Aphasianomics: estimating the economic burden of poststroke aphasia in the United States

References

• American College of Physicians. (2011). How can our nation conserve and distribute health
   Google Scholar
• American Speech-Language-Hearing Association. (2017). Adult speech and language-aphasia. Available at: http://www.asha.org/public/speech/disorders/Aphasia/
   Google Scholar
• American Speech-Language-Hearing Association (2020). ASHA member advocacy: An overview. Available at: https://www.asha.org/advocacy/advocacy-overview/
   Google Scholar
• Bakheit, A. M. O. (2004). Drug treatment of poststroke aphasia. Expert Review of Neurotherapeutics, 4(2), 211–217. https://doi.org/10.1586/14737175.4.2.211
   PubMedGoogle Scholar
• Bart, L., & Long, S. K. (2017). Many patients who struggle to pay for health care don’t trust providers to tell them the cost of treatment options. Urban Institute. http://hrms.urban.org/quicktakes/many-patients-struggle-pay-health-care-dont-trust-providers-tell-cost-treatment.html.
   Google Scholar
• Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN. (2018). Heart disease and stroke statistics—2019 update: a report from the American Heart Association. Circulation. 2019 Mar 5;139(10):e56–28.https://doi.org/10.1161/CIR.0000000000000659
   Google Scholar
• Boyer, N., Jordan, N., & Cherney, L. R. (2020). Implementation cost analysis of an intensive comprehensive aphasia program. Archives of physical medicine and rehabilitation.
   Google Scholar
• Centers for Disease Control and Prevention. (2017, April 26). Five-part webcast on economic evaluation [webinar]. Division for Heart Disease and Stroke Prevention. https://www.cdc.gov/dhdsp/evaluation_resources/economic_evaluation/index.htm
   Google Scholar
• Cunningham, P. J. (2009). High medical cost burdens, patient trust, and perceived quality of care. Journal of General Internal Medicine,24(3), 415–420. https://doi.org/10.1007/s11606-008-0879–3
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Ellis, C., Hardy, R. Y., Lindrooth, R. C., & Peach, R. K. (2018). Rate of aphasia among stroke patients discharged from hospitals in the United States. Aphasiology, 32(9), 1075–1086. https://doi.org/10.1080/02687038.2017.1385052
   Web of Science ®Google Scholar
• Ellis, C., Lindrooth, R. C., & Horner, J. (2014). Retrospective cost-effectiveness analysis of treatments for aphasia: An approach using experimental data. American Journal of Speech-language Pathology, 23(2), 186–195. https://doi.org/10.1044/2013_AJSLP-13-0037
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Fayer, S., & Watson, A. (2015). BLS Spotlight on Statistics: Employment And Wages In Healthcare Occupations. Accessed December 5, 2020. https://hdl.handle.net/1813/79241
   Google Scholar
• Frank, L., Concannon, T. W., & Patel, K. (2020). Health care resource allocation decision making during a pandemic. RAND Corporation, Santa Monica, Calif. https://www.rand.org/content/dam/rand/pubs/research_reports/RRA300/RRA326-1/RAND_RRA326-1.pdf.
   Google Scholar
• Haddix, A. C., Teutsch, S. M., & Corso, P. S. (Eds.). (2003). Prevention effectiveness: A guide to decision analysis and economic evaluation. Oxford University Press.
