Literature DB >> 17356965

Influence of race on inpatient treatment intensity at the end of life.

Amber E Barnato1, Chung-Chou H Chang, Olga Saynina, Alan M Garber.   

Abstract

OBJECTIVE: To examine inpatient intensive care unit (ICU) and intensive procedure use by race among Medicare decedents, using utilization among survivors for comparison.
DESIGN: Retrospective observational analysis of inpatient claims using multivariable hierarchical logistic regression.
SETTING: United States, 1989-1999. PARTICIPANTS: Hospitalized Medicare fee-for-service decedents (n = 976,220) and survivors (n = 845,306) aged 65 years or older.
MEASUREMENTS AND MAIN RESULTS: Admission to the ICU and use of one or more intensive procedures over 12 months, and, for inpatient decedents, during the terminal admission. Black decedents with one or more hospitalization in the last 12 months of life were slightly more likely than non-blacks to be admitted to the ICU during the last 12 months (49.3% vs. 47.4%, p <.0001) and the terminal hospitalization (41.9% vs. 40.6%, p < 0.0001), but these differences disappeared or attenuated in multivariable hierarchical logistic regressions (last 12 months adjusted odds ratio (AOR) 1.0 [0.99-1.03], p = .36; terminal hospitalization AOR 1.03 [1.0-1.06], p = .01). Black decedents were more likely to undergo an intensive procedure during the last 12 months (49.6% vs. 42.8%, p < .0001) and the terminal hospitalization (37.7% vs, 31.1%, p < .0001), a difference that persisted with adjustment (last 12 months AOR 1.1 [1.08-1.14], p < .0001; terminal hospitalization AOR 1.23 [1.20-1.26], p < .0001). Patterns of differences in inpatient treatment intensity by race were reversed among survivors: blacks had lower rates of ICU admission (31.2% vs. 32.4%, p < .0001; AOR 0.93 [0.91-0.95], p < .0001) and intensive procedure use (36.6% vs. 44.2%; AOR 0.72 [0.70-0.73], p <.0001). These differences were driven by greater use by blacks of life-sustaining treatments that predominate among decedents but lesser use of cardiovascular and orthopedic procedures that predominate among survivors. A hospital's black census was a strong predictor of inpatient end-of-life treatment intensity.
CONCLUSIONS: Black decedents were treated more intensively during hospitalization than non-black decedents, whereas black survivors were treated less intensively. These differences are strongly associated with a hospital's black census. The causes and consequences of these hospital-level differences in intensity deserve further study.

Entities:  

Mesh:

Year:  2007        PMID: 17356965      PMCID: PMC1824769          DOI: 10.1007/s11606-006-0088-x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


In contrast to general patterns of racial differences in health care utilization,1,2 including lower rates of invasive cardiac procedures,3–11 surgical treatment for lung cancer12 and renal transplantation13,14 among blacks, at the end of life, blacks appear to receive higher rates of intensive treatment. For example, blacks are more likely to die in the hospital15 and less likely to use hospice16 and have higher overall spending in their last 12 months than whites.17–19 Some have tried to explain these phenomena by citing differences in patient preferences. Indeed, several studies report that blacks and Hispanics prefer more aggressive life-sustaining treatment than whites,20–23 and that physicians’ preferences for end-of-life treatment follow the same pattern by race as patients’ preferences.24 However, treatment preferences for care at the end of life do not reliably predict actual treatment.15,25 Recent studies have explored the role of region,26 hospital,27–29 and individual provider30 in observed racial differences in health care utilization. With respect to end-of-life care, an analysis of Medicare claims found that aggregate ICU admissions and hospital days in the last 6 months of life are driven more by region of residence than by race31 and an analysis of terminal hospital discharges from 6 states found that the majority of observed differences in ICU use among black and Hispanic decedents were attributable to their use of hospitals with higher ICU use rather than to racial differences in ICU use within the same hospital.32 Secular increases in ICU admission and intensive inpatient procedure use have occurred among both decedents and survivors33; little is known about the respective trends by race. Building upon our previous work, we sought to describe the effect of race on inpatient ICU and intensive procedure use among Medicare decedents over 10 years, adjusting for hospital-level effects in the analyses and using utilization among survivors for comparison. We hypothesized that hospitalized black decedents would be treated more intensively in their last 12 months of life, but less intensively otherwise, and that differences in end-of-life intensity would be largely attributable to greater use of life-sustaining procedures such as mechanical ventilation, feeding tube placement, and hemodialysis.

