This article has Open Peer Review reports available.
Disparities of Care for African-Americans and Caucasians with Community-Acquired Pneumonia: A Retrospective Cohort Study
© Frei et al; licensee BioMed Central Ltd. 2010
Received: 3 December 2009
Accepted: 27 May 2010
Published: 27 May 2010
African-Americans admitted to U.S. hospitals with community-acquired pneumonia (CAP) are more likely than Caucasians to experience prolonged hospital length of stay (LOS), possibly due to either differential treatment decisions or patient characteristics.
We assessed associations between race and outcomes (Intensive Care Unit [ICU] variables, LOS, 30-day mortality) for African-American or Caucasian patients over 65 years hospitalized in the Veterans Health Administration (VHA) with CAP (2002-2007). Patients admitted to the ICU were analyzed separately from those not admitted to the ICU. VHA patients who died within 30 days of discharge were excluded from all LOS analyses. We used chi-square and Fisher's exact statistics to compare dichotomous variables, the Wilcoxon Rank Sum test to compare age by race, and Cox Proportional Hazards Regression to analyze hospital LOS. We used separate generalized linear mixed-effect models, with admitting hospital as a random effect, to examine associations between patient race and the receipt of guideline-concordant antibiotics, ICU admission, use of mechanical ventilation, use of vasopressors, LOS, and 30-day mortality. We defined statistical significance as a two-tailed p ≤ 0.0001.
Of 40,878 patients, African-Americans (n = 4,936) were less likely to be married and more likely to have a substance use disorder, neoplastic disease, renal disease, or diabetes compared to Caucasians. African-Americans and Caucasians were equally likely to receive guideline-concordant antibiotics (92% versus 93%, adjusted OR = 0.99; 95% CI = 0.81 to 1.20) and experienced similar 30-day mortality when treated in medical wards (adjusted OR = 0.98; 95% CI = 0.87 to 1.10). African-Americans had a shorter adjusted hospital LOS (adjusted HR = 0.95; 95% CI = 0.92 to 0.98). When admitted to the ICU, African Americans were as likely as Caucasians to receive guideline-concordant antibiotics (76% versus 78%, adjusted OR = 0.99; 95% CI = 0.81 to 1.20), but experienced lower 30-day mortality (adjusted OR = 0.82; 95% CI = 0.68 to 0.99) and shorter hospital LOS (adjusted HR = 0.84; 95% CI = 0.76 to 0.93).
Elderly African-American CAP patients experienced a survival advantage (i.e., lower 30-day mortality) in the ICU compared to Caucasians and shorter hospital LOS in both medical wards and ICUs, after adjusting for numerous baseline differences in patient characteristics. There were no racial differences in receipt of guideline-concordant antibiotic therapies.
Prior studies have documented health disparities between African-Americans and Caucasians who present to U.S. hospitals with common infectious diseases [1–4]. Health policies, research initiatives, and targeted educational campaigns have sought to bridge this quality chasm [5–7].
In the treatment of community-acquired pneumonia (CAP), several initial processes of care have been associated with improved survival, including the timely delivery and appropriate selection of antibiotic therapy, and acquisition of blood cultures prior to initiating antibiotic therapy [8–11]. These processes have been recommended by professional medical societies, clinical practice guidelines, hospital accreditation commissions, and federal agencies ; however, whether such processes of care are performed in an equitable manner for patients of all races is unclear. While some studies have demonstrated African-American patients are less likely to receive timely initiation of antibiotic therapy, diagnostic bronchoscopy, smoking cessation counseling, and pneumococcal and influenza vaccinations [1, 3, 13, 14], the available evidence suggests no difference between African-Americans and Caucasians in the likelihood of receiving guideline-concordant antibiotic therapy, blood cultures, or assessment of arterial oxygenation [3, 14].
Despite the observed racial disparities in several evidence-based processes of care for CAP, most Veteran and civilian studies to date have found equal or lower adjusted mortality rates for African-Americans compared to Caucasians [15–18], with few exceptions . Other evidence suggests African-Americans admitted to U.S. hospitals with CAP are more likely to experience prolonged hospital stays [13, 19]. It is unclear whether differences in processes of care, hospital length of stay (LOS) and mortality are independently associated with race or due to differences in baseline patient characteristics that vary by race.
The Veterans Health Administration (VHA), the largest vertically integrated healthcare system in the United States, has been at the forefront of a national quality movement to provide high quality and equitable healthcare for all VHA patients. Therefore, we sought to determine whether there were racial differences in processes of care, hospital LOS, or 30-day mortality for African-American and Caucasian VHA patients with CAP, after adjusting for baseline differences in patient characteristics.
This retrospective, cohort study of hospitalized patients with CAP is a secondary analysis of data collected as part of a project to assess the association of treatment with statins on clinical outcomes (e.g., mortality) of patients hospitalized with CAP and/or sepsis in the Department of Veterans Affairs Health Care System (National Institutes of Health/National Institute of Nursing Research Grant Number R01NR010828). We used administrative data from the VHA to examine trends in pneumonia care and mortality. The VHA databases are repositories of clinical data from more than 150 VHA hospitals and 850 VHA clinics . The Institutional Review Board of the University of Texas Health Science Center at San Antonio and the South Texas Veterans Health Care System Research and Development committee approved this study.
We included VHA patients 65 years and older with a diagnosis of pneumonia in fiscal years 2002-2007. We used previously validated ICD-9 codes (480.0-483.99 or 485-487) for pneumonia to identify potential cases . We excluded patients with a history of HIV/AIDS because these patients might be immunocompromised. We excluded those patients admitted to the hospital or a nursing home within 90 days prior to the CAP admission because these would be considered to be health care associated cases. In addition, we excluded those without antibiotic therapy within 48 hours of admission because these might have had hospital acquired pneumonia. Finally, we excluded those patients with non-veteran status or of races other than African-American or Caucasian.
