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Figure. 
Disease severity (Unified Parkinson Disease Rating Scale [UPDRS] score) and disability (Older Americans Resources and Services [OARS] subscore) by race, income, and educational level. For overall differences, P < .001 for each outcome.

Disease severity (Unified Parkinson Disease Rating Scale [UPDRS] score) and disability (Older Americans Resources and Services [OARS] subscore) by race, income, and educational level. For overall differences, P < .001 for each outcome.

Table 1. 
Patient Characteristics by Race, Income, and Educational Level
Patient Characteristics by Race, Income, and Educational Level
Table 2. 
Disability and Disease Severity of Patients Grouped by Race, Income, and Educational Levela
Disability and Disease Severity of Patients Grouped by Race, Income, and Educational Levela
Table 3. 
Adjusted Means by Race, Income, and Educational Level After Controlling for the Other 2 Variablesa
Adjusted Means by Race, Income, and Educational Level After Controlling for the Other 2 Variablesa
Table 4. 
Medications by Race, Educational Level, and Incomea
Medications by Race, Educational Level, and Incomea
1.
Marwick  C Healthy People 2010 initiative launched.  JAMA 2000;283 (8) 989- 990PubMedGoogle ScholarCrossref
2.
United States Department of Health and Human Services; Agency for Healthcare Research and Quality, 2005 national healthcare disparities report: AHRQ publication 06-0017. Agency for Healthcare Research and Quality Web site. http://www.ahrq.gov/qual/nhdr05/nhdr05.pdf. Accessed October 29, 2010
3.
Schoeni  RFMartin  LGAndreski  PMFreedman  VA Persistent and growing socioeconomic disparities in disability among the elderly: 1982-2002.  Am J Public Health 2005;95 (11) 2065- 2070PubMedGoogle ScholarCrossref
4.
Bennett  DABeckett  LAMurray  AM  et al.  Prevalence of parkinsonian signs and associated mortality in a community population of older people.  N Engl J Med 1996;334 (2) 71- 76PubMedGoogle ScholarCrossref
5.
Gilman  S Parkinsonian syndromes.  Clin Geriatr Med 2006;22 (4) 827- 842, viPubMedGoogle ScholarCrossref
6.
Albin  RL Parkinson's disease: background, diagnosis, and initial management.  Clin Geriatr Med 2006;22 (4) 735- 751, vPubMedGoogle ScholarCrossref
7.
Tolosa  EWenning  GPoewe  W The diagnosis of Parkinson's disease.  Lancet Neurol 2006;5 (1) 75- 86PubMedGoogle ScholarCrossref
8.
Cotzias  GCVan Woert  MHSchiffer  LM Aromatic amino acids and modification of parkinsonism.  N Engl J Med 1967;276 (7) 374- 379PubMedGoogle ScholarCrossref
9.
Bianchine  JRShaw  GM Clinical pharmacokinetics of levodopa in Parkinson's disease.  Clin Pharmacokinet 1976;1 (5) 313- 338PubMedGoogle ScholarCrossref
10.
Setter  SM Assessing the impact of ease of administration and tolerability on treatment choices in Parkinson's disease.  Neurol Clin 2008;26 (3) ((suppl)) S45- S63, viPubMedGoogle ScholarCrossref
11.
Van Den Eeden  SKTanner  CMBernstein  AL  et al.  Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity.  Am J Epidemiol 2003;157 (11) 1015- 1022PubMedGoogle ScholarCrossref
12.
Richards  MChaudhuri  KR Parkinson's disease in populations of African origin: a review.  Neuroepidemiology 1996;15 (4) 214- 221PubMedGoogle ScholarCrossref
13.
McInerney-Leo  AGwinn-Hardy  KNussbaum  RL Prevalence of Parkinson's disease in populations of African ancestry: a review.  J Natl Med Assoc 2004;96 (7) 974- 979PubMedGoogle Scholar
14.
Pressley  JCTang  M-XMarder  KCote  LJMayeux  R Disparities in the recording of Parkinson's disease on death certificates.  Mov Disord 2005;20 (3) 315- 321PubMedGoogle ScholarCrossref
15.
Duke University Center for the Study of Aging and Human Development, Multidimensional Functional Assessment: The OARS Methodology: A Manual. 2nd ed. Raleigh, NC Duke University1978;
16.
