatric and adult pulmonary, critical care, and sleep medicine in the United States. To address such disparities and thus progress toward equality in respiratory health, the American Thoracic Society and the National Heart, Lung, and Blood Institute convened a workshop in May of 2015. The workshop participants addressed health disparities by focusing on six topics, each of which concluded with a panel discussion that proposed recommendations for research on racial, ethnic, and socioeconomic disparities in pulmonary, critical care, and sleep medicine. Such recommendations address best practices to advance research on respiratory health disparities (e.g., characterize broad ethnic groups into subgroups known to differ with regard to a disease of interest), risk factors for respiratory health disparities (e.g., study the impact of new tobacco or nicotine products on respiratory diseases in minority populations), addressing equity in access to healthcare and quality of care (e.g., conduct longitudinal studies of the impact of the Affordable Care Act on respiratory and sleep disorders), the impact of personalized medicine on disparities research (e.g., implement large studies of pharmacogenetics in minority populations), improving design and methodology for research studies in respiratory health disparities (e.g., use study designs that reduce participants' burden and foster trust by engaging participants as decision-makers), and achieving equity in the pulmonary, critical care, and sleep medicine workforce (e.g., develop and maintain robust mentoring programs for junior faculty, including local and external mentors). Addressing these research needs should advance efforts to reduce, and potentially eliminate, respiratory, sleep, and critical care disparities in the United States.

Transplant Center Variability in Disparities for African-American Kidney Transplant Recipients

Background

Disparities research has traditionally focused on patient-level variables to ascertain predominant risk factors driving differences in outcomes for African-American (AA) kidney transplant recipients. Our objectives were to determine the magnitude and impact of transplant center variability for graft outcome disparities.

Material/Methods

This was a retrospective cohort study analyzing 25 years of U.S. national transplant registry data at both the patient and center levels using univariate descriptive statistics and multivariable modeling.

Results

A total of 257,024 recipients from 191 centers were analyzed; AAs represented 31.1% of recipients. After adjusting for baseline characteristics, AAs had 42% higher risk of graft loss (aHR 1.42, 95% CI 1.39 to 1.45; p<0.001). Center variability for graft outcome disparities in AAs was significant (race*center interaction term p<0.05), with the aHRs ranging from 0.5 to 4.9; 46% of centers demonstrated a non-statistically significant disparity (aHR p>0.05) and 25% of centers had a large AA disparity (aHR >1.75). In a more recent transplant time period (2000–14), overall racial disparities decreased but center-level disparities increased in variability. Center-level factors significantly associated with increasing disparity included higher acute rejection rates, fewer transplants per year, longer length of stay, lower use of calcineurin inhibitors (CNI), and lower living donor rates.

Conclusions

There is evidence of significant center-level variability in graft outcome disparities for AA kidney recipients. Further, there appears to be a number of center-level factors associated with this variability, including acute rejection rates, CNI use, number of transplants per year, and, in recent years, low living donor rates.

Barriers to Hospice Care in Trauma Patients: The Disparities in End-of-Life Care

INTRODUCTION

End-of-life and palliative care are important aspects of trauma care and are not well defined. This analysis evaluates the racial and socioeconomic disparities in terms of utilization of hospice services for critically ill trauma patients.

METHODS

Trauma patients ≥15 years old from 2012 to 2015 were queried from the National Trauma Databank. Chi-square and multivariate logistic regression analyses for disposition to hospice were performed after controlling for age, gender, comorbidities, injury severity, insurance, race, and ethnicity. Negative binomial regression analysis with margins for length of stay (LOS) was calculated for all patients discharged to hospice.