We recorded the patient's age, sex, and marital status (married versus unmarried) at the time of admission. We used VHA Priority Group (PG) as a surrogate for socioeconomic status and disease severity, a previously validated approach [22–24]. Priority Group is used within the VHA to determine a Veteran's eligibility for health benefits and exemption from copayments for pharmacy and health care. When assigning the Veterans to these Priority Groups, the VHA takes into consideration the veteran's physical and mental health status, service history (e.g., Prisoner of War or Purple Heart recipient), and how related the Veteran's illness is to their military service (i.e., "service-connected" disability). Priority Group 1 veterans are exempt from all copayments; Priority Group 5 veterans are eligible for care based on their low income. VHA Priority Group 5 is specifically related to very low income, but a veteran with a higher priority (lower PG, i.e., 1-4) could also be low income. In fact, this is often the case. Priority Group 1 veterans are 50%-100% disabled by a service-connected condition, and thus may be unable to earn a good living (if physically disabled) or form supportive social contacts (if psychiatrically disabled). Catastrophic disablement (PG 4) is independently associated with low income in the U.S. veteran population.
We defined 19 comorbid illnesses using ICD-9 codes in accordance with the Charlson comorbidity scoring system , using ICD-9 codes from prior outpatient and inpatient care . We defined alcohol abuse or dependence (ICD-9 codes 291, 303, and 305.0) and drug abuse or dependence (codes 292, 304, 305.2, and 305.9) . Because lung disease is correlated with smoking status, we incorporated several approaches to a smoking indicator, based on prior research with VHA data . Smoking status recorded in the electronic medical record is not included in administrative data extracts, therefore we created an indicator that was true whenever any of the following was found: (a) diagnosis of nicotine dependence (ICD-9 codes 305.1, V15.82), (b) outpatient prescription for smoking cessation products (Zyban, Chantix, varenicline, Nicotrol, nicotine replacement), (c) outpatient visit to smoking cessation clinic, (d) CPT treatment code for smoking cessation (99406, 99407). This measure is expected to undercount patients with a smoking history. VHA enrollees smoke more than the US population per age- and sex-adjusted rates , but smoking rates also drop with age and deteriorating health. We also defined organ failure (single or multiple) and sepsis based upon the presence of one or more previously established ICD-9 codes for these conditions [6, 7].
Missing data on VHA measures of health services utilization is rare in the administrative data extracts of the electronic medical record system. However, while VHA race data have been validated especially for Caucasian and African-American patients, [30, 31] missing data on race/ethnicity is a persistent problem. In VHA databases through 2002 (inpatient data) or 2003 (outpatient data), race/ethnicity was recorded by a clinical or clerical observer in inpatient records and was rarely missing, while outpatient records were characterized by higher rates of missing data. A change in policy was then effected to capture self-reported race, leading to high rates of missing data (up to 60% initially). To improve race/ethnicity data, we used all available years of data. Missing-on-race has been associated with increased survival in VHA cohorts defined by outpatient use , no doubt reflecting healthy users' lack of inpatient services where race was more likely to be recorded.
Antibiotic Prescribing and Other Pneumonia Processes of Care
We evaluated antibiotics received within the first 48 hours of hospital admission per joint American Thoracic Society (ATS) and Infectious Diseases Society of America (IDSA) CAP medical practice guidelines . We defined the following antibiotics as guideline-concordant for medical ward patients: 1) β-lactam plus doxycycline, 2) β-lactam plus macrolide, or 3) antipneumococcal fluoroquinolone. We defined guideline-concordant for patients admitted to the intensive care unit (ICU) as: 1) β-lactam plus macrolide, 2) β-lactam plus antipneumococcal fluoroquinolone, 3) antipneumococcal fluoroquinolone plus clindamycin, 4) antipneumococcal fluoroquinolone plus vancomycin, or 5) antipneumococcal fluoroquinolone plus aminoglycoside. β-lactams included ampicillin, ampicillin-sulbactam, cefepime, cefotaxime, cefpodoxime, ceftazidime, ceftriaxone, ertapenem, imipenem-cilastatin, meropenem, piperacillin-tazobactam, and ticarcillin. Antipneumococcal fluoroquinolones included ciprofloxacin, gatifloxacin, gemifloxacin, grepafloxacin, levofloxacin, moxifloxacin, sparfloxacin, and trovafloxacin. Macrolides included azithromycin, clarithromycin, and erythromycin. Any of these guideline-concordant therapies could have had adjunctive linezolid or vancomycin. These antibiotic recommendations for ward and ICU patients have remained consistent through several versions of the guidelines, including those published by IDSA in 1998, 2003, and 2007 and those published by ATS in 1995 and 2007. Thus, no matter which version of the guidelines was followed, these patients managed between 2002 and 2007 should have received the therapies in question.
Additional processes of care included ICU admission, vasopressor use, and mechanical ventilation. We defined mechanical ventilation using ICD-9A code 96.7, recorded during an ICU stay. We defined vasopressor and inotrope use based upon the receipt of any of the following medications during the hospital stay: dobutamine, dopamine, epinephrine, isoproterenol, metaraminol, norepinephrine, phenylephrine, or vasopressin.
Length of Hospital Stay and 30-Day Mortality
We abstracted the admission and discharge dates for each stay, then defined hospital LOS as the date of discharge minus the date of admission plus one day for the overall hospitalization. The VHA vital status file provided date of death to assess 30-day mortality. The 30-day mortality metric includes those patients who died in the hospital as well as those who died outside the hospital. We chose this follow-up duration because previous research demonstrated that 30-day mortality is primarily due to underlying illness with pneumonia, whereas 90-day mortality is generally attributable to other comorbid conditions . Previous research has demonstrated that this methodology has a sensitivity of approximately 98% for detecting VHA patients' deaths and is as accurate as the National Death Index . In fact, National Death Index data were incorporated into the VHA's ascertainment of death .