METHODS

Sample Selection

We initially drew a 20% sample of all decedents and a 5% sample of all survivors enrolled in Medicare in 1989, 1991, 1993, 1995, 1997, and 1999 from the Denominator file maintained by the Centers for Medicare and Medicaid Services. The data were initially assembled to study secular trends over time, so it was not felt that every year was necessary.33 For the current analyses, we removed 1985 and 1987 because these years were not comparable to the years after 1989, due to the introduction of DRGs 474 and 475 in October, 1987. After those DRGs were introduced, there was a marked jump in the coding of intubation and tracheostomy procedures, the most common inpatient intensive procedures among decedents. Regarding truncation at 1999, at the time of our initial forays into analysis (2001), 1999 was the most recent year of data available. For each beneficiary, we assembled the acute care hospital claims from the Medicare Medical Provider Analysis and Review (MedPAR) files; for decedents, we included all claims in the 365 days preceding their death and for the survivors we included claims during the calendar year. This provided a full 12 months of enrollment and utilization experience for both survivors and decedents. We limited our analysis to patients aged 65 and older and excluded Medicare beneficiaries with discontinuous enrollment in Medicare Part A or Part B, residence outside the United States or a foreign hospital admission, enrollment in a health maintenance organization, or hospitalization in a Federal hospital during the year because these persons might have incomplete hospitalization records. For beneficiaries whose claims spanned multiple years (first as survivors and later as decedents), we randomly sampled one 12-month (survivor or decedent) claims period for the current analysis so that no beneficiary appears more than once. We abstracted each patient’s age, sex, race, and ZIP code of residence from the Social Security Administration denominator file. We classified age into 5-year increments (65–69, 70–74, 75–79, 80–84, and >85), and analyzed race by grouping all beneficiaries into the categories “black” and “nonblack,” excluding all beneficiaries with “unknown” race.34 We used ZIP code level measures of income and education from the area resource file (ARF) as proxies for these socioeconomic indicators. Individual socioeconomic status will generally be associated with area measures of income, with people living in wealthy areas having more assets and socioeconomic status than people living in poorer areas.35,36 In exploratory multivariable regressions, Charlson diagnoses provided better model fit for expenditures than Elixhauser diagnoses,37,38 so we used the presence or absence of these 18 ICD-9 clinical diagnoses for comorbidity risk adjustment. We attributed a beneficiary’s hospital care to the first hospital patronized in the 12-month sampling frame. Among survivors and decedents with at least one hospital admission in the year, over 60% and 40%, respectively, had only one claim; the remainder had two or more hospitalizations. Among all patients with at least one hospital admission, 87% of survivors and 78% of decedents in 1999 received all of their inpatient care at one hospital. We used files from the American Hospital Association (AHA) survey to identify hospitals’ membership in the Council of Teaching Hospitals (COTH), financial status (for profit or not for profit, including government hospitals), and bed size. A small number of hospitals care for the vast majority of elderly black Americans.39 We constructed a variable “percent black” (percent of all admissions among blacks) to capture unmeasured hospital differences that vary systematically with black census.