RESULTS

Chi-square analysis of 2 966 444 patient's transition to hospice found patients with cardiac disease, bleeding and psychiatric disorders, chemotherapy, cancer, diabetes, cirrhosis, respiratory disease, renal failure, cirrhosis, and cerebrovascular accident (CVA) affected transfer ( P < .0001). Logistic regression analysis after controlling for covariates showed uninsured patients were discharged to hospice significantly less than insured patients (odds ratio [OR]: 0.71; P < .0001). Asian, African American, and Hispanic patients all received less hospice care than Caucasian patients (OR: 0.65, 0.60, 0.73; P < .0001). Negative binomial regression analysis with margins for LOS showed Medicare patients were transferred to hospice 1.2 days sooner than insured patients while uninsured patients remained in the hospital 1.6 days longer ( P < .001). When compare to Caucasians, African Americans patients stayed 3.7 days longer in the hospital and Hispanics 2.4 days longer prior to transfer to hospice ( P < .0001). In all patients with polytrauma, African Americans stayed 4.9 days longer and Hispanics 2.3 days longer as compared to Caucasians ( P < .0001).

CONCLUSIONS

Race and ethnicity are independent predictors of a trauma patient's transition to hospice care and significantly affect LOS. Our data demonstrate prominent racial and socioeconomic disparities exist, with uninsured and minority patients being less likely to receive hospice services and having a delay in transition to hospice care when compared to their insured Caucasian counterparts.

The Paradox of End-of-Life Hospital Treatment Intensity among Black Patients: A Retrospective Cohort Study

OBJECTIVE

Black patients are more likely than white patients to die in the hospital with intensive care and life-sustaining treatments and less likely to use hospice. Regional concentration of high end-of-life (EOL) treatment intensity practice patterns may disproportionately affect black patients. We calculated and compared race-specific hospital-level EOL treatment intensity in Pennsylvania.

METHODS

We conducted a retrospective cohort analysis of Pennsylvania acute care hospital admissions, 2001-2007, among black and white admissions ≥21 years old at high probability of dying (HPD) (≥15% predicted probability of dying at admission). We calculated hospitals' race-specific observed, expected, and Bayes' shrunken observed-to-expected ratios of intensive care unit (ICU) admission, ICU length of stay (LOS), intubation/mechanical ventilation, hemodialysis, tracheostomy, and gastrostomy among HPD admissions; and an empirically weighted EOL treatment intensity index summing these ratios.

RESULTS

There were 35,609 black HPD admissions (27,576 unique patients) and 311,896 white HPD admissions (252,662 unique patients) to 182 hospitals. Among 95 hospitals with ≥30 black HPD admissions, 80% of black admissions were concentrated in 29 hospitals, where black-specific observed and expected EOL measures were usually higher than white-specific measures (p < 0.001 for all but 5/24 measures). Hospitals' black-specific and white-specific observed-to-expected ratios of ICU and life-sustaining treatment (LST) (rho 0.52-0.90) and EOL index (rho = 0.92) were highly correlated. However, black-specific observed-to-expected ratios and overall EOL intensity index were consistently lower than white-specific ratios (p < 0.001 for all except hemodialysis).

CONCLUSIONS

In Pennsylvania, black-serving hospitals have higher standardized EOL treatment intensity than nonblack-serving hospitals, contributing to black patients' relatively higher use of intensive treatment. However, conditional on being admitted to the same high-intensity hospital and after risk adjustment, blacks are less intensively treated than whites.

Racial Disparities in Hospice Outcomes: A Race or Hospice-Level Effect?

OBJECTIVES

To determine whether there is racial variation in hospice enrollees in rates of hospitalization and hospice disenrollment and, if so, whether systematic differences in hospice provider patterns explain the variation.

DESIGN

Longitudinal cohort study.

SETTING

Hospice.

PARTICIPANTS

Medicare beneficiaries (N = 145,038) enrolled in a national random sample of hospices (N = 577) from the National Hospice Survey and followed until death (2009-10).

MEASUREMENTS

We used Medicare claims data to identify hospital admissions, emergency department (ED) visits, and hospice disenrollment after hospice enrollment. We used a series of hierarchical models including hospice-level random effects to compare outcomes of blacks and whites.