We conducted all analyses using JMP 7.0, SAS 9.2 (SAS Corp., Cary, NC), and Stata 10 (StataCorp, College Station, TX). Due to the large sample size, we defined statistical significance as a two-tailed p ≤ 0.0001. Bivariate statistics (chi-square and Student's t-test) compared patient demographics, comorbid conditions, processes of care, LOS, and 30-day mortality for African-American and Caucasian patients with CAP. When assessing study endpoints, patients admitted to the ICU were analyzed separately from those not admitted to the ICU. VHA patients who died within 30 days of discharge were excluded from all LOS analyses. This was done because patients who died rapidly experienced abbreviated lengths of hospital stay. In other words, the length of stay for those very severe patients is artificially short because the patients expired before they could complete an entire episode of care. This approach (i.e., censoring those patients who died from the LOS analyses) is consistent with numerous other peer reviewed publications [35–38].
Comparison of baseline patient characteristics for African-American and Caucasian patients admitted to VHA Hospitals with CAP (n = 40,878)*
(n = 40,878)
(n = 4,936)
(n = 35,942)
Age (yrs), median (interquartile range)
Priority group (PG), %
Comorbid conditions, %
Chronic obstructive pulmonary disease
Alcohol abuse or dependence
Substance abuse or dependence
Organ failure and sepsis, %†
Any organ failure
Multiple organ failure
The 18 variables listed in Table 1 were considered a priori to be clinically important, and we included them as covariates in each of the multivariable models. The bulk of these variables were chosen because they were key components of well-validated scoring systems that predict patient mortality among pneumonia patients (e.g., age, sex, heart failure, cerebrovascular disease, liver disease, renal disease, neoplastic disease) [39, 40]. Other variables were included because we believed they might impact either patient mortality or hospital length of stay (e.g., marital status, priority group [a surrogate for socioeconomic status], chronic obstructive pulmonary disease, tobacco use, alcohol abuse or dependence, substance abuse or dependence, any organ failure, multiple organ failure, or sepsis).
Overall, 4,936 African-American and 35,942 Caucasian VHA patients met all eligibility criteria (n = 40,878). The study population had a median (interquartile range) age of 78 (72-83) years; 98% were male and 53% were married. History of tobacco dependence (37%), chronic obstructive pulmonary disease (51%), diabetes (30%), heart failure (22%), neoplastic disease (21%), and cerebrovascular disease (16%) were common. One-quarter (25%) had organ failure while 4% had sepsis, and 12% were admitted to the ICU at some point during hospitalization.
Baseline Characteristics by Patient Race
As shown in Table 1, compared to Caucasians, a greater proportion of African-American VHA patients were single (57% versus 45%), had a higher prevalence of substance abuse (4% versus 3%), neoplastic disease (24% versus 20%), renal disease (16% versus 10%), and diabetes (32% versus 30%). In contrast, Caucasian VHA patients were more likely to have a history of myocardial infarction (5% versus 4%), heart failure (22% versus 19%), and chronic obstructive pulmonary disease (53% versus 39%). Socioeconomic status, as measured by priority group, also differed significantly between the two cohorts.
Antibiotic Prescribing and Intensive Care Measures by Race
Antibiotic prescribing, Hospital LOS, and 30-day mortality for African-American and Caucasian VHA patients with CAP managed in the medical wards (non-ICU patients) (n = 35,706)*
LOS, median (interquartile range)‡
30-day mortality, %
Multivariable analyses for antibiotic prescribing, Hospital LOS, and 30-day mortality for African-American and Caucasian VHA patients with CAP managed in the medical wards (non-ICU patients) (n = 35,706)*
HR/OR (95% CI)
Intensive Care Units
Antibiotic prescribing, intensive care measures, Hospital LOS, and 30-day mortality for African-American and Caucasian VHA patients with CAP admitted to the intensive care units (ICU patients) (n = 5,172)*
Intensive care measures, %
Intensive care unit admission
LOS, median (interquartile range)‡
30-day mortality, %
Multivariable analyses for antibiotic prescribing, intensive care measures, Hospital LOS, and 30-day mortality for African-American and Caucasian VHA patients with CAP admitted to the intensive care units (ICU patients) (n = 5,172)*
HR/OR (95% CI)
Intensive care measures
30-day Mortality and Hospital Length of Stay by Patient Race
African-American and Caucasian patients managed on medical wards experienced similar adjusted 30-day mortality (adjusted OR = 0.98; 95% CI = 0.87 to 1.10). African-American patients had a shorter adjusted hospital LOS (adjusted HR = 0.95; 95% CI = 0.92 to 0.98) (Tables 2 and 3).
Intensive Care Units
African-American patients admitted to the VHA ICUs experienced lesser adjusted 30-day mortality (adjusted OR = 0.82; 95% CI = 0.68 to 0.99) and shorter adjusted hospital LOS (adjusted HR = 0.84; 95% CI = 0.76 to 0.93) compared to Caucasian patients admitted to VHA ICUs (Tables 4 and 5).
Our principle finding was that African-Americans admitted to VHA hospitals for CAP experienced similar or lower adjusted 30-day mortality compared to Caucasians admitted to VHA hospitals for CAP. Given the size, scope, and inclusion of important covariates, this study is an important addition to the literature. Our analysis of over 40,000 patients from more than 150 VHA hospitals from across the U.S. is one of the largest of its kind. Our study provides a contemporary assessment of guideline-concordant prescribing in both VHA hospital wards and ICUs. Our analysis incorporates patient and hospital characteristics that could be predictive of patient outcome, including patient medical history, social history, socioeconomic status, disease complications, and treatment facility. In so doing, this study provides one of the most robust assessments of health disparities in the U.S. Veteran and civilian literature. The absence of a disadvantage for African-Americans suggests African-American and Caucasian patients admitted to VHA hospitals have equal access to care and receive inpatient treatment of similar quality. Equal access to care is a central goal of health care, and this study brings merit to the initiatives of clinicians striving to care for all patients with the highest standards.