Shulman  LMGruber-Baldini  ALAnderson  KE  et al.  The evolution of disability in Parkinson disease.  Mov Disord 2008;23 (6) 790- 796PubMedGoogle ScholarCrossref
17.
Linn  BSLinn  MWGurel  L Cumulative illness rating scale.  J Am Geriatr Soc 1968;16 (5) 622- 626PubMedGoogle Scholar
18.
Fahn  SElton  RLMembers of the UPDRS Development Committee, Unified Parkinson's Disease Rating Scale. Fahn  SMarsden  CDCalne  DBGoldstein  M Recent Developments in Parkinson's Disease. Vol 2 Florham Park, NJ Macmillan Health Care Information1987;153- 164Google Scholar
19.
Cheng  EMSiderowf  ADSwarztrauber  K  et al.  Disparities of care in veterans with Parkinson's disease.  Parkinsonism Relat Disord 2008;14 (1) 8- 14PubMedGoogle ScholarCrossref
20.
Dahodwala  NXie  MNoll  ESiderowf  AMandell  DS Treatment disparities in Parkinson's disease.  Ann Neurol 2009;66 (2) 142- 145PubMedGoogle ScholarCrossref
21.
Dahodwala  NSiderowf  AXie  MNoll  EStern  MMandell  DS Racial differences in the diagnosis of Parkinson's disease.  Mov Disord 2009;24 (8) 1200- 1205PubMedGoogle ScholarCrossref
22.
Yacoubian  TAHoward  GKissela  BSands  CDStandaert  DG Racial differences in Parkinson's disease medication use in the reasons for geographic and racial differences in stroke cohort: a cross-sectional study.  Neuroepidemiology 2009;33 (4) 329- 334PubMedGoogle ScholarCrossref
23.
Gornick  MEEggers  PWReilly  TW  et al.  Effects of race and income on mortality and use of services among Medicare beneficiaries.  N Engl J Med 1996;335 (11) 791- 799PubMedGoogle ScholarCrossref
24.
Quan  HFong  ADe Coster  C  et al.  Variation in health services utilization among ethnic populations.  CMAJ 2006;174 (6) 787- 791PubMedGoogle ScholarCrossref
25.
US Census Bureau, State and County QuickFacts—Baltimore City, Maryland.  US Census Bureau Web site. http://quickfacts.census.gov/qfd/states/24/24510.html. Accessed November 8, 2010Google Scholar
26.
Wilson  RSSchneider  JABeckett  LAEvans  DABennett  DA Progression of gait disorder and rigidity and risk of death in older persons.  Neurology 2002;58 (12) 1815- 1819PubMedGoogle ScholarCrossref
27.
Roberts  JSConnell  CMCisewski  DHipps  YGDemissie  SGreen  RC Differences between African Americans and whites in their perceptions of Alzheimer disease.  Alzheimer Dis Assoc Disord 2003;17 (1) 19- 26PubMedGoogle ScholarCrossref
28.
Goodwin  JSBlack  SASatish  S Aging versus disease: the opinions of older black, Hispanic, and non-Hispanic white Americans about the causes and treatment of common medical conditions.  J Am Geriatr Soc 1999;47 (8) 973- 979PubMedGoogle Scholar
29.
Rybicki  BAJohnson  CCGorell  JM Demographic differences in referral rates to neurologists of patients with suspected Parkinson's disease: implications for case-control study design.  Neuroepidemiology 1995;14 (2) 72- 81PubMedGoogle ScholarCrossref
30.
Bach  PBPham  HHSchrag  DTate  RCHargraves  JL Primary care physicians who treat blacks and whites.  N Engl J Med 2004;351 (6) 575- 584PubMedGoogle ScholarCrossref
31.
Miller  SCPapandonatos  GFennell  MMor  V Facility and county effects on racial differences in nursing home quality indicators.  Soc Sci Med 2006;63 (12) 3046- 3059PubMedGoogle ScholarCrossref
32.
Lleras-Muney  A The relationship between education and adult mortality in the US.  Rev Econ Stud 2005;72 (1) 189- 221Google ScholarCrossref
33.
Cree  BWaubant  E Does race matter for multiple sclerosis?  Neurology 2010;74 (7) 532- 533PubMedGoogle ScholarCrossref
Original Contribution
April 2011

Racial and Socioeconomic Disparities in Parkinsonism

Author Affiliations

Author Affiliations: Departments of Neurology (Drs Hemming, Anderson, Fishman, Reich, Weiner, and Shulman) and Psychiatry (Dr Anderson), School of Medicine; and Division of Gerontology, Department of Epidemiology and Public Health (Dr Gruber-Baldini), University of Maryland, Baltimore.