RESULTS

In unadjusted models, black hospice enrollees were significantly more likely than white enrollees to be admitted to the hospital (14.9% vs 8.7%, odds ratio (OR) = 1.84, 95% confidence interval (CI) = 1.74-1.95), visit the ED (19.8% vs 13.5%, OR = 1.58, 95% CI = 1.50-1.66), and disenroll from hospice (18.1% vs 13.0%, OR = 1.48, 95% CI = 1.40-1.56). These results were largely unchanged after accounting for participant clinical and demographic covariates and hospice-level random effects. In adjusted models, blacks were at higher risk of hospital admission (OR = 1.75, 95% CI = 1.64-1.86), ED visits (OR = 1.61, 95% CI = 1.52-1.70), and hospice disenrollment (OR = 1.54, 95% CI = 1.45-1.63).

CONCLUSION

Racial differences in intensity of care at the end of life are not attributable to hospice-level variation in intensity of care. Differences in patterns of care between black and white hospice enrollees persist within the same hospice.

Hospital-Based Physicians' Intubation Decisions and Associated Mental Models when Managing a Critically and Terminally Ill Older Patient

BACKGROUND

Variation in the intensity of acute care treatment at the end of life is influenced more strongly by hospital and provider characteristics than patient preferences.

OBJECTIVE

We sought to describe physicians' mental models (i.e., thought processes) when encountering a simulated critically and terminally ill older patient, and to compare those models based on whether their treatment plan was patient preference-concordant or preference-discordant.

METHODS

Seventy-three hospital-based physicians from 3 academic medical centers engaged in a simulated patient encounter and completed a mental model interview while watching the video recording of their encounter. We used an "expert" model to code the interviews. We then used Kruskal-Wallis tests to compare the weighted mental model themes of physicians who provided preference-concordant treatment with those who provided preference-discordant treatment.

RESULTS

Sixty-six (90%) physicians provided preference-concordant treatment and 7 (10%) provided preference-discordant treatment (i.e., they intubated the patient). Physicians who intubated the patient were more likely to emphasize the reversible and emergent nature of the patient situation (z = -2.111, P = 0.035), their own comfort (z = -2.764, P = 0.006), and rarely focused on explicit patient preferences (z = 2.380, P = 0.017).

LIMITATIONS

Post-decisional interviewing with audio/video prompting may induce hindsight bias. The expert model has not yet been validated and may not be exhaustive. The small sample size limits generalizability and power.

CONCLUSIONS

Hospital-based physicians providing preference-discordant used a different mental model for decision making for a critically and terminally ill simulated case. These differences may offer targets for future interventions to promote preference-concordant care for seriously ill patients.

Does Admission to the ICU Prevent African American Disparities in Withdrawal of Life-Sustaining Treatment?

OBJECTIVE

We sought to determine whether black patients admitted to an ICU were less likely than white patients to withdraw life-sustaining treatments.

DESIGN

We performed a retrospective cohort study of hospital discharges from October 20, 2015, to October 19, 2016, for inpatients 18 years old or older and recorded those patients, along with their respective races, who had an "Adult Comfort Care" order set placed prior to discharge. A two-sample test for equality of two proportions with continuity correction was performed to compare the proportions between blacks and whites.

SETTING

University of Florida Health.

PATIENTS

The study cohort included 29,590 inpatient discharges, with 21,212 Caucasians (71.69%), 5,825 African Americans (19.69%), and 2,546 non-Caucasians/non-African Americans (8.62%).

INTERVENTIONS

Withdrawal of life-sustaining treatments.

MEASUREMENTS AND MAIN RESULTS

Of the total discharges (n = 29,590), 525 (1.77%) had the Adult Comfort Care order set placed. Seventy-eight of 5,825 African American patients (1.34%) had the Adult Comfort Care order set placed, whereas 413 of 21,212 Caucasian patients (1.95%) had this order set placed (p = 0.00251; 95% CI, 0.00248-0.00968). Of the 29,590 patients evaluated, 6,324 patients (21.37%) spent at least one night in an ICU. Of these 6,324 patients, 4,821 (76.24%) were white and 1,056 (16.70%) were black. Three hundred fifty of 6,324 (5.53%) were discharged with an Adult Comfort Care order set. Two hundred seventy-one White patients (5.62%) with one night in an ICU were discharged with an Adult Comfort Care order set, whereas 54 Black patients (5.11%) with one night in an ICU had the order set (p = 0.516).