African-American patients admitted to VHA ICUs experienced a survival advantage (i.e., lower 30-day mortality) compared to Caucasian patients admitted to VHA ICUs. While this survival advantage has been documented in other studies [15–18], there is no clear explanation for it. Possibly, the Caucasian patients admitted to VHA ICUs were more severely ill than the African-American patients admitted to VHA ICUs; however, this seems unlikely given that both cohorts had similar rates of ICU admission and vasopressor use and mechanical ventilation were more common among African-Americans. While our study lacked some of the clinical variables required to apply prognostic scoring tools (e.g., PSI, CURB-65, and APACHE-II) [39, 40], we included several key covariates including demographic factors (i.e., age, gender) and all five comorbidities (i.e., neoplastic disease, liver disease, heart failure, cerebrovascular disease, and renal disease) used in the PSI score. Thus, our study was well suited to capture/control for the known effects of comorbid illness on mortality for CAP patients. Nevertheless, it is possible that the difference in mortality was due to some unmeasured comorbidity (i.e., receipt of active chemotherapy, immunosuppressive illness, etc) that may have been more prevalent or more problematic for Caucasian patients admitted to the ICU.
The difference in mortality could also be due to differences in advanced directives between the two cohorts. Caucasian patients admitted to VHA hospitals are more likely to have "do not intubate" or "do not resuscitate" orders on file as compared to African-American patients . If this is indeed true, then patients with advanced directives may receive less aggressive therapy. This may partially explain why the African-American patients in our study had higher rates of vasopressor use and mechanical ventilation than the Caucasian patients.
We acknowledge the growing body of literature on frailty [42–44], and recognize the mortality difference might be attributable to differences in frailty between African-American and Caucasian patients admitted to VHA ICUs. The Caucasian patients could be more frail due to a variety of comorbid conditions (i.e., osteoporosis, weight loss or low BMI, cellulitis or decubitus ulcers, fluid electrolyte imbalances, anemia, age >80, syncope, nursing home residence). Likewise, a growing body of literature suggests the importance of functional status, particularly among nursing home patients admitted with pneumonia [45–51]. Poor functional status may contribute to patient mortality and an increased risk of drug resistant pathogens. Our study did not include any measures of frailty or functional status.
In addition to differences in mortality, Caucasian patients in our study remained hospitalized longer than African-American patients. This was the case for both the ward and ICU subgroups. This finding contradicts previous studies reporting longer stays for African-Americans admitted to U.S. hospitals with CAP [13, 19]. The previous findings were observed in civilian hospitals and Bennett et al point out that the correlations reported were almost entirely attributable to differences in insurance status and hospital characteristics between racial groups. We did account for priority group and admitting hospital in our multivariable, generalized linear mixed-effect models. We also accounted for 18 other baseline patient characteristics, including several that were significantly different between the two cohorts: marital status, myocardial infarction, heart failure, chronic obstructive pulmonary disease, diabetes, renal disease, neoplastic disease, tobacco use, and substance abuse. Nevertheless, it is possible that observed differences in hospital LOS were due to other unmeasured variables.
When differences in hospital LOS are observed between two groups, it is important to consider if the group with the shorter hospital LOS experiences any clinical detriment for having been discharged sooner. This could be evaluated by considering hospital readmission rates or mortality post hospital discharge. We analyzed 30-day mortality and found that African-American and Caucasian patients discharged from VHA hospitals experienced similar 30-day mortality; we can therefore conclude that the African-American patients admitted to VHA ICUs did not experience any additional clinical detriment for having been discharged from the hospital sooner than their Caucasian counterparts.
African-American and Caucasian VHA patients in our study were equally likely to receive guideline-concordant antibiotic therapy in ward and ICU settings, a finding consistent with a previous study . This finding is paramount since numerous studies have previously correlated guideline-concordant prescribing with improved patient survival [10, 52, 53]. The guidelines recommend slightly different antibiotic regimens in ward and ICU settings, so it is not surprising that the guideline adherence rates differ somewhat in these two settings. In addition, the recommendations for ward patients have been validated to a greater extent than the recommendations for ICU patients [38, 54].
We did not evaluate individual guideline-concordant therapies, nor did we attempt to correlate certain guideline-concordant therapies with patient race. We recognize that selection from among the various guideline-concordant therapies must be somewhat customized on the basis of patient history, risk factors for multi-drug resistant pathogens, prior antibiotic exposure, and patient comorbidities. National pneumonia guidelines encourage prescribers to consider these things when selecting empiric antibiotic therapies . Since African-American and Caucasian patients differed on several baseline characteristics and comorbidities, we would expect to see slight variations in prescribing within the guideline-concordant therapies. A few of those divergent baseline characteristics are described here along with possible implications for empiric antibiotic therapy.
African-American VHA patients were more likely to have a history of substance abuse or dependence, neoplastic disease, renal disease, and diabetes. In contrast, Caucasian VHA patients were more likely to use tobacco, or have a history of heart failure or chronic obstructive pulmonary disease. These observed differences in comorbidities are consistent with other studies in various infectious diseases, which demonstrate that African-Americans often present to hospitals with more comorbidities compared to Caucasians [3, 7, 19, 55]. Patients with diabetes or renal disease may be less likely to receive fluoroquinolone antibiotics to avoid accumulation in renal disease or a perpetuation of glycemic abnormalities. On the other hand, if patients with renal disease receive antibiotics that are excreted by the kidneys (i.e., fluoroquinolones or β-lactams), then they get greater antibiotic exposure, and possibly better efficacy, from the same dose due to their renal compromise. This may impact hospital LOS as recent data suggest certain guideline-supported therapies are associated with shorter hospital stays .
