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Apparent Widening Gap in Access to Neuro-oncologic Care in the United States: Title and subTitle BreakNeed for ActionWidening Gap in Access to Neuro-oncologic Care

Kristen Riley, MD; Hassan M. Fathallah-Shaykh, MD, PhD
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Copyright 2010 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.

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Arch Neurol. 2010;67(9):1137-1139. doi:10.1001/archneurol.2010.217
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ABSTRACT

Archives of Surgery

Disparities in Access to Neuro-oncologic Care in the United States

Debraj Mukherjee, MD, MPH; Hasan A. Zaidi, BS; Thomas Kosztowski, BS; Kaisorn L. Chaichana, MD; Henry Brem, MD; David C. Chang, PhD, MPH, MBA; Alfredo Quiñones-Hinojosa, MD

Hypothesis:   Race/ethnicity and social status influence admission to high-volume hospitals among patients who undergo craniotomy for tumor biopsy or resection.

Design:   Retrospective analysis of the Nationwide Inpatient Sample (1988-2005), with additional factors from the Area Resource File.

Setting:   A 20% representative sample of all hospitals in 37 US states.

Patients:   A total of 76 436 patients 18 years or older who were admitted and underwent craniotomy for tumor biopsy or resection.

Main Outcome Measures:   Odds ratios (ORs) for the association of age, sex, race/ethnicity, insurance status, Charlson Comorbidity Index, and county-level characteristics with admission to high-volume hospitals (>50 craniotomies per year) or low-volume hospitals.

Results:   A total of 25 481 patients (33.3%) were admitted to high-volume hospitals. Overall access to high-volume hospitals improved over time. However, racial/ethnic disparities in access to high-volume hospitals dramatically worsened for Hispanics (OR, 0.49) and African Americans (OR, 0.62) in recent years. Factors associated with better access to high-volume hospitals included years since 1988 (OR, 1.11), greater countywide neurosurgeon density (OR, 1.66), and higher countywide median household income (OR, 1.71). Factors associated with worse access to high-volume hospitals included older age (OR, 0.34 per year increase), increased countywide poverty rate (OR, 0.57), Hispanic race/ethnicity (OR, 0.68), and higher Charlson Comorbidity Index (OR, 0.96 per point increase).

Conclusions:   African Americans and Hispanics have disproportionately worse access to high-quality neuro-oncologic care over time compared with whites. Higher countywide median household income and decreased countywide poverty rate were associated with better access to high-volume hospitals, implicating socioeconomic factors in predicting admission to high-quality centers.

Arch Surg. 2010;145(3):247-253.

Following the devastation caused by Hurricane Katrina in New Orleans in 2005, the United States has aggressively pursued a national effort to eliminate disparities in health care access. That tragic event uncovered the silent and hidden epidemic of health disparities that has persisted in this nation and threatened the lives of ethnic minorities and the poor. In particular, studies by the Centers for Disease Control and Prevention showed that the population was experiencing chronic untreated medical problems such as hypertension, diabetes mellitus, cardiovascular diseases, and psychiatric disorders. In some cases, evacuees received medical treatment for the first time for life-threatening diseases.1 - 3 Created by Congress in 2000, the National Center on Minority Health and Health Disparities had already begun implementing programs to promote research and intervention in minority health care. Since 2005, the center has received more than $990 million for minority health care research and initiatives. The requested budget for 2010 of $208 844 000 will put the amount spent on this critical issue over $1.3 trillion (http://ncmhd.nih.gov). After so many dollars spent, what advances have we made and what have we learned to move to more egalitarian health care?

The work of Mukherjee et al4 - 5 is timely and important because it examines disparities in the delivery of neurosurgical and neuro-oncologic care to minorities and the poor of this nation. The authors identified a large population of adult patients with the use of the Nationwide Inpatient Sample database. They then linked individual patients to the Area Resource File database by using the Federal Information Processing Standards Code, which corresponds to each specific hospital and county. They conclude that access to high-quality neuro-oncologic care has actually worsened for African American and Hispanic populations during the past 10 years. They also note that access worsened for older individuals. The authors point out, not surprisingly, that residents of counties with higher median household income and greater neurosurgeon density are more likely to have access to high-quality neuro-oncologic care.