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Jacobs, M., Briley, P. M., Wright, H. H., & Ellis, C. (2021). Marginal assessment of the cost and benefits of aphasia treatment: Evidence from community-based telerehabilitation treatment for aphasia. Journal of Telemedicine and Telecare. doi:10.1177/1357633X20982773
   PubMed Web of Science ®Google Scholar
• Jo, C. (2014). Cost-of-illness studies: Concepts, scopes, and methods. Clinical and Molecular Hepatology, 20(4), 327. https://doi.org/10.3350/cmh.2014.20.4.327
   PubMedGoogle Scholar
• Johnston, K. M., Lakzadeh, P., Donato, B. M., & Szabo, S. M. (2019). Methods of sample size calculation in descriptive retrospective burden of illness studies. BMC Medical Research Methodology, 19(1), 9. https://doi.org/10.1186/s12874-018-0657-9
   PubMed Web of Science ®Google Scholar
• Joo, H., Dunet, D. O., Fang, J., & Wang, G. (2014). Cost of informal caregiving associated with stroke among the elderly in the United States. Neurology, 83(20), 1831–1837. https://doi.org/10.1212/WNL.0000000000000986
   PubMed Web of Science ®Google Scholar
• Joo, H., Wang, G., Yee, S. L., Zhang, P., & Sleet, D. (2017). Economic burden of informal caregiving associated with history of stroke and falls among older adults in the US. American Journal of Preventive Medicine, 53(6), S197–S204. https://doi.org/10.1016/j.amepre.2017.07.020
   PubMed Web of Science ®Google Scholar
• Komen, J. J., Belitser, S. V., Wyss, R., Schneeweiss, S., Taams, A. C., Pajouheshnia, R., … Klungel, O. H. (2021).
   Google Scholar
• Greedy caliper propensity score matching can yield variable estimates of the treatment-outcome association—A simulation study. Pharmacoepidemiol Drug Saf. 30: 934– 951. https://doi.org/10.1002/pds.5232
   Google Scholar
• Larg, A., & Moss, J. R. (2011). Cost-of-illness studies. Pharmacoeconomics, 29(8), 653–671. https://doi.org/10.2165/11588380-000000000-00000
   PubMed Web of Science ®Google Scholar
• National Center for Chronic Disease Prevention and Health Promotion. (2021). Health and economic costs of chronic diseases. https://www.cdc.gov/chronicdisease/about/costs/index.htm
   Google Scholar
• Palmer, R., Dimairo, M., Cooper, C., Enderby, P., Brady, M., Bowen, A., … Chater, T. (2019). Self-managed, computerised speech and language therapy for patients with chronic aphasia post-stroke compared with usual care or attention control (Big CACTUS): A multicentre, single-blinded, randomised controlled trial. The Lancet Neurology, 18(9), 821–833. https://doi.org/10.1016/S1474-4422(19)30192-9
   PubMed Web of Science ®Google Scholar
• Rice, D. P. (2000). Cost of illness studies: What is good about them? Injury Prevention, 6(3), 177–179. https://doi.org/10.1136/ip.6.3.177
   PubMedGoogle Scholar
• Robert Wood Johnson Foundation (2013). Addressing rising health care costs workshop summary. https://www.healthcarevaluehub.org/application/files/5215/6380/5183/101264_HealthCareCostsConferenceReport.pdf
   Google Scholar
• SAS Institute Inc. (2013). SAS® 9.4 Statements: Reference.
   Google Scholar
• Simmons-Mackie, N. Aphasia in North America. State of Aphasia Report - Aphasia Access, https://www.aphasiaaccess.org/white-papers/. (2018, accessed 7 October 2020). Plural Publishing Inc.
   Google Scholar
• Skolarus, L. E., Freedman, V. A., Feng, C., Wing, J. J., & Burke, J. F. (2016). Care received by elderly US stroke survivors may be underestimated. Stroke, 47(8), 2090–2095. https://doi.org/10.1161/STROKEAHA.116.012704
   PubMed Web of Science ®Google Scholar
• Virani, S.S., Alonso, A., Aparicio, H.J., Benjamin, E.J., Bittencourt, M.S., Callaway, C.W., Carson, A.P., Chamberlain, A.M., Cheng, S., Delling, F.N. and Elkind, M.S., (2021). Heart disease and stroke statistics-2021 update: A report from the American Heart Association. Circulation, 143(8), e254–e743. https://doi.org/10.1161/CIR.0000000000000950
   Google Scholar
• World Health Organization. (2020). Economic burden of disease. Available at: https://www.who.int/choice/economicburden/en/
   Google Scholar