Past studies have demonstrated that African-American patients are less likely to receive timely antibiotic therapy and diagnostic bronchoscopy [1, 3, 13]. We did not capture or evaluate antibiotic timing in our study. We also did not evaluate bronchoscopy; however, we did quantify and compare use of vasopressors and mechanical ventilation between African-American and Caucasian cohorts. We found that African-Americans were more likely to receive these intensive therapies as compared to Caucasians. We did not evaluate acquisition of blood cultures or oxygenation assessment; two process measures previously found to be similar for African-American and Caucasian VHA patients .
Our study has limitations that are inherent to all retrospective cohort studies. The results attributed to one explanatory variable could be the result of some unmeasured variable. Any relationships uncovered cannot be definitively considered causative.
The VHA patients in this study are not necessarily representative of all U.S. patients or even all U.S. veterans . The VHA caters to the most disadvantaged veterans and VHA patients are, on average, poorer and sicker than U.S. residents or U.S. veterans . Those with highly service-connected disabilities also receive entry into the VHA system preferentially, and service-connected disability of 50% or more (VA Priority Group 1) garners care without copayments. Lower priority groups (PG 1-6) generally incur copayments for medication prescription, and the lowest priority VA patients (PG 7-8) also have copayments for care. Also, it is certainly possible that African-Americans managed in the VHA system are different from African-Americans managed in other systems.
Additionally, this study was potentially limited by the fact that the investigators were unable to fully exclude VHA patients with healthcare-associated pneumonia (HCAP); however, the stringent exclusion criteria should have minimized these patients. For instance, VHA patients admitted to the hospital or a nursing home within the 90 days prior to the index admission for CAP were excluded. Prior studies have demonstrated that these two exclusions account for a large proportion of HCAP patients [58, 59]. As with any study with non-prospective data collection, we are unable to fully exclude the possibility of missing data. However, VA data have been demonstrated to have excellent validity and reliability . Finally, while errors occur in all databases, as well as in chart data, the VHA databases have been shown to be extraordinarily valid with respect to coding of diagnoses especially on inpatient encounters .
Elderly African-American CAP patients experienced a survival advantage (i.e., lower 30-day mortality) in the ICU compared to Caucasians and shorter hospital LOS in both medical wards and ICUs, after adjusting for numerous baseline differences in patient characteristics. There were no racial differences in receipt of guideline-concordant antibiotic therapies.
The authors would like to thank Christine Oramasionwu and Warunee Srisupha-Olarn for their editorial review of this manuscript. The project described herein was supported by Grant Number R01NR010828 from the National Institute of Nursing Research. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Nursing Research or the National Institutes of Health. This material is the result of work supported with resources and the use of facilities at the South Texas Veterans Health Care System and The University of Texas at Austin. Dr. Frei is supported by a Loan Repayment award from the National Institute of Allergy and Infectious Diseases of the National Institutes of Health, salary support from The University of Texas at Austin College of Pharmacy, and research support from AstraZeneca, Élan, and Ortho-McNeil Janssen. Dr Copeland is funded by Merit Review Entry Program grant MRP-05-145 from the VA Health Services Research and Development program. Dr. Restrepo is supported by a National Institutes of Health Grant KL2 RR025766, salary support by the South Texas Veterans Health Care System Audie L. Murphy Division and The University of Texas Health Science Center at San Antonio. The funding agencies had no role in conducting the study, or role in the preparation, review, or approval of the manuscript. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs. This manuscript was presented, in part, at the American Thoracic Society International Conference, May 15-20, 2009, San Diego, CA.
- Fine JM, Fine MJ, Galusha D, Petrillo M, Meehan TP: Patient and hospital characteristics associated with recommended processes of care for elderly patients hospitalized with pneumonia: results from the Medicare quality indicator system pneumonia module. Arch Intern Med. 2002, 162 (7): 827-833. 10.1001/archinte.162.7.827.View ArticlePubMedGoogle Scholar
- Keppel KG: Ten largest racial and ethnic health disparities in the United States based on Healthy People 2010 Objectives. Am J Epidemiol. 2007, 166 (1): 97-103. 10.1093/aje/kwm044.View ArticlePubMedGoogle Scholar