Reviewing the methods of this study4 reveals a few areas of concern. First, while attempting to analyze a specific cohort of patients (those with brain tumors), the authors' inclusion criteria allowed for a much more heterogeneous population than desired. For example, among the procedure codes used for inclusion were codes for elevation of skull fracture fragments, implantation and removal of neurostimulation devices, and placement of skull tongs or halo traction. Although these codes represent neurosurgical procedures, they are not likely to apply to patients with brain tumors. Thus, the denominator of patients studied was unnecessarily diluted. Furthermore, the inclusion criteria stated that patients with “ ICD-9 diagnosis codes of brain tumor or ICD-9 procedure codes consistent with craniotomy for tumor biopsy or resection”4 (p248) were included. By not linking the diagnosis and procedure codes, the data set may have included patients with brain tumor admitted for purposes other than surgical treatment of their tumor. Furthermore, the study did not address transfers to high-volume hospitals and ways to track these transfers. These limitations raise concerns about the conclusion that African Americans and Hispanics have worse access to high-quality neuro-oncologic surgical care. Nevertheless, the data suggest that, across a variety of admission types, this population is less likely to be admitted to high-volume neurosurgical centers. Furthermore, the trend over time of fewer admissions to high-volume centers remains significant and alarming.

Studies have demonstrated that high-volume providers have superior outcomes after surgical resection of malignant intracranial tumors.6 Outcome is also positively correlated with physician volume for stroke care,7 carotid artery stenting,8 - 9 pediatric transplant surgery,10 and aneurysm repair.11 Given that high-volume providers may offer better outcomes, it is crucial for equity of care that minority patients have access to high-volume hospitals. However, disparities in minority access to care at high-volume hospitals have been observed in several surgical and medical disciplines. In particular, Bao and Kamble12 studied differences in using high-volume hospitals and surgeons for coronary artery bypass graft across 19 hospital referral regions in Florida. The study reports a correlation between countywide surgeon density and access to care. The results indicate that minorities were significantly less likely than whites to receive coronary artery bypass grafts at a high-volume hospital. However, controlling for differences between regions eliminated almost all racial/ethnic differences. Substantial differences in using high-volume providers existed between Medicaid/uninsured and privately insured patients, and such differences persisted within hospital referral regions.

The study by Mukherjee et al4 likewise notes a correlation to countywide neurosurgeon density and access to care. This suggests that geographic distance to high-volume hospitals may be an important barrier to access. However, recent studies13 - 14 evaluating racial and ethnic differences in the use of high-volume hospitals in the New York City area for surgical procedures also found that minority patients are less likely to use high-volume hospitals and surgeons for procedures for cancer surgery (breast, colorectal, gastric, lung, or pancreatic resection), cardiovascular disease (coronary artery bypass graft, coronary angioplasty, abdominal aortic aneurysm repair, or carotid endarterectomy), or orthopedic conditions (total hip replacement). These findings support the idea that geographic proximity to a high-volume center is not the only determinant of access to care.

The National Center on Minority Health and Health Disparities has recognized that nonbiological factors affect health care, specifically social, behavioral, and environmental influences. To address disparities in health care access, we must identify the barriers to access on the side of the patient and on the side of the health system. Chang et al15 studied referral to high-volume hospitals for pancreatic cancer resection and found that patients older than 85 years, African Americans, Hispanics, and Asians were significantly less likely to be referred relative to their younger white counterparts.

