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Research Articles

Determinants of Healthcare Expenditures among People with Aphasia: Importance of Race, Sex, Residence, and Aphasia Type

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Pages 577-592 | Received 26 Oct 2022, Accepted 17 May 2023, Published online: 23 May 2023

References

  • Basso, A., Capitani, E., & Moraschini, S. (1982). Sex Differences in Recovery from Aphasia. Cortex, 18(3), 469–475. https://doi.org/10.1016/S0010-9452(82)80044-0
  • Berthier, M. L. (2005). Poststroke Aphasia. Drugs & Aging, 22(2), 163–182. https://doi.org/10.2165/00002512-200522020-00006
  • Bhandari, V. K., Kushel, M., Price, L., & Schillinger, D. (2005). Racial disparities in outcomes of inpatient stroke rehabilitation. Archives of Physical Medicine and Rehabilitation, 86(11), 2081–2086.
  • Boehme, A. K., Martin-Schild, S., Marshall, R. S., & Lazar, R. M. (2016). Effect of aphasia on acute stroke outcomes. Neurology, 87(22), 2348–2354. https://doi.org/10.1212/WNL.0000000000003297
  • Bottigliengo, D., Baldi, I., Lanera, C., Lorenzoni, G., Bejko, J., Bottio, T., Tarzia, V., Carrozzini, M., Gerosa, G., Berchialla, P., & Gregori, D. (2021). Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings. BMC Medical Research Methodology, 21(1), 256. https://doi.org/10.1186/s12874-021-01454-z
  • Chiou-Tan, F. Y., Keng Jr, M. J., Graves, D. E., Chan, K.-T., & Rintala, D. H. (2006). Racial/ethnic differences in FIMTM scores and length of stay for underinsured patients undergoing stroke inpatient rehabilitation. American Journal of Physical Medicine & Rehabilitation, 85(5), 415–423.
  • Cuckler, G., Martin, A., Whittle, L., Heffler, S., Sisko, A., Lassman, D., & Benson, J. (2011). Health Spending by State of Residence, 1991–2009. Medicare & Medicaid Research Review, 1(4), E1–E31. https://doi.org/10.5600/mmrr.001.04.a03
  • Dawson, J., Lees, J. S., Chang, T.-P., Walters, M. R., Ali, M., Davis, S. M., Diener, H.-C., & Lees, K. R. (2007). Association Between Disability Measures and Healthcare Costs After Initial Treatment for Acute Stroke. Stroke, 38(6), 1893–1898. https://doi.org/10.1161/STROKEAHA.106.472381
  • Dwyer, M., Rehman, S., Ottavi, T., Stankovich, J., Gall, S., Peterson, G., Ford, K., & Kinsman, L. (2019). Urban-rural differences in the care and outcomes of acute stroke patients: Systematic review. Journal of the Neurological Sciences, 397, 63–74. https://doi.org/10.1016/j.jns.2018.12.021
  • Ellis, C., Boan, A. D., Turan, T. N., Ozark, S., Bachman, D., & Lackland, D. T. (2005). Racial differences in poststroke rehabilitation utilization and functional outcomes. MMWR. Morbidity and Mortality Weekly Report, 54(1), 3–6. https://doi.org/10.1016/j.apmr.2014.08.018
  • Ellis, C., Grubaugh, A. L., & Egede, L. E. (2012). The Association between Major Depression, Health Behaviors, and Quality of Life in Adults with Stroke. International Journal of Stroke, 7(7), 536–543. https://doi.org/10.1111/j.1747-4949.2011.00708.x
  • Ellis, C., Hardy, R. Y., & Lindrooth, R. C. (2017). Greater healthcare utilization and costs among Black persons compared to White persons with aphasia in the North Carolina stroke belt. Journal of the Neurological Sciences, 376, 76–83. https://doi.org/10.1016/j.jns.2017.02.062
  • Ellis, C., Hyacinth, H. I., Beckett, J., Feng, W., Chimowitz, M., Ovbiagele, B., Lackland, D., & Adams, R. (2014). Racial/Ethnic Differences in Poststroke Rehabilitation Outcomes. Stroke Research and Treatment, 2014, 1–12. https://doi.org/10.1155/2014/950746
  • Ellis, C., & Jacobs, M. (2021). The Cost of Social Distancing for Persons With Aphasia During COVID-19: A Need for Social Connectedness. Journal of Patient Experience, 8, 23743735211008310–23743735211008310. https://doi.org/10.1177/23743735211008311
  • Ellis, C., & Peach, R. K. (2017). Racial-Ethnic Differences in Word Fluency and Auditory Comprehension Among Persons With Poststroke Aphasia. Archives of Physical Medicine and Rehabilitation, 98(4), 681–686. https://doi.org/10.1016/j.apmr.2016.10.010
  • Ellis, C., Peach, R. K., Hardy, R. Y., & Lindrooth, R. C. (2017). The influence of race on SLP utilisation and costs among persons with aphasia. Aphasiology, 31(12), 1433–1440. https://doi.org/10.1080/02687038.2017.1303440
