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Black/Hispanic Disparities in a Vulnerable Post-Stroke Home Care Population

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Abstract

Significant racial and ethnic disparities in stroke risk factors, occurrence, and outcomes persist in the USA. This article examines socio-economic and health disparities in a diverse, hypertensive sample of 495 post-stroke Black, non-Hispanic and Hispanic home health patients at risk of a recurrent stroke due to elevated systolic blood pressure (SBP), defined as SBP > 140 mmHg. The article, which analyzes cross-sectional data, focuses on correlates of patients’ SBP—the leading modifiable cause of stroke—and physical function—a key stroke sequela and indicator of post-stroke quality of life. Of the 495 participants, 69.7% were Black, non-Hispanic, and 30.3% Hispanic. Black participants had significantly higher mean SBP than Hispanics. After controlling for multiple potential confounders/predictors, being Black was associated with a 3.55 mmHg elevation in SBP relative to being Hispanic. There were no significant Black/Hispanic differences in physical function measures. Seven independent variables significantly predicted better physical function: being male, younger, having fewer comorbidities, lower BMI, fewer depressive symptoms, higher health literacy, and current alcohol drinking (vs. abstinence). Our data provide a unique comparison of homebound Black and Hispanic stroke survivors at heightened risk of recurrent stroke absent targeted intervention. The finding of a significant Black/Hispanic disparity in SBP is striking in this narrowly defined home health care population all of whom are at risk for recurrent stroke. Priority should be given to culturally tailored interventions designed to link vulnerable home care patients to continuous, responsive hypertension care.

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References

  1. Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, et al. Heart disease and stroke statistics-2017 update: a report from the American Heart Association. Circulation. 2017;135(10):e146–603.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Park JH, Ovbiagele B. Association of black race with recurrent stroke risk. J Neurol Sci. 2016;365:203–6.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Morgenstern LB, Kissela BM. Stroke disparities: large global problem that must be addressed. Stroke. 2015;46(12):3560–3.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Qian F, Fonarow GC, Smith EE, Xian Y, Pan W, Hannan EL, et al. Racial and ethnic differences in outcomes in older patients with acute ischemic stroke. Circ Cardiovasc Qual Outcomes. 2013;6(3):284–92.

    Article  PubMed  Google Scholar 

  5. Bravata DM, Wells CK, Gulanski B, Kernan WN, Brass LM, Long J, et al. Racial disparities in stroke risk factors: the impact of socioeconomic status. Stroke. 2005;36(7):1507–11.

    Article  PubMed  Google Scholar 

  6. George MG, Fischer L, Koroshetz W, Bushnell C, Frankel M, Foltz J, et al. CDC grand rounds: public health strategies to prevent and treat strokes. MMWR Morb Mortal Wkly Rep. 2017;66(18):479–81.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Nadruz W Jr, Claggett B, Henglin M, Shah AM, Skali H, Rosamond WD, et al. Racial disparities in risks of stroke. N Engl J Med. 2017;376(21):2089–90.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Yang Q, Tong X, Schieb L, Vaughan A, Gillespie C, Wiltz JL, et al. Vital signs: recent trends in stroke death rates - United States, 2000-2015. MMWR Morb Mortal Wkly Rep. 2017;66(35):933–9.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Lisabeth LD, Smith MA, Brown DL, Moye LA, Risser JMH, Morgenstern LB. Ethnic differences in stroke recurrence. Ann Neurol. 2006;60(4):469–75.

    Article  PubMed  Google Scholar 

  10. Skolarus LE, Feng C, Burke JF. No racial difference in rehabilitation therapy across all post-acute care settings in the year following a stroke. Stroke. 2017;48(12):3329–35.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Burke JF, Freedman VA, Lisabeth LD, Brown DL, Haggins A, Skolarus LE. Racial differences in disability after stroke: results from a nationwide study. Neurology. 2014;83(5):390–7.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Burke JF, Skolarus LE, Freedman VA. Racial disparities in poststroke activity limitations are not due to differences in prestroke activity limitation. J Stroke Cerebrovasc Dis. 2015;24(7):1636–9.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Stansbury JP, Jia H, Williams LS, Vogel WB, Duncan PW. Ethnic disparities in stroke: epidemiology, acute care, and postacute outcomes. Stroke. 2005;36(2):374–86.