- Mortensen EM, Cornell J, Whittle J: Racial variations in processes of care for patients with community-acquired pneumonia. BMC Health Serv Res. 2004, 4 (1): 20-10.1186/1472-6963-4-20.View ArticlePubMedPubMed CentralGoogle Scholar
- Richardus , Kunst AE: Black-white differences in infectious disease mortality in the United States. American Journal of Public Health. 2001, 91 (8): 1251-1253. 10.2105/AJPH.91.8.1251.View ArticlePubMedPubMed CentralGoogle Scholar
- Seid M, Varni JW, Cummings L, Schonlau M: The impact of realized access to care on health-related quality of life: a two-year prospective cohort study of children in the California State Children's Health Insurance Program. J Pediatr. 2006, 149 (3): 354-361. 10.1016/j.jpeds.2006.04.024.View ArticlePubMedGoogle Scholar
- Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR: Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001, 29 (7): 1303-1310. 10.1097/00003246-200107000-00002.View ArticlePubMedGoogle Scholar
- Martin GS, Mannino DM, Eaton S, Moss M: The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med. 2003, 348 (16): 1546-1554. 10.1056/NEJMoa022139.View ArticlePubMedGoogle Scholar
- Houck PM, Bratzler DW, Nsa W, Ma A, Bartlett JG: Timing of antibiotic administration and outcomes for Medicare patients hospitalized with community-acquired pneumonia. Arch Intern Med. 2004, 164 (6): 637-644. 10.1001/archinte.164.6.637.View ArticlePubMedGoogle Scholar
- Niederman MS, Mandell LA, Anzueto A, Bass JB, Broughton WA, Campbell GD, Dean N, File T, Fine MJ, Gross PA, Martinez F, Marrie TJ, Plouffe JF, Ramirez J, Sarosi GA, Torres A, Wilson R, Yu V: Guidelines for the management of adults with community-acquired pneumonia. Diagnosis, assessment of severity, antimicrobial therapy, and prevention. Am J Respir Crit Care Med. 2001, 163 (7): 1730-1754.View ArticlePubMedGoogle Scholar
- Gleason PP, Meehan TP, Fine JM, Galusha DH, Fine MJ: Associations between initial antimicrobial therapy and medical outcomes for hospitalized elderly patients with pneumonia. Arch Intern Med. 1999, 159 (21): 2562-2572. 10.1001/archinte.159.21.2562.View ArticlePubMedGoogle Scholar
- Kahn KL, Rogers WH, Rubenstein LV, Sherwood MJ, Reinisch EJ, Keeler EB, Draper D, Kosecoff J, Brook RH: Measuring quality of care with explicit process criteria before and after implementation of the DRG-based prospective payment system. JAMA. 1990, 264 (15): 1969-1973. 10.1001/jama.264.15.1969.View ArticlePubMedGoogle Scholar
- Mandell LA, Wunderink RG, Anzueto A, Bartlett JG, Campbell GD, Dean NC, Dowell SF, File TM, Musher DM, Niederman MS, Torres A, Whitney CG: Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis. 2007, 44 (Suppl 2): S27-72. 10.1086/511159.View ArticlePubMedGoogle Scholar
- Bennett CL, Horner RD, Weinstein RA, Dickinson GM, DeHovitz JA, Cohn SE, Kessler HA, Jacobson J, Goetz MB, Simberkoff M, Pitrak D, George L, Gilman SC, Shapiro MF: Racial differences in care among hospitalized patients with Pneumocystis carinii pneumonia in Chicago, New York, Los Angeles, Miami, and Raleigh-Durham. Arch Intern Med. 1995, 155 (15): 1586-1592. 10.1001/archinte.155.15.1586.View ArticlePubMedGoogle Scholar
- Hausmann LR, Ibrahim SA, Mehrotra A, Nsa W, Bratzler DW, Mor MK, Fine MJ: Racial and ethnic disparities in pneumonia treatment and mortality. Med Care. 2009, 47 (9): 1009-1017. 10.1097/MLR.0b013e3181a80fdc.View ArticlePubMedGoogle Scholar
- Jha AK, Shlipak MG, Hosmer W, Frances CD, Browner WS: Racial differences in mortality among men hospitalized in the Veterans Affairs health care system. JAMA. 2001, 285 (3): 297-303. 10.1001/jama.285.3.297.View ArticlePubMedGoogle Scholar
- Polsky D, Jha AK, Lave J, Pauly MV, Cen L, Klusaritz H, Chen Z, Volpp KG: Short- and long-term mortality after an acute illness for elderly whites and blacks. Health Serv Res. 2008, 43 (4): 1388-1402. 10.1111/j.1475-6773.2008.00837.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Volpp KG, Stone R, Lave JR, Jha AK, Pauly M, Klusaritz H, Chen H, Cen L, Brucker N, Polsky D: Is thirty-day hospital mortality really lower for black veterans compared with white veterans?. Health Serv Res. 2007, 42 (4): 1613-1631. 10.1111/j.1475-6773.2006.00688.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Sarrazin MV, Cannon KT, Rosenthal GE, Kaldjian LC: Racial differences in mortality among veterans hospitalized for exacerbation of chronic obstructive pulmonary disease. J Natl Med Assoc. 2009, 101 (7): 656-662.View ArticlePubMedGoogle Scholar
- Frei CR, Burgess DS: Cost-effectiveness of 4 empiric antimicrobial regimens in patients with community-acquired pneumonia. Formulary. 2005, 1-7.Google Scholar
- Brown SH, Lincoln MJ, Groen PJ, Kolodner RM: VistA--U.S. Department of Veterans Affairs national-scale HIS. Int J Med Inform. 2003, 69 (2-3): 135-156. 10.1016/S1386-5056(02)00131-4.View ArticlePubMedGoogle Scholar
- Meehan TP, Fine MJ, Krumholz HM, Scinto JD, Galusha DH, Mockalis JT, Weber GF, Petrillo MK, Houck PM, Fine JM: Quality of care, process, and outcomes in elderly patients with pneumonia. JAMA. 1997, 278 (23): 2080-2084. 10.1001/jama.278.23.2080.View ArticlePubMedGoogle Scholar