Arch Neurol. 2011;68(4):498-503. doi:10.1001/archneurol.2010.326

Identifying and addressing widespread health disparities in the United States is an issue of major significance. Elimination of health disparities is 1 of 2 major themes of Healthy People 2010 (US Department of Health and Human Services).1 Racial minorities and people with lower socioeconomic status (SES) have inferior health outcomes for many medical conditions, including diabetes mellitus, heart disease, and Alzheimer disease.2 Minority patients and those with lower SES tend to present later in the course of the disease and are less likely to have regular follow-up from primary care or specialist physicians.3 The effect of race and SES on patients with parkinsonism is only beginning to be evaluated.

Parkinsonism is characterized by bradykinesia, tremor, and rigidity. As many as one-third of elderly Americans have features of parkinsonism.4 Its causes are numerous5 and most are irreversible. The most common cause of parkinsonism is Parkinson disease (PD), a debilitating, chronic, progressive neurodegenerative disorder with an incidence rate that increases with age.6,7 Since the introduction of levodopa in 1967, numerous additional pharmacologic therapies have been introduced,8,9 including dopamine receptor agonists, monoamine oxidase inhibitors, and catechol-O-methyltransferase inhibitors.10 Judicious use of these agents alleviates symptoms and delays disability.

It is unclear whether the incidence and prevalence of PD is the same in white and African American populations in the United States. Studies to assess the prevalence of PD in African American populations show varied results.11,12 A review of 20 studies13 concluded that differences in prevalence in African Americans compared with European populations remain unproven. Some evidence suggests that PD is underdiagnosed in African Americans.14 The objective of this study is to assess the presence of differences in disease severity and disability in patients with parkinsonism treated at a tertiary Movement Disorders Center based on race, annual income, and educational level.

Methods

Data were obtained from patients evaluated by movement disorder specialists (P.S.F., S.G.R., W.J.W., and L.M.S.) at the University of Maryland Movement Disorders Center between May 20, 2003, and July 10, 2008. On their initial visit to the clinic, patients were invited to participate in the Quality of Life & Function Study. The study protocol was approved by the University of Maryland Institutional Review Board, and 72.9% of whites and 56.9% of African Americans agreed to participate. Information was obtained from 3 sources: patient-reported measures, documented medical history, and neurologic examination.

Study participants completed a demographics questionnaire for age, time since diagnosis of parkinsonism, and self-identified race, household income, and educational level. Patients completed a modified version of the Older Americans Resource and Services disability subscale (OARS).15 This subscale assesses the level of difficulty for 14 daily activities, including 7 activities of daily living and 7 instrumental activities of daily living. A more detailed description of the modified OARS is available.16 If patients were unable to complete the questionnaire, a family member or caregiver completed it. Because parkinsonism may be characterized by fluctuation of symptoms, patients were instructed to provide 2 responses describing their best and worst level of functioning. Data analysis was based on an average of the best and worst ratings on each OARS item for each patient.

Data regarding current medications were obtained from the patient's medical history. The level of medical comorbidity was assessed with the Cumulative Illness Rating Scale–Geriatrics (CIRS-G), with the score based on the number and severity of medical disorders by organ system.17 Medications were categorized by class, including dopaminergic medications and antipsychotics. Dopaminergics were subcategorized into carbidopa-levodopa only vs newer medications such as carbidopa-levodopa-entacapone or the dopamine receptor agonists. Among all patients with parkinsonism, PD was specifically diagnosed by a movement disorder specialist. The Unified Parkinson’s Disease Rating Scale (UPDRS)18 was used to assess the severity of parkinsonian signs in all patients.