The US government has recognized the importance of addressing disparities in health care for minorities, as evidenced by the funds committed to research and intervention. The research should focus on understanding the barriers and establishing standards of patient referrals, and attention should be given to the evaluation of systems of collaboration between low- and high-volume hospitals. Mukherjee and colleagues should be commended for identifying the disturbing trend of worsened access to high-volume care among minority and elderly patients. To reverse this trend and to offer equal access to the same resources of neuro-oncologic care for all, we must understand and fix the barriers and take the message to primary care physicians, minority patients, and the elderly.

AUTHOR INFORMATION

Correspondence: Dr Riley, Division of Neurosurgery, Department of Surgery, The University of Alabama at Birmingham, Faculty Office Tower 1050, 150 Third Ave S, Birmingham, AL 35295.

Author Contributions:Study concept and design: Riley and Fathallah-Shaykh. Acquisition of data: Riley. Analysis and interpretation of data: Riley. Drafting of the manuscript: Riley and Fathallah-Shaykh. Critical revision of the manuscript for important intellectual content: Riley and Fathallah-Shaykh. Administrative, technical, and material support: Riley. Study supervision: Riley and Fathallah-Shaykh.

Financial Disclosure: None reported.

REFERENCES

Jhung  MA, Shehab  N, Rohr-Allegrini  C.  et al.  Chronic disease and disasters medication demands of Hurricane Katrina evacuees. Am J Prev Med 2007;33 (3) 207- 210
PubMed
Centers for Disease Control and Prevention (CDC),  Rapid assessment of health needs and resettlement plans among Hurricane Katrina evacuees—San Antonio, Texas, September 2005. MMWR Morb Mortal Wkly Rep 2006;55 (9) 242- 244
PubMed
Centers for Disease Control and Prevention (CDC),  Illness surveillance and rapid needs assessment among Hurricane Katrina evacuees—Colorado, September 1-23, 2005. MMWR Morb Mortal Wkly Rep 2006;55 (9) 244- 247
PubMed
Mukherjee  D, Zaidi  HA, Kosztowski  T.  et al.  Disparities in access to neuro-oncologic care in the United States. Arch Surg 2010;145 (3) 247- 253
PubMed
Mukherjee  D, Kosztowski  T, Zaidi  HA.  et al.  Disparities in access to pediatric neurooncological surgery in the United States. Pediatrics 2009;124 (4) e688- e696
PubMed
PubMed
Cowan  JA  Jr, Dimick  JB, Leveque  JC, Thompson  BG, Upchurch  GR  Jr, Hoff  JT. The impact of provider volume on mortality after intracranial tumor resection. Neurosurgery 2003;52 (1) 48- 54
PubMed
Ogbu  UC, Slobbe  LC, Arah  OA, de Bruin  A, Stronks  K, Westert  GP. Hospital stroke volume and case-fatality revisited. Med Care 2010;48 (2) 149- 156
PubMed
Vogel  TR, Dombrovskiy  VY, Graham  AM. Carotid artery stenting in the nation: the influence of hospital and physician volume on outcomes. Vasc Endovascular Surg 2010;44 (2) 89- 94
PubMed
Feasby  TE, Quan  H, Ghali  WA. Hospital and surgeon determinants of carotid endarterectomy outcomes. Arch Neurol 2002;59 (12) 1877- 1881
PubMed
Tracy  ET, Bennett  KM, Danko  ME.  et al.  Low volume is associated with worse patient outcomes for pediatric liver transplant centers. J Pediatr Surg 2010;45 (1) 108- 113
PubMed
Holt  PJ, Poloniecki  JD, Khalid  U, Hinchliffe  RJ, Loftus  IM, Thompson  MM. Effect of endovascular aneurysm repair on the volume-outcome relationship in aneurysm repair. Circ Cardiovasc Qual Outcomes 2009;2 (6) 624- 632
PubMed
Bao  Y, Kamble  S. Geographical distribution of surgical capabilities and disparities in the use of high-volume providers: the case of coronary artery bypass graft. Med Care 2009;47 (7) 794- 802
PubMed
Epstein  AJ, Gray  BH, Schlesinger  M. Racial and ethnic differences in the use of high-volume hospitals and surgeons. Arch Surg 2010;145 (2) 179- 186
PubMed
Gray  BH, Schlesinger  M, Siegfried  SM, Horowitz  E. Racial and ethnic disparities in the use of high-volume hospitals. Inquiry 2009;46 (3) 322- 338
PubMed
Chang  DC, Zhang  Y, Mukherjee  D.  et al.  Variations in referral patterns to high-volume centers for pancreatic cancer. J Am Coll Surg 2009;209 (6) 720- 726
PubMed