Inpatient ICU and Procedure Use

For each beneficiary with at least one hospital admission in the 12 months, we recorded total hospital admissions, ICU admissions, and major surgical procedures. We classified a patient as having an ICU admission if the hospitalization included one or more days in a coronary care unit (CCUs) or an intensive care unit (ICUs). We condensed the International Classification of Diseases, 9th Edition (ICD-9) procedure codes into 228 categories using an algorithm nearly identical to the Clinical Classification System (CCS) developed for the Agency for Healthcare Research and Quality (AHRQ). For this study, we report data on the 88 procedure categories that are performed primarily in the inpatient setting and which were likely the primary reason for admission (see Appendix). We made exceptions to this rule for a handful of technologies that were newly introduced during the time period of study and that grew rapidly in use (e.g., automated implantable cardioverter defibrillator (AICD) implantation).

Statistical Analyses

We performed all computations with SAS statistical software (version 6.12, SAS Corporation, Cary, NC, USA). We categorized patients with at least one hospital admission during the year into 4 subgroups: black decedents, nonblack decedents, black survivors, and nonblack survivors, and compared their demographics, comorbidities, hospital characteristics, inpatient expenditures, and ICU and intensive procedure use. We performed multivariable logistic regression on the categorical receipt of one or more ICU admission and the receipt of one or more intensive procedures using a hierarchical model to adjust for patients clustered within hospitals. We estimated this model with the restricted maximum likelihood method, assuming unstructured covariance and treating hospital as a random effect. We performed separate regressions for decedents and survivors and included calendar year of observation in all models. Due to the marked interaction between decedent status and all outcomes, this was the most appropriate modeling strategy. To calculate the 95% confidence intervals on odds ratios from our parameter estimates and standard errors, we used the Wald first-order approximation.40 The Institutional Review Board at Stanford University approved the study. We had complete independence from the National Institute on Aging (NIA) in the design, conduct, and reporting of the study.

RESULTS

Characteristics of the Study Sample

The sample included 887,787 nonblack and 88,433 black decedents and 781,980 nonblack and 63,326 black survivors with at least one admission between 1989 and 1999. There were significant differences in most measured covariables between nonblacks and blacks (Table 1).
Table 1

Characteristics of the Study Sample, by Race and Survivor Status, 1989–1999

CharacteristicDecedentsSurvivors
Nonblack (N = 887,787)Black (N = 88,433)p-valueNonblack (N = 781,980)Black (N = 63,326)p-value
Demographics
Mean age, years80.979.9<.000177.376.8<.0001
 Women, %54.156.3<.000158.561.4<.0001
 College education, %17.212.8<.000117.813.4<.0001
 Median household income, $30,15822,535<.000130,70623,323<.0001
Clinical comorbidities
 Old myocardial infarction, %6.04.4<.00014.93.6<.0001
 Recent myocardial infarction, %13.19.9<.00015.13.9<.0001
 Congestive heart failure, %41.838.0<.000116.518.9<.0001
 Peripheral vascular disease, %8.811.9<.00014.55.8<.0001
 Cerebrovascular disease, %7.011.0<.00013.46.4<.0001
 Dementia, %9.711.4<.00013.95.5<.0001
 Chronic obstructive pulmonary disease, %31.523.6<.000120.116.7<.0001
 Rheumatologic disease, %2.31.8<.00012.01.7<.0001
 Peptic ulcer disease, %0.080.05.00120.040.02.0103
 Mild liver disease, %1.81.4<.00010.60.6.0507
 Moderate or severe liver disease, %1.51.2<.00010.30.2.0204
 Diabetes, %18.826.3<.000114.323.6<.0001
 Diabetes with complications, %3.56.2<.00011.94.0<.0001
 Hemiplegia, %6.18.3<.00012.84.9<.0001
 Chronic renal failure, %8.413.7<.00011.94.5<.0001
 Metastatic solid tumor, %17.818.4<.00013.63.8.0057
 Other neoplasia, %26.227.5<.000110.410.5.374
 Human immunodeficiency virus, %0.030.14<.00010.010.06<.0001
Hospital characteristics
 Size, mean number of beds205252<.0001214257<.0001
 Member of COTH*, %12.826.1<.000113.626.0<.0001
 For profit ownership, %10.611.9<.000111.212.2<.0001
 Percent black, %7.029.8<.00016.426.5<.0001

*Council of teaching hospitals.