Data were analyzed using SAS 9.1 statistical software (SAS Institute Inc, Cary, North Carolina). Disability and disease severity measures were compared by race, income, and educational level using analysis of variance for continuous variables and χ2 tests for dichotomous variables. Similar general linear models were used to examine differences among race, income, and educational level groups, unadjusted (analysis of variance) and adjusted for variables found to be different between the groups (analysis of covariance), including age, CIRS-G total score, time since diagnosis, and presence of PD. The Mini-Mental State Examination score was not included in adjusted models (it was associated with educational level) because of concerns that the test itself may be 1 potential cause for the observed outcome differences (on the causal pathway).

Results

A total of 1090 patients with parkinsonism were evaluated between May 20, 2003, and July 10, 2008. Patient characteristics (ie, age, comorbidity, Mini-Mental State Examination score, diagnosis, and years since diagnosis) by race, income, and educational level are presented in Table 1. Sixty-six patients with parkinsonism self-identified their race as African American. Lower SES was associated with being older and having greater medical comorbidity, lower cognitive ability, less likelihood of PD, and longer duration of illness. Although differences existed between African Americans and whites in level of medical comorbidity (ie, CIRS-G score), the difference was not significant (P = .10).

The OARS and UPDRS scores differed by race, income, and educational level (Figure). Most patients (57.4%) completed self-report forms independently and 40.7% of the total required help. The proportion of patients completing the study questionnaires varied by race but not by educational level or income. For example, for the OARS disability scale, 16.9% of whites and 26.7% of African Americans failed to complete the questionnaire. Variations in completion rates are reported in Table 2 and Table 3. African Americans had greater disability and disease severity (Table 2). The largest differences were seen on the UPDRS (UPDRS motor score: 27.9 vs 35.1, P < .001 and UPDRS total score: 42.8 vs 53.0; P < .001). Covariate analysis controlling for age, CIRS-G score, time since diagnosis, and diagnosis of PD widened the gaps between African Americans and whites (UPDRS total score: 51.4 vs 40.6, P = .002; OARS total score: 29.3 vs 23.3, P < .001).

Across all measures of disease severity and disability, significant differences were seen by income and educational level (Table 2). Between high (>$70 000) and low (<$30 000) income groups, the UPDRS total score differed by nearly 15 points (35.6 vs 50.4; P < .001) and the total OARS scores were nearly 10 points apart (29.9 vs 20.5; P < .001). After controlling for age, CIRS-G score, percentage with PD, and time since diagnosis, significant but less pronounced differences persisted (6.7-point difference in UPDRS, P < .001; 5.3-point difference in OARS, P < .001). College-educated patients had less disease severity and disability, with scores 10 points lower on the UPDRS total (49.0 vs 39.3; P <.001) and 5 points lower on the OARS total (28.8 vs 23.1; P <.001). After controlling for covariates, differences diminished but remained significant (7.1-point difference in UPDRS, P < .001; 3.6-point difference in OARS, P < .001).

Table 3 presents the relationship between race, income, and educational level and disease severity and disability. Within race, trends persisted, but significance disappeared for all the variables except OARS activities of daily living score (African American, 13.8, vs white, 12.2, P = .046). This finding may be accounted for by the small number of African American patients. Results remained significant across all variables by income (P ≤ .001). Differences related to educational level also remained significant (all P < .01).

Table 4 presents the comparative use of medications. At the initial visit to the Movement Disorders Center, African Americans were prescribed fewer antiparkinsonian medications (61.9% vs 77.6%; P = .004). African Americans were also receiving fewer new dopaminergic agents (catechol- O-methyltransferase inhibitors, dopamine agonists, or monoamine oxidase inhibitors, 20.6% vs 41.1%; P = .001). The administration of antipsychotic medications was higher in African Americans (12.7% vs 6.1%; P = .04).

Income was not associated with a difference in the overall use of antiparkinsonian medications; however, 30.0% of patients with incomes less than $30 000 were prescribed newer dopaminergic agents, compared with 47.2% of those making more than $70 000 (P = .002). The use of carbidopa-levodopa without newer adjunctive agents was more common in the lower-income population (67.3% in the <$30 000 group and 56.7% in the >$70 000 group, P = .03). Lower-income patients were also more likely to be prescribed antidepressants (P = .004), antipsychotics (P = .001), and antidementia agents (P = .03) (Table 4).

Antiparkinsonian medication use was similar across educational levels except for a difference in the use of newer agents (35.3% with less than a college education vs 43.0% with a college education, P = .002). Patients with lower educational level were more likely to be prescribed antipsychotics (8.4% with less than a college education vs 4.7% with a college education, P = .01).