- Pugh MJ, Copeland LA, Zeber JE, Cramer JA, Amuan ME, Cavazos JE, Kazis LE: The impact of epilepsy on health status among younger and older adults. Epilepsia. 2005, 46 (11): 1820-1827. 10.1111/j.1528-1167.2005.00291.x.View ArticlePubMedGoogle Scholar
- Kazis LE, Miller DR, Clark J, Skinner K, Lee A, Rogers W, Spiro A, Payne S, Fincke G, Selim A, Linzer M: Health-related quality of life in patients served by the Department of Veterans Affairs: results from the Veterans Health Study. Arch Intern Med. 1998, 158 (6): 626-632. 10.1001/archinte.158.6.626.View ArticlePubMedGoogle Scholar
- Shen Y, Hendricks A, Zhang S, Kazis LE: VHA enrollees' health care coverage and use of care. Med Care Res Rev. 2003, 60 (2): 253-267. 10.1177/1077558703060002007.View ArticlePubMedGoogle Scholar
- Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987, 40 (5): 373-383. 10.1016/0021-9681(87)90171-8.View ArticlePubMedGoogle Scholar
- Deyo RA, Cherkin DC, Ciol MA: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992, 45 (6): 613-619. 10.1016/0895-4356(92)90133-8.View ArticlePubMedGoogle Scholar
- Elixhauser A, Steiner C, Harris DR, Coffey RM: Comorbidity measures for use with administrative data. Med Care. 1998, 36 (1): 8-27. 10.1097/00005650-199801000-00004.View ArticlePubMedGoogle Scholar
- Copeland LA, Mortensen EM, Zeber JE, Pugh MJ, Restrepo MI, Dalack GW: Pulmonary disease among inpatient decedents: Impact of schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry. 2007, 31: 720-6. 10.1016/j.pnpbp.2007.01.008.View ArticlePubMedGoogle Scholar
- Goldman S, Zadina K, Moritz T, Ovitt T, Sethi G, Copeland JG, Thottapurathu L, Krasnicka B, Ellis N, Anderson RJ, Henderson W, VA Cooperative Study Group #207/297/36: Long-term patency of saphenous vein and left internal mammary artery grafts after coronary artery bypass surgery: results from a Department of Veterans Affairs Cooperative Study. J Am Coll Cardiol. 2004, 44: 2149-56. 10.1016/j.jacc.2004.08.064.View ArticlePubMedGoogle Scholar
- Sohn MW, Zhang H, Arnold N, Stroupe K, Taylor BC, Wilt TJ, Hynes DM: Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs. Popul Health Metr. 2006, 4: 7-10.1186/1478-7954-4-7.View ArticlePubMedPubMed CentralGoogle Scholar
- Kressin NR, Chang BH, Hendricks A, Kazis LE: Agreement between administrative data and patients' self-reports of race/ethnicity. Am J Public Health. 2003, 93: 1734-9. 10.2105/AJPH.93.10.1734.View ArticlePubMedPubMed CentralGoogle Scholar
- Copeland LA, Zeber JE, Wang CP, Parchman ML, Lawrence VA, Valenstein M, Miller A: Patterns of primary care and mortality among patients with schizophrenia or diabetes: a cluster analysis approach to the retrospective study of healthcare utilization. BMC Health Serv Res. 2009, 9: 127-10.1186/1472-6963-9-127.View ArticlePubMedPubMed CentralGoogle Scholar
- Mortensen EM, Coley CM, Singer DE, Marrie TJ, Obrosky DS, Kapoor WN, Fine MJ: Causes of death for patients with community-acquired pneumonia: results from the Pneumonia Patient Outcomes Research Team cohort study. Arch Intern Med. 2002, 162 (9): 1059-1064. 10.1001/archinte.162.9.1059.View ArticlePubMedGoogle Scholar
- Sohn MW, Arnold N, Maynard C, Hynes DM: Accuracy and completeness of mortality data in the Department of Veterans Affairs. Popul Health Metr. 2006, 4: 2-10.1186/1478-7954-4-2.View ArticlePubMedPubMed CentralGoogle Scholar
- Frei CR, Koeller JM, Burgess DS, Talbert RL, Johnsrud MT: Impact of atypical coverage for patients with community-acquired pneumonia managed on the medical ward: results from the United States Community-Acquired Pneumonia Project. Pharmacotherapy. 2003, 23: 1167-74. 10.1592/phco.23.10.1167.32764.View ArticlePubMedGoogle Scholar
- Frei CR, Restrepo MI, Mortensen EM, Burgess DS: Impact of guideline-concordant empiric antibiotic therapy in community-acquired pneumonia. Am J Med. 2006, 119 (10): 865-871. 10.1016/j.amjmed.2006.02.014.View ArticlePubMedGoogle Scholar
- Chokshi R, Restrepo MI, Weeratunge N, Frei CR, Anzueto A, Mortensen EM: Monotherapy versus combination antibiotic therapy for patients with bacteremic Streptococcus pneumoniae community-acquired pneumonia. Eur J Clin Microbiol Infect Dis. 2007, 26: 447-51. 10.1007/s10096-007-0307-3.View ArticlePubMedGoogle Scholar
- Frei CR, Attridge RT, Mortensen EM, Restrepo MI, Yu Y, Oramasionwu CU, Ruiz JL, Burgess DS: Guideline-concordant antibiotic use and survival among patients with community-acquired pneumonia admitted to the intensive care unit. Clin Ther. 2010, 32: 293-9. 10.1016/j.clinthera.2010.02.006.View ArticlePubMedGoogle Scholar
- Fine MJ, Auble TE, Yealy DM, Hanusa BH, Weissfeld LA, Singer DE, Coley CM, Marrie TJ, Kapoor WN: A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med. 1997, 336 (4): 243-250. 10.1056/NEJM199701233360402.View ArticlePubMedGoogle Scholar
- Lim WS, Eerden van der MM, Laing R, Boersma WG, Karalus N, Town GI, Lewis SA, Macfarlane JT: Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study. Thorax. 2003, 58 (5): 377-382. 10.1136/thorax.58.5.377.View ArticlePubMedPubMed CentralGoogle Scholar
- Rousseau PC: Racial disparity in advance care planning. J Palliat Med. 1999, 2 (3): 295-297. 10.1089/jpm.1999.2.295.View ArticlePubMedGoogle Scholar