    Article  PubMed  Google Scholar 

  14. Ellis C, Hyacinth HI, Beckett J, Feng W, Chimowitz M, Ovbiagele B, et al. Racial/ethnic differences in poststroke rehabilitation outcomes. Stroke Res Treat. 2014;2014:950746.

    PubMed  PubMed Central  Google Scholar 

  15. Skolarus LE, Burke JF. Towards an understanding of racial differences in post-stroke disability. Curr Epidemiol Rep. 2015;2(3):191–6.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Sacco RL, Boden-Albala B, Abel G, Lin IF, Elkind M, Hauser WA, et al. Race-ethnic disparities in the impact of stroke risk factors: the northern Manhattan stroke study. Stroke. 2001;32(8):1725–31.

    Article  CAS  PubMed  Google Scholar 

  17. Gutierrez J, Williams OA. A decade of racial and ethnic stroke disparities in the United States. Neurology. 2014;82(12):1080–2.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Boutin-Foster C, Ogedegbe G, Ravenell JE, Robbins L, Charlson ME. Ascribing meaning to hypertension: a qualitative study among African Americans with uncontrolled hypertension. Ethn Dis. 2007;17(1):29–34.

    PubMed  Google Scholar 

  19. Cruz-Flores S, Rabinstein A, Biller J, Elkind MS, Griffith P, Gorelick PB, et al. Racial-ethnic disparities in stroke care: the American experience: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2011;42(7):2091–116.

    Article  PubMed  Google Scholar 

  20. Levine DA, Neidecker MV, Kiefe CI, Karve S, Williams LS, Allison JJ. Racial/ethnic disparities in access to physician care and medications among US stroke survivors. Neurology. 2011;76(1):53–61.

    Article  CAS  PubMed  Google Scholar 

  21. Josiah Willock R, Miller JB, Mohyi M, Abuzaanona A, Muminovic M, Levy PD. Therapeutic inertia and treatment intensification. Curr Hypertens Rep. 2018;20(1):4.

    Article  CAS  PubMed  Google Scholar 

  22. Okonofua EC, Cutler NE, Lackland DT, Egan BM. Ethnic differences in older Americans: awareness, knowledge, and beliefs about hypertension. Am J Hypertens. 2005;18(7):972–9.

    Article  PubMed  Google Scholar 

  23. Addo J, Ayerbe L, Mohan KM, Crichton S, Sheldenkar A, Chen R, et al. Socioeconomic status and stroke: an updated review. Stroke. 2012;43(4):1186–91.

    Article  PubMed  Google Scholar 

  24. Romano JG, Sacco RL. Quantifying and addressing persistent stroke disparities in Hispanics. Ann Neurol. 2013;74(6):759–61.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Andersen R, Newman JF. Societal and individual determinants of medical care utilization in the United States. Milbank Mem Fund Q Health Soc. 1973;51(1):95–124.

    Article  CAS  PubMed  Google Scholar 

  26. Feldman PH, McDonald MV, Trachtenberg MA, Schoenthaler A, Coyne N, Teresi J. Center for stroke disparities solutions community- based care transition interventions: study protocol of a randomized controlled trial. Trials. 2015;16:32.

    Article  PubMed  PubMed Central  Google Scholar 

  27. U.S. Centers for Medicare/Medicaid Services. Research Statistics Data and Systems. Medicare Current Beneficiary Survey 2015/Methodology Report https://www.cms.gov/Research-Statistics-Data-and-Systems/Research/MCBS/Downloads/MCBS2015MethodReport508.pdf Downloaded on 11/8/2018.

  28. Bennett JA, Riegel B, Bittner V, Nichols J. Validity and reliability of the NYHA classes for measuring research outcomes in patients with cardiac disease. Heart Lung. 2002;31(4):262–70.