Comment

Evidence of health disparities in PD is growing. Cheng et al19 examined quality indicators at medical follow-up among veterans with PD and found that non-Hispanic white patients were more likely than minorities to receive care that adhered to certain quality indicators, particularly treatment of depression.

Dahodwala et al20 abstracted data from the Pennsylvania Medicaid claims bank and reported that African Americans were half as likely to be diagnosed as having PD as whites. After controlling for age, sex, and geography, African Americans were 4 times less likely to receive any treatment for PD.21 Yacoubian et al22 found that among the cohort of patients in the Reasons for Geographic and Racial Differences in Stroke study, whites were nearly twice as likely to be prescribed medication for PD.

Our study shows that race and SES influence disease severity and disability related to parkinsonism among patients being treated at an academic Movement Disorders Center. African Americans had greater parkinsonian disease severity and disability than whites, and significant differences in management were also seen based on race and SES. These findings may be explained by delayed diagnosis, referral patterns, access to care, economic factors, or a combination of all these.23,24

The demographic makeup of the study sample illustrates important disparities. The University of Maryland Movement Disorders Center is located in Baltimore, where 64% of the population is African American, mean household income is approximately $30 000, and high school dropout rates are high.25 In contrast, the patient population of the Movement Disorders Center is 93.4% white, 61.2% earn more than $50 000, and 62.7% have completed college. These discrepancies suggest that minorities and those with low SES are less likely to receive specialized care.

The African American and white populations in our study were similar in age, cognitive function, percentage with PD, and years since diagnosis, thereby eliminating these potential confounders. Nonetheless, this study shows greater severity of parkinsonian signs, symptoms, and disability in African Americans. These differences do not persist when income and educational level are controlled, but this may be because of the relatively small number of African Americans.

Parkinson disease severity was higher in African Americans than whites. African Americans scored 10 points higher on the total UPDRS than whites. This is a striking difference that may influence mortality. Wilson et al26 showed among older Catholic nuns and priests that each higher point on the UPDRS scale was associated with a risk ratio of 1.1 for death within the 7-year study period. Perhaps African Americans or their physicians have a higher threshold for seeking treatment at a specialized center. This threshold may relate to perceptions of parkinsonian symptoms within the African American population. Studies have shown that African Americans and other minorities may perceive common medical conditions as natural processes that do not require medical intervention.27,28

Physicians may consciously or unconsciously contribute to health disparities. Race, educational level, and SES may be factors in physician decision-making regarding referral to a specialist for consultation.29 Bach et al30 reported that differences also exist between the primary care physicians whom African Americans visit and those whom whites visit. Physicians may be influenced by unconfirmed reports that PD is less common in African American populations. Our study shows that African Americans are less likely to receive antiparkinsonian medications and less likely to receive the newer medications on the market. There was no disparity in the use of antiparkinsonian medications by income or educational level, although lower SES groups were also less likely to receive newer agents. This finding suggests that the racial disparity in PD management is not fully explained by income or educational level. Other factors may include physician decision-making, patient acceptance of medications, and access to care. The increased use of antipsychotics in elderly African American patients seen in our study has been reported previously.31

Disparities by income and educational level have been reported in other populations. Lleras-Muney32 demonstrated that life expectancy was lengthened by as much as 1.7 years for each extra year of schooling. In our study, income and educational level, when controlled for each other and for race, are significantly and independently associated with disease severity.

Differences between total UPDRS scores in high- and low-income patients from the present study reached nearly 15 points. Wilson et al26 related this magnitude in total UPDRS score to a more than doubling of mortality risk. Although disparities remained after controlling for age and comorbidity, lower-income patients tended to be older and have greater medical comorbidity. This may account partly for the increased use of medications for depression and psychosis.

Several limitations exist in this study. The sample of African Americans is small (n = 66) and our ability to detect differences may have been hindered. Not all data were collected from the initial visit at our Movement Disorders Center. This factor is likely to influence medication management and PD severity ratings; however, the proportion of patients receiving initial or follow-up care was similar across groups. The demographics of the center did not permit analysis of racial minorities other than African Americans. Numerous additional factors may confound disparities by SES, limiting conclusions regarding the effects of income and educational level on disability and disease. The generizability of these findings may be limited because our cohort is composed of a select population being referred to a single tertiary center.