Characteristics of the Study Sample, by Race and Survivor Status, 1989–1999 *Council of teaching hospitals.

Intensive Care and Procedure Use

We present crude rates of ICU admission and the use of one or more intensive procedures by race for all years combined in Table 2 and by year in Figure 1. Black decedents with one or more hospitalization in the last 12 months of life were slightly more likely than nonblacks to be admitted to the ICU during the last 12 months (49.3% vs. 47.4%, p < .0001) and the terminal hospitalization (41.9% vs. 40.6%, p < .0001), but these differences disappeared or attenuated in multivariable hierarchical logistic regressions (last 12 months adjusted odds ratio (AOR) 1.0 [0.99–1.03], p = .36; terminal hospitalization AOR 1.03 [1.0–1.06], p = .01). Black decedents were more likely to undergo an intensive procedure during the last 12 months (49.6% vs. 42.8%, p < .0001) and the terminal hospitalization (37.7% vs. 31.1%, p < .0001), a difference that persisted with adjustment (last 12 months AOR 1.1 [1.08–1.14], p < .0001; terminal hospitalization AOR 1.23 [1.20–1.26], p < .0001). Patterns of differences in inpatient treatment intensity by race were reversed among survivors: blacks had lower rates of ICU admission (31.2% vs. 32.4%, p < .0001; AOR 0.93 [0.91–0.95], p < .0001) and intensive procedure use (36.6% vs. 44.2%; AOR 0.72 [0.70–0.73], p < .0001). The black/nonblack difference in decedent, but not survivor, ICU and procedure use increased over time (Fig. 1).
Table 2

Inpatient Resource Use, by Race and Survivor Status, 1989–1999

 DecedentsSurvivors
Nonblack (N = 887,787)Black (N = 88,433)p-valueNonblack (N = 781,980)Black (N = 63,326)p-value
Annual resource use
 One or more ICU admission, %47.449.3<.000132.431.2<.0001
 Intensive procedure, %42.849.6<.000144.236.6<.0001
Terminal admission resource use
 ICU admission, %40.641.9<.0001
 Intensive procedure, %31.137.7<.0001
Figure 1

Trends in inpatient treatment intensity differences by race between 1989 and 1999. The gap in ICU admission (panel A) and intensive procedure use (panel B) between blacks and nonblacks has widened among decedents (dashed lines) but remained parallel or narrowed among survivors (solid lines). Overall procedure use (panel B) among nonblacks does not vary much by survivorship status; in contrast, procedure use among blacks is much higher for decedents than among survivors.

Inpatient Resource Use, by Race and Survivor Status, 1989–1999 Trends in inpatient treatment intensity differences by race between 1989 and 1999. The gap in ICU admission (panel A) and intensive procedure use (panel B) between blacks and nonblacks has widened among decedents (dashed lines) but remained parallel or narrowed among survivors (solid lines). Overall procedure use (panel B) among nonblacks does not vary much by survivorship status; in contrast, procedure use among blacks is much higher for decedents than among survivors. Additional predictors of inpatient treatment intensity included educational achievement in the patient’s ZIP code and hospital characteristics (Table 3). Notably, a 5% increase in the hospital’s black census increased the odds of ICU admission 17-fold ([14.1–20.8], p < .0001) for the last 12 months and 24-fold ([18.6–31.0], p < .0001) for the terminal admission. This effect was much more modest among survivors (AOR 1.55 [1.23–2.95], p = .0002). A 5% increase in the hospital’s black census increased the odds of an intensive procedure 8-fold ([6.2–10.4], p < .0001) for the last 12 months and 16-fold ([12.6–21.1], p < .0001) for the terminal admission, but decreased the odds for survivors more than 6-fold ([0.12–0.20], p < 0.0001).
Table 3