CONCLUSIONS

This study suggests that Black patients may be less likely to withdraw life-supportive measures than whites, but that this disparity may be absent in patients who spend time in the ICU during their hospitalization.

Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life

Purpose Little is known about the patterns and predictors of the use of end-of-life health care among patients with acute myeloid leukemia (AML). End-of-life care is particularly relevant for older adults with AML because of their poor prognosis. Methods We performed a population-based, retrospective cohort study of patients with AML who were ≥ 66 years of age at diagnosis and diagnosed during the period from 1999 to 2011 and died before December 31, 2012. Medicare claims were used to assess patterns of hospice care and use of aggressive treatment. Predictors of these end points were evaluated using multivariable logistic regression analyses. Results In the overall cohort (N = 13,156), hospice care after AML diagnosis increased from 31.3% in 1999 to 56.4% in 2012, but the increase was primarily driven by late hospice enrollment that occurred in the last 7 days of life. Among the 5,847 patients who enrolled in hospice, 47.4% and 28.8% started their first hospice enrollment in the last 7 and 3 days of life, respectively. Among patients who transferred in and out of hospice care, 62% received transfusions outside hospice. Additionally, the use of chemotherapy within the last 14 days of life increased from 7.7% in 1999 to 18.8% in 2012. Patients who were male and nonwhite were less likely to enroll in hospice and more likely to receive chemotherapy or be admitted to intensive care units at the end of life. Conversely, older patients were less likely to receive chemotherapy or have intensive care unit admission at the end of life, and were more likely to enroll in hospice. Conclusion End-of-life care for older patients with AML is suboptimal. Additional research is warranted to identify reasons for their low use of hospice services and strategies to enhance end-of-life care for these patients.

Prospective Identification of Patients at Risk for Unwarranted Variation in Treatment

BACKGROUND

Understanding factors associated with treatment intensity may help ensure higher value healthcare.

OBJECTIVE

To investigate factors associated with Medicare costs among prospectively identified, seriously ill older adults and examine if baseline prognosis influences the impact of these factors.

DESIGN/SUBJECTS

Prospective observation of Health and Retirement Study cohort with linked Medicare claims.

MEASUREMENTS

We identified people with incident serious illness (a serious medical condition, for example, metastatic cancer or functional impairment); calculated subjects' one-year mortality risk; and then followed them for one year. We examined relationships between individual and regional characteristics and total Medicare costs, and then stratified analyses by one-year mortality risk: low, moderate, and high.

RESULTS

From 2002 to 2012, 5208 subjects had incident serious illness: mean age 78 years, 60% women, 76% non-Hispanic white, and 39% hospitalized in the past year. During one-year follow-up, 12% died. Total Medicare costs averaged $20,607. In multivariable analyses, indicators of poor health (e.g., cancer, advanced heart and lung disease, multimorbidity, functional impairment, and others) were significantly associated with higher costs (p < 0.05). However, among those with high mortality risk, health-related variables were not significant. Instead, African American race (rate ratio [RR] 1.56) and moderate-to-high spending regions (RR 1.31 and 1.54, respectively) were significantly associated with higher costs. For this high-risk population, residence in high-spending regions was associated with $31,476 greater costs among African Americans, and $11,162 among other racial groups, holding health constant.

CONCLUSIONS

Among seriously ill older adults, indicators of poor health are associated with higher costs. Yet, among those with poorest prognoses, nonmedical characteristics-race and regional practice patterns-have greater influence on treatment. This suggests there may be novel opportunities to improve care quality and value by assuring patient-centered, goal-directed care.