The strengths of the study include the size and scope of items contained in the Quality of Life & Function Study database. All patients were examined and diagnosed by neurologists specializing in movement disorders. Future studies should investigate patient attitudes, their beliefs about PD symptoms and therapies, and physician attitudes regarding referral and PD management. This is the first study, to our knowledge, to show health disparities in disease severity and disability in parkinsonism. Studies in different patient populations and geographic locations are necessary to confirm these findings.

Racial and SES disparities are complex phenomena.33 Parkinsonism reduces quality of life and results in disability and premature mortality. The results of this study suggest we need to better understand the cause of parkinsonism and to find remedies for disparate outcomes among patients with parkinsonian disease who are of different backgrounds and means.

Correspondence: Lisa M. Shulman, MD, Department of Neurology, University of Maryland School of Medicine, 110 S Paca St, Ste 3-S-127, Baltimore, MD 21201 (lshulman@som.umaryland.edu).

Accepted for Publication: October 5, 2010.

Published Online: December 13, 2010. doi:10.1001/archneurol.2010.326

Author Contributions: Drs Hemming, Gruber-Baldini, Weiner, and Shulman had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Hemming, Gruber-Baldini, and Shulman. Acquisition of data: Hemming, Anderson, Fishman, Reich, Weiner, and Shulman. Analysis and interpretation of data: Hemming, Gruber-Baldini, Anderson, Weiner, and Shulman. Drafting of the manuscript: Hemming, Gruber-Baldini, Weiner, and Shulman. Critical revision of the manuscript for important intellectual content: Hemming, Gruber-Baldini, Anderson, Fishman, Reich, Weiner, and Shulman. Statistical analysis: Gruber-Baldini and Shulman. Obtained funding: Shulman. Administrative, technical, and material support: Frank, Fishman, Weiner, and Shulman. Study supervision: Gruber-Baldini, Weiner, and Shulman.

Financial Disclosure: Dr Shulman has received compensation from Teva Pharmaceutical Industries Ltd and Boehringer Ingelheim GmbH; Dr Fishman, from Pfizer Incorporated, Forest Pharmaceuticals Inc, Ortho-McNeil-Janssen Pharmaceuticals Inc, GlaxoSmithKlein plc, Boehringer Ingelheim GmbH, Novartis AG, and Allergan Inc; Dr Reich, from Teva Pharmaceutical Industries Ltd, Cephalon Inc, Guilford Pharmaceuticals Inc, and General Electric Company; and Dr Weiner, from EMD Pharmaceuticals Inc, Teva Pharmaceutical Industries Ltd, Boehringer Ingelheim GmbH, Santhera Pharmaceuticals, and GlaxoSmithKline plc.