    Article  PubMed  Google Scholar 

  29. Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. Six-item screener to identify cognitive impairment among potential subjects for clinical research. Med Care. 2002;40(9):771–81.

    Article  PubMed  Google Scholar 

  30. Kelly MA, Morse JQ, Stover A, Hofkens T, Huisman E, Shulman S, et al. Describing depression: congruence between patient experiences and clinical assessments. Br J Clin Psychol. 2011;50(1):46–66.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Choi SW, Reise SP, Pilkonis PA, Hays RD, Cella D. Efficiency of static and computer adaptive short forms compared to full-length measures of depressive symptoms. Qual Life Res. 2010;19(1):125–36.

    Article  PubMed  Google Scholar 

  32. Teresi JA, Ocepek-Welikson K, Kleinman M, Eimicke JP, Crane PK, Jones RN, et al. Analysis of differential item functioning in the depression item bank from the patient reported outcome measurement information system (PROMIS): an item response theory approach. Psychol Sci Q. 2009;51(2):148–80.

    PubMed  PubMed Central  Google Scholar 

  33. Reeve BB, Hays RD, Bjorner JB, Cook KF, Crane PK, Teresi JA, et al. Psychometric evaluation and calibration of health-related quality of life item banks: plans for the patient-reported outcomes measurement information system (PROMIS). Med Care. 2007;45(5 Suppl 1):S22–31.

    Article  PubMed  Google Scholar 

  34. Reeve BB. Special issues for building computerized-adaptive tests for measuring patient-reported outcomes: the National Institute of Health’s investment in new technology. Med Care. 2006;44(11 Suppl 3):S198–204.

    Article  PubMed  Google Scholar 

  35. Bruce B, Fries JF, Ambrosini D, Lingala B, Gandek B, Rose M, et al. Better assessment of physical function: item improvement is neglected but essential. Arthritis Res Ther. 2009;11(6):R191.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Mahoney FI, Barthel DW. Functional evaluation: the Barthel index. Md State Med J. 1965;14:61–5.

    CAS  PubMed  Google Scholar 

  37. Ohura T, Hase K, Nakajima Y, Nakayama T. Validity and reliability of a performance evaluation tool based on the modified Barthel index for stroke patients. BMC Med Res Methodol. 2017;17(1):131.

    Article  PubMed  PubMed Central  Google Scholar 

  38. 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):373–83.

    Article  CAS  PubMed  Google Scholar 

  39. Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36(8):588–94.

    PubMed  Google Scholar 

  40. Lorig KR, Sobel DS, Ritter PL, Laurent D, Hobbs M. Effect of a self-management program on patients with chronic disease. Eff Clin Pract. 2001;4(6):256–62.

    CAS  PubMed  Google Scholar 

  41. Gatti ME, Jacobson KL, Gazmararian JA, Schmotzer B, Kripalani S. Relationships between beliefs about medications and adherence. Am J Health Syst Pharm. 2009;66(7):657–64.

    Article  PubMed  Google Scholar 

  42. Horne RWJ, Hankins M. The beliefs about medicines questionnaire: the development and evaluation of a new method for assessing the cognitive representation of medication. Psychol Health. 1999;14(1):1–24.

    Article  Google Scholar 

  43. Dubois B, Slachevsky A, Litvan I, Pillon B. The FAB: a frontal assessment battery at bedside. Neurology. 2000;55(11):1621–6.

    Article  CAS  PubMed  Google Scholar 

  44. Glasgow RE, Wagner EH, Schaefer J, Mahoney LD, Reid RJ, Greene SM. Development and validation of the patient assessment of chronic illness care (PACIC). Med Care. 2005;43(5):436–44.

    Article  PubMed  Google Scholar 

  45. Revelle W. psych: procedures for personality and psychogical research. (R package version 15.1d). 2015.

  46. Williams O, Leighton-Herrmann Quinn E, Teresi J, Eimicke JP, Kong J, Ogedegbe G, et al. Improving community stroke preparedness in the HHS (hip-hop stroke) randomized clinical trial. Stroke. 2018;49(4):972–9.