Adjusted Odds* of ICU Admission and Intensive Procedure Use, 1989–1999

 Decedents Adjusted OR (95% CI)Survivors Adjusted OR (95% CI)
ICU admissionIntensive procedureICU admissionIntensive procedure
12-Month resource use
 Black race1.01 (0.99–1.03)1.11 (1.08–1.14)0.93 (0.91–0.95)0.72 (0.70–0.73)
 10-Year increase in age0.604 (0.600–0.608)0.681 (0.675–0.686)0.82 (0.81–0.83)0.673 (0.668–0.679)
 10% increase in college degree holders0.04 (0.02–0.07)0.11 (0.05–0.25)0.02 (0.009–0.03)1.19 (0.58–2.56)
 100 bed increase in hospital size1.066 (1.062–1.070)1.127 (1.122–1.132)1.064 (1.060–1.068)1.146 (1.141–1.151)
 For profit hospital1.39 (1.37–1.41)1.17 (1.15–1.19)1.33 (1.31–1.35)1.11 (1.09–1.13)
 Teaching hospital0.86 (0.85–0.88)1.04 (1.02–1.06)0.79 (0.78–0.81)0.97 (0.95–0.99)
 5% increase in black census17.14 (14.14–20.79)8.0 (6.2–10.4)1.55 (1.23–1.95)0.16 (0.12–0.20)
Terminal admission resource use
 Black race1.03 (1.01–1.06)1.23 (1,20–1.26)
 10-Year increase in age0.545 (0.541–0.550)0.564 (0.559–0.569)
 10% increase in college degree holders0.17 (0.08–0.37)0.07 (0.03–0.16)
 100 bed increase in hospital size1.066 (1.061–1.071)1.113 (1.108–1.118)
 For profit hospital1.31 (1.29–1.34)1.18 (1.16–1.20)
 Teaching hospital0.92 (0.90–0.94)1.13 (1.11–1.16)
 5% increase in black census24.05 (18.63–31.04)16.3 (12.6–21.1)

*Hierarchical multivariable logistic regression model adjusted for age, race, sex, ICD-9 diagnoses of old myocardial infarction (MI), recent MI, congestive heart failure, peripheral vascular disease, cerebrovascular disease, dementia, chronic obstructive pulmonary disease, rheumatologic disease, peptic ulcer disease, mild liver disease, moderate–severe liver disease, diabetes, diabetes with complications, hemiplegia, chronic renal failure, neoplasia, metastatic cancer, HIV, calendar year (1989, 1991, 1993, 1995, 1997, or 1999), ZIP code measures of education (percent of persons with a college degree) and income (median income), and hospital characteristics, including membership in the Council of Teaching Hospitals (COTH), total hospital beds, hospital ownership (for profit vs. not-for-profit), and the percent of decedents who were black.

Adjusted Odds* of ICU Admission and Intensive Procedure Use, 1989–1999 *Hierarchical multivariable logistic regression model adjusted for age, race, sex, ICD-9 diagnoses of old myocardial infarction (MI), recent MI, congestive heart failure, peripheral vascular disease, cerebrovascular disease, dementia, chronic obstructive pulmonary disease, rheumatologic disease, peptic ulcer disease, mild liver disease, moderate–severe liver disease, diabetes, diabetes with complications, hemiplegia, chronic renal failure, neoplasia, metastatic cancer, HIV, calendar year (1989, 1991, 1993, 1995, 1997, or 1999), ZIP code measures of education (percent of persons with a college degree) and income (median income), and hospital characteristics, including membership in the Council of Teaching Hospitals (COTH), total hospital beds, hospital ownership (for profit vs. not-for-profit), and the percent of decedents who were black. The distinct patterns of racial differences in intensive procedure use were driven by the particular procedures that predominate among decedents compared to survivors. We list each of the procedures performed among 1.5% or more of each population in Table 4, indicating those that are more and less frequently performed among blacks compared to nonblacks. Specifically, such life-sustaining procedures as intubation/tracheostomy for mechanical ventilation and gastrostomy placement for enteral feeding predominated among decedents, and blacks were more likely than nonblacks to undergo these procedures, regardless of survivorship group. In contrast, cardiovascular and orthopedic procedures that have been classified by the Dartmouth Atlas of Health Care as preference- and supply-sensitive procedures, such as cardiac catheterization and revascularization and hip replacement, predominated among survivors and were less frequently performed among blacks than nonblacks.
Table 4