  • Ellis, C., Simpson, A. N., Bonilha, H., Mauldin, P. D., & Simpson, K. N. (2012). The One-Year Attributable Cost of Poststroke Aphasia. Stroke, 43(5), 1429–1431. https://doi.org/10.1161/STROKEAHA.111.647339
  • Foster, A., Worrall, L., Rose, M., & O’Halloran, R. (2015). ‘That doesn’t translate’: the role of evidence-based practice in disempowering speech pathologists in acute aphasia management. International Journal of Language & Communication Disorders, 50(4), 547–563. https://doi.org/10.1111/1460-6984.12155
  • Gadson, D. S., Wesley, D. B., van der Stelt, C. M., Lacey, E., DeMarco, A. T., Snider, S. F., & Turkeltaub, P. E. (2022). Aphasia severity is modulated by race and lesion size in chronic survivors: A retrospective study. Journal of Communication Disorders, 100, 106270. https://doi.org/10.1016/j.jcomdis.2022.106270
  • Graham, J. E., Middleton, A., Roberts, P., Mallinson, T., & Prvu-Bettger, J. (2018). Health Services Research in Rehabilitation and Disability—The Time is Now. Archives of Physical Medicine and Rehabilitation, 99(1), 198–203. https://doi.org/10.1016/j.apmr.2017.06.026
  • Gulseth, M. P. (2008). Applying Quality Measures and Guidelines in the Management of Acute Coronary Syndrome and Venous Thromboembolism Introduction. Journal of Managed Care Pharmacy, 14 (6Supp A), 2–3. https://doi.org/10.18553/jmcp.2008.14.S6-A.2
  • Hardy, R. Y., Lindrooth, R. C., Peach, R. K., & Ellis, C. (2019). Urban-Rural Differences in Service Utilization and Costs of Care for Racial-Ethnic Groups Hospitalized With Poststroke Aphasia. Archives of Physical Medicine and Rehabilitation, 100(2), 254–260. https://doi.org/10.1016/j.apmr.2018.06.033
  • Heinrich, C., Maffioli, A., & Vazquez, G. (2010). A primer for applying propensity-score matching. Inter-American Development Bank.
  • Hsia, R. Y., Kellermann, A. L., & Shen, Y.-C. (2011). Factors Associated With Closures of Emergency Departments in the United States. JAMA, 305(19), 1978–1985. https://doi.org/10.1001/jama.2011.620
  • Jacobs, M., Briley, P. M., Fang, X., & Ellis, C. (2021). Telepractice Treatment for Aphasia: Association Between Clinical Outcomes and Client Satisfaction. Telemedicine Reports, 2(1), 118–124. https://doi.org/10.1089/tmr.2020.0024
  • Jacobs, M., & Ellis, C. (2023). Aphasianomics: estimating the economic burden of poststroke aphasia in the United States. Aphasiology, 37(1), 25–38. https://doi.org/10.1080/02687038.2021.1985426
  • Kertesz, A. (2007). Western Aphasia Battery–Revised. https://doi.org/10.1037/t15168-000
  • Komen, J. J., Belitser, S. V, Wyss, R., Schneeweiss, S., Taams, A. C., Pajouheshnia, R., Forslund, T., & Klungel, O. H. (2021). Greedy caliper propensity score matching can yield variable estimates of the treatment‐outcome association—A simulation study. Pharmacoepidemiology and Drug Safety, 30(7), 934–951. https://doi.org/10.1002/pds.5232
  • Lackland, D. T., Roccella, E. J., Deutsch, A. F., Fornage, M., George, M. G., Howard, G., Kissela, B. M., Kittner, S. J., Lichtman, J. H., Lisabeth, L. D., Schwamm, L. H., Smith, E. E., & Towfighi, A. (2014). Factors Influencing the Decline in Stroke Mortality. Stroke, 45(1), 315–353. https://doi.org/10.1161/01.str.0000437068.30550.cf
  • Lazar, R. M., & Boehme, A. K. (2017). Aphasia As a Predictor of Stroke Outcome. Current Neurology and Neuroscience Reports, 17(11), 83. https://doi.org/10.1007/s11910-017-0797-z
  • Lynn, B., Rivera, D., Griffin, R., & Williams, K. (2019). IPUMS Health Surveys: Medical Expenditure Panel Survey, Version 1.1 [ dataset]. https://doi.org/10.18128/D071.V1.1
  • Martin, A. B., Whittle, L., Heffler, S., Barron, M. C., Sisko, A., & Washington, B. (2007). Health Spending By State Of Residence, 1991–2004. Health Affairs, 26(Suppl2), w651–w663. https://doi.org/10.1377/hlthaff.26.6.w651
  • Mirman, D., Strauss, T. J., Brecher, A., Walker, G. M., Sobel, P., Dell, G. S., & Schwartz, M. F. (2010). A large, searchable, web-based database of aphasic performance on picture naming and other tests of cognitive function. Cognitive Neuropsychology, 27(6), 495–504. https://doi.org/10.1080/02643294.2011.574112