- Lunney JR, Lynn J, Hogan C: Profiles of older Medicare decedents. J Am Geriatr Soc. 2002, 50 (6): 1108-1112. 10.1046/j.1532-5415.2002.50268.x.View ArticlePubMedGoogle Scholar
- Lunney JR, Lynn J, Foley DJ, Lipson S, Guralnik JM: Patterns of functional decline at the end of life. JAMA. 2003, 289 (18): 2387-2392. 10.1001/jama.289.18.2387.View ArticlePubMedGoogle Scholar
- Copeland LA, Zeber JE, Rosenheck RA, Miller AL: Unforeseen inpatient mortality among veterans with schizophrenia. Med Care. 2006, 44 (2): 110-116. 10.1097/01.mlr.0000196973.99080.fb.View ArticlePubMedGoogle Scholar
- Lim WS, Macfarlane JT: A prospective comparison of nursing home acquired pneumonia with community acquired pneumonia. Eur Respir J. 2001, 18: 362-8. 10.1183/09031936.01.00204401.View ArticlePubMedGoogle Scholar
- El-Solh AA, Sikka P, Ramadan F, Davies J: Etiology of severe pneumonia in the very elderly. Am J Respir Crit Care Med. 2001, 163: 645-51.View ArticlePubMedGoogle Scholar
- El-Solh AA, Aquilina AT, Dhillon RS, Ramadan F, Nowak P, Davies J: Impact of invasive strategy on management of antimicrobial treatment failure in institutionalized older people with severe pneumonia. Am J Respir Crit Care Med. 2002, 166: 1038-43. 10.1164/rccm.200202-123OC.View ArticlePubMedGoogle Scholar
- El Solh AA, Pietrantoni C, Bhat A, Bhora M, Berbary E: Indicators of potentially drug-resistant bacteria in severe nursing home-acquired pneumonia. Clin Infect Dis. 2004, 39: 474-80. 10.1086/422317.View ArticlePubMedGoogle Scholar
- Marrie TJ, Wu L: Factors influencing in-hospital mortality in community-acquired pneumonia: a prospective study of patients not initially admitted to the ICU. Chest. 2005, 127: 1260-70. 10.1378/chest.127.4.1260.PubMedGoogle Scholar
- Trick WE, Weinstein RA, DeMarais PL, Kuehnert MJ, Tomaska W, Nathan C, Rice TW, McAllister SK, Carson LA, Jarvis WR: Colonization of skilled-care facility residents with antimicrobial-resistant pathogens. J Am Geriatr Soc. 2001, 49: 270-6. 10.1046/j.1532-5415.2001.4930270.x.View ArticlePubMedGoogle Scholar
- Wiener J, Quinn JP, Bradford PA, Goering RV, Nathan C, Bush K, Weinstein R: Multiple antibiotic-resistant Klebsiella and Escherichia coli in nursing homes. JAMA. 1999, 281: 517-23. 10.1001/jama.281.6.517.View ArticlePubMedGoogle Scholar
- Mortensen EM, Restrepo M, Anzueto A, Pugh J: Effects of guideline-concordant antimicrobial therapy on mortality among patients with community-acquired pneumonia. Am J Med. 2004, 117 (10): 726-731. 10.1016/j.amjmed.2004.06.028.View ArticlePubMedGoogle Scholar
- Houck PM, MacLehose RF, Niederman MS, Lowery JK: Empiric antibiotic therapy and mortality among Medicare pneumonia inpatients in 10 western states: 1993, 1995, and 1997. Chest. 2001, 119 (5): 1420-1426. 10.1378/chest.119.5.1420.View ArticlePubMedGoogle Scholar
- Bodi M, Rodriguez A, Sole-Violan J, Gilavert MC, Garnacho J, Blanquer J, Jimenez J, de la Torre MV, Sirvent JM, Almirall J, Doblas A, Badía JR, García F, Mendia A, Jordá R, Bobillo F, Vallés J, Broch MJ, Carrasco N, Herranz MA, Rello J: Antibiotic prescription for community-acquired pneumonia in the intensive care unit: impact of adherence to Infectious Diseases Society of America guidelines on survival. Clin Infect Dis. 2005, 41: 1709-16. 10.1086/498119.View ArticlePubMedGoogle Scholar
- McGinnis KA, Fine MJ, Sharma RK, Skanderson M, Wagner JH, Rodriguez-Barradas MC, Rabeneck L, Justice AC: Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data. Am J Public Health. 2003, 93 (10): 1728-1733. 10.2105/AJPH.93.10.1728.View ArticlePubMedPubMed CentralGoogle Scholar
- Frei CR, Jaso TC, Mortensen EM, Restrepo MI, Raut MK, Oramasionwu CU, Ruiz AD, Makos BR, Ruiz JL, Attridge RT, Mody SH, Fisher A, Schein JR: Medical resource utilization among community-acquired pneumonia patients initially treated with levofloxacin 750 mg daily versus ceftriaxone 1000 mg plus azithromycin 500 mg daily: a US-based study. Curr Med Res Opin. 2009, 25 (4): 859-868. 10.1185/03007990902779749.View ArticlePubMedGoogle Scholar
- Morgan RO, Teal CR, Reddy SG, Ford ME, Ashton CM: Measurement in Veterans Affairs Health Services Research: veterans as a special population. Health Serv Res. 2005, 40 (5 Pt 2): 1573-1583. 10.1111/j.1475-6773.2005.00448.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Micek ST, Kollef KE, Reichley RM, Roubinian N, Kollef MH: Health care-associated pneumonia and community-acquired pneumonia: a single-center experience. Antimicrob Agents Chemother. 2007, 51 (10): 3568-3573. 10.1128/AAC.00851-07.View ArticlePubMedPubMed CentralGoogle Scholar
- Carratala J, Mykietiuk A, Fernandez-Sabe N, Suarez C, Dorca J, Verdaguer R, Manresa F, Gudiol F: Health care-associated pneumonia requiring hospital admission: epidemiology, antibiotic therapy, and clinical outcomes. Arch Intern Med. 2007, 167 (13): 1393-1399. 10.1001/archinte.167.13.1393.View ArticlePubMedGoogle Scholar
- Kashner TM: Agreement between administrative files and written medical records: a case of the Department of Veterans Affairs. Med Care. 1998, 36: 1324-36. 10.1097/00005650-199809000-00005.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/10/143/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.