    Article  PubMed  PubMed Central  Google Scholar 

  47. CDC (2014) National Vital Statistics Report. Vol. 64, No 2 Table 17. http://www.cdc.gov/nchs/data/nvsr/nvsr64/nvsr64_02.pdf

  48. Sealy-Jefferson S, Wing JJ, Sanchez BN, Brown DL, Meurer WJ, Smith MA, et al. Age- and ethnic-specific sex differences in stroke risk. Gend Med. 2012;9(2):121–8.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Baruch College, Weissman Center for International Business. NYC data: population by age, ,mutually exclusive race and Hispanic origin, and sex. http://www.baruch.cuny.edu/nycdata/population-geography/pop-demography.htm Downloaded 11/7/18.

  50. Palmer AJ, Bulpitt CJ, Fletcher AE, Beevers DG, Coles EC, Ledingham JG, et al. Relation between blood pressure and stroke mortality. Hypertension. 1992;20(5):601–5.

    Article  CAS  PubMed  Google Scholar 

  51. Howard G, Lackland DT, Kleindorfer DO, Kissela BM, Moy CS, Judd SE, et al. Racial differences in the impact of elevated systolic blood pressure on stroke risk. JAMA Intern Med. 2013;173(1):46–51.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Dong C, Della-Morte D, Rundek T, Wright CB, Elkind MS, Sacco RL. Evidence to maintain the systolic blood pressure treatment threshold at 140 mm hg for stroke prevention: the northern Manhattan study. Hypertension. 2016;67(3):520–6.

    Article  CAS  PubMed  Google Scholar 

  53. Thilarajah S, Mentiplay BF, Bower KJ, Tan D, Pua YH, Williams G, et al. Factors associated with post-stroke physical activity: a systematic review and meta-analysis. Arch Phys Med Rehabil. 2017.

  54. Hergenroeder AL, Wert DM, Hile ES, Studenski SA, Brach JS. Association of body mass index with self-report and performance-based measures of balance and mobility. Phys Ther. 2011;91(8):1223–34.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Goldmann E, Roberts ET, Parikh NS, Lord AS, Boden-Albala B. Race/ethnic differences in post-stroke depression (PSD): findings from the stroke warning information and faster treatment (SWIFT) study. Ethn Dis. 2016;26(1):1–8.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Chayer C, Freedman M. Frontal lobe functions. Curr Neurol Neurosci Rep. 2001;1(6):547–52.

    Article  CAS  PubMed  Google Scholar 

  57. Mlinac ME, Feng MC. Assessment of activities of daily living, self-care, and independence. Arch Clin Neuropsychol. 2016;31(6):506–16.

    Article  PubMed  Google Scholar 

  58. Murtagh KN, Hubert HB. Gender differences in physical disability among an elderly cohort. Am J Public Health. 2004;94(8):1406–11.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Ellis CMGW, B. Racial differences in patient-reported post-stroke disability in older adults. Geriatrics 2017(2):9.

  60. Goldberg RJ, McManus DD, Allison J. Greater knowledge and appreciation of commonly-used research study designs. Am J Med. 2013;126(2):169.e1–8.

    Article  Google Scholar 

  61. Caffrey C, Sengupta M, Moss A, Harris-Kojetin L, Valverde R. Home health care and discharged hospice care patients: United States, 2000 and 2007. Natl Health Stat Rep. 2011;(38):1–27.

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Acknowledgments

This study was supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Number U54NS081765.

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Correspondence to Margaret V. McDonald.

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All procedures performed in this study were in accordance with the ethical standards of the institution and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Feldman, P.H., McDonald, M.V., Eimicke, J. et al. Black/Hispanic Disparities in a Vulnerable Post-Stroke Home Care Population. J. Racial and Ethnic Health Disparities 6, 525–535 (2019). https://doi.org/10.1007/s40615-018-00551-y

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