Common* Intensive Procedure Use by Race and Survivor Status, 1989–1999

ProcedureDecedentsSurvivors
Nonblack (N = 887,787)Black (N = 88,433)Nonblack (N = 781,980)Black (N = 63,326)
Greater use among blacks
Intubation and tracheostomy, %14.519.22.02.7
Feeding tube placement, %5.511.61.12.5
Arteriogram or venogram (not heart or head), %2.53.12.22.8
Hemodialysis, %2.25.90.62.7
Revision/repair of vessel/vascular procedure, %1.32.21.12.5
Creation of arteriovenous fistula, %0.72.40.31.3
Lesser use among blacks
Cardiac catheterization, coronary arteriography, %4.63.18.45.7
Treatment, fracture of hip and femur, %3.61.52.91.3
Hip replacement, total and partial, %1.91.03.01.4
Insert/replace/revise/remove permanent pacemaker, %1.61.41.91.5
Ileostomy and colostomy, %1.61.50.60.5
Coronary artery bypass graft, %1.60.73.11.2
Percutaneous transluminal coronary angioplasty, %1.10.62.91.3
Knee replacement, %0.30.22.81.7
Open cholecystectomy, %1.21.11.71.2
Laminectomy, diskectomy, arthrodesis, %0.40.31.70.9
Carotid endarterectomy, %0.50.21.50.5
Little difference or variable by survivorship group
Transurethral prostatectomy, %1.51.63.22.8
Colon resection, %2.72.62.42.0
Excision, lysis peritoneal tissue, %1.92.01.71.5

*Procedures with a prevalence of 1.5% or greater among black or nonblack decedents or survivors in the sample.

Common* Intensive Procedure Use by Race and Survivor Status, 1989–1999 *Procedures with a prevalence of 1.5% or greater among black or nonblack decedents or survivors in the sample.