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Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Jhung  MA, Shehab  N, Rohr-Allegrini  C.  et al.  Chronic disease and disasters medication demands of Hurricane Katrina evacuees. Am J Prev Med 2007;33 (3) 207- 210
PubMed
Centers for Disease Control and Prevention (CDC),  Rapid assessment of health needs and resettlement plans among Hurricane Katrina evacuees—San Antonio, Texas, September 2005. MMWR Morb Mortal Wkly Rep 2006;55 (9) 242- 244
PubMed
Centers for Disease Control and Prevention (CDC),  Illness surveillance and rapid needs assessment among Hurricane Katrina evacuees—Colorado, September 1-23, 2005. MMWR Morb Mortal Wkly Rep 2006;55 (9) 244- 247
PubMed
Mukherjee  D, Zaidi  HA, Kosztowski  T.  et al.  Disparities in access to neuro-oncologic care in the United States. Arch Surg 2010;145 (3) 247- 253
PubMed
Mukherjee  D, Kosztowski  T, Zaidi  HA.  et al.  Disparities in access to pediatric neurooncological surgery in the United States. Pediatrics 2009;124 (4) e688- e696
PubMed
PubMed
Cowan  JA  Jr, Dimick  JB, Leveque  JC, Thompson  BG, Upchurch  GR  Jr, Hoff  JT. The impact of provider volume on mortality after intracranial tumor resection. Neurosurgery 2003;52 (1) 48- 54
PubMed
Ogbu  UC, Slobbe  LC, Arah  OA, de Bruin  A, Stronks  K, Westert  GP. Hospital stroke volume and case-fatality revisited. Med Care 2010;48 (2) 149- 156
PubMed
Vogel  TR, Dombrovskiy  VY, Graham  AM. Carotid artery stenting in the nation: the influence of hospital and physician volume on outcomes. Vasc Endovascular Surg 2010;44 (2) 89- 94
PubMed
Feasby  TE, Quan  H, Ghali  WA. Hospital and surgeon determinants of carotid endarterectomy outcomes. Arch Neurol 2002;59 (12) 1877- 1881
PubMed
Tracy  ET, Bennett  KM, Danko  ME.  et al.  Low volume is associated with worse patient outcomes for pediatric liver transplant centers. J Pediatr Surg 2010;45 (1) 108- 113
PubMed
Holt  PJ, Poloniecki  JD, Khalid  U, Hinchliffe  RJ, Loftus  IM, Thompson  MM. Effect of endovascular aneurysm repair on the volume-outcome relationship in aneurysm repair. Circ Cardiovasc Qual Outcomes 2009;2 (6) 624- 632
PubMed
Bao  Y, Kamble  S. Geographical distribution of surgical capabilities and disparities in the use of high-volume providers: the case of coronary artery bypass graft. Med Care 2009;47 (7) 794- 802
PubMed
Epstein  AJ, Gray  BH, Schlesinger  M. Racial and ethnic differences in the use of high-volume hospitals and surgeons. Arch Surg 2010;145 (2) 179- 186
PubMed
Gray  BH, Schlesinger  M, Siegfried  SM, Horowitz  E. Racial and ethnic disparities in the use of high-volume hospitals. Inquiry 2009;46 (3) 322- 338
PubMed
Chang  DC, Zhang  Y, Mukherjee  D.  et al.  Variations in referral patterns to high-volume centers for pancreatic cancer. J Am Coll Surg 2009;209 (6) 720- 726
PubMed

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