Diversity in the Emerging Critical Care Workforce: Analysis of Demographic Trends in Critical Care Fellows From 2004 to 2014

OBJECTIVES

Diversity in the physician workforce is essential to providing culturally effective care. In critical care, despite the high stakes and frequency with which cultural concerns arise, it is unknown whether physician diversity reflects that of critically ill patients. We sought to characterize demographic trends in critical care fellows, who represent the emerging intensivist workforce.

DESIGN

We used published data to create logistic regression models comparing annual trends in the representation of women and racial/ethnic groups across critical care fellowship types.

SETTING

United States Accreditation Council on Graduate Medical Education-approved residency and fellowship training programs.

SUBJECTS

Residents and fellows employed by Accreditation Council on Graduate Medical Education-accredited training programs from 2004 to 2014.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

From 2004 to 2014, the number of critical care fellows increased annually, up 54.1% from 1,606 in 2004-2005 to 2,475 in 2013-2014. The proportion of female critical care fellows increased from 29.5% (2004-2005) to 38.3% (2013-2014) (p < 0.001). The absolute number of black fellows increased each year but the percentage change was not statistically significantly different (5.1% in 2004-2005 vs 3.9% in 2013-2014; p = 0.92). Hispanic fellows increased in number from 124 (7.7%) in 2004-2005 to 216 (8.4%) in 2013-2014 (p = 0.015). The number of American Indian/Alaskan Native/Native Hawaiian/Pacific Islander fellows decreased from 15 (1.0%) to seven (0.3%) (p < 0.001). When compared with population estimates, female critical care fellows and those from racial/ethnic minorities were underrepresented in all years.

CONCLUSIONS

The demographics of the emerging critical care physician workforce reflect underrepresentation of women and racial/ethnic minorities. Trends highlight increases in women and Hispanics and stable or decreasing representation of non-Hispanic underrepresented minority critical care fellows. Further research is needed to elucidate the reasons underlying persistent underrepresentation of racial and ethnic minorities in critical care fellowship programs.

Costs of care at the end of life among elderly patients with chronic kidney disease: patterns and predictors in a nationwide cohort study

Background

Despite the urgent need for evidence to guide the end-of-life (EOL) care for patients with chronic kidney disease (CKD), we have limited knowledge of the costs and intensity of EOL care in this population. The present study examined patterns and predictors for EOL care intensity among elderly patients with CKD.

Methods

We conducted a retrospective nationwide cohort study utilizing the Taiwan National Health Insurance (NHI) Research Database. A total of 65,124 CKD patients aged ≥ 60 years, who died in hospitals or shortly after discharge between 2002 and 2012 were analyzed. The primary outcomes were inpatient expenses and use of surgical interventions in the last 30 days of life. Utilization of intensive care unit (ICU), mechanical ventilation, resuscitation, and dialysis was also examined in a sub-sample of 2072 patients with detailed prescription data. Multivariate log-linear and logistic regression analyses were performed to assess patient-, physician-, and facility-specific predictors and the potential impact of a 2009 payment policy to reimburse hospice care for non-cancer patients.

Results

During the last 30 days of life, average inpatients costs for elderly CKD patients were approximately US$10,260, with 40.9% receiving surgical interventions, 40.2% experiencing ICU admission, 45.3% undergoing mechanical ventilation, 14.7% receiving resuscitation and 42.0% receiving dialysis. Significant variability was observed in the inpatient costs and use of intensive services. Costs were lower among individuals with the following characteristics: advanced age; high income; high Charlson Comorbidity Index scores; treatment by older physicians, nephrologists, and family medicine physicians; and treatment at local hospitals. Similar findings were obtained for the use of surgical interventions and other intensive services. A declining trend was detected in the costs of EOL care, use of surgical interventions and resuscitation between 2009 and 2012, which is consistent with the impact of a 2009 NHI payment policy to reimburse non-cancer hospice care.

Conclusions

Overall EOL costs and rates of intensive service use among older patients with CKD were high, with significant variability across various patient and provider characteristics. Several opportunities exist for providers and policy makers to reduce costs and enhance the value of EOL care for this population.