DISCUSSION

In this retrospective observational study using fee-for-service Medicare claims, we confirmed that black decedents were treated more intensively during hospitalization than nonblack decedents, whereas black survivors were treated less intensively. The greater use by blacks of life-sustaining treatments that predominate among decedents but lesser use of cardiovascular and orthopedic procedures that predominate among survivors explained observed racial differences in procedure use by survivorship cohort. The relatively smaller differences in end-of-life ICU use were largely at]tributable to confounding factors, including hospital choice. Among the strongest predictors of ICU and intensive procedure use was a hospital’s black census. Because the addition of black census to the hierarchical model decreased the size of the parameter estimate on black race, our study suggests that blacks’ hospital choice/access in part mediates the observed relationship between treatment intensity and race.41 These systematic differences in hospital-level practice patterns may reflect local patient and community factors (e.g., preferences) or provider factors (e.g., hospital resources, staffing and organization, or process and outcomes of communication and decision making). This is the first nationally representative study of fee-for-service Medicare beneficiaries to explore racial differences in ICU and intensive procedure use at the end of life. Most previous Medicare claims studies have focused on overall inpatient spending18,19 and none have used multilevel modeling to account for individual hospital effects. The study by Levinsky et al. that analyzed ICU and life-sustaining procedure use by age in California and Massachusetts only reported a demographic- and comorbidity-adjusted effect of black race on spending due to limited sample size of blacks.17 The multicenter Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment (SUPPORT) trial reported that black patients received less intervention than white patients among their sample of seriously ill adults that included younger patients and a mix of decedents and survivors.42 Both end-of-life health service use and racial differences in treatment receive a great deal of policy attention. End-of-life utilization attracts interest because per person expenditures for Medicare beneficiaries who die each year are 5 times higher than for survivors.43 Indeed, between 1985 and 1999 real spending on inpatient services for fee-for-service decedents increased 60%, to $23 billion in 1999.33 This increase in spending was neither driven by an increase in the population nor a significant increase in the age-adjusted likelihood of admission; instead, increases in per capita treatment intensity explained much of this expenditure growth. Racial differences in health service use attract interest because they may reflect differences in access or uptake that contribute to observed health disparities. Curiously, as reported by other authors, it is only at the end of life that blacks appear to have greater health services expenditures than nonblacks, particularly for inpatient services.17,19,44 In part, this is due to a higher likelihood of dying in the hospital.33 Findings from the present study additionally suggest that blacks’ greater use of intensive procedures, particularly highly remunerated (pre-2006) DRGs 475 and 483 associated with intubation/tracheostomy and mechanical ventilation >96 hours, help to explain this higher spending. The lower rates of cardiovascular and orthopedic procedures among blacks have been previously documented, and may be due to differences in physician referral8,11,45 or to differences in patients’ perceptions of outcomes and their attendant willingness to undergo surgery.46,47 Higher rates of intubation and tracheostomy and feeding tube placement are consistent with previous studies of hypothetical and real end-of-life decisions suggesting that blacks are less likely to forego life-sustaining treatments.20–24,48 Higher rates of vascular and hemodialysis access procedures and lower rates of surgical repair of hip fracture are likely attributable to the well-documented differences in burden of vascular disease, end-stage renal disease, and osteoporosis among blacks compared to nonblacks. The secular trends demonstrating a widening of the difference in end-of-life impatient treatment intensity between blacks and nonblacks in the latter half of the 1990s could be explained by progressively higher rates of hospice enrollment16, 32 and attendant limitation of ICU admission, mechanical ventilation, and enteral feeding among nonblacks during this period. Furthermore, the minority of U.S. hospitals that care for most of America’s black patients are more likely to have medical ICUs39; other structures and processes related to treatment intensity also likely differ. Our study is subject to several limitations. First, our study relies upon the frequently used “look back” approach to understand how dying patients are treated, though patients may not have been known to be “dying” at the time treatments were initiated.49,50 Additionally, we focused only on inpatient services and did not study trends in outpatient or postacute treatment intensity because the hospital remains the site of the most expensive and technologically intensive medical care. Our measures of utilization may have underestimated treatment intensity by calculating the receipt of one or more ICU admission or procedure over 12 months rather than the mean number of admissions and procedures. Our findings for the terminal hospitalization and for total expenditures which more closely track service volume (not reported) followed the same patterns by race and suggest that our measure of utilization does not confound the observations. Despite statistical adjustment for measured confounders, the large differences in characteristics of black and nonblack patients raise the possibility that differences are attributable to unmeasured confounders. Finally, the observations are based only upon fee-for-service Medicare and cannot be generalized to those in managed “risk plans.” Our study does not offer any information about patient preferences or the appropriateness of end-of-life treatment intensity. It does, however, raise provocative questions about differences in practice patterns at hospitals caring for black patients that deserve further study.
  47 in total

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Journal:  Med Care       Date:  2002-01       Impact factor: 2.983

4.  Factors associated with withdrawal of mechanical ventilation in a neurology/neurosurgery intensive care unit.

Authors:  M N Diringer; D F Edwards; V Aiyagari; H Hollingsworth
Journal:  Crit Care Med       Date:  2001-09       Impact factor: 7.598

5.  Physician referral patterns and race differences in receipt of coronary angiography.

Authors:  Thomas A LaVeist; Athol Morgan; Melanie Arthur; Stephen Plantholt; Michael Rubinstein
Journal:  Health Serv Res       Date:  2002-08       Impact factor: 3.402

6.  Differences in Medicare expenditures during the last 3 years of life.

Authors:  Lisa R Shugarman; Diane E Campbell; Chloe E Bird; Jon Gabel; Thomas A Louis; Joanne Lynn
Journal:  J Gen Intern Med       Date:  2004-02       Impact factor: 5.128

7.  Differences in expectations of outcome mediate African American/white patient differences in "willingness" to consider joint replacement.