  • Ottenbacher, K. J., Campbell, J., Kuo, Y.-F., Deutsch, A., Ostir, G. V, & Granger, C. V. (2008). Racial and Ethnic Differences in Postacute Rehabilitation Outcomes After Stroke in the United States. Stroke, 39(5), 1514–1519. https://doi.org/10.1161/STROKEAHA.107.501254
  • Paolucci, S., Bragoni, M., Coiro, P., De Angelis, D., Fusco, F. R., Morelli, D., Venturiero, V., & Pratesi, L. (2006). Is Sex a Prognostic Factor in Stroke Rehabilitation? Stroke, 37(12), 2989–2994. https://doi.org/10.1161/01.STR.0000248456.41647.3d
  • Petrea, R. E., Beiser, A. S., Seshadri, S., Kelly-Hayes, M., Kase, C. S., & Wolf, P. A. (2009). Gender differences in stroke incidence and poststroke disability in the Framingham heart study. Stroke, 40(4), 1032–1037. https://doi.org/10.1161/STROKEAHA.108.542894
  • Pinkhasov, R. M., Wong, J., Kashanian, J., Lee, M., Samadi, D. B., Pinkhasov, M. M., & Shabsigh, R. (2010). Are men shortchanged on health? Perspective on health care utilization and health risk behavior in men and women in the United States. International Journal of Clinical Practice, 64(4), 475–487. https://doi.org/10.1111/j.1742-1241.2009.02290.x
  • Reistetter, T. A., Karmarkar, A. M., Graham, J. E., Eschbach, K., Kuo, Y.-F., Granger, C. V, Freeman, J., & Ottenbacher, K. J. (2014). Regional Variation in Stroke Rehabilitation Outcomes. Archives of Physical Medicine and Rehabilitation, 95(1), 29–38. https://doi.org/10.1016/j.apmr.2013.07.018
  • Roth, D. L., Sheehan, O. C., Huang, J., Rhodes, J. D., Judd, S. E., Kilgore, M., Kissela, B., Bettger, J. P., & Haley, W. E. (2016). Medicare claims indicators of healthcare utilization differences after hospitalization for ischemic stroke: Race, gender, and caregiving effects. International Journal of Stroke, 11(8), 928–934. https://doi.org/10.1177/1747493016660095
  • Rothwell, P., Coull, A., Silver, L., Fairhead, J., Giles, M., Lovelock, C., Redgrave, J., Bull, L., Welch, S., Cuthbertson, F., Binney, L., Gutnikov, S., Anslow, P., Banning, A., Mant, D., & Mehta, Z. (2005). Population-based study of event-rate, incidence, case fatality, and mortality for all acute vascular events in all arterial territories (Oxford Vascular Study). The Lancet, 366(9499), 1773–1783. https://doi.org/10.1016/S0140-6736(05)67702-1
  • Sharma, S., Briley, P. M., Wright, H. H., Perry, J. L., Fang, X., & Ellis, C. (2019). Gender differences in aphasia outcomes: Evidence from the AphasiaBank. International Journal of Language & Communication Disorders, 54(5), 806–813.
  • Skolarus, L. E., Feng, C., & Burke, J. F. (2017). No Racial Difference in Rehabilitation Therapy Across All Post-Acute Care Settings in the Year Following a Stroke. Stroke, 48(12), 3329–3335. https://doi.org/10.1161/STROKEAHA.117.017290
  • Vallejo, G., Tuero-Herrero, E., Núñez, J. C., & Rosário, P. (2014). Performance evaluation of recent information criteria for selecting multilevel models in Behavioral and Social Sciences. International Journal of Clinical and Health Psychology, 14(1), 48–57. https://doi.org/10.1016/S1697-2600(14)70036-5
  • Wallentin, M. (2018). Sex differences in post-stroke aphasia rates are caused by age. A meta-analysis and database query. PLOS ONE, 13(12), e0209571. https://doi.org/10.1371/journal.pone.0209571
  • Williams, J. S., & Egede, L. E. (2020). Differences in Medical Expenditures for Men and Women with Diabetes. Women’s Health Reports, 1(1), 345–353.
  • Williams, T. S., McDonald, K. P., Roberts, S. D., Dlamini, N., DeVeber, G., & Westmacott, R. (2017). Prevalence and Predictors of Learning and Psychological Diagnoses Following Pediatric Arterial Ischemic Stroke. Developmental Neuropsychology, 42(5), 309–322. https://doi.org/10.1080/87565641.2017.1353093
  • Yu, A. Y. X., Krahn, M., Austin, P. C., Rashid, M., Fang, J., Porter, J., Vyas, M. V, Bronskill, S. E., Smith, E. E., Swartz, R. H., & Kapral, M. K. (2021). Sex differences in direct healthcare costs following stroke: a population-based cohort study. BMC Health Services Research, 21(1), 619. https://doi.org/10.1186/s12913-021-06669-w

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