References
1.
Marwick  C Healthy People 2010 initiative launched.  JAMA 2000;283 (8) 989- 990PubMedGoogle ScholarCrossref
2.
United States Department of Health and Human Services; Agency for Healthcare Research and Quality, 2005 national healthcare disparities report: AHRQ publication 06-0017. Agency for Healthcare Research and Quality Web site. http://www.ahrq.gov/qual/nhdr05/nhdr05.pdf. Accessed October 29, 2010
3.
Schoeni  RFMartin  LGAndreski  PMFreedman  VA Persistent and growing socioeconomic disparities in disability among the elderly: 1982-2002.  Am J Public Health 2005;95 (11) 2065- 2070PubMedGoogle ScholarCrossref
4.
Bennett  DABeckett  LAMurray  AM  et al.  Prevalence of parkinsonian signs and associated mortality in a community population of older people.  N Engl J Med 1996;334 (2) 71- 76PubMedGoogle ScholarCrossref
5.
Gilman  S Parkinsonian syndromes.  Clin Geriatr Med 2006;22 (4) 827- 842, viPubMedGoogle ScholarCrossref
6.
Albin  RL Parkinson's disease: background, diagnosis, and initial management.  Clin Geriatr Med 2006;22 (4) 735- 751, vPubMedGoogle ScholarCrossref
7.
Tolosa  EWenning  GPoewe  W The diagnosis of Parkinson's disease.  Lancet Neurol 2006;5 (1) 75- 86PubMedGoogle ScholarCrossref
8.
Cotzias  GCVan Woert  MHSchiffer  LM Aromatic amino acids and modification of parkinsonism.  N Engl J Med 1967;276 (7) 374- 379PubMedGoogle ScholarCrossref
9.
Bianchine  JRShaw  GM Clinical pharmacokinetics of levodopa in Parkinson's disease.  Clin Pharmacokinet 1976;1 (5) 313- 338PubMedGoogle ScholarCrossref
10.
Setter  SM Assessing the impact of ease of administration and tolerability on treatment choices in Parkinson's disease.  Neurol Clin 2008;26 (3) ((suppl)) S45- S63, viPubMedGoogle ScholarCrossref
11.
Van Den Eeden  SKTanner  CMBernstein  AL  et al.  Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity.  Am J Epidemiol 2003;157 (11) 1015- 1022PubMedGoogle ScholarCrossref
12.
Richards  MChaudhuri  KR Parkinson's disease in populations of African origin: a review.  Neuroepidemiology 1996;15 (4) 214- 221PubMedGoogle ScholarCrossref
13.
McInerney-Leo  AGwinn-Hardy  KNussbaum  RL Prevalence of Parkinson's disease in populations of African ancestry: a review.  J Natl Med Assoc 2004;96 (7) 974- 979PubMedGoogle Scholar
14.
Pressley  JCTang  M-XMarder  KCote  LJMayeux  R Disparities in the recording of Parkinson's disease on death certificates.  Mov Disord 2005;20 (3) 315- 321PubMedGoogle ScholarCrossref
15.
Duke University Center for the Study of Aging and Human Development, Multidimensional Functional Assessment: The OARS Methodology: A Manual. 2nd ed. Raleigh, NC Duke University1978;
16.
Shulman  LMGruber-Baldini  ALAnderson  KE  et al.  The evolution of disability in Parkinson disease.  Mov Disord 2008;23 (6) 790- 796PubMedGoogle ScholarCrossref
17.
Linn  BSLinn  MWGurel  L Cumulative illness rating scale.  J Am Geriatr Soc 1968;16 (5) 622- 626PubMedGoogle Scholar
18.
Fahn  SElton  RLMembers of the UPDRS Development Committee, Unified Parkinson's Disease Rating Scale. Fahn  SMarsden  CDCalne  DBGoldstein  M Recent Developments in Parkinson's Disease. Vol 2 Florham Park, NJ Macmillan Health Care Information1987;153- 164Google Scholar
19.
Cheng  EMSiderowf  ADSwarztrauber  K  et al.  Disparities of care in veterans with Parkinson's disease.  Parkinsonism Relat Disord 2008;14 (1) 8- 14PubMedGoogle ScholarCrossref
20.
Dahodwala  NXie  MNoll  ESiderowf  AMandell  DS Treatment disparities in Parkinson's disease.  Ann Neurol 2009;66 (2) 142- 145PubMedGoogle ScholarCrossref
21.
Dahodwala  NSiderowf  AXie  MNoll  EStern  MMandell  DS Racial differences in the diagnosis of Parkinson's disease.  Mov Disord 2009;24 (8) 1200- 1205PubMedGoogle ScholarCrossref
22.
Yacoubian  TAHoward  GKissela  BSands  CDStandaert  DG Racial differences in Parkinson's disease medication use in the reasons for geographic and racial differences in stroke cohort: a cross-sectional study.  Neuroepidemiology 2009;33 (4) 329- 334PubMedGoogle ScholarCrossref
23.
Gornick  MEEggers  PWReilly  TW  et al.  Effects of race and income on mortality and use of services among Medicare beneficiaries.  N Engl J Med 1996;335 (11) 791- 799PubMedGoogle ScholarCrossref
24.
Quan  HFong  ADe Coster  C  et al.  Variation in health services utilization among ethnic populations.  CMAJ 2006;174 (6) 787- 791PubMedGoogle ScholarCrossref
25.
US Census Bureau, State and County QuickFacts—Baltimore City, Maryland.  US Census Bureau Web site. http://quickfacts.census.gov/qfd/states/24/24510.html. Accessed November 8, 2010Google Scholar
26.
Wilson  RSSchneider  JABeckett  LAEvans  DABennett  DA Progression of gait disorder and rigidity and risk of death in older persons.  Neurology 2002;58 (12) 1815- 1819PubMedGoogle ScholarCrossref
27.
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