Authors:  Said A Ibrahim; Laura A Siminoff; Christopher J Burant; C Kent Kwoh
Journal:  Arthritis Rheum       Date:  2002-09

8.  Racial/ethnic variations in physician recommendations for cardiac revascularization.

Authors:  Said A Ibrahim; Jeff Whittle; Bevanne Bean-Mayberry; Mary E Kelley; Chester Good; Joseph Conigliaro
Journal:  Am J Public Health       Date:  2003-10       Impact factor: 9.308

9.  Racial, ethnic, and geographic disparities in rates of knee arthroplasty among Medicare patients.

Authors:  Jonathan Skinner; James N Weinstein; Scott M Sporer; John E Wennberg
Journal:  N Engl J Med       Date:  2003-10-02       Impact factor: 91.245

10.  HCFA's racial and ethnic data: current accuracy and recent improvements.

Authors:  S L Arday; D R Arday; S Monroe; J Zhang
Journal:  Health Care Financ Rev       Date:  2000
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2.  Long-term acute care hospital utilization after critical illness.

Authors:  Jeremy M Kahn; Nicole M Benson; Dina Appleby; Shannon S Carson; Theodore J Iwashyna
Journal:  JAMA       Date:  2010-06-09       Impact factor: 56.272

3.  Determinants of treatment intensity for patients with serious illness: a new conceptual framework.

Authors:  Amy S Kelley; R Sean Morrison; Neil S Wenger; Susan L Ettner; Catherine A Sarkisian
Journal:  J Palliat Med       Date:  2010-07       Impact factor: 2.947

4.  Racial differences in mortality among patients with acute ischemic stroke: an observational study.

Authors:  Ying Xian; Robert G Holloway; Katia Noyes; Manish N Shah; Bruce Friedman
Journal:  Ann Intern Med       Date:  2011-02-01       Impact factor: 25.391

5.  Clinical trial participation among ethnic/racial minority and majority patients with advanced cancer: what factors most influence enrollment?

Authors:  Rachel Jimenez; Baohui Zhang; Steven Joffe; Matthew Nilsson; Lorna Rivera; Jan Mutchler; Christopher Lathan; M Elizabeth Paulk; Holly G Prigerson
Journal:  J Palliat Med       Date:  2013-02-05       Impact factor: 2.947

6.  The Influence of Race/Ethnicity and Education on Family Ratings of the Quality of Dying in the ICU.

Authors:  Janet J Lee; Ann C Long; J Randall Curtis; Ruth A Engelberg
Journal:  J Pain Symptom Manage       Date:  2015-09-16       Impact factor: 3.612

7.  Variation in decisions to forgo life-sustaining therapies in US ICUs.

Authors:  Caroline M Quill; Sarah J Ratcliffe; Michael O Harhay; Scott D Halpern
Journal:  Chest       Date:  2014-09       Impact factor: 9.410

8.  Racial disparities in outcomes following PEA and asystole in-hospital cardiac arrests.

Authors:  Rabia R Razi; Matthew M Churpek; Trevor C Yuen; Monica E Peek; Thomas Fisher; Dana P Edelson
Journal:  Resuscitation       Date:  2014-12-09       Impact factor: 5.262

9.  Do hospitals provide lower quality of care to black patients for pneumonia?

Authors:  Florian B Mayr; Sachin Yende; Gina D'Angelo; Amber E Barnato; John A Kellum; Lisa Weissfeld; Donald M Yealy; Michael C Reade; Eric B Milbrandt; Derek C Angus
Journal:  Crit Care Med       Date:  2010-03       Impact factor: 7.598

10.  Geographic variation in black-white differences in end-of-life care for patients with ESRD.

Authors:  Bernadette A Thomas; Rudolph A Rodriguez; Edward J Boyko; Cassianne Robinson-Cohen; Annette L Fitzpatrick; Ann M O'Hare
Journal:  Clin J Am Soc Nephrol       Date:  2013-04-11       Impact factor: 8.237

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