Moving Towards Equity With Digital Health Innovations for Stroke Care
Open accessAbstract
Digital health has long been championed as a means to expanding access to health care. Now that the COVID-19 pandemic accelerated many health systems’ integration of digital tools for care, digital health may provide a path towards more accessible stroke prevention and treatment, particularly for historically disadvantaged patient populations. Stroke management is composed of multiple time points where digital health innovations have the potential to augment health access and treatment: from primary prevention, to the time-sensitive detection of ischemic stroke, administration of thrombolytic agents and consideration for endovascular interventions, to appropriate post-acute care, rehabilitation, and lifelong secondary stroke prevention—stroke care relies on a multidisciplinary and standardized approach. However, as we discuss pointedly in this Focused Update, underrepresented individuals face multilevel digital health disparities that potentially diminish the benefits of these digital advances. As such, these multilevel needs must be discussed and accounted for as health systems seek to integrate innovative and equitable digital health solutions towards stroke care.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
High-quality evidence supports the feasibility and efficacy of TR in post-stroke recovery.
“High-quality evidence supports its feasibility and efficacy in post-stroke recovery6–9.”
From ORLA combined with telerehabilitation in patients with subacute Poststroke aphasia: a randomized controlled trial (2025) · cites this paper as [7]
The Post-stroke rehabilitation section reports moderate-level evidence that telerehabilitation is more effective than or similarly effective to usual care, and describes patient engagement with remote therapy. That supports aspects of efficacy and feasibility, but the claim overstates the evidence as high-quality and does not reflect the paper’s cautions about barriers to access and use. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association
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., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000950 · Cited by 5,784 · see citing works
O'Donnell, M. J., Xavier, D., Liu, L., Zhang, H., Chin, S. L., Rao-Melacini, P., Rangarajan, S., Islam, S., Pais, P., McQueen, M. J., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60834-3 · Cited by 3,448 · see citing works
Kleindorfer, D. O., Towfighi, A., Chaturvedi, S., Cockroft, K. M., Gutierrez, J., Lombardi-Hill, D., Kamel, H., Kernan, W. N., Kittner, S. J., Leira, E. C., et al. (2021) · Stroke · doi:10.1161/str.0000000000000375 · Cited by 3,237 · see citing works
Self-citationMeschia, J. F., Bushnell, C., Boden-Albala, B., Braun, L. T., Bravata, D. M., Chaturvedi, S., Creager, M. A., Eckel, R. H., Elkind, M. S. V., Fornage, M., et al. (2014) · Stroke · doi:10.1161/str.0000000000000046 · Cited by 2,650 · see citing works
The Reasons for Geographic and Racial Differences in Stroke Study: Objectives and Design
Howard, V. J., Cushman, M., Pulley, L., Gomez, C. R., Go, R. C. P., Prineas, R. J., Graham, A., Moy, C. S., & Howard, G. (2005) · Neuroepidemiology · doi:10.1159/000086678 · Cited by 1,175 · see citing works
Trends in Blood Pressure Control Among US Adults With Hypertension, 1999-2000 to 2017-2018
Muntner, P., Hardy, S. T., Fine, L. J., Jaeger, B. C., Wozniak, G. D., Levitan, E. B., & Colantonio, L. D. (2020) · JAMA · doi:10.1001/jama.2020.14545 · Cited by 967 · see citing works
Kontos, E., Blake, K. D., Chou, W.-Y. S., & Prestin, A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3117 · Cited by 917 · see citing works
eHealth Literacy: Extending the Digital Divide to the Realm of Health Information
Neter, E., & Brainin, E. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1619 · Cited by 863 · see citing works
Ischemic Stroke Subtype Incidence Among Whites, Blacks, and Hispanics: The Northern Manhattan Study
White, H., Boden-Albala, B., Wang, C.-L., Elkind, M., Rundek, T., Wright, C., & Sacco, R. (2005) · Circulation · doi:10.1161/01.cir.0000157736.19739.d0 · Cited by 769 · see citing works
Risk and Cumulative Risk of Stroke Recurrence: A Systematic Review and Meta-Analysis
Mohan, K. M., Wolfe, C. D. A., Rudd, A. G., Heuschmann, P. U., Kolominsky-Rabas, P. L., & Grieve, A. P. (2011) · Stroke · doi:10.1161/strokeaha.110.602615 · Cited by 683 · see citing works
Telerehabilitation services for stroke
Laver, K., Adey‐Wakeling, Z., Crotty, M., Lannin, N. A., George, S., & Sherrington, C. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010255.pub3 · Cited by 614 · see citing works
Digital inclusion as a social determinant of health
Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00413-8 · Cited by 597 · see citing works
Socioeconomic status and hypertension: a meta-analysis
Leng, B., Jin, Y., Li, G., Chen, L., & Jin, N. (2015) · Journal of Hypertension · doi:10.1097/hjh.0000000000000428 · Cited by 528 · see citing works
Disparities in stroke incidence contributing to disparities in stroke mortality
Howard, V. J., Kleindorfer, D., Judd, S. E., McClure, L. A., Safford, M. M., Rhodes, J. D., Cushman, M., Moy, C. S., Soliman, E. Z., D, B. M. K. M., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22385 · Cited by 488 · see citing works
The Empirical Foundations of Telemedicine Interventions for Chronic Disease Management
Bashshur, R. L., Shannon, G. W., Smith, B. R., Alverson, D. C., Antoniotti, N., Barsan, W. G., Bashshur, N., Brown, E. M., Coye, M. J., Doarn, C. R., et al. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2014.9981 · Cited by 452 · see citing works
Schwamm, L. H., Holloway, R. G., Amarenco, P., Audebert, H. J., Bakas, T., Chumbler, N. R., Handschu, R., Jauch, E. C., Knight, W. A., Levine, S. R., et al. (2009) · Stroke · doi:10.1161/strokeaha.109.192360 · Cited by 449 · see citing works
Socioeconomic Status and Stroke
Addo, J., Ayerbe, L., Mohan, K. M., Crichton, S. L., Sheldenkar, A., Chen, R., Wolfe, C. D. A., & McKevitt, C. (2012) · Stroke · doi:10.1161/strokeaha.111.639732 · Cited by 428 · see citing works
Sarkar, U., Karter, A. J., Liu, J. Y., Adler, N. E., Nguyen, R., López, A., & Schillinger, D. (2010) · Journal of Health Communication · doi:10.1080/10810730.2010.499988 · Cited by 367 · see citing works
Morgenstern, L. B. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh225 · Cited by 350 · see citing works
Kleindorfer, D. O., Khoury, J., Moomaw, C., Alwell, K., Woo, D., Flaherty, M. L., Khatri, P., Adeoye, O., Ferioli, S., Broderick, J. P., et al. (2010) · Stroke · doi:10.1161/strokeaha.109.575043 · Cited by 344 · see citing works
Risk and Secondary Prevention of Stroke Recurrence
Flach, C., Muruet-Gutierrez, W., Wolfe, C. D. A., Bhalla, A., & Douiri, A. (2020) · Stroke · doi:10.1161/strokeaha.120.028992 · Cited by 338 · see citing works
Effectiveness of Community Health Workers in the Care of People with Hypertension
Brownstein, J. N., Chowdhury, F. M., Norris, S. L., Horsley, T., Jack, L., Zhang, X., & Satterfield, D. W. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.01.011 · Cited by 308 · see citing works
Improving Access to Care: Telemedicine Across Medical Domains
Barbosa, W. A., Zhou, K., Waddell, E. M., Myers, T. L., & Dorsey, E. R. (2021) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-090519-093711 · Cited by 302 · see citing works
Race/Ethnicity, Quality of Care, and Outcomes in Ischemic Stroke
Schwamm, L. H., Reeves, M. J., Pan, W., Smith, E. E., Frankel, M. R., Olson, D., Zhao, X., Peterson, E., & Fonarow, G. C. (2010) · Circulation · doi:10.1161/circulationaha.109.881490 · Cited by 292 · see citing works
Wechsler, L. R., Demaerschalk, B. M., Schwamm, L. H., Adeoye, O. M., Audebert, H. J., Fanale, C. V., Hess, D. C., Majersik, J. J., Nyström, K. V., Reeves, M. J., et al. (2016) · Stroke · doi:10.1161/str.0000000000000114 · Cited by 259 · see citing works
Brundisini, F. K., Giacomini, M. K., DeJean, D., Vanstone, M. G., Winsor, S., & Smith, A. L. (2013) · Europe PMC (PubMed Central) · Cited by 248 · see citing works
McLean, D. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.21.2355 · Cited by 234 · see citing works
Depressive Symptoms and Risk of Stroke
Salaycik, K. J., Kelly‐Hayes, M., Beiser, A., Nguyen, A.-H., Brady, S. M., Kase, C. S., & Wolf, P. A. (2006) · Stroke · doi:10.1161/01.str.0000251695.39877.ca · Cited by 231 · see citing works
Impact of multiple social determinants of health on incident stroke
Reshetnyak, E., Ntamatungiro, M., Pinheiro, L. C., Howard, V. J., Carson, A. P., Martin, K. D., & Safford, M. M. (2020) · Stroke · doi:10.1161/strokeaha.120.028530 · Cited by 214 · see citing works
Johnston, S. C., Fung, L., Gillum, L. A., Smith, W. S., Brass, L. M., Lichtman, J. H., & Brown, A. N. (2001) · Stroke · doi:10.1161/01.str.32.5.1061 · Cited by 207 · see citing works
Self-citationSchwamm, L. H., Chumbler, N. R., Brown, E., Fonarow, G. C., Berube, D., Nyström, K. V., Suter, R. E., Zavala, M., Polsky, D. E., Radhakrishnan, K., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000475 · Cited by 200 · see citing works
Allen, J. K., Dennison-Himmelfarb, C. R., Szanton, S. L., Bone, L., Hill, M. N., Levine, D. M., West, M., Barlow, A., Lewis-Boyer, L., Donnelly-Strozzo, M., et al. (2011) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.111.961573 · Cited by 187 · see citing works
Trends in Cardiovascular Disease Prevalence by Income Level in the United States
Abdalla, S. M., Yu, S., & Galea, S. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.18150 · Cited by 180 · see citing works
Hess, D. C., Wang, S. J., Hamilton, W., et al. (2005) · Stroke · doi:10.1161/01.str.0000177534.02969.e4 · Cited by 176 · see citing works
Persistent ischemic stroke disparities despite declining incidence in Mexican Americans
Morgenstern, L. B., Smith, M. A., Sánchez, B. N., Brown, D. L., Zahuranec, D. B., Garcia, N. M., Kerber, K. A., Skolarus, L. E., Meurer, W. J., Burke, J. F., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23972 · Cited by 159 · see citing works
The Stroke Riskometer™ App: Validation of a Data Collection Tool and Stroke Risk Predictor
Parmar, P. G. K., Krishnamurthi, R., Ikram, M. A., Albert Hofman, D., Mirza, S. S., Varakin, Y. Y., Kravchenko, M. A., Пирадов, М. А., Thrift, A. G., Norrving, B. G., et al. (2014) · International Journal of Stroke · doi:10.1111/ijs.12411 · Cited by 137 · see citing works
Streiff, M. B., Carolan, H. T., Hobson, D. B., Kraus, P. S., Holzmueller, C. G., Demski, R. J., Lau, B. D., Biscup-Horn, P. J., Pronovost, P. J., & Haut, E. R. (2012) · BMJ · doi:10.1136/bmj.e3935 · Cited by 126 · see citing works
A qualitative study on user acceptance of a home-based stroke telerehabilitation system
Chen, Y., Chen, Y., Chen, Y., et al. (2019) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2019.1683792 · Cited by 120 · see citing works
Commodore-Mensah, Y. Y., Turkson‐Ocran, R., Foti, K. E., Cooper, L. A., & Himmelfarb, C. D. (2021) · American Journal of Hypertension · doi:10.1093/ajh/hpab011 · Cited by 117 · see citing works
Brown, A. F., Liang, L.-J., Vassar, S., Escarce, J., Merkin, S., Cheng, E. M., Richards, A., Seeman, T., & Longstreth, W. (2018) · Annals of Internal Medicine · doi:10.7326/m17-0996 · Cited by 110 · see citing works
Self-citationHorner, R. D., Swanson, J. W., Bosworth, H. B., et al. (2003) · Stroke · doi:10.1161/01.str.0000060028.60365.5d · Cited by 105 · see citing works
Disparities in Hypertension Associated with Limited English Proficiency
Kim, E. J., Kim, T., Paasche-Orlow, M., Rose, A., & Hanchate, A. (2017) · Journal of general internal medicine · doi:10.1007/s11606-017-3999-9 · Cited by 105 · see citing works
Karve, S. J., Balkrishnan, R., Mohammad, Y. M., & Levine, D. A. (2010) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2009.10.006 · Cited by 91 · see citing works
Physician Density by Specialty Type in Urban and Rural Counties in the US, 2010 to 2017
Machado, S., Jayawardana, S., Mossialos, E. A., & Vaduganathan, M. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.33994 · Cited by 87 · see citing works
New Strategy to Reduce the Global Burden of Stroke
Feigin, V. L., Krishnamurthi, R., Bhattacharjee, R., Parmar, P. G. K., Theadom, A., Hussein, T., Purohit, M., Hume, P. A., Abbott, M., Rush, E. C., et al. (2015) · Stroke · doi:10.1161/strokeaha.115.008222 · Cited by 83 · see citing works
Salisbury, C., Montgomery, A. A., Hollinghurst, S. P., Hopper, C. D., Bishop, A., Franchini, A., Kaur, S., Coast, J., Hall, J., Grove, S., et al. (2013) · BMJ · doi:10.1136/bmj.f43 · Cited by 82 · see citing works
“Life's Simple 7” and Long‐Term Mortality After Stroke
Lin, M. P., Ovbiagele, B., Markovic, D., & Towfighi, A. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.114.001470 · Cited by 81 · see citing works
Self-citationMobile Technology for Primary Stroke Prevention
Krishnamurthi, R., Hale, L. A., Barker-Collo, S. L., et al. (2018) · Stroke · doi:10.1161/strokeaha.118.023058 · Cited by 74 · see citing works
Sandel, M. E., Wang, H., Terdiman, J. F., Hoffman, J. M., Ciol, M. A., Sidney, S., Quesenberry, C. P., Lu, Q., & Chan, L. E. (2009) · PM&R · doi:10.1016/j.pmrj.2008.10.012 · Cited by 69 · see citing works
Towfighi, A., Cheng, E. M., Ayala-Rivera, M., McCreath, H. E., Sanossian, N., Dutta, T. M., Mehta, B. K., Bryg, R. J., Rao, N. M., Song, S. S., et al. (2017) · BMC Neurology · doi:10.1186/s12883-017-0792-7 · Cited by 68 · see citing works
Self-citationCluster randomized controlled trial of TIA electronic decision support in primary care
Ranta, A., Dovey, S., Weatherall, M., O'Dea, D., Gommans, J., & Tilyard, M. (2015) · Neurology · doi:10.1212/wnl.0000000000001472 · Cited by 66 · see citing works
mHealth Intervention Applications for Adults Living With the Effects of Stroke: A Scoping Review
Burns, S. P., Terblanche, M., Perea, J. D., Lillard, H., DeLaPena, C., Grinage, N., MacKinen, A., & Cox, E. E. (2020) · Archives of Rehabilitation Research and Clinical Translation · doi:10.1016/j.arrct.2020.100095 · Cited by 64 · see citing works
Stroke in American Indians and Alaska Natives: A Systematic Review
Harris, R. M., Nelson, L. A., Muller, C. J., & Buchwald, D. (2015) · American Journal of Public Health · doi:10.2105/ajph.2015.302698 · Cited by 60 · see citing works
Education, sex and risk of stroke: a prospective cohort study in New South Wales, Australia
Jackson, C., Sudlow, C. L. M., & Mishra, G. D. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-024070 · Cited by 60 · see citing works
Incidence of Stroke and Socioeconomic Neighborhood Characteristics
Grimaud, O., Béjot, Y., Héritage, Z., Vallée, J., Durier, J., Cadot, E., Giroud, M., & Chauvin, P. (2011) · Stroke · doi:10.1161/strokeaha.110.596429 · Cited by 59 · see citing works
Underserved Urban African American Men: Hypertension Trial Outcomes and Mortality During 5 Years
Himmelfarb, C. D., Post, W. S., KIM, M., et al. (2007) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2006.08.003 · Cited by 58 · see citing works
Expansion Of Telestroke Services Improves Quality Of Care Provided In Super Rural Areas
Zhang, D. “., Wang, G., Zhu, W., Rajbhandari‐Thapa, J., Switzer, J. A., Hess, D. C., Smith, M. L., & Ritchey, M. D. (2018) · Health Affairs · doi:10.1377/hlthaff.2018.05089 · Cited by 55 · see citing works
Prevalence of Depression Among Stroke Survivors
Fei, K., Benn, E. K. T., Negron, R., Arniella, G., Tuhrim, S., & Horowitz, C. R. (2015) · Stroke · doi:10.1161/strokeaha.115.010292 · Cited by 51 · see citing works
Thonon, F., Perrot, S., Yergolkar, A. V., Rousset‐Torrente, O., Griffith, J. W., Chassany, O., & Duracinský, M. (2021) · Journal of Medical Internet Research · doi:10.2196/25131 · Cited by 51 · see citing works
Quality of hospital care in African American and white patients with ischemic stroke and TIA
Jacobs, B. S., Birbeck, G. L., Mullard, A. J., Hickenbottom, S. L., Kothari, R., Roberts, S., & Reeves, M. J. (2006) · Neurology · doi:10.1212/01.wnl.0000203335.45804.72 · Cited by 50 · see citing works
The Role of the mHealth in the Fight against the Covid-19: Successes and Failures
Giansanti, D. (2021) · Healthcare · doi:10.3390/healthcare9010058 · Cited by 50 · see citing works
Heeley, E. L., Wei, J. W., Carter, K. N., et al. (2011) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2011.tb03180.x · Cited by 48 · see citing works
Liu, S., Feng, W., Chhatbar, P. Y., Liu, Y., Ji, X., & Ovbiagele, B. (2017) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2017.04.050 · Cited by 44 · see citing works
Automated Software System to Promote Anticoagulation and Reduce Stroke Risk
Holt, T., Dalton, A., Marshall, T. P., Fay, M., Qureshi, N., Kirkpatrick, S., Hislop, J., Lasserson, D. S., Kearley, K. E., Mollison, J., et al. (2017) · Stroke · doi:10.1161/strokeaha.116.015468 · Cited by 41 · see citing works
Munsell, M., Oliveira, E. D., Saxena, S., Godlove, J. M., & Kiran, S. (2019) · Journal of Medical Internet Research · doi:10.2196/16286 · Cited by 40 · see citing works
Mszar, R., Mahajan, S., Elizondo, J. V., et al. (2020) · Stroke · doi:10.1161/strokeaha.120.031137 · Cited by 40 · see citing works
Lv, M., Wu, T., Jiang, S., Chen, W., & Zhang, J. (2021) · JMIR mHealth and uHealth · doi:10.2196/24116 · Cited by 37 · see citing works
Portals of Change: How Patient Portals Will Ultimately Work for Safety Net Populations
Casillas, A., Abhat, A., Mahajan, A. P., Moreno, G., Brown, A. F., Simmons, S., & Szilagyi, P. G. (2020) · Journal of Medical Internet Research · doi:10.2196/16835 · Cited by 36 · see citing works
Self-citationEthnic Differences in Prevalence of Post-stroke Depression
Dong, L., Sánchez, B. N., Skolarus, L. E., Morgenstern, L. B., & Lisabeth, L. D. (2018) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.117.004222 · Cited by 32 · see citing works
Racial/Ethnic Disparities in Acute Ischemic Stroke Treatment Within a Telestroke Network
Ajinkya, S., Almallouhi, E., Turner, N., Kasab, S. A., & Holmstedt, C. A. (2019) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2019.0127 · Cited by 32 · see citing works
Muller, C. J., Noonan, C., MacLehose, R. F., Stoner, J. A., Lee, E. T., Best, L. G., Calhoun, D., Jolly, S. E., Devereux, R. B., & Howard, B. V. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.012289 · Cited by 30 · see citing works
Li, C., Zhang, Y., Xu, T., Peng, H. Y., Wang, D., Xu, T., Sun, Y., Bu, X., Chen, C.-S., Wang, A., et al. (2018) · American Journal of Hypertension · doi:10.1093/ajh/hpy174 · Cited by 28 · see citing works
Stroke Disparities: From Observations to Actions
Sacco, R. L. (2020) · Stroke · doi:10.1161/strokeaha.120.030428 · Cited by 26 · see citing works
Muller, C. J., Alonso, Á., Forster, J. L., Vock, D. M., Zhang, Y., Gottesman, R. F., Rosamond, W. D., Longstreth, W. T., Jr., & MacLehose, R. F. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.118.010229 · Cited by 26 · see citing works
Mobile health for stroke: a promising concept for research and practice
Sarfo, F. S., & Ovbiagele, B. (2017) · mHealth · doi:10.21037/mhealth.2017.02.01 · Cited by 24 · see citing works
Reddy, S. T., Wu, T., Zhang, J., Rahbar, M. H., Ankrom, C. M., Zha, A. M., Cossey, T. D., Aertker, B. M., Vahidy, F., Parsha, K., et al. (2020) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2020.105418 · Cited by 23 · see citing works
Lin, A. M., Lin, M., Markovic, D., Ovbiagele, B. I., Sanossian, N., & Towfighi, A. (2018) · Stroke · doi:10.1161/strokeaha.118.022644 · Cited by 21 · see citing works
Self-citationToward Rapid Stroke Diagnosis with Multimodal Deep Learning
Yu, M., Cai, T., Huang, X., Wong, K., Volpi, J. J., Wang, J. Z., & Wong, S. T. C. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59716-0_59 · Cited by 20 · see citing works
Kim, B. J., Park, J. M., Park, T. H., Kim, J., Lee, J., Lee, K., Lee, J. S., Chae, J. E., Thabane, L., Lee, J., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229483 · Cited by 16 · see citing works
Sureshkumar, K., Murthy, G. V. S., & Kuper, H. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-020098 · Cited by 14 · see citing works
Borges, P. R. T., Resende, R. A., Dias, J. F., Mancini, M. C., & Sampaio, R. F. (2021) · Trials · doi:10.1186/s13063-021-05387-2 · Cited by 14 · see citing works
mHealth, Health, and Mobility: A Culture-Centered Interrogation
Dutta, M. J., Kaur‐Gill, S., Tan, N. Q. P., & Lam, C. (2017) · Mobile communication in Asia · doi:10.1007/978-94-024-1251-2_6 · Cited by 8 · see citing works
Usage Patterns of Web-Based Stroke Calculators in Clinical Decision Support: Retrospective Analysis
Kummer, B. R., Shakir, L., Kwon, R. J., et al. (2021) · JMIR Medical Informatics · doi:10.2196/28266 · Cited by 4 · see citing works
Lively, S., DeRemer, C. E., Carroll, M., et al. (2016) · Journal of Innovations in Cardiac Rhythm Management · doi:10.19102/icrm.2016.070802 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [38]P P, R K, MA I, A H, SS M, Y V, M K, M P, AG T, B N, W W, DK M, S B-C, R S, S D, The Stroke Riskometer(TM) App: validation of a data collection tool and stroke risk predictor. International journal of stroke: official journal of the International Stroke Society. 2015; 10(2): 231– 244. 25491651 PMC4335600
- [91]World Health Organisation. Recommendations on digital interventions for health system strengthening. 31162915
Cited by
Sorted by citations
Gan, L., Huang, L., Li, L., Yang, X., Meng, L., Pang, Z., & Wei, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-06258-5 · Cited by 3 · see citing works
- Authors
- Verma, A., Towfighi, A., Brown, A., Abhat, A., & Casillas, A.
- Affiliations
- University of California, Los Angeles (US)
- University of Southern California (US)
- Los Angeles County Department of Health Services (US)
- Venue
- Stroke
- Published
- 2022-03
- Volume
- 53
- Issue
- 3
- Pages
- 689-697
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- PMC
- PMC8885852
- OpenAlex
- W4210914039
- Cited by
- 65
- References
- 84
- Citations by year
- 2026: 20 · 2025: 18 · 2024: 7 · 2023: 14 · 2022: 6
- FWCI
- 8.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Stroke (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (1ot2od032581-01, OT2OD032581)
- National Institute on Minority Health and Health Disparities (K23MD016943, S21MD012472)
- Topics
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- digital health, stroke care, health equity, digital health disparities, underrepresented groups, stroke prevention, ischemic stroke detection, thrombolysis, endovascular intervention, post-acute stroke care, stroke rehabilitation, secondary stroke prevention, health care access, COVID-19 pandemic
- MeSH terms
- Health Equity, COVID-19, SARS-CoV-2, Humans, Telemedicine, Stroke, Pandemics